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Journal : RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL

Potensi Tempurung Kelapa Sebagai Pembangkit Listrik Dengan Menggunakan Termoelektrik Generator Sintiani Perdani; Didik Ari Wibowo; Desmira Desmira
Reslaj : Religion Education Social Laa Roiba Journal Vol 4 No 2 (2022): Reslaj: Religion Education Social Laa Roiba Journal
Publisher : LPPM Institut Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.408 KB) | DOI: 10.47467/reslaj.v4i3.797

Abstract

Around 35% of the total utilization of coconuts at this time is still not fully utilized. Thermoelectric is a technology that converts heat energy directly into electrical energy or converts electrical energy into heating and cooling energy. Data retrieval using two multimeters and an electric thermometer, data collection was carried out for 2 minutes. From the test results, this tool can produce an average voltage of 10.05 Volt for 200gram coconut shells, an average current of 0.99 Ampere and an average power of 13.84 Watts and can fully charge the battery up to 3 hours 33 minutes, while for 300 grams produces an average voltage of 10.59 Volts for 300gram coconut shells, an average current of 0.995 Ampere and an average power of 13.56 Watts and the battery can be fully charged in about 3 hours 36 minutes, while a coconut shell weighing 400 grams can produces an average voltage of 10.94 Volts, an average current of 1 Ampere and an average power of 13.70 Watts and the battery can be fully charged in about 3 hours 30 minutes. The more coconut shells used for combustion, the hotter the temperature and the faster the voltage and current are obtained, but with a note that the maximum temperature limit of the thermoelectric is T not more than 200o C. Keywords: Coconut Shell, Thermoelectric, Electrical Energy.
Prototype Face Attendance System Berbasis Raspberry PI Menggunakan Metode Eigenface di Program Studi Pendidikan Vokasional Teknik Elektro Untirta Fikri Firmansyah; Desmira Desmira; Endi Permata; Didik Aribowo
Reslaj : Religion Education Social Laa Roiba Journal Vol 5 No 5 (2023): Reslaj: Religion Education Social Laa Roiba Journal
Publisher : LPPM Institut Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.275 KB) | DOI: 10.47467/reslaj.v5i5.2331

Abstract

Face recognition is one of the pattern recognition approaches for the purposes of identifying a person's face with a biometric approach. From this biometric pattern, it can be used as a means to identify the presence of a student. Assisted by the Raspberry Pi, this facial recognition can be done and it can be concluded whether the biometric pattern matches or not. This suitability will be a reference to indicate the presence of a student. So a Raspberry Pi-based Prototype Face Attendance System was made using the Eigenface method. Eigenface is an algorithm that works based on Principle Component Analysis (PCA). Tests were carried out by testing 30 students with a total of 30 photo samples per individual resulting in an accuracy value of 78.85% and error value is 21.15%.