scholarly journals THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rehabilitation Program ◽  
Weighting Method ◽  
The Family ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
To Receive

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

scholarly journals Penerapan Algoritma Simple Additive Weighting untuk Membantu Dalam Menentukan Calon Penerima Bantuan Pangan Non Tunai

2020 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Andri Andreas ◽  
Antonius Wiryadinata ◽  
Halim Agung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Technical Problems ◽  
The Government ◽  
Food Needs ◽  
Simple Additive Weighting ◽  
To Receive

Bantuan Pangan Non Tunai (BPNT) is a program organized by the government in overcoming poverty and food needs. The BPNT program aims to reduce the burden of expenditure and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program there were still technical problems, including the determination of potential BPNT recipients who were wrongly targeted. To facilitate Government in determining prospective BPNT recipients, the authors make a decision support system using the Simple Additive Weighting method where this system generates ranking to choose citizens who are entitled to receive BPNT through calculating the criteria of each alternative. It is expected that this application can provide recommendations for prospective BPNT recipients who are more targeted.

scholarly journals Analisis Pemilihan Marketplace Terbaik pada Masa Pandemi COVID-19 Menggunakan Metode Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) dan Weighted product (WP)

2021 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Zahra Wafda Syamila ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Online Media ◽  
Ideal Solution ◽  
Weighting Method ◽  
A Value ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
Topsis Technique

Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.

scholarly journals Sistem Pendukung Keputusan terhadap Jenis dan Penerima dalam Penentuan Bantuan Desa Menggunakan Metode Simple Additive Weighting

2021 ◽  
pp. 115-120
Author(s):  
Randi Afri Nandes ◽  
Yuhandri Yunus
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Population ◽  
Total Weight ◽  
Weighting Method ◽  
Weight Value ◽  
Simple Additive Weighting ◽  
To Receive ◽  
Additive Form

Sidoluhur Village is a village located in Padang Jaya District, North Bengkulu which has a large population. The his village has 3 hamlets in one village. The problem in Sidoluhur Village is that it is difficult to determine the recipient of village assistance, because the number of aid proposals that are proposing is more than the number of people who receive assistance. There are so many proposals that have been submitted, this is of course very troublesome for village officials who choose to receive assistance. As problems develop, a decision support system is needed that will provide results on the computer to determine who should get help. A decision support system is a system for finding decision support, decisions are taken using a system designed based on usage needs, in helping to make decisions, decisions are designed based on predetermined criteria and alternatives and have a system that is structured and programmed in the form of weighting that will be accumulated and normalized and produce ranking. This study uses the Simple Additive weighting method, commonly referred to as a method that uses a weighted additive form. The form of the method is to calculate the total weight value of the work steps on the existing alternatives of all attributes. To explain about the completion of the method uses village aid recipient data. A lot of data that will be used as alternatives in this study are 9 candidates for village aid recipients. As a result, the recipients of aid should not be less than 0.5000, with the result that 7 recipients of assistance and 2 people who are not eligible to receive assistance.

scholarly journals SPK PENENTUAN PEMBERIAN PINJAMAN KEPADA ANGGOTA BUMDES DENGAN METODE SIMPLE ADDITIVE WEIGHTING

2019 ◽  
Vol 2 (2) ◽  
pp. 124-130
Author(s):  
Nurul Putri Utami ◽  
Hasanul Fahmi ◽  
Anita Sindar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Weighting Method ◽  
Attribute Weights ◽  
The World ◽  
Simple Additive Weighting ◽  
The Village ◽  
To Receive

Information technology as a tool in the quality of manpower one of the world of government in the village, especially in the field of village-owned enterprises which are still doing work with the manual system. In addition, where it really needs a decision support system to help human resources in utilizing technology to run a process quickly and efficiently. The approach to find the value of attribute weights, namely approaching the existence of subjective, objective approaches and approaches of integration between subjective and objective. Decision Support System Implementation with Simple Additive Weighting Method can be used to determine the granting of loans to members of BUMDes Maju Bersama by entering in the form of alternative data and then entering the weight value seen in the existing criteria, so that it can produce the calculation value and the ranking of the prospective loan recipient. This draft will show the final results of each member who will borrow funds, and the highest rating can be said of the members who will receive loan assistance, the lowest rating will be given the opportunity to make decisions later to receive loan assistance.

