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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Paradigma : Journal of Science, Religion and Culture Studies BULETIN OSEANOGRAFI MARINA PRISMA FISIKA Jurnal Sains dan Teknologi El-HARAKAH : Jurnal Budaya Islam Islam Futura Jurnal Fisika Unand Journal of Educational Science and Technology JURNAL NASIONAL TEKNIK ELEKTRO Indonesia Chimica Acta Jurnal Geocelebes Sistemasi: Jurnal Sistem Informasi SAINTIFIK@ : Jurnal Pendidikan MIPA Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JTT (Jurnal Teknologi Terpadu) Jurnal Ilmiah Peuradeun Jurnal Laut Khatulistiwa Al-Hayat: Journal of Islamic Education Elektrika Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Sebatik Chemistry Indonesian Journal of Chemical Research JURNAL PENDIDIKAN TAMBUSAI Japanese Research on Linguistics, Literature, and Culture Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Living Islam: Journal of Islamic Discourses Al-Qalam JIKAP PGSD: Jurnal Ilmiah Ilmu Kependidikan Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan Jambura Journal of Electrical and Electronics Engineering Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Journal of Applied Health Management and Technology Bada'a: Jurnal Ilmiah Pendidikan Dasar Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Profesi Pendidikan Buletin KKN Pendidikan International Journal of Advances in Data and Information Systems Journal of Applied Science, Engineering, Technology, and Education Hanifiya: Jurnal Studi Agama-Agama Computer Science and Information Technologies Jurnal Teknik Industri Terintegrasi (JUTIN) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Community Empowerment jurnal dikdas bantara Journal of Applied Data Sciences PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Dedikasi Bisnis Net : Jurnal Ekonomi dan Bisnis Arsitekno Journal of Community Development Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) MUSHAF: Jurnal Tafsir Berwawasan Keindonesiaan LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Journal of Multidisciplinary Applied Natural Science Journal Peqguruang: Conference Series Al-Ashr : Jurnal Pendidikan dan Pembelajaran Dasar Share: Jurnal Ekonomi dan Keuangan Islam Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) COVIT JITU (Jurnal Ilmiah Teknik Unida) Chemical Engineering Journal Storage (CEJS) Journal of Lex Philosophy (JLP) Volksgeist: Jurnal Ilmu Hukum dan Konstitusi International Journal of Hydrological and Environmental for Sustainability Jurnal Penelitian Ilmu Ushuluddin Jurnal Pengabdian Mandiri JOMPA ABDI: Jurnal Pengabdian Masyarakat Edukasia: Jurnal Pendidikan dan Pembelajaran Journal of Agriculture (JoA) Global Journal Basic Education Jurnal Riset Agama Jurnal Bangun Abdimas Sambulugana Syarah: Jurnal Hukum Islam dan Ekonomi Takwil: Journal of Quran and Hadith Studies Internet of Things and Artificial Intelligence Journal Jurnal Semiotika-Q: Kajian Ilmu al-Quran dan Tafsir Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Economics and Business Journal JUQUTS Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Journal of Vocational Instruction Riset Informasi Kesehatan Jurnal Pengabdian Harapan Ibu (JPHI) Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Jurnal Pendidikan Kimia Unkhair (JPKU) Ininnawa: Jurnal Pengabdian Masyarakat JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Riwayat: Educational Journal of History and Humanities Jurnal Cendekia Mengabdi Berinovasi dan Berkarya Aceh Journal of Electrical Engineering and Technology Infolitika Journal of Data Science Jurnal Keguruan dan Ilmu Pendidikan (JKIP) RESPON Jurnal Ilmiah Mahasiswa Ilmu Komunikasi Al-Balad : Jurnal Hukum Tata Negara dan Politik Islam Oseanologia AGROTEKBIS: Jurnal Ilmu Pertanian PROSIDING SEMINAR NASIONAL DAN INTERNASIONAL HIMPUNAN SARJANA-KESUSASTRAAN INDONESIA Al Iidara Balad : Jurnal Administrasi Negara Jurnal MediaTIK JIMMI: Jurnal Ilmiah Mahasiswa Multidisiplin Interaksi : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal RAUT Jurnal Cendekia Ilmiah Ulil Albab JUKEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Binakes JILS (Journal of Indonesian Legal Studies) Hadara : Journal of Da'wah and Islamic Civilization Agroscript: Journal of Applied Agricultural Sciences
Muliadi
Universitas Iskandar Muda
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The Implementation of Roland Barthes semiotics in Al-Baqarah Verse 143 on the Word of Ummatan Wasathan: Penerapan Semiotika Roland Barthes dalam Surat Al-Baqarah Ayat 143 pada Kata Ummatan Wasathan Awadin, Adi Pratama; Sutardi, Edi; Muliadi, Muliadi
Takwil: Journal of Quran and Hadith Studies Vol. 3 No. 1 (2024): June
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/twl.v3i1.2966

