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All Journal IJIIS: International Journal of Informatics and Information Systems Jurnal Pengabdian Masyarakat (ABDIRA)
Seno, Axel Sandi
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Aerospace Engineering Computer Science & IT Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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Pendampingan Pembuatan Proposal PKM Berbasis Pedoman dan Cara Pengelolan Sistem Belmawa Setyaningsih, Gustin; Seno, Axel Sandi; Ramadhan, Rifqi Falih; Pribadi, Prayoga; Setiawan, Ito; Yunita, Ika Romadoni
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 3 (2025): Abdira, Juli
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i3.667

Abstract

After observing the PKM proposal, there are still many proposals that do not comply with the writing guidelines such as attachments, bibliography, budget plans and basic things such as paper size, margins, fonts do not comply with the guidelines. From this case, it becomes one of the problems why very few proposals pass from Amikom Purwokerto University. The PKM proposal assessment consists of 2 stages. The first stage is administrative selection and the second stage is substance selection. Based on interviews with national PKM reviewers, almost 60% of all PKM proposals submitted failed at the administrative selection stage. In addition, in the process of uploading PKM proposals to the system, many students do not understand the stages of filling in the system. The purpose of this assistance is to reduce the error rate of PKM proposals made by students. The stages of implementing assistance include assistance in making proposals, assistance in managing the Simbelmawa system, evaluation and discussion. The results of the assistance are that many student proposals are in accordance with the 2025 PKM guidelines.
Pelatihan budidaya ikan gurami pada POKDAKAN Enggal Jaya Desa Beji Setyaningsih, Gustin; Sarmin, Sarmin; Pribadi, Prayoga; Ramadhan, Rifqi Falih; Seno, Axel Sandi; Khumaeni, Eko Hidayaturrohman
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.1112

Abstract

Beji Village, Kedungbanteng District, is a center for gourami cultivation in Banyumas Regency. During the cultivation process, fish farmers encounter problems regarding proper gourami cultivation practices, resulting in the death of broodstock. Farmers rely solely on traditional knowledge based on field experience, lacking expert guidance. Every year, gourami experience mass mortality, the most severe of which occurred in 2018, with a mortality rate of 90%. Most broodstock deaths are caused by viruses, water quality, weather, and other factors. This has resulted in economic losses for farmers in the Enggal Jaya group, with annual decreases in gourami egg production. Gourami broodstock mortality can be prevented with proper cultivation management. The training aimed to improve farmers' skills in gourami cultivation. The training methods used were lectures and discussions. Based on the participants' evaluation forms, it can be concluded that 72% of the training participants experienced increased knowledge about gourami cultivation.
Implementation of Artificial Intelligence to Improve Customer Service Efficiency at PT Jaya Harita Lestari Seno, Axel Sandi; Falah, Najmal
International Journal of Informatics and Information Systems Vol 9, No 1: Regular Issue: January 2026
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v9i1.292

Abstract

In the era of rapid digitalization, businesses are increasingly adopting Artificial Intelligence (AI) to enhance their operational efficiency and customer service. PT Jaya Harita Lestari, a procurement services company, has integrated AI technology through the PaDi UMKM platform to streamline its procurement processes and improve service delivery. This research explores how the adoption of AI-powered features such as the AI Agent and Tender Kilat has enhanced customer service efficiency. Using a case study approach, the study includes observations, interviews, and a survey to analyze the impact of AI implementation. The findings reveal that AI adoption has significantly reduced manual workloads, improved response times to customer requests, and increased overall customer satisfaction. The AI system’s automation of inquiries and procurement processes has led to faster, more transparent, and efficient services, positioning the company for better competitiveness in the digital marketplace. This study demonstrates the potential of AI to revolutionize service industries by improving operational performance and customer experience, offering a model for other businesses in the digital transformation journey.
Co-Authors Falah, Najmal Khumaeni, Eko Hidayaturrohman Prayoga Pribadi Ramadhan, Rifqi Falih Sarmin Sarmin Setiawan, Ito Setyaningsih, Gustin Yunita, Ika Romadoni