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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Elektron Jurnal Ilmiah EMITTER International Journal of Engineering Technology Jurnal Inotera Manutech : Jurnal Teknologi Manufaktur J-Innovation
Salfikar, Inzar
Politeknik Aceh
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Jurnal Inotera

 1 
Desain and Construction Hybrid System of PLN-PV-Battery in the Receiver Box Package Based Internet of Things Rachmad Ikhsan; Inzar Salfikar; Ramadhani
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID263

Abstract

In previous research, if there was a power outage from PLN, the electrical system in the package receiving box experienced problems, so that the package courier could not access the package receiving box. The purpose of making this tool is to overcome electrical supply failures in IoT-based package receiving boxes. The system designed uses voltage sensors connected to each source of electrical energy from PLN, Photovoltaic (PV) and also batteries. After that, the voltage sensor gives a signal to the Arduino for the switching process to be carried out on each source of electrical energy. This system works, if there is a power outage from PLN, the electrical energy is supplied via PV. If the PV voltage is not sufficient, the electrical system will be supplied via batteries, so that the electrical energy in the package receiving box will always be available and can work even if there is a power outage from PLN. Based on the hybrid system test results, it was found that the voltage sensor works by detecting voltage from each source of electrical energy. When the voltage sensor does not detect a voltage source from PLN, the system will switch to PV, when the voltage sensor on the PV detects a voltage below 10 Volts, then the system will switch to battery.
Prototype of Fire, Gas, and Steam Pressure Detection Based on Internet of Things (Case Study: PT Agro Sinergi Nusantara) Inzar Salfikar; Faulianur, Rizki; Yhona Syela Inri; Dodi Syahputra
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID429

Abstract

This study is based on a conversation that took place during an industrial vist by Aceh Polytechnic D3 Mechatronics students at PT Agro Sinergi Nusantara (ASN), where the company does not yet have a system in place to monitor gas, steam, and fire pressure in order to reduce hazardous circumstances in the factory. A fire detection system is needed to prevent fires because palm oil factories often have processes that involve flammable materials and have the potential to cause fires. The steam pressure in the boiler of the Steam Power Plant (PLTU) system at PT ASN needs to be monitored to prevent explosions. The PLTU combustion system that utilizes palm oil pulp and empty bunches produces carbon emissions that are harmful to health. Information on carbon gas levels also needs to be known to ensure whether the surrounding conditions are dangerous. The presence of fire, gas and steam pressure needs to be monitored via a smartphone connected to the Internet network. Thus, workers do not have to be close to the machine area because monitoring is sufficient on a smartphone. The research method is a case study at PT ASN, surveys and interviews, literature studies, experiments and simulations on prototypes and data collection in the laboratory. The data used for measurement are fire and gas from matches and air pressure from the compressor. The results obtained, this prototype is able to detect fire, gas and vapor pressure. When fire is detected, pressure and gas that exceed the setting limit will trigger the alarm to activate. The presence of fire and gas and vapor pressure data can be monitored on a smartphone with a delay of 17 seconds. The average accuracy of pressure detection with arduino is 96.20% and smartphone 97.07%.
Co-Authors Aan Febriansyah Achmad Basuki Ahyar Mustafa Andrian Maulana Atthariq, Atthariq Dodi Syahputra Fajri Aqsalmi Faulianur, Rizki Hafis Husna Ichan, Maulidi Indra Adji Sulistijono Javid Hamar Rachmad Ikhsan Ramadhani Rizki Faulianur Rouhillah Rouhillah Ryan Mulyawan Yhona Syela Inri