SMIC 2022
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract List ::

Page 4 (data 91 to 120 of 199) | Displayed ini 30 data/page
<< PREV 1 2 3 4 5 6 7 NEXT >>

91 Chemistry ABS-184

Structure- antioxidant Activity Relationship of Flavonoids from Three Species of Indonesian Artocarpus
Fera Kurniadewi*1), Iqbal Musthapa 2), Lita Amalia Ramadhan 1), Muktiningsih 1), Irma Ratna Kartika 1), Hanhan Dianhar 1),Kifka Aredesya 1)

1) Chemistry Study Program, Universitas Negeri Jakarta, Jalan Rawamangun Muka, Jakarta, 13220
2) Chemistry Study Program, Universitas Pendidikan Indonesia, Jalan Gegerkalong, Bandung


Abstract

The antioxidant activities of six flavonoids having different basic chemical structures from three artocarpus species (A. nangkadak, A. champeden, and A. altilis) were studied to establish their structure-activity relationships using the DPPH method. Special attention was paid to the flavonoids Kudraflavone C (flavone), artocarpin (flavone), and artocapanon (flavane), which possess different basic structures but the same hydroxylation pattern (2^ and 4^ -OH) in the B-ring. It was found that these three flavonoids exhibited comparable antioxidant activities against DPPH leading to the conclusion that the presence of 7-OH group, 2^ and 4^-OH groups in the B-ring and 2,3-double bond is a determinant of a high antioxidant capacity. Moreover, the presence of prenyl groups and structural modification involving these groups to flavonoids such as cyclization of the 3-prenyl to make a pyranohydrobenzoxanthone type (cycloartocarpine, cyclomorusin, cyclocommunol) can decrease antioxidant activities.

Keywords: Artocarpus, Antioxidant, Structure- antioxidant Activity Relationship

Share Link | Plain Format | Corresponding Author (Fera Kurniadewi)


92 Chemistry ABS-211

Optimization of Roselle (Hibiscus sabdariffa) Anthocyanin Extraction Parameter by Response Surface Modelling and Potential of Stems, Leaves and Calyces Residue as an Alternative Sources of Anthocyanin for Different Industrial Sectors.
Nurul Nadiah Abu Bakar (1), Rozida Mohd Khalid (1*), Jalifah Latip (1), Syaifuzah Sapian (2)

1) Department of Chemical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia- nadiahabubakar[at]hotmail.com- jalifah[at]ukm.edu.my
2)Centre for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences,
Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia- syaifuzahsapian17[at]gmail.com

*Correspondence: rozidakhalid[at]ukm.edu.my


Abstract

Roselle (Hibiscus sabdariffa) is perennial plants found in Malaysia that are rich in anthocyanin content mainly in calyces. However, the different extraction parameters can affect the amount of anthocyanin yielded from roselle. Hence, this study was aimed to optimize the anthocyanin extraction conditions to achieve highest anthocyanin concentration in calyces and apply the optimized conditions in stems, leaves, and calyces residue. For this purpose, optimization was implemented by using Response Surface Methodology (RSM) and Central Composite experimental design. Two variables of ethanol percentage and extraction time were used for optimization and proceeded with a pH differential method to determine the anthocyanin content and quantify the major anthocyanin (delphinidin-3-sambubioside and cyanidin-3-sambubioside) with high performance liquid chromatography (HPLC). Then, optimized conditions were applied to stems, leaves, and calyces residue to compare the anthocyanin content with calyces. The optimization model showed that 70% of ethanol (v/v) with the extraction time 30 minutes yielded highest anthocyanin content of 3.420 mg Cya3G/g DW from calyces. The anthocyanin content in stem, leaves, and calyces residue yielded by using the optimized conditions were about 0.073 mg Cya3G/g DW, 0.072 mg Cya3G/g DW, 2.227 mgCya3G/g DW respectively. Thus, this study suggests that anthocyanin from stem, leaves, and calyces residue can be further isolated for future studies to unveil their potential to be used as alternative sources of anthocyanin.

Keywords: Anthocyanins, Response surface methodology, Roselle, HPLC

Share Link | Plain Format | Corresponding Author (Nurul Nadiah binti Abu Bakar)


93 Chemistry ABS-212

Optimization of the Synthesis Conditions for Carvacrol Derivatives
Rini Retnosari (1,2) and Jalifah Latip (1*)

1) Department of Chemical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
2) Department of Chemistry, Faculty of Mathematic and Natural Science, Universitas Negeri Malang, Jl. Semarang No. 5 Malang, Indonesia

*Corresponding author: jalifah[at]ukm.edu.my


Abstract

Among the aromatic monoterpenoids, carvacrol has been noticed by organic synthesis and medicinal chemistry researchers as a building block for developing new drugs. The popularity of carvacrol is based on their various biological activities. Unfortunately, the utilization of carvacrol is limited due to its hydrophobicity and volatility nature. The transformation or chemical modification of carvacrol to its ester derivatives is needed to overcome the limitations. The ester derivatives of carvacrol have already been synthesized by using conventional methods. The carvacryl ester is formed by mixing carvacrol and chloroacetyl chloride in the presence of triethylamine. However, optimization of the synthesis conditions is still needed to improve the yield as well as reducing the reaction time. This research is designed to explore the green synthesis of carvacrol derivatives starting with the utilization of microwave irradiation in the formation of the carvacryl ester. The result showed that microwave irradiation is not suitable to be applied in the synthesis of carvacryl ester from carvacrol and chloroacetyl chloride. The applied high temperature and pressure was found to be unsuitable due to the volatility nature of chloroacetyl chloride. Alternatively, another attempt which is aimed to reduce the reaction time of the conventional methods is executed via utilizing different solvents. We hereby discuss this ongoing work.