scholarly journals Kombinasi Metode Simple Additive Weigthing dan Weigthed Product Untuk Seleksi Proposal Program Kreatifitas Mahasiswa

2021 ◽  
Vol 5 (2) ◽  
pp. 564
Author(s):  
Raden Aris Sugianto ◽  
Roslina Roslina ◽  
Zakarias Situmorang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Weighting Method ◽  
Advantages And Disadvantages ◽  
Development Unit ◽  
Alternative Ranking ◽  
Simple Additive Weighting ◽  
Proposal Selection

This Research aims to develop a decision support system that can facilitate the proposal selection process and provide an alternative ranking for the selection results of student creativity program proposal selection. This decision support system uses a combination calculation of the Simple Additive Weighting and Weigthted Product methods, hereinafter referred to as Modified SAW. The criteria used in this assessment refer to the 2020 Student Creativity Program Guidebook. The data used in this decision support system uses proposal selection data in the Student Creativity Development Unit of Muhammadiyah University of North Sumatra in 2019 for 2020. This system was developed by determining criteria and weight determination using the Simple Additive Weighting method and then make improvements to the weight and determine the preference value using the Weighted Product method. Each of the SAW and WP methods certainly has advantages and disadvantages. The advantages of SAW with a simple and simple ranking process, can be applied to decision-making cases such as in the recommendation of selecting proposals with various attributes. While the use of Weighted Product (WP) is often used because the weight is calculated based on the level of importance and can evaluate the set of attributes by multiplying all criteria with alternative results as well as the power between weights and alternative multiplication results. This WP method can also be used in assisting in recommendation of proposal selection based on what is needed by the University. By utilizing the advantages and disadvantages of each method, this combination is able to produce an accuracy of 91% for the SAW method, 97% for the accuracy using the WP and 99% for the accuracy value for the combination of the SAW and WP methods. This decision support system using MOD SAW can help facilitate the proposal selection process and provide alternative ranking results. Further research is suggested for the development of a decision support system for proposal selection using a combination of different methods between SAW and other methods.

scholarly journals Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Muhammad L O Mardin ◽  
Achamad Fuad ◽  
Hairil K Sirajuddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Utility Theory ◽  
Selection Process ◽  
Housing Prices ◽  
Multi Attribute Utility Theory ◽  
Selection Decision ◽  
The City ◽  
Selection Of

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

scholarly journals DECISION SUPPORT SYSTEM IN ASSESSMENT OF EMPLOYEE PERFORMANCE AT MNC GROUP USING SAW (SIMPLE ADDITIVE WEIGHTING) METHOD USING WHITE BOX TESTING

2018 ◽  
Vol 3 (1) ◽  
pp. 125-138
Author(s):  
Nur Roqim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Weighted Sums ◽  
Risk Level ◽  
Weighting Method ◽  
White Box Testing ◽  
Simple Additive Weighting

MNC Group as a television media company, performs performance appraisal for each employee as a job evaluation material, which is carried out by the head of the division, one of which is the head of the technical division of 112 other employees. The process of evaluating employee performance at MNC Group is still done manually, which is using Microsoft Excel applications one by one which makes the length of the process. The employee's assessment and appraisal report does not display the ranking from the top to the bottom of all of the employees. Decision support system in evaluating employee performance in MNC Group using the SAW (Simple Additive Weighting) method with this white box test is made to assist the head of the division to expand employee appraisal capabilities. The employee performance appraisal process is carried out in a computerized, structured and systematic manner based on the assessment criteria previously determined by the MNC Group, namely the quantity of work, accuracy & time management, quality of work and efficiency. The SAW (Simple Additive Weighting) method is a weighted addition method by looking for weighted sums of performance ratings on each alternative on all attributes. So that it can be obtained from every employee at MNC Group. Testing of system results that have been made is very necessary to know that the system is running well. Tests carried out are white box testing which is based on checking the details of the design, using the control structure of the program design procedurally to divide the test into several test cases. So that the value of the test results is known, namely 2 with the type of procedure is a simple procedure and the risk level is low risk.

