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All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan Transmisi: Jurnal Ilmiah Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika dan Teknik Elektro Terapan Proceeding of the Electrical Engineering Computer Science and Informatics CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan CCIT (Creative Communication and Innovative Technology) Journal Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal E-Komtek Frontier Energy System and Power Engineering Community Development Journal: Jurnal Pengabdian Masyarakat JTEIN: Jurnal Teknik Elektro Indonesia Bulletin of Community Engagement Jurnal Teknik Elektro Jurnal Teknik Informatika dan Elektro (JURTIE) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Power Elektronik : Jurnal Orang Elektro Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) KOPEMAS
Langlang Gumilar
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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KAJIAN KELAYAKAN SISTEM FOTOVOLTAIK DI KAMPUNG MANDIRI ENERGI Aripriharta -; Dwi Mukti Asmoro; Muhammad Jazuli Shubhi; M Rodhi Faiz; Langlang Gumilar
Power Elektronik : Jurnal Orang Elektro Vol 12, No 2 (2023): POWER ELEKTRONIK
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/polektro.v12i2.5020

Abstract

Electrical energy is a vital need and very important for modern society. Not only in big cities, electrical energy has become a big part of the survival of village or village communities. Recently,  Renewable Energy (EBT) has been developed to fulfil the demand for electrical energy as a strategic energy source that is useful in anticipating an energy crisis. This study analyzes the feasibility of village-scale solar power plants (PLTS) with a capacity of 11.25 kWp using PVsys software, the system uses 45 pv 250 WP, 9000 Watt Inverter, 2 SCC with a capacity of 5000 W, a battery of 2,400 Ah. The output of the system show is 46.90 kWh per day. The power was used to supply 38 houses with an average load requirement of 35.3 kWh per day or 1 kWh per house. In the PLTS system designed along with economic analysis in the form of an investment value or PWA of IDR 282,674,638, the BEP value is reached in the 12th year, the Net Present Value (NPV) is IDR 9,447,427. The cost of energy is IDR 25,678,500/ year.
Comparative Analysis of External Lightning Protection Systems Using Protective Angle and Rolling Sphere Method in Areas That Have High Lightning Intensity Gilang Indrianto Pramono; Mohamad Rodhi Faiz; Langlang Gumilar; Sujito Sujito
Frontier Energy System and Power Engineering Vol 5, No 1 (2023): January
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um049v5i1p09-15

Abstract

Indonesia is a tropical country with a geographical condition where 71% of its area is water. This is what coueses Indonesia is considered a country with a high density of lightning strikes. This results in buildings in Indonesia being at a high risk of damage caused by lightning strikes. According to data from BMKG, the city of Malang has a high lightning intensity, with 108 thunderstorm days per year, posing a serious threat to the Electrical Engineering Building of the Faculty of Engineering at the University of Malang. Considering the building's age and expansion on the building's side, it is necessary to evaluate the lightning protection system to determine whether the existing system is still working effectively and efficiently. Improving the system's performance against lightning disturbances can be done by analyzing the previous external lightning protection system and then evaluating it using the angle of protection and rolling sphere methods. The analysis and evaluation of the external protection system are based on PUIPP, PUIL, SNI, and IEEE standards.
Long-term Electricity Power Forecasting at PT PLN UP3 Kediri Using Trend and Monte Carlo Simulation Methods Naizatul Zainul Rofiqi; M. Cahyo Bagaskoro; Sujito; Langlang Gumilar; Aripriharta, Aripriharta
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 7 No 1 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v7i1.1131

Abstract

Community consumption power in the use of electricity resources is growing very rapidly. This is because the power source is the main need for the community. Without electricity, daily needs cannot run smoothly. In various regions, especially Kediri, where the needs are changing, it is necessary to predict and provide electricity to meet the consumption needs of the people. There are many things that can be done to predict the need for electric power, one of which is forecasting. Forecasting methods that can be used include trend and Monte Carlo Simulation. The results of this study indicate that Monte Carlo simulations are better at predicting long-term electrical power requirements at ULP3 Kediri. Long-term electricity demand can be predicted with the equation: Yt =138691 + 6709 x t + 231 x t2. The results of the research can help PLN UP3 Kediri to provide electricity for consumers.
Investigation of the usage of zigzag transformers to reduce harmonics distortion in distribution systems Gumilar, Langlang; Wicaksono, Ibram Adib; Afandi, Arif Nur; Samat, Ahmad Asri Abd; Sias, Quota Alief
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.138-149

