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All Journal Irfani Jurnal Penelitian Pendidikan IPA (JPPIPA) Pendas : Jurnah Ilmiah Pendidikan Dasar PENDIPA Journal of Science Education Bunda Edu-Midwifery Journal (BEMJ) JURIKOM (Jurnal Riset Komputer) Jurnal Isema : Islamic Educational Management Pena Justisia: Media Komunikasi dan Kajian Hukum Jurnal Ilmu Sosial dan Ilmu Politik Buletin LOUPE (Laporan Umum Penelitian) Paulus Journal of Accounting (PJA) Jurnal Dinamika Ekonomi Syariah Disiplin : Majalah Civitas Akademika Sekolah Tinggi Ilmu Hukum sumpah Pemuda jurnal dikdas bantara Hydrogen: Jurnal Kependidikan Kimia Jurnal Agriment Jurnal Pengabdian kepada Masyarakat Desa (JPMD) Indonesian Journal of Educational Development (IJED) Indonesian Health Issue Jurnal Pengabdian Ahmad Yani UNESA Journal of Chemical Education Prosiding Seminar Informasi Kesehatan Nasional Unesa Journal of Chemistry Jurnal Pendidikan Sosial dan Konseling Jurnal Pengabdian Masyarakat dan Riset Pendidikan Marhalado International Journal of Post-Axial: Futuristic Teaching and Learning Jurnal Praba: Jurnal Rumpun Kesehatan Umum Justici Multidisciplinary Indonesian Center Journal Journal on Pustaka Cendekia Informatika Agrimas : Jurnal Pengabdian Masyarakat Bidang Pertanian Interdisciplinary Explorations in Research Journal (IERJ) Disiplin : Majalah Civitas Akademika Sekolah Tinggi Ilmu Hukum sumpah Pemuda
RUSMINI
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Enhancing slow learners' competency skills through e-LAPD using the UDL approach in clinical chemistry learning Novita, Dian; Amalia, Zelinda Fitri; Sari, Rahmania Fitrah; Muchlis; Rusmini; Asih, Findiyani Ernawati
Indonesian Journal of Educational Development (IJED) Vol. 6 No. 4 (2026): February 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/ijed.v6i4.5618

Abstract

The digitalization of chemistry education plays a crucial role in providing equal learning, this study is essential due to the persistent learning gaps experienced by slow learners in digital chemistry instruction. This study investigated the competency development of two slow learners at SMAN 10 Surabaya through the implementation of digital student worksheets (e-LAPD) focused on balancing chemical equations and Nomenclature of Ionic and Covalent bonds, combined with individualized strategies integrated with the UDL strategy delivered via the Liveworksheet platform. Qualitative data from semi-structured interviews and observations were analyzed using NVivo 11, comparing competencies at the start and end of the learning process. This analysis identified three key competencies: explaining scientific phenomena, interpreting data, and analyzing and evaluating scientific evidence. To supplement the qualitative results, pretest and posttest assessments were conducted, revealing significant improvements in competency. Specifically, students showed an average 40% increase in both the DA and E categories when balancing chemical equations. In contrast, for the Nomenclature of Ionic and Covalent bonds, DA scores rose by 80%, while E scores improved by 100%. The findings confirm that the use of e-LAPD with individualized learning strategies effectively promotes competency improvement among slow learners in chemistry education, guiding future instructional development.
ANALISIS KOMPETENSI SUPERVISOR PENDIDIKAN PADA LEMBAGA PENDIDIKAN ISLAM Rusmini; Fauzi, Irfan Mohd; Yusuf, M.
Irfani Vol. 22 No. 1 (2026): Irfani
Publisher : LP2M IAIN Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30603/irfani.v22i1.7461

Abstract

Educational supervisors’ competence plays a strategic role in enhancing the quality of Islamic education. This study aims to examine the conceptual framework, roles, and strategies for strengthening supervisors’ competencies within the context of Islamic education. The research employs a library research design using a qualitative content analysis approach through the stages of decontextualization and recontextualization. The analytical process involves: (1) data reduction through the selection and summarization of key points from primary and secondary sources; (2) categorization based on thematic dimensions of supervisory competence; and (3) interpretation and conceptual synthesis to construct a coherent and systematic argument. The findings reveal that supervisory competence encompasses six principal dimensions: personal competence, managerial supervision, academic supervision, educational evaluation, research and development, and social competence integrated with Islamic values. These dimensions collectively contribute to strengthening teachers’ professionalism, enhancing institutional management effectiveness, and improving the quality of value-based learning in Islamic educational institutions. The study further emphasizes that strategies for developing supervisors’ competence should be systematically designed through continuous professional development programs, enhancement of research capacity and digital literacy, mentoring and value-based coaching grounded in Islamic principles, as well as performance evaluation based on measurable quality indicators. Therefore, the development of supervisory competence should not merely be regarded as regulatory compliance, but rather as a strategic investment in sustaining the quality and competitiveness of Islamic educational institutions
Cross-School Coordination and Its Influence on Team Performance in Islamic Integrated Junior High Schools of the Riau Islands Province Taufik; Suaidi; Rusmini
International Journal of Post Axial: Futuristic Teaching and Learning Vol. 4 No. 1 March 2026: International Journal of Post Axial
Publisher : Yayasan Azhar Amanaa Yogyakarta

