scholarly journals Sistem Pendukung Keputusan Bagi Penerima Bantuan Siswa Miskin (BSM) Menggunakan Metode Simple Additive Weighting (SAW) di SMA Negeri 1 Raren Batuah Kabupaten Barito Timur

2019 ◽  
Vol 3 (2) ◽  
pp. 114-118
Author(s):  
Ebet Tri Cahyanu ◽  
Siska Dewi Lestari ◽  
Herry Hermawan

Raren Batuah 1 High School is a senior high school education level located at Unsum Village, Raren Batuah District, East Barito Regency, at Raren Batuah 1 High School, assistance is provided in the form of subsidies for Poor Student Assistance for the smooth teaching and learning process for students less fortunate. To help the selection process for recipients of Poor Student Assistance, a decision support system has been designed using the Simple Additive Weighting (SAW) method by prioritizing the criteria of parental income, the number of dependents of parents, and the value of student report cards that will be used for a reference decision making for the right recipient of Poor Student Assistance. Decision Support System Application (DSS) for Poor Student Assistance Recipients was designed using Flowchart and implemented using the Microsoft Visual Basic.Net 2010 programming language.

2021 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Ronny Addenan ◽  
◽  
Wilda Susanti ◽  

PT.Yanmarindo Perkasa is a company in the sale of diesel engines, generators, tooling tools and engine spare parts. Many suppliers want to distribute their goods through PT.Yanmarindo Perkasa, thus demanding the company to choose the right supplier, in order to ensure the smooth fulfillment of stock items. The process of selecting suppliers is still done manually with criteria limited to quantitative criteria, so that the process takes a long time and the results are not precise. The purpose of this study is to build a decision support system for supplier recommendations quickly and precisely in meeting the company's needs. The supplier selection process uses the Rank-Order Centroid (ROC) method in weighting the criteria and the Additive Ratio Assessment (ARAS) for ranking. ARAS value obtained is the K value that is ranked to get the best supplier by using a computerized decision support system. The application of these two methods can speed up the results of decisions, does not take a long time and the results obtained are also maximum.


2018 ◽  
Vol 5 (2) ◽  
pp. 213-223
Author(s):  
Aini Aidilah Fitri ◽  
I Made Ardwi Pradnyana ◽  
I Gede Mahendra Darmawiguna

BAZNAS in Buleleng Regency has a problem program "Buleleng Cerdas". The problems are to make a decision to choose prospective scholarship recipients. The program activities include Student Assistance, One Family One Scholar, and Student Assistance with Achievement. The problems that arise because the selection of the prospective recipients are still manual and the assessment of the final results obtained is relatively long, still difficult to identify prospective recipients who are eligible in accordance with the existing quota, because the candidates Scholarship recipients are spread in the Buleleng region for private and public schools. The purpose of this research is to develop a Decision Support System for "Buleleng Cerdas" Program Social fund Recipient Candidates with AHP and SAW Method and to know the responsiveness of users. This system is supported by a method of decision making, namely the AHP method which is used to find the weights in each criterion, and the ranking calculation with the SAW method. For the testing process, four test process stages are performed: (1) black box test, (2) white box test  (3) test UEQ percentage is positive impression & SUS percentage is 93%, (4) suitability testing of manual calculations on the system is appropriate.


2021 ◽  
Vol 8 (1) ◽  
pp. 54
Author(s):  
Elvis Pawan ◽  
Wahyu Wijaya Widianto ◽  
Patmawati Hasan

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


2019 ◽  
Vol 10 (1) ◽  
pp. 309-318
Author(s):  
Dwi Krisbiantoro ◽  
Wiga Maulana Baihaqi

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.


