Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Britain International of Humanities and Social Sciences (BIoHS) Journal Jurnal Siber Multi Disiplin
Ganjar Nurul Fajar
STMIK Mardira Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Smart Coffee Farming: Inovasi IoT dan AI untuk Produktivitas Perkebunan Kopi Rini Risanti; Hasanah Tisna Amijaya; Oktavia; Ganjar Nurul Fajar; Yayat Nurhidayat
Jurnal Siber Multi Disiplin Vol. 3 No. 4 (2026): Jurnal Siber Multi Disiplin (Januari - Maret 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jsmd.v3i4.704

Abstract

Sektor pertanian memiliki peran penting dalam perekonomian nasional, khususnya komoditas kopi yang berkembang sejak diperkenalkan oleh Belanda di Indonesia. Di Jawa Barat, perkebunan kopi seperti di Manglayang umumnya dikelola secara tradisional dan bergantung pada kondisi cuaca serta ketersediaan air. Produktivitas kopi sering menurun akibat tiga faktor utama: pengolahan benih yang tidak terkontrol sehingga rentan jamur, distribusi irigasi yang tidak merata saat musim kemarau, serta gangguan hama dari hewan liar. Solusi yang dapat diterapkan adalah pertanian berbasis Internet of Things dan Artificial Intelligence, seperti sensor kelembaban tanah untuk pembibitan, drone untuk pemetaan irigasi, serta sistem pengenalan hewan untuk pengendalian hama. Teknologi ini mampu meningkatkan efisiensi, monitoring, dan produktivitas perkebunan secara berkelanjutan.
Artificial Intelligence-Based Digital Transformation for MSMEs in Bandung City: An Informatics Framework for Business Intelligence and Sustainable Competitiveness Rini Risanti; Hasanah Tisna Amijaya; Oktavia; Ganjar Nurul Fajar; Nono Sudarsono
Britain International of Humanities and Social Sciences (BIoHS) Journal Vol 8 No 3 (2026): Britain International of Humanities and Social Sciences, October
Publisher : Britain International for Academic Research (BIAR) Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting local economic development, employment, entrepreneurship, and community welfare. However, the rapid development of digital technology has created new challenges for MSMEs, particularly in terms of digital capability, data management, artificial intelligence adoption, cybersecurity, and the integration of digital platforms into business processes. This study aims to develop an informatics-based framework for implementing contemporary digital technologies among MSMEs in Bandung City. The study employs a qualitative conceptual approach through a literature review and contextual analysis of digital transformation in MSMEs. The analysis integrates artificial intelligence, machine learning, big data analytics, cloud computing, digital payment, e-commerce, business intelligence, and cybersecurity into an integrated digital transformation framework. The findings indicate that MSME digital transformation should develop progressively from basic digital infrastructure and digital transactions toward data integration, intelligent analytics, and strategic decision support. Bandung City provides an important context for this transformation because of its dynamic economic structure and strong development of trade, manufacturing, creative industries, and information and communication activities. The study argues that artificial intelligence should not be adopted independently from organizational capabilities. Effective implementation requires adequate digital literacy, data quality, technological infrastructure, managerial readiness, and cybersecurity. The proposed framework contributes to the information technology literature by connecting contemporary informatics technologies with practical MSME transformation in an urban Indonesian context. The framework also provides a conceptual foundation for future empirical research examining the relationship between digital capability, artificial intelligence adoption, business intelligence, and MSME performance.
Co-Authors Nono Sudarsono Oktavia Rini Risanti Yayat Nurhidayat