Abstract

Umatan wasathan is a way of forming the character of Muslims which represents various differences in beliefs between religions. Umatan wasathan has an important role in maintaining harmony, peace and tranquility so that a harmonious society can be created amidst differences. In the process of its implementation, the Umatan wasathan makes Muslims not to be excessive, to be in a middle position, not extreme right or left, but to have a moderate character that adorns the personality of every Muslim. This research discusses the Umatan wasathan in the Al-Qur'an surah al-Baqarah verse 143. This research uses a qualitative research type of literature study which is presented descriptively-analytically using Roland Barthes' semiotic approach. The results of the research show that the Wasathan Ummah is a people who have a moderate character which is reflected in the ability to act fairly, be balanced, and be able to implement beneficial values. Muslims are asked to be able to combine two things, namely, piety in the afterlife and worldly life. This research recommends that future researchers examine the future of Indonesian life amidst diversity and religiousity.
Implementasi Principal Component Analysis (PCA) dan Gap Statistic untuk Clustering Kanker Payudara pada Algoritma K-Means Afifa, Ridha; Mazdadi, Muhammad Itqan; Saragih, Triando Hamonangan; Indriani, Fatma; Muliadi, Muliadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4015

Abstract

Breast cancer is one of the most common causes of death worldwide. Data mining can be utilized to detect breast cancer, where information is extracted from data to provide valuable insights. Clustering of breast cancer is conducted to assist medical professionals in grouping the characteristics of each cancer type. However, multicollinearity in breast cancer data can impact clustering results. To address this issue, dimensionality reduction through Principal Component Analysis (PCA) is employed. PCA can effectively handle multicollinearity issues and enhance computational efficiency. Additionally, the K-Means method has limitations in determining the optimal number of clusters. Therefore, the Gap Statistic method is employed to find the optimal K value suitable for breast cancer data. This study compares the evaluation results of the K-Means clustering model, the combined PCA-KMeans clustering model, and the combined PCA-GapStatistic-KMeans clustering model. The findings indicate that the evaluation results for the K-Means model with PCA dimensionality reduction and optimal Gap Statistic K are superior to the K-Means model without dimensionality reduction. The Gap Statistic suggests 2 clusters as the optimal number, with an evaluation result of 1.195513.
Implementation of Copeland Method on Wrapper-Based Feature Selection Using Random Forest For Software Defect Prediction Aryanti, Agustia Kuspita; Herteno, Rudy; Indriani, Fatma; Nugroho, Radityo Adi; Muliadi, Muliadi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/2pgffc67

Abstract

Software Defect Prediction is crucial to ensure software quality. However, high-dimensional data presents significant challenges in predictive modelling, especially identifying the most relevant features to improve model performance. Therefore, efforts are needed to address these issues, and one is to apply feature selection methods. This study introduces a new approach by applying the Copeland ranking method, which aggregates feature weights from multi-wrapper methods, including Recursive Feature Elimination (RFE), Boruta, and Custom Grid Search, using 12 NASA MDP datasets. The study also applies Random Forest classification and evaluates the model using AUC and t-Test. In addition, this study also compares the accuracy and precision values produced by each method. The results consistently show that the Copeland ranking method produces superior results compared to other ranking methods. The average AUC value obtained from the Copeland ranking method is 0.7496, higher than the Majority ranking method with an average AUC of 0.7416 and the Optimal Rank ranking method with an average AUC of 0.7343. These findings confirm that applying the Copeland ranking method in wrapper-based feature selection can enhance classification performance in software defect prediction using Random Forest compared to other ranking methods. The strength of the Copeland method lies in its ability to integrate rankings from various feature selection approaches and identify relevant features. The findings of this research demonstrate the potential of the Copeland ranking method as a reliable tool for ranking features obtained from various wrapper-based feature selection techniques. The implementation of this approach contributes to improved software defect prediction and provides new insights for the development of ranking methods in the future
Dimensionality Reduction Using Principal Component Analysis and Feature Selection Using Genetic Algorithm with Support Vector Machine for Microarray Data Classification Kartini, Dwi; Badali, Rahmat Amin; Muliadi, Muliadi; Nugrahadi, Dodon Turianto; Indriani, Fatma; Saputro, Setyo Wahyu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/mr7x9713

