Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal
Djarot Hindarto
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perbandingan Kinerja Akurasi Klasifikasi K-NN, NB dan DT pada APK Android Djarot Hindarto
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1542

Abstract

Today many people use Internet technology, for various needs. Starting from shopping, transportation and education, using the Internet as a digital service. Equipment in accessing the Internet is also many and very diverse, ranging from personal computers, laptops to communication devices such as mobile devices. Today's mobile devices that have quite a lot of variations and are used by the community are mobile devices based on the Android operating system. In this situation, it encourages certain parties to take advantage of loopholes to seek profit, one of which is the creation of Malicious Software (Malware). The existence of Malware is very troubling, where the growth of malware is very fast. The phenomenon of Malware that continues to grow is what makes researchers focus on analyzing Malware by utilizing artificial intelligence technology. The purpose of this study is to analyze Android APK files with the static analysis method and classify the Malware family and not Malware or Normal APK files. Malware and non-Malware APK files were downloaded from Canadian Institute for Cyber ​​Security, Google Play and APK Pure. The files are extracted to be generated and stored as Malware datasets. The malware dataset was trained using machine learning algorithms. Machine learning used is Naïve Bayes, K-Nearest Neighbor and Decision Tree. Performance measurement accuracy and comparison between Naïve Bayes, K-Nearest Neighbor and Decision Tree which is part of Machine Learning.
Smart Village Smart Governance: Digitalisasi Pengembangan dan Sosialisasi Website Layanan Desa Kademangan.Net Sari Ningsih; Djarot Hindarto; Fauziah Fauziah; Asrul Sani; Endah Tri Esti Handayani; Ratih Titi Komala Sari; Frenda Farahdinna; Erina Rahmazani; Mohammad Aldinugroho Abdullah; Muhammad Mustaqim
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 3 No. 2 (2026): April: Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v3i2.3085

Abstract

The Community Service Program (PKM) collaboration organized by LLDikti Wilayah III represents a synergistic initiative among higher education institutions to support village digitalization based on the Smart Village Smart Governance concept. The program involved Universitas Nasional as the lead university, in collaboration with Universitas Muhammadiyah Prof. Dr. HAMKA and Institut Transportasi dan Logistik Trisakti as partner institutions, and was implemented in Kademangan Village, Mande District, Cianjur Regency. The activity focused on developing and socializing the Kademangan.net village service website as a digital platform to enhance transparency and efficiency in public services, including access to village information, public complaints, and MSME promotion. The program began with a socialization session at the Village Hall involving village officials and residents, followed by field surveys at the local Posyandu and residents’ homes to identify community needs and preferences regarding digital services. The results indicate that village service digitalization improves accessibility and time efficiency for residents, although assistance is still needed for those less familiar with technology. Overall, this collaborative PKM initiative contributes to strengthening digital-based village governance and serves as a sustainable model of inter-university collaboration in empowering rural communities through information technology.
Co-Authors Asrul Sani Endah Tri Esti Handayani Erina Rahmazani Fauziah Fauziah Frenda Farahdinna Mohammad Aldinugroho Abdullah Muhammad Mustaqim Ratih Titi Komala Sari Sari Ningsih