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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Prosiding SNATIKA Vol 01 (2011) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Seminar Nasional Informatika (SEMNASIF) Jurnas Nasional Teknologi dan Sistem Informasi Tech-E Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Keteknikan dan Sains (JUTEKS) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Prosiding Seminar Nasional Darmajaya Jurnal Teknoinfo IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JPGMI (Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Multazam) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Signaling Jurnal PkM: Pemberdayaan Masyarakat Jurnal Manajeman Pendidikan Al Multazam (JMPA) IJAIRTec JIBTec (Journal of Intelligent Business and Technology Science) Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Learning Technology Journal of Ethics and Character Education Journal of Marketing and Business Intelligence JLASA (Journal of Law and State Administration) International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science) Jurnal Signaling JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Muhamad Muslihudin
Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : journal of learning technology

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Sistem Aplikasi Tryout Dan Ujian Online Sekolah Dasar Berbasis Android (Study Kasus SD Negeri 2 Wates Timur, Pringsewu) Tira Anindya, Atifa; Muslihudin, Muhamad
JELTec (Journal of Learning Technology) Vol. 2 No. 2 (2024): JELTec (Journal of Learning Technology)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jeltec.v2i2.90

Abstract

This study introduces an innovative Android-based tryout and online examination application specifically designed for elementary schools, with a case study at SDN 2 Wates Timur. Traditional learning and evaluation methods in schools still heavily rely on face-to-face interactions, often lacking the efficiency offered by digital solutions. The novelty of this research lies in the integration of mobile technology tailored to the needs of young learners, enabling digital access to assessments and enhancing the overall learning experience. Data were collected through observation, interviews, and literature studies, while the application was developed using the System Development Life Cycle (SDLC) approach. Testing utilized black box methods on various Android devices to ensure compatibility. The results demonstrate improved efficiency in exam administration, simplified score recording for teachers, and reduced cheating among students. This application not only supports digital transformation in elementary education but also offers a replicable model for other schools seeking to integrate technology into their evaluation processes.
Smart Ma’had : Media Promosi Dan Layanan Pondok Pesantren Lilik Zumaroh; Muhamad Muslihudin
JELTec (Journal of Learning Technology) Vol. 3 No. 2 (2025): JELTec (Journal of Learning Technology)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jeltec.v3i2.160

Abstract

The rapid development of information technology, particularly the internet, has significantly influenced access to information by making it faster and more accurate. In the education sector, information technology can be optimally utilized through websites as media for information dissemination and student registration to improve service quality. At Ummul Quro Islamic Boarding School, information delivery and new student admissions are still conducted manually, which limits efficiency and accessibility. Therefore, this research aims to develop an information system that functions as a medium for delivering information and managing new student registration so it can be accessed anytime and anywhere without requiring direct visits. The research employs the waterfall method, a systematic and sequential software development approach starting from planning to implementation. The results show that the developed web-based information system effectively improves information accessibility and service processes, particularly in new student admissions. The system enhances administrative efficiency, simplifies data input, reduces errors, accelerates data recording, and supports better management of Islamic boarding school information.
Educational Data Mining for Student Graduation Pattern Analysis Using K-Means Clustering: A Case Study of STIT Pringsewu Muhamad Muslihudin; Fitria Cahyani; Miswan Gumanti
JELTec (Journal of Learning Technology) Vol. 4 No. 1 (2026): JELTec (Journal of Learning Technology)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jeltec.v4i1.209

Abstract

The increasing adoption of information technology in higher education has generated large volumes of academic data that can be utilized to support evidence-based institutional decision-making. However, many Islamic higher education institutions still face challenges in identifying student graduation patterns, particularly in distinguishing students who graduate on time from those who experience academic delays. This study aims to analyze student graduation patterns using the K-Means clustering algorithm as an Educational Data Mining approach. The study utilized academic records of 634 undergraduate students from an Islamic higher education institution in Lampung, Indonesia, with 127 records (20% of the population) selected through representative sampling for clustering analysis. Data preprocessing included cleaning, normalization, and attribute selection before clustering was performed using the Orange Data Mining platform. The resulting clusters were evaluated through visual exploration using scatter plots to identify similarities and differences in graduation characteristics. The analysis revealed distinct student clusters representing different graduation profiles, including timely graduates and students with delayed completion. These findings provide valuable insights for academic management by enabling early identification of at-risk students and supporting data-driven academic interventions, strategic planning, and quality assurance initiatives. The proposed approach demonstrates that K-Means clustering is an effective method for discovering hidden patterns in academic data and can contribute to improving student success management in Islamic higher education institutions.
Predicting University Student Academic Achievement Using the C4.5 Decision Tree Based on Socioeconomic Factors Muhamad Muslihudin
JELTec (Journal of Learning Technology) Vol. 4 No. 2 (2026): JELTec (Journal of Learning Technology)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jeltec.v4i2.217

