SIMPLE ADDITIVE WEIGHTING METHOD DECISION SUPPORT SYSTEM IN CEMENT SELECTION AT UD.WENDY JAYA

: Technology is a tool for processing, storing, and modifying data to obtain information. Decision Support System (DSS) is a model-based system with data processing procedures and considerations to assist managers in decision-making. In the context of UD Wendy Jaya Store, which still uses manual methods for selecting superior cement, this is considered less effective and inefficient, resulting in cement selection that does not meet the criteria and lacks accuracy. This research employs a quantitative method with the aim of determining decisions for selecting superior cement and designing a decision support system using the Simple Additive Weighting (SAW) method based on predetermined criteria. The implementation results show that the Decision Support System for Determining Superior Cement provides convenience and speed in selecting superior cement at UD Wendy Jaya Store according to the expected criteria. The results of calculations using the Simple Additive Weighting (SAW) method rank each alternative, with the most superior alternative being three-wheel cement, considering several criteria such as price, compressive strength, fineness, water capacity, and setting time.

One method that can be used in decision making for determine election cement superior that is with method Simple Additives Weighting (SAW) , according to research conducted by Zulfi Azhar, Neni Mulyani, Jeperson Hutahaean, and Ade Mayhaky with the title "The Best E-Commerce Selection Decision Support System Using the MOORA Method" this research uses the moora method where this method can produce accurate results, as this research must prioritize the selection of a method that is better than previous research, namely the SAW method where this method is very suitable to be used in the case of selecting superior cement at UD. Wendy Jaya [9] .
The aim of this research is first to determine the decision to select superior cement and design a decision support system for selecting superior cement at UD stores.Wendy Jaya is based on predetermined criteria, then the second is that by building this system it will be useful for shops in determining superior cement at UD. Wendy Jaya and also the last one applied the simple additive weighting (SAW) method to determine decisions in selecting superior cement at the UD.Wendy Jaya store, According to research conducted by Nursaka Putra, Dedi Rahman Habibie, and Ika Fitri Handayani by title "Supplier selection decision support system at TB. NAMEENE with the SAW method", among other things , helps companies make the best decisions then choose which supplier will send on time and implement the application.The latest research carried out has updates or developments, including this cement selection system which can really make it easier for shop owners to guarantee which cement is the most superior, then with a website-based system the owner can access the system anywhere and at any time and is also easy to use.Even though they both use the same method, they are different from the case studies carried out in previous research [10] .

METHOD
The problem solving technique in this research namely quantitative, a method that relies on objective measurements and mathematical (statistical) analysis of data samples obtained through questionnaires, polls, tests, test hypotheses proposed in the research [11].The data collection methods used are as follows:

Interview
Interview had done For gather data primary with method interview The resource person is directly the owner of the UD Shop.Wendy Jaya is Mr Waluyo on December 13, 2023, with submit a number of question Which related by election cement superior in UD.Wendy Jaya.

Observation
In this research, direct observation of objects is carried out research related to the selection of superior cement at UD. Wendy Jaya.

Documentation
The retrieval of data obtained through determination data election cement superior in UD.Wendy Jaya.
The Simple Additive Weighting (SAW) method is one method in method taking decision Which most simple in step solving the method, SAW only do normalization process by having i matrix s which is seen from columns and rows done withdrawal mark highest called with mark maximum and drawing the lowest value in a row is called with a minimum value, normalizes the values in a matrix to compare and evaluate the relative performance of the various entities or variables represented by the matrix.
This a commonly used technique in data analysis , normalize the value if the benefit value or includes the benefit criteria then This is done by dividing each row value by the highest value owned by the row, And If is criterion value form cost the lowest value of the row is divided with mark line [12].Algorithm method Simple Additive Weighting (SAW ) is an algorithm with a method summation weighted [13].

Method
This need process normalization matrices decision (x) to something scale Which can compared to with all ratings alternative Which there is [14] .
Step solution SAW given equality formula (1) as following: (1) Information : Rij : ratings performance normalized MaxX ij : maximum value for each row and column MinX ij : minimum value of each row and column X ij : rows and columns of the matrix Benefits : If mark biggest is best Cost : If mark smallest Mark preference For every alternatives (Vi) given as: (2) Information: Vi : mark rank For every alternative Wj : weight value of each criterion rij : matrix normalization value Greater Vi value indicates that alternative "A" more selected h [15].The data contains 5 basic criteria for determining superior cement at UD. Wendy Jaya and data on 10 alternatives that were sampled in determining superior cement that had been approved by UD.Wendy Jaya criteria for determining superior cement at UD. Wendy Jaya : The first step that must be taken is to give weight to each criterion in table 1 After giving weight to each criterion, the next step is to determine the scale and weight value for each criterion.The weight scale has its own If j is benefit attribute If j is cost attribute meaning and value, the explanation in question can be seen in the following tables: p ranking at the ranking stage there is a process of adding up the results of multiplying the normalized matrix with the weight values.The results of these calculations are then ranked.The alternative with the highest value is the best recommendation in determining decisions [16] .
The results of calculating the Preference value (V) for each alternative can be made in the following table : From table 9, it can be seen that A001 has the highest value among the other alternatives.So from the case example it can be concluded that the SAW method has provided the best recommendation for A001.

RESULTS AND DISCUSSION
The superior cement selection system at UD.The resulting Wendy Jaya is web-based, which can be accessed via a web browser.Has several features according to object needs, namely admin management, owner management, and superior cement ranking results.This system is also equipped with a login menu as a security wall as well as a way to verify the level of system users [17] .
The ranking of all cement calculation results at UD. Wendy Jaya is as follows: first place, namely Tiga Wheel Cement, then second place, namely Holcim Cement, next in third place is Red and White Cement, next in fourth place is Garuda Cement, next in fifth place is Rajawali Cement, next in sixth place is Elephand Instant Cement, next in seventh place is Semen Gresik, next in eighth place is Semen Batu Raja, next in ninth place is Semen Padang, next in tenth place is Semen Jakarta.Image 1. Main menu Form contains menus and sub menus found in the admin system that have been previously designed.Users can choose menus provided by the system that has been created.Image 2. Calculation menu Form a display of the results of the criteria and alternative values, therefore the main ranking results obtained from this calculation are the highest value, namely three-wheel cement (A001), where the cement meets or is superior to the criteria of price, pressure strength, fineness, capacity water and hardening time. .