2019 ◽  
Vol 1 (2) ◽  
pp. 87-97
Author(s):  
Arief Herdiansah ◽  
Nurdiana Handayani ◽  
Alfan Kurniawan

Employee selection is an activity to get human resources for a company. Researchers conducted research at PT. Gajah Tunggal Tbk where currently the selection process still uses the conventional method, the current assessment of participants uses technical and non-technical tests with interview methods but at present the company does not yet have a standardized weighting of values tested, so companies sometimes have difficulty determining who should receive from the test participants. Based on the above conditions, researchers conducted decision support system design research using the Weighted Product method to assist companies in getting the right employees according to the employees' technical needs and abilities. Decision support system development refers to the results of data collection using qualitative and quantitative data collection methods. Development of decision support system is built based on the waterfall system development model using the PHP programming language. The system testing method uses the black box method. The design of decision support system from the recruitment selection generator from this study is expected to be a reference for the selection process of employees in similar industries with the place of research conducted by researchers.


Kilat ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 132-138
Author(s):  
Nurjaya Nurjaya ◽  
Maulana Ardhiansyah ◽  
Rezki Suryana

Teacher is an important element in the support system, therefore function and position of teachers in improving the quality of learners need to be considered seriously. Basically, teachers are professionals in the field of education that has the task of teaching, educating, and guiding students to become a man is impersonal. Thus, teachers have an important position and responsibilities of a very great deal in the success or failure of educational programs. In order to facilitate the selection process for the teachers, the school can use the Decision Support System Decision Support System that is used as a tool for decision makers to expand the capabilities of the decision makers, but not to replace the judgment of the decision makers. The method used is the Simple Additive weighting, Simple Additive Weighting (SAW) suitable for decision-making process because it can determine the weight values ​​for each attribute, followed by indexing process that will select the best alternative from a number of the best alternative. It can be concluded from this study that the SAW method is very relevant to solve the problem of decision makers.


2015 ◽  
Vol 1 (1) ◽  
pp. 67
Author(s):  
Wiwit Supriyanti

Dalam setiap lembaga khususnya universitas, ada banyak beasiswa yang ditawarkan kepada mahasiswa. Ada beasiswa yang bersumber dari pemerintah serta dari pihak swasta. Beasiswa ini dapat diperoleh apabila calon penerima dinilai memenuhi syarat yang telah ditentukan, sebagai contoh: IPK, pendapatan orang tua, jumlah saudara dan jumlah tanggungan orang tua, keaktifan mengikuti organisasi mahasiswa, prestasi dan lain-lain. Saat ini diperlukan aplikasi untuk mengembangkan suatu sistem pendukung keputusan yang dapat memberikan rekomendasi beasiswa agar tepat sasaran dengan banyak kriteria yang dijadikan pertimbangan. Aplikasi yang dibangun untuk menyeleksi penerima beasiswa ini menggunakan program aplikasi lazarus. Metode yang dipilih untuk menyelesaikan permasalahan dengan banyak kriteria adalah Simple Additive Weighting (SAW), salah satu metode yang dapat digunakan untuk memecahkan masalah Fuzzy MADM. Metode ini dipilih karena dapat menentukan bobot untuk setiap atribut, diikuti peringkat alternatif yang akan memilih penerima beasiswa berdasarkan bobot yang telah dibuat untuk mendapatkan hasil yang lebih akurat yang akan menerima beasiswa.In any particular university institutions, there are many scholarships are offered to students. There are scholarships from government sources as well as from the private sector. This scholarship can be obtained if considered eligible recipients who have been determined, for example : GPA, parental income, number of siblings and the number of elderly dependents, active following student organizations, and other accomplishments. Currently the application is necessary to develop a decision support system that can provide recommendations for the right target scholarships to many criteria taken into consideration. Applications built for selecting awardees lazarus application program. The method chosen to solve the problem with a lot of criteria is Simple Additive Weighting (SAW), one of the methods that can be used to solve the problem of fuzzy MADM. This method was chosen because it can determine the weights for each attribute, followed by alternative rankings will select scholarship recipients based on the weight that has been made to obtain more accurate results that will receive the scholarship.


