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All Journal International Journal of Evaluation and Research in Education (IJERE) Matematika dan Sains Tadris: Jurnal keguruan dan Ilmu Tarbiyah Indonesian Journal of Educational Review (IJER) Jurnal Tadris Kimiya Orbital: Jurnal Pendidikan Kimia JKPK (Jurnal Kimia dan Pendidikan Kimia) Jurnal Riset Pendidikan Kimia (JRPK) Jurnal Lentera Pendidikan Pusat Penelitian LPPM UM Metro Jurnal Riset Sains dan Kimia Terapan ABSYARA: Jurnal Pengabdian Pada Masyarakat International Journal of Social and Management Studies (IJOSMAS) International Journal of STEM Education for Sustainability Chemistry and Materials Prosiding Seminar Nasional Pengabdian Kepada Masyarakat LAVOISIER: Chemistry Education Journal Mitra Teras: Jurnal Terapan Pengabdian Masyarakat Journal of Educational Management and Learning LAVOISIER: Chemistry Education Journal Proceeding of the International Conference on Global Education and Learning

Maria Paristiowati

Universitas Negeri Jakarta

Author-ID : 3182586

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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The Effects of Aniline Concentration and Deposition Time on Polyaniline Conductance as Substrate in Fe/Ni Electrodeposition Sutrisno, Mega; Paristiowati, Maria; Nailah Fauziyyah
Chemistry and Materials Vol. 1 No. 1 (2022)
Publisher : Pusat Inovasi Sains

The research aims to determine the influence of aniline concentration and deposition time on the characteristics of polyaniline prepared using potentiostatic and galvanostatic electrodeposition methods. FTIR characterization data shows the typical peak of polyaniline in the form of the presence of a quinoid functional group at a wavenumber of 1596.16 cm-1. The typical diffraction pattern of polyaniline using XRD was detected at peaks of 2θ 21.1007o and 23.5995o. Polyaniline formed using SEM has a surface morphology that grows in a stacked and irregular manner and has a high conductance value so that it can be used as a substrate in Fe/Ni electrodeposition. The results of the Fe/Ni electrodeposition process when viewed using SEM cause the polyaniline surface morphology to be covered by a Fe/Ni alloy by having an elemental composition from the EDS test data, are iron (Fe) 68.15% and nickel (Ni) 24.83%. Fe/Ni levels from AAS data attached to PANI(pot)-Fe/Ni are 1.1912 ppm and 0.8288 ppm; in PANI(gal)-Fe/Ni are 1.2219 ppm and 0.8392 ppm.

Synthesis and Characterization of High Conductivity Polyaniline Prepared at Room Temperature Budi, Setia; Puspa Rini, Eka; Paristiowati, Maria; Imaduddin, Agung; Syafei, Devi
Chemistry and Materials Vol. 1 No. 1 (2022)
Publisher : Pusat Inovasi Sains

In this study, polyaniline was successfully synthesized using an oxidative polymerization method at room temperature. The polymerizations were carried out with and without stirring process under ultraviolet (UV) irradiation. The polyaniline was characterized by FTIR, XRD, SEM, SAA, and Four Point Probe. It is found that UV irradiation and stirring could increase the surface area and conductivity of polyaniline. The surface area obtained for stirred and unstirred polymerization were 37.9 m2/g and 29.0 m2/g, respectively. Moreover, conductivity values for stirred and unstirred polymerization were found as 1.22 S/cm and 1.08 S/cm respectively. This result shows that polyaniline synthesized by stirring treatment obtained uniform morphology, smaller size, greater crystallinity, higher BET surface area, and higher conductivity than that that of without stirring.

Optimizing University Admissions: A Machine Learning Perspective Maulana, Aga; Noviandy, Teuku Rizky; Sasmita, Novi Reandy; Paristiowati, Maria; Suhendra, Rivansyah; Yandri, Erkata; Satrio, Justinus; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 1 No. 1 (2023): August 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i1.46

The university admission process plays a pivotal role in shaping the future of aspiring students. However, traditional methods of admission decisions often fall short in capturing the holistic capabilities of individuals and may introduce bias. This study aims to improve the admission process by developing and evaluating machine learning approach to predict the likelihood of university admission. Using a dataset of previous applicants' information, advanced algorithms such as K-Nearest Neighbors, Random Forest, Support Vector Regression, and XGBoost are employed. These algorithms are applied, and their performance is compared to determine the best model to predict university admission. Among the models evaluated, the Random Forest algorithm emerged as the most reliable and effective in predicting admission outcomes. Through comprehensive analysis and evaluation, the Random Forest model demonstrated its superior performance, consistency, and dependability. The results show the importance of variables such as academic performance and provide insights into the accuracy and reliability of the model. This research has the potential to empower aspiring applicants and bring positive changes to the university admission process.

