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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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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.
SISTEM PENDETEKSI NILAI PH DAN TEMPERATUR AIR SUMUR DI DAERAH KP RAWA MENGGUNAKAN METODE SAW BERBASIS IOT Warta, Joni; Priatna, Wowon; Mahbub, Asep Ramdhani; Srisulistiowati, Dwi Budi
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10 No 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

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.
Pendampingan Implementasi Sistem Informasi Desa Untuk Meningkatkan Efisiensi Pelayanan Administrasi Dan Tata Kelola BUMDes Manrejo, Sumarno; Ningrum, Endah Prawesti; Priatna, Wowon; Hernowo, Pandit; Pasaribu, Ahmad Muchlisin Natas; Endah Prawesti Ningrum
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 8 No. 2 (2025): Juni 2025
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6mwtdp28

Abstract

Digital transformation at the village level is essential to improve the efficiency of public services and strengthen local economic management. However, many villages still rely on manual administrative processes and conventional business management systems for Village-Owned Enterprises (BUMDes). This community service activity aimed to implement a Smart Village application integrated with BUMDes management in Neglasari Village, Sumedang Regency. The program was carried out through several stages, including socialization, training, technology implementation, mentoring, and evaluation. The implemented system integrates three main components: digital village administration services, integrated BUMDes and MSME management, and digital promotion of village products. The results show that the application improved administrative service efficiency, reducing service time from 15–20 minutes to 5–7 minutes per request. In addition, the system reduced administrative recording errors and enabled real-time monitoring of BUMDes transactions and financial reports. Training activities also increased participants' understanding of system usage, with an average score of 4.3 on a five-point scale. Overall, the implementation of the Smart Village application contributes to improving service efficiency, strengthening village business management, and supporting sustainable digital transformation in Neglasari Village
Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT Joniwarta; Priatna, Wowon; Hamdani, Asep R.; Alexander, Allan D.
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): 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.v12i4.3356

Abstract

Implementation of Fuzzy Logic in the IOT-Based Mineral Water pH Control System for various existing bottled mineral water products, this system can measure the pH value, to find out if the value is still within the limits suitable for consumption or not based on government regulations. The public finds it challenging to understand the level of the pH value of the product because the current state of information regarding the pH level of mineral water generally is not listed in the mineral water bottle circulating on the market. Hardware design, application design, and hardware and software integration were the three steps of this research project. The pH value will be read by this control system from the output of the sensors then the data is collected into a data set. The data will be examined for trends using fuzzy logic, which will be used to classify the maximum and minimum pH levels, acidity levels, and base levels. The study's findings show that an internet-based web of things can access the mineral water pH control system to ascertain each mineral water product's pH value and temperature. This information can then be used by consumers to ascertain the pH level of each mineral water product.
Particle Swarm Optimization Untuk Optimasi Klasifikasi Tingkat Kepuasan Layanan Publik Priatna, wowon
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): 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.v12i5.3441

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui tingkat kepuasan terhadap pelayanan yang diberikan oleh pemerintah daerah sebagai penyedia layanan publik dengan mengklasifikasikan data yang diperoleh dari survei yang dilakukan. Saat ini desa dan kelurahan telah memberikan pelayanan sesuai kebutuhan masyarakat, namun jika tidak sepenuhnya memberikan pelayanan yang optimal maka dapat menimbulkan ketidakpuasan dan merugikan masyarakat baik secara fisik maupun materil. Untuk meningkatkan kualitas layanan dan menyelesaikan keluhan pengguna layanan secara efektif, mengidentifikasi pola dan memberikan umpan balik yang tepat waktu untuk meningkatkan produk dan layanan yang diberikan, diperlukan metode klasifikasi pengguna layanan. Metode pengumpulan data pada penelitian ini menggunakan metode survei dengan menyebarkan kuesioner kepada masyarakat pengguna layanan publik di desa dan kelurahan. Data yang diperoleh dianalisis menggunakan Excel untuk mengolah data terlebih dahulu untuk membuat model klasifikasi. Pada tahap prepROCessing, data dikelompokkan untuk mendapatkan label/target sehingga data tersebut dapat diolah menggunakan algoritma klasifikasi. Klasifikasinya menggunakan algoritma Decision Tree (DT), Naïve Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN). Tingkatkan klasifikasi dengan pengoptimalan fitur menggunakan Particle Pool Optimization (SPO). Penelitian ini menghasilkan nilai akurasi tertinggi pada klasifikasi pohon keputusan dengan mendapatkan nilai akurasi tertinggi sebesar 97,74%, disusul algoritma KKN memperoleh akurasi sebesar 77,90%, algoritma Naïve Bayes sebesar 64,4% dan algoritma yang memperoleh nilai akurasi terkecil adalah algoritma SVM. yaitu 59,90%. Setelah dilakukan optimasi, nilai akurasi tertinggi terdapat pada algoritma SVM dan algoritma KNN sebesar 98,3%, pohon keputusan sebesar 97,77%, dan akurasi terkecil pada algoritma Naïve Bayes sebesar 69,30%.
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.
Application Of K-Means Clustering In Grouping Customer Preferences For K-Pop Albums And Merchandise Aditiya Dwi cahyo; Wowon Priatna; Agus Hidayat
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.v4i2.206

