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All Journal JTERA (Jurnal Teknologi Rekayasa) 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 Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Nurfitria Khoirunnisa
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering 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.
Implementasi Multi-Platform Naïve Bayes untuk Prediksi Keberhasilan Mahasiswa secara Real Time Nurfitria Khoirunnisa; Haryati Haryati
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.61-68

Abstract

Penambangan data pendidikan (Educational Data Mining) telah berkembang menjadi teknologi penting untuk analitik prediktif dalam pendidikan tinggi. Namun demikian, konsistensi implementasi lintas platform masih menjadi area yang kurang dieksplorasi dalam penelitian. Prediksi kelulusan mahasiswa memerlukan pendekatan algoritmik yang robust dengan validasi kinerja lintas lingkungan komputasi yang dapat diandalkan untuk mendukung pengambilan keputusan akademik berbasis data. Penelitian ini bertujuan mengimplementasikan dan mengevaluasi kinerja algoritma Naïve Bayes dalam konteks penambangan data pendidikan untuk prediksi kelulusan mahasiswa. Studi ini menyediakan analisis komparatif multi-platform yang komprehensif antara implementasi WEKA dan Python, dilengkapi dengan validasi statistik yang ketat. Data akademik mahasiswa lulusan dari Program Studi D-3 Sistem Informasi Politeknik Negeri Subang digunakan sebagai data latih. Implementasi dilakukan menggunakan pendekatan dual-platform, yakni WEKA dan Python dengan pustaka scikit-learn. Evaluasi kinerja menggunakan validasi silang berlapis 10-lipat dengan metrik komprehensif yang meliputi akurasi, presisi, recall, skor F1, dan statistik Kappa. Analisis komparatif dilakukan terhadap algoritma Decision Tree, Support Vector Machine, Random Forest, dan Regresi Logistik. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes mencapai akurasi yang memadai dengan konsistensi lintas platform yang sangat baik. Analisis komparatif mengungkapkan kinerja yang kompetitif dengan efisiensi komputasi yang unggul. Implementasi multi-platform memvalidasi efektivitas Naïve Bayes untuk aplikasi penambangan data pendidikan dengan kinerja yang konsisten lintas lingkungan komputasi, menjadikannya pilihan yang tepat untuk penerapan analitik pendidikan secara real-time pada institusi pendidikan vokasi.
Design And Construction Of An Expert System For Early Detection of Mental Illness in COVID-19 Patients And Handling Using Certainty Factor Method Mohammad Iqbal; Nurfitria Khoirunnisa
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
STANDARISASI DOKUMEN KELENGKAPAN ITSM UNTUK AREA TECHNICAL SUPPORT MENGGUNAKAN ISO 20000 PADA DIVISI IT PT RALALI Nurfitria Khoirunnisa; Nunu Nugraha Purnawan; Mona Parlinggoman Siregar
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v2i2.471

Abstract

Organizations is one of the parts that use information technology, both business/profit-oriented organizations known as companies and non-profit organizations. Implementation of ITSM in an organization or IT division will be very helpful to increase the role of IT actively to help develop or support the company's business. In this process, IT in an organization will also be easier to develop and improve in terms of service quality, if the organization has implemented standardized service management (ITSM). This study aims to analyze and discuss about IT Service Management. PT Ralali is an IT company that focuses on providing a shopping platform for the first business needs in Indonesia. PT Ralali connects millions of vendors and MSMEs so they can start and grow their business. The current condition based on the results of the study illustrates that PT Ralali has not implemented ITSM, this is the findings of the checklist carried out on the ISO standard service delivery process. Through this research, it is known that there is a significant gap from what PT Ralali has done today compared to the standards held by ISO 20000, so that based on this gap, ITSM implementation can be proposed in the technical support area according to the company's needs and adapted to the scope Research area.
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 Mohammad Iqbal Mona Parlinggoman Siregar 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