Abstract

DNA microarray is used to analyze gene expression on a large scale simultaneously and plays a critical role in cancer detection. The creation of a DNA microarray starts with RNA isolation from the sample, which is then converted into cDNA and scanned to generate gene expression data. However, the data generated through this process is highly dimensional, which can affect the performance of predictive models for cancer detection. Therefore, dimensionality reduction is required to reduce data complexity. This study aims to analyze the impact of applying Principal Component Analysis (PCA) for dimensionality reduction, Genetic Algorithm (GA) for feature selection, and their combination on microarray data classification using Support Vector Machine (SVM). The datasets used are microarray datasets, including breast cancer, ovarian cancer, and leukemia. The research methodology involves preprocessing, PCA for dimensionality reduction, GA for feature selection, data splitting, SVM classification, and evaluation. Based on the results, the application of PCA dimensionality reduction combined with GA feature selection and SVM classification achieved the best performance compared to other classifications. For the breast cancer dataset, the highest accuracy was 73.33%, recall 0.74, precision 0.75, and F1 score 0.73. For the ovarian cancer dataset, the highest accuracy was 98.68%, recall 0.98, precision 0.99, and F1 score 0.99. For the leukemia dataset, the highest accuracy was 95.45%, recall 0.94, precision 0.97, and F1 score 0.95. It can be concluded that combining PCA for dimensionality reduction with GA for feature selection in microarray classification can simplify the data and improve the accuracy of the SVM classification model. The implications of this study emphasize the effectiveness of applying PCA and GA methods in enhancing the classification performance of microarray data.
Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia Hafizah, Rini; Saragih, Triando Hamonangan; Muliadi, Muliadi; Indriani, Fatma; Mazdadi, Muhammad Itqan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 2 (2025): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i2.81

Abstract

Sentiment analysis on social media is becoming an important approach in understanding public opinion towards an event. Twitter, as a microblogging platform, generates a large amount of data that can be utilized for this analysis. This study aims to evaluate and compare the performance of three classification algorithms, namely Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost), in sentiment analysis related to the Clash of Champions event in Indonesia. To represent the text data, two feature extraction techniques are used, namely Term Frequency-Inverse Document Frequency (TF-IDF) and Bag of Words (BoW). In addition, Synthetic Minority Over-sampling Technique (SMOTE) is applied to handle data imbalance, while model optimization is performed using GridSearchCV. The research dataset consists of 1,000 tweets collected through web scraping, then manually processed and labeled before model training and testing. The results showed that the TF-IDF technique provided superior results compared to BoW. The Random Forest model with TF-IDF achieved the highest accuracy of 91%, while XGBoost with TF-IDF had the highest Area Under the Curve (AUC) of 0.91. The findings confirm that the selection of appropriate feature extraction techniques and algorithms can improve accuracy in sentiment analysis. This study can be applied in public opinion monitoring and data-driven decision-making. Future research can explore word embedding techniques and transformer-based deep learning models to improve semantic understanding and accuracy of sentiment analysis.
Interpretasi Sebaran Lindi di Sekitar TPA Salatiga Kabupaten Sambas Menggunakan Metode Self-Potential Prasetya, Irvan Nur; Putra, Yoga Satria; Muhardi, Muhardi; Muliadi, Muliadi; Perdhana, Radhitya
Jurnal Fisika Unand Vol 11 No 4 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.11.4.523-530.2022

Abstract

Pembuangan sampah secara open dumping telah banyak memberikan dampak negatif bagi lingkungan seperti terkontaminasinya air tanah oleh lindi. Interpretasi sebaran lindi di sekitar TPA Salatiga Kabupaten Sambas telah dilakukan menggunakan metode self-potential. Penelitian ini menerapkan 8 buah lintasan dengan panjang masing-masing 150 m, jarak antar lintasan 10 m, dan jarak antar titik porous pot pada lintasan berjarak 10 m. Pengambilan data nilai potensial di lokasi penelitian dilakukan pada 120 titik pengukuran. Hasil pengukuran diperoleh variasi nilai potensial sebelum dilakukan koreksi sebesar -3,18 mV hingga 5,42 mV. Sedangkan variasi nilai potensial setelah dilakukan koreksi bernilai -7,98 mV hingga 6,36 mV. Sebaran lindi bawah permukaan diduga terakumulasi pada area dengan nilai potensial yang relatif lebih kecil dan bernilai negatif. Hasil interpretasi menunjukkan bahwa sebaran lindi mengalir dari arah barat dan terakumulasi pada arah timur hingga timur laut lokasi penelitian.
Pengaruh Variasi Jenis Bahan Terhadap Pengurangan Taraf Intensitas Bunyi Sandi, Dala Novika; Wahyuni, Dwiria; Nurhasanah, Nurhasanah; Muliadi, Muliadi; Hasanuddin, Hasanuddin; Nurhanisa, Mega
Jurnal Fisika Unand Vol 12 No 3 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.12.3.367-372.2023

