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All Journal Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Pemberdayaan Ekonomi
Hendri , Hendri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mathematics Social Sciences

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Pelatihan Administrasi Pelaporan Bandes Bagi Pegawai Desa Karanganyar Kabupaten Pesawaran Hendri , Hendri; Syarif, Arman
Jurnal Pemberdayaan Ekonomi Vol. 4 No. 1 (2025): Februari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jpe.v4i1.5363

Abstract

Purpose: This study aims to improve the understanding and skills of village officials in systematically preparing administrative reports on village fund allocations (Bandes) through a participatory training program held in Karanganyar Village, Pesawaran Regency. Methodology/approach: This study employed a qualitative descriptive approach with educational-participatory methods. The one-day training included administrative theory, interactive discussions, and practical report writing. Participants were village officials and staff, with data collected through observation, documentation, and post-training evaluation. Results/findings: The training results showed a significant improvement in participants’ understanding of administrative principles and their ability to prepare Bandes reports. There was a notable increase in the accuracy and completeness of the reports produced during the practical session. Participants also demonstrated high enthusiasm during discussions, indicating the relevance and necessity of such training for improving village governance performance. Conclutions: This training effectively equipped village officials with essential administrative skills for managing village funds. The activity also demonstrated that participatory training approaches can successfully bridge the gap between administrative theory and practical implementation in local governance. Limitations: This study contributes to capacity-building efforts for village apparatuses and promotes transparent and accountable village governance. The training model can be replicated in other villages with similar administrative development needs. Contribution: The limitation of this study lies in the narrow scope of participants, which was limited to a single village, and the short duration of the training, which did not allow for long-term evaluation of its impact on field implementation.
Pelatihan Usaha Roti dalam Rangka Menambah Penghasilan bagi Ibu Rumah Tangga di Kecamatan Tegineneng Kabupaten Pesawaran Hendri , Hendri; Syarif, Arman
Jurnal Pemberdayaan Ekonomi Vol. 4 No. 1 (2025): Februari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jpe.v4i1.5365

Abstract

Purpose: This program aims to enhance the entrepreneurial skills of housewives in Tegineneng District, Pesawaran Regency, through bread-making training as an alternative source of additional income, while fostering entrepreneurship based on local potential. Methodology/approach: The program was carried out using a participatory training approach, consisting of lectures, counseling, demonstrations of bread-making, packaging, and marketing strategies. Participants were provided with recipe modules and hands-on practice assistance. Evaluation data were collected through skill observations, interviews, and group discussions. Results/findings: The training successfully improved participants’ knowledge of proper bread production techniques, from raw material selection, fermentation processes, to packaging. In addition, participants’ skills in marketing products also increased. They demonstrated a mindset shift toward being more open to business opportunities, with some starting to produce and sell bread independently. Conclutions: The bread-making training program effectively equipped housewives with practical skills and entrepreneurial motivation. The combination of improved knowledge, production skills, and marketing abilities has created new business opportunities at the household level. Limitations: This activity was limited to participants within a single district and did not yet fully utilize digital technology for marketing. Moreover, long-term evaluation of post-training business performance has not been conducted. Contribution: The program makes a tangible contribution to local economic empowerment by utilizing the potential of housewives as human resources. This training model can be replicated in other regions to increase household income while strengthening the food-based MSME sector.
Studi Optimalisasi Deteksi Intrusi Jaringan NIDS Menggunakan XGBoost pada Dataset Netflow V2 Aritonang, Mhd Adi Setiawan; Marshall Al Karim, Muhammad; Roland, Roland; Irwan Gultom, Jefri; Enrico Sitompul, muel; Hendri , Hendri
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 1 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i1.1756

Abstract

This research is motivated by the increasing complexity of cyber attacks on modern networks, necessitating the need for an adaptive and accurate network intrusion detection system (NIDS) through the use of machine learning algorithms, specifically XGBoost. This research uses the NF-UQ-NIDS-v2 dataset with structured pre-processing stages, stratified data partitioning, and the development of an XGBoost-based multi-class classification model with optimized hyperparameter configurations. The test results show that the XGBoost model achieves an overall accuracy of 98.84% with excellent performance in the majority class, but still experiences a decrease in performance in the minority class due to data imbalance. The XGBoost-based NIDS model is proven to be effective and stable in detecting large-scale network attacks, although further strategies are needed to improve detection capabilities for rare types of attacks..
Co-Authors Enrico Sitompul, muel Irwan Gultom, Jefri Marshall Al Karim, Muhammad Mhd Adi Setiawan Aritonang Roland, Roland Syarif, Arman