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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jiko (Jurnal Informatika dan komputer) Dinasti International Journal of Digital Business Management Jurnal Mandiri IT Jurnal Abdimas Perbanas Jurnal Kewirausahaan, Akuntansi, dan Manajemen TRI BISNIS Jurnal Pariwisata, Bisnis Digital dan Manajemen Journal of Community Service and Society Empowerment Jurnal Abdimas: Sosial, Bisnis, dan Lingkungan
Fabrianto, Luky
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Pelatihan Pengenalan Teknologi san Digitalisasi untuk Bisnis UMKM Prasetyo, Johan Hendri; Fabrianto, Luky; Wiharso, Gani; Puspita, Ratna
Jurnal Abdimas Perbanas Vol. 6 No. 1 (2025): Jurnal Abdimas Perbanas
Publisher : Institut Keuangan-Perbankan Dan Informatika Asia Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56174/jap.v6i1.796

Abstract

In today’s fast-paced digital era, MSMEs in Bekasi City face significant challenges in integrating digital technology into their business operations. Many lack the knowledge and skills needed to adopt technology effectively, making them vulnerable to competitive disadvantages, limited market expansion, and exposure to digital security threats. To address these issues, comprehensive digital literacy training is essential to empower MSME actors to utilize technology in a safe and efficient manner that supports business growth. The "Introduction to Technology and Digitalization for MSME Businesses" training program is designed to equip participants with foundational knowledge of computers and the internet, effective use of social media as a marketing tool, and the basics of digital security to safeguard business information. By participating in this program, MSME actors from the UMKM Naik Kelas community in Bekasi are expected to improve their ability to adopt digital solutions, expand market reach, and enhance competitiveness. This initiative aims to produce tangible outcomes, including increased understanding of digital tools, practical application of social media for business promotion, and heightened awareness of cybersecurity measures. These skills will enable MSME actors to modernize their operations, better integrate technology, and ultimately strengthen their business resilience and economic contributions. With enhanced digital capabilities, MSMEs can achieve sustained growth, reinforce their presence in the marketplace, and contribute more effectively to local economic development.
User Experience Sebagai Media Manajemen Validasi Atas Kebutuhan User Prakoso, Bobby Suryo; Prasetyo, Johan Hendri; Fabrianto, Luky; Wiharso, Gani; Safitri, Rizky Ade
Jurnal Pariwisata Bisnis Digital dan Manajemen Vol. 1 No. 1 (2022): Jurnal Pariwisata, Bisnis Digital dan Manajemen Periode Mei 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (950.443 KB) | DOI: 10.33480/jasdim.v1i1.3394

Abstract

OPTIMIZING HADITH CLASSIFICATION WITH NEURAL NETWORKS: A STUDY ON BUKHARI AND MUSLIM TEXTS Rasenda, Rasenda; Fabrianto, Luky; Faizah, Novianti Madhona
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8732

Abstract

The Bukhari and Muslim hadith collections encompass a total of 7008 hadith sentences, but it is not immediately clear which of these hadiths fall into the categories of prohibitions or orders. To enhance understanding and accessibility for readers, this study focuses on classifying these hadiths through a systematic process. The classification involves several key stages: Text Pre-processing, pre-processing the raw text data to clean and normalize (Stemming, Stopword Removal and Tokenization), Word vector features are extracted to capture the semantic relationships and contextual meanings of the words, then processed into a neural network model based on a multilayer perceptron (MLP) architecture (Model Architecture, Training and Optimization). The approach leverages the strength of neural networks, particularly through the use of multiple layers and feature extraction via word vectors, which significantly contributes to the accuracy of the classification process. The results of the study is very good, with a high accuracy rate of 97.72% achieved by employing a model with two layers and 256 neurons
Co-Authors Abdullah, Hamzah Ali Afriano, Daniel Chandra Ali, Iman Bilqis, Shahnaz Hafiza Faizah, Novianti M Faizah, Novianti Madhona Febrianti, Nurlia Gani Wiharso Karo Karo, Panser Nabilah, Saripah Nurcahyo, Widyat Prakoso, Bobby Suryo Prasetyo, Johan Hendri Prihandayani, Tiwuk Wahyuli Rahman, Dafih Okta Rasenda, Rasenda Ratna Puspita, Ratna Riza, Faiza Safitri, Rizky Ade Simon Simarmata Surohman, Surohman Syukur, Agus Tsabitah, Aida Salma Yuwanda, Henny