Augmented Reality and Student Learning: Analysis of Mental Models of Salt Hydrolysis at SMAN 51 Jakarta, Indonesia Umayah, Anisa; Paristiowati, Maria; Dianhar, Hanhan; Hasibuan, Nur Azizah Putri
Journal of Educational Management and Learning Vol. 1 No. 1 (2023): August 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i1.53

This study aimed to ascertain students' mental models while learning about salt hydrolysis through augmented reality (AR). The study comprised 36 participants from Public High School 51 in Jakarta. A descriptive qualitative approach was adopted for this research, employing various data collection methods such as written drawings, interviews, classroom observations, teacher notes, student worksheets, and final tests. In categorizing students' mental models, three main types emerged: scientific, synthetic, and initial mental models. The findings revealed that 7.20% of students fell into the initial mental model category, 53.90% exhibited synthetic mental models, and 38.90% demonstrated scientific mental models. Notably, incorporating AR into salt hydrolysis learning predominantly influenced the development of synthetic mental models. The study's results also indicated that the utilization of AR positively enhanced students' spatial abilities in understanding submicroscopic representations.

Evaluating Learning Motivation: An Analysis of Students' Engagement in Online Learning Environments Karyadi, Prita Atria; Paristiowati, Maria
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.193

This study analyzes students' learning motivations, including concentration, curiosity, enthusiasm, independence, readiness, encouragement, consistency, and self-confidence during online learning at Pahoa High School. Using a qualitative descriptive method, the research was conducted from February to April 2022, involving 53 students from class XI. Data were collected through observations, interviews, reflective journals, and questionnaires adapted from various research journals, focusing on learning motivation. The data analysis involved stages of data reduction, coding, presentation, and conclusion. Results were categorized into three areas: (1) student learning motivation during online learning, (2) advantages of online learning, and (3) disadvantages of online learning. Questionnaire data revealed that 78% of students exhibited excellent concentration, 57% had good curiosity, 41% displayed fair enthusiasm, 92% showed excellent independence, 54% demonstrated good readiness, 93% had excellent encouragement, 78% maintained excellent consistency, and 61% had good self-confidence. Overall, 69% of students were found to have good learning motivation. These findings suggest that students generally possess strong learning motivations in an online learning environment, providing valuable insights for educators to enhance online teaching strategies and improve student learning outcomes. This study also serves as a reference for future research on learning motivation in online education.

Integration of Various Digital Media with Flipped Classroom Models in Chemistry Learning: An Analysis of Student Activities Paristiowati, Maria; Dianhar, Hanhan; Hasibuan, Nur Azizah Putri; Fitriani, Roisyah
Orbital: Jurnal Pendidikan Kimia Vol. 8 No. 1 (2024): Orbital: Jurnal Pendidikan Kimia
Publisher : Chemistry Education Department of Education and Teaching Faculty

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/ojpk.v8i1.21928

This study aims to analyze student activity in flipped learning environments and their response to chemistry learning. The variations of digital media used in this research are YouTube, Miro, Wizer.me, Quizizz, Google Form, and Google Classroom. Participants are 11th grade public high school in Depok city, West Java, Indonesia. The method used is a descriptive qualitative method with data collection techniques through observation sheets, teacher diaries, interviews, reflective journals, and student activity questionnaires. The activity questionnaire in this study used StRIP, adapted from DeMonbrun, et al. Activity indicators consist of two dimensions: student response to instruction and instruction type dimensions. Student activity data is processed using a Likert scale. The results showed that the majority of students responded positively to the second dimension. The results showed that students' responses to instructions and types of instructions developed well during the learning process. This is consistent with the results of the student questionnaire data, which shows a percentage of >70% in each dimension. The affective domain shows that some students have a good attitude of responsibility and discipline. They actively express their opinions and work together in groups. In the psychomotor domain, the students show that they are careful in carrying out and compiling the practicum reports. This study concludes that the flipped classroom learning model using various digital learning media can help develop students' activities in chemistry learning.

