Smart Coffee Farming: Inovasi IoT dan AI untuk Produktivitas Perkebunan Kopi

Authors

  • Rini Risanti STMIK Mardira Indonesia
  • Hasanah Tisna Amijaya STMIK Mardira Indonesia
  • Oktavia STMIK Mardira Indonesia
  • Ganjar Nurul Fajar STMIK Mardira Indonesia
  • Yayat Nurhidayat Stebi Bina Essa, Indonesia

DOI:

https://doi.org/10.38035/jsmd.v3i4.704

Keywords:

Agriculture, Internet of Things, Artificial Intelligence, Drone Observation

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.

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Published

2026-05-11

How to Cite

Risanti, R., Amijaya, H. T., Oktavia, Fajar, G. N., & Nurhidayat, Y. (2026). Smart Coffee Farming: Inovasi IoT dan AI untuk Produktivitas Perkebunan Kopi. Jurnal Siber Multi Disiplin , 3(4), 311–326. https://doi.org/10.38035/jsmd.v3i4.704

Issue

Vol. 3 No. 4 (2026): Jurnal Siber Multi Disiplin (Januari - Maret 2026)

Section

Articles

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Copyright (c) 2026 Rini Resanti, Hasanah Tisna Amijaya, Oktavia, Ganjar Nurul Fajar, Yayat Nurhidayat

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