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Pengaruh Pemasangan Pembangkit Terdistribusi (Distributed Generation) Terhadap Magnitude Arus Gangguan pada Sistem Distribusi Tenaga Listrik Mustarum Musaruddin; Ahmad Munawir; Sahabuddin Hay
Prosiding Seminar Nasional Teknoka Vol 2 (2017): Prosiding Seminar Nasional Teknoka ke - 2
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Penelitian ini bertujuan untuk mengetahui pengaruh dari pemasangan pembangkit terdistribusi (Distributed Generation) terhadap magnitude arus gangguan hubung singkat pada lokasi gangguan pada sistem distribusi tenaga listrik. Dalam penelitian ini, sistem tenaga listrik dan pembangkit terdistribusi dimodelkan kedalam aplikasi Alternative Transient Program (ATP). Simulasi hubung singkat dilakukan dengan berbagai kondisi yaitu variasi jenis gangguan hubung singkat (dua fasa, dua fasa ke tanah dan tiga fasa), variasi lokasi gangguan serta jumlah dan lokasi pemasangan distributed generation. Hasil penelitian menunjukkan bahwa dengan adanya penambahan distributed generation dalam sistem distribusi tenaga listrik, maka arus gangguan akan meningkat dibandingkan dengan arus gangguan sebelum adanya distributed generation pada sistem tenaga listrik, khususnya ketika gangguannya terjadi didekat pembangkit terdistribusi. Jenis gangguan, Jumlah dan Lokasi pemasangan pembangkit terdistribusi mempunyai pengaruh terhadap magnitude arus gangguan hubung singkat.

Analisis Penentuan Lokasi Gangguan Hubung Singkat Pada Saluran Transmisi Di Sulawesi Tenggara Pebi Wahyudin; Mustarum Musaruddin; Hasmina Tari Mokui
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol 7, No 2 (2022): Jurnal Elektroda Vol 7 No 2
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jfe.v7i2.23386

The electricity system often experiences disturbances, especially short circuit disturbances on transmission lines. This short circuit disturbance is caused by various things such as lightning surges, fallen trees, animals, and other conditions. The interconnected Southeast Sulawesi power system cannot be separated from this short circuit problem. Therefore, determining the location of this short-circuit fault must be done quickly so that the cause of the disturbance can be immediately identified. This study aims to analyze the determination of the location of short circuit faults using the Takagi Method. Simulations were carried out using ETAP 16.0.0 software to see the condition of the Southeast Sulawesi system power flow. This Takagi method analyzes the location of the disturbance using the conditions before and after the disturbance occurs based on the recorded data at the substation. The results of the analysis carried out on the Southeast Sulawesi transmission line show that the percentage of accuracy in determining the location of a single-phase short-circuit fault to ground using the Takagi method is better, with a distance difference of 0.368-0.581 km (1.49%) when compared to the reading results on recordings of 10,173-9,960 km (31.58%) from the fault location occurred after inspection of the Lasusua-Kolaka transmission line. Disturbances on lines 1 and 2 Kolaka-Lasusua produce an error value of 1.533 km (9.24%) and 1.547 km (9.32%) when compared to fault locator readings of 3.212 km (19.36%) and 1.812 km ( 10.92%). Meanwhile, the Unaaha-Kolaka transmission line produces a distance difference of 0.709 km (3.29%) when compared to the fault locator reading of 4.323 km (20.12%). The results of the power flow simulation produce an installed generating capacity of 188 MW, a total active power of 116.780 MW and a reactive power of 29,944 Mvar. Thus, it can be concluded that the Takagi Method has a better accuracy value in reading fault locators.

