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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA PELS (Procedia of Engineering and Life Science)
Wicaksono, Arief Tri
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Ice Tube Maker Maintenance Services Reliable Solutions for Your Equipment: Layanan Perawatan Pembuat Tabung Es Solusi Terpercaya untuk Peralatan Anda Wicaksono, Arief Tri; Jamaluddin
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1578

Abstract

This study investigates the impact of maintenance on the performance and longevity of ice tube maker machines, crucial for cooling in regions like Indonesia with consistently high temperatures. Utilizing a methodical approach, the research focuses on selecting quality raw materials and monitoring ice cube production to determine maintenance intervals. Results highlight the significance of timely maintenance in sustaining machine efficiency and extending service life, ultimately ensuring consistent ice quality. Additionally, the study underscores the correlation between operational stability, electricity source reliability, and component workload. Findings emphasize the necessity of proper maintenance protocols to uphold machine functionality and productivity in challenging environments, offering implications for improved cooling technology worldwide. Highlights : Timely maintenance intervals crucial for machine longevity and efficiency. Quality raw material selection influences ice cube production and overall performance. Stable electricity sources vital for operational consistency and component workload management. Keywords: Ice Tube Maker, Maintenance Practices, Machine Performance, Cooling Technology, Operational Stability
Sistem Prediksi Efisiensi Konsumsi Listrik Konsumsi Listrik Rumah Tangga dengan Fuzzy Logic Wicaksono, Arief Tri; Syahrorini, Syamsudduha; Anshory, Izza; Jamaaluddin, Jamaaluddin
TIN: Terapan Informatika Nusantara Vol 6 No 6 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i6.8593

Abstract

The increase in household electricity consumption in Indonesia poses a major challenge to efficient and sustainable energy management. This research aims to develop a household electricity consumption status prediction system based on Mamdani fuzzy logic using the Python programming language. The system was designed to classify electricity usage into “efficient” or “inefficient” categories based on three main input variables: electrical power, usage duration, and number of electronic devices. The design process included fuzzification, rule base construction, Mamdani inference, and defuzzification, with the final results integrated into Google Sheets. System validation was performed by comparing 55 predicted results to actual labeled data. Performance evaluation using confusion matrix analysis showed an overall accuracy of 80% (44 out of 55 data) and a Mean Squared Error (MSE) value of 0.20. The main advantage of this model is its perfect sensitivity (recall) (100%) in detecting inefficient classes, as evidenced by a False Negative (FN) value of 0. The system successfully identified all 39 actual inefficient cases, although there were 11 efficiency cases that were classified as inefficient (False Positive). This research contributes to providing a precise digital tool that can increase public awareness of energy efficiency and support the control of household electricity consumption.
Co-Authors Izza Anshory Jamaaluddin Jamaluddin Syahrorini, Syamsudduha