Journal of Physics: Conference Series PAPER • OPEN ACCESS Decision Support System for Determining the Quality of Salt in Sumenep Madura-Indonesia To cite this article: Ach. Khozaimi et al 2020 J. Phys.: Conf. Ser. 1477 052057 View the article online for updates and enhancements. This content was downloaded from IP address 107.173.136.198 on 18/05/2020 at 12:48 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 Decision Support System for Determining the Quality of Salt in Sumenep Madura-Indonesia Ach. Khozaimi1, Yoga Dwitya Pramudita1, Eka Mala Sari Rochman1*, and Aeri Rachmad1 1 Faculty of Engineering, University of Trunojoyo Madura, Indonesia, Raya Telang Street PO BOX 02 Kamal-Bangkalan-Indonesia 69192 *ekamala.sari@yahoo.com Abstract. Salt is one of Indonesia's major commodities. However, the quality of industrial salt in Indonesia is still an obstacle, so the need for industrial salt still relies on imported salt, especially from Australia. Quality improvement is done through purification using the recrystallization method. The use of a method that is still simple results in the salt being produced still has an as-is quality. Quality is shown from the appearance of salt physically and chemically. Good salt is shown by the crystal form which is smooth and has clear white color. Therefore, good knowledge of salt quality must be known early, in addition to being able to meet the Indonesian National Standard (SNI),in this way salt farmers will more easily improve the quality of salt produced and can differentiate salt designation based on its quality category. This study takes the theme of how to make decisions to determine the quality of salt, so that a decision support system will be built to assist in determining good salt quality by using the Simple Additive Weighting (SAW) method. This method can support the decision making of salt quality determination based on the weight of each attribute. Morever, the total score of the end result can produce a good alternative decision in accordance with specified criteria, so that it will produce salt quality. 1. The first section in your paper Salt is an important commodity for people's lives. 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 has 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 islands in Indonesia with an area of 15,000 hectares [3]. that is why 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 focus of its studies. Various kinds of salt quality are produced in Madura, but so far it is not well recorded. Based on NaCl content, water content and color of salt, there are three types of salt quality, namely: 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 SAW method is a method of Multi-Attribute Decision Making (MADM) Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd 1 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 [5]. This method is also often known as the weighted sum method [6]. The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes [7]. Making Decision Support System (DSS) aims as a tool for government agencies and related agencies to determine the quality of salt KP I, KP II, KP III. In addition, this system is expected to help the government to determine and map regions and / or salt-producing land based on its quality. 2. 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 center of excellence for Salt Innovation [9]. University of Trunojoyo Madura as one of the State Universities in Madura makes salt as one of its study focuses [10]. Based on NaCl content, water content and salt color, there are three types of salt quality, namely: KP I, KP II and KP III [4]. 2.1. Simple Additive Weighting (SAW) Simple Additive Weighting 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 scale that can be compared with all available 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 use self-methods to solve various types of problems, such as determining employee salaries with achievement criteria, discipline, attitude, and length of work can be completed using the SAW method [12]. The SAW method is also used to determine egg quality with criteria for 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 following are the completion steps using the SAW method: 1) Determine alternatives, namely Ai; 2) Determine the criteria as a reference in decision making, namely Cj. 3) Faithful criteria are given a matching rating value for each alternative. 4) Determine the weight of preference or level of importance (W) for each criterion. W = [W¹ W² W³… Wj] A1 A2 ...... An Table 1. Comparison of Pairwise Matrix C1 C2 ...... Cn x11 x21 ...... a1n x12 x22 ...... a2n ...... ...... ...... ...... xn1 xn2 ....... xnn 5) Make a match rating table of each alternative on each criterion. 6) The matching rating table of each alternative in each criteria will be the basis for making a decision matrix X. The value of X every alternative in each criterion (C j) has been determined, where, i = 1,2, .... m and j = 1,2, ..... n. 2 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 (1) X= 7) Normalize the decision matrix X by calculating the value of the nominalized performance rating (Rij) from alternative Ai on the Cj criterion. (2) a. b. c. d. e. = Normalized performance rating value. x_ij = Attribute value owned by each criterion. Maxi x_ij = The biggest value of each criterion. Mini x_ij = The smallest value of each criterion. It is said that the profit criteria if the value of Xij provides benefits for decision makers, on the contrary the cost criteria if Xij incurs costs for decision makers. f. If it is in the form of profit criteria, the value of Xij is divided by Maxi (X ij) from each column, while for the cost criteria, the value of Minᵢ (Xij). 8) The results of the normalized performance rating (Rij) form a normalized matrix (R) (3) rij = Normalized performance rating r = Rating 9) The final preference value (Vi) is obtained from the sum of the multiplications of normalized matrix row elements (R) with preference weights (W) corresponding to the matrix column elements (W). (4) vi = Alternative Final Value Wj = Weight that has been determined rij = Matrix normalization 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 because it is based on criteria and weighting of the required level of importance. 