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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika dan Rekayasa Perangkat Lunak E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) AMMA : Jurnal Pengabdian Masyarakat
Rudi Kurniawan
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Pemberdayaan Kelompok Tani melalui Sistem Informasi Pertanian Berbasis Android Riri Narasati; Rudi Kurniawan; Fikri Firmansyah; Gilang Ramadhan
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Farmer group empowerment is one of the important strategies in increasing agricultural productivity and farmer welfare. This research aims to develop and implement an Android-based agricultural information system as a medium for empowering farmer groups in Nganjuk Regency. The system is designed to provide access to agricultural information in a fast, accurate, and relevant manner, including weather information, commodity prices, cultivation techniques, and consultation with agricultural extension workers. The research method used is descriptive qualitative research with a case study approach. The system development process refers to the Waterfall model which includes the stages of analysis, design, implementation, testing, and maintenance. The implementation results show that the use of an Android-based information system significantly increases farmer group involvement in agricultural activities, accelerates the decision-making process, and improves access to agricultural information resources. In addition, the system facilitates two-way communication between farmers and extension workers, which was previously constrained by time and location limitations. The conclusion of this research is that information technology, especially Android applications, has great potential in empowering farmer groups in a sustainable manner. It is hoped that this system can be adopted more widely by other regions as an information technology-based farmer empowerment solution.
Pelatihan Video Editing untuk Siswa dan Pemuda dalam Industri Kreatif Digital Rudi Kurniawan; Ryan Hamonangan; Hilda Novia Ramadani; Ibnu Fajri
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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In the rapidly growing digital era, the need for skills in the creative industry is very important, especially in the field of video editing. Video editing training for students and youth aims to improve competence and practical skills that are relevant to current industry needs. This training activity was organized by Karang Taruna Kelurahan Lolu Selatan, in collaboration with the Digital Talent Indonesia Course and Training Institute (LKP), and targeted students and youth in Palu City who have an interest in digital creative fields. The training method used a hands-on approach with materials covering the basics of video editing, introduction to software, shooting techniques, and audio visual editing. The results of this training showed an increase in participants' knowledge and skills in using editing software and understanding the video production process. In addition, participants also obtained certificates as a form of recognition of the competencies obtained. This program is expected to be the first step in preparing the younger generation to compete in the world of work, especially in the creative industry sector. In conclusion, video editing training not only provides the benefits of technical skills, but also encourages creativity, innovation, and sustainable youth empowerment.
Peningkatan Kinerja SVM pada Klasifikasi Sentimen Ulasan iPusnas Berbasis Imbalance Handling Akmal Mustafa; Rudi Kurniawan; Bani Nurhakim; Puji Pramudya Marta; Khaerul Anam
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 8 No. 1 (2026): Edisi April
Publisher : Universitas Harapan Medan

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This study investigates sentiment classification of user reviews on the iPusnas digital library application to provide an objective overview of service quality and user experience. Numerous complaints related to login failures, application crashes, and issues in accessing digital books indicate the need for a computational approach capable of processing large volumes of user feedback. The proposed method integrates Natural Language Processing (NLP) techniques with the Support Vector Machine (SVM) algorithm. The workflow consists of collecting 2,000 reviews, applying text cleaning and normalization, tokenization, stopword removal, stemming, rating-based sentiment annotation, and feature extraction using TF-IDF. The dataset was divided using a train–test split for model training and evaluation. Experimental results show that the SVM model achieves 90.1% accuracy, demonstrating strong performance in detecting negative sentiments and moderate performance for positive sentiments due to class imbalance. These  findings highlight the effectiveness of NLP and SVM for extracting user perceptions and indicate the potential of this model as a decision-support tool for improving iPusnas application services. Overall, the study contributes to the advancement of digital service innovation in Indonesia.
Co-Authors Achmad Fikri Adbdul Muhyi Ade Awaludin Aditia Ahmad Haekal Susanto Ahmad Muhaimin Ahmad Rai Fatkaozi Akmal Mustafa Bani Nurhakim Cep Lukman Rohmat Dodi Solihudin Fikri Firmansyah Fitriani Agustina Gilang Ramadhan Hilda Novia Ramadani Ibnu Fajri Khaerul Anam Muhammad Hilmy Naufan Narasati, Riri Narasati Odi Nurdiawan Puji Pramudya Marta Raditya Danar Dana Ryan Hamonangan Tati Suprapti Wartumi Wartumi Windy Astuti Yudhistira Arie Wijaya Yudis Firmansyah