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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknik Industri Terintegrasi (JUTIN)
Ayu Puspa Wirani
Universitas Sultan Ageng Tirtayasa
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Evaluasi Kenyamanan Termal Lingkungan Kerja Menggunakan Sistem Monitoring Suhu dan Kelembaban Berbasis Internet of Things (IoT) Ayu Puspa Wirani; Czidni Sika Azkia; Claudia Shinta Octa Wibowo; Muhammad Faizahassan
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.56380

Abstract

Work environment conditions, particularly air temperature and humidity, significantly affect workers’ thermal comfort. Manual monitoring methods often fail to capture thermal fluctuations comprehensively. This study aims to develop an Internet of Things (IoT)-based temperature and humidity monitoring system to evaluate thermal comfort in a workplace environment. The system integrates sensors, a microcontroller, and a communication module to enable real-time monitoring. Collected data were analyzed using the Temperature Humidity Index (THI) to determine comfort categories. Results show that the average temperature ranged from 26.2 to 27.8 °C and relative humidity from 67 to 76%, with THI values between 24.95 and 25.97, indicating moderately comfortable conditions. Higher temperatures were associated with reduced comfort, especially during midday to afternoon periods. The proposed system provides objective, real-time information to support sustainable ergonomics and occupational health and safety based workplace environmental management.
Simulasi Reaksi Kimia Berbasis Algoritma Titrasi Menggunakan Python: Studi Kasus Reaksi Asam-Basa Czidni Sika Azkia; Claudia Shinta Octa Wibowo; Ayu Puspa Wirani
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp45-52

Abstract

Learning acid–base titration concepts in schools is often constrained by limited laboratory facilities, making interactive and accessible digital simulations an effective alternative. This study aims to develop an acid–base titration simulation based on Python algorithms as an innovative learning medium. The simulation focuses on the reaction between a strong acid (HCl) and a strong base (NaOH) with predetermined volume and concentration parameters, displaying pH changes through a titration curve. The research method applies an algorithmic approach based on stoichiometric calculations, visualized using the Matplotlib library. The simulation results show that the model accurately represents pH changes from acidic conditions to the equivalent point and continues toward basic conditions, consistent with analytical chemistry theory. Validation was conducted through theoretical comparison, visualization against literature curves, and expert evaluation, resulting in an average score of 3.79 out of 4. This indicates that simulation is highly feasible for use in learning. The Python-based simulation not only enhances understanding of titration concepts but also serves as an alternative learning solution in schools with limited laboratory resources.
Co-Authors Claudia Shinta Octa Wibowo Czidni Sika Azkia Muhammad Faizahassan