Keywords: microwave irradiation, carvacrol derivatives, esterification reaction

Share Link | Plain Format | Corresponding Author (Rini Retnosari)


94 Chemistry Education ABS-20

Analysis of the Learning Environment Culturally Responsive Transformative Teaching Online in Chemistry Learning
Yuli Rahmawati, Achmad Ridwan, Elma Suryani, Ilmi Zakiah Amalia

Chemistry Education Study Program, Universitas Negeri Jakarta


Abstract

This study aims to obtain a profile of students perceptions of the learning environment through the Culturally Responsive Transformative Teaching (CRTT) approach which is carried out online in chemistry learning. The research was carried out in a high school in Jakarta in the even semester of the 2020/2021 academic year with 40 participants from class X MIPA. This study uses qualitative methods with data collection techniques used are interviews, observations, and reflective journals. Collecting data related to aspects of the CRTT-based learning environment. Through this approach, students get new experiences that make them open-minded and show empathy to other students. Dimensions of the learning environment based on the results of the application of learning with this approach, namely teacher support, student interaction and collaboration, response, access, and self-directedness. The profile of students perceptions of the learning environment through this approach is through teacher support to form a comfortable classroom environment to increase students learning ability. Learners who engage in meaningful discussions also tend to show better understanding. So that this research has a positive impact on the learning environment and students^ understanding of chemistry learning.

Keywords: Online Culturally Responsive Transformative Teaching, Learning Environment, Chemistry Learning, Ethnochemistry

Share Link | Plain Format | Corresponding Author (Yuli Rahmawati)


95 Chemistry Education ABS-21

A Closer Look at Chemistry in Real Life: Analyzing Students Chemical Literacy through the Integration of Ethical Dilemma-STEAM Teaching Model
Yuli Rahmawati, Elsa Vera Nanda, Annisa Khairani, Alin Mardiah

Chemistry Education Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Indonesia


Abstract

This paper aimed to analyze students chemical literacy through implementing the Ethical Dilemma-STEAM teaching model in acid and base learning. This model is designed to engage students in values-based learning through dilemma stories posing environmental problems to be solved through the development of an interdisciplinary project. This study involved forty 11-grade students at a secondary school in Jakarta, Indonesia. The qualitative method was employed to investigate students learning experiences through multiple data collection of classroom observation, semi-structured interviews, reflective journals, and chemical literacy tests. The model engaged students through five stages of learning: value reflection, problem-solving & decision making, content integration, STEAM integration, and transformation. In this model, students are challenged to develop a jet-powered boat project as the solution to the inter-island mobility dilemma. The study demonstrated that students are experiencing in chemical literacy development through encouraged to think critically by applying their conceptual understanding into practice. Besides, they feel motivated to look closer at chemistry issues in everyday life. Thus, this model can be used as an alternative way to engage students in making relevances between chemistry concepts and their application in the environmental context. The paper also addressed the researchers difficulties in implementing this innovative approach to chemistry learning during COVID-19 outbreaks.

Keywords: Acids and Bases, Chemistry Learning, Chemical Literacy, Ethical Dilemma-STEAM Teaching Model

Share Link | Plain Format | Corresponding Author (Yuli Rahmawati)


96 Chemistry Education ABS-24

The Impact of Using the ^Go-Chemist!^ App on Students^ Chemistry Motivation in Atomic Structure
Irwanto Irwanto, Afrizal Afrizal, Isna Rezkia Lukman, Sherina Debora Manalu, Evi Tri Utami, Yashmin Yashmin, Darius Agung

Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Malikussaleh, Indonesia


Abstract

The purpose of this study is to analyze the effect of using Go-Chemist! app on student motivation on the topic of atomic structure. In this study, we performed a quasi-experimental design. The sample was 69 tenth-grade students from two intact classes at a public high school in Jakarta, Indonesia. The control group was taught using a printed book, while the experimental group was instructed using the Go-Chemist! application. Student motivation in both groups was then evaluated before and after intervention using the Chemistry Motivation Questionnaire (CMQ). In order to examine the difference and increase in the scores of the two groups, independent and paired sample t-tests were employed. The results reflected that after treatment, students in the experimental group scored higher than students in the control group in terms of motivation. In addition, there was a significant increase in motivation among experimental group students compared to their counterparts. This suggested that the use of the Go-Chemist! is effective in improving students^ motivation in atomic structure. As such, we recommend curriculum developers, policymakers, teachers, and students take advantage of Go-Chemist! app in the teaching and learning of chemistry.

Keywords: Chemistry motivation, Atomic structure, Mobile learning, Go-Chemist! app

Share Link | Plain Format | Corresponding Author (Irwanto Irwanto)


97 Chemistry Education ABS-25

^Go-Chemist!^ App and Its Impact on Students^ Attitudes toward Chemistry on Colligative Properties
Irwanto Irwanto, Afrizal Afrizal, Isna Rezkia Lukman, Darius Agung, Yashmin Yashmin, Evi Tri Utami, Sherina Debora Manalu

Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Malikussaleh, Indonesia


Abstract

This study is intended to explore the impact of using the ^Go-Chemist!^ app on students^ attitudes toward chemistry on colligative properties. This pretest-posttest quasi-experimental design study involved 70 twelfth-grade students at a public high school in Jakarta, Indonesia. One class was assigned randomly as a control group taught using printed books. Meanwhile, another class was assigned as an experimental group taught using the ^Go-Chemist!^ app. Students^ attitudes toward chemistry in both groups were then assessed before and after treatment using the Attitude Toward Chemistry Lessons Scale (ATCLS). To analyze the data, we employed independent and paired sample t-tests. The results of the analysis indicated that after the intervention, there was a significant difference in attitude scores between the two groups in favor of the experimental group. Students in the experimental group also showed a significant increase in mean scores from pretest to posttest. This reflected that the application of the ^Go-Chemist!^ app effectively increases students^ positive attitudes toward chemistry lessons on the topic of colligative properties. Due to its effectiveness in cultivating positive attitudes, the researchers then suggested to teachers take advantage of the ^Go-Chemist!^ app in chemistry learning.

