Article Per Year (5 Year)
p-Index From 2021 - 2026
0.961
P-Index
This Author published in this journals
All Journal IJID (International Journal on Informatics for Development) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen JIMT: Jurnal Informatika, Multimedia dan Teknik
Dody Herdiana
Informatics, Faculty Of Information Technology, Sebelas April University, Sumedang, Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Implementasi Algoritma Random Forest dalam Pengukuran Kesiapan Transformasi Digital Desa Kaduwulung Menuju Desa Cerdas Berbasis SNI ISO 37122:2019 Firmansyah, Esa; Agreindra Helmiawan, Muhammad; Herdiana, Dody; Yuniarto, Dwi
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 19 No. 2 (2025): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The readiness of healthcare workers and village officials in adopting digital technology is a decisive factor for the success of transforming into a smart village. This study aims to measure the digital transformation readiness level of Kaduwulung Village using the SNI ISO 37122:2019 standard through village data mapping and the implementation of the Random Forest algorithm for digital maturity classification. The research methodology employs a quantitative approach using the Design Thinking model combined with the Technology Acceptance Model (TAM) evaluation. The design results demonstrate that the integration of automated scoring features can assist in faster decision-making for public services. Based on the testing, the system obtained a System Usability Scale (SUS) score of 74 and a User Experience Questionnaire (UEQ) score of 1.98, proving that technology adoption readiness is significantly influenced by ease of navigation and system infrastructure support.
Co-Authors Abd. Rahman, Aedah Cahyan, Yayan Dwi Yuniarto Firmansyah, Esa Hidayat, Faishal Akbar Muhammad Agreindra Helmiawan Rahman, Titik Khawa Abdul Ramdhani, Ravi Rizki Subiyakto, A’ang Suryadi, Mulya Yan Yan Sofiyan Yopi Hidayatul Akbar