2019 ◽  
Vol 10 (2) ◽  
pp. 110-119
Author(s):  
Sudin Saepudin ◽  
Dudih Gustian ◽  
Heri Firmansyah

Bantuan rumah tidak layak huni adalah salah satu program pemerintah untuk menekan angka kemiskinan di Indonesia, namun permasalahan yang ada bahwa proses yang selama ini dilakukan oleh pihak Kelurahan masih dilakukan secara subyektif dengan hanya mempertimbangkan hasil survey. Oleh karena itu, bagi pihak kelurahan diperlukan suatu sistem pendukung keputusan agar seleksi dapat dilakukan secara efisien secara sistemik.  Adanya metode Multiple Attribute Decission Making, menjawab semua permasalahan tersebut. Dari beberapa metode Multiple Attribute Decission Making, Simple Addictive Weighting dipilih untuk diterapkan kedalam sistem pendukung keputusan. Sistem pendukung keputusan dibuat menggunakan metode air terjun. Tujuan penelitian ini agar pihak kelurahan dapat menyalurkan bantuannya kepada yang berhak menerimanya, sehingga dengan adanya sistem pendukung keputusan berbasis web untuk memilih penerima bantuan perumahan sesuai dan objektif.  Penelitian ini memberikan hasil yang cukup akurat dimana proses penyaluran yang tepat sasaran dengan data yang diperoleh dari pihak kelurahan. Sistem yang dibuat cukup memnatu pihak kelurahan dengan nilai sekitar 73.6% yang diuji oleh 10 orang responden.   Kata Kunci: Rumah Tidak Layak Huni, Multiple Attribute Decission Making, Simple Addictive Weighting, Sistem Pendukung Keputusan.     Abstract The help of the home is not habitable is one of the government programs to suppress the poverty rate in Indonesia, but the problem exists that the process that was done by the village is still in subjectively Consider the survey results. Therefore, the town needs a decision support system so that the selection can be made by systemic efficiency. There is a method of Multiple Attribute Decision Making, answering all the problems. Of the multiple Attribute Decision-Making methods, Simple Addictive Weighting is chosen to be applied to the decision support system. The decision support system was made using a waterfall method. The purpose of this research is so that the village can distribute its help to the right to receive it, so it is expected by the Web-based decision support system to select the recipient of appropriate and objective housing assistance. This research provides entirely accurate results were the right distribution process targets with data obtained from the village. The system was made enough to inform the town with a value of about 73.6% tested by ten respondents.   Keywords: Unqualified Houses, Multiple Attribute Decision Making, MADM, Simple Additive Weighting, Decision Support Systems.


2021 ◽  
Vol 3 (1) ◽  
pp. 17-24
Author(s):  
Rudi Hartoyo

In selecting and determining contract employees such as Sales Promotion Girl (SPG) to become permanent employees in a company, it still seems inaccurate, because the assessment and calculation of the results of the test are done manually, so there is a possibility of errors in providing the final results of the selection. Therefore, a Decision Support System was designed that could determine SPG contract employees to become permanent employees who could assist the company in selecting the right employees. Decision Support Systems are part of a computer-based information system that is commonly used to support decision making in an organization or company. This decision support system is designed using the Simple Additive Weighting (SAW) method to calculate the results in determining SPG contract employees to become permanent employees. So, in the process of selecting SPG contract employees to become permanent employees using a decision support system using the SAW method can be done easily and precisely, because it is calculated by a computer system.


2019 ◽  
Vol 3 (4) ◽  
pp. 376
Author(s):  
Andri Yunaldi

Decision support system (DSS) is a system that helps decision makers in this case the principal, so that the decisions produced are considered effective and appropriate to solve the problems faced. Specifically in determining the provision of assistance to poor students, the determination of the criteria is aimed at making the recipient of the assistance in accordance with the purpose of the assistance itself. In this study, the authors applied a combination of SAW and ROC methods in selecting beneficiaries. ROC (Rank Order Centroid) is a method that can produce weight values, while Simple Additive Weighting (SAW) is a method used to rank poor prospective student assistance recipients as an alternative. The results of the study are expected to contribute to the development of science, especially the principal in the selection decision for recipients of poor student assistance


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