Analisis Penentuan Lokasi Gangguan Hubung Singkat Pada Saluran Transmisi Di Sulawesi Tenggara Pebi Wahyudin; Mustarum Musaruddin; Hasmina Tari Mokui
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol 7, No 2 (2022): Jurnal Elektroda Vol 7 No 2
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jfe.v7i2.23386

The electricity system often experiences disturbances, especially short circuit disturbances on transmission lines. This short circuit disturbance is caused by various things such as lightning surges, fallen trees, animals, and other conditions. The interconnected Southeast Sulawesi power system cannot be separated from this short circuit problem. Therefore, determining the location of this short-circuit fault must be done quickly so that the cause of the disturbance can be immediately identified. This study aims to analyze the determination of the location of short circuit faults using the Takagi Method. Simulations were carried out using ETAP 16.0.0 software to see the condition of the Southeast Sulawesi system power flow. This Takagi method analyzes the location of the disturbance using the conditions before and after the disturbance occurs based on the recorded data at the substation. The results of the analysis carried out on the Southeast Sulawesi transmission line show that the percentage of accuracy in determining the location of a single-phase short-circuit fault to ground using the Takagi method is better, with a distance difference of 0.368-0.581 km (1.49%) when compared to the reading results on recordings of 10,173-9,960 km (31.58%) from the fault location occurred after inspection of the Lasusua-Kolaka transmission line. Disturbances on lines 1 and 2 Kolaka-Lasusua produce an error value of 1.533 km (9.24%) and 1.547 km (9.32%) when compared to fault locator readings of 3.212 km (19.36%) and 1.812 km ( 10.92%). Meanwhile, the Unaaha-Kolaka transmission line produces a distance difference of 0.709 km (3.29%) when compared to the fault locator reading of 4.323 km (20.12%). The results of the power flow simulation produce an installed generating capacity of 188 MW, a total active power of 116.780 MW and a reactive power of 29,944 Mvar. Thus, it can be concluded that the Takagi Method has a better accuracy value in reading fault locators.

Deteksi dan Segmentasi Gangguan pada Jaringan Transmisi Listrik berbasis Hilbert Transform Mustarum Musaruddin
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 1 (2023): Jurnal Fokus Elektroda Vol 8 No 1 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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Tujuan dari paper ini ialah untuk mengembangkan sebuah tehnik deteksi dan segmentasi gangguan pada sistem transmisi listrik berdasarkan teknik transformasi Hilbert. Deteksi dan segmentasi gangguan merupakan tahap pra-pemrosesan penting yang diperlukan untuk analisis otomatis pada saluran transmisi. Teknik yang diusulkan telah diuji dengan menggunakan data gangguan praktis untuk pemodelan sistem transmisi dengan berbagai jenis gangguan, resistansi gangguan, dan lokasi gangguan. Hasilnya menunjukkan bahwa teknik deteksi dan segmentasi gangguan Hilbert mencapai deteksi yang dapat diandalkan untuk sinyal arus dan tegangan tiga fasa pada segmen sinyal stasioner pra-gangguan, gangguan, dan setelah gangguan dengan tingkat akurasi yang baik.

Analisis Prakiraan Kebutuhan Energi Listrik di Kabupaten Kolaka Utara menggunakan Metode Dkl 3.2, Regresi Linear dan Software Leap Nur Rahmadani; Mustarum Musaruddin; Muh. Nadzirin Anshari Nur; Hasmina Tari Mokui; St. Nawal Jaya; Achmad Nur Aliansyah
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 2 (2023): Jurnal Fokus Elektroda Vol 8 No 2 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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This paper analyses the estimation of electrical energy demand in the North Kolaka Regency for the next few years and also analyses the accuracy of the forecasts from the methods used. The forecast methods used are the DKL 3.2, linear regression methods, and LEAP software with a BAU (Base as Usual) scenario. According to the results of the forecast of electrical energy demand for the upcoming five years using the DKL 3.2 method, there are 192548.29 customers, 31120935.67 kWh of electrical energy consumed, and 236523.48 kVA of connected power, respectively. Using the linear regression method, there are 197753 customers, 22733920.50 kWh, and 235493.40 kVA while using LEAP software, there are 219831.60 customers, 15351429.26 kWh and 274379.50 kVA. While the results of the analysis of the accuracy of the forecast method based on the MAPE and MSE value for the number of customers and the predicted power connected are the DKL 3.2 method, while for the consumption of electrical energy using the linear regression method.