Abstract

The increasing use of power electronics in various sectors leads to harmonic distortion in electric power systems, affecting power quality and equipment longevity. While harmonic filters have been used to address this issue, they are limited in effectiveness, particularly in reducing distortion across the entire distribution system. This study aims to reduce harmonic distortion using a zigzag transformer as a more comprehensive solution in mitigating harmonic distortion throughout the entire distribution system. In this research, the zigzag transformer was placed at point common coupling to reduce harmonic distortion in the distribution system as a whole. A zigzag transformer connection was configured by connecting either three windings of a single-phase transformer or one winding of a three-phase transformer. Based on the results of this research, the total harmonic distortion (THD) value has decreased from 25.26 % to 2.48 % following the implementation of the zigzag transformer. This substantial decrease in THD concludes the zigzag transformer's effectiveness as a solution for improving power quality in electrical distribution systems.
PENERAPAN IEEE 519-2014 TERHADAP IDENTIFIKASI DISTORSI HARMONISA PADA TRANSFORMATOR 3 FASA Wardhany, Arum Kusuma; Monika, Dezetty; Gumilar, Langlang
Jurnal Teknik Elektro Vol 12 No 2 (2022): Jurnal Teknik Elektro
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36546/jte.v12i2.835

Abstract

Transformator merupakan peralatan yang paling merasakan adanya harmonik, karena letaknya yang lebih dekat terhadap beban. Pada transformator, harmonik arus (THD% I) akan menyebabkan peningkatan rugi-rugi tembaga (Cu), sedangkan harmonik tegangan (THD% V) menyebabkan peningkatan rugi-rugi arus Eddy (Eddy Current) sehingga terjadi kerugian daya dan peningkatan temperatur. Pada penelitian ini dilakukan untuk mengetahui gangguan harmonik pada transformator 3 phasa dari pemakaian beban non linier dengan cara mengidentifikasi tingkat dominan harmonik, THD % arus maupun tegangan, peningkatan temperatur dan estimasi kerugian daya yang dimonitoring secara real-time menggunakan software IoT Blink. Hasil pengujian menunjukkan bahwa harmonisa arus pada transformator 3 phasa menimbulkan rugi – rugi tembaga (Cu) sebesar 0,0424 pu (setara 57,98 W) dan rugi arus eddy sebesar 0,0370 p.u (setara 50,60W).
ANALISA MUTU DAYA SISTEM GENERATOR TENAGA LISTRIK TERHADAP PEMAKAIAN BEBAN NON LINEAR BERBASIS IOT Mutiar, Mutiar; Monika, Dezetty; Gumilar, Langlang; Rumokoy, Stieven Netanel
Jurnal Teknik Elektro Vol 13 No 1 (2023): Jurnal Teknik Elektro
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36546/jte.v13i1.897

Abstract

Berkembangnya peralatan kelistrikan yang termasuk kedalam beban non linier banyak digunakan oleh konsumen karena praktis dan mudah dalam hal pengontrolan. Beban non linier yang pada umumnya terbuat dari bahan-bahan semikonduktor dapat menimbulkan distorsi harmonik pada sistem generator sebagai catu daya listrik. Distorsi dapat menimbulkan masalah pada mutu daya listrik yang akhirnya akan menyebabkan berbagai kerugian dan bahkan kerusakan. Generator listrik akan menghasilkan tegangan/arus berbentuk sinusoida dengan frekuensi 50/60Hz dan disuplai ke beban linier atau non linier. Bentuk gelombang tegangan maupun arus keluaran beban linier akan sama dengan gelombang masukan. Tetapi tidak untuk beban non linier, bentuk gelombang tegangan maupun arus keluaran tidak sama dengan gelombang masukan. Suplai daya ke beban non linier yang mempunyai frekuensi kelipatan bilangan ganjil (150Hz, 250 Hz, 350 Hz, dst) dengan bentuk gelombang yang terdistorsi menjadi non sinoida. Pengujian ini dilakukan dengan cara pengukuran menggunakan Powermeter dan akuisisi data dengan IoT yaitu aplikasi Blynk. Dengan diakuisisi menggunakan Blynk, kita dapat memonitoring hasil pengukuran Tegangan,arus, daya aktif, daya reaktif, daya semu, Power factor ,THD% arus maupun THD% tegangan secara realtime. Setelah data diperoleh kemudian dianalisa berdasarkan standar IEEE No.519 tahun 1992. Hasil penelitian menunjukkan pada beban non linier (LHE 8x15W/220V) akan menimbulkan distorsi harmonik yang ditunjukkan dengan kenaikan THD% I sebesar 32,6% diatas standar yang ditetapkan oleh IEEE, sedangan kan THD%V sebesar 1,4% sesuai dengan standar dari IEEE ≤5%. Adanya harmonik terjadi kenaikan arus sebesar 0,689 A dari kondisi arus normal yang menyebabkan kerugian daya pada generator.
Detecting emotions using a combination of bidirectional encoder representations from transformers embedding and bidirectional long short-term memory Wibawa, Aji Prasetya; Cahyani, Denis Eka; Prasetya, Didik Dwi; Gumilar, Langlang; Nafalski, Andrew
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp7137-7146

