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All Journal ELKHA : Jurnal Teknik Elektro Jurnal IPTEK ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika International Journal of Engineering Continuity
THAHARA, ANDI AMAR
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Clustering Suara Corona Discharge berdasarkan Tegangan menggunakan Metode Fuzzy C-Mean FIKRI, MIFTAHUL; CHRISTIONO, CHRISTIONO; MULYANA K., IWA GARNIWA; MAURIRAYA, KARTIKA TRESYA; PASRA, NURMIATI; SAMSURIZAL, SAMSURIZAL; ROMADHONI, MUHAMMAD LUTHFIANSYAH; THAHARA, ANDI AMAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 3: Published July 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i3.609

Abstract

ABSTRAKCorona discharge (CD) atau peluahan permukaan merupakan faktor kegagalan isolasi pada sistem kelistrikan yang dipengaruhi oleh kondisi lingkungan tidak menentu dan perlu pemantauan secara terkini. CD menghasilkan gelombang suara yang digunakan sebagai parameter untuk langkah awal mencapai tujuan tersebut, penelitian ini mengkluster suara CD pada terminasi kubikel 20 kV. Penelitian menggunakan elektroda jarum-jarum berjarak 3 cm. Tercatat nilai sebelum breakdown voltage terjadi pada tegangan 33,4 kV, dan pengambilan data terbagi 3 klaster: 20-24 kV, 25-29 kV, 30-33 kV. Proses klasterisasi dengan metode LPC untuk menghasilkan ekstraksi suara. Kemudian menggunakan metode fuzzy c-mean untuk memperoleh akurasi dengan membandingkan pola suara training dan testing. Pada Kelembapan berkisar 70%-95% dengan suhu antara 27,5°C - 35.3°C diperoleh hasil akurasi 96,00% untuk data training dan 80,00% untuk data testing.Kata kunci: Corona discharge, fuzzy c-mean, linear predictive coding, kegagalan isolasi ABSTRACTCorona discharge (CD) is a factor in insulation failure in electrical systems, which is affected by uncertain environmental conditions and requires up-to-date monitoring. CD which produces sound waves, is used as a parameter for the initial step to achieve this goal. This research will cluster CD sounds at 20 kV cubicle terminations. The study used electrode needles spaced 3 cm apart. The value recorded before the breakdown voltage occurred was 33.4 kV, and data collection was divided into 3 clusters: 20–24 kV, 25–29 kV, and 30-33 kV. The clustering process with the LPC method produces sound extraction. Then use the fuzzy C-mean method to obtain accuracy by comparing trained and tested sound patterns. At a humidity range of 70%–95% and temperatures between 27.5°C–35.3°C, the results obtained an accuracy of 96.00% for training data and 80.00% for testing data.Keywords: Corona discharge, fuzzy c-mean, linier predictive coding, insulation failure
Optimasi Dielektrika Isolator Polimer Silicone Rubber menggunakan Bahan Pengisi Limbah Coal Fly Ash THAHARA, ANDI AMAR; FATAH, MARTIN CHOIRUL; MULYANA, IWA GARNIWA; TIO, CHRISTIONO; FIKRI, MIFTAHUL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 4: Published October 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i4.1075

Abstract

ABSTRAKBerdasarkan penelitian dengan judul “Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulator” oleh Manjang dkk., (2015), telah dilakukan eksperimen uji karakteristik dielektrika fly ash sebagai filler pada isolator Silicone Rubber (SiR), namun belum adanya analisa optimasi komposisi kadar fly ash yang dilakukan, sehingga belum diperoleh nilai rekomendasi komposisi terbaik. Oleh karena itu, tujuan pada penelitian ini dilakukan studi lebih lanjut untuk menentukan nilai optimasi dari jenis komposisi pemanfaatan fly ash sebagai filler pada isolator SiR dengan metode analisa regresi kuadratik dan memperoleh model kuadrat komposisi fly as yang mengoptimalkan kekuatan dielektrika. Hasil optimasi komposisi fly ash pada pengujian sifat hidrofobik sebesar 20.69% dari komposisi fly ash dan pengujian permitivitas relatif sebesar 80% dari komposisi fly ash.Kata kunci: fly ash batu bara, filler, optimasi, regresi kuadratik, silicone rubber ABSTRACTBased on research entitled "Electrical and Mechanical Properties of Fly Ash Filled Silicone Rubber for High Voltage Insulators" by Manjang et al., (2015), experiments have been carried out to test the dielectric characteristics of fly ash as a filler on Silicone Rubber (SiR) insulators, but there is no the optimization analysis of the composition of the fly ash content was carried out, so that the best composition recommendation value has not been obtained. Therefore, the aim of this research is to conduct further studies to determine the optimization value of the type of composition utilizing fly ash as filler in SiR insulators using the quadratic regression analysis method and obtain a quadratic model of fly ash composition that optimizes dielectric strength. Optimization results of the fly ash composition in testing the hydrophobic properties of 20.69% of the fly ash composition and relative permittivity testing of 80% of the fly ash composition.Keywords: coal fly ash, filler, optimization, quadratic regression, silicone rubber
Optimization of Mechanical Performance Polymer Insulators SiR Using CFA Waste as Filler Fikri, Miftahul; K, Iwa Garniwa Mulyana; Christiono, Christiono; Thahara, Andi Amar
Jurnal IPTEK Vol 29, No 1 (2025)
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i1.4923

