Article Per Year (5 Year)
p-Index From 2021 - 2026
4.121
P-Index
This Author published in this journals
All Journal Semantik Techno.Com: Jurnal Teknologi Informasi Prosiding SNATIF Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pilar Nusa Mandiri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Literasi Digital Indonesia Indonesian Journal of Health Information Management Services (IJHIMS) Community: Jurnal Pengabdian Pada Masyarakat Prosiding Seminar Riset Mahasiswa Jurnal Informatika: Jurnal Pengembangan IT
Fahmi Amiq
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro, Semarang 50131
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : journal of information technology and computer science

 1 
Business Prospects Prediction for Waqf Lands Using Naïve Bayes And Apriori Algorithm Amiq Fahmi; Edi Sugiarto; Agus Winarno
Journal of Information Technology and Computer Science Vol. 7 No. 1: April 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202271351

Abstract

Waqf is a donation activity of an own property for charity and the general welfare under sharia. The productive waqf empowerment in perspective economic changes the use of waqf from consumptive to productive. Lands are one form of waqf, and they are strategic assets for productive waqf empowerment. This research aims to build a classifier to predict waqf lands as productive or not productive assets for business prospects. The classification used Naïve Bayes with attributes summarised from administrative data of waqf lands. A new method was proposed to improving the classification accuracy using a modified Apriori algorithm. A threshold value defined based on a mean value from the classification process by the Naïve Bayes was used to select classification results with a deviation of posterior value, and the value which was below to be reclassified using the Apriori algorithm. The proposed method used can improve prediction accuracy better than using only one Naïve Bayes classifier.
Spatial Epidemiological Typology of Dengue Risk in Semarang City: A K-Means Clustering Approach Based on Incidence and Fatality Rates Fahmi, Amiq; Anggit Wicaksono, Natanael
Journal of Information Technology and Computer Science Vol. 11 No. 1: April 2026
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.111793

Abstract

Dengue Hemorrhagic Fever (DHF) control strategies in urban Indonesia often rely on uniform interventions that fail to account for the spatial heterogeneity of disease outcomes. While Incidence Rate (IR) is commonly used to map risk, it overlooks the clinical severity represented by the Case Fatality Rate (CFR). This study creates a novel spatial epidemiological typology by integrating both IR and CFR using an unsupervised machine learning approach. analyzing data from 16 sub-districts in Semarang City (2016–2024), we constructed a dual-indicator clustering model. The analysis reveals three distinct risk typologies: (1) High Transmission Zones (High IR), driven by population density; (2) High Mortality Zones (High CFR, Low IR), indicating "silent" risks and potential clinical management gaps; and (3) Controlled Zones. Unlike traditional single-indicator mapping, this proposed typology offers a precise, data-driven framework for decision-makers, enabling the separation of vector control priorities from clinical system strengthening.  
Co-Authors -, Suhariyanto Abdul Rohim, Abdul Abu Salam Agus Winarno Agus Winarno Agus Winarno, Agus Al zami, Farrikh Alif , Moh. Fachri Alif, Moh. Fachri Alzami, Farrikh Anggit Wicaksono, Natanael Apriyanti Apriyanti Ardianda Aryo Prakoso Ariel Bagus Nugroho Asih Rohmani, Asih Astuti, Yani Parti Budi Harjo Budiono Budiono Candra Irawan Catur Supriyanto Cinantya Paramita Ciputra, Indramawan Diana Purwitasari Edi Faisal Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Etika Kartikadarma Fhaldian, Wahyu Fikri Budiman Hadi, Heru Pramono Harun Al Azies Hindarto, Aris Nur Husna, Farida Amila Indra Gamayanto ISWAHYUDI ISWAHYUDI Karis Widyatmoko Kurnia Desita, Raafi Lalang Erawan Laurensius Tokan, Geraldinho Lintang Mekar Tanjung Maurensa, Giacinta Mauridhi Hery Purnomo Megantara, Rama Aria Moch. Eko Rustiyono Muhammad Fais Ramadhani Muhammad Hilmy Munsarif Muhammad Naufal Mulyanto, Edy Muslih Muslih MY. Teguh Sulistyono Nasrudin Affandi Prasetyo Nova Rijati Novi Hendriyanto, Novi Prasetya, Rakan Shafy Pujiono Pujiono Pujiono Pujiono Pujiono Putra, Wahyu Bagus Wicaksono Ramadhan Rakhmat Sani Respati Wulandari Ridha Rahmawati Ridho Pambudi Rizky Adrianto Salsabila, Rizka Mars Sasono Wibowo Sidharta, Bayu Adjie Sihombing, Drigo Alexander Sri Winarno Sudibyo, Usman Suharnawi Suharnawi Suryo Adi Nugroho Tacharri, Chusnuut Tsani, Maulida Aristia Utomo, Danang Wahyu Wibowo, Syifa Sofia Yumna Huwaida, Imtiyaz Yuventius Tyas Catur Pramudi Zaenal Arifin Zahro, Azzula Cerliana