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Journal : Infotekmesin

Evaluasi Sistem Pencahayaan Gedung Pendidikan Perkuliahan Sesuai Standar Nasional Indonesia (SNI) Vicky Prasetia; Supriyono; Purwiyanto
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1546

Abstract

The lighting system is one of the aspects of assessing the function of the building. The building lighting system is included in the health aspect of the building. To achieve proper function, the building lighting system must meet the illumination value of each room according to the type of utilization in accordance with SNI 6197:2011, SNI 6197:2011, SNI 03-2396-2001, dan SNI 03-6575-2001. This study aims to analyze the lighting system in the Gedung Kuliah Bersama at the Politeknik Negeri Cilacap. This study uses a quantitative method by comparing the amount of light intensity based on field measurements, calculation results, and the SNI 6197:2011 standard. Based on the results of observations, data processing, and measurements, it was found that there were still some rooms in the Gedung Kuliah Bersama that did not meet SNI. Rooms that have fulfilled SNI include classrooms, library rooms, language laboratories, lecturer transit rooms, multipurpose rooms, terrace, and warehouses. It is necessary to carry out maintenance and repair of lamps for rooms that do not meet SNI. Maintenance and repair of lighting systems are carried out by replacing, adding, and/or repositioning lamps.
Analisis Performa PLTS Off Grid Untuk Sistem Desalinasi Metode Osmosis Terbalik Supriyono Supriyono; Purwiyanto Purwiyanto; Bayu Aji Girawan; Joko Setia Pribadi; Agus Santoso
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1651

Abstract

Bondan Hamlet is a hamlet in Kampung Laut District, Cilacap. One of the community's problems is the lack of clean water and the PLN electricity network. In 2020, a desalination facility named Sidesi Mas will be built in Bondan Hamlet with a capacity of 240 liters/hour and using the reverse osmosis principle. The energy source for desalination uses a solar power plant (PLTS). Desalination management requires economic analysis, especially in determining the selling price of desalinated water. The cost of producing desalinated water can be calculated using the Cost of energy (CoE) value of the PLTS or the costs incurred to produce electrical energy per 1 kWh. To get the PLTS CoE, this article discusses a simulation to analyze the performance of PLTS desalination systems with Homer software. Homer performs analytical calculations based on a location input, solar energy potential, capacity, and costs of PLTS components as well as electrical load data. The simulation results show that PLTS energy production is 535 kWh/year, the CoE value is IDR 21,975/kWh and the production cost for producing clean water is IDR 183.13/liter.
Rancang Bangun Kwh Meter Digital Menggunakan Internet of Things Rio Guntur Dany Rafi; Supriyono Supriyono; Zaenurrohman Zaenurrohman; Purwiyanto Purwiyanto
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1928

Abstract

In general, the kWh meter is installed in a distribution substation that supplies electrical energy to the building. The weakness of ordinary kWh meters cannot provide real information on electricity consumption. Measuring and recording the use of electrical energy still requires human power. By utilizing an internet network based on the Internet of Things (IoT) concept, this research aims to design and manufacture a digital kWh meter to monitor and control the use of electrical energy in buildings in real-time on a website. Using the website and the MYSQL-PHPMyAdmin Database as data storage. The PZEM-004T sensor is used to measure the electrical energy used, then it is processed on the Wemos D1 Mini microcontroller. From the test results that have been carried out, the digital Kwh meter has succeeded in monitoring and controlling the use of electrical energy through the website in real-time. Percentage average error value: voltage: 0.44% - 0.49%, current: 0.36%, cos phi leading: 39%, cos phi lagging: 1%, power: 0.93% - 2.68%, kWh: 16.3%, frequency: 0 %.
Optimalisasi Output Photovoltaic Menggunakan Pendingin Air Pada Pembangkit Listrik Tenaga Surya Terapung Supriyono; Muhamad Yusuf; Purwiyanto
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2329

Abstract

Land requirements are one of the obstacles to developing solar power plants . One solution is to utilize the surface of the reservoir for the construction of floating solar power plants. Excessive heat from sunlight received by photovolataics reduces the effectiveness of floating solar power plants output. Excessive heat in photovoltaics can be reduced by cooling methods. In this research, a photovoltaic cooling system using water was developed. A water pump is installed to channel reservoir water to the photovoltaic surface. The cooling system uses two methods, namely the sensor and timer method. In the sensor method, a sensor is installed on the solar power plants to detect the photovoltaic surface temperature. If the temperature detected by the sensor exceeds the photovoltaic effectiveness limit, the water pump is started. In the timer method, the pump is run based on a preset time. Based on the test results, the cooling system is able to increase the photovoltaic voltage output. The average value of the timer mode cooled photovoltaic voltage is 3.79% higher compared to the photovoltaic voltage without cooling and the average value of the sensor mode cooled photovoltaic voltage is 1.02% higher than the photovoltaic voltage without cooling.