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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Journal of Information System, Applied, Management, Accounting and Research Jurnal Review Pendidikan dan Pengajaran (JRPP) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Promotif Preventif MAHESA : Malahayati Health Student Journal Bulletin of Information Technology (BIT) Jurnal Algoritma Jurnal Borneo Informatika dan Teknik Komputer (JBIT) Jurnal Ilmiah Pengabdian Kepada Masyarakat Innovative: Journal Of Social Science Research Coreid Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Elektronik Sistem InformasI Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi
Nurfitria Khoirunnisa
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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Pengembangan dan Penerapan E-learning untuk Pembelajaran Efektif di Pondok Pesantren Madaarikul Ulum: Penelitian Nurfitria Khoirunnisa; Taufan Abdurrachman; Shohib Khoiri; Lulu Latifah Nurhafsyah; Lina Sintia; Ardian Abdul Hanan; Fachry Firmansyah
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.4243

Abstract

This PKM aims to develop and implement a more effective learning ecosystem at Madaarikul Ulum Islamic Boarding School through an E-learning platform using Moodle, accompanied by digital literacy training rooted in spiritual values. Access constraints, variations in conventional teaching methods, and the need to enhance digital literacy for more than 480 students and educators drive this initiative. The methods include needs analysis, design and integration of Moodle with instructional processes, and comprehensive training for teachers and students, followed by digital literacy training that emphasizes ethics, security, and spiritual values aligned with the boarding school’s culture. Evaluation is conducted continuously through pre- and post-tests, participation observations, and participant feedback to assess improvements in technical skills, content comprehension, and the quality of learning interactions. Early results indicate enhanced technical competencies, digital literacy grounded in spiritual values, and more effective access to materials and online discussions. Moodle facilitates more structured class management and more objective assessment, supporting a learning model relevant to the boarding school. PKM could serve as a reference for other pesantrens in the effort to improve educational quality in line with SDG 4.
Design And Construction Of An Expert System For Early Detection of Mental Illness in COVID-19 Patients And Handling Using Certainty Factor Method Iqbal, Mohammad; Khoirunnisa, Nurfitria
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1785

Abstract

Covid-19 is a new type of virus that can be transmitted to humans. This virus spreads very quickly and has spread to almost all countries. In the midst of Covid-19 outbreak, social phenomenon emerged that has the potential to exacerbate the situation, it is negative social stigma against a person or group of people who experience symptoms or have COVID-19 disease. They are labeled, stereotyped, discriminated against, and treated differently because they are associated with Covid-19 disease. This pandemic puts pressure on the emergence of mental illnesses such as fatigue, stress, fear, sadness, loneliness, schizophrenia, anxiety, depression, or post-traumatic stress disorder (PTSD) and its probability of dying from Covid 19 is almost 3 times higher than those who do not have mental illness. Therefore, an expert system is needed to detect mental disorders in Covid-19 patients early as prevention. This system works as psychologist experts detect Covid-19 patients through the people closest to the patient. By observing the conditions and symptoms arose in the patient's psychological condition, the user will fill the data in the system to find out the level of disturbance experienced by the patient in real time. Then, the system will provide solutions, diagnosis results and appropriate treatment methods for patients so that symptoms of mental disorders can be detected and prevented early on without direct contact between patients and experts
Co-Authors Ardian Abdul Hanan Chepy Perdana Daniel Happy Putra Danuartha, Danuartha Dwi Vernanda Fachry Firmansyah Habsyah Saparidah Agustina Haryati Haryati Haryati Heri Andrianto Hilda Nur Febriliani Imam Ma'ruf Nugroho Jubaedah, Eulis Lina Sintia Lulu Latifah Nurhafsyah Masriah, Wulan Siti Nurul Minanton Mohammad Iqbal Mohammad Iqbal Mona Parlinggoman Siregar Mubarak, Fadlla Muhyidin, Yusuf Mustikasari Putri, Dewi Nunu Nugraha Purnawan Nunu Nugraha Purnawan Nurlan, Lani Panggah Sahistyo Ramdhani, Muhammad Ilham Rian Piarna Rostiawati, Tia Sari Azhariyah Shohib Khoiri Slamet Rahayu Slamet Rahayu Taufan Abdurrachman Tri Herdiawan Apandi Wulan Siti Nurul Yogi Saputra, Yogi