Abstract

Acoustic materials such as plastic carpet, gypsum board, styrofoam and plywood can be used to reduce sound intensity. Nevertheless, the existing research has generally focused on single-ingredient studies. In this research, the optimum thickness of each material will be sought based on its efficiency in reducing the sound intensity level. Besides that, the efficiency of various types of materials will also be tested for reducing the level of sound intensity. In this study, a resonator tube was used in making measurements. Acoustic materials used as test materials, both single materials and combined materials, can be placed in the resonator tube. The distance between the sound source and the detector is 30 cm, with the position of the detector right behind the acoustic material. Tests on a single material show that the measured sound intensity level decreases in proportion to the thickness of the acoustic material, with styrofoam has the lowest efficiency. Meanwhile, the combined material that combines plastic carpet material at a frequency of 2000 Hz has an efficiency value that tends to be higher than the combination of materials without carpet with efficiency >30%. However, at a frequency of 1500 Hz, all combined materials have efficiency values that are not significantly different. All models of material combinations are proven to be able to reduce sound intensity levels compared to single materials. Thus, it can be concluded that the combined material has the potential as an efficient acoustic material.
Development of a monitoring book for maternal dental health to prevent the risk of stunting Junaidi, Junaidi; Asio, Asio; Muliadi, Muliadi; Keumala, Cut Ratna; Nurdin, Nurdin
Riset Informasi Kesehatan Vol 13 No 2 (2024): Riset Informasi Kesehatan
Publisher : Sekolah Tinggi Ilmu Kesehatan Harapan Ibu Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30644/rik.v13i2.884

Abstract

Background: Stunting has serious impacts, including impaired brain development leading to reduced intelligence, increased risk of disease, and higher risk of mortality. Stunting can occur during pregnancy due to inadequate nutritional intake, improper dietary patterns, and low-quality food, all of which hinder a child's growth. Efforts to prevent stunting have been implemented since pregnancy, especially during the first 1,000 days of life (HPK). Method: This research uses the Research and Development (R&D) method according to Borg and Gall (2003) with the following stages: 1) Identifying potential problems, 2) Data collection, 3) Product design planning, 4) Product creation, 5) Development: Internal testing. Internal testing involves expert validation to assess the feasibility of the product before it is used by the public, as well as user validation to ensure it is suitable for effectiveness testing in further research. Results: This study shows that the "Monitoring Book for Maternal Dental Health to Prevent the Risk of Stunting" has a very high feasibility level based on expert validation (96%) and respondent validation (86%). Conclusion: The book is considered effective and easy to understand by users. It is highly needed among the community and healthcare workers to raise awareness among pregnant women about the importance of maintaining oral and dental health to prevent the risk of stunting. The book is also considered practical for use as educational material at home.
Analisis Tingkat Keandalan Pada Jaringan Express Feeder SUTM A3CS Sebagai Incoming Baru Fauzi, Fauzi; Subhan, Subhan; Muliadi, Muliadi; Syukri, Syukri; Asyadi, Teuku Murisal; Budi, Arief Setya
Jambura Journal of Electrical and Electronics Engineering Vol 5, No 1 (2023): Januari - Juni 2023
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v5i1.17006