Embrace, Don’t Avoid: Reimagining Higher Education with Generative Artificial Intelligence Noviandy, Teuku Rizky; Maulana, Aga; Idroes, Ghazi Mauer; Zahriah, Zahriah; Paristiowati, Maria; Emran, Talha Bin; Ilyas, Mukhlisuddin; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 2 (2024): November 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i2.233

This paper explores the potential of generative artificial intelligence (AI) to transform higher education. Generative AI is a technology that can create new content, like text, images, and code, by learning patterns from existing data. As generative AI tools become more popular, there is growing interest in how AI can improve teaching, learning, and research. Higher education faces many challenges, such as meeting diverse learning needs and preparing students for fast-changing careers. Generative AI offers solutions by personalizing learning experiences, making education more engaging, and supporting skill development through adaptive content. It can also help researchers by automating tasks like data analysis and hypothesis generation, making research faster and more efficient. Moreover, generative AI can streamline administrative tasks, improving efficiency across institutions. However, using AI also raises concerns about privacy, bias, academic integrity, and equal access. To address these issues, institutions must establish clear ethical guidelines, ensure data security, and promote fairness in AI use. Training for faculty and AI literacy for students are essential to maximize benefits while minimizing risks. The paper suggests a strategic framework for integrating AI in higher education, focusing on infrastructure, ethical practices, and continuous learning. By adopting AI responsibly, higher education can become more inclusive, engaging, and practical, preparing students for the demands of a technology-driven world.

PIROLISIS SEDERHANA LIMBAH PLASTIK DAN IMPLEMENTASINYA SEBAGAI SUMBER BELAJAR BERBASIS EDUCATION FOR SUSTAINABLE DEVELOPMENT (ESD) PADA PEMBELAJARAN KIMIA Amyyana, Afwu Hayyi; Paristiowati, Maria; Kurniadewi, Fera
Jurnal Riset Pendidikan Kimia (JRPK) Vol. 7 No. 1 (2017): Jurnal Riset Pendidikan Kimia (JRPK), Volume 7 Nomor 1 (2017)
Publisher : LPPM Universitas Negeri Jakarta

This study aims to produce a plastic pyrolysis learning resource in the form of books based on Education for Sustainable Development. The development of ESD-based learning resources is done by Borg & Gall (2006) research and development method which is then adjusted into three stages: needs analysis, development stage, and pilot phase. Learning resources produced by reading books on plastic waste issues and handling through a chemical approach, presented with a magazine display, using communicative language, and adapted to chemistry teaching materials class XI SMA of curriculum 2013. Percentage of test results feasibility by material and Language experts is 89.63%, while the results of feasibility tests by media experts amounted to 92.23%, with each reliability of 0.8 and 0.77. The results of ESD-based learning by small-scaled learners are 85% and large scale is 91.44%. Interpretation of assessments of learning resources by experts and learners as a whole has very good criteria for each assessment indicator. Therefore, it can be concluded that the ESD-based learning source developed has been feasible to be used as a reading book to support chemistry learning. Keywords: Plastic Waste, Plastic Pyrolysis, Education for Sustainable Development.

Analisis Miskonsepsi pada Materi Larutan Penyangga Menggunakan Two-Tier Diagnostic Test Stephanie, Mian Maria; Fitriyani, Dewi; Paristiowati, Maria; Moersilah, Moersilah; Yusmaniar, Yusmaniar; Rahmawati, Yuli
Jurnal Riset Pendidikan Kimia (JRPK) Vol. 9 No. 2 (2019): Jurnal Riset Pendidikan Kimia (JRPK), Volume 9 Nomor 2 (2019)
Publisher : LPPM Universitas Negeri Jakarta

This study aims to find out the misconceptions that occur in buffer solution materials using two-tier diagnostic tests instrument. The instrument was developed based on the buffer solution material competency indicators into 10 questions and was declared valid for use. The research was conducted on level I and III college students and students totaling 159. The results showed that there was a misconception on the concept of buffer solution properties of 24.6%, the concept of buffer solution composition was 24.1%, the working principle of buffer solution was 29.3 %, and the concept of pH solution is 25.4%. he cause of the misconception is because the initial concept of the respondent is weak, the teacher's explanation often simplifies the concept, the habit of the respondent to memorize, understanding the language and weak mathematical concepts, and learning models that have not provided the opportunity for respondents to understand the components and principles of working buffer solutions microscopically. Knowledge of misconceptions is needed as an evaluation of teachers and lecturers to be more motivated to implement learning models that are able to overcome misconceptions to prevent wider misconceptions in learning chemistry that make chemistry difficult. Keywords Misconception, Two-Tier Diagnostic Test, Buffer Solution

