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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 ABDIMAS (Pengabdian kepada Masyarakat) UBJ 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 Jurnal Komtika (Komputasi dan Informatika)
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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Dampak Pengambilan Sampel Data untuk Optimalisasi Data tidak seimbang pada Klasifikasi Penipuan Transaksi E-Commerce Priatna, Wowon
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3698

Abstract

Tujuan dari penelitian ini adalah untuk mengatasi masalah pengklasifikasian dan prediksi data yang tidak seimbang terkait dengan kondisi transaksi E-Commerce. Menjamurnya transaksi e-commerce menimbulkan potensi permasalahan: penipuan dalam pembelian e-commerce. Kasus penipuan e-niaga terus meningkat setiap tahun sejak tahun 1993. Menurut survei tahun 2013, untuk setiap $100 transaksi e-niaga, terdapat kerugian sebesar 5,65 sen akibat penipuan. Mendeteksi penipuan merupakan pendekatan yang efektif untuk meminimalkan terjadinya aktivitas penipuan dalam transaksi e-commerce. Pembelajaran menjadi metode yang semakin dapat diandalkan untuk memprediksi keadaan. Tidak adanya keseimbangan antara data yang curang dan tidak curang mengakibatkan klasifikasi menjadi bias. Algoritma SMOTE diperlukan untuk mencapai keseimbangan data. Selanjutnya peristiwa transaksi akan diklasifikasikan menggunakan algoritma Support Vector Machine, K-Nearest Neighbor, Naive Bayes, dan C45, dengan mempertimbangkan hasil penyeimbangan data. Di antara algoritma SVM, KNN, dan C45, metode Naive Bayes menunjukkan nilai akurasi tertinggi. Oleh karena itu, disarankan untuk menggunakan teknik ini untuk tujuan mengidentifikasi kondisi e-commerce
Penguatan Infrastruktur Digital Desa Melalui Penerapan Jaringan RT/RW-Net Dan Pelatihan Pemanfaatan Aplikasi Smart Village Wowon Priatna; Tyastuti Sri Lestari; Rasim
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 9 No. 1 (2026): January - May 2026
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/57zv7x35

Abstract

The digital transformation of rural areas has become a national priority to improve public service efficiency and strengthen technology-based village governance. This community service program aimed to enhance the digital infrastructure of Neglasari Village, Darmaraja District, Sumedang Regency, through the implementation of an RT/RW-Net network and training on the utilization of a Smart Village application. The program involved the deployment of RT/RW-Net as the village’s digital backbone, the development of a web-based Smart Village application using the PHP Laravel framework and MySQL database, and structured training sessions for village officials, administrators, operators, and residents. The training adopted participatory and hands-on methods covering network configuration and maintenance, operation of digital administrative services such as online letter requests and complaint management, and integration of population data.The results indicate that the RT/RW-Net infrastructure operated reliably and supported the optimal performance of the Smart Village application. Training activities significantly improved the technical capacity of village officials and operators, enabling independent management of the network and application. Residents also began utilizing digital services for administrative needs, complaints, and access to population information, leading to more efficient, effective, and transparent public services. This initiative demonstrates that the integration of localized digital infrastructure and practice-oriented capacity building can serve as a sustainable and scalable model for accelerating digital transformation in rural communities. Future development should focus on expanding application features, strengthening digital literacy, and promoting data-driven village governance.
Digitalisasi Layanan Administrasi Dan Manajemen BUMDes Melalui Aplikasi Smart Village Di Desa Neglasari Kabupaten Sumedang Tyastuti Sri Lestari; Ismaniah Ismaniah; Wowon Priatna; Rasim Rasim
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 9 No. 2 (2026): Juni - Desember 2026
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/0p1bj514

