scholarly journals Penerapan Metode Rank Order Centroid dan Additive Ratio Assessment Pada Aplikasi Rekomendasi Supplier

2021 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Ronny Addenan ◽  
◽  
Wilda Susanti ◽  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rank Order ◽  
Spare Parts ◽  
Computerized Decision Support ◽  
K Value ◽  
Long Time ◽  
The Right

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.

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 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 Sistem Pendukung Keputusan Pemilihan Smartphone Kelas Bawah Terbaik pada Toko Bram Cell dengan Metode Simple Additive Weighting (SAW)

KOMTEKINFO ◽  
2021 ◽  
pp. 195-201
Author(s):  
Silfia Andini ◽  
Rani Anggraini ◽  
Sofika Enggari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Special System ◽  
Processing Data ◽  
Long Time ◽  
Simple Additive Weighting ◽  
The Impact ◽  
Efficient Selection

Bram Cell store is a store that sells various types of low-end smartphones at affordable prices. However, the problem faced by the Bram Cell Store is processing data in selecting the best low-end smartphone, because there is no special system for selecting the best low-end smartphone, so it takes a long time to determine. To overcome this problem, this research was conducted with the aim of building a Decision Support System (DSS) by applying the Simple Additive Weighting (SAW) method which is useful for simplifying the smartphone selection process. The design of a decision support system using the SAW method produces applications that perform effective and efficient selection. The impact of this research is helping Bram Cell in selecting the best low-end smartphone and minimizing selection errors used in the previous systemKeywords: Decision Support System, Weight Product, Fabric

scholarly journals Penerapan Metode Promethee Sebagai Sistem Pendukung Keputusan Pemeringkatan Siswa

2019 ◽  
Vol 3 (4) ◽  
pp. 381
Author(s):  
Ronal Watrianthos ◽  
Kusmanto Kusmanto ◽  
Elida F. S. Simanjorang ◽  
Muhammad Syaifullah ◽  
Ibnu Rasyid Munthe
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preference Ranking ◽  
Sample Data ◽  
Long