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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) JCES (Journal of Character Education Society) Journal on Education Jurnal Ilmiah Pendidikan Citra Bakti Jurnal Edukasi Sumba (JES) Jurnal Scientia Jurnal Simki Pedagogia ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat INDRA: Jurnal Pengabdian kepada Masyarakat Edu Cendikia: Jurnal Ilmiah Kependidikan Indo-MathEdu Intellectuals Journal Jurnal Kolaboratif Sains J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Elektriese: Jurnal Sains dan Teknologi Elektro MASALIQ: Jurnal Pendidikan dan Sains Jurnal Pemberdayaan Masyarakat Jurnal Ilmiah Pengabdian dan Inovasi Experimental Student Experiences Jurnal Pengabdian Ibnu Sina International Journal of Educational Narratives Jurnal Pengabdian Sosial JPMI Jurnal Pengabdian kepada Masyarakat IPTEKS Varied Knowledge Journal Jurnal Ekonomi, Manajemen, Akuntansi Varied Knowledge Journal Jurnal Pengabdian Pada Masyarakat IPTEKS EMPOWERMENT: Journal of Community Practice Jurnal Ilmiah Pendidikan Citra Bakti
Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi
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Dampak Artificial Intelligence dalam Pembelajaran Sekolah Menengah Atas Setiawi, Agustina Purnami; Patty, Elyakim Nova Supriyedi; Making, Samuel Rex Mulyadi
Indo-MathEdu Intellectuals Journal Vol. 5 No. 1 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i1.826

Abstract

Artificial Intelligence (AI) helps improve efficiency, personalized learning, effective feedback, teaching effectiveness, as well as prepare students for a world increasingly dominated by technology. In today's digital era, the field of education has witnessed a significant transformation through the integration of Artificial Intelligence (AI). The purpose of this research is to determine the impact of AI in high school learning. The research approach that the compiler uses is a qualitative method with a type of literature study. Data is collected through various relevant article sources. Data analysis is carried out through the stages of data reduction, data presentation, and conclusion drawing. The result of this study is that the use of artificial intelligence (AI) has a significant impact on technological development in high school students and the education system, the application of new technology and new programs certainly has positive and negative impacts depending on how the user is. So it can be concluded that AI in high school learning if used properly and correctly will have a positive impact and avoid negative impacts
Analisis Pemanfaatan Artificial Intelligence Menggunakan Platform Chat-GPT dalam Mendukung Proses Pembelajaran Mahasiswa Universitas Bumigora Mutiah, Mutiah; Nova Supriyedi Patty, Elyakim; Astuti Iriani, Sri
Indo-MathEdu Intellectuals Journal Vol. 5 No. 4 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i4.1397

Abstract

Artificial Intelligence is a system designed using technology that can make a computer system that can imitate human intellectual abilities. Chat-GPT (Generative Pre-trained Transformer) is a platform from Artificial Intelligence where it works using a conversational format. Simply put, it's like we ask a lecturer in class, but in Chat-GPT we ask an application that has been programmed to imitate human intellectual abilities so that it is able to provide answers in a short time. This study will use a quantitative approach with a descriptive method. The data of the research results was obtained through a survey by distributing questionnaires to Bumigora University students at random. Data from the study showed that most students (72%) used Chat-GPT to obtain information related to learning. By using Chat-GPT, 38.11% of students felt helped in learning and obtaining information related to learning. Chat-GPT in addition to having many benefits, also has a negative impact so there needs to be supervision for students in using this Chat-GPT platform so that academic ethical and moral values are maintained and upheld so that what students do brings benefits.
PENGUJIAN KUALITAS BUTIR TES PEMECAHAN MASALAH MAHASISWA BERBASIS PEMODELAN RASCH Iriyani, Sri Astuti; Patty, Elyakim Nova Supriyedi; Laila, Vera Latifah
Jurnal Ilmiah Pendidikan Citra Bakti Vol. 12 No. 3 (2025): Jurnal Ilmiah Pendidikan Citra Bakti
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jipcb.v12i3.5469

