Arif Jaya
Jurusan Teknik Elektro, Universitas Muslim Indonesia Makassar

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Pengaruh Equivalent Salt Deposit Density Terhadap Tegangan Flashover Bahan Isolasi Low Density Polyethylene (LDPE) Arif Jaya; Andi Syarifuddin; Sugianto Sugianto
Jurnal EECCIS Vol 13, No 1 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Paper ini mempresentasikan tentang pengaruh polutan Natrium Chloride (NaCl) di permukaan bahan isolasi Low Density Polyethylene (LDPE) terhadap kinerja tegangan flashover. Tujuan dari penelitian ini adalah untuk mengamati kinerja tegangan flashover  pada isolator yang terkontaminasi dengan polutan buatan. Penelitian dilakukan dengan cara pengujian di laboratorium dengan menggunakan  bahan dasar isolasi LDPE. Sampel uji dibuat berukuran 7cm x 7cm dengan ketebalan masing-masing 0,2 mm, 0,4mm, dan 0,6mm. Pada permukaan bahan isolasi tersebut dilakukan coating polutan dengan konsentrasi 10 gram sampai 50 gram. Proses pelapisan polutan dilakukan dengan menggantung sampel uji di dalam fogchamber, kemudian disemprotkan polutan buatan dengan konsentrasi NaCl yang berbeda selama ± 7 hari agar polutan terdistribusi merata di permukaan sampel uji. Kemudian diterapkan tegangan tinggi pada sempel uji untuk mengamati kinerja tegangan flashovernya dan pengukuran Equivalent Salt Deposit Density (ESDD). Hasil penelitian  menunjukkan bahwa semakin tinggi konsentrasi NaCl di permukaan bahan isolasi LDPE, maka secara signifikan menurunkan kinerja tegangan flashovernya.
Analisis Rugi-Rugi Daya Jaringan Distribusi Penyulang POLDA Area Makassar Utara Dengan ETAP 12.6 Sugianto Sugianto; Arif Jaya; Bayu Adrian Ashad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 7, No 1 (2020): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v7i1.1690

Abstract

Analisis Rugi-rugi Daya Saluran Distribusi Tegangan Menengah Penyulang Polda, bertujuan tegangan menengah penyulang polda. Perhitungan Rugi-rugi daya saat ini banyak menggunakan aplikasi computer, tujuannya untuk mempermuda dan mendapatkan hasil yang cepat dan akurat pada penelitian menggunakan software ETAP 12.6, disamping itu juga dilakukan perhitungan manual kemudian membandingkan dengan hasil dari software ETAP. Rugi-rugi pada Penyulang Polda menggunakan Software Etap  adalah 600,9 kW dan perhitungan manual 509,8 kW, Besar rugi-rugi Daya yang terbesar ada line 53 yaitu dari bus 121 ke bus 122 dan yang paling kecil terjadi pada line 98 yaitu dari bus 200 ke bus 201.
Distribution Factor Method Modified for Determine of Load Contribute based on the Power Factor in Transmission Line Syarifuddin Nojeng; Syamsir Syamsir; Arif Jaya; Andi Syarifuddin; Mohammad Yusri Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1236-1242

Abstract

This paper proposes a modification of distribution factor methods for identifying the load contribute in a transmission open access, with regard to the load power factor. This method may be considered as the first pricing strategy to be proposed in bilateral transaction for transmission usage, based on the actual use of the transmission network. The merit of this method relies on the existence of a load power factor with GLDF  methods, which allocate the  transmission cost, not only based on the amount of power flow but also on the load characteristic. A case study utilizing the IEEE 30-bus system was conducted to illustrate the contribution of the proposed method in allocating the transmission usage to the user in a fair manner.
The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas Syarifuddin Nojeng; Arif Jaya; Reny Murniati
International Journal Of Electrical Engineering and Inteligent Computing Vol 1, No 1 (2023): International Journal of Electrical Engineering and Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v1i1.5623

Abstract

This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.