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All Journal Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal Sains Student Research
Al ghifari, Mohammad Ghazi
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Computer Science & IT Other

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Intelligent IoT-Enabled Roof Control System Using Mamdani Fuzzy Logic With Telegram-Based Remote Monitoring Wulandari, Sholihah Ayu; Baihaqi, Ahmad; Asysyauqi, Haris; Ulla, Lya Nurul; Al ghifari, Mohammad Ghazi
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i2.2612

Abstract

Automatic clothesline system is one of the solutions to the problem of clotheslines that are not due to sudden changes in weather, by using the esp8266 microcontroller it can be done to facilitate the community. This automatic clothesline system consists of esp8266 as a microcontroller, then a raindrop sensor as a rain detector and an ldr sensor as a sunlight detector. All components are assembled into a system to open and close the roof automatically, and users will also get notifications via telegram if the roof is open or closed. The results of this research show that the sensors work as expected, namely the roof can open and close automatically in rainy and dark conditions.
Rancang Bangun Sistem Pemantauan Suhu Kowi pada Peleburan Emas Berbasis IoT Menggunakan ESP32 dan Blynk Sujono Sujono; Al Ghifari, Mohammad Ghazi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8812

Abstract

The gold jewelry industry, particularly within Small and Medium Enterprises (SMEs), often faces crucial challenges regarding product quality consistency due to high reliance on conventional melting methods. Currently, the vital control of melting temperature relies solely on the operator's visual intuition in observing the glowing color gradation of the crucible. Dependence on this subjective approach carries significant production risks, including porosity defects, low metal alloy homogeneity, and substantial financial losses due to gold mass shrinkage or evaporation caused by overheating. This study aims to engineer a precise real-time temperature monitoring system based on the Internet of Things (IoT) to address these issues. The system is developed by integrating an ESP32 microcontroller as the main processing unit that processes digital data from a Type-K thermocouple sensor and MAX6675 amplifier module, then visualizing the data directly through the Blynk app interface on a smartphone. The research method includes designing hardware resistant to extreme heat environments, developing smart notification algorithms for early warning, and field testing on 24-karat pure gold melting. Test results show that the system is capable of monitoring the thermal characteristics of melting through outer crucible wall measurements up to a stable temperature of 625 degrees Celsius, which empirically correlates with the liquid phase of pure gold. The system also features responsive data transmission performance with an average latency of only 1.2 seconds. Additionally, the early warning feature successfully operates effectively at a calibration threshold of 620 degrees Celsius. Implementation of this system proves capable of increasing operational time efficiency and minimizing the risk of melting failure, making it a vital appropriate technology solution for the modernization of the gold industry.
Co-Authors Asysyauqi, Haris Baihaqi, Ahmad Sujono Sujono Ulla, Lya Nurul Wulandari, Sholihah Ayu