Abstract

Penelitian ini bertujuan untuk menganalisis kualitas butir tes pemecahan masalah mahasiswa menggunakan pemodelan Rasch. Instrumen terdiri dari 15 butir soal pilihan ganda yang dikembangkan berdasarkan kategori Higher Order Thinking Skills untuk mengukur kemampuan berpikir tingkat tinggi secara komprehensif. Sampel penelitian berjumlah 34 mahasiswa yang dipilih melalui teknik purposive sampling. Data dianalisis secara kuantitatif deskriptif untuk mengevaluasi validitas, reliabilitas, dan kesesuaian butir soal terhadap parameter model Rasch. Hasil menunjukkan nilai validitas sebesar 0,788, menandakan bahwa tes memiliki kualitas baik dalam mengukur konstruk yang dituju. Reliabilitas instrumen sebesar 0,886 tergolong sangat tinggi, mencerminkan konsistensi dan keandalan pengukuran. Pemetaan butir soal melalui item map menunjukkan distribusi tingkat kesulitan yang merata dan representatif terhadap kemampuan mahasiswa. Seluruh butir soal memenuhi kriteria kelayakan berdasarkan nilai infit dan outfit dalam rentang yang diterima. Dengan demikian, instrumen ini layak digunakan sebagai alat ukur objektif untuk menilai kemampuan pemecahan masalah mahasiswa.
Bibliometric Insights into Computational Thinking and Green Computing Awareness: Emerging Trends Toward Sustainable Digital Pedagogy (2015–2024) Ria, Reny Refitaningsih Peby; Yuda, Lalu Setia; Patty, Elyakim Nova Supriyedi
Jurnal Kolaboratif Sains Vol. 8 No. 11: November 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i11.9055

Abstract

The digital transformation in higher education requires the integration of computational literacy and environmental awareness to achieve sustainable learning practices. This study aims to map the interrelation between Computational Thinking (CT), Green Computing Awareness (GCA), and the use of statistical analysis software within the framework of Sustainable Digital Pedagogy. The research employed a descriptive bibliometric approach. The dataset consisted of 60 documents refined from the Scopus database covering the 2015–2024 period. Data were analyzed using the analyze results feature on the Scopus website and the VOSviewer software to identify publication trends, thematic networks, and the global evolution of related studies. The findings reveal that CT occupies the most central position in the research landscape, while GCA forms an independent cluster emphasizing energy efficiency and technological sustainability. The use of statistical analysis software serves as a conceptual bridge between the two domains. These findings highlight the need for an integrative approach that combines cognitive, ecological, and analytical dimensions in higher education. This study provides conceptual insights and strategic implications for developing curricula and green digital campus policies oriented toward sustainability.
The Impact of Teacher Experience and Motivation on the Performance of Elementary School Teachers in Wawo District, Bima, NTB Patty, Elyakim Nova Supriyedi; Iriyani, Sri Astuti; Hadi, Heri Sopian; Marlina, Marlina; Ria, Reny Refitaningsih Peby
Jurnal Simki Pedagogia Vol 7 No 1 (2024): Volume 7 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v7i1.275