Abstract

Village digitalization is needed not only to simplify administrative services but also to support more accountable management of Village-Owned Enterprises (BUMDes). In Neglasari Village, Sumedang Regency, several administrative services and BUMDes records were still handled manually, which affected service time, data accuracy, and business reporting. This community service program aimed to assist the village in applying a web-based Smart Village application to support digital administration and BUMDes management. The program was carried out through socialization, hands-on training, system implementation, mentoring, and evaluation involving village officers, BUMDes managers, and local MSME actors. The application provides features for online letter requests, population data management, transaction recording, business reporting, and digital promotion of village products. The implementation showed practical benefits for village services and business governance. Administrative service time decreased from 15–20 minutes to 5–7 minutes per request, while recording errors were reduced through more structured digital data management. The system also helped BUMDes managers monitor transactions and prepare business reports more easily. In addition, the training improved participants’ understanding of the system, with an average score of 4.3 out of 5. These results indicate that the Smart Village application can support the digitalization of village administration and strengthen BUMDes management in Neglasari Village
Clustering and Sales Prediction Using K-Means and Simple Linear Regression Tia Aulia; Wowon Priatna; Muhammad Yasir
International Journal of Information Technology and Computer Science Applications Vol. 4 No. 2 (2026): May - August 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v4i2.209

Abstract

CV. Cipta Usaha Selaras faces challenges in identifying customer purchasing patterns and accurately projecting sales values. The importance of this research lies in the company’s need for data-driven marketing strategies and efficient operational planning. This study employs the K-Means algorithm to cluster customers based on purchase frequency and total transaction value, as well as Simple Linear Regression to predict total purchases based on transaction frequency. The data analyzed consists of 358 sales transaction entries from the year 2024. The clustering results reveal three customer segments with distinct characteristics, with a Silhouette Score of 0.7913, indicating good segmentation quality. The regression model produced an equation with a coefficient of determination (R²) of 0.6910, a MAE of IDR 213 million, and a MSE of IDR 206 trillion. These results indicate that the applied approach provides a reasonably representative overview of customer purchasing behavior. This research offers a significant contribution to data-driven decision-making within the company, particularly in the development of marketing strategies and estimation of potential revenue.
Comparison of Naïve Bayes and K-Nearest Neighbor for Iphone 16 Youtube Sentiment Anisya Wulandari; Wowon Priatna; Muhammad Yasir
International Journal of Information Technology and Computer Science Applications Vol. 4 No. 2 (2026): May - August 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v4i2.210

Abstract

Sentiment analysis plays an important role in understanding public opinion toward technological products, particularly in the context of social media such as YouTube. This study aims to analyze the sentiment of user comments on an iPhone 16 review video published by the GadgetIn YouTube channel, as well as to compare the performance of the Naïve Bayes and K-Nearest Neighbor classification algorithms. The data were collected through a crawling process, resulting in 2,499 comments, which were then split into training data 80% and testing data 20%. The methodology includes text cleaning, tokenization, normalization, and term weighting using the TF-IDF method. The experimental results show that the Naïve Bayes algorithm achieved an accuracy of 73%, with precision, recall, and F1-score each reaching 72%, outperforming KNN, which only achieved 65% accuracy. Most comments were neutral; positive comments generally focused on design and performance, while negative comments mainly highlighted price and comparisons with other products. These findings indicate that the Naïve Bayes algorithm is more suitable for sentiment analysis of unstructured YouTube comment data.
SISTEM PENDETEKSI NILAI PH DAN TEMPERATUR AIR SUMUR DI DAERAH KP RAWA MENGGUNAKAN METODE SAW BERBASIS IOT Joni Warta; Wowon Priatna; Asep Ramdhani Mahbub; Dwi Budi Srisulistiowati
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 10 No. 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i2.1084

Abstract

AbstractManufacture of a tool using IoT technology that can be used to improve water quality properly and in real-time. The data will be a suitable and inappropriate reference for the quality of the water to be used by the community. Data will be taken from several groundwater samples to evaluate water quality using the Simple Additive Weighting (SAW) method to determine an alternative choice based on predetermined weights and criteria. In the process of designing groundwater temperature and pH detection systems using the IoT-based SAW method with web-based applications, the tools made can be run remotely with a micro device called Wemos D1 R32 as the control center connected to the website and pH and temperature sensors as readers sample data. With this detection tool, you can find out with satisfactory results. Keywords: Simple Additive Weighting, Well Water, Internet of Things, Wemos D1 R32.
Desain dan Implementasi Sistem Monitoring Daya Pintar untuk CCTV Berbasis IoT dengan Model Scrum Asep Ramdhani Mahbub; Joni Warta; Agus Hidayat; Rasim .; Wowon Priatna
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 12 No. 1 (2025): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v12i1.1325