Abstract

One of the most difficult topics in natural language understanding (NLU) is emotion detection in text because human emotions are difficult to understand without knowing facial expressions. Because the structure of Indonesian differs from other languages, this study focuses on emotion detection in Indonesian text. The nine experimental scenarios of this study incorporate word embedding (bidirectional encoder representations from transformers (BERT), Word2Vec, and GloVe) and emotion detection models (bidirectional long short-term memory (BiLSTM), LSTM, and convolutional neural network (CNN)). With values of 88.28%, 88.42%, and 89.20% for Commuter Line, Transjakarta, and Commuter Line+Transjakarta, respectively, BERT-BiLSTM generates the highest accuracy on the data. In general, BiLSTM produces the highest accuracy, followed by LSTM, and finally CNN. When it came to word embedding, BERT embedding outperformed Word2Vec and GloVe. In addition, the BERT-BiLSTM model generates the highest precision, recall, and F1-measure values in each data scenario when compared to other models. According to the results of this study, BERT-BiLSTM can enhance the performance of the classification model when compared to previous studies that only used BERT or BiLSTM for emotion detection in Indonesian texts.
Instalasi Pembangkit Listrik Tenaga Surya sebagai Sumber Daya Mandiri untuk Aerator Gumilar, Langlang
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 33, No 1 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v33i1p46-54

Abstract

Di dusun Dukuh Bakulan, Desa Bendowoso, Kecamatan Talun, Kabupaten Blitar terdapat masyarakat ekonomi yang bergerak di bidang tambak ikan. Dalam setiap bulannya tambak ikan tersebut dapat mengeluarkan biaya operasional sekitar 5 juta/bulan di luar gaji para karyawannya. Hasil panen ikan berupa ikan gurami, ikan nila, dan ikan koi setiap tahun juga semakin menurun. Alasannya karena banyak ikan yang mati sebelum waktunya panen atau ikan-ikan tersebut mati pada saat masih kecil. Penyebab ikan-ikan tersebut mati karena air yang di tambak ikan cepat sekali kotor, sehingga kadar oksigennya semakin kecil. Karena alasan tersebut diperlukan instalasi aerator dengan Pembangkit Listrik Tenaga Surya (PLTS) untuk meningkatkan kadar oksigen di tambak ikan tersebut. Aerator berfungsi memasukkan oksigen dan melarutkan oksigen tersebut ke dalam air, sehingga kadar oksigen di tambak ikan meningkat dan tetap terjaga dengan baik. Aerator mendapatkan sumber energi listrik dari pembangkit listrik tenaga surya (PLTS) sebagai suplai daya listrik mandiri. Sumber energi matahari tersedia di alam bebas dan gratis, sehingga pemilik tambak ikan tidak perlu mengeluarkan biaya tambahan untuk sumber energi listrik aerator.
Kinerja Motor Listrik sebagai Penggerak Mesin Penggiling Sampah Organik Gumilar, Langlang
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 32, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v32i2p306-313

Abstract

Terlalu banyak menggunakan pupuk kimia dapat menurunkan kualitas tanah, tidak seimbangnya unsur hara, dan banyaknya organik-organik tanah yang mati. Permasalah ini terjadi pada kelompok tani di Dusun Tawang, Desa Bendosewu, Kecamatan Talun, Kabupaten Blitar. Penurunan hasil panen sudah mereka rasakan akibat terlalu banyak menggunakan pupuk kimia. Untuk memperbaiki kualitas tanah dan mengembalikan keseimbangan unsur hara dapat dilakukan dengan menggunakan pupuk organic. Pupuk organik lebih mudah diproses dan dapat dibuat sendiri oleh kelompok tani. Bahan-bahan dasar untuk pembuatan pupuk organic juga mudah didapat di lingkungan sekitar kelompok tani seperti rumput-rumput atau daun-daun yang sudah kering, sisa-sisa jerami padi yang sudah kering dan sampah organic lainnya. Oleh karena itu dibutuhkan mesin pencacah sampah organik yang dapat membantu mempercepat proses pembuatan pupuk organik. Mesin pencacah sampah organik ini memiliki penggerak motor listrik 1 fasa. Motor listrik lebih efisien dan efektif untuk mesin ini dari pada menggunakan motor bakar. Motor listrik dapat diatur kecepatannya dengan menyesuaikan kebutuhan.
Classification of pediatric pneumonia using ensemble transfer learning convolutional neural network Cahyani, Denis Eka; Hariadi, Anjar Dwi; Setyawan, Faisal Farris; Gumilar, Langlang; Setumin, Samsul
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7825

