Decision Support System for Determination of Land Suitability of Andaliman Plants Using the Profile Matching Method in Merdeka District, Karo Regency

Authors

  • Roma Sinta Simbolon STMIK Pelita Nusantara Medan
  • Hengki Tamando Sihotang STMIK Pelita Nusantara

DOI:

https://doi.org/10.35335/cit.Vol12.2020.31.pp64-71

Keywords:

Decision Support System, Profile Matching, Land Suitability Determination

Abstract

Andaliman is a commodity plant which has many benefits and high selling power. Andaliman plants are difficult to cultivate because of the difficulty of determining the suitability of land suitable for these plants and the absence of researchers who have conducted research on these plants. Therefore, a decision support system is needed that can assist in determining the suitability of andaliman plantations by using three criteria consisting of each sub-criteria, namely Soil Classification (which consists of soil Ph sub-criteria, soil type and humidity), Land conditions. (which consists of sub-criteria for altitude and light intensity), and climate (which consists of sub-criteria for air temperature and rainfall). A decision support system is a system which able to provide both problem-solving abilities and communication skills for semi-structured problems. This research system aims to design a system in determining the suitability of land for andaliman plants using the Profile Matching method, which is one of the methods in the DSS that uses the GAP weighting method. The programming language used in making the system is PHP with MySQL database. The results of the implementation of the system that have been made show that Jaranguda Village is the most suitable village for planting Andaliman plants.

Downloads

Download data is not yet available.

References

Adila, W. N., Regasari, R., & Nurwasito, H. SPK Selection of Food Plants on a Land Based on Soil Conditions Using the Promethee Method. Journal of Information Technology and Computer Science Development (JPTIIK) Universitas Brawijaya, 2 (5), 2548–2964, 2018. http://j-ptiik.ub.ac.id

Adila, W. N., Regasari, R., & Nurwasito, H. Decision Support System (DSS) Selection of

Food Plants on a Land Based on Soil Conditions Using the Promethee Method. Journal of Information Technology and Computer Science Development (JPTIIK) Universitas Brawijaya, 2 (5), 2548–2964, 2018. http://j-ptiik.ub.ac.id

Anjasmaya, R., & Andayani, S. Decision Support System for Determination of Vegetable

Commodities Based on Land Characteristics Using the PROMETHEE Method. JUITA: Journal of

Informatics, 6 (2), 127, 2018. https://doi.org/10.30595/juita.v6i2.3505

Asbur, Y., K. 15668-39956-1-Pb (Yenni-Khairunnisyah Article). Cultivation, 17 (1), 537–543, 2018. https://doi.org/https://doi.org/10.24198/kltv.v17i1

Dicky Nofriansyah, Prof. Dr. Sarjon Defit. Multi Criteria Decision Making. Yogyakarta: DEE REPUBLISH (CV BUDI UTAMA Publishing Group), 2017.

Dr. Kusrini. Concept and Application of Decision Support System. Publisher: CV ANDI OFFSET (Publisher ANDI), 2017.

Ir. Munawar. November Analysis of Object Oriented System Design with UML. Publisher: Informatika Bandung, 2019.

Luh Made Yulyantari, IGKG Puritan Wijaya ADH. Model Management in the System Decision Support. Yogyakarta: CV. ANDI OFFSET, 2019.

Matching, P., & Lahan, K. Spk To Recommend Land Suitability For Priority Plant

Commodities With Profile Matching And Ahp. Journal of Computer Science, 10 (2), 15–24, 2018. https://doi.org/10.24843/jik.2017.v10.i02.p03

Nurdiansyah, Y., Prihandoko, A. C., & Nurdiannata, M. R. DECISION SUPPORT SYSTEM FOR SUITABLE LAND SELECTION FOR MANGROVE PLANT USING SIMPLE ADDITIVE

WEIGHTING (SAW) METHOD. September, 224–232, 2018.

SOARES, T. G., & Dr. Azhari SN, M. T. Decision Support System for Land Suitability for Corn Commodity in Viqueque District. Etd Ugm, 547–559, 2015.

Downloads

Published

2020-09-01

How to Cite

Simbolon, R. S., & Sihotang, H. T. (2020). Decision Support System for Determination of Land Suitability of Andaliman Plants Using the Profile Matching Method in Merdeka District, Karo Regency. Jurnal Teknik Informatika C.I.T Medicom, 12(2), 64–71. https://doi.org/10.35335/cit.Vol12.2020.31.pp64-71