Article Per Year (5 Year)
p-Index From 2021 - 2026
4.084
P-Index
This Author published in this journals
All Journal ELKHA : Jurnal Teknik Elektro Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Teorema: Teori dan Riset Matematika Kilat Jurnal Ilmiah Sutet Jurnal Teknik TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Indonesian Journal of Electrical Engineering and Computer Science Ilomata International Journal of Social Science Tadbiruna: Jurnal Manajemen Pendidikan Islam Milang Journal of Mathematics and Its Applications International Journal of Engineering Continuity Electrician : Jurnal Rekayasa dan Teknologi Elektro
Fikri, Miftahul
Institut Teknologi PLN
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
The Influence of Olive Oil Additive on Sunflower Seed Oil to Improve The Breakdown Voltage of Insulation Oil CHRISTIONO, CHRISTIONO; FIKRI, MIFTAHUL; MULYANA, IWA GARNIWA; ABDUH, SYAMSIR; MAURIRAYA, KARTIKA TRESYA; FAHRI, MUHAMMAD
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.701

Abstract

ABSTRAKTegangan tembus isolasi minyak yang baru adalah sebesar >=30kV/2,5mm. Sesuai dengan standar IEC 601-56:2018. Minyak biji bunga matahari dipilih sebagai alternatif karena harganya terjangkau dan mudah diperoleh, akan tetapi minyak biji bunga matahari murni belum memenuhi standar IEC 61099:2010, dalam memenuhi standart tersebut dibutuhkan zat adiftif untuk meningkatkan nilai tegangan tembus isolasinya. Tujuan dari penelitian ini adalah untuk meningkatkan tegangan tembus isolasi minyak bunga matahari setelah ditambahkan aditive minyak zaitun untuk meningkatkan kemampuan isolasi, mengikuti standar IEC 61099:2010. Hasil penelitian menunjukkan bahwa minyak biji bunga matahari mempunyai nilai tegangan tembus sebesar 30,9 kV. Namun, setelah ditambahkan aditif minyak zaitun dengan perbandingan 60:40, nilai tegangan tembus meningkat menjadi 50,3 kV. Sehingga hasil pengujian minyak biji bunga matahari yang ditambahkan minyak zaitun memenuhi standar tersebut.Kata kunci: Minyak Isolasi, Minyak Bunga matahari, aditif, Tegangan Tembus ABSTRACTThe new oil insulation breakdown voltage is >=30kV/2.5mm. Compliant with IEC 601-56:2018 standards. Sunflower seed oil was chosen as an alternative because it is affordable and easy to obtain, however, pure sunflower seed oil does not meet the IEC 61099:2010 standard, to meet these standards additives are needed to increase the value of the insulation breakdown voltage. This research aims to increase the insulation breakdown voltage of sunflower oil after adding olive oil additives to increase its insulating ability, following the IEC 61099:2010 standard. The research results show that sunflower seed oil has a breakdown voltage value of 30.9 kV. However, after adding olive oil additives in a ratio of 60:40, the breakdown voltage value increased to 50.3 kV. So that the test results for sunflower seed oil added with olive oil meet the standards outlined.Keywords: Insulation Oil, Sunflower Seed Oil, additive, Breakdown Voltage
Lifetime estimation of DC XLPE cable insulation using BPNN-IPM improved with various schemes and optimization methods Fikri, Miftahul; Abdul-Malek, Zulkurnain; Mohd Esa, Mona Riza; Supriyanto, Eko; Mulyana Kartadinata, Iwa Garniwa; Abduh, Syamsir; Christiono, Christiono
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp86-98

Abstract

The world’s need for green energy is something that cannot be postponed any longer, where the transmission-distribution process requires power distribution in DC voltage. However, currently, the majority use AC voltage, so limited experience and lack of data regarding electrical cable aging under high voltage (HVDC) and their reliability are problems that must be resolved. Crosslinked polyethylene (XLPE) constitutes many insulation cables used today, so estimating the lifetime of DC XLPE cable insulation is urgent research, even though various model-optimization improvements are needed to obtain accurate results. This research begins with pre-processing for the input and output data. These results were then analyzed using two improved model schemes to accommodate the addition of variable space charge and thickness: backpropagation neural network (BPNN) and hybrid BPNN with inverse power model (BPNN-IPM). The learning process uses gradient descent (GD), genetic algorithm (GA), and Levenberg-Marquardt (LM) optimization methods. Finally, the proposed method was verified using experimental data from previous research. The results show that the hybrid BPNN-IPM with LM optimization method is the most accurate: training root mean square error (RMSE) achieved 0 days, and testing RMSE achieved 0.83 days. These results show that the method BPNN-IPM-LM used is most accurate in estimating the lifetime of DC XLPE insulation.
Optimasi Daya Keluaran PLTS Berdasarkan Sudut Kemiringan Di Institut Teknologi PLN Jakarta Miftahul Fikri
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 18 No. 1 (2024)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v18n1.2534

