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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Mantik Tematik : Jurnal Teknologi Informasi Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Kajian Ilmiah Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat IICS Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Abdimas Ekonomi Dan Bisnis (JAMEB) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Sistim Informasi dan Teknologi Jurnal Pengabdian Pelitabangsa International Journal of Information Technology and Computer Science Applications (IJITCSA) Jurnal Sistem Informasi Indonesian Journal of Education And Computer Science Jurnal Inovasi dan Pengembangan Hasil Pengabdian Masyarakat VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Journal of Computer Science Contributions (Jucosco) The Indonesian Journal of Computer Science Journal of Informatics and Information Security
Priatna , Wowon
Informatika, Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Perancangan Dan Implementasi Sistem Monitoring Arus Listrik Berbasis Iot Dengan Algoritma Moving Average Dan Thingspeak Dimas Abimanyu Prasetyo; Joni Warta; Wowon Priatna
Indonesian Journal of Education And Computer Science Vol. 3 No. 2 (2025): INDOTECH - August 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v3i2.1416

Abstract

Berdasarkan data PLN, gangguan kelistrikan di wilayah perumahan meningkat sebesar 12%, sementara pembelian energi oleh pembangkit listrik naik sebesar 6% dibandingkan tahun sebelumnya. Sebagian besar gangguan disebabkan oleh ketidakstabilan arus listrik serta penggunaan peralatan rumah tangga secara bersamaan tanpa manajemen beban memadai. Pada tahun 2024, tingkat susut energi tercatat 8,55%, terdiri atas susut transmisi 2,03% dan susut distribusi 6,65%, menunjukkan bahwa pengelolaan energi yang efisien masih menjadi tantangan. Tujuan penelitian ini adalah merancang sistem yang mampu mendeteksi dan memantau faktor daya secara real-time, mengukur dan mencatat nilai energi listrik secara akurat dan real-time, serta merancang platform berbasis IoT untuk monitoring arus listrik. Penelitian dilakukan di lingkungan rumah tangga nyata, dengan penyesuaian lokasi dan waktu untuk mendukung proses pengambilan data. Hasil menunjukkan sistem berhasil mengirimkan data arus, daya, dan energi dengan interval 15 detik. Sensor PZEM-004T menunjukkan akurasi tinggi. Metode Simple Moving Average (SMA) juga memberikan hasil akurat dalam menghitung total daya. Sistem IoT yang dirancang mampu memantau penurunan faktor daya secara real-time serta mencatat energi yang digunakan. Melalui platform ThingSpeak, sistem menyediakan informasi arus listrik yang berguna bagi pengguna rumah tangga untuk mengelola konsumsi energi secara efisien.
Deteksi Anomali dalam Penipuan E-commerce Menggunakan Hybrid Autoencoder-Transformer Frameworks Priatna, Wowon; Prasetyo, Sri Yulianto Joko; Wijono, Sutarto; Maria, Evi; Manongga, Danny
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 1 (2025): Volume 11 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i1.82330

Abstract

Peningkatan e-commerce telah menyebabkan peningkatan aktivitas penipuan, seperti pencurian identitas dan transaksi palsu, yang menimbulkan risiko signifikan terhadap keamanan transaksi online. Penelitian ini mengusulkan kerangka kerja hybrid yang menggabungkan Autoencoder (AE) untuk reduksi dimensi dan representasi laten data, serta Transformer untuk menangkap ketergantungan global dan lokal melalui mekanisme self-attention. Pendekatan ini dirancang untuk mengatasi keterbatasan metode tradisional dalam mendeteksi pola data kompleks dan meningkatkan kinerja deteksi anomali. Evaluasi menggunakan dataset transaksi e-commerce menunjukkan bahwa Hybrid AE-Transformer mencapai akurasi sebesar 95,2%, precision sebesar 89,0%, recall sebesar 74,0%, F1 score sebesar 80,0%, dan AUC sebesar 82,0%. Model ini menunjukkan peningkatan precision sebesar 12,0%, recall sebesar 7,0%, F1 score sebesar 8,0%, dan AUC sebesar 1,0% dibandingkan model terbaik lainnya seperti Ensemble. Validasi statistik melalui Uji Friedman dan Uji T-Test mengonfirmasi bahwa Hybrid AE-Transformer secara signifikan mengungguli model konvensional seperti DNN, LSTM, dan RNN dalam mendeteksi anomali pada transaksi e-commerce.
Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh Priatna, Wowon; Purnomo , Rakhmat; Putra , Tri Dharma
Jurnal Kajian Ilmiah Vol. 21 No. 3 (2021): September 2021
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.294 KB) | DOI: 10.31599/jki.v21i3.521

Abstract

The purpose of this study is to recommend e-learning applications that are appropriate for use in online learning in college environments. The large number of e-learning platforms used by lecturers for online lecture activities results in students being forced to use several e-learning applications depending on the lecturer who teaches the courses taken, for the university also finally gives lecturers policies for distance learning reports each finished giving the material. In this study the data collection method began by taking data from the faculty to find out which e-learning applications were widely used by lecturers, then distributing questionnaires to students and lecturers who used the e-learning application to measure the e-leaning application with the e-learning criteria. Appropriate. The data is then processed into a dataset. The algorithm used in implementing deep learning is Artificial Neural Network (ANN). For the implementation of ANN, 27 variables were determined from the e-learning criteria and 1 target. In this ANN stage, prediction was used with classifications based on preparation, training, learning, evaluation and prediction using the python programming. The results obtained in this study that the Moodle application gets the highest score with an accuracy of 97% to be used as a recommendation for e-learning applications that are appropriate for universities to conduct online lectures.
Pelatihan Talents Mapping Pada Guru-Guru SMK Negeri 11 Bekasi Priatna, Wowon; Purnomo, Rakhmat; Fadjriya, Andry; Kustanto, Prio
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 1 (2022): Januari 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/27aesk67