Abstract

The increasing popularity of K-Pop in Indonesia is particularly in the purchase of physical products. THJMINE Store faces challenges in inventory management and promotional strategies due to the lack of product grouping for albums and merchandise. This study applies the K-Means Clustering algorithm to 110 sales transaction data from July 2022 to January 2025. The method used in this study is the CRISP-DM approach, which consists of the following stages: business understanding, data understanding, data preparation, modeling, and evaluation discussion. The result of the study shows that the K-Means algorithm successfully formed three clusters with customer classification: loyal customers (cluster 0), general customers (cluster 1), and premium or collector customers (cluster 2). The model evaluation results in a DBI score of 0.6342, indicating good cluster quality. These clustering results can help THJMINE Store understand customer segmentation, develop more targeted marketing strategies, and improve inventory management efficiency.
Public Sentiment Analysis on the Service Quality of PT PLN on X Using Naïve Bayes and K-Nearest Neighbor Algorithms. Zahra, Nurul; Priatna, Wowon; Lestari, Tyastuti Sri
International Journal of Information Technology and Computer Science Applications Vol. 4 No. 1 (2026): January - April 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Quality services since electricity is a primary public need. However, numerous complaints still highlight PLN’s lack of responsiveness, especially on the X platform (formerly Twitter). This study aims to analyze public sentiment toward PLN’s service quality expressed on X and compare the performance of the Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in classifying sentiments into positive, negative, and neutral categories. The research employs the Knowledge Discovery in Databases (KDD) approach, involving data collection through tweet scraping using Tweet-Harvest, preprocessing (case folding, tokenizing, filtering, stemming), transformation with TF-IDF weighting, and data mining using Naïve Bayes and KNN. Evaluation through a confusion matrix shows that Naïve Bayes achieved an accuracy of 87%, outperforming KNN with an accuracy of 86%. These findings provide insights for PLN to better understand public perception and serve as a reference for future sentiment analysis research using machine learning.
Komparasi Kinerja ResNet50 dan MobileNetV2 pada Klasifikasi Citra Multi-Domain Herlawati Herlawati; Andy Achmad Hendharsetiawan; Wowon Priatna; Afina Putri Dzulqiyana; Regita Ari Rahmadanti
Jurnal Komtika (Komputasi dan Informatika) Vol. 10 No. 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v10.i1.16926

Abstract

This study aims to compare the performance of the Convolutional Neural Network (CNN) architectures ResNet50 and MobileNetV2 in multi-domain image classification, namely herbal leaf images and facial skin undertone images. The herbal plant dataset consists of 11 classes of leaf images, while the skin undertone dataset includes warm, cool, and neutral categories obtained from secondary and primary data sources. The research stages include image preprocessing, model training using transfer learning, and performance evaluation using accuracy, precision, recall, F1-score, and confusion matrix. The results show that ResNet50 achieved better performance than MobileNetV2 in both classification domains. In herbal plant classification, ResNet50 achieved an accuracy of 95.00%, while MobileNetV2 obtained 94.09%. In facial skin undertone classification, ResNet50 achieved an accuracy of 89.3% and a weighted F1-score of 0.893, whereas MobileNetV2 achieved an accuracy of 68.3% and a weighted F1-score of 0.684. These findings indicate that ResNet50 is more effective and stable than MobileNetV2 for multi-domain image classification.
Co-Authors -, Rasim ., Rasim Ade Iriani Adi Setiawan Aditiya Dwi cahyo Afina Putri Dzulqiyana 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 Andy Achmad Hendharsetiawan Annisa Oktavianti Hermadi Aprilyana, Dhea Putri Asep R. Hamdani Asep Ramdhani M Atika , Prima Dina Danny Manongga Dimas Abimanyu Prasetyo Dwi Budi Srisulistiowati Dwipa Handayani 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 Herlawati Herlawati Hernowo, Pandit 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 Manrejo, Sumarno Mayadi Mayadi Mayadi, Mayadi Meutia, Kardinah Indrianna Mugiarso Mugiarso, Mugiarso Muhammad Khaerudin Noe’man,, Achmad Nurjeli Nurjeli Pasaribu, Ahmad Muchlisin Natas Pradana , Galih Apriansha Prima Dina Atika Purnomo , Rakhmat Purnomo, Rakhmat Purnomo, Rakhmat Putra , Tri Dharma Rahmadya Trias Handayanto Rakhmat Purnomo Rasim Rasim Regita Ari Rahmadanti 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 Tri Dharma Putra Tri Dharma Putra Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Widianto, Ilham Rizky Wiyanto Wiyanto Zahra, Nurul