Abstract

Energi terbarukan adalah energi yang mempunyai sifat terbarukan dan juga berkesinambungan yang dimana memiliki pemanfaatan alternatif terhadap energi yang perlu terus dikembangkan. Pembangkit Listrik Tenaga Surya (PLTS) menggunakan energi matahari sebagai sumber energi yang mngkonversi energi matahari menjadi energi listrik. Untuk mendapatkan nilai maksimal intensitas matahari yang diterima oleh panel surya, maka dibutuhkan sudut kemiringan paling optimal untuk menerima daya matahari yang paling tinggi. Penelitian ini dilakukan untuk mengetahui peningkatan daya yang dihasilkan terhadap perubahan sudut kemiringan dengan menggunakan metode kuantitatif korelasi dan menggunakan regretion quadratic method, yang dimana memperoleh nilai R² = 0,9273 dan mendapatkan hasil perbandingan yang didapatkan antara eksperiment dengan model regresi kuadrataik diperoleh nilai (Root Mean Square Eror) RMSE 0,160 yang menunjukkan model sangat baik. Kemudian diperoleh sudut yang mengoptimalkan luaran daya PLTS sebesar 33,7° dengan daya keluaran sebesar 8,87 W.
Improvement the cogging torque reduction methods by combining the magnet slotted and gradually inclined surface end in permanent magnet generator Abduh, Syamsir; Fikri, Miftahul; Nur, Tajuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp32-38

Abstract

Cogging torque (CT) in permanent magnet synchronous (PMS) machine, generator or electric motor should be reduced to increase the preperformance in application. Many CT reduction techniques has been proposed in the last few years. This research dealt with the study of techniques for reduction of the CT in PMSG. The PMS generator investigated in this paper is the integral slot number type with 18 slots and 6 poles. The CT has been analyzed to be reduced by employ the slot opening width variation, magnet edges slotting, and gradually inclined surface end. This paper also has analyzed the effect of combination of slot opening width and slotting permanent magnets. The finite element method magnetics (FEMM) is used in this work to perform electromagnetic simulations of the PMSG. Using the FEMM, the CT reduction of permanent magnet synchronous generators studied is analyzed and the CT peak value is compared. It is found that by combining of reduced of slot opening and slotting the permanent magnets can reduce the CT of PMS generator significantly abound 98.55% compared with the base line model.
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 Andi Amar Thahara; Christiono Christiono; Miftahul Fikri; Iwa Garniwa M. K.; Mohammad Wirandi
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.
Integrating ISO 50001 and PDCA Cycle for Continuous Energy Performance Improvement in Higher Education Buildings Dwi Listiawati; Christiono Christiono; Ishvandono Yunaini A; Miftahul Fikri; Andi Amar Thahara
International Journal of Engineering Continuity Vol. 5 No. 1 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i1.472

Abstract

This study proposes a systematic framework for energy performance improvement in institutional facilities by integrating technical auditing with the ISO 50001:2018 standard. Utilizing the Plan-Do-Check-Act (PDCA) cycle, a comprehensive energy baseline for the ITPLN Building was established based on 2024 data, revealing an annual consumption of 1,405,600.80 kWh. In the Check phase, the calculated Energy Consumption Intensity (IKE) of 104.78 kWh/m²/year classified the building as Efficient under ESDM Regulation No. 3/2025. Quantitative analysis identified HVAC (57%) and Lighting (18%) as primary drivers, necessitated by an average ambient temperature of 30°C. To address inefficiencies, the Act phase formulated strategic Energy Saving Opportunities (ESO) such as LED retrofitting and AC standardization. These interventions are projected to reduce consumption by 42,168.02 kWh/year, lowering the IKE to 101.6 kWh/m²/year—a 3% efficiency gain. The study concludes that integrating ISO 50001 with physical audit data provides a replicable and economically measurable strategy for optimizing energy performance, with systematic maintenance recommended to ensure long-term operational sustainability.
Predictive Modeling of Nonlinear Breakdown Voltage in Silicone Rubber Polymer Insulators with Fly Ash Filler Using the GLME and BPNN Methods Davina Salmah An’nafri; Christiono Christiono; Miftahul Fikri; Nurmiati Pasra; Andi Dyah Harum
International Journal of Engineering Continuity Vol. 5 No. 2 (2026): IJEC
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v5i2.607

