Pajriyah, Erin Nurul (2026) Analisis Peluang Usaha Pertanian Berkelanjutan Pada Unit Usaha Pertanian Perorangan Menggunakan Mixed Methods: Machine Learning Dan Business Model Canvas. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Unit Usaha Pertanian Perorangan (UTP) merupakan unit usaha skala mikro yang dikelola oleh satu orang yang bertanggung jawab untuk semua aspek teknis, yuridis, ekonomis untuk unit usaha pertanian tersebut. Penelitian yang akan dilakukan berfokus pada unit usaha pertanian perorangan yang berlokasi di Kabupaten Kerinci, Provinsi Jambi. Hasil survei ekonomi pertanian 2024, berdasarkan nilai produksi per hektar sekitar 66,49% lahan pertanian di Indonesia tergolong tidak berkelanjutan, hal ini mencerminkan rendahnya produktivitas pada sektor pertanian dimana kurang dari sepertiga dari produktivitas lahan tertinggi. Sektor pertanian menghadapi tantangan yang semakin meningkat terkait konsumsi energi, efisiensi biaya, dan keberlanjutan lingkungan. Selain itu tingginya input eksternal seperti penggunaan pupuk kimia dan pestisida pada sektor pertanian menjadi salah satu faktor utama yang menyebabkan sebagian besar pertanian di Indonesia dikategorikan sebagai tidak berkelanjutan. Masalah yang akan diangkat dalam penelitian ini yang pertama bagaimana menganalisis potensi peluang usaha pertanian berkelanjutan, bagaimana merumuskan strategi usaha pertanian berkelanjutan kedalam bentuk model bisnis, dan bagaimana evaluasi rekomendasi perbaikan model bisnis untuk meningkatkan peluang keberhasilan usaha pertanian berkelanjutan untuk unit usaha pertanian perorangan di Kabupaten Kerinci melalui pendekatan kuantitatif dan kualitatif. Penelitian ini bertujuan untuk menganalisis potensi peluang usaha pertanian berkelanjutan dari beberapa subsektor pertanian pada unit usaha pertanian perorangan, merumuskan peluang usaha pertanian berkelanjutan pada unit usaha pertanian perorangan dalam bentuk model bisnis, serta mengevaluasi rekomendasi perbaikan model bisnis untuk meningkatkan peluang keberhasilan usaha pertanian berkelanjutan untuk UTP di Kabupaten Kerinci. Metodologi yang akan digunakan dalam penelitan yakni pendekatan kuantitatif dan kualitatif dengan memanfaatkan metode machine learning dengan pendekatan clustering menggunakan metode k-means cluster untuk mengelompokkan komoditas pertanian serta business model canvas (BMC). Hasil dari penelitian ini diharapakan dapat memberikan rekomendasi peluang usaha dalam bentuk desain model bisnis pertanian berkelanjutan bagi unit UTP melalui adopsi LEISA.
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Individual Agricultural Holdings (UTP) are micro-scale businesses managed by one person responsible for all technical, legal, and economic aspects of the agricultural business unit. This research will focus on individual agricultural business units located in Kerinci Regency, Jambi Province. The results of the 2024 agricultural economic survey, based on production value per hectare, show that approximately 66.49% of agricultural land in Indonesia is classified as unsustainable, reflecting low productivity in the agricultural sector, where less than a third of the highest land productivity is achieved. The agricultural sector faces increasing challenges related to energy consumption, cost efficiency, and environmental sustainability. In addition, the high use of external inputs such as chemical fertilizers and pesticides in the agricultural sector is one of the main factors causing most agriculture in Indonesia to be categorized as unsustainable. The problems to be addressed in this research are first, how to analyze the potential opportunities for sustainable agricultural businesses; second, how to formulate sustainable agricultural business strategies into business models; and third, whether machine learning can contribute to the design and development of business models. This study aims to analyze the potential opportunities for sustainable agricultural businesses from several agricultural subsectors in individual agricultural business units, formulate sustainable agricultural business opportunities in individual agricultural business units in the form of business models, and analyze whether machine learning can contribute to the design of business model development and how machine learning can assist in the design of business model development. The methodology that will be used in the research is a quantitative and qualitative approach by utilizing machine learning methods with a clustering approach using the k-means cluster method to group agricultural commodities, focusing on the subsectors of food crops, horticulture, and livestock, as well as the business model canvas (BMC). The results of this study are expected to provide recommendations for business opportunities in the form of a sustainable agricultural business model design for individual agricultural holdings.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Pertanian Berkelanjutan, UTP, Machine Learning, BMC, LEISA, Sustanaibale agriculture |
| Subjects: | T Technology > TX Home economics > TX349 Nutrition. Foods and food supply |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
| Depositing User: | Erin Nurul Pajriyah |
| Date Deposited: | 05 May 2026 04:04 |
| Last Modified: | 05 May 2026 04:04 |
| URI: | http://repository.its.ac.id/id/eprint/132962 |
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