Abstract

Student academic achievement is an important indicator in assessing the success of higher education; however, it is often influenced by external factors such as socio-economic background, including parents’ occupation and income. Differences in these conditions can lead to disparities in academic performance if not properly identified. This study aims to identify student academic achievement based on socio-economic background using a data mining approach with the C4.5 algorithm. The research process includes data collection through observation, interviews, questionnaires, and documentation, followed by data preprocessing, attribute selection, and classification model development using the Orange application on 510 student records with variables such as gender, Grade Point Average (GPA), parents’ occupation, and parents’ income. The results indicate that the C4.5 algorithm is capable of generating a decision tree model that identifies patterns between socio-economic factors and academic achievement, with GPA as the most dominant attribute. This model can be utilized as a basis for academic policy-making, such as providing educational assistance and academic support programs, and may also serve as a reference for future research to achieve more accurate and comprehensive analyses.
Co-Authors Abdul Hamid Adi Prasetia Nanda Agus Salim Agus Salim Ahmad Hilal Yusuf Ali Zainal Abidin Aminudin, Aminudin Andini, Bertha Andino Maseleno Andreas Andoyo Anggraeni, Elisabet Yunaiti Anggun Larasati Aprianto, Rudi Ari Bowo Arif Hidayat Arifin, Febrianto Ariyansyah Ariyansyah Atif Sidqi Baiti Ilma Bambang Ari Wibowo Baqiatus Solihah Bella Cahya Juwita Bella Yuristika Fauji Citrawati Jatiningrum Dedi Irawan Desti Tri Lestari Devi Fitriyana Dewi Hartini Dewi Lidia Purwani Dewi Rahayu Dewi, Novi Ayu Kristiana Dian Kusmawati Dian Puspita Didi Susianto Didik Kurniawan Diny Vellyana Dwi Puastuti Dwi Puastuti Eka Pratiwi Evi Haryani Evi Setyorini Fauzi Fauzi Fauzi Febri Ariyanto Febriyani, Eva Fery Susanto Fiqih Satria Fiqih Satria Fista Anisa Zahra Fitria Cahyani Garaika Guna Yanti Kumala Sari Siregar Pahu handoyo widi nugroho Hanifa, Hanifa Helmiyanto Helmiyanto Husaeni, Husaeni Ida Ayu Putu Anggie Sinthiya Ika Widyaningrum ikhwan, Ahmad Ikhwan, Ahmad Imam Samsudin Imamuddin Imamuddin Indah Tri Utami Irma Rosita Joni Kanti Lestari Karlina Karlina Kasmi Kasmi, Kasmi Keni Puspita Sari khusnul khotimah Komariyah Komariyah Larasati, Anggun Leni Anggraeni Leni Anggraeni Lestari, Desti Tri Lilik Zumaroh Listiarini, Mei Listiarini, Mei M Agus Badruzaman Al Khoir M Arif Imamudin Maharani Panggestu Mardeli, Iis Mardiyanto Mardiyanto Mardiyanto Mardiyanto Mayangsari Mayangsari Md. Mahmud Hasan Miftahuddin Miftahuddin Miswan Gumanti Miswan Gumanti Miswan Gumanti Muanam, Sahrul Musfika Amrullah Nadiatul Munawaroh Nadya Amalia Nasution Ningrum, Ajeng Amelia Noca Yolanda Sari Nofiko Setio Budi Novantry, Sonny Novia Anggraeni Nungsiyati . Nungsyati, Nungsyati Nur Latifah Oktafiani Oktafiani Oktariyan, Deni Panji Andika Pratomo Primayoga, Bagus Primeidila, Asifa Rahima, Gheriya Ramadian, Sabda Iman Riki Krisdianto Riki Renaldo Riki Renaldo, Riki Riki Riki RIKI RIKI, RIKI Rinjani, Fatma Riski Elivia Zelinda Rita Irviani Rohmat Indra Borman Rosdiana Listiawati Rudi Aprianto Rudi Aprianto Rustam Rustam Satria, Fiqih Satriya Berland Atmaja Sela Agnes Aprilia Siska Decahyati Siti Mukodimah Siti Rohayati Sodikin Sodikin Sofy, Ahyani Sri Hartati Sri Hartati Sri Wahyuni Suhendra Suhendra Sukmiati, Hermin Sukmiati, Hermin Sumarlin, Fitrahayu Susanto, Ferry Suyono Suyudi Suyudi Tamim Fuaidi Abdillah Taufiq Taufiq Tira Anindya, Atifa Tri Susilowati Trisnawati Tuti Puspitasari Wahyurial, Achmad Widianto Willy Renvillia Wulandari Wulandari Wulandari Yudhistira Ardana Yunitasari Yunitasari, Yunitasari Yusuf Setiawan Zahra Zainun Hayatie Zahra, Fista Anisa