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Decision Support System for Suitability of Horticultural Agricultural Plant Types with Land Conditions Using Interpolation Profile Matching

Petrus Wolo, Sri Mulyana, Retantyo Wardoyo

Abstract


Horticultural crops are the most produced by farmers in the Napugera Village area because they are more profitable to cultivate because they are short in life and from an economic point of view they are obtained faster. However, has often experienced obstacles, one of which is determining the suitability of agricultural land for horticultural crops.  Determining the selection of horticultural crops for the types of red onion, red red chili, and tomato crops on a field based on land conditions is very necessary for farmers in the Napugera Village area as a support for decision-making. There are 8 criteria assessed including temperature, rainfall, air humidity, soil type, soil texture, soil ph, land slope and topography. In this study, a profile-matching interpolation method was developed for a decision-making system that can be used as a tool in providing decisions on plants that are suitable for planting in a field easily, quickly, and accurately. The profile-matching interpolation method is one of the methods of scoring data. The results showed that the type of onion horticultural crop with a final value of 3,764 is suitable for cultivation in the Napugera Village area.

Keywords


Decision Support System (DSS); Plant Selection; Land Condition; Profile Matching Interpolation

References


[1] F. M. Toma, “A hybrid neuro-experimental decision support system to classify overconfidence and performance in a simulated bubble using a passive BCI,” Expert Syst. Appl., vol. 212, no. August 2022, p. 118722, 2023, doi: 10.1016/j.eswa.2022.118722.

[2] D. Desclee, D. Sohinto, and F. Padonou, “Sustainability assessment and agricultural supply chains evidence-based multidimensional analyses as tools for strategic decision-making-the case of the pineapple supply chain in benin,” Sustain., vol. 13, no. 4, pp. 1–26, 2021, doi: 10.3390/su13042060.

[3] H. Zabihi et al., “GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy,” Sustain., vol. 11, no. 4, Feb. 2019, doi: 10.3390/su11041009.

[4] E. Memarbashi, H. Azadi, A. A. Barati, F. Mohajeri, S. Van Passel, and F. Witlox, “Land-use suitability in Northeast Iran: Application of AHP-GIS hybrid model,” ISPRS Int. J. Geo-Information, vol. 6, no. 12, 2017, doi: 10.3390/ijgi6120396.

[5] M. Cordioli, C. Pironi, E. De Munari, N. Marmiroli, P. Lauriola, and A. Ranzi, “Combining land use regression models and fixed site monitoring to reconstruct spatiotemporal variability of NO2 concentrations over a wide geographical area,” Sci. Total Environ., vol. 574, pp. 1075–1084, 2017, doi: 10.1016/j.scitotenv.2016.09.089.

[6] J. Van den Bossche, B. De Baets, J. Verwaeren, D. Botteldooren, and J. Theunis, “Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment,” Environ. Model. Softw., vol. 99, no. January, pp. 58–69, 2018, doi: 10.1016/j.envsoft.2017.09.019.

[7] J. Shen et al., “Diverse sensitivity of winter crops over the growing season to climate and land surface temperature across the rainfed cropland-belt of eastern Australia,” Agric. Ecosyst. Environ., vol. 254, no. May 2017, pp. 99–110, 2018, doi: 10.1016/j.agee.2017.11.023.

[8] B. K. M. K. S. | P. P. Pertanian, “BPP_Mego.” 2022.

[9] K. K. Bidang, “Pengembangan Kemitraan Closed Loop Kabupaten Sikka : Jaga Stabilitas Harga dan Pasokan Komoditas Hortikultura,” 2022.

[10] D. Sarah Simbolon and B. Sinaga, “Sistem Pendukung Keputusan Penentuan Kesesuaian Lahan Tanaman Cengkeh Dengan Metode Profile Matching,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 5, p. 2021, 2021, doi: https://doi.org/10.32672/jnkti.v4i5.3427.

[11] R. W. KHAIRUNNISA, “SPK UNTUK MEREKOMENDASIKAN KESESUAIAN LAHAN PADA KOMODITAS TANAMAN PRIORITAS,” Jurnal” Guid. Word” BK STKIP Bima …, 2018, doi: https://doi.org/10.24843/jik.2017.v10.i02.p03.

[12] Z. Zaenuddin and M. Y. Kurniawan, “SISTEM PENUNJANG KEPUTUSAN PEMILIHAN VARIETAS JAGUNG BERDASARKAN KESESUAIAN LAHAN DENGAN METODE PROFILE MATCHING,” Technol. J. Ilm., 2019, doi: http://dx.doi.org/10.31602/tji.v10i2.1807.

[13] A. Sabila, F. Fachruddin, and M. Yasar, “Klasifikasi Kesesuaian Lahan Tanaman Kedelai di Kabupaten Aceh Tengah Berbasis Sistem Informasi Geografis (SIG),” J. Ilm. Mhs. …, 2019, doi: https://doi.org/10.17969/jimfp.v4i2.10941.

[14] K. L. dan E. S. Y. P. eonardus Naben, “View of 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),” 2020. https://ejurnal.undana.ac.id/index.php/jicon/article/view/2884/2042 (accessed Jan. 02, 2023), doi: https://doi.org/10.35508/jicon.v8i2.2884

[15] D. A. H. Kusuma, K. Kusnadi, W. Ilham, P. Sokibi, and ..., “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PUPUK PADA TANAMAN BUAH MANGGA MENGGUNAKAN METODE TOPSIS BERBASIS WEB,” J. Digit, 2022, doi: https://doi.org/10.51920/jd.v12i2.295.

[16] A. Nurkholis and I. S. Sitanggang, “Optimization for prediction model of palm oil land suitability using spatial decision tree algorithm,” J. Teknol. dan Sist. Komput., vol. 8, no. 3, pp. 192–200, Jul. 2020, doi: 10.14710/jtsiskom.2020.13657.

[17] Masnur Masnur Miftah Ali, “View of SISTEM PENUNJANG KEPUTUSAN PENENTUAN KESESUAIAN BUDIDAYA TANAMAN PADI PULU’ MANDOTI MENGGUNAKAN METODE FORWARD CHAINING,” 2021. http://jurnal.umpar.ac.id/index.php/sylog/article/view/1084/972 (accessed Jan. 02, 2023), doi: https://doi.org/10.31850/jsilog.v1i3.1084

[18] Y. W. Baly Woda, I. Hermadi, and M. Marimin, “SISTEM PENDUKUNG KEPUTUSAN CERDAS KESESUAIAN LAHAN DENGAN JENIS TANAMAN PANGAN: STUDI KASUS KABUPATEN SIKKA,” J. Teknol. Ind. Pertan., vol. 29, no. 1, pp. 62–71, Apr. 2019, doi: 10.24961/j.tek.ind.pert.2019.29.1.62.

[19] N. A. Prasetyo and R. Wardoyo, “Decision Support System to Prioritize Ventilators for COVID-19 Patients using AHP , Interpolation , and SAW,” vol. 16, no. 1, pp. 35–44, 2022, doi: https://doi.org/10.22146/ijccs.70985.

[20] S. H. D. Djaenudin, Marwan H. and dan A. Hidayat, P e t u n j u k t e k n i s e v a l u a s i l a h a n u n t u k k o m o d i t a s p e r t a n i a n. 2011.


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DOI: 10.30595/juita.v11i1.16546

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ISSN: 2579-8901