Abstract

Talents Mapping is an application tool for recognizing one's talents based on 34 talent themes adopted from Gallup's research, so that someone can also find out their personal strength and typology's strength. Talend mapping training is motivated by a request from the leadership of SMK Negeri 11 Bekasi so that teachers can get to know their respective talents so that in teaching and educating students more optimally and teachers after receiving this activity can teach back to their students. This training begins by recording teachers' emails to create a classroom account to ask preliminary aptitude test questions and share material. The training was conducted at the Computer Lab of SMK Negeri 11 on 12 July 2020 with 46 teachers participating. The results of the training for teachers using the lecture method, filling out the instruments, and comments from resource persons. The teachers fill in the questions about themselves at www.temubakat.com, then the answers are mapped using talents mapping to find out the potential talents of each teacher.
Penerapan Aplikasi Pelayanan Desa untuk Implementasi Smart Village di Desa Mangunjaya Mayadi, Mayadi; Priatna, Wowon; Setiawati, Siti
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ja811v22

Abstract

Desa Mangunjaya , which is located at Jalan Pendidikan 1 No.13 Mangunjaya, South Tambun District, Bekasi, West Java 17510, is still developing information technology. This village in conveying information is still done manually so that the potential of the village is less published, with that the village community still has difficulty receiving information from the village government and conveying various suggestions and aspirations of the community. In conveying information it is still done manually so that the potential of the village is not published. The problem faced by Mangunjaya village is that the community has difficulty in getting information and complaints in conveying aspirations to the village. The making of certificates is still carried out by the community directly to village officials. The goal in this PKM is to implement a smart village to make the village digitized by designing the Village Service application to make it easier to submit letters from villagers. The method in Community Service is to design an application and conduct socialization for the use of the Application to the community, RT, RW and Village Officials. The result of this PKM is that the Village service application to support Smart Village can be used and training has been carried out for using the Application.
Co-Authors -, Rasim ., Rasim Ade Iriani Adi Setiawan Agung Nugroho Agung Nugroho Agus Hidayat Agus Hidayat Aida Fitriyani, Aida Ajif Yunizar Pratama Yusuf Alexander, Allan D Alhillah, Yumaris Alfi Andi Lawrence Hutahaean, Johanes Andi Rahman Andri Fajriya Annisa Oktavianti Hermadi Aprilyana, Dhea Putri Asep R. Hamdani Asep Ramdhani M Asep Ramdhani Mahbub Atika , Prima Dina Danny Manongga Dimas Abimanyu Prasetyo Dwi Budi Srisulistiowati Dwipa Handayani Eka Nur A’ini Endang Retnoningsih Enggar Putera, dkk, Diaz Evi Maria Fadjriya, Andry Faisal Adi Saputra Fajar Mukharom Fathurrazi, Ahmad Febry Sandrian Sagala Fefbiansyah Hasibuan Galih Apriansha Pradana Hadi Kusmara Hamdani, Asep R. Hendarman Lubis Herlawati Herlawati Hindriyanto Dwi Purnomo Ikhsan Romli Ilham Rizky Widianto Irwan Sembiring Ismaniah, Ismaniah Iwan Setyawan Joni Warta Joni Warta Joniwarta Joniwarta Jumi Saroh Hidayat Kapriadi, Engkap Karyaningsih, Dentik Khoirunnisaa, Nabiilah Kustanto , Prio Lestari, Tyastuti Sri Lubis, Hendarman M. Fadhli Nursal Mahbub, Asep Ramdhani Mayadi Mayadi Mayadi, Mayadi Meutia, Kardinah Indrianna Mugiarso Mugiarso, Mugiarso Muhammad Khaerudin Noe’man,, Achmad Nurjeli Nurjeli Pradana , Galih Apriansha Prima Dina Atika Purnomo , Rakhmat Purnomo, Rakhmat Purnomo, Rakhmat Putra , Tri Dharma Rahmadya Trias Handayanto Rakhmat Purnomo Rasim Rejeki , Sri Retnoningsih , Endang Rinaldi Tunnisia Ritzkal, Ritzkal Sagala, Febry Sandrian Saputra , Faisal Adi Silvi - Siti Setiawati SITI SETIAWATI Siti Setiawati Siti Setiawati, Andika Yusuf Hidayat Sri Lestari, Tyastuti Sri Rejeki Sri Yulianto Joko Prasetyo Sudiantini, Dian Sulistiyo, Dwi Suryadi Sutarto Wijono Syahbaniar Rofiah Tb Ai Munandar, Tb Ai Theopillus J. H. Wellem Tri Dharma Putra Tri Dharma Putra Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Widianto, Ilham Rizky Wiyanto Wiyanto