Model Assessment of Land Suitability Decision Making for Oil Palm Plantation Hamdani, Anindita Septiarini, Dyna Marisa Khairina Department of Computer Science, Mulawarman University Samarinda, East Kalimantan, Indonesia hamdani@unmul.ac.id, anindita@unmul.ac.id, dyna.ilkom@gmail.com Abstract—Model assessment of Land suitability (MAOLS) is a valuable tool for palm land, and it is used to manage the natural resource in the land clearing of oil palm plantations. This model is applied to a decision support system (DSS) for oil palm plantation land clearing problem. This issue is intended to avoid excessive land clearing, therefore the efficient analysis in decision making is necessary. DSS model was used with Multi-Criteria Decision Making (MCDM) using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for 14 parameters on land’s class criteria and has four alternatives of oil palm plantations was applied. The first phase of testing uses direct weighting on TOPSIS, and it obtained the fourth land as the potential for oil palm plantations clearing with the scoring values are 0,578. The second stage of the Analytical Hierarchy Process (AHP) method is used to determine the effectiveness of the proposed model. This result showed the effectiveness of the similarity ranking on alternative output in recommending an alternative to the manager to give consent to the land clearing of oil palm plantations in East Kutai, Indonesia. Keywords—assessment; land suitability; oil palm plantations; TOPSIS. I. INTRODUCTION An assessment model of DSS has been widely applied to the analysis process in making a decision on the other issues such as environmental impact assessment [1], environmental impact assessment of agriculture [2] or assessment of tobacco fields [3]. This problem makes the assessment model for conformity assessment classification of oil palm land becomes appropriate and effective in selecting the location of oil palm so that the ecosystems contained over there can be properly maintained if not all of the land is used. The misuse of land clearing can cause forest changing to agriculture and other environmental damaging. It can interfere with a variety of its species inside, such as the problem of conversion of forest to agriculture [4], [5]. In the economic point of view, the oil palm plantation is one of the most important assets for regional development in Indonesia, especially in Sumatra and Kalimantan. According to data from the Central Statistics Agency (Badan Pusat Statistika) from Indonesia on paper [6] mentioned that the distribution company of the oil palm plantations clearing in Indonesia such as in Sumatra island has the highest ratings that reached 63%. Meanwhile, the permanent effects of excessive land clearing every year can damage the environment and social aspect, and it takes place in the area location of the locals [7]. it causes the decrease of forest land and changes the ecosystem, soil pH, etc. Other effects may also cause soil erosion which is caused by the unavailability of roots left over inside of the forest and the social aspect may cause the society lose their plantation [8]. Multi-Criteria Decision Making (MCDM) method with TOPSIS is used for assessing the suitability classification of oil palm plantation. The proposed MAOLS is used to support decision-making in the assessment of the type of oil palm plantations in East Kutai, East Kalimantan province of Indonesia. The objective of land suitability assessment helps the government or investors to choose the location of oil palm plantations based on the criteria of land types. The proposed model assessment of this study is shown in Fig. 1. This model is used to provide an assessment of each criteria types of land for the stakeholders can determine the location of suitable land. The final result of this model is the ranking of land based on the TOPSIS direct-weighting method paired with and it uses weights that paired with the comparison parameters contained in the Analytical Hierarchy Process (AHP). The proposed model will perform decision analysis, the weighting criteria and class suitability assessment are based on the results of data belonged. Fig. 1. Proposed model assessment of palm plantation 2016 2nd International Conference on Science in Information Technology (ICSITech) 109 978-1-5090-1721-8/16/$31.00 ©2016 IEEE