Abstract

This study investigates the use of coal fly ash as a filler in Room Temperature Vulcanization (RTV) silicone rubber to enhance its mechanical properties. Fly ash, which contains silica, has the potential to improve the strength of the polymer. The research aims to optimize the composition of fly ash in RTV silicone rubber composites using the quadratic regression method, focusing on tensile strength and elongation performance. Tests were conducted according to ASTM D 412 standards for tensile strength and elongation. The results showed that the optimal fly ash composition for tensile strength was 38.11%, resulting in a tensile strength of 0.19 and a Mean Absolute Percentage Error (MAPE) of 13.64%. For elongation, the optimal composition was 14.95%, with an elongation value of 192.094 and a MAPE of 24.75%. This study provides valuable insights into how fly ash can be used to enhance the mechanical properties of RTV silicone rubber composites.
Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM ) Fikri, Miftahul; Christiono, Christiono; Mulyana K, Iwa Garniwa; Ratnasari, Titi; Atmadja, Kurniawan; Thahara, Andi Amar; Romadhoni, Muhammad Luthfiansyah
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.63601

Abstract

In many electrical networks in Indonesia, insulation failure due to high voltage phenomena like Corona Discharge (CD) still happens. This is a result of our inability to perform early Corona Discharge (CD) identification. This study"™s objective is to optimalize the sound properties of Corona Discharge (CD) as a first step throught the early identification of insulation failure in the form of clustering 20 kV cubicle. Based on observations on the needle-rod electrode 3 cm apart, the smallest breakdown was obtained at 34.3 kV. So that the classification of CD sound by 3 clusters starting 20 kV cubicle voltage until before the failure occurs on 33 kV. The temperature in the cubical is between 27.5℃ - 35.3℃ and humidity ranges from 70% - 95%. It was stated in the study that the FcM method was the most widely used and successful method. In this case, FcM can obtain more flexible results that classify data into clusters easily. This research will be carried out using the Fuzzy c-Means (FcM) method. Feature extraction with linear predictive coding (LPC) method, then optimization by using the Fuzzy c-Means (FcM) method which is expected to be used as an initial step for early detection of insulation failure.
Comparative Study of PSO, GA, and ACO for Optimizing Dielectric Performance in Fly Ash Filled Silicone Rubber Thahara, Andi Amar; Christiono, Christiono; Fikri, Miftahul; Garniwa M. K., Iwa; Wirandi, Mohammad
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.v4i2.439

Abstract

This study investigates the optimization of coal fly ash composition as a filler in Silicone Rubber (SiR) insulator materials, aiming to enhance their dielectric characteristics. Compositional optimization was achieved by evaluating and comparing three advanced meta-heuristic algorithms Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Ant Colony Optimization (ACO), using the Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) as performance metrics. The utilized fly ash, containing dominant silica, alumina, and iron oxides, was directly incorporated into the SiR matrix. Results indicate that, compared to PSO, GA and ACO exhibited superior performance and consistency. Specifically, for Relative Permittivity, the optimal composition of 80% yielded the lowest errors with GA and ACO (RMSE = 0.0751; MAPE = 0.9044). For Hydrophobicity, these two algorithms showed superior accuracy in the RMSE metric (RMSE = 0.8883) at 15.39% loading. These findings underscore the scientific contribution of this study by establishing the superior reliability of GA and ACO for optimizing fly ash composition in SiR, thus providing a robust analytical methodology to advance the use of industrial waste for high-performance dielectric materials.
Co-Authors Atmadja, Kurniawan Christiono, Christiono Fatah, Martin Choirul Fikri, Miftahul Garniwa M. K., Iwa K, Iwa Garniwa Mulyana Kartika Tresya Mauriraya Mulyana K, Iwa Garniwa MULYANA K., IWA GARNIWA Mulyana, Iwa Garniwa Pasra, Nurmiati Ratnasari, Titi ROMADHONI, MUHAMMAD LUTHFIANSYAH Samsurizal Samsurizal TIO, CHRISTIONO Wirandi, Mohammad