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Abstract

This study examines the influence of cross-school coordination on team performance within Islamic Integrated Junior High Schools in the Riau Islands Province. Using a qualitative case study approach, the research explores how collaborative mechanisms, shared leadership practices, and inter-school communication contribute to managerial effectiveness and organizational stability. Findings indicate that structured coordination activities enhance strategic decision-making, strengthen professional competence, and foster a coherent institutional culture. Cross-school collaboration also supports the development of shared norms, improves the accuracy of performance evaluation, and increases operational efficiency through streamlined administrative processes. These interactions create a supportive environment that enables leaders to address challenges more responsively while encouraging innovation and accountability. Overall, cross-school coordination plays a pivotal role in elevating team performance and strengthening institutional capacity across Islamic Integrated educational settings.
Analisis Perbandingan Pelabelan Inset Lexicon dan MBERT pada Sentimen Danantara Menggunakan SVM dengan Kernel Trick Rusmini; Heliawati Hamrul; A. Amirul Asnan Cirua
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9629

Abstract

This study aims to compare the Inset Lexicon and MBERT sentiment labeling methods for analyzing sentiment related to the Danantara issue using a Support Vector Machine (SVM) with Linear, RBF, Polynomial, and Sigmoid kernels. The main issues in this study are the suboptimal sentiment labeling methods for Indonesian-language data that can accurately capture linguistic context, as well as the uncertainty regarding the best labeling method when combined with various TF-IDF-based SVM kernels. Model evaluation uses metrics such as Accuracy, Precision, Recall, F1-score, and Cross-validation (CV). The results show that the Inset Lexicon labeling method with a Linear kernel yields the highest Accuracy of 81% with a CV of 78%, Precision of 87%, and Recall of 92%. The RBF kernel achieved an Accuracy of 78% with a CV of 76%, followed by the Sigmoid kernel at 79% Accuracy with a CV of 76%, and the Polynomial kernel at 65% Accuracy with a CV of 65%. The highest F1-score for the negative class using the Linear kernel reached 89%. Meanwhile, in MBERT labeling, the highest accuracy was achieved by the RBF kernel at 72% with a CV of 71%, followed by the Linear kernel with an accuracy of 71%, then the Polynomial kernel with an accuracy of 68%, and the Sigmoid kernel with an accuracy of 67%. The highest F1-score was found in the negative class at 79% using the RBF kernel. Overall, the negative class showed the most consistent performance, while the neutral class had the lowest Recall and F1-score values for almost all kernel types. These findings confirm that an in-depth comparative analysis between lexicon-based and deep learning-based approaches demonstrates that methods such as the Inset Lexicon can deliver better and more stable performance on Indonesian-language data.
Co-Authors A. A. Musyaffa A. Amirul Asnan Cirua Abellya Syafira Achmad Syaikhon Kabir Alexandria Nadya Ken Ababil Alfred J. Sianipar Ali Sadikin Amalia, Zelinda Fitri Andiyamin Ariani, I Gusti Ayu Devi Arista, Windi Asih, Findiyani Ernawati Asrulla Athiatul Haqqi Awaliyah, Saniyyatul DARYONO Daryono Daryono Dayinia, Manda Eka Deshaini, Liza Dewi Purnamawati Dian Novita Dian Novita Dwi Nur Oktaviani Kaliti Dyah Kusuma Wardhani Egi Rahman Permadi Endang Sriningsih Enni Merita Evi Oktarina Fadila Faradilla Fauzi, Irfan Mohd Fauziah Hayati Fitria Wulandari FITRIANA, NINING Hariono, Devlyn Angelia Haryanti, Rahma Nur Heliawati Hamrul Imara, Salsabila Yulia Irwin Niko WP. Hutapea Izzy Eka Nur Rochmad Kasful Anwar Us KASMINI Kayla Khairani Khuluqin Adzim, Muhammad KHURROTUL AINI LA MUDI, LA M. Yusuf Mazaly, Muhammad Rizky Mentari, F. Silvi Dwi Minnah El Widdah Misrul Moniqsa Purbo Syahrani MUCHLIS Muhammad Afifi Rahman Muhammad Ahyat Ridhoni Mukhtar Latif Mundjanah Naja Suad Suzainti Noorhapizah Nopita Cahyaningrum Nur Ainun Nur Azizah Syam Nur Hidayat Nur Hidayat NURWIDYA WAHYUNI, DEVI Pramesty, Shinta Dian Puguh Ika Listyorini PUTRI HANDAYANI, DWI Rahmanita, Rika Rahmat Sholihin Repindo Riama Rita Manullang Rizky Alicia Miranti Roby Romadani Rudito Rusli Anwar Sari Nilamcayo, Putri Sari, Rahmania Fitrah Satunggale Kurniawan Setyorini, Ratna Dwi Sihotang, Siti Fatimah Silvi Dwi Mentari Siti Rachmah Suaidi Sudarna Sulikah Sultan Adil Lanang Sejati Surya Indah Nurdin Syamsul Bakri Syauqi, Anis Taufik Tobi Haryadi Try Susanti Ulum, Orisia Toriqotul Wijayanti, Gusti Ayu Sri Pudja Warnis Windi Arista Yuanita Yuliandary Yunus Yumesri Yunita Wulandari Yunus, Abdullah Yusria Yusup Rohmadi Zainal Abidin Zainal Abidin Zainal Zuhir, Mada Apriandi Zuhri