scholarly journals Simple Additive Weighting to Diagnose Rabbit Disease

2018 ◽  
Vol 31 ◽  
pp. 10002 ◽  
Author(s):  
Ramadiani ◽  
Dyna Marissa ◽  
Muhammad Labib Jundillah ◽  
Azainil ◽  
Heliza Rahmania Hatta
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
General Public ◽  
Disease Diagnosis ◽  
Weighting Method ◽  
Web Based ◽  
System Recommendation ◽  
Simple Additive Weighting ◽  
The Many

Rabbit is one of the many pets maintained by the general public in Indonesia. Like other pet, rabbits are also susceptible to various diseases. Society in general does not understand correctly the type of rabbit disease and the way of treatment. To help care for sick rabbits it is necessary a decision support system recommendation diagnosis of rabbit disease. The purpose of this research is to make the application of rabbit disease diagnosis system so that can help user in taking care of rabbit. This application diagnoses the disease by tracing the symptoms and calculating the recommendation of the disease using Simple Additive Weighting method. This research produces a web-based decision support system that is used to help rabbit breeders and the general public.

scholarly journals Implementasi Metode Profile Matching Untuk Menentukan Penerima Beasiswa Bidikmisi

2021 ◽  
Vol 8 (1) ◽  
pp. 54
Author(s):  
Elvis Pawan ◽  
Wahyu Wijaya Widianto ◽  
Patmawati Hasan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Profile Matching ◽  
Scholarship Recipients ◽  
Secondary Factor ◽  
Rank One ◽  
The Right ◽  
To Receive

Proses seleksi beasiswa bidikmisi secara manual, mulai dari pengajuan formulir sampai penetuan mahasiswa penerima beasiswa semua dikerjakan secara manual sehingga pada proses pemberian bantuan pendidikan kepada mahasiswa terkdang tidak objektif karena banyaknya minat mahasiswa dari tahun ke tahun yang mengajukan permohonan beasiswa bidikmisi, keterbatasan waktu yang dimiliki kerap menyulitkan tim dalam menentukan mahasiswa yang tepat untuk menerima beasiswa. Diperlukan sebuah SPK yang dapat mempermudah pekerjaan tim dan dapat membantu memperoleh penerima beasiswa secara objektif. Sistem pendukung keputusan yang diusulkan dengan menggunakan metode profile matching dengan mempertimbangkan beberapa kriteria seperti potensi akademik, ekonomi keluarga, jumlah tanggungan orang tua, kelengkapan berkas, dan transportasi ke kampus. Penelitian ini menghasilkan sebuah sistem pendukung keputusan dan berdasarkan data yang dimasukkan pada sistem jika nilai core factor (CF) sebesar 65% dan secondary factor sebesar 35%, maka dari data yang ada terdapat lima orang yang berhak memperoleh beasiswa menurut rangking satu sampai lima yaitu M03, M09, M06, M07, dan M08. Dari pengujian yang dilakukan sebanyak 84% responden menjawab positif terhadap hasil sistem pendukung keputusan karena dapat membantu mereka untuk menjalakan tugas dan tanggungjawab sebagai tim seleksi. Kata kunci— Profile_Matching; Beasiswa; SPK; BidikmisiThe manual selection process for Bidikmisi scholarships, starting from submitting forms to determining scholarship recipients, is all done manually so that the process of providing educational assistance to students is sometimes not objective because of the high interest of students who apply for Bidikmisi scholarships from year to year. makes it difficult for the team to determine the right student to receive the scholarship. A DSS is needed that can facilitate the team and can help objectively obtain scholarship recipients. The proposed decision support system uses the profile matching method by considering several criteria such as academic potential, family economy, number of dependents of parents, completeness of files, and transportation to campus. This research produces a decision support system and based on the data entered in the system if the core factor (CF) value is 65% and the secondary factor is 35%, then from the existing data, five people are entitled to receive scholarships according to rank one to five, namely M03, M09, M06, M07, and M08. From the tests carried out, 84% of respondents answered positively to the results of the decision support system because it can help them carry out their duties and responsibilities as a selection team.Keywords— Profile Matching; scholarships; DSS; Bidikmisi

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