Abstract

Salah satu parameter dalam penyaluran energi listrik adalah mutu dan kehandalan yang harus memenuhi standar. Pada praktiknya, Perusahaan Listrik Negara (PLN) akan terus memperbaiki dan meningkatkan mutu dan kehandalan jaringan listrik guna memberikan pelayanan terbaik bagi setiap pelanggan. Langkah yang diambil salah satunya yang dilakukan oleh Unit Layanan Pelanggan (ULP) Panton Labu, yaitu dengan membangun jaringan baru agar dapat melayani beban yang semakin meningkat. Pembangunan jaringan baru dilakukan supaya dapat memperbaiki tegangan sistem melalui pembagian beban penyulang serta meningkatkan kehandalan dalam mempermudah manuver ketika terjadi gangguan. Kondisi kelistrikan ULP. Panton Labu disuplai dari Gardu Induk (GI) Panton Labu terdiri dari 2 Trafo Daya (TD) yang masing masing berkapasitas 30 MVA. Beban puncak GI. Panton Labu adalah sebesar 14,5 MW untuk TD 1 dan 6,5 MW untuk TD 2. GI. Panton Labu salah satunya mensuplai Gardu Hubung (GH) Panton Labu melalui penyulang PL 05. Namun, sebelumnya hanya terdapat 1 incoming yang masuk ke GH. Panton Labu, padahal pada TD 2 GI. Panton Labu masih terdapat 3 kubikel cadangan (spare) yang belum termanfaatkan dan juga pada kubikel di GH. Panton Labu sudah terdapat couple bus dan 1 kubikel cadangan. Hal ini disebabkan karena belum adanya jaringan express feeder yang menyuplai dari GI. Panton Labu ke GH. Panton Labu sehingga apabila terjadi gangguan pada suplai utama penyulang PL 05 maka akan terjadi padam diseluruh kubikel GH. Panton Labu. Tujuan dari penelitian ini yaitu untuk mendapatkan nilai SAIDI dan SAIFI sebelum dan setelah pembangunan express  feeder SUTM A3CS 3x240 mm2 sebagai incoming baru. Hasilnya, Mutu tegangan pada GH Panton Labu sebelumnya sebesar 20,4 kVterjadi perbaikan menjadi 20,7 kV. Rekonfigurasi express feeder SUTM 3x240 mm2 sebagai incoming baru dapat mengurangi durasi padam dengan indeks keandalan rata rata nilai SAIDI pada ULP. Panton Labu turun dari 12,558 menit/pelanggan menjadi 6,205 menit/pelanggan. One of the parameters in the distribution of electrical energy is the quality and reliability that must meet the standards. In practice, the State Electricity Company (PLN) will continue to improve and increase the quality and reliability of the electricity network to provide the best service for each customer. One of the steps the Panton Labu Customer Service Unit (ULP) takes is to build a new network to serve the increasing load. The construction of a new network is carried out to improve the system voltage by sharing the feeder load and increasing reliability in facilitating maneuvers when disturbances occur. ULP electrical conditions. Panton Pumpkin is supplied from the Panton Pumpkin Substation (GI) consisting of 2 Power Transformers (TD), each with a capacity of 30 MVA. GI peak load. Panton Pumpkin is 14.5 MW for TD 1 and 6.5 MW for TD 2. GI. One is Panton Labu supplying the Panton Labu Switching Station (GH) via a PL 05 feeder. However, previously there was only 1 incoming to GH. Panton Pumpkin, even though at TD 2 GI. Panton Pumpkin still has 3 spare cubicles that have not been utilized and also in cubicles at GH. Panton Pumpkin already has a couple of buses and 1 extra cubicle. This is because there is no express feeder network that supplies from GI. Panton Pumpkin to GH. Panton Pumpkin so that if there is a disturbance to the main supply of the PL 05 feeder, there will be blackouts throughout the GH cubicles. Pumpkin Pantone. The purpose of this study is to obtain SAIDI and SAIFI values before and after the construction of the A3CS A3CS 3x240 mm2 express feeder as a new incoming. As a result, the voltage quality at the previous Panton Pumpkin GH was 20.4 kV, an improvement became 20.7 kV. Reconfiguring the SUTM 3x240 mm2 express feeder as a new incoming can reduce the blackout duration with the reliability index of the average SAIDI value on the ULP. Panton Pumpkin decreased from 12,558 minutes/subscriber to 6,205 minutes/subscriber..
ANALISA PERHITUNGAN SUSUT TEKNIS DI PT. PLN (PERSERO) RAYON SINGKIL Syukri, Syukri; Muliadi, Muliadi; Akbar, Ali
Elektrika Vol. 16 No. 1 (2024): April 2024
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v16i1.8854

