Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi Journal of Informatics and Interactive Technology (JIITE)
Ulhaq, Muhammad Zhiya
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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

Found 2 Documents
Search

 1 
Prototype of IoT-based Gas and Temperature Monitoring System for Genset Room with ESP8266 Pramono, Agus; Ulhaq, Muhammad Zhiya; Mukti, Gilang Dely
SISTEMASI Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5711

Abstract

Generator rooms require strict environmental monitoring to ensure operational safety, as uncontrolled temperature and gas concentration conditions may pose risks of fire and workplace accidents. This study aims to develop an Internet of Things (IoT)–based generator room monitoring system capable of automatically and real-time monitoring temperature, humidity, and gas levels, with notifications delivered via a Telegram bot. The research method adopts a systematic approach through prototype development. The system utilizes DHT22 and MQ-2 sensors, a NodeMCU ESP8266 microcontroller, a buzzer, and is integrated with the Telegram Bot API. The testing results demonstrate that the device is able to responsively monitor environmental parameters, transmit real-time data to Telegram, activate the relay with a response time of 4–5 seconds, and provide automatic notifications when gas concentrations exceed safe thresholds with a delay of 1–2 seconds. Evaluation of the monitoring functionality and sensor data visualization through the Telegram application indicates that all sensor information is successfully displayed via the Telegram bot interface. Although data transmission from the sensors to the Telegram application is highly dependent on network connection stability, the experimental results show that the system is capable of delivering data with optimal response time.
Iterative Query Reformulation Berbasis LLM Untuk Temu Balik Artikel Hukum Indonesia Al Hafiz, Muhammad Abdiel; Wardana, Bayu Kusuma; Wibawa, Surya Harwindu Putra; Ulhaq, Muhammad Zhiya; Ramadhan, Muhami Jauza Alma; Ramdani, Noval Esa; Leksana, Evan Prima Mangku
Journal of Informatics and Interactive Technology Vol. 3 No. 1 (2026): April
Publisher : ACSIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63547/jiite.v3i1.113

Abstract

Akses terhadap informasi hukum yang akurat sering kali terkendala oleh kesenjangan semantik antara bahasa awam yang digunakan masyarakat dan terminologi hukum formal. Penelitian terdahulu yang menerapkan Retrieval Augmented Generation (RAG) pada Kitab Undang-Undang Hukum Pidana (KUHP) menghasilkan tingkat keberhasilan (Hit Rate) sebesar 80%, namun masih memiliki keterbatasan dalam menangani variasi gaya bahasa pengguna yang implisit serta konteks hukum yang kompleks. Penelitian ini mengusulkan metode Iterative Query Reformulation berbasis Large Language Model (LLM) untuk mengatasi permasalahan tersebut. Sistem ini menggunakan mekanisme Double Hop Retrieval yang melibatkan pencarian awal (initial retrieval) untuk mendapatkan konteks, diikuti oleh reformulasi pertanyaan menggunakan model Qwen 3 32B menjadi kueri hukum baku, sebelum dilakukan pencarian final ( final retrieval). Menggunakan dataset yang dikumpulkan dari HukumOnline sebanyak 750 artikel, evaluasi dilakukan menggunakan metrik Faithfulness, Answer Relevancy, Hit Rate, dan Mean Reciprocal Rank (MRR). Hasil pengujian menunjukkan peningkatan performa yang signifikan, dengan skor Faithfulness mencapai 98.6%, Answer Relevancy 100%, Hit Rate 100%, dan peningkatan MRR dari 90% (tanpa reformulasi) menjadi 93% (dengan reformulasi). Pendekatan ini terbukti efektif menjembatani kesenjangan bahasa dan meningkatkan presisi temu balik informasi hukum di Indonesia.
Co-Authors Agus Pramono Al Hafiz, Muhammad Abdiel Leksana, Evan Prima Mangku Mukti, Gilang Dely Ramadhan, Muhami Jauza Alma Ramdani, Noval Esa Wardana, Bayu Kusuma Wibawa, Surya Harwindu Putra