OPTIMALISASI AI DALAM MENGURANGI KEHILANGAN HASIL PASCA PANEN:SISTEM COLD CHAIN LOGISTICS DAN SMART WAREHOUSING

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Bunga Humairo
Titin Martini
Muhammad Rano
Muhammad Faiz Nawawi
Yeni Budiawati
I Gusti Bagus Danendra Pradnya Ananta

Abstract

Kehilangan hasil pasca panen merupakan tantangan serius dalam sektor pertanian, terutama pada komoditas hortikultura. Studi ini bertujuan untuk mengkaji efektivitas penerapan Artificial Intelligence (AI) dalam sistem cold chain logistics dan smart warehousing guna menekan kehilangan tersebut. Metode yang digunakan berupa studi literatur dari berbagai publikasi ilmiah periode 2020–2025. Hasil kajian menunjukkan bahwa integrasi teknologi AI seperti Internet of Things (IoT), Radio Frequency Identification (RFID), dan algoritma machine learning mampu meningkatkan efisiensi pemantauan suhu, prediksi umur simpan, serta mengoptimalkan manajemen distribusi. Temuan ini mengindikasikan potensi besar AI dalam menciptakan sistem logistik pertanian yang adaptif dan berkelanjutan. Rekomendasi diarahkan pada penguatan infrastruktur digital dan peningkatan kompetensi sumber daya manusia untuk mendukung implementasi AI di sektor pertanian


Kata kunci: Cold Chain, Smart Warehousing, kehilangan hasil panen, Artificial Intelligence, sistem logistik.


 


Abstract


Postharvest loss is a major challenge in the agricultural sector, particularly for highly perishable horticultural commodities. This study aims to evaluate the effectiveness of implementing Artificial Intelligence (AI) in cold chain logistics and smart warehousing systems to reduce such losses. The research method applied is a literature review, analyzing six selected scientific articles from the period 2020–2025 that are relevant to the research topic. The findings reveal that AI technologies such as the Internet of Things (IoT), Radio Frequency Identification (RFID), and machine learning algorithms significantly enhance real-time monitoring of temperature and humidity, predict product shelf life, and optimize stock rotation and distribution systems. The application of AI has proven to improve accuracy, reduce logistic inefficiencies, and establish a more adaptive and sustainable distribution system. These findings highlight the importance of integrating digital technologies into agricultural logistics systems to support national food security and supply chain efficiency.   


Keywords: Cold Chain, Smart Warehousing, Postharvest Loss, Artificial Intelligence, Logistics System.

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Author Biographies

Bunga Humairo, Universitas Sultan Ageng Tirtayasa

Jurusan Agribisnis, Universitas Sultan Ageng Tirtayasa

Titin Martini, Universitas Sultan Ageng Tirtayasa

Jurusan Agribisnis, Universitas Sultan Ageng Tirtayasa

Muhammad Rano, Universitas Sultan Ageng Tirtayasa

Jurusan Agribisnis, Universitas Sultan Ageng Tirtayasa

Muhammad Faiz Nawawi, Universitas Sultan Ageng Tirtayasa

Jurusan Agribisnis, Universitas Sultan Ageng Tirtayasa

Yeni Budiawati, Universitas Sultan Ageng Tirtayasa

Jurusan Agribisnis, Universitas Sultan Ageng Tirtayasa

I Gusti Bagus Danendra Pradnya Ananta, Politeknik Kesehatan Kementerian Kesehatan Denpasar

Jurusan Kesehatan Gigi, Politeknik Kesehatan Kementerian Kesehatan Denpasar