Keywords: Attitudes toward chemistry, Colligative properties, Go-Chemist! app

Share Link | Plain Format | Corresponding Author (Irwanto Irwanto)


98 Chemistry Education ABS-26

^Go-Chemist!^ App: Effect on Students^ Self-Efficacy Toward Chemistry and Technology
Irwanto Irwanto, Afrizal Afrizal, Isna Rezkia Lukman, Yashmin Yashmin, Darius Agung, Sherina Debora Manalu, Evi Tri Utami

Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Malikussaleh, Indonesia


Abstract

This study aims to investigate the effect of using the ^Go-Chemist!^ on students^ self-efficacy regarding chemistry and technology on the topic of hydrocarbons. This study used a quasi-experimental pretest-posttest design. The respondents were 72 students (25 boys and 47 girls) at a public high school in Jakarta, Indonesia. Students in the experimental group (n=36) were instructed to use the ^Go-Chemist!^ app and students in the control group (n=36) were taught using printed textbooks. All students in both groups completed the Self-Efficacy Scale towards Science and Technology (SESST) before and after the intervention to measure their level of self-efficacy on the topic of hydrocarbons. Independent and paired sample t-tests were used to analyze the difference and increase in scores between the experimental and control groups. The results showed that students in the experimental group were superior and there was a significant increase in the mean score compared to the control group in terms of self-efficacy. Based on the findings, we recommend teachers and students use the ^Go-Chemist!^ app to promote students^ self-efficacy toward chemistry and technology on the topic of hydrocarbons to a satisfactory level.

Keywords: Gamified mobile app, Hydrocarbons, Mobile learning, Self-efficacy

Share Link | Plain Format | Corresponding Author (Irwanto Irwanto)


99 Chemistry Education ABS-30

Go-Chemist!: A Mobile App to Promote Students^ Achievement and Perceptions of Chemistry
Irwanto Irwanto, Afrizal Afrizal, Isna Rezkia Lukman, Evi Tri Utami, Sherina Debora Manalu, Darius Agung, Yashmin Yashmin

Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Malikussaleh, Indonesia


Abstract

This study was conducted to investigate the use of the ^Go-Chemist!^ app on students^ achievement and perceptions of chemistry, especially on the topic of atomic structure. This study used a quasi-experimental pretest-posttest design. The respondents were 72 students consisting of 42 females and 30 males at a public high school in Jakarta, Indonesia. They were recruited from 2 intact classes, namely the experimental and control groups with a total of 36 students each. Students in the experimental group were instructed with the ^Go-Chemist!^ application, while students in the control group were taught using a printed textbook during the treatment. To collect data, the Atomic Structure Test (AST) and the Perception of Chemistry Questionnaire (PCQ) were completed by all respondents as pretests and posttests to measure changes in their achievement and perceptions. Independent and paired sample t-tests were used to check the difference and increase in the mean score between the two groups. As a result, students in the experimental group scored higher on achievement and perception than students in the control group after the intervention. In addition, students using the mobile app showed a significant improvement in achievement and perception compared to their counterparts. Based on the findings, it can be concluded that the ^Go-Chemist!^ app is effective for elevating students^ academic achievement and their positive perceptions on the topic of atomic structure. Thus, it is highly recommended for teachers and students to use this mobile app to support teaching and learning chemistry.

Keywords: Mobile learning, Achievement, Perceptions of chemistry, Atomic structure, Go-Chemist! app

Share Link | Plain Format | Corresponding Author (Irwanto Irwanto)


100 Chemistry Education ABS-52

Integration of Design Thinking with STEAM-PjBL in chemistry learning to develop Computational Thinking skills of Students
Lintang Rizkyta Ananda(a*), Yuli Rahmawati(b), Fauzan Khairi(c), Irwanto(d)

(a*)(b)(d)Chemistry Education Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Indonesia
(c)Electrical Engineering Departement, Faculty of Engineering, Universiti Teknologi Malaysia


Abstract

This study aims to develop computational thinking of the student in redox reaction through the integration of Design Thinking with STEAM-PjBL. The research involves 41 year-10 students in one of the secondary schools in Rangkasbitung, West Java, Indonesia. The study was conducted by utilizing various online platforms such as Zoom Meetings, Google Jamboard, and Edmodo to facilitate learning. The qualitative method was employed with interviews, observation, reflective journals, and chemistry test techniques. Five stages of Design Thinking were employed Empathize, Define, Ideate, Prototype, and Test (Plattner, 2010). The computational thinking skills are assessed through four indicators developed by Guidry et al. (2014) of Decomposition, Algorithms, Data, and Abstraction. The results show that the computational thinking skills of the student were developed by encouraging ideas, and taking active action by thinking critically and deeply to solve contextual problems of water pollution in the Ciujung River due to the use of detergent waste, related to redox reaction by the STEAM project with empathy and creative. Understanding the relationship of chemical concepts to daily life is a challenge in applying this approach. The integration of Design Thinking in STEAM-PjBL can be employed to engage students in challenging learning experiences and developing 21st-century skills.

