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SUSTAINABLE DIGITAL BUSINESS EXPANSION PADA INDUSTRI KREATIF BATIK BANYUMAS MELALUI SISTEM INFORMASI BERBASIS WEBSITE Alon Jala Tirta Segara; Arief Rais Bahtiar; Yosita Dwiani Suryaningtiyas; Hindun Afni Al Haya; Rafli Dhafin Kamil
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.39044

Abstract

Industri batik di Banyumas memiliki potensi besar sebagai warisan budaya sekaligus sumber daya ekonomi masyarakat lokal. Batik Banyumas Kreatif menjadi salah satu pelaku utama dalam industri ini, namun menghadapi tantangan signifikan dalam pengelolaan administrasi usaha yang belum efisien dan proses produksi manual yang membatasi kapasitas dan kualitas produk. Pengembangan sistem informasi berbasis website dipilih sebagai solusi untuk meningkatkan efisiensi operasional, transparansi data, dan kapasitas produksi. Metode yang digunakan dalam program ini meliputi pelatihan pembuatan sistem informasi, pendampingan implementasi teknologi, serta pelatihan optimalisasi proses pencantingan sebagai langkah strategis meningkatkan inovasi dan kualitas produksi. Hasil kegiatan menunjukkan bahwa penerapan sistem informasi mampu mempersingkat proses administrasi, mengurangi kesalahan data, dan meningkatkan produktivitas usaha. Selain itu, pelatihan inovasi pencantingan membantu memperluas variasi desain, meningkatkan efisiensi waktu produksi, dan memenuhi permintaan pasar domestik maupun internasional. Hasil ini menegaskan pentingnya digitalisasi dalam mendukung pengembangan industri kreatif batik untuk mempertahankan warisan budaya sekaligus memenuhi tuntutan pasar global yang semakin kompetitif.
Utilizing the Technology Acceptance Model (TAM) to Drive E-Warehouse Adoption in Brebes' Shallot Sector Ade Yanyan Ramdhani; Muhammad Iqbal Faturohman; Lina Fatimah Lishobrina; Faizah; Alon Jala Tirta Segara; Arief Rais Bahtiar; Dimas Fanny Hebrasianto; Muhammad Alim Safa’at; Destyana Chandra Priyambodo; Diva Angelica; Rafli Dhafin Kamil; Farhan Aryo Pangestu
Jurnal E-Komtek Vol 10 No 1 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2213

Abstract

This study explores the factors influencing the adoption of SiJuna, a cold storage-based e-warehouse platform, among shallot farmers in Brebes Regency. Price volatility significantly impacts farmers, leading to economic losses, particularly when prices drop below production costs. SiJuna aims to help farmers by offering cold storage to preserve their harvests during price declines and sell when prices stabilize. Using the Technology Acceptance Model (TAM), data was collected from 90 farmers and analyzed through Structural Equation Modeling (SEM). The results reveal that perceived ease of use and perceived usefulness positively influence farmers' behavioral intention to adopt SiJuna, which in turn significantly affects the actual use of the system. The findings underscore the importance of usability and perceived value in technology adoption, suggesting that a user-friendly design and clear benefits can enhance the adoption of agricultural technologies, ultimately improving post-harvest management and farmers' profitability.
Rancang Bangun Aplikasi Tahfidz dengan Metode Rapid Application Development Fauza Ibrahim Farid; Alon Jala Tirta Segara
JOINS (Journal of Information System) Vol 10 No 2 (2025): Edisi November 2025
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v10i2.13089

Abstract

The conventional system for tracking Qur'an memorization at SMPIT Salman Alfarisi Boarding School poses significant challenges, including scattered data, inconsistent record-keeping, and difficulties in reporting. A preliminary study found that 64% of supervisors consider this manual system ineffective. This research aims to address these issues by developing an Android-based application for tracking tahfidz, utilizing the Rapid Application Development (RAD) methodology. The development process involved identifying user requirements through observation, interviews, and a literature review, followed by system design using UML and interface mockups. The system was implemented using Flutter for the mobile application and Laravel for the REST API. Evaluation was conducted through questionnaires and black-box testing. The results demonstrate that the application enhances the effectiveness of record-keeping and simplifies data access, with user evaluations confirming the system's practicality and utility. All nine functional test cases yielded a "Successful" result, indicating that the application performs as designed for supervisors, student guardians, and administrators. This application, comprising both Android and web platforms, successfully overcomes the limitations of the manual system and holds significant potential for wider adoption by similar educational institutions.
Adaptive Integration of Distributed Deep Q-Networks for Enhancing OLSR Routing in Dynamic Mobile Ad-Hoc Networks Alon Jala Tirta Segara; Arief Rais Bahtiar; Muhammad Raafi'u Firmansyah; Fahrudin Mukti Wibowo
Indonesian Journal of Information Systems Vol. 8 No. 2 (2026): February 2026
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i2.11760

Abstract

Adaptive routing in Mobile Ad-Hoc Networks (MANETs) poses considerable difficulty owing to the network's dynamic characteristics, lack of stable infrastructure, and swift topology alterations. The Optimized Link State Routing (OLSR) protocol provides a proactive routing mechanism via topology dissemination and MultiPoint Relay (MPR) selection. Nevertheless, it exhibits diminished responsiveness to real-time topology alterations, as it depends on periodic updates and does not explicitly account for link quality. This paper suggests the incorporation of the Deep Q-Network (DQN) methodology into OLSR as a reinforcement learning strategy to improve routing adaptability and efficiency. The DQN model employs network metrics like latency, ETX, buffer occupancy, and neighbor count as state inputs, with actions determined by Q-values obtained via environmental interactions. Simulations conducted with NS-3 and PyTorch demonstrate that OLSR-DQN enhances Packet Delivery Ratio (PDR) by as much as 20%, decreases delay by 15–25%, and markedly boosts throughput in dynamic MANET situations. Keywords: MANET, OLSR, Deep Q-Network, adaptive routing, reinforcement learning