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Modul Deteksi dan Perekaman Data Gempa berbasis Database Earthquake Intensity (DEI) PRIYADI, IRNANDA; HADI, FAISAL; KHOTIMAH, SALWA; BESPERI, BESPERI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 3: Published July 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i3.648

Abstract

ABSTRAKIndonesia, khususnya provinsi Bengkulu, adalah salah satu negara yang rawan bencana gempa. Hal ini disebabkan karena secara histografi, posisi wilayah Indonesia merupakan pertemuan tiga lempeng aktif yang setiap kali lempeng ini bergeser menimbulkan patahan yang menyebabkan terjadinya gempa bumi. Paper ini membahas tentang rancangan modul deteksi gempa yang diberi nama Earthquake Intensity Meter. Rancangan modul terdiri dari sensor MEMS MPU6050 dan 2 buah sensor piezoelektrik. Masing-masing sensor dipisahkan dengan jarak 10 meter dengan sensor MPU6050 yang menjadi pusatnya dan 2 sensor piezoelektrik hanya sebagai pemicu. Kombinasi sensor MPU6050 dan 2 sensor piezoelektrik mampu digunakan untuk membedakan getaran gempa dan bukan gempa dengan tingkat keberhasilan 32%. Aplikasi Vibrometer yang digunakan sebagai media kalibrasi, memiliki selisih 17% dengan intensity meter. Sedangkan akurasi sensor MPU6050 dalam rancangan modul memiliki selisih 11,17% dengan aplikasi vibrometer. Data hasil pendeteksian rancangan divisualisasikan secara realtime dan disimpan pada aplikasi DEI yang dirancang dengan VB 2010.Kata kunci: deteksi gempa, mpu6050, piezoelektrik, vibrometer, VB 2010 ABSTRACTIndonesia, especially Bengkulu province, is one of the countries prone to earthquake disasters. This is because histographically, the position of the Indonesian territory is a junction of three active plates which each time these plates shift, causing fractures that cause earthquakes. This paper discusses the design of an earthquake detection module called the Earthquake Intensity Meter. The module design consists of a MEMS MPU6050 sensor and 2 piezoelectric sensors. Each sensor is separated by a distance of 10 meters with the MPU6050 sensor at the center and 2 piezoelectric sensors only as a trigger. The combination of the MPU6050 sensor and 2 piezoelectric sensors can be used to distinguish between earthquake and non-earthquake vibrations with a 32% success rate. The Vibrometer application, which is used as a calibration medium, has a difference of 17% with an intensity meter. Meanwhile, the accuracy of the MPU6050 sensor in the module design has a difference of 11,17% with the vibrometer application. Data from design detection results is visualized in real time and stored in the DEI application designed with VB 2010.Keywords: earthquake detector, mpu6050, piezoelectric, vibrometer, VB 2010
Pengujian Tahanan Isolasi Pada Transformator Distribusi 160 kVA Di PT. PLN (PERSERO) UP3 Bengkulu Indra, Mandalahi Haldigian; Yanolanda Suzantry Handayani; Priyadi, Irnanda
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 12 No. 2 (2022): Amplifier November Vol. 12, No. 2 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v12i2.25274

Abstract

The power transformer is a high voltage equipment that functions as a distributor of electric power from high voltage to low voltage or from low voltage to high voltage. If the transformer's isolation condition deteriorates, it can have an impact on operating failure and the most fatal is that the transformer is damaged which can cause electrical system disturbances. To overcome this it is necessary to test the insulation resistance. This test is carried out using the polarization index method to determine the feasibility of the insulation resistance in the transformer. The use of this method is the most accurate and effective way to determine the feasibility of insulation resistance in transformers at distribution substations in Indonesia. This study took data at the location of PT. PLN (Persero) UP3 Bengkulu. In the insulation resistance test, the polarity index measurement results are obtained. Based on the data that has been collected then proceed with calculations and analysis to obtain better results. The ground-primary polarization index value shows that it is in good condition with a primary-ground value of 1.25 and a secondary-ground polarization index value of 1.5 (good standard between 1.25 – 2.0).
Genetic Algorithm-Based Contingency Ranking for the 500 kV JAMALI Interconnection System Irnanda Priyadi; Novalio Daratha; Yuli Rodiah; Ika Novia Anggraini; Tri Sutradi; Ade Sri Wahyuni; Makmun Reza Razali
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.332

Abstract

The performance of an electric power system is strongly tied to how well it can handle disturbances. In daily operation, one of the most frequent and serious disturbances is the loss of a transmission line. When a line trips, its load must be shared by the rest of the network. Sometimes this redistribution is harmless, but in stressed conditions it can create overloads and trigger further outages. To reduce this risk, system operators rely on contingency analysis. The (N-1) criterion, which considers the effect of losing a single component, is the most common standard. However, when applied to a large network, the number of cases becomes very high, and the analysis can be time-consuming. In this work, contingency ranking using a Genetic Algorithm (GA) is studied for two systems: the IEEE 30-bus test grid and the 500 kV Java–Madura–Bali (JAMALI) interconnection in Indonesia. The GA follows the usual cycle of initialization, selection, crossover, mutation, and fitness evaluation, with the Voltage Performance Index (VPI) used to measure severity. Different parameter settings were tested. The results show that line 36 (bus 28–27) is most critical in the IEEE 30-bus system with a VPI of 56.5915, while line 35 (Bangil–Paiton) is most critical in the JAMALI system with a VPI of 95.3947. These outcomes highlight the usefulness of GA in identifying vulnerable transmission lines.