Abstract

ABSTRACTPT. PLN (Persero) Rayon Singkil is working hard to carry out activities to reduce energy losses in the distribution network. There are two types of energy losses in the distribution network, namely technical losses and non-technical losses. This study of technical losses in Singkil rayon is discussed by approaching distribution asset data and load conditions using the Microsoft Excel program so that all data can be processed. Calculation of JTM losses, transformer losses, JTR losses, SR and APP losses. So the results obtained in Singkil Rayon with 4 feeders, namely in January 2023 were 10.4% with a composition of technical losses of 7.7% and non-technical losses of 2.7%, in February 2023 distribution losses were 8.6% with a technical loss composition of 7.8% and non-technical loss of 0.8%. Based on the calculation results, it makes it easier for PT. PLN (Persero) Rayon Singkil in analyzing and evaluating efforts that can be made to reduce distribution losses so that they become more efficient.                                                                                                 Keywords: Distribution system, Electrical energy, Energy losses, Technical losses, Non-technical losses. ABSTRAKPT. PLN (Persero) Rayon Singkil sedang berupaya keras melaksanakan kegiatan-kegiatan dalam hal penekanan susut energi pada jaringan distribusi. Susut energi pada jaringan distribusi ada dua yaitu susut teknis dan susut non teknis. Kajian mengenai susut teknis pada rayon singkil ini dibahas dengan cara pendekatan data aset distribusi dan kondisi beban dengan menggunakan program Microsoft Excel sehingga semua data dapat diproses. Perhitungan susut JTM, sussut trafo, susut JTR, susut SR dan APP. Maka hasil yang didapatkan pada Rayon Singkil dengan 4 penyulang yaitu pada bulan Januari 2023 sebesar 10,4 % dengan komposisi susut teknis sebesar 7,7 % dan susut non teknis sebesar 2,7 %, pada bulan Februari 2023 susut distribusi sebesar 8,6 % dengan komposisi susut teknis sebesar 7,8 % dan susut non teknis sebesar 0,8 %. Berdasrkan hasil perhitungan memudahkan PT. PLN (Persero) Rayon Singkil dalam menganalisa dan mengevaluasi terhadap upaya yang dapat dilakukan untuk menurunkan susut distribusi sehingga menjadi lebih efisien.
Co-Authors . Apriansyah .B, Sunarti A. Kushadiwijayanto, Arie A.Nurrahman, Yusuf Abbas Baco Miro Abd, Misswar Abd. Kadir Abdal, Nurul Mukhlisah Abdilah, Muhammad Fariz Fata Abdul Aziz Abdul Hafid Abdul Haris Watoni Abdul Majid Abdul Rahman Abdul Rasyid Abdurahman Abdurrahman Abdurahman, Uray Muchlis Adawiah, Putri Rabiatul Ade Irawan, Muhammad Adelia Liemansyaputri , Maudy Adha, Zuhra Adiba, Fhatiah affrian, reno Afifa, Ridha Afrin, Rezuana Agus Fardesi Agus Perdana Windarto Agus Salim Agus Wahyudi Agustina, Sella Ahdan, Ahdan Ahmad Ahmad Ahmad Muchsin Jayali Ahmad Sholeh Ahmad Srinaldi Ahmad Watsiq Maula Ahmad Zulfan, Ahmad Ahmar, Ansari Saleh Ahmed, Ahmed Aida Silfia Aiman Abu Khair Ainun Mardiah Akbal, Fatimah Akbar Iskandar Al Ghifari, Faishal Alamudin, Muhammad Faiq Alfando, Muhammad Alvin Alfany, Chalida Alfiati, Helmi Ali Akbar Alkhairi, Putrama Almas, Almas Alyah, Nurul Amelia, Rezi Amin, Kasma F. Amin, Nurtaqwa Amir Machmud, Amir Amna, Nurlaila Amrina Yusra Andi Farmadi Andi Ihwan Andriani, Cut Yessi Anggraini, Indah Annisa Annisa Annisa, Cindy Fatika Nur Annisa, Dira Ayu Anshari, Muhammad Ridha Anton Widyanto Apriliansyah, Feby Arafat, Muhammad Yasser Arafat, Pratitou Arianto Arianto Arif Saputra, Arif Arifin, Afrisal Arifin, Jamaluddin Arista, Alfina Dian Arpandi, Arpandi Ary Antony