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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Systems Engineering and Management
Ayu Puspa Wirani
Universitas Sultan Ageng Tirtayasa
Computer Science & IT Control & Systems Engineering 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.
Analisis Fitur Citra Digital pada Membran Selulosa Bakteri–Kitosan dengan Variasi Konsentrasi Centella Asiatica Claudia Shinta Octa Wibowo; Czidni Sika Azkia; Ayu Puspa Wirani
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (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.Vol10No2.pp752-762

Abstract

Digital image analysis provides a simple, non-destructive approach for quantifying the visual characteristics of biomaterial membrane surfaces. This study evaluated bacterial cellulose–chitosan membranes impregnated with Centella asiatica extract at concentrations of 0%, 1%, 2%, and 3%, while maintaining a constant chitosan concentration. One full-resolution macroscopic image of each membrane was divided into ten non-overlapping regions of interest (ROIs), yielding a total of 40 ROI observations. Image processing was performed using Python to extract four color and intensity features, namely mean red, mean green, mean blue, and mean grayscale intensity, along with three texture features: contrast, homogeneity, and entropy. The analysis was conducted using a descriptive and exploratory approach, as each concentration was represented by only one membrane. The membrane containing 1% Centella asiatica extract exhibited the lowest mean grayscale intensity and the highest homogeneity, whereas the 2% membrane showed the highest mean grayscale intensity and the lowest homogeneity. The highest contrast value was observed in the 0% membrane, while the 2% and 3% membranes exhibited higher entropy values than the 0% and 1% membranes. These findings indicate that color and texture features provide complementary information for objectively characterizing visual differences and local heterogeneity among membrane formulations.
Analisis Integrasi Klasifikasi ABC dan VED Dalam Strategi Pengendalian Persediaan Suku Cadang Chyntia Devi Octaviany; Ana Mulyana; Ayu Puspa Wirani; Muhammad Nurhasan Assidiq; Anting Wulandari
Journal of Systems Engineering and Management Vol 5, No 2 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/joseam.v5i2.42504

Abstract

Pengelolaan persediaan suku cadang merupakan aspek penting dalam menjaga keberlangsungan proses produksi di perusahaan industri kimia dengan sistem produksi kontinu. Permasalahan utama yang dihadapi adalah penentuan prioritas pengendalian dengan banyaknya item suku cadang yang memiliki nilai investasi dan tingkat kekritisan yang berbeda, sehingga berpotensi menyebabkan overstock, dead stock, maupun stockout. Penelitian ini bertujuan menganalisis klasifikasi suku cadang menggunakan metode ABC dan VED serta mengintegrasikan kedua metode tersebut untuk mendukung optimalisasi Inventory Turnover Ratio (ITO). Metode ABC digunakan untuk mengelompokkan suku cadang berdasarkan nilai investasi tahunan, sedangkan metode VED digunakan untuk mengidentifikasi tingkat kekritisan setiap item terhadap kelangsungan operasi perusahaan. Hasil kedua klasifikasi kemudian diintegrasikan menjadi matriks ABC–VED sebagai dasar penentuan prioritas pengendalian persediaan. Berdasarkan hasil analisis, integrasi ABC–VED mampu membedakan suku cadang yang memerlukan pengawasan sangat ketat dengan suku cadang yang dapat dikelola menggunakan kebijakan persediaan yang lebih fleksibel. Pendekatan ini memberikan dasar bagi perusahaan dalam menyusun strategi pengadaan dan pengendalian persediaan yang lebih efektif, sehingga dapat mengurangi penumpukan stok, meningkatkan efisiensi penggunaan modal kerja, serta menjaga ketersediaan suku cadang kritis untuk mendukung kelancaran proses produksi. Dengan demikian, penerapan integrasi klasifikasi ABC–VED berpotensi meningkatkan efisiensi manajemen persediaan dan mendukung optimalisasi nilai Inventory Turnover Ratio (ITO).
Co-Authors Ana Mulyana Anting Wulandari Chyntia Devi Octaviany Claudia Shinta Octa Wibowo Claudia Shinta Octa Wibowo Czidni Sika Azkia Muhammad Faizahassan Muhammad Nurhasan Assidiq