Article Per Year (5 Year)
p-Index From 2021 - 2026
2.341
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) JADECS (Journal of Art, Design, Art Education and Culture Studies) Sinkron : Jurnal dan Penelitian Teknik Informatika Media Jurnal Informatika Jurnal Difusi Jurnal Pengabdian Masyarakat IPTEK Tedc Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Journal Of Artificial Intelligence And Software Engineering JGGAG (Journal of Games, Game Art, and Gamification)
Ade Hodijah
Politeknik Negeri Bandung
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Application of Named Entity Recognition (NER) in Job Vacancy Matching Using an Ontology-Based Approach (Case Study: Information Technology Sector) Rizki Gunawan; Ade Hodijah; Muhammad Ikhsan Maulana Taqwim; Afyar Siti Ababil; Urip Teguh Setijohatmo; Sri Ratna Wulan; Muhammad Riza Alifi; Aprianti Nanda Sari; Hashri Hayati
Media Jurnal Informatika Vol 17 No 2 (2025): Media Jurnal Informatika
Publisher : Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v17i2.5675

Abstract

The dissemination of job vacancies through online platforms still faces limitations in understanding the semantic relationships between the skills possessed by job seekers and the qualifications required by a job position. This mismatch results in an inefficient search process and longer search times. This study aims to develop a semantic-based job vacancy recommendation application (talent matching) using a skill ontology approach. One of the main challenges in developing the ontology is the lack of standardized data structures in job vacancy postings, particularly in the job description section. To address this issue, Named Entity Recognition (NER) techniques are applied to automatically extract skill entities from job description texts. The extracted results are then classified into a taxonomy structure using SkillsGPT, thereby forming a hierarchical skill concept model semantically represented within the ontology using Protégé. The matching process between user skills and job qualifications is conducted through semantic similarity calculations employing the Sánchez Similarity method. Job vacancy data are collected via web scraping, while system development follows the Rational Unified Process (RUP) methodology and is evaluated using Black Box testing. Evaluation results demonstrate that the developed system is capable of providing semantically relevant job vacancy recommendations according to the user's skill profile. Therefore, this study contributes both theoretically and practically to the development of ontology-based recommendation systems, particularly in the automated modeling of skill taxonomies from unstructured data.
Evaluating RAG Performance on Small Language Models for Low-Resource Devices through Chunking and Retrieval Methods Amelia Dewi Agustiani; Salsabila Maharani Putri; Jonner Hutahaean; Muhammad Rizqi Sholahuddin; Muhammad Riza Alifi; Ade Hodijah
JOIN (Jurnal Online Informatika) Vol 11 No 1 (2026)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v11i1.1733

Abstract

Retrieval-Augmented Generation (RAG) combines generative capabilities of language models with external document retrieval to answer questions grounded in reference texts. However, deploying RAG on low-resource devices like Android smartphones is challenging because SLMs have limited computational capacity and depend heavily on efficient chunking and retrieval. Although interest in on-device processing is growing, research on RAG configurations for SLMs under strict resource constraints especially for domain-specific tasks remains limited. This study therefore investigates which combinations of chunking technique, chunk size, overlap, and retrieval strategy best balance accuracy and speed on low-resource devices. The evaluation uses 148 Indonesian questions sourced from an official Hajj guidebook. The study consists of two phases retrieval and generation. Retrieval is evaluated using BLEU, ROUGE-L, MRR, MAP, and Hit@k, while answer quality is measured with BERTScore. The experiments compare different chunking methods (fixed-size or semantic), chunk sizes (128 or 256 tokens), overlaps (25, 50 and 100 tokens), and retrieval methods (dense, sparse, or hybrid). Results show that sparse retrieval with 256-token chunks and 100-token overlap yields the best answer quality (F1 = 0.726). However, 128-token chunks with the same overlap provide the fastest generation time (69.737 seconds). The main contribution of this study is a systematic evaluation of RAG configurations for fully on-device SLMs using a domain-specific Hajj and Umrah dataset not explored in prior research. The findings provide practical guidance for designing efficient and accurate RAG-based question-answering systems on low-resource devices.
PENGEMBANGAN APLIKASI MANAJEMEN DATA DASAWISMA DI DESA SARIWANGI Hashri Hayati; Muhammad Riza Alifi; Sri Ratna Wulan; Urip Teguh Setijohatmo; Ade Chandra Nugraha; Ade Hodijah; Fitri Diani; Cholid Fauzi; Jonner Hutahaean; Transmissia Semiawan
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 5, No 1 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v5i1.2146

Abstract

Desa Sariwangi, Kabupaten Bandung Barat, selama ini mengelola data dasawisma secara manual menggunakan formulir kertas. Metode ini kerap menimbulkan masalah seperti duplikasi data, kesalahan pencatatan, dan kesulitan dalam pelacakan data historis. Selain itu, proses rekapitulasi data yang memakan waktu lama juga menghambat pelaporan ke instansi terkait. Padahal, data yang akurat dan terkini sangat dibutuhkan untuk program pemberdayaan keluarga dan kesejahteraan masyarakat. Sebagai solusi atas permasalahan tersebut, kegiatan pengabdian ini bertujuan untuk mengembangkan aplikasi manajemen data dasawisma berbasis digital untuk meningkatkan efisiensi dan akurasi pengelolaan data kependudukan di tingkat desa. Aplikasi dikembangkan menggunakan metode Waterfall dengan tahapan analisis kebutuhan, desain sistem, implementasi, dan pengujian. Pelatihan diberikan kepada kader PKK sebagai pengguna utama. Tingkat keberhasilan diukur menggunakan System Usability Scale (SUS). Aplikasi berbasis web berhasil dikembangkan dengan fitur pencatatan data keluarga, rumah tangga, ibu dan balita, serta rekapitulasi otomatis. Hasil pengukuran SUS menunjukkan skor rata-rata 72,5 yang termasuk dalam kategori "Baik", menandakan aplikasi mudah digunakan oleh kader PKK. Aplikasi ini telah berhasil meningkatkan efisiensi pengelolaan data dasawisma di Desa Sariwangi. Dengan antarmuka yang sederhana dan fitur yang lengkap, aplikasi ini berpotensi untuk diterapkan di desa-desa lain dengan permasalahan serupa.
Co-Authors Ade Chandra Nugraha Afyar Siti Ababil Amelia Dewi Agustiani Arsyad, Zulkifli Asri Maspupah Carolina M.L. Cholid Fauzi Dzakira Fabillah Ediana Sutjiredjeki Ediana Sutjiredjeki Farid N., Moh. Firdaus, Lukmannul Hakim Fitri Diani Gelar, Trisna Ghifari Munawar Habinuddin, Endang Hashri Hayati Hashri Hayati Hayati, Hashri Jonner Hutahaean Jonner Hutahaean Junaedi, NS Juniwati, Endang Hatma Lasambouw, Carolina M Moh. Farid Najib Muhammad Ikhsan Maulana Taqwim Muhammad Riza Alifi Muhammad Rizqi Sholahuddin Nuryati, Neneng Rizki Gunawan S, Waway Qodratulloh Salsabila Maharani Putri Santi Sundari Sari, Aprianti Nanda Setijohatmo, Urip Teguh Sri N. Yuliyawati Suhartini, Ida Sumeru Sumeru, Sumeru Transmissia Semiawan Urip Teguh Setijohatmo Wulan, Sri Ratna Yuliawati, Sri N