Abstract

Penelitian ini mengembangkan aplikasi monitoring daya pintar CCTV berbasis IoT menggunakan metode Scrum untuk meningkatkan efisiensi energi dan keamanan sistem pengawasan. Tantangan utama yang dihadapi adalah pengelolaan energi yang efisien dalam jaringan CCTV yang luas. Dengan mengadopsi teknologi Internet of Things (IoT), sistem ini memungkinkan pemantauan dan analisis data konsumsi daya secara real-time, sekaligus memperlancar otomatisasi pengelolaan daya. Pengembangan aplikasi dilakukan menggunakan arsitektur tiga tingkat dan menerapkan proses iteratif Scrum yang adaptif terhadap perubahan kebutuhan sistem. Hasil penelitian menunjukkan peningkatan yang signifikan dalam efisiensi energi serta keamanan operasional CCTV, sambil memastikan skalabilitas dan fleksibilitas sistem. Studi ini memberikan kontribusi penting dalam pengembangan aplikasi IoT yang efisien di sektor keamanan, menawarkan pendekatan yang praktis untuk monitoring daya pintar dalam jaringan CCTV.
Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh Wowon Priatna; Rakhmat Purnomo; Tri Dharma Putra
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.
Algoritma First in First Out (FIFO) Untuk Perancangan Aplikasi Pemesanan Kaos Sablon Ilham Rizky Widianto; Wowon Priatna; Hendarman Lubis
Jurnal Kajian Ilmiah Vol. 23 No. 2 (2023): May 2023
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/tva3pd96

Abstract

The purpose of this study is to solve the problem of screen-printing T-shirt shops. For manual screen printing t-shirt shops, customers often have to visit the store in person or contact them via chat or phone, often encountering the following issues when ordering t-shirts: B. Irregular orders for those who have placed an order in advance or who have been waiting for a long time. One way to solve the queuing problem is the FIFO algorithm. FIFO algorithms are methods for organizing, processing, and manipulating basic data structures in computer systems. The FIFO algorithm phases in this study begin with the data preparation phase, the Gantt cart process, and finally his FIFO wait time. The result of the FIFO stage translates into creating applications using the Java programming language, Android Studio, and the FireBase database. The results of this study can be applied to his FIFO algorithm for customer queues in ordering T-shirts. A t-shirt ordering application was tested using the white box method by running the test case in four passes. All tests passed, so you can use the ordering application based on the FIFO algorithm.
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.
Co-Authors -, Rasim Ade Iriani Adi Setiawan Agung Nugroho Agung Nugroho Agus Hidayat 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 Anisya Wulandari Annisa Oktavianti Hermadi Aprilyana, Dhea Putri Asep R. Hamdani Asep Ramdhani M Asep Ramdhani Mahbub Asep Ramdhani Mahbub Atika , Prima Dina Danny Manongga Dimas Abimanyu Prasetyo Dwi Budi Srisulistiowati Dwipa Handayani Dzulqiyana, Afina Putri Eka Nur A’ini Endah Prawesti Ningrum 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 Hendharsetiawan, Andy Achmad Herlawati Herlawati Hernowo, Pandit Hindriyanto Dwi Purnomo Ikhsan Romli Ilham Rizky Widianto Irwan Sembiring Ismaniah Ismaniah Ismaniah, Ismaniah Iwan Setyawan Joni Warta Joni Warta Joniwarta Joniwarta Jumi Saroh Hidayat Kapriadi, Engkap Karyaningsih, Dentik Khoirunnisaa, Nabiilah Kustanto , Prio Lestari, Tyastuti Sri M. Fadhli Nursal Manrejo, Sumarno Mayadi Mayadi Mayadi, Mayadi Meutia, Kardinah Indrianna Mugiarso Mugiarso, Mugiarso Muhammad Khaerudin Muhammad Yasir Noe’man,, Achmad Nurjeli Nurjeli Pasaribu, Ahmad Muchlisin Natas Pradana , Galih Apriansha Prima Dina Atika Purnomo, Rakhmat Purnomo, Rakhmat Rahmadanti, Regita Ari Rahmadya Trias Handayanto Rakhmat Purnomo Rasim Rasim Rasim . Rasim Rasim Rejeki , Sri 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 Tia Aulia Tri Dharma Putra Tri Dharma Putra Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Wiyanto Wiyanto