Putra, Ary Antony Aryanti, Agustia Kuspita Ashari, Hilda Asio Asio, Asio Aslinda, Aslinda Asni Asni Assaad, A. Istiqlal Asyadi, Teuku Murisal Athavale, Vijay Anant Athavale, Vijay Annant Aulia Nanda, Hafidz Aulia, Ivan Awadin, Adi Pratama Awalia , Reski Ayuni, Nurul Alifa Azkar, Nurul Azmi, Khusnul Ulul B, Rosleny B, Syamsul Badali, Rahmat Amin Badarudin Bahaking Rama Bahar, Muhammad Mahdinul Bara, Unsi Andal Basimin, Mudzuna Quraisyah Baso, Fadhlirrahman Baturante, Nur Jannah Bayu Rangga Julian Bedjo Santoso Kadri Berlin, Wisnu Sanjaya bin Mahsyar, Ahmad Dhiyaul Haq Boy, Hendry Budi, Arief Setya Bukhari Bukhari Busro, B. Caesary MP , Nurfadillah Cahya Wulandari Cecep Edi Hidayat Cendana, Adji Saputra Choiriyah Widyasari Cut Daili Dahlawy, Arriz Daili, Cut Dede Puspa Pujia Dedi Iskandar Dewi Fatmarani Surianto Dillah, Salsa Dimas Chaerul Ekty Saputra Djalal Fuadi Dodon Turianto Nugrahadi Dwi Kartini, Dwi Dwi Wulan Sari Dwiria Wahyuni Dyah. P, RR. Ratnasari Eddy Kurniawan Ediwan, Ediwan Edy Sofyan, Edy Eka Prasetia Hati Baculu, Eka Eliana, Nur Erwina Erwina, Erwina Eva, Theresia F. Amin, Kasma Fadillah, M. Surya Fahrezy, Irgy Ahmad Fahrul Rozi Farid Husni Husni Fatiha , Nurul Fatma Indriani Fauzi Fauzi Fauzi Fauzi Febrianti, Sri Fiansi, Fiansi Firdaus Firdaus Firman Firman Firmansyah, Aidil Firwan Moesnadi Fitri S Kasim Fitriani S.B Friska Abadi Fuad Ansyari*, Ahmad Gazi, Sydur Rahman Gojali, muhtar Gunawan, Khairol Guntara, Erda Hadawiah, Hadawiah Hadi, Rizal Hadis, Muhammad Sabirin Hafizah, Rini Hafsyaridewi, Hafsyaridewi Hakkun Elmunsyah Halik, Idham Halimah Halimah Hanapi, Hariani Hardi Hardi, Hardi Haritani, Hartini Haritani - Harun Joko Prayitno Hasanuddin Hasanuddin Havna, Havna Helena, Shifa Herteno, Rudy Hidayah, M. Fariq Hizir Sofyan Humaira B, Nurul Isra Husaini Husen, La Ode Ibrahim, Muh. Rayes Idawati, Nora Idham Halid Idul Adnan Iistika, Iistika Ikha Safitri Irfana Diah Faryuni Irfandi Irfandi, Irfandi Irwan Budiman Irwan Nurdiansyah, Sy. ISLAMIYAH, NUR Isnandar Isrori, Indah Nahdiat Jais, Ahmad Jamal Aswijar Joko Sampurno Jumadi Mabe Parenreng Jumarang, Muh Ishak JUMARDI Junaidi Junaidi Junaidi Kamal, Saiful Kandowangko, Alviona Karmala, Karmala Kasmawan, Kasmawan Keumala, Cut Ratna Khairul, Moh Khofifah, A Sri Kholik Prasojo Khotimah, Yulia Azmi Komara, Osfir Candikia Rara Kruba, Rumaisa Kurniawan, Moh Rizky Kushadiwijayanto, Arie Antasari Kushadiwiojayanto, Arie Antasari Kuswana, Dadang La Ode Reskiaddin Landu, Anti Latifa, Latifa Lestari, Putri Riya Lia, Resky Amalia Liestianty, Deasy Linasari, Linasari M. Choiroel Anwar M. Khairul Rezki Mahalla, Mahalla Mahalla, Mahalla Mahmuddin Marbun Maimun Maimun Maisa Maisa, Maisa Majid , Abd Majid, Abd. Malik, Muh Nasir Mangesa, Riana T Mansyur Mansyur Mardalena, Selvi Mardiana Mardiana Marlinda Marlinda Martunis - Marwan, T Masdar Djamaluddin Masrukhi Masrukhi Massuro, Lusyndatul MAULA, PUTRINDA INAYATUL Maulana, Agung Lan Maulani Maulani, Maulani Maulidiyah Maulidiyah Mawaddah, Siti Afifah Md. Hossain Khan, Abu Abdulla Al-Mamun Mega Nurhanisa Miftahul Jannah Miharja, Muhammad Hidayat Jaya Minsas, Sukal Mislaini Mislaini Muh Nasrullah, Muh Muh. Edihar Muh. Ishak Jumarang Muhammad Alkaff Muhammad Amin Muhammad Arif Muhammad Fauzi Muhammad Idris Muhammad Ilham Muhammad Itqan Mazdadi Muhammad Jabal Nur, Muhammad Jabal Muhammad Maulana Muhammad Mursyidan Amini Muhammad Nurdin Muhammad Raudhi Azmi Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Pahlevi Muhammad Zakir Muhammad Zuhdi Muhardi Muhardi Muhardi Muhlas Muhlas, Muhlas Muin, Nurmiah Mujahidah