Keywords: Design Thinking- STEAM-PjBL- Computational Thinking

Share Link | Plain Format | Corresponding Author (Lintang Rizkyta Ananda)


101 Chemistry Education ABS-60

Analysis of Preservice Chemistry Teachers^ Competences In Designing STEM-TPACK Learning
Radika Azaahra (a*), Yuli Rahmawati (a), Yusmaniar (a)

a) Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
*radikaazaahra75[at]gmail.com


Abstract

The qualitative study aims to analysis the competences of preservice chemistry teachers to design STEM-TPACK learning during the COVID-19 pandemic. The research data were obtained from 34 preservice chemistry teachers who took ICT courses in Chemistry Learning in the seventh semester. This research refers to the existing literature on TPACK and Webquest to make preservice chemistry teachers become professionals in increasing TPACK by implementing STEM learning. This research created a google site STEM-TPACK called STEMQuest, as a lesson design that can be used as a resource, application, and activity that can be developed and distributed to facilitate students in learning chemistry. After the preservice chemistry teachers finished designing STEMQuest, implementation was carried out at one of secondary school in Jakarta. Research data were obtained through observations, STEM-TPACK questionnaires, reflective journals, and interviews. The results show that preservice teachers^ efficacy for their STEM-TPACK developed significantly after they co-designed the STEM project on a STEMQuest. The preservice chemistry teachers found that the STEMQuest design was effective in achieving X grade students^ learning outcome in relating chemistry bonding concept and STEM learning through engaging and meaningful learning experiences.

Keywords: STEM, STEM-TPACK, STEMQuest, TPACK.

Share Link | Plain Format | Corresponding Author (Radika Azaahra)


102 Chemistry Education ABS-61

Developing Students Critical Thinking Skills in Chemistry Learning of Acid-Base Topic through Environmental Education Experiences in STEM Project Based Learning
Ali Musahal (a*), Yuli Rahmawati (a), Agung Purwanto (a)

a) Department of Chemistry Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur, 13220, Indonesia
*alimusahal87[at]gmail.com


Abstract

This study aimed to develop students critical thinking skills in chemistry learning through solving the environmental problems by implementing STEM project based learning. Students developed project of soap and detergent waste treatment equipment to manage the problem of water pollution in relation to acid-base topics. The research employed qualitative method by collecting data through interviews, reflective journals, observations, and critical thinking tests. The research involved 25 year-11 chemistry students at a private Islamic boarding school in Banten, Indonesia. The data collected were analyzed using five themes of critical thinking skills, namely identify the question at issue, conceptual understanding, ideas connection, assumption, and inferences. The result showed that the students have good critical thinking skills which was shown in the rubric level of the mastering and competent level. This research encouraged the students to improve their courage in expressing the ideas, understand the acid base concept, explore various scientific resources, connect ideas, and create justification of assumptions in addition to environmental awareness and behavior. The challenge faced during the research was the management of resources and time, and the development of project ideas according to the learning topic. The innovative teaching approach has engaged students in meaningful and empowering learning experiences.

Keywords: chemistry learning, acid-base topic, critical thinking skills, environmental education, STEM project-based learning

Share Link | Plain Format | Corresponding Author (ALI MUSAHAL)


103 Chemistry Education ABS-65

Development of Mobile Learning Integrated With Learning M toanagement System (LMS) Based on Experiential Learning and Its Effectiviness of Chemical Literacy
Ucu Cahyana, Agung Purwanto, Nabila Lailil Widiastuti

Magister of Chemistry Education, UNJ


Abstract

This research aims to develop mobile learning integrated with Learning Management System (LMS) based on experiential learning and test its effectiviness of chemical literacy on the topic of volta cell based environmental perspective. The research subjects were 68 students of class XI major chemical analysis at SMKN 2 Cilegon. The research was carried out based on an needs analysis students and teachers that the used smartphones in chemistry learning was not optimal and students literacy were low especially encounter the world of work. This research method used Research and Development (R&D) and quantitative approach. This study begins with Borg and Gall Model on development of mobile learning and test effectiviness on chemical literacy. The type of research used is a true-experimental design type pretest - posttest control group design. This research used two groups of subjects are the control and experimental groups. The learning model used is experiential learning. The instruments used are chemical literacy test, questionnaire of media expert validation, questionnaires of language and topic expert validation and questionnaire of trial test student and teacher. The step of mobile learning development are making designs and applications, validation by experts of language and topic, validation by experts of media, trial test by teachers and students, test of instrument eligibility and implementation. The result product is application of mobile learning wit format SelVoltaMobile.apk. Mobile learning has complete features include competencies, learning material, video, discussion link, chemistry flash and quiz. Product can be downloaded in LMS https://sites.google.com/view/selvoltamobile learning. The effectiviness chemical literacy of experiment class higher than control class. Based on the result of uji t-test, it can be conclude that there was significant increase at chemical literacy with the use of mobile learning integrated LMS based experiantial learning.

Keywords: mobile learning, chemical literacy

Share Link | Plain Format | Corresponding Author (Nabila Lailil Widiastuti)


104 Chemistry Education ABS-77

Development of Mobile Learning Integrated Learning Management System (LMS) Based on Discovery Learning and Its Influence on Students Critical Thinking Skills
Ucu Cahyana, Afrizal, Siti Aisyah

Magister of Chemistry Education, Universitas Negeri Jakarta


Abstract

This study aims to develop and determine the effect of using mobile media Learning integrated Learning Management System (LMS) based on Discovery Learning on students critical thinking skills on Ion Balance and pH of Salt Solutions . The research was carried out at SMA Negeri 92 Jakarta in December 2021 until April 2022. Method The research used is research and development by Borg and Gall with modify five Step, need analysis- development product- validation- testing product- and implementation. To see the influence of Mobile Learning media uses quantitative research with the True Experimental method . The research design used was a pretest-posttest control group design. In this study, 2 classes were used, namely class XI MIPA 4 as the experimental class and class XI MIPA 3 as the control class. Hypothesis testing using the Independent-Sample T test . The resulting media output is salt hydrolysis.apk with a file size of 78 MB which is compatible on android devices on smartphone nor tablets and salt hydrolysis.exe with a file size of 35.4 MB for laptop or PC use . Hypothesis testing on the posttest data obtained the value of Sig. (2- tailed) (0.01) < alpha (0.05). Could concluded that H0 rejected and H1 received which means there is influence significant use of Mobile Learning integrated Learning Management System (LMS) based on Discovery Learning on students critical thinking skills on Ion Equilibrium and pH of Salt Solutions .