THE EFFECT OF LEARNING MODEL CONCEPTUAL CHANGE BASED INSTRUCTION (CCBI) AND GENERATIVE LEARNING MODEL (GLM) AND CRITICAL THINKING SKILLS TO THE LEARNING OUTCOMES OF ACID-BASE Setiawan, Wiwik; Nuryadin, Suwirman; Paristiowati, Maria
JURNAL LENTERA [PENDIDIKAN PUSAT PENELITIAN LPPM UM METRO] Vol 1, No 1 (2016): Jurnal Lentera Pendidikan Pusat Penelitian LPPM UM Metro
Publisher : LPPM UM Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jlplppm.v1i1.89

The purpose of this study was to determine effect of learning model Conceptual Change Based Instruction (CCBI) and Generative Learning Model (GLM) and critical thinking skills to the learning outcomes of acid-base.The research was conducted in SMA Bakti Mulya 400 lesson year 2015-2016. In this study were randomly selected sample (cluster random sampling). Data of learning outcomes and critical thinking skills are collected in the form of multiple-choice written test type. Data were analyzed using descriptive statistics and two ways ANOVA. Based on research, it was found. First there is a difference in student learning outcomes significantly between models CCBI with GLM model (F = 4.288, p <0.05), the second there is a difference in student learning outcomes significantly in the group of students with high critical thinking skills among models CCBI with GLM model (F = 4.34, p<0.05), the third there was no difference in student learning outcomes significantly in the group of students who have the ability to think critically low between models CCBI with GLM model (F = 0.194, p<0.05), and the fourth there are significant interaction between the learning model with the ability to think critically (F = 5.122, p<0.05).

Co-Authors - Afrizal Afrizal Afrizal Afrizal Afrizal Aftuni Aftuni Agung Imaduddin, Agung Ahmad Syakur Al Husna Alysa Hestaviana Amyyana, Afwu Hayyi Andini Lestari Syah Putri Anisa Umayah Annisa Nur Fitria Arinda Putri Nurhaliza Auliya, Annisa BUDI SETIADI DARYONO Catur Ahda Darojatun Cecep Kustandi Chaeruman, Uwes Anis Cyntia Melawati Darsef Darwis Deby Virgiawan Deswara, Raka Dewi Fitriyani Diska Ariani Silalahi Edith Allanas Emran, Talha Bin Erdawati Erdawati Erdawati Erdawati, Erdawati Fahmi Anhar Muladi Fajriah, Sari Nur Fitriani, Roisyah Ghazi Mauer Idroes Ghina Imani Rofi Hanhan Dianhar Hasibuan, Nur Azizah Putri Icha Ananda Nainggolan Ilmiyati, Dian Irma Ratna K Irwanto Irwanto Isa, Illyas Md Istianah Istianah Jumila Jumila Karyadi, Prita Atria Kurniadewi, Fera Maulana, Aga Miska Zidna Ilmana Moersilah, Moersilah Mohammad Asrul Ashmi Karepesina Muhamad Fazar Nurhadi MUHAMMAD ILHAM Mukhlisuddin Ilyas Muktiningsih Nurjayadi N, Muktiningsih Nailah Fauziyyah Nanda, Elsa Vera Nathasya Jofita Neli Nilawati Noviantika Nurul Nabillah Nur Azizah Putri Hasibuan Nurbaity Nurbaity Nurhaliza, Arinda Putri Prabowo, Norbertus Krisnu Prita Atria Karyadi Puspa Rini, Eka Puteri, Hana Alya Putri Hasibuan, Nur Azizah Putri, Andini Lestari Syah Rahma, Wanda Amelia Rahma, Wanda Amelia Ratna Choiryana Rinaldi Idroes Risky, Elsyafahriza Sadam, Padya Adisty Putri Sasmita, Novi Reandy Satrio, Justinus Setia Budi Setia Budi Setiawan, Wiwik Stephanie, Mian Maria Suhartono Suhartono Suhendra, Rivansyah Sulistyowati Nur Astuti Sutrisno, Mega Suwirman Nuryadin SUWIRMAN NURYADIN, SUWIRMAN Syafei, Devi Syifa Nur Muttaqin Teuku Rizky Noviandy Tri Retnosari Triyana Wahyu Setyorini Ucu Cahyana Umayah, Anisa Uwes Anies Chaeruman Virgiawan, Deby Wiwik Setiawan Yandri, Erkata Yuli Rahmawati Yusmaniar Yusmaniar Yusmaniar Yusmaniar Zahriah, Zahriah Zulhipri Zulhipri Zulhipri, Zulhipri Zulmanelis Zulmanelis

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