Abstract

This research aims to explain the following: (1) The joint impact of experience and motivation on teacher performance. (2) the impact of teacher experience on teacher performance and (3) the impact of teacher motivation on teacher performance in Wawo sub-district, Bima, NTB. The sample for this research consisted of 153 certified civil servant educators from Wawo District, Bima Regency. The "random sampling" method was used to select 110 educators at random. Data collection in this study was obtained through tests and questionnaires. The reliability coefficient of teacher performance was rtt = 0.897, and the reliability coefficient of teacher motivation was rtt = 0.850, after giving the test instruments to 25 teachers outside the teacher sample took it. Teacher performance was 0.885 and principal leadership was 0.941. Descriptive quantitative analysis, multiple linear regression analysis, and partial correlation analysis were used to analyze the data in this research. The correctness of the data was checked with the help of computing software. The results of this research concluded that (1) teacher experience and teacher motivation have a positive and statistically significant effect on teacher performance. Effectively, 16.08% of teacher performance can be attributed to teacher motivation factors, followed by 11.45% of teacher experience factors; (2) the teacher experience factor has a significant positive effect on teacher performance. There is a positive correlation between teacher motivation and student achievement; (3) teacher performance increases with increasing years of experience. The more inspired a teacher is, the more effective they are in the classroom.
Analisis Bibliometrik Profesionalisme Guru: Penelitian Menggunakan Aplikasi VOSViewer Patty, Elyakim Nova Supriyedi; Iriyani, Sri Astuti; Hadi, Heri Sopian; Abdulrahim, Abdulrahim; Irhas, Irhas
Jurnal Simki Pedagogia Vol 6 No 2 (2023): Volume 6 Nomor 2 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v6i2.277

Abstract

This study aims to systematically analyze and demonstrate bibliometric data analysis using VOSViewer. This study uses a qualitative descriptive method to describe the data on teacher professionalism. So it can be concluded that teacher professionalism can be combined with other fields to be studied. This study presents an analysis of data regarding teacher professionalism and its development over sixteen years (2008–2023) by utilizing the mapping tool in VOSViewer. To describe the performance of bibliometric analysis by producing a network visualization of the selected topic using a qualitative descriptive method. From the search results, 989 relevant published journals were found, ranging from 2008–2023, which were then grouped into 16 categories according to the year of publication. The results of this research on professional teachers found that the most published articles were in 2016-2021. We can see items supporting the formation of a professional as a teacher. Therefore it is necessary to carry out activities or support to increase teacher professionalism such as conducting classroom action research (PTK), conducting coaching, participating in MGMP and other activities.
Students' Mathematical Communication Ability In View From The Numbered Heads Together (NHT) Cooperative Learning Model Using The Open Ended Approach Hadi, Heri Sopian; Faturyani, Faturyani; Marlina, Marlina; Patty, Elyakim Nova Supriyedi; Iriyani, Sri Astuti
Jurnal Simki Pedagogia Vol 6 No 2 (2023): Volume 6 Nomor 2 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v6i2.282

Abstract

Problem learning mathematics at MTs NW Karang Bata is that it still uses a conventional learning model where the teacher tells more stories and talks in informing all the facts and concepts of a lesson, the low motivation and mathematical communication of students is caused by the learning techniques used by the teacher because it does not facilitate students more active in accepting the material presented by the teacher, in this case it affects students' mathematical communication abilities, to overcome this problem the Numbered Heads Together (NHT) cooperative learning model with the Open Ended approach is used. The purpose of this study was to find out the effect of the Numbered Heads Together (NHT) cooperative learning model with an open ended approach on students' mathematical communication skills. This research is an experimental research with a post-test only control group design, which aims to determine the cooperative learning model of the Numbered Heads Together (NHT) type with the Open Ended approach to the mathematical communication skills of class VIII students at MTs NW Karang Bata with a total of 38 students. sampling using random cluster technique, with VIIIA as the experimental class and class VIIIB as the control class. The independent variable in this study is the Numbered Heads Together (NHT) cooperative learning model with the Open Ended approach and the dependent variable is students' mathematical communication skills. Data on student learning outcomes were analyzed using the Polled Variance t test. At a significant level of 5% and obtained T count > T table = t2.543 > t1.690, then accepted and rejected. From the results of the analysis it can be concluded that there is an influence of the Numbered Heads Together (NHT) type cooperative learning model with the Open Ended approach to the mathematical communication skills of class VIII students of MTs.
Analisis Bibliometrik dengan VOSViewer: Studi Artificial Intelegence dalam Pendidikan Iriyani, Sri Astuti; Hadi, Heri Sopian; Marlina, Marlina; Patty, Elyakim Nova Supriyedi; Irhas, Irhas
Jurnal Simki Pedagogia Vol 6 No 2 (2023): Volume 6 Nomor 2 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v6i2.287

