scholarly journals Rancang Bangun Aplikasi Sistem Pendukung Keputusan Penerima Beasiswa dengan Metode SAW

2015 ◽  
Vol 1 (1) ◽  
pp. 67
Author(s):  
Wiwit Supriyanti
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Private Sector ◽  
Support System ◽  
Student Organizations ◽  
Parental Income ◽  
Scholarship Recipients ◽  
Fuzzy Madm ◽  
Simple Additive Weighting ◽  
The Right

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.

scholarly journals Decision Support System for "Buleleng Cerdas" Program Social Fund Recipient Candidates with Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Method

2018 ◽  
Vol 5 (2) ◽  
pp. 213-223
Author(s):  
Aini Aidilah Fitri ◽  
I Made Ardwi Pradnyana ◽  
I Gede Mahendra Darmawiguna
Keyword(s):  
Public Schools ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scholarship Recipients ◽  
Social Fund ◽  
Private And Public ◽  
Student Assistance ◽  
Simple Additive Weighting ◽  
Hierarchy Process

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.

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

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
Keyword(s):  
High School ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Teaching And Learning ◽  
Selection Process ◽  
Report Cards ◽  
Student Assistance ◽  
Simple Additive Weighting ◽  
The Right

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.

scholarly journals Sistem Pendukung Keputusan Dengan Simple Additive Weighting Dalam Pemilihan Calon Penerima Bantuan Rumah Tidak Layak Huni

2019 ◽  
Vol 10 (2) ◽  
pp. 110-119
Author(s):  
Sudin Saepudin ◽  
Dudih Gustian ◽  
Heri Firmansyah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
The Right ◽  
The Village ◽  
The Town

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.

scholarly journals Sistem Pendukung Keputusan Menentukan Status Karyawan Kontrak Sales Promotion Girl Menjadi Karyawan Tetap dengan Metode Simple Additive Weighting

2021 ◽  
Vol 3 (1) ◽  
pp. 17-24
Author(s):  
Rudi Hartoyo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Sales Promotion ◽  
Contract Employees ◽  
Computer Based ◽  
Permanent Employees ◽  
Simple Additive Weighting ◽  
The Right ◽  
A Company

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.

scholarly journals The Best Land Selection using Simple Additive Weighting

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1520-1525
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Agricultural Development ◽  
Unified Modeling Language ◽  
Agricultural Area ◽  
Object Oriented Design ◽  
Simple Additive Weighting ◽  
The Right ◽  
Agricultural Areas

Pringsewu Regency is an agrarian regency with the main livelihood of the population is from agro-industry agriculture. For on farm farming activities, a lot of cultivated commodities are food crops and rice crops. One of the key factors in creating equitable distribution of development or regional development and the right one result is the agricultural factor. While to know the feasibility of an agricultural area can be done by holding an assessment. The Assessment is made by Agriculture office in deciding the feasibility of agricultural areas include the assessment criteria of a region. The criteria of a region that is the type of soil, rainfall, water, temperature, and soil texture. Utilization of decision support system is very helpful in deciding the feasibility of agricultural area, and accompanied by the method of Simple Additive Weighting (SAW), this method can complete the research by finding the weight value for each attribute, then perform the ranking process that will determine the optimal alternative that is feasible for agriculture. With the decision support system with Simple Additive Weighting (SAW) method and with object oriented design using Unified Modeling Language (UML) this will make it easier for Agriculture Office and other institutions to monitor and to obtain information about agriculture that is useful for agricultural development.

scholarly journals Implementation of Simple Additive Weighting Method in Evaluating Employee Performance for Job Promotion Recommendations

Webology ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 123-132
Author(s):  
Jeperson Hutahaean ◽  
Seri Suriani ◽  
Supriy anto ◽  
Harma yani ◽  
Muhammad Amin ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Research Assessment ◽  
Weighting Method ◽  
Education Experience ◽  
Simple Additive Weighting ◽  
The Right

The implementation of decision support system tools in providing decision support for management is absolutely necessary. In its application, this aims to make the decision effective so that the decisions produced can be objective. This research discusses employee performance appraisal by implementing a decision support system. Many methods of decision support systems that can be used to rank, but in this study, the authors use the ranking method known as Simple Additive Weighting (SAW). The SAW method works by summing the weighted attributes that are interrelated. This method is quite simple and is able to provide the right decisions for employees who have the best performance to be recommended in job promotions. In this research, assessment attributes are used, namely education, experience, expertise, collaboration, work quality, and discipline. The final results show that employees on behalf of Ferdinal have the highest value with a value of 0.850.

scholarly journals Higher Education Selection using Simple Additive Weighting

2018 ◽  
Vol 7 (2.27) ◽  
pp. 211 ◽  
Author(s):  
Nur Aminudin ◽  
Miftachul Huda ◽  
Ahmad Kilani ◽  
Wan Hassan Wan Embong ◽  
Ahmad Marzuki Mohamed ◽  
...  
Keyword(s):  
Higher Education ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Job Demands ◽  
The Public ◽  
Simple Additive Weighting ◽  
The Many ◽  
The Right ◽  
Selection Of

The process of selecting a college should be based on the capabilities and needs of the community. When society is faced with a large selection of college criteria and most societies are confused about choosing the appropriate college for themselves and the job demands. From this it was made a decision support system aimed at helping the community to choose a college that suits the ability and demands of the work. Decision support system plays a role in helping people get the right recommendations in the selection of universities. This decision support system is also designed to help the community to choose a college that suits their needs so that the public is not confused because of the many criteria of universities faced by the community because the admin already has recommendations according to the needs of the community by using Simple Additive Weighting (SAW) method.

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