Keywords: Mobile Learning- LMS- Discovery Learning- Critical Thinking Skills

Share Link | Plain Format | Corresponding Author (Siti Aisyah)


105 Chemistry Education ABS-111

The Flipped Classroom Combined with Peer Tutoring on Chemistry Learning during the Covid-19 Outbreak in Indonesia: Analysis an Effectiveness
Mohammad Asrul Ashmi Karepesina (a*), Nurul Chandra Waskitaningtyas (a), Maria Paristiowati (a), Setia Budi (a), Elsa Vera Nanda (a)

a) Chemistry Education Study Program, Universitas Negeri Jakarta, Jakarta, Indonesia
*asrulkarepesina10[at]gmail.com


Abstract

Online learning is one of the solutions to overcome the impact of the COVID-19 pandemic on the education sector with all the limitations faced by teachers and students. In its implementation, students feel less motivated in learning during the pandemic, because the learning activities carried out are not cooperative and the lack of interaction between students. This study aims to determine the effectiveness of the combined flipped classroom-peer tutor learning model during the pandemic. Implementation is carried out on acid base and buffer solution material, in the 2020-2021 school year. This research uses descriptive quantitative research with survey method. The subjects in this study were 71 students of XI grade in two senior high schools in Jakarta. The instruments used in the study were effectiveness and motivation questionnaires. The results showed that 8.57% of students thought that the effectiveness of the combined flipped classroom-peer tutor learning model during the pandemic was in the very good category- 80% of students^ opinions are in good category, and 11.42% of students^ opinions are in the medium category. Meanwhile, the students^ motivation showed that most of the students (55,55%) had high motivation towards the acid base and buffer solution material in the combination flipped classroom-peer tutor learning model. It can be concluded that the flipped classroom-peer tutor learning model is effectively applied during the pandemic as an alternative to online learning.

Keywords: Acid Base- Buffer Solution- Effectiveness Learning- Flipped Classroom- Long Distance Learning- Peer Tutoring

Share Link | Plain Format | Corresponding Author (Mohammad Asrul Ashmi Karepesina)


106 Chemistry Education ABS-115

Systematic Literature Review (SLR) on STEAM-based learning in the Last Decade
Lintang Rizkyta Ananda(a*), Irwanto(b)

(a*)(b)Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Indonesia


Abstract

This literature review aims to provide and analyze an overview of STEAM research from 2011 to October 2021. The identified journal articles are from the Springer database. This study used a Systematic Literature Review (SLR) (Higgins & Green, 2008), with a prismatic flow diagram that can show inclusion activities and data search results (Stovold et al., 2014). There are 470 articles spread across 12 sub-disciplines and after each paper from all the documents has been double-checked, 124 articles have met the inclusion criteria and were selected for review. The result obtained from the STEAM research articles has progressed from time to time. Of 72 articles analyzed, the most productive journal name is the International Journal of STEM Education with the United States of America as the first rank of publishing STEAM research articles. The qualitative research method is the most widely used in STEAM research, with the most research instrument using semi-structured interviews. The effect of the research articles has a 99% positive impact on the research. it can be included more aspects and more types of articles to analyze and should be able to take advantage of a longer period in conducting literature studies in the next future.

Keywords: Systematic Literature Review- STEAM-

Share Link | Plain Format | Corresponding Author (Lintang Rizkyta Ananda)


107 Chemistry Education ABS-129

Enact Model as a Learning Strategy Based on the Socio-Scientific Issue in science Education
Maria Erna1, Masnaini Alimin2, Evi Suryawati3, Sri Wilda Albeta4, Gusnadi Priyambada 5, Lee Hyunjuu6

1,3,4,5 Faculty of science and Teacher Training, Universitas Riau, Indonesia
2,6 Science Education Department, Ewha womans University, South Korea


Abstract

Environmental is a crucial thing that we have to care more for future life. This paper is a concept paper where The ENACT model, a systematic teaching-learning framework for encouraging social responsibility among student, will be introduced in this study, and its implementation in science education classes will be discussed. The five steps of the ENACT paradigm are as follows: 1) Engage in socio-scientific issues (SSIs), 2) Navigate SSIs, 3) Anticipate Consequences, 4) Conduct Scientific and Engineering Practice, and 5) Take Action. This concept relates instruction in socio-scientific issue (SSI) to instruction in engineering. We also conducted SSI literature review, review of nature of science and technology, and the correlation literature reviews for the ENACT model. This paper will also demonstrate how the ENACT model encourages students to pursue more ethical and sustainable growth through the use of ethical problem-solving techniques grounded in an understanding of the nature of science (NOS) and technology.

Keywords: ENACT model, SSI, NOS, Science education

Share Link | Plain Format | Corresponding Author (Maria Erna)


108 Chemistry Education ABS-130

Pre-service Teachers Engagement in the TPACK-based Training Program through Self-Reflections
Aodah Diamah, Yuli Rahmawati, Maria Paristiowati, Ella Fitriani, Irwanto Irwanto, Stephen Dobson, Doyet Sevilla

Department of Electronic Engineering Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Victoria University of Wellington, New Zealand


Abstract

This study aims to explore pre-service teachers in a 2-week Technological Pedagogical Content Knowledge (TPACK)-based training program. To achieve the goal, the reflective practice framework is employed in TPACK training with steps of Explore-Engage-Reflection-Transformation. The study employed a qualitative approach with data collection of interviews, reflective practice, and observation. The participants of 30 pre-service teachers (5 male- 25 female) at a public university in Indonesia are engaged in the training. The training is provided by lecturers from New Zealand to provide different perspectives of TPACK components in pedagogy, technology, and subject matter. After the training in each topic, the pre-service teachers conducted reflection and envision their future roles, the next step is they will implement in school practices. The study found that the pre-service teachers developed a good understanding of the role of ICT in the TPACK framework for creating meaningful learning experiences. They understand their roles as teachers in developing pedagogy and assessment for engaging students and empowering students^ agency. Professional learning from the New Zealand education system was introduced within a holistic framework to stimulate students to be creative future-directed teachers and agents of change. The next steps of the training, they will implement in school to reflect their TPACK design lesson. The future study will explore their reflections on the implementation of TPACK.