Mujahidah Mujibul Ikhsan Mulkan, Andi Mulyadi Mulyadi Munandar, Tri Imam Muslimin, Abdul Azis Mustafa, Linda Kurnia Muttaqin Mustari , Andi Muzakkar, Muhammad Zakir Muzdalifa, Eccy Sitti N. Nazaruddin Naan, Naan Nasruddin Nasruddin Nazaruddin, Nazaruddin Noorhafizi, Muhammad Nur Afnih, Dwi Nuraeni Nuraeni Nuraini - - nuramalia, Tri Nurcahyati, Ica Nurdiansyah Nurdiansyah Nurdiansyah, Syarif Irwan Nurdin Nurdin Nurfadillah Nurfadillah Nurfatimah Sugrah Nurhasanah Nurhasanah Nurinsan , Muh. Rifky NURLIANA NURLIANA Nurmawaddah , Nurmawaddah Nurmiani, Nurmiani Nurul Hikmah Nurul Islam NURZAENAB, NURZAENAB Nuzulul, Ririn Chintia Okto Ivansyah Padlurrahman, Padlurrahman Patola, Basri Perdana, Radhitya Perdhana, Radhitya Prasetya, Irvan Nur Pratama, Farhan Pratiwi, Elok Surya Pratiwi, Nabella Dwi Prayitno, Dwi Imam prayoga, Akbar Pristi, Eka Destriyanto Purnomowati, RR Ratnasari Dyah Putri, Adelia Kurnia Putri, Andini Aurelia Putri, Ulayya Putri, Wanda Muliandira Rabiah, Sitti Raden Mohamad Herdian Bhakti Raditya, Virgi Atha Radityo Adi Nugroho Rahim, Rahim Rahman , Abdul Rahmat Rahmat Rahmi Dewanti Palangkey Rajai, Afdhalul Ramadansyah, Agung Ramadeska, Siti Ramadhan, Aldy Ramadhan, Maidy Ramadhan, Mita Azzahra Ramadhan, Rafsanjani Ramadhani, Indri Pratiwi Ramli, Ahmad Rasmi Rasmi, Rasmi Reca Reca Reskika, Sari Rezki Pratama Putra , Andi Rezky Anisar, Muh. Alief Riana Nurmalasari Ribuan, Ribuan Ridwan Arifin Ridwan, M. Arif Rifai, Riski Thamrin G. Riska, Muhammad Risko, Risko Risnayanti, Risnayanti Riyan Maulana Riza Adriat Rizal, Agus Rizki Afriadi Rizky, Muhammad Miftahur Rohmah, Nanda Dwi Rohman Rohman Rohman, Hizqil Fadl Rosmalah Rosmalah, Rosmalah Rozanna Dewi Rozaq, Hasri Akbar Awal Rozaq, Hasri Awal Akbar Rudi, David Rudy Herteno Rukayah Rukayah Rukhayati, Rukhayati Ruslan Ruslan Rusliana, Iu S.J Sofiana, Mega Sabir, Achmad Safitri, Desti Suci Saharuddin, Yusliani Sahdan, Putri Said, Rusli Saktia Fitri, Rati Saleh, Ramlah Salsabila Nurul Imam, Jahira Samsuria, Samsuria Sandi, Dala Novika Saputra, Irka Saputro, Setyo Wahyu Saragih, Triando Hamonangan Sari, Anggi Novita Sasmita, Novi Reandy Satriani D H, Satriani D H Satriani Satriani Seppa, Yusi Irensi Shamim Al Mamun, Shamim Al Siti Suwadah Rimang, Siti Suwadah Sitti Jauhar Sitti Jauhar, Sitti Solihin, Muhtar Solikhun Solikhun, Solikhun St. Jauhar, St. Jauhar Suara, M. Teguh Jaka Satya Samudra Jati Subarsyah Subarsyah Subhan Subhan Subhan Subhan Sudarto Sudarto Sudarto Sudirman Suhada, Ade Anang Suhartono Sujarwan, Fahrul Sukarsih Sukarsih, Sukarsih Sulhatun Sulhatun Sulistina, Sulistina surayah, surayah Sutardi, Edi Syaadah, Himatus Syahrial Ayub, Syahrial Syahrul Syahrul syamsidar syamsidar Syamsuddin Syamsuddin Syamsul Hadi Syarafina, Risky Haezah Syukri Syukri Syukri Syukri Syukri Syukri Syukri Tasya Putri Nurhayat Taufiq, Wildan Taufiq, Wildan Tazkiyatunnafs Elhawwa Teuku Mahmuda Rahmat Rezki Teuku Multazam Teuku Rizky Noviandy Teuku Sufriadi Ramadhani Teuku Zulfadli Thaha, Abd Rahim Tonengan, Margaretha Trisnadi, Yogi Septia Ulfa, Fitratul Ulpa, Mirnawati Ulya, Azizatul Usman, Harlina Utami, Reksi Wahyu Hidayat M Wahyudi AR, Nirwan Wahyuni , Maya Sari Warsidah, Warsidah Wasik, Abdul Widarda, Dodo Widiantoro, Aldy Wiguna , Anggri Sartika Windiahsari, Windiahsari Wulandari, elysa Yahya Yahya Yanny, Yanny Yarmaliza YILDIZ, Oktay Yoga Satria Putra Yudistira, Saptanadi Yunizar, Muhammad Yuris Sutanto Yusuf Arief Nurrahman Zahirah, Putri Zahriah, Zahriah Zaidah, Nurul Zainuri, Hamzah Zelfia Zulfian Zulfian Zulfikri Zulfikri, Zulfikri Zulnazri, Z `B Aritonang, Anthoni