Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 11 No. 5 (2026): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

BIOOPTIMA INTELLIGENCE: KERANGKA KONSEPTUAL INTEGRASI AI, MACHINE LEARNING, DAN IOT UNTUK PEMETAAN DAN OPTIMASI PEMANFAATAN BIOMASSA

Submitted
October 12, 2026
Published
2026-10-12

Abstract

Indonesia memiliki potensi biomassa yang besar dari sektor pertanian, perkebunan, kehutanan, peternakan, perikanan, dan limbah perkotaan. Namun, keragaman karakteristik bahan, persebaran geografis, kondisi logistik, serta perbedaan kebutuhan teknologi konversi menyulitkan penentuan alternatif pemanfaatan dan lokasi fasilitas pengolahan yang sesuai. Penelitian ini bertujuan merumuskan BioOptima Intelligence sebagai kerangka konseptual yang mengintegrasikan pemetaan biomassa, Internet of Things (IoT), Machine Learning (ML), dan Artificial Intelligence (AI) untuk mendukung perencanaan pemanfaatan biomassa berbasis data. Metode penelitian menggunakan structured literature review dan analisis konseptual terhadap literatur terkait biomassa, bioenergi, AI/ML, IoT, rantai pasok, dan sistem pendukung keputusan. Hasil sintesis dirumuskan menjadi kerangka yang menghubungkan pemetaan dan karakterisasi biomassa, akuisisi serta validasi data, analitik ML, rekomendasi berbasis AI, dan mekanisme pemantauan serta umpan balik. Secara konseptual, BioOptima Intelligence dirancang menghasilkan peta dan basis data biomassa, analisis kesesuaian wilayah, estimasi potensi energi berdasarkan ketersediaan data, serta rekomendasi alternatif teknologi konversi dan kandidat lokasi fasilitas pengolahan. Kontribusi konseptual penelitian terletak pada integrasi komponen tersebut dalam satu alur pengambilan keputusan adaptif. Namun, kerangka ini belum diuji secara empiris. Penelitian lanjutan diperlukan untuk membangun dataset, mengembangkan prototipe, memvalidasi model, dan menguji kelayakan rekomendasi pada kondisi operasional.

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