Keywords: TPACK, pre-service teacher, self-reflection, teacher education program

Share Link | Plain Format | Corresponding Author (Irwanto Irwanto)


109 Chemistry Education ABS-158

The Psychometric Analysis of a Nigerian Multiple-choice Chemistry Question for Senior School Certificate Examination Using Rasch Model
Olumuyiwa Moses Desmennu, Olukemi Olubunmi Kolawole, Michael Akinsola Metibemu

Olumuyiwa Moses Desmennu, University of Kentucky, Lexington, Kentucky, USA
Olukemi Olubunmi Kolawole, University of Kentucky, Lexington, Kentucky, USA
Michael Akinsola Metibemu, University of Ibadan, Ibadan, Nigeria


Abstract

Science education is important to improve students^ understanding of scientific concepts and ultimate stimulation of innovative competence. Acquiring scientific skills is particularly important to the development of any nation. Attaining literacy in chemistry, a vital component of Science, Technology, Engineering, and Mathematics (STEM) subjects is vital to attaining mastery of scientific competence and skills in today^s world.
A test score is a number which reflects a candidate^s proficiency in some clearly defined knowledge or skill domain. A test theory model is necessary to help better understand the relationship that exists between the observed (or actual) score on an examination and the underlying proficiency in the domain, which is unobserved and may spell low achievement. Subsequently, the psychological disadvantage that low achievement in science and a negative attitude toward science subjects could bring on a learner may be unquantifiable until a study is done to ascertain its overall impact on students^ continued engagement and persistence in STEM. This effort therefore seeks to study the Psychometric behavior of the test items using Rasch analysis to determine the dimensionality, latent behaviors and true score and compared it with previous findings in literature. This thus contributes to the discourse on validity of assessment.

Keywords: Rasch Model, Test theory, True score

Share Link | Plain Format | Corresponding Author (Olumuyiwa Moses Desmennu)


110 Chemistry Education ABS-168

Research Trends in Chemistry Education: A Bibliometric Review (1895-2022)
Irwanto Irwanto, Afrizal Afrizal, Isna Rezkia Lukman

Department of Chemistry Education, Universitas Negeri Jakarta, Indonesia
Department of Chemistry Education, Universitas Malikussaleh, Indonesia


Abstract

Chemistry plays an important role in human life, however, only a few studies offer an up-to-date and comprehensive overview of chemistry education research (CER) using bibliometric analysis. Thus, the current study explores the trends and status of research in chemistry education over time. A total of 4104 peer-reviewed journal articles were retrieved from the Scopus database. The number of publications in CER demonstrates a significantly increasing pattern from 1895 to 2022. The most frequently cited articles belong to Black and Deci, Hartinger and Dyson, and Baepler et al. Journal of Chemical Education, Chemistry Education Research and Practice, and International Journal of Science Education are the most productive journals. Purdue University, Universitat Bremen, and the University of South Florida were found to be the leading institutions. The US, Turkey, and Germany are leading in terms of the number of publications. The top three authors with the most publications were led by I. Eilks, V. Talanquer, and M.M. Cooper. The most frequently used author keywords are ^first-year undergraduate^, ^chemistry education^, and ^upper-division undergraduate^. The current study provides a holistic understanding of the development of CER and a reference for future studies in the field.

Keywords: Research Trends, Chemistry Education, Bibliometric Review

Share Link | Plain Format | Corresponding Author (Isna Rezkia Lukman)


111 Chemistry Education ABS-177

Dilemma-STEAM Teaching Model for Students Engagement in 21st Century Learning
Meiliasari Meiliasari, Yuli Rahmawati, Irwanto, Ade Dwi Utami, Massus Subekti, Handjoko Permana, Hadi Nasbey, Ade Suryana

Universitas Negeri Jakarta


Abstract

The study aims to engage students in 21st century learning through the implementation of Dilemma - Science, Technology, Engineering, Arts, and Mathematics (STEAM) teaching model. Dilemma-STEAM teaching model integrates dilemma stories with problem solving tasks to challenge students to develop their STEAM thinking and strategies to solve the problems. The qualitative research was employed in three schools involving 25 students in one primary school and 60 students in two junior high schools. The data were collected through semi-structured interviews, reflective journals, and classroom observations. Using thematic data analysis, this study found that the students were engaged in discussions of dilemma story about energy. Moreover, as they exercised different strategies to solve the problems, they were able to construct their understanding of STEAM concepts such as environmental car, oven, and hydroelectric power plants. The activities also helped the students to develop 21st century skills of critical and creative thinking skills. In addition to solve the problems, they develop skills of collaboration and communication. Finally, dilemma-STEAM enables multidisciplinary approach in conducting science lessons which provide meaningful learning experiences for students.

Keywords: science learning, dilemma-STEAM, 21st century skills, renewable energy

Share Link | Plain Format | Corresponding Author (Meiliasari Meiliasari)


112 Computer Science ABS-5

My Trackmap: Web-based Application for Tracking Employees
Evan Edbert(1), Eko Setyo Purwanto(1), Rinda Nariswari(2), I Gusti Agung Anom Yudistira(2), Samsul Arifin(2)

1Department of Computer Science, School of Computer Science, Bina Nusantara University, Indonesia.
2Department of Statistics, School of Computer Science, Bina Nusantara University, Indonesia.