Abstract

Pneumonia is a condition characterised by the sudden inflammation of lung tissue, which is triggered by microorganisms such as fungi, viruses, and bacteria. Chest X-ray imaging (CXR) can detect pneumonia, but it requires considerable time and medical expertise. Consequently, the objective of this study is to diagnose pneumonia using CXR imaging in order to effectively detect early cases of pneumonitis in children. The study employs the ensemble transfer learning convolutional neural network (ETL-CNN) transfer learning ensemble, which combines multiple CNN transfer learning models. Resnet50-VGG19 and VGG19-Xception are the ETL-CNN models used in this investigation. Comparing ETL-CNN models to CNN transfer learning models such as Resnet50, VGG19, and Xception. Pediatric CXR pneumonia, which consists of a normal and pneumonia image, is the source of these study results. The results of this analysis indicate that Resnet50-VGG19 achieved the highest level of accuracy, 99.14%. Additionally, the Resnet50-VGG19 obtained the highest levels of precision and recall when comparing to other models. Consequently, the conclusion of this study is that the Resnet50-VGG19 model can generate acceptable classification performance for pediatric pneumonia based on CXR. This study improves classification results for performance when compared to earlier studies.
Co-Authors A.N. Afandi Abdullah Iskandar Syah Abdullah Iskandar Syah Achmad Fahrul Aji Achmad Fakhri Achmad Safi’i Achmad Syahrudin Fakhri Achmad, Agil Ziddan Afandi, Arif Ahmad Dhaffa' Nibrosoma Aji Prasetya Wibawa Andriansyah, Muhammad Rizal Anik Nur Handayani Anjar Dwi Hariadi Arie Muazib Arif Afandi Aripriharta - Arum Kusuma Wardhany Asfani, Khoirudin Ayu Puwatiningsih Denis Eka Cahyani Dhiyaurrahman Fakhruddin Didik Dwi Prasetya Dita Anies Munawwaroh Dito Valentino Dityo Kreshna Argeshwara Diva Ayu Lestari Dwi Mukti Asmoro Eka Mistakim Erry Asnarindra Faisal Farris Setyawan Fakhri, Achmad Syahrudin Fakhruddin, Dhiyaurrahman Falah, Moh. Zainul Farah Wardatul Afifah Farrel Candra WA Fitri Zakiyatul Azizah Gilang Indrianto Pramono Gunawan, M. Ricko Hariadi, Anjar Dwi Ihsan, Rifqi Al Ira Kumalasari Irham Fadlika Ivandany, Inov Joumil Aidil Saifuddin Junoh, Ahmad Kadri Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kusumawardana, Arya M Rodhi Faiz M. Cahyo Bagaskoro M. Farrel Akbar Firzatullah Michiko Ryuu Sakura A Mistakim, Eka Moh Zainul Falah Moh. Zainul Falah Moh. Zainul Falah Mohamad Rodhi Faiz Monika, Dezetty Muchamad Wahyu Prasetyo Muhammad Afnan Habibi Muhammad Andriansyah Muhammad Jazuli Shubhi Muhammad Jazuli Shubhi Muhammad Rizal Andriansyah Muhammad Sadidul Itqon Mutiar, Mutiar Muttabik Fathul Lathief Nafalski, Andrew Naizatul Zainul Rofiqi Nikmah, Revalina Nazilatun Nugraha, Agil Zaidan Nur Hidayat, Wahyu Prasetyo, Muhammad Arzu Quota Sias Rafli Amirul Husain Ridho Riski Hadi Ridzki, Imron Riya Mustikasari Rizqi, Muhammad Ihsanul Rodhi Faiz Rumokoy, Steven N. Sahroni, Muhammad As’ad Sakura A, Michiko Ryuu Samat, Ahmad Asri Abd Samsul Setumin Setumin, Samsul Setyawan, Faisal Farris Sias, Quota Alief Siti Sendari Soraya Norma Mustika Sujito - Sujito Sujito Sujito Sujito Syah, Abdullah Iskandar Syamsul Arifin Tran Huy Duy Utomo, Imam Tree WA, Farrel Candra Wahyu Tri Handoko Wahyu Tri Handoko Wicaksono, Ibram Adib Yogi Dwi Mahandi Yuni Rahmawati Yunis Sulistyorini Yunis Sulistyorini, Yunis