Analisis Desain Permanent Magnet Synchoronous Generator 12 Slot 8 Pole dengan Membandingkan 3 Material Stator dan Rotor Menggunakan Software Magnet Infolytica Didin; Mustarum Musaruddin; Wa Ode Siti Nur Alam
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 2 (2023): Jurnal Fokus Elektroda Vol 8 No 2 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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This study analyses the design of a 12 slot 8 pole permanent magnet synchronous generator by comparing 3 stator and rotor materials. This research uses Finite Element Method (FEM) based software, Magnet Infolytica. FEM is a method used to solve problems about complex electromagnetics, so that it can be solved by analytical models, especially those related to non-linear properties of materials. In this study, 3 types of materials were used, namely Carpenter: silicon steel, Megaperm 40L and Vocaflux 48. The three generators with different stator and rotor materials were simulated using Magnet Infolytica 7.5 software. No-load simulation output results for 3 types of materials namely Carpenter: silicon steel of 279 VDc, Megaperm 40L of 265 VDc and Vocaflux48 of 261 VDc. For load testing, a load variation of 100Ω, 50Ω, and 25Ω is given. The results obtained that the material that produces the best output is Carpenter: silicon steel material which produces output at 100Ω load of 2.94 A, 294.20 VDc, -8.64 Nm and efficiency of 88%. At 50Ω load of 5.28 A, 264.30 VDc, -14.59 Nm, and efficiency of 86%. While at a load of 25Ω, the output is obtained at 8.74 A, 218.60 VDc, -21.16 Nm, and an efficiency of 81%.

Sistem Pendeteksi Nominal Uang Kertas Bagi Tunanetra Zhafirah Majdiyah Mustarum; Mardawia Mabe Parenreng; Nurul Khaerani Hamzidah; Mustarum Musaruddin
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 8 No. 4 (2023): Jurnal Fokus Elektroda Vol 8 No 4 2023
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

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This study introduces a banknote nominal detection tool designed to enable visually impaired individuals to determine the value of both Rupiah and Dollar banknotes. The system utilizes a TCS3200 sensor, integrated with an Arduino microcontroller, to read RGB data values when a banknote is placed on the sensor. The system then automatically compares the detected RGB values with predefined ranges, triggering an audio output on headphones or speakers that signifies the recognized banknote value. The primary objective of this tool is to enhance the independence of the visually impaired by providing a reliable means of identifying banknote denominations. By implementing this innovative solution, the risk of financial fraud against the visually impaired is mitigated, contributing to a more inclusive and secure economic environment. The experimental results demonstrate the efficacy of the designed system in detecting various Rupiah banknote denominations, including Rp 1,000, Rp 2,000, Rp 5,000, Rp 10,000, Rp 20,000, Rp 50,000, Rp 100,000, as well as US Dollar banknotes $1 and $5 from the 2022 emission.

Perbandingan Arsitektur CNN dalam Klasifikasi Barang Rumah untuk Anak Usia Dini Jaelani, Muhammad Ishak; Pramono, Bambang; Sarita, Muhammad Ihsan; Musaruddin, Mustarum; Isnawaty, Isnawaty
SemanTIK : Teknik Informasi Vol 10, No 1 (2024):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i1.47565

Kesibukan dalam bekerja dapat mengakibatkan kurangnya waktu bagi orang tua yang bekerja sehingga tidak mempunyai waktu untuk mengajarkan hal-hal baru kepada anaknya. Pengajaran ini sangat penting terutama bagi anak usia dibawah 5 tahun yang masih menjalani masa emas perkembangan. Pengajaran anak dapat dilakukan dengan menggunakan teknologi pengenalan gambar. Penerapan teknologi pengenalan gambar memerlukan metode seperti Convolutional Neural Network (CNN). Penerapan metode CNN yang dipadukan dengan android dapat membuat anak dapat belajar mandiri mengenal benda-benda baru di sekitarnya. Tujuan dari penelitian ini adalah merancang dan membangun sebuah aplikasi android yang dapat mengklasifikasikan barang-barang rumah tangga dan membandingkan arsitektur Mobile Network V1 dan Residual Network 18 dalam mengklasifikasikan barang-barang rumah tangga. Berdasarkan hasil pengujian sistem yang telah dilakukan, arsitektur Mobile Network V1 lebih baik dibandingkan arsitektur Residual Network 18 dalam klasifikasi rumah. Residual Network 18 memiliki nilai akurasi sebesar 98,37% dan membutuhkan waktu pembuatan model ± 27 jam, sedangkan Mobile Network V1 memiliki nilai akurasi sebesar 98,87% dan membutuhkan waktu pembuatan model ± 17 jam. Kata Kunci; Convolutional Neural Network, Mobile Network V1, Residual Network 18, Android

