Article Per Year (5 Year)
p-Index From 2021 - 2026
4.93
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Telematics and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Komputer Terapan JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Justek : Jurnal Sains Dan Teknologi Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Building of Informatics, Technology and Science GUYUB: Journal of Community Engagement Jurnal Teknologi Informasi Cyberku COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Nusantara Journal of Computers and its Applications UPGRADE: Jurnal Pendidikan Teknologi Informasi JAR'S (Journal of Advanced Research in Informatics) Babakti : Journal of Community Engangement SINAR: Sinergi Pengabdian dan Inovasi untuk Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Babakti: Journal of Community Engangement
Fathorazi Nur Fajri
Universitas Nurul Jadid
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Enhancing Hotel Recommendation Using Multi-Criteria Neural CollaborativeFiltering Abu Tholib; Fathorazi Nur Fajri; Ilham Saifudin; Hairani; Juvinal Ximenes Guterres
Upgrade : Jurnal Pendidikan Teknologi Informasi Vol 4 No 1 (2026): Agustus 2026 In-Press
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/upgrade.v4i1.6253

Abstract

The increasing volume of hotel information on online travel platforms made hotel selection more difficult for users because decision making had to consider multiple aspects simultaneously, including value, accessibility, service, room quality, cleanliness, and sleep quality. Conventional recommendation methods often depended on overall ratings and therefore were not sufficiently capable of representing the multidimensional nature of hotel preferences. This study proposed an improved multi-criteria neural collaborative filtering (MCNCF) model for hotel recommendation using the Bali Hotel Review dataset. The proposed model integrated user identity, hotel identity, and six structured hotel evaluation criteria to learn user preferences in a more detailed and preference-sensitive manner. The experimental design was also strengthened through a more reliable preprocessing and evaluation pipeline, including data splitting before scaling, training-based imputation for missing values, and user ranking evaluation. The model was implemented using embedding-based neural interaction learning to capture nonlinear relationships between users, hotels, and multi-criteria features. The results showed that the proposed approach achieved stable and competitive performance across testing splits of 10%, 20%, 30%, and 40%. On the original rating scale, the model produced the best Root Mean Square Error of 0.416400 and the lowest Mean Absolute Error of 0.351719. In addition, the ranking performance remained consistently high, with Normalized Discounted Cumulative Gain values ranging from 0.976540 to 0.996243. These findings demonstrated that the proposed approach provided an effective and robust solution for hotel recommendation by leveraging structured multi-criteria preference information within a neural recommendation framework.
Implementation of Personal Protective Equipment Detection Using Django and Yolo Web at Paiton Steam Power Plant (PLTU) Khoirun Nisa'; Fathorazi Nur Fajri; Zainal Arifin
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26131

Abstract

Work accidents can occur at any time and unexpectedly, so work safety is associated with health because the work safety system in Indonesia is related to the K3 (Occupational Safety and Health) program. To create a safe and healthy work environment, occupational safety and health management are implemented to avoid work accidents by requiring every worker to use Personal Protective Equipment (PPE). This research aims to develop an immediate detection system for violations of Personal Protective Equipment (PPE) in the workplace using the Yolov8 Method and the Django web-based user interface framework. Yolov8 is one of the latest deep-learning object identification models while Django is the most popular Python developer framework. The system is designed to improve workplace safety and prevent accidents by monitoring compliance with PPE requirements. The research methodology involves literature study, image data collection, preprocessing, model training, and system deployment using the Django framework. There are four classes of detection based on the bounding box according to the specified color, the use of helmets and safety vests based on the red bounding box for helmets and blue for vests while when helmets and safety vests are not being used, based on green and yellow bounding boxes. The system successfully detected four PPE classes with an average accuracy of 82.3% from 230 test data, a mAP50 value of 81.6%, a precision value of 90.3%, and a recall value of 75.1%. The findings from this study indicate that the developed system can effectively improve occupational safety and health management. However, there is a detection error factor caused by the lighting and specifications of the camera used. Future research can focus on integrating the system with other work safety systems to provide a comprehensive solution for accident prevention.
Edukasi Cyber untuk Peningkatan Literasi Digital: Menuju Desa Smart People Fathorazi Nur Fajri; Moh. Dzikrillah; Ahmad Khairi
Babakti: Journal of Community Engangement Vol 2 No 1 (2025): April
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/babakti.v2i1.13084