Abstract

ESRI is a company that provides application services in the field of Geographic Information System. The main problem in this company is that there is no tracking process for sales employees who are working outside. On the other hand, the manual tracking process is also a concern. In this research, the author makes My Trackmap, a web-based application to track salesmen in a company. This application is also developed for two hardware, namely Desktop and Mobile versions. Where the Desktop version is used as an admin to check salesmen at ESRI, and the Mobile version is developed to be used by salesmen. In developing this application we use the help of the JAVAScript API and Larave.

Keywords: GIS, salesman, JAVAScript API, Larave

Share Link | Plain Format | Corresponding Author (Samsul Arifin)


113 Computer Science ABS-22

Integration smart seal with killowatthour meter
Irawati Dewi syahwir, Rikky Khurniawan, Suprijanto

Akademi Metrologi dan Instrumentasi
Institute Technologi Bandung


Abstract

Security in the digital era has become a major need and is very important, not limited to personal security, but also security for a product or item of public interest. One of the security that must be applied is the measuring device and its equipment, namely the kWh meter, it must be ensured that the correctness of the measurement results must also be guaranteed so that it is not easily changed so that it affects the correctness of the measurement results. currently one of the security applied to digital kWh meters is for tamper protection. However, this still requires synergy between electricity providers and Metrology in developing a centralized system.
So that a system is designed that can integrate the kWh meter and smart seal with the concept of two-way communication between two devices and the data can be acquired when a change in the condition of the seal is damaged or broken, the kWh meter can disconnect the load current. The integration utilizes the Internet of Things concept via the internet and is recorded into a database, can be displayed through a web application that can be accessed online with the ability to distinguish access levels to monitor UTTP in the field.

Keywords: metrologi, smart segel, meter kWh, Internet of Things

Share Link | Plain Format | Corresponding Author (Irawati Dewi Syahwir)


114 Computer Science ABS-29

EARLY WARNING SYSTEM FOR FIRE CATCHER IN RAIN FOREST OF SUMATERA
Diena Noviarini, Mutia Delina

State University of Jakarta


Abstract

This proposal meant to clear agricultural land in large tropical forests, it is usually very difficult to control because it requires no small amount of money for farmers. The burning method of tropical forest land is a cheap way for farmers to start farming and saves energy. Unfortunately, this method can increase the impact on health and environmental damage. There are several researches on burning forest land for agriculture but there are still many weaknesses and shortcomings in the application of the applied method. Therefore, a model was designed to detect and reduce the weaknesses and shortcomings of each method applied in optimizing the detection and reduction of error rates in forest burning that can cause forest fires using the 4.0 technology method.
In designing of the Early Warning System Model for Fire Catcher in the Rain forest of Sumatra, the methods used are literature study, analysis method with thermal information system (hotspots) and Satellite Platform Visual.
The analytical method in the form of action research is intended to examine the problems faced by the Forestry Service of the Province of Sumatra and the tropical forests of Sumatra. Forestry Service Unit in Sumatra Province as a sample. The design method is used to design a new application system based on data taken from interviews with the forestry service in the form of Intellectual Property Rights that can provide solutions to problem identification.
In designing the Early Warning System Model for Fire Catcher in the Rain forest of Sumatra, the methods used are literature study, analysis method with thermal information system and Satellite Platform Visual. The design of the Intellectual Property Rights Model uses Multi Platform programming.
The result to be achieved is the success of the early warning system model to detect forest fires and also the widespread publication in Indonesia

Keywords: Early warning system, Intellectual Property Rights, multi-platform, Satellite Platform

Share Link | Plain Format | Corresponding Author (Diena Noviarini)


115 Computer Science ABS-31

Development of E-Tracer Study at Faculty of Mathematic and Natural Science, State University of Jakarta, Indonesia
Ellis Salsabila, Fariani Hermin, Agus Agung Permana

Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Jakarta


Abstract

Alumni or college graduates have an important role for their respective universities to establish cooperation with various agencies. Therefore, the role of alumni can be optimized if the university has alumni data on an ongoing basis. Alumni data tracing is referred to as a Tracer Study conducted in Faculty of Mathematic and Natural Sciences, State University of Jakarta, Indonesia, which provides information on alumni data. Data collection has been carried out using the online form method, namely Microsoft Form, but in reality, it is less effective because the data cannot be updated, and data management cannot be managed properly. This research is an innovation in the search and management of alumni data in the form of a Tracer Study information system, which the system development model uses the Spiral Model since it is flexible to possible changes throughout the software development life cycle, so it can accommodate any needed alterations.

Keywords: Tracer study- Spiral model- System development life cycle

Share Link | Plain Format | Corresponding Author (Agus Agung Permana)


116 Computer Science ABS-67

Architecture of Assistive Fish Farming Application to Boost the Harvest in the Intensive Culture System
Muhammad Eka Suryana, Med Irzal, Andri Rahmanto, Muhammad Aziz Nurhikmah

Universitas Negeri Jakarta


Abstract

There are two intensive fish culture system which maximizing the possible amount of the fish nurtured in a fixed pond size. These are Recirculating Aquaculture System and Biofloc Technology. The first incur larger investment than the latter, but not requiring the farmer to understand the how to. While the later needs a highly technical skills & knowledge to implement. Therefore, Biofloc Technologies more prone to failure if not sufficiently prepared. For this reason, a system which assists in rising the possible living rate of fishes is presented, particularly the back-end system. The system is developed with Flask Framework in conjunction with MongoDB. We stressed that the architecture is sufficient to be paired with any Front-End Platform of choice.

Keywords: Biofloc Technology, Information System, Fish Culture.

