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Multi-Response Optimization of 1 Kg Mass Artifact and Gravimetry as A Control Process in Legal Metrology Mass Laboratories Using the Taguchi Method and Response Surface Methodology Saufik Luthfianto; Sandi Satria; Irfan Santosa
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1376

Abstract

Artifacts are instruments used as reference standards or objects agreed upon at the national level. The reference standard must have a degree of accuracy based on measurements conducted by competent personnel. Another standard involves laboratory support facilities, including proper temperature, humidity, and lighting conditions. The purpose of applying standards is to minimize measurement errors and uncertainties. Therefore, standards in Legal Metrology ensure that all measuring instruments are traceable in terms of accuracy, both nationally and internationally. However, if the intercomparison results of a region fall outside the upper and lower limits in terms of artifact output, it is considered a failure, requiring room temperature standardization based on the optimal value of artifact actualization. The research method used is the Taguchi method combined with response surface methodology. This method is one of the mathematical approaches to quality control and is applied from the earliest stage, namely the design phase. The orthogonal array used is L8(24). The response measured is the actualization of a 1-kilogram special accuracy class weight artifact and gravimetry. The controlled and varied independent variables include AC temperature, actualization duration, lighting intensity, and the number of operators in the laboratory. Currently, the optimization process of laboratory conditions is still performed manually by laboratory operators, making it difficult to control the independent variables. Therefore, this study will implement the Internet of Things (IoT) to assist operators in setting independent variables for laboratory conditions. The research results show that the optimal conditions include an AC temperature of 16°C, an actualization duration of 15 minutes, 50% lighting intensity, and 1 operator in the laboratory.
IMPLEMENTASI ALAT MONITORING KONTROL SUHU DAN KELEMBAPAN IDEAL DI UPTD METROLOGI LEGAL KOTA TEGAL Saufik Luthfianto; M. Fajar Nurwildani; Siswiyanti; Tofik hidayat; Sandi Satria
Aplikasia: Jurnal Aplikasi Ilmu-ilmu Agama Vol. 25 No. 2 (2025)
Publisher : UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/31yta232

Abstract

Abstract - The service output provided by the UPTD Legal Metrology Office of Tegal City is the assurance of accurate measurement results, which highly depends on the stability of temperature and humidity within the laboratory environment. Uncontrolled fluctuations in these parameters can significantly reduce measurement accuracy and affect public satisfaction and trust as service users. This issue arises because no automatic control system currently regulates the laboratory environment, as temperature and lighting are still adjusted manually by operators, often resulting in unstable and suboptimal conditions. To address this challenge, a community service program was conducted in the field of industrial quality engineering through the implementation of Internet of Things (IoT) technology for automated environmental control. The activity involved direct measurement and variation of several independent variables air conditioner temperature, operating duration, lighting intensity, and human presence to determine the optimal combination that minimizes environmental fluctuation. The developed IoT system automatically regulates AC temperature, fan speed, and lighting intensity based on the standard error fit obtained from the Response Surface Methodology (RSM) model, which defines a K-factors automation as the key control parameter. The system operates adaptively in minute-by-minute loops to maintain optimal temperature and humidity levels while reducing energy consumption by efficiently operating one or two AC units as needed. Through this approach, environmental monitoring and control can be performed wirelessly via smartphones anytime and anywhere, allowing laboratory staff to work more efficiently while maintaining a stable, energy-efficient, and sustainable laboratory environment.   Keyword: Internet of Things (IoT), Legal Metrology, Temperature and Humidity Stability, Response Surface Methodology (RSM), Laboratory Automation.   Abstrak - Output layanan yang dihasilkan oleh UPTD Metrologi Legal Kota Tegal berupa jaminan kebenaran hasil pengukuran sangat bergantung pada kestabilan suhu dan kelembapan ruang laboratorium. Kondisi lingkungan yang tidak ideal atau berfluktuasi secara tidak terkendali dapat menurunkan akurasi pengukuran dan berdampak pada kepuasan serta kepercayaan masyarakat sebagai pengguna layanan. Permasalahan ini muncul karena belum adanya sistem kontrol otomatis terhadap kondisi ruangan, di mana pengaturan suhu dan pencahayaan masih dilakukan secara manual oleh operator. Akibatnya, kondisi ruangan sering kali tidak stabil dan belum mencapai performa optimal. Untuk mengatasi hal tersebut, dilakukan upaya pengabdian masyarakat di bidang rekayasa kualitas industri dengan menerapkan teknologi Internet of Things (IoT) sebagai solusi pengendalian lingkungan berbasis automasi. Kegiatan ini melibatkan proses pengukuran langsung terhadap beberapa variabel bebas, seperti suhu AC, durasi waktu, intensitas cahaya, dan jumlah manusia dalam ruangan. Variabel-variabel tersebut divariasikan untuk memperoleh kondisi optimal yang menghasilkan fluktuasi suhu dan kelembapan paling rendah. Sistem IoT yang dikembangkan dirancang agar dapat mengatur suhu AC, kecepatan kipas, dan intensitas pencahayaan secara otomatis berdasarkan nilai standard error fit dari model Response Surface Methodology (RSM) yang menghasilkan K-factors automation sebagai parameter kendali. Sistem bekerja secara adaptif dengan pengulangan perintah setiap menit untuk mempertahankan kondisi ruangan pada posisi ideal sekaligus menghemat energi listrik dengan menyesuaikan penggunaan satu atau dua unit AC secara efisien. Melalui pendekatan ini, proses pengendalian suhu dan kelembapan dapat dilakukan secara nirkabel melalui smartphone, sehingga meningkatkan kemudahan kerja operator dan memastikan kestabilan lingkungan laboratorium yang lebih presisi, efisien, dan berkelanjutan.   Kata kunci: Internet of Things (IoT), Metrologi Legal, Stabilitas Suhu dan Kelembapan, Response Surface Methodology (RSM), Automasi Laboratorium.