Analisis Strategi Berbasis Faktor Internal pada Produsen Beras Premium Berteknologi Smart Farming: Studi Kasus PT Agro Panca Unggul

Authors

  • Yuliana Agustina Widiarta Universitas Esa Unggul
  • Tantri Yanuar Rahmat Syah Universitas Esa Unggul
  • Edi Hamdi Universitas Esa Unggul
  • Ketut Sunaryanto Universitas Esa Unggul

DOI:

https://doi.org/10.54259/manabis.v4i3.4520

Keywords:

Business Plan, Internal Factors, Rice Producers

Abstract

This study aims to analyze internal factors that affect the performance of PT Agro Panca Unggul (APU), a premium rice producer based on smart farming technology in Indonesia. The methods used include evaluating the company's resources, capabilities, and operational processes with a focus on the application of advanced technologies such as precision equipment, sensors, drones, and the Internet of Things (IoT) to improve productivity and harvest quality. The production location in Boyolali was chosen because of its fertile volcanic soil conditions and abundant water availability, supporting the growth of premium quality rice. The results of the analysis show that APU's main strengths lie in the integration of smart farming technology with modern agricultural practices, a strict quality control system, strong partnerships with local farmers, and an extensive distribution network. However, the company faces several internal weaknesses such as high initial investment costs, dependence on leased land, the need for intensive training for farmers, and limited production scale. APU's competitive advantage is supported by a focus on the premium market that cares about sustainability and technological innovation, as well as strong branding. This study recommends strengthening farmer training programs, diversifying financing sources, optimizing land management, and developing digital marketing strategies to maintain the company's competitiveness and sustainability in the premium rice market.

Downloads

Download data is not yet available.

References

Barat, K., Of, A., Loss, F., Rice, F. O. R., In, C., & Kalimantan, W. (2024). Analisis kehilangan pangan. 8, 959–977.

Daulay, A. R. (2019). Analisis Kriteria dan Bobot untuk Penentuan Lokasi Jalan Pertanian di Provinsi Jambi. Jurnal Teknotan, 13(1), 15. https://doi.org/10.24198/jt.vol13n1.3

Farabi, A. Z., Rahmaddiansyah, R., & Sofyan, S. (2022). Analisis Pengukuran Tingkat Minat Teknologi Smart Farming Pada Petani Komoditi Padi Di Kabupaten Aceh Utara. Jurnal Agrisep, 23(2), 7–12. https://doi.org/10.17969/agrisep.v23i2.27999

Grant, R. M. (2015). Five Forces of Competition. Wiley Encyclopedia of Management, 1–4. https://doi.org/10.1002/9781118785317.weom120173

Harianto, & Susila, D. A. B. (2009). Permintaan Beras Rumahtangga Petani Padi. Jurnal Agribisnis Dan Ekonomi Pertanian, 3(1), 90–103.

Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2023). Understanding the potential applications of Artificial Intelligence in Agriculture Sector. Advanced Agrochem, 2(1), 15–30. https://doi.org/10.1016/j.aac.2022.10.001

Naben, L., Letelay, K., & Pandie, E. S. Y. (2020). Sistem Pendukung Keputusan Penentuan Lokasi Lahan Pertanian Untuk Budidaya Tanaman Jeruk Keprok Menggunakan Fuzzy Multi Atribute Decission Making (Fmadm) Dan Metode Simple Additive Weighting (Saw). Jurnal Komputer Dan Informatika, 8(2), 139–144. https://doi.org/10.35508/jicon.v8i2.2884

Oktaviani, I., Suyatno, A., & Prasetyawati, D. N. (2019). Sistem Informasi Distributor Beras dengan Menerapkan Analisis SWOT. Jurnal Ilmiah IT CIDA, 5(1), 31–44. https://doi.org/10.55635/jic.v5i1.88

Paudel, B., Riaz, S., Teng, S. W., Kolluri, R. R., & Sandhu, H. (2025). The digital future of farming: A bibliometric analysis of big data in smart farming research. Cleaner and Circular Bioeconomy, 10, 100132. https://doi.org/https://doi.org/10.1016/j.clcb.2024.100132

Putri, N., Ismono, R. H., & Murniati, K. (2020). Efektivitas Kebijakan Harga Eceran Tertinggi (Het) Dan Rantai Pasok Beras Medium Di Provinsi Lampung. Jurnal Ilmu-Ilmu Agribisnis, 8(2), 318. https://doi.org/10.23960/jiia.v8i2.4071

Rachmawati, R. R. (2020). SMART FARMING 4.0 UNTUK MEWUJUDKAN PERTANIAN INDONESIA MAJU, MANDIRI, DAN MODERN Smart Farming 4.0 to Build Advanced, Independent, and Modern Indonesian Agriculture Rika Reviza Rachmawati. Forum Penelitian Agro Ekonomi, 38(2), 137–154. http://dx.doi.org/10.21082/fae.v38n2.2020.137-154

Rokhmin, D. (1998). Pembangunan Pertanian Berkelanjutan : Dalam Perspektif Ekonomi, Sosial dan Ekologi. In Agrimedia (Vol. 4, Issue 1). https://agris.fao.org/search/en/providers/122323/records/64e8b7f8f8d9ea1acc272623

Sanny, L. (2020). Perpindahan Panas (Heat Transfer) Bagian I. Jakarta: Erlangga, 1(1), 245. https://media.neliti.com/media/publications/167819-ID-analisis-produksi-beras-di-indonesia.pdf

Supriyadi, E., Basuki, A., & Sigit, R. (2021). Klasterisasi Kualitas Beras Berdasarkan Citra. Inovtek Polbeng, 6(1), 105–119.

Yustiawan, A. E., Ketahanan, L., & Republik, N. (2024). Optimalisasi pengelolaan pertanian berbasis ekonomi hijau guna penguatan ketahanan pangan nasional.

Downloads

Published

2025-09-15

How to Cite

Yuliana Agustina Widiarta, Tantri Yanuar Rahmat Syah, Hamdi, E., & Sunaryanto, K. (2025). Analisis Strategi Berbasis Faktor Internal pada Produsen Beras Premium Berteknologi Smart Farming: Studi Kasus PT Agro Panca Unggul. MANABIS: Jurnal Manajemen Dan Bisnis, 4(3), 272–286. https://doi.org/10.54259/manabis.v4i3.4520