Selected Locations for Potato Industry Cultivation in Indonesia using the Weighted Product Method

Authors

  • Rio Reyno Elia Professional Engineering Program, Graduate School, IPB University, IPB Darmaga Campus, Bogor 16680, Indonesia
  • Nastiti Siswi Indrasti Department of Agricultural Industrial Technology, Faculty of Agricultural Technology, IPB Darmaga Campus, Bogor 16680, Indonesia
  • Ono Suparno Department of Agricultural Industrial Technology, Faculty of Agricultural Technology, IPB Darmaga Campus, Bogor 16680, Indonesia

DOI:

https://doi.org/10.18343/jipi.31.2.304

Keywords:

chip grade, potato cultivation, land evaluation, agroclimatic variables, weighted product method

Abstract

PT. ABCD, the world's largest potato chip maker, relies on industrial-grade potatoes grown in conjunction with Indonesian farmers. This study addressed the topic of selecting the best subdistrict locations for industrial potato growing by combining agroclimatic and non-agroclimatic variables. The goal was to determine the best cultivation areas based on agroclimatic variables (temperature, rainfall, sunlight duration, cloud cover, radiation, altitude, frost risk) and non-agroclimatic variables (harvested area, production, productivity, logistics, pest and disease incidence, irrigation, production costs, competition, and farmer capability). The Weighted Product (WP) technique was used in the study to assign weights to each criterion and evaluate alternatives through a ranking procedure. Data were gathered from PT ABCD's agroclimatic database (2010−2020) and processed using ArcGIS, supplemented by secondary data from the Central Bureau of Statistics and field surveys. The results identify the ten most suitable subdistricts for industrial potato cultivation as Batur (Banjarnegara, Central Java), Tosari (Pasuruan, East Java), Pasir Wangi (Garut, West Java), Cikajang (Garut, West Java), Sirampog (Brebes, Central Java), Pejawaran (Banjarnegara, Central Java), Bawang (Batang, Central Java), Kayu Aro (Kerinci, Jambi), Pangalengan (Bandung, West Java), and Kejajar. The study shows that the WP technique efficiently incorporates agroclimatic and non-agroclimatic factors in site selection. These findings provide a solid foundation for strategic decision-making in the potato chip sector, helping to identify appropriate cultivation areas to assure long-term supply and competitiveness.
Keywords: chip grade, potato cultivation, land evaluation, agroclimatic variables, weighted product method

Downloads

Download data is not yet available.

References

Andika B, Dahria M, Siregar E. 2019. Sistem pendukung keputusan untuk menentukan lokasi pembangunan perumahan type 36 M/S menggunakan metode weighted product pada PT Romeby Kasih Abadi. Jurnal SAINTIKOM (Sains Manajemen Informatika dan Komputer). 18(2): 130–138. https://doi.org/10.53513/jis.v18i2.151

Arsyadah KD. 2018. Dampak frost (embun upas) terhadap nilai ekonomi kentang di dataran tinggi Dieng, Jawa Tengah [Dissertation]. Yogyakarta (ID): Universitas Gadjah Mada.

Asgar A. 2013. Umbi kentang (Solanum tuberosum L.) Klon 395195.7 dan CIP 394613.32 yang ditanam di dataran medium mempunyai harapan untuk keripik. Bandung (ID): Balai Penelitian Tanaman Sayuran..

Baja S. 2012. Metode Analitik Evaluasi Sumber Daya Lahan: Aplikasi GIS, Fuzzy Set, dan MCDM. Makassar (D): Penerbit Identitas Universitas Hasanuddin.

Djoemaijah ME, Dwiastuti D, Setyorini, Basuki JS. 2000. Uji rakitan teknologi budi daya kentang spesifik lokasi dataran tinggi. Jurnal Pengkajian dan Pengembangan Teknologi Pertanian. 2(2):104–110.

FAO. 2023. FAOSTAT: Production Indices. [Accessed on 1 October 2023].: www.fao.org/faostat.

IMARC. 2018. Potato starch market: global industry trends, share, size, growth, opportunity and forecast 2018–2023. https://www.imarcgroup.com › potato-starch-market

Kelgenbaeva K, Prechtel N, Buchroithner M. 2003. Modelling soil and climatic conditions for agricultural suitability assessment in the Siberian Altai. In: Proceedings of the 21st International Cartographic Conference (ICC) Cartographic Renaissance, Durban (pp. 306–315).

[Kementan] Kementerian Pertanian. 2011. Syarat Tumbuh Kentang. Jakarta (ID): Kementerian Pertanian.

Lopulisa C, Husni H. 2011. Evaluasi Lahan. Prinsip Dasar dan Kalkulasi Produksi Tanaman. Makassar (ID): Penerbit LP2M Universitas Hasanuddin.

Mahardika F, Ummiyati U, Martanto M. 2017. Sistem pendukung keputusan menggunakan metode WP (Weight Product) pemilihan minat jurusan. Journal Information and Communication Technology. 16(2): 53–57. https://doi.org/10.36054/jict-ikmi.v16i2.23

Muhibuddin IA. 2016. Inovasi Teknologi Pengembangan Kentang di Dataran Medium (Teori dan Pengalaman Empiris (Vol. 1). Makassar (ID): Sah Media.

Pitojo S. 2004. Benih Kentang. Yogyakarta (ID): Kanisius.

Samadi IB. 2007. Kentang dan Analisis Usaha Tani. Yogyakarta (ID): Kanisius.

Statista. 2023. Potato Chips in Indonesia. [Accessed on 1 October 2023]. www.statista.com/outlook/cmo/food/confectionery–snacks/snack–food/potato–chips/indonesia.

White JW, Izquierdo J. 1991. Physiology of yield potential and stress tolerance. Common Beans. Research for Cop Improvement. 287–382.

Downloads

Published

2026-03-11

How to Cite

Elia, R.R., Indrasti, N.S. and Suparno, O. (2026) “Selected Locations for Potato Industry Cultivation in Indonesia using the Weighted Product Method”, Jurnal Ilmu Pertanian Indonesia, 31(2), pp. 304–312. doi:10.18343/jipi.31.2.304.