Abstract

The aim of this study was to explore trends in artificial intelligence research in education over the past 20 years. The method used to explore research trends is literature review through bibliometric analysis. The results of bibliometric analysis identify the core research or authors, as well as their relationships, by covering all related publications or specific fields. Publications related to artificial intelligence in education from 2003-2023 are taken from international journals indexed by Google Scholar. Research trends of artificial intelligence in education are visualized using the Vosviewer program. The results showed that the trend of artificial intelligence research in education is vulnerable in the last 20 years, namely artificial intelligence, future trends, educational programs, databases, students and technology.
Co-Authors Abdul Muhid, Abdul Abdul Rahim Abdulrahim, Abdulrahim Agostinho Ximenes Pereira Ahmad Syamsul Fajri Ahmat Adil Alfilail, Nur Amri, Haerul Anggerain, Nining Anjelina Gheda Bara Anthony Anggrawan Antonius Gawi Lokku Aranbi, Muhammad Defa Ardiansyah ARDIANSYAH ARDIANSYAH Astuti Iriani, Sri Baiq Dinna Widiyasti Bidari Andaru Widhi Bili, Fransiskus Ghunu christofer satria Cornelia Sri Sulasmi Padaka Cornelia Sri Sulasmi Padaka Darul Ilmi Dewi, Deshinta Arrova Dyah Susilowati Elisabet Kaley Elisabeth Kaley Emerita Setyowati Endiyas Waluyo Fachry Abda El Rahman Fajri, Ahmad Syamsul Faturyani, Faturyani Febiola Kartika Wurung Febrianto Bokol Frenly Marta Ate Frenly Martha Ate Hadi, Heri Sopian Helna Wardhana Herawati, Baiq Candra Herman Supriantono Imanuel, Yohanes Irawaty Irawaty Irhas Irhas Irhas Irhas Irhas, Irhas Isnain, M Firdaus Juliana Palit Kanisius Bili Bulu Keremata Lede, Yulius Klemensia Maria Renda Laila, Vera Latifah Liefson Jacobus, Liefson Lilik Widyawati MAKIAH Maria Imakulata Bora Marlina Marlina Marlina Marlina Marlina Marselina Osa Awa Melkianus Suluh Melkianus Suluh Melkianus Suluh Memy Memy wardani Memy Wardani Elthia Miswaty, Titik Ceriyani Muhammad defa Aranbi Muhammad Tahir Muhsin, Lalu Busyairi Muti'ah, Muti'ah Mutiah Mutiah Muti’ah, Muti’ah Nining Anggeraini Pereira, Agostinho Ximenes Rahmat Sentosa Gule Rania, Salwa Reny Refitaningsih Peby Ria Ridha Nurul Hayati Rina Trisandi Rini Anggriani Rosidah Alawiyah Samidjo Samidjo Samuel Rex Mulyadi Making Samuel Rex Mulyadi Making Sauri, Sovian Sene, Mikael Serliana Muri Ate Setiawi, Agustina Purnami Sovian Sauri Sri Astuti Iriyani Suluh, Melkianus Sumadi Sumadi Sunardin, Sunardin Surjawirawan Dwiputranto Sutarman Sutrisno, Sutrisno Syafira Mahfuzi Ardiyati Syahrian, Ekal Tresia Desinta Wole Trisandi, Rina Triwijoyo, Bambang Krismono Widhi, Bidari Andaru Yohanes Imanuel Yorman Yuda, Lalu Setia Yuliana Sesi Bitu Yuliana, Ika Zahrah Zahrah, Zahrah Zainudin Abdussamad Zulfikri, Muhammad Zulkipli Zulkipli