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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri IKRA-ITH Informatika : Jurnal Komputer dan Informatika JMM (Jurnal Masyarakat Mandiri) Jurnal Teknologi Informasi MURA Jurnal Riset Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Teknologi Informasi dan Komunikasi Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Teknologi Informasi Mura Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Profesi Pendidikan Dasar Indonesian Journal of Sustainability
Jupriyanto .
Universitas Mandiri
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Abstract

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.
SISTEM INFORMASI GEOGRAFIS PARIWISATA BERBASIS WEB MENGGUNAKAN REACT JS DI KABUPATEN SUBANG Ahmad, Hermansyah Nur; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2917

Abstract

Subang Regency, West Java has significant natural and cultural tourism potential; however, tourism location information is not yet optimally integrated. Scattered information makes it difficult for tourists to obtain accurate location data, descriptions, and access to tourist destinations. This study aims to develop a web-based Geographic Information System (GIS) for tourism using React JS with a full-stack architecture. The system development applies the Agile method, enabling iterative and adaptive development based on user requirements. The system utilizes interactive digital maps based on Leaflet, search and category filtering features, multiple map display modes, and a review and rating feature without user login. The results show that the system provides accurate tourism location information, is easy to access, and offers real-time visit statistics. This system is expected to support regional tourism promotion and assist tourism management in data-driven decision-making.
Pemberdayaan Tentor Lembaga Bimbingan Belajar Tanjungharjo Grobogan melalui Pengembangan Learning Object Material Berbasis Artifial Intelligence Basir, Mochamad Abdul; Jupriyanto, Jupriyanto; Riansyah, Andi; Aminudin, Mohamad
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.417

Abstract

Modern technology has created significant opportunities for enhancing personalization in learning, particularly through the utilization of data analytics and artificial intelligence, which enable the customization of learning products based on students’ needs, levels of understanding, and learning styles. This condition requires educators and tutoring instructors to possess adequate digital skills in order to produce instructional materials that are relevant, adaptive, and easily accessible. Responding to this need, this community service program was designed to provide training and assistance in developing digital-based learning products for tutors at the AURORA Tutoring Institute in Grobogan Regency, Central Java. The program was implemented through four stages: socialization, training, mentoring, and monitoring and evaluation. The training consisted of two main sessions: (1) multimedia production through the development of PowerPoint materials assisted by artificial intelligence and the recording of instructional content, and (2) training in managing a Learning Management System using Google Classroom. A total of 10 tutors participated in the entire series of activities. The evaluation results indicate an improvement in participants’ digital competencies, evidenced by all tutors (100%) being able to produce learning multimedia that is more engaging, interactive, flexible, and ready for use in tutoring sessions. This program demonstrates that structured training interventions can effectively enhance the quality of learning digitalization within tutoring institutions.
Inquiry Exploration in Science Literacy: Learning Innovation in School of Life Lebah Putih Nugraheni, Setyo Wuri Kartika; Wijayanti, Adek Candra Nur; Kuswanto, Sabar; Jupriyanto, Jupriyanto
INDONESIAN JOURNAL OF SUSTAINABILITY Vol 5, No 1 (2026): January
Publisher : Library of Sultan Agung Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ijsunissula.5.1.9-21

Abstract

Scientific literacy is an essential competency for students; however, science learning in primary schools is often dominated by teacher-centered methods that limit student engagement and conceptual understanding. This study aims to describe the implementation of an inquiry-based approach in strengthening Disciplinary Core Ideas, mapping Science and Engineering Practices skills, and analyzing the relationship between scientific concepts and Crosscutting Concepts at School of Life Lebah Putih. This research employed a qualitative case study design involving semi-structured interviews with the principal, teachers, and students. The findings indicate that the inquiry-based approach enhances students’ active participation, conceptual understanding, and the relevance of science learning to everyday life, although its implementation is constrained by teachers’ reliance on lecture-based instruction. It can be concluded that inquiry-based learning has strong potential to improve scientific literacy in primary education; therefore, the development of locally contextualized learning modules is recommended to support more effective and sustainable implementation aligned with NGSS standards.Keywords: Science Literacy; Inquiry Approach; Basic Education
Co-Authors Achmad Fauzi Ahmad, Hermansyah Nur Amelia, Winda Anderias Eko Wijaya Andri Agung Riyadi Apandi, Jamaludin Azhari, Lukman Basir, Mochamad Abdul Budilaksono, Sularso Enfesta, Lolita Fachri Amsury Fatmawati, Sima Fredriksz, Grace Haq, Haris Nizhomul Hernawati Irwansyah Saputra Khosa, Martha Kodar Udoyono, Kodar Kusuma, Muhammad Romadhona Kuswanto, Sabar Luturmas, Join Rachel Mahpud, Mahpud Matuankotta, Febiola Maulana, Lutfi Mohamad Aminudin Muhamad Afandi, Muhamad Novita Mariana Nugraha, Luthfy Akmal Nugraheni, Setyo Wuri Kartika Nunumete, Laura S Pattiasina, Tiska Permana, Eka Putri, Cerafine Delna Rian Hermawan Riansyah, Andi Salhuteru, Andrie CH Siallagan, Timbo Faritcan Parlaungan siti nurlela Suwarno, M.Anno Suwartane, I Gede Agus Tiska Pattiasina Wijayanti, Adek Candra Nur Yulina Ismiyanti, Yulina Yunita Sari Yustiana, Sari