SALT QUALITY DETERMINATION USING SIMPLE ADDITIVE WEIGHTING (SAW) AND ANALYTICAL HIRARKI PROCESS (AHP) METHODS

Salt has a salty taste obtained by drying seawater into mineral crystals. However, the quality of industrial salt in Indonesia is still an obstacle, so the need for industrial salt still relies on imported salt. The quality of salt is shown from physical and chemical appearance. Good salt is shown by the crystal form which is smooth and has a clear white color. Good salt quality knowledge must be known so that it can meet Indonesia's national standards and can distinguish salt designation based on its quality category. This study compares the Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP) methods to determine the highest quality salt. The SAW method gives weight to each of its attributes, the total score finally produces an alternative decision in accordance with the criteria so that it produces a quality salt. The AHP method starts by creating a hierarchical structure that has the main objectives, criteria and alternatives to be discussed. Pairwise comparisons are used to form relationships in the structure. So, it will form a matrix where the ratio scale is derived in the form of the main vector eigen or function-eigen. The accuracy of the test results showed that the SAW method is better with an accuracy of 80% compared to the AHP method of 76%


INTRODUCTION
Salt is an important commodity for people's life. In addition to consumption, salt is also needed in many industries, such as preservatives, cosmetics, medicines and as a mixture of other chemicals [1]. Indonesia consists of many islands, so it should be able to meet the needs of national salt, but in reality Indonesia is still importing salt to meet national salt needs [2]. In other countries, salt can be produced through underground mining deposits and also through the process of seawater crystallization [3].
Madura is one of the largest salt producing and supplying island in Indonesia with an area of 15,000 hectares [3], that makes this island is known as a salt island. In Madura, there is also the Salt Science and Technology Center of Excellence which was initiated by the University of Trunojoyo Madura (UTM) [3]. In addition, UTM also makes salt as one of the focuses of its studies. Various kinds of salt quality are produced in Madura, but so far it is not well recorded.
NaCl content, water content, and color of salt can determine the salt quality into three types, they are KP I, KP II and KP III [4]. In this research, a decision support system for determining the quality of salt will be built using a simple additive weighting (SAW) method with a case study of salt produced by Madura salt farmers. The Simple Additive Weighting (SAW) method is a method of Multi-Attribute Decision Making (MADM) [5]. This method is also often known as the weighted sum method [6]. The basic concept of the Simple Additive Weighting (SAW) method is to find the weighted sum of the performance ratings for each alternative on all attributes [7].
Seeing the existing problems, the purpose of this study is to offer a solution to choose the best salt with the parameters that based on salt content in the form of NaCI, H2O, Ca and Mg..

MATERIAL AND METHODS
Salt is not only for consumption materials, but also as raw material for various industries [8]. Madura is a salt producing area. The government through the ministry of technology research and higher education has made Madura as a place of Excellence for Salt Innovation [9]. University of Trunojoyo Madura (UTM) as one of the State Universities in Madura makes salt as one of its study focuses [10]. NaCl content, water content, and color of salt can determine the salt quality into three types, they are KP I, KP II and KP III [4].

SIMPLE ADDITIVE WEIGHTING
Simple Additive Weighting (SAW) is known as the weighted sum method. The basic idea of the SAW method is to find a weighted sum of the performance ratings for each alternative on all criteria. There are two attributes in the SAW method, namely the benefit criterion attribute and the cost criterion attribute [11]. The SAW method requires the decision matrix normalization process (X) to a level that can be compared with all existing alternative ratings. This SAW method requires decision making to find weight for each attribute. The total score for the alternative is obtained by adding up all the multiplication results between the rating (which can be compared across attributes) and the weight of each attribute. The rating of each attribute must be dimension free in the sense that it has passed the previous matrix normalization process.
Many studies using self-methods to solve various types of problems, such as determining employee salaries with achievement criteria, discipline, attitude, and length of work that can be completed using the SAW method [12]. The SAW method is also used to determine egg quality by the criteria of Size of Eggs, Styling or Color Eggshells, Eggshell Thickness, Extensive Shells, Shape Eggs and Eggshell Cleanliness [13]. The same method is also used in research to determine the recipient of the achievement scholarship with the criteria for the average value of the last report card, Attendance, Good Behavior, Good Character and Active in Organizations (Extracurricular) [14]. SAW method has a shorter execution time compared to the Weighted Product (WP) method [5]. The completion steps using the SAW method can be seen below:: = Alternative Final Value = Weight that has been determined = Normalisasi matri Weight that has been determined.. The advantage of the Simple Additive Weighting (SAW) method compared to other decision support system methods lies in its ability to conduct assessments more precisely which is based on the criteria of value and weighting the level of importance required. In the SAW method, it can also select the best alternative from a number of alternatives then a ranking process is carried out in which the total weighted values of all criteria are added after determining the weight value of each criteria [15].

ANALYTICAL HIRARKI PROCESS (AHP)
Analytical Hierarchy Process (AHP) AHP is a practical approach to solving complex decision problems that include alternative comparisons [16]. AHP also allows decision making that presents a hierarchical relationship between factors, attributes, characteristics or alternatives in the decision making environment. AHP is a process of identifying to understand and provide estimates of overall system interaction. The procedure in using the AHP method consists of several stages, namely: 1. Arrange the hierarchy of the problems. RESULT AND DISCUSSION a. SAW -The first stage is determining the criteria, the criteria in question are the criteria for salt content to be used as input for input, the criteria are NaCI, H2O, and color The system built in this study is a decision support system for determining salt quality which is a web-based system and uses the SAW method.
Based on the development of a system test, some results of the analysis are: