scholarly journals Support System for Determination of Low-Income Students Scholarship (BSM) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

2020 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Abdul Azis ◽  
Bagus Adhi Kusuma ◽  
Alfika Maselia
Keyword(s):  
Middle School ◽  
Data Storage ◽  
Support System ◽  
Low Income ◽  
Selection Process ◽  
System Development ◽  
Ideal Solution ◽  
Low Income Students ◽  
First Semester ◽  
Order Preference

Muhammadiyah 3 Middle School in Purwokerto is the school that organizes the Low-Income Students Scholarship (BSM) program every first semester held in each new school year. During this time, processing student data and other equipment have been processed with manual calculations, as well as data storage using only Microsoft Excel. In selecting ranking, it still uses paper. The paper calculation on the selection of BSM recipients in the previous year is often lost and hard to find already needed, also there is no particular system for processing the data so that the subjective method is still needed by relying trusts on personal. The purpose of this study is the creation of a Decision Support System (DSS) application for Determining Low-Income Students Scholarship (BSM) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at Muhammadiyah 3 Middle School in Purwokerto so that the selection process of Low-Income Students Scholarship (BSM) can be used. So that it is right on target to students who are entitled to BSM and can store data safely. The system development method used is a waterfall.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN MAHASISWA BARU JALUR BEASISWA DENGAN METODE TOPSIS (TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION)

2018 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
M Panji Ismail
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
System Development ◽  
Ideal Solution ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Written Test ◽  
Topsis Technique ◽  
The Right ◽  
The Ideal

The scholarship path is one of the paths used by the University of Technology Yogyakarta (UTY) in accepting new students. The track consists of seven criteria: school accreditation, family condition, report card score, achievement, written test, interview test. In order to process the criteria, it is necessary to have a Decision Support System (DSS) capable of conducting the scholarship selection process quickly, accurately and objectively. DSS is a system that can perform a decision-making process based on the human mindset. SPK can tolerate any kind of data whether it is certain or uncertain. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a Multi-Criteria Decision Making (MCDM) category which is a decision-making technique of some alternative options, especially Multi Attribute Decision Making (MADC). TOPSIS aims to determine the ideal ideal solution and the ideal negative solution of the scholarship criteria. A positive ideal solution maximizes benefit criteria and minimizes cost criteria, whereas a negative ideal solution maximizes cost criteria and minimizes benefit criteria. The research methodology used is SDLC (System Development Life Cycle) and system implementation built using Delphi 7 programming language and data processing using DBMS SQL Server 2012.. The results of the system show that the system provides accurate and valid results in accordance with the data owned by prospective students so that full scholarship can be given in the right target.

scholarly journals Sistem Pendukung Keputusan Penerimaan Santri Baru Di Pondok Modern Al-Islam Kapas Sukomoro Nganjuk Jawa Timur Menggunakan Metode Topsis

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Moh Nur Kholis ◽  
Sucipto ◽  
Rina Firliana
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Ideal Solution ◽  
Order Preference ◽  
New Students ◽  
Selection Of

ABSTRACT Prospective new students are groups of children who want to learn or want to know the science of religion and science, The decision support system of new students is part of computer-based information systems used to support decision making in an organization or company The problem of this study is that every new school year, pesantren receives acceptance and selection of new santri candidates, to know the process of selection of students at Pondok Mondern Al-Islam, this selection process often causes problems such as limited selection committee, duration of assessment, and sometimes subjective assessment causing mistakes analyzing prospective santri accepted or rejected. Therefore, research decision support system (SPK) is done. This research will point to a case that seeks the best alternative based on predetermined criteria using the method of Booking Preference Technique with Similarity with Ideal Solution (TOPSIS). The research is done by finding the weight value for each attribute, then done the ranking process that will determine the optimal alternative, that is the best santri. The purpose of this study is to facilitate users of information systems decision-making, the method used in this system is by Method method Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). to provide appropriate references with appropriate criteria, with delphi programming language and software, support used is Delphi Data collection methods using observation. The conclusion reached by the existence of this created system is expected to help and facilitate in giving reference.Keywords: The decision support system, TOPSIS, the new santri for the boarding school.ABSTRAKCalon santri baru adalah sekumpulan anak - anak yang ingin mempelajari atau ingin mengetahui ilmu agama maupun ilmu pengetahuan, Sistem pendukung keputusan penerimaan santri baru adalah bagian dari sistem informasi berbasis komputer yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Masalah pada penelitian ini adalah setiap tahun ajaran baru, Pesantren mengadakan penerimaan dan penyeleksian calon santri baru, untuk menentukan proses penyeleksian santri di Pondok Mondern Al-Islam, proses penyeleksian ini sering timbul permasalahan seperti terbatasnya panitia seleksi, lamanya penilaian, serta penilaian yang terkadang subyektif yang menyebabkan kesalahan menganalisis calon santri yang diterima atau ditolak., Oleh sebab itu dilakukan penelitian sistem penunjang keputusan (SPK). Penelitian ini akan diangkat suatu kasus yaitu mencari alternative terbaik bedasarkan kriteria-kriteria yang telah ditentukan dengan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu santri terbaik. Tujuan dari penelitian ini adalah untuk memudahkan pengguna terhadap sistem informasi pengambilan keputusan, metode yang digunakan dalam sistem ini yaitu dengan Metode metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). untuk memberi referensi yang tepat dengan kriteria yang sesuai, dengan bahasa pemrograman delphi dan perangkat lunak, pendukung yang digunakan adalah Delphi Metode pengumpulan data menggunakan observasi. Kesimpulan yang dicapai dengan adanya sistem yang diciptakan ini diharapkan dapat membantu dan mempermudah dalam memberi referensi.

TERAPAN KOMBINASI METODE TOPSIS DAN ANALYTICAL HIERARCHY PROCESS PADA PEREKOMENDASIAN PENERIMA BEASISWA PENINGKATAN PRESTASI AKADEMIK (Studi Kasus pada STMIK PPKIA Tarakanita Rahmawati)

2017 ◽  
Vol 8 (2) ◽  
pp. 663 ◽  
Author(s):  
Muhammad Fadlan ◽  
Muhammad Muhammad ◽  
Hadriansa
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Microsoft Excel ◽  
Order Preference ◽  
Hierarchy Process

Beasiswa Peningkatan Prestasi Akademik (PPA) sebagai salah satu bentuk dukungan pemerintah Republik Indonesia terhadap dunia pendidikan. Beasiswa yang disalurkan oleh pemerintah melalui Perguruan Tinggi yang ada di Indonesia ini, penyeleksian dan penetapan penerimanya sepenuhnya diserahkan kepada pihak Perguruan Tinggi yang bersangkutan. Tahap inilah yang sangat rentan terjadinya kecurangan. Pada objek penelitian  yang diteliti hingga saat ini proses penyeleksian masih dilakukan dengan menggunakan Microsoft Excel, hal ini tentu saja kurang efektif dan efisien, serta rentan akan terjadinya kesalahan bahkan kecurangan. Untuk itu, diperlukan suatu metodologi dan aplikasi yang tepat dalam melakukan penyeleksian penerima beasiswa tersebut. Decision Support System digunakan sebagai solusi untuk melakukan perekomendasian penerima beasiswa, khususnya dengan menggunakan Metode Technique  for  Order  Preference  by  Similarity  to  Ideal  Solution  (TOPSIS)  dan  Analytical  Hierarcy Process (AHP). Penggunaan kombinasi dua metode tersebut dilakukan agar memiliki tingkat akurasi yang baik jika dibandingkan  dengan menggunakan satu metode. Hasilnya,  aplikasi  decision support system dengan penerapan kombinasi metode Topsis dan AHP berhasil di rancang dan di ujicoba, serta sukses dalam perekomendasian penerima beasiswa PPA dengan menghasilkan data alternatif mahasiswa yang terurut mulai dari nilai preferensi yang paling tinggi 0.764 hingga terendah 0.189. Hasil ini dapat menjadi rekomendasi bagi pengambil keputusan dalam mengambil keputusan yang efektik, efisien dan dapat dipertanggung jawabkan.

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals Sistem Penunjang Keputusan Pemilihan Guru Terbaik dengan Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Studi Kasus: SDN Bendungan Hilir 01 Pagi Jakarta Pusat

2017 ◽  
Vol 2 (2) ◽  
pp. 89
Author(s):  
Hendri Ardiansyah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique

Tugas utama guru adalah mendidik; mengajar; membimbing; mengarahkan; melatih; menilai; dan mengevaluasi peserta didiknya. Guru berprestasi adalah guru yang memiliki kemampuan melaksanakan tugas; keberhasilan dalam melaksanakan tugas; memiliki kepribadian yang sesuai dengan profesi guru dan memiliki wawasan kependidikan. Sistem pendukung keputusan atau Decision Support System (DSS) merupakan suatu sistem yang dapat membantu dalam pengambilan keputusan pada sebuah organisasi atau perusahaan dengan menerapkan metode yang sesuai dengan bidang keputusan yang diambil; Pengambilan keputusan secara manual tanpa bantuan SPK akan menghasilkan penilaian yang tidak objektif dan tidak tepat. Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) merupakan salah satu metode pengambilan keputusan multi kriteria dengan menerapkan bobot nilai pada setiap kriterianya. Pemilihan metode TOPSIS ini dibandingkan dengan metode SPK yang lain yaitu metode ini menggunakan prinsip bahwa alternatif yang terpilih harus mempunyai jarak terdekat dari solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Sistem yang dibuat memungkinkan pihak sekolah untuk menentukan aspek penilaian berdasarkan kriteria sesuai dengan kebutuhan dari sekolah tersebut sehingga lebih fleksibel. Sistem pendukung keputusan dengan metode TOPSIS ini diharapkan dapat membantu dalam pemilihan guru terbaik.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBUKAAN CABANG USAHA ONLINE BICYCLE INDONESIA DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

2021 ◽  
Vol 11 (2) ◽  
pp. 469-479
Author(s):  
Rizki Adha ◽  
Tjahjanto Tjahjanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Food Delivery ◽  
Ideal Solution ◽  
Fixed Costs ◽  
Topsis Method ◽  
Order Preference ◽  
Hierarchy Process

The choice of business location will affect the risks and benefits of the company as a whole. This condition occurs because the location greatly affects the fixed costs and variable costs, both in the medium term and long term. The location of the business should be taken into account at the time of planning, so that the business to be run can be organized implementation in the future. Online Bicycle Indonesia is a startup engaged in goods and food delivery services by using online-based bike, will open branches in several cities and districts in Tangerang Raya area so that the result of choosing the right branch location, required a dynamic decision support system that can later be used as consideration of managers in the process of selecting branch locations. Problems in selecting branch of this company can be used Decision Support System using AHP-TOPSIS method. Analytical Hierarchy Process (AHP) method has advantages based on pair comparison matrix and perform consistency analysis, while Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method can solve practical decision making, because the concept is simple and easy to understand, and have the ability to measure the relative performance of decision alternatives. The results of the study show Kota Tangerang Selatan is superior to the weight of 0.824, the two Kota Tangerang with a weight of 0.732 and three Kabupaten Tangerang with a weight of 0.0, The decision taken can be accounted for by the calculation of AHP-TOPSIS as a model in the decision support system

scholarly journals A Development of Decision Support Systems Selection of Employee Acceptance Using Weighted Product Method

2019 ◽  
Vol 1 (2) ◽  
pp. 87-97
Author(s):  
Arief Herdiansah ◽  
Nurdiana Handayani ◽  
Alfan Kurniawan
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Support System ◽  
Design Research ◽  
Selection Process ◽  
System Development ◽  
Methods Development ◽  
Product Method ◽  
The Right

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.

scholarly journals PENENTUAN BIDANG MINAT MAHASISWA MENGGUNAKAN METODE TOPSIS BERBASIS SISTEM PENDUKUNG KEPUTUSAN DINAMIS

2020 ◽  
Vol 5 (1) ◽  
pp. 35-43
Author(s):  
Lexi Handi Nayana ◽  
Arya Abimanyu ◽  
Muhammad Nasyithul Ibad ◽  
Muhammad Ammarullah Ridho
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
System Development ◽  
Topsis Method ◽  
Decision Making System ◽  
Database Program ◽  
Development Methods ◽  
Collection Methods

The selection process of the field of the interest of students majoring in Informatics Engineering at UIN Maulana Malik Ibrahim Malang at this time is still manually that is choosing to accord to the wishes of the students themselves, so that it is sometimes not in accordance with the values obtained. Therefore, a new method is needed, namely the Decision Making System for the selection process of interest. The method for overcoming this problem uses the TOPSIS method, where the TOPSIS method has a concept if the chosen alternative is the best alternative by considering various criteria. The research methods used include data collection methods and system development methods. The design of this application was made using UML, for the program using the PHP programming language, and for the database using the MySQL database program. Interest Decision Support System in the Department of Informatics has been successfully created with the TOPSIS method that has been implemented in the make decision support systems. In this decision support system, the accuracy value using the TOPSIS method is 67%, the recall value is 86%, the precision value is 86% and the f-measure is 86%.

Supplier Selection using MADM Method Under Uncertainty

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Interval Data ◽  
Entropy Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Powerful Technique ◽  
Order Preference

In existing literature, there are several studies on supplier selection process, which opine that the suppliers information is usually incomplete and uncertain. Several methods have been proposed for solving this problem, one of which is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with interval data. There is no doubt that the TOPSIS with interval data method is a powerful technique in uncertain decision-making context. Despite its usefulness, it is logical that when data are imprecise, weight is imprecise too. To overcome this limit, the extended Shannons Entropy method with interval data is used. The main findings of this study confirm the effectiveness of the hybrid proposed models.

scholarly journals Adding value to satisficing decisions using TOPSIS in service provider selection problems

2016 ◽  
Vol 7 (1) ◽  
pp. 34-39
Author(s):  
Solly Matshonisa Seeletse
Keyword(s):  
Service Provider ◽  
Selection Process ◽  
Decision Makers ◽  
Added Value ◽  
Ideal Solution ◽  
Scientific Methods ◽  
Selection Problems ◽  
Selection Processes ◽  
Order Preference ◽  
Reduced Costs

Selection processes of credible candidates in competitions are often flawed. The flaws may be deliberate when there is corruption. In other cases the flaws occur because of the decision makers’ inadequacies. Many competitors do their best in developing exceptional proposals, but unfairness of the decision makers undermines these efforts. Ideally, undeserving candidates should be disqualified, and deserving ones be allowed to contest. Systematic methods should be used in the proposal evaluation, and the process should be verifiable. This paper discusses scientific methods proposed for use to select a criterion-based worthy competitor in service provider selection problems. The method is a technique for order preference by similarity to ideal solution (TOPSIS). TOPSIS is a mathematically-derived statistical method useful to offset the biases in the selection process. Features that address both added value and reduced costs are incorporated in the TOPSIS selection process. A numerical example is included to demonstrate TOPSIS fortes

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