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]. 3 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 2.2 Salt quality criteria and weighting The salt quality criteria are as follows: 1. C1: NaCL 2. C2: Water content 3. C3: Salt Color Here are the total weights for each criterion: 1. Rating of NaCl criteria weights Table 2. Rating of NaCl criteria weights NaCL Weight NaCL 98 – 99 90 NaCL 94 – 98 60 NaCL 90 – 94 30 2. Water Content Assessment Table 3. Water Content Assessment Kandungan Air Weight Water content 0 – 04 90 Water content 05 - 06 60 Water content 06 - 10 30 3. Assessment of salt color weight Table 4. Assessment of salt color weight Salt color Weight Crystal color 90 Brown 60 Brown color mixed with mud 30 3. Result and discussion Implementation of the decision support system program for determining the quality of salt using SAW is based on a design that has been made previously. The several interfaces of the system that have been built, consist of the following. Figure 1 is the main menu page. Figure 1. Main page Figures 2 and 3 are the Criteria and Parameter Weight List page. The criteria weight list page is a form that is used to view the weight value of each criterion as well as the value of each parameter. 4 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 Figure 2 Page list weight criteria criteria Figure 3 Page list parameters Whereas figure 4 is the Normalization Results page. Normalized results page is a form that is used to see the value of data normalization data that has been inputted. ee Figure 4 Normalization result page Figure 5 Matrix result page Figure 5 is the Martrik Results page. Matrix result page is a form that is used to see the value of the data matrix results that have been normalized for each weight. While Figure 6 is a form of determining the quality of salt. . Figure 6 Page List of lists determining salt quality 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 of the analyzes produced include: 5 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 1. Can display detailed information about salt 2. Can input the value of criteria and parameter weights. 3. Can process using SAW about salt quality. 4. Can show the results of the decision which quality of salt is the best. 4. Conclusion The initial process that can be done by the system is data input. The data input process can only be done by the admin. The data entered into the system is salt data along with complete information about the criteria and parameters. Next is the calculation process using the SAW method. The conclusions which were obtained from this decision support system include: 1. Providing the criteria and parameters about salt can provide the best quality salt. 2. Functionality tests which can make all system functions work well. References [1] K. Sumada and R. Dewati, “Garam Industri Berbahan Baku Garam Krosok Dengan Metode Pencucian Dan Evaporasi,” J. Tek. Kim., vol. 11, no. 1, pp. 30–36, 2016. [2] N. K. Pakaya, R. Sulistijowati, and F. A. Dali, “Analisis Mutu Garam Tradisional di Desa Siduwonge Kecamatan Randangan Kabupaten Pohuwato Provinsi Gorontalo,” J. Ilm. Perikan. dan Kelaut., vol. 3, no. 1, pp. 1–6, 2015. [3] N. R. Buwono and R. Q. Nurhasanah, “The Quality of Indonesia Salt: Study of Heavy Metal Lead (Pb) Levels in the Salt,” J. Ilm. Perikan. Dan Kelaut., vol. 11, no. 1, pp. 106–111, 2018. [4] A. R. Tukul Rameyo Adi, Agus Supangat, Budi Sulistiyo, Bangun Muljo S, Husni Amarullah, Tri Heru Prihadi, Sudarto, Eddy Soentjahjo, “Buku Panduan Pengembangan Usaha Terpadu Garam Dan Artemia,” Jakarta, 2006. [5] A. Setyawan, F. Y. Arini, and I. Akhlis, “Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara,” Sci. J. Informatics, vol. 4, no. 1, pp. 34–42, 2017. [6] Nurmalini and R. Rahim, “Study Approach of Simple Additive Weighting For Decision Support System,” Int. J. Sci. Res. Sci. Technol., vol. 3, no. 3, pp. 541–544, 2017. [7] A. Afshari, M. Mojahed, and R. Yusuff, “Simple additive weighting approach to personnel selection problem,” Int. J. Innov. Manag. Technol., vol. 1, no. 5, pp. 511–515, 2010. [8] R. G. Pangestu, “Perlindungan Hukum terhadap Petambak Garam Rakyat Dikaitkan dengan Berlakunya Peraturan Pemerintah Nomor 9 Tahun 2018 tentang Tata Cara Pengendalian Impor untuk Komoditas Perikanan dan Pegaraman sebagai Bahan Baku dan Bahan Penolong Industri,” Dialogia Iurid. J. Huk. Bisnis dan Investasi, vol. 10, no. November, pp. 77–95, 2018. [9] Admin, “Madura Menjadi Penyuplai Garam Terbesar,” Kementerian Riset, Teknologi, dan Pendidikan Tinggi., 2018. [Online]. Available: https://www.ristekdikti.go.id/kabar/maduramenjadi-penyuplai-garam-terbesar/. [Accessed: 13-Aug-2019]. [10] H. UTM, “UTM Lakukan FGD Penguatan Kelembagaan Iptek Dalam Mendukung Pusat Unggulan Inovasi Daerah,” Ttrunojoyo.ac.id, 2017. [Online]. Available: https://www.trunojoyo.ac.id/pojok-kampus/utm-lakukan-fgd-penguatan-kelembagaan-iptekdalam-mendukung-pusat-unggulan-inovasi-daerah.html. [11] F. Nugraha, B. Surarso, and B. Noranita, “Sistem Pendukung Keputusan Evaluasi Pemilihan Pemenang Pengadaan Aset dengan Metode Simple Additive Weighting ( SAW ),” vol. 02, no. 54, pp. 67–72, 2012. [12] N. Setiawan et al., “Simple Additive Weighting as Decision Support System for Determining Employees Salary,” Int. J. Eng. Technol., vol. 7, no. January, pp. 309–313, 2018. 6 ICComSET 2019 Journal of Physics: Conference Series 1477 (2020) 052057 IOP Publishing doi:10.1088/1742-6596/1477/5/052057 [13] S. Abadi, M. Huda, K. A. Jasmi, S. Shakib, M. Noor, and J. Safar, “Determination of the best quail eggs using simple additive weighting,” no. August, 2018. [14] R. Hidayat, “Sistem Pendukung Keputusan Penerima Beasiswa Murid Berprestasi dengan Metode Simple Additive Weighting,” J. Sisfotek Glob., vol. 7, no. 2, pp. 13–17, 2017. [15] H. Wahyu, A. Prayogo, L. Muflikhah, and S. H. Wijoyo, “Implementasi Metode Simple Additive Weighting ( SAW ) Untuk Penentuan Penerima Zakat,” JPTIIK, vol. 2, no. 11, pp. 5877–5883, 2018. 7