Share Link | Plain Format | Corresponding Author (Muhammad Eka Suryana)


117 Computer Science ABS-68

Preprocessing in noisy data of array sensor to enhance pattern recognition and classification problem
Wahyu Hidayat, Agus Suroso

Theoretical High Energy Physics Division, FMIPA
ITB


Abstract

We will present the pre-processing of experimental data generated by a series of gas sensors, a device known as an electronic nose. We propose the use of a combination of statistical methods and artificial neural networks (ANN) to recognize data containing noise. As a result, we will get the optimal number of sensor arrays that can be used and also function properly. In addition, data pre-processing prove the increasing quality of data for classification and pattern recognition purposes.

Keywords: Noisy Data, Governing Equations, Array Sensor, ANN

Share Link | Plain Format | Corresponding Author (Wahyu Hidayat)


118 Computer Science ABS-104

A Systematic Literature Review to Evaluate the Impact of Machine Learning and Artificial Intelligence for Lung Cancer Patient in COVID-19 Pandemic
Selly Anastassia Amellia Kharis (a*), Fauzan Ihza Fajar (a), Arman Haqqi Anna Zili (b)

a) Department of Mathematics, Faculty of Science and Technology, Universitas Terbuka, South Tangerang, Banten 15418, Indonesia
*selly[at]ecampus.ut.ac.id
b) Department of Mathematics, Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Indonesia, Depok 16424, Indonesia


Abstract

The COVID-19 pandemic caused by the SARS-CoV-2 virus has affected and increased the risk of individuals with chronic (comorbid) diseases including cancer. Cancer patients are considered susceptible to COVID-19 associated with the presence of an immunosuppressive state. Even though without the COVID-19 pandemic, cancer has become one of the main causes of human death in the world. With COVID-19, cancer deaths are increasing. One type of cancer that causes many deaths is lung cancer. There are many challenges and difficulties, especially in treating lung cancer during the COVID-19 period, especially for individuals who need rapid detection of lung cancer predictions. As technology develops, experts are trying to use machine learning and artificial intelligence in the treatment and detection of lung cancer. The use of machine learning and artificial intelligence can predict lung cancer either by using data in the form of microarrays, images, and so on. Limited data on COVID-19 patients with a relatively small sample, information regarding the implementation of machine learning and artificial intelligence for the treatment of COVID-19 patients with lung cancer is still limited. Therefore, it is necessary to have a systematic literature review to explain the effect of machine learning and artificial intelligence for lung cancer patients during the COVID-19 period from existing studies. This study uses a systematic literature review sourced from the search results of journals from various countries related to lung cancer and COVID-19 in Pubmed, Science Direct, Springerlink, and Google Scholar. The results show a important role of machine learning and artificial intelligence in the detection of COVID-19 in lung cancer patients.

Keywords: Lung Cancer- Machine Learning- Artificial Intelligent

Share Link | Plain Format | Corresponding Author (Selly Anastassia Amellia Kharis)


119 Computer Science ABS-106

Health Communication Information System Model During The 2019-2022 Pandemic
K. Y. S. Putri (a*), Wiratri Anindhita (b), Nada Arina Romli (c), Diva Rheva Deianeira (d), Hana Hanifah (e), Muhammad Aditia (f)

(a) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
*kinkinsubarsa[at]unj.ac.id
(b) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(c) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(d) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(e) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta
(f) Communication Department, Faculty of Social Science, Universitas Negeri Jakarta


Abstract

The pandemic has made everyone creative in maintaining human life. Including health information problems in handling and treatment during and after Covid-19. The model of the information system in health reporting during the pandemic in Indonesia is very dominant. The research question is whether there is an effect of the health communication information system on the attitude of the health community during the pandemic in Indonesia. The purpose of the study was to determine the model of a health communication information system on the attitude of the health community during a pandemic in Indonesia. Previous research supports our research. The concept used is a health communication information system and public attitudes. The method used is quantitative by distributing questionnaires with respondents face to face. The results of the validity and reliability test of research measuring instruments are valid and reliable. The results of descriptive research have positive values for all dimensions of information systems and public attitudes. The results of the biviariat research show that there is a strong influence of the health communication information system model on the attitude of the health community during the pandemic in Indonesia. The strong influence of the health communication information system on peoples attitudes during the pandemic in Indonesia in 2019-2022 states that alternative hypotheses are accepted in testing alternative research. The null hypothesis was rejected in this study because the alternative hypothesis was accepted in this study. The research suggestion is that information systems in other health schools can be useful during pandemic.

Keywords: Information System, Health Communication, Public Attitude

Share Link | Plain Format | Corresponding Author (Kinkin Yuliaty Subarsa Putri)


120 Computer Science ABS-132

Forecasting Rainfall in Surabaya Using the Singular Spectrum Analysis Method
Soehardjoepri, Ulil Azmi, Ika Safitri, Ivan

Departement of Actuarial Science, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia


Abstract

Singular Spectrum Analysis (SSA) is a time series analysis method that uses a non-parametric approach. This study aims to determine the model and predict rainfall in the city of Surabaya. The SSA process begins with decomposition consisting of embedding and singular value decomposition. Then a reconstruction process is carried out, which consists of eigentriple grouping and diagonal averaging. The determination of eigentriple grouping is based on changes in the value of the eigenvectors, which do not start much different between each eigenvector. This study will compare various window length (L) values. The best model obtained is with L = 72, MAD value is 151.9903, MSE is 32340.72, and sMAPE is 0.2679602. These results indicate that the best model will be obtained when using a maximum L, which is half of the total data or as much as 72. The results of rainfall forecasting using SSA cannot be used in the long term.

Keywords: Forecasting, Rainfall, Singular Spectrum Analysis, Window Length

Share Link | Plain Format | Corresponding Author (Ivan Ivan)


Page 4 (data 91 to 120 of 199) | Displayed ini 30 data/page
<< PREV 1 2 3 4 5 6 7 NEXT >>

SMIC 2022 - Conference Management System

Powered By Konfrenzi Ultimate 1.832M-Build2 © 2007-2026 All Rights Reserved