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) di Desa Karanganyar bertujuan meningkatkan literasi digital masyarakat, khususnya dalam penggunaan media sosial yang bijak dan bertanggung jawab. Program ini penting karena tingginya penggunaan media sosial belum diimbangi pemahaman tentang keamanan, etika, dan dampak negatif seperti hoaks dan cyberbullying. Edukasi ini dirancang untuk mewujudkan Desa Karanganyar sebagai "Desa Smart People" yang adaptif terhadap perkembangan teknologi. Analisis situasi menunjukkan rendahnya literasi digital dan minimnya edukasi formal di desa tersebut. Untuk mengatasi tantangan ini, diterapkan metode berupa ceramah, diskusi interaktif, simulasi praktis, serta pendampingan pasca-program. Keberhasilan kegiatan ini didukung oleh partisipasi aktif pemerintah desa dan tokoh masyarakat. Hasil program menunjukkan peningkatan signifikan dalam pemahaman peserta terkait literasi digital, bahaya hoaks, dan pentingnya menjaga privasi. Perubahan perilaku masyarakat terlihat dalam sikap yang lebih selektif terhadap informasi yang disebarkan. Program ini juga mendorong pemanfaatan media sosial untuk promosi produk lokal dan pariwisata desa. Secara keseluruhan, program ini meletakkan dasar transformasi digital di Desa Karanganyar dan dapat direplikasi untuk membangun masyarakat yang cerdas teknologi di desa lain.
Co-Authors Abd Rahman Abda Abda Abdur Rohman Sholeh Abu Tholib Afiqur Rahman Agung Maulana Agung Wahyu Firdaus Ahmad Khairi Ahmad Khairi Arie Wahyudi Arifah, Indah Inayatul Badir, Muhammad Dewi Sholehatin Diyah Ayu Aprilingga Fadli Hidayat, M. Noer Fajrullah Fajrullah Fathur Rizal Furqon, Ainul Gulpi Qorik Oktagalu Pratamasunu Habibah Habibah Hadiyanto, Ridwan Hairani Hairani Halimatus Sa'diya Halimi, Ahmad Hasan, Muhammad Fadil Hasbul Bahar Ibadi, Suhdil Indri Ratna Sugianti Juvinal Ximenes Guterres Kamil Malik Khairi, Ahmad Khoirun Nisa' Khoirun Nisa' Malik, Kamil Matbulul Khairi Maulana, Agung Maulidiansyah Miftahul Huda Milzamah Elvi Laily Moh Jasri Moh. Budi Utomo Setiawan Moh. Dzikrillah Moh. Dzikrillah Moh. Rusli Azizi Mohammad Dzikrillah Muafi Muhammad Roziqin Musfiroh Musfiroh Nadiyatus Sholihah Nurul Hidayattun Nasyihin Priambodo, Wahyu Galih Puji Kurnia Sari Purwanto Purwanto Purwanto, Zendi Ari Ricardus Anggi Pramunendar Saifudin, Ilham Shodiq, Wali Jafar Siti Aisyah Suci Rahayu Agustini Suhdil Ibadi Syaiful . Syaiful Syaiful Uky Oktavia Risti Permatasari Uswatun Hasanah Wahab Sya’roni Wali Ja’far Shudiq Warda, Faridatul Wiwin Yuliana Yaqin, Moh. Ainol Yuliana, Wiwin Zainal Arifin Zainal Arifin