Implementasi Ensemble Learning Metode XGBoost dan Random Forest untuk Prediksi Waktu Penggantian Baterai Aki Rayadin, Muhamad Amhar; Musaruddin, Mustarum; Saputra, Rizal Adi; Isnawaty, Isnawaty
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 5 No 2 (2024): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v5i2.128

In motor vehicles, including cars, the battery plays an important role, namely as a place to store electrical energy and as an electric voltage stabilizer when the engine is turned on. In general, motorized vehicle users do not know the condition of the battery in their vehicle. Even though the use of battery batteries that are already in poor condition can interfere with vehicle performance. In battery replacement services such as after-sales service, the process of checking and replacing battery batteries takes a relatively long time. This can be caused by high service volume, lack of worker reliability, lack of responsiveness to the complexity of the inspection. This research aims to build a prediction model for battery battery replacement time quickly. To meet these needs, a Machine Learning approach can be used. Machine Learning uses historical replacement data to make predictions of replacement time. Machine Learning algorithms that can be used for prediction are XGBoost and Random Forest. This research uses ensemble learning techniques to combine the two models. Based on the evaluation results, it can be concluded that the model built with ensemble learning has better prediction results than a single model. Evaluation results with MSE on the ensemble bagging model have the lowest error values of 145,448. The MAPE, MAE, and RMSE evaluations on the ensemble boosting model have the lowest error values of 11.56 %, 43.80 and 38,760.

Analisis Pengaruh Kualitas Daya Listrik Terhadap Kerusakan Computerized Tomography Scanner (CT-SCAN) Dengan Metode Failure Mode And Effect Analysis (FMEA) Nazrayan, Nazrayan; Musaruddin, Mustarum; Sarita, Muh Ihsan
Jurnal Manajemen Rekayasa (Journal of Engineering Management) Vol 6, No 1 (2024): Mei Tahun 2024
Publisher : Pascasarjana Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jmr.v6i1.49052

Kualitas Daya listrik merupakan aspek yang sangat vital dari sistem tenaga listrik yang tidak dapat diabaikan, karena pentingya Power Quality yang baik akan menjamin kompatibilitas antara peralatan konsumen dan sitem jaringan listrik. Analisis parameter kualitas Daya listrik yang terkait dengan distribusi listrik seringkali sebagai masalah teknik yang kompleks. Pengamatan dan Pengukuran Kualitas Daya listrik dilakukan pada Main Distribution Panel pada gedung Radiologi Rumah Sakit Bahteramas. Pengukuran dilakukan dengan penganalisis kualitas daya listrik antara lain adalah Voltage Regulation/Inbalance, Voltage Sags/interruption, Fliker dan Harmonic Distorsi (THDv). Hasil pengukuran kualitas daya listrik pada Rumah Bahteramas diperoleh fenomena buruknya tegangan Sags /interruption Phasa S sebesar 12.27% dan phasa T sebesar 10.60%, juga pada nilai harmonik distorsi tegangan phasa R sebesar 8.31%, phasa S sebesar 10.23% dan phasa T sebesar 9.135% yang tidak sesuai standar buruknya kualitas daya listrik tersebut menyebabkan kerusakan serius pada peralatan Computerized Tomography Scanner (CT-Scan). Berdasarkan hasil analisis dengan mengunakan metode Failure Mode and effect analysis (FMEA) unit A_plane collimator dengan kegagalan pada bagian Mikroprosesor control system (PCs, PLCs, ASDs, dll.), Drivers motor. diperoleh Nilai Risk priority Number sebesar 84 RPN.Kata Kunci : Electric power quality, medical electrical equipment, Voltage Regulation/Inbalance, voltage sags/interuption, Flicker, harmonic distorsi, Failure mode and Effect Analysis (FMEA)

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