Abstract

The expansion of Indonesia's transmission and distribution network increases the demand for high-voltage insulator materials with reliable dielectric performance and sustainable manufacturing. Silicone rubber (SiR) filled with coal fly ash is a promising alternative; however, its breakdown voltage varies nonlinearly with filler composition, temperature, and fly ash source. This study proposes a complementary statistical machine learning framework using Generalized Linear Mixed Effects (GLME) for interpretable statistical analysis and a Backpropagation Neural Network (BPNN) for flexible nonlinear prediction. The analysis used 512 secondary observations from four Indonesian fly ash sources, with filler compositions of 10–80% and temperatures of 35–50°C. Breakdown voltage increased with fly ash content up to an optimum of approximately 60–65% before declining at higher loadings, while increasing temperature consistently reduced dielectric strength. GLME achieved R² = 0.7457, RMSE = 0.0354, and MAPE = 1.57%, whereas the five-fold cross-validated BPNN showed slightly better average predictive performance, with R² = 0.7617, RMSE = 0.0343, and MAPE = 1.56%. GLME provides interpretable and statistically testable coefficients, whereas BPNN captures additional complex nonlinear patterns without requiring a predefined functional form. SEM and XRF characterization supported the observed nonlinear trends through particle dispersion and fly ash oxide composition, predominantly SiO₂ and Al₂O₃. The proposed complementary framework combines statistical interpretability with nonlinear predictive capability, supporting fly ash composition selection, efficient material screening, and breakdown voltage prediction for high voltage silicone rubber insulator applications.
EPISTOMOLOGICAL APPROACH AND FIQH TEACHING: BAYANI, BURHANI AND IRFANI CONCEPTS APPLIED AT THE TERTIARY LEVEL Nurhadi
TADBIRUNA: Jurnal Manajemen Pendidikan Islam Vol 6 No 1 (2026): TADBIRUNA
Publisher : Program Studi Manajemen Pendidikan Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51192/jurnalmanajemenpendidikanislam.v6i1.2502

Abstract

This research aims to explain the concepts of bayani, burhani and irfani which are integrated into fiqh learning in the Al-Islam muhammadiyahan course at UMJ. This research method uses descriptive analysis taken based on data in the field through references obtained from Manhaj Tarjih, and more specifically on the concepts of bayani, burhani and irfani. This research has its object at Muhammadiyah University, Jakarta. And involves various data collection techniques such as analysis and interviews with expert Bayani, Burhani and Irfani informants. As well as a review of previous research findings. The collected data was analyzed using various data reduction, presentation and verification. The findings of this research suggest that the application of the bayani, burhani and irfani approaches in learning Fiqh in the Al-Islam Kemuhammadiyahan aspect of worship has not been fully implemented. The importance of applying the concepts of bayani, burhani, and irfani in learning fiqh in tertiary institutions is highlighted in this research. Further research can determine the impact of implementing learning other than fiqh in higher education on the concepts of bayani, burhani and irfani. This research provides unique insight into the results that can be used as input through future research in the field of education in higher education which originates from the application of the concepts of bayani, burhani, and irfani.
Co-Authors Abdul-Malek, Zulkurnain Agus Yogianto Andi Amar Thahara Andi Amar Thahara Andi Dyah Harum Anggaini, Dwi Berlian Setiawaty Christiono Christiono Christiono Christiono CHRISTIONO CHRISTIONO Christiono, Christiono Dani Maula Sattar Davina Salmah An’nafri Denny setiawan Dewi Purnamasari Dhami Johar Dhamiri Dwi Listiawati Eko Supriyanto Hastuti Azis I Gusti Putu Purnaba Ishvandono Yunaini A Iwa Garniwa Iwa Garniwa Iwa Garniwa M. K. Iwa Garniwa MK Kartika Tresya Mauriraya Kartika Tresya Mauriraya Kurniawan Atmadja M. Reza Hidayat Makkulau, Andi Mohammad Wirandi Mohd Esa, Mona Riza Muh. Rezha Safariansyah Muhammad Fahri, Muhammad Mulyana K, Iwa Garniwa Mulyana Kartadinata, Iwa Garniwa Mulyana, Iwa Garniwa Nur, Tajuddin Nurmiati Pasra Nurmiati Pasra Ratnasari, Titi Rizki Pratama Rizki Pratama Putera Rizki Pratama Putra ROMADHONI, MUHAMMAD LUTHFIANSYAH Samsurizal Samsurizal Septianissa Azzahra Septiannissa Azzahra Sungsang Dody Purwanto Syahty Pratiwi Syamsir Abduh THAHARA, ANDI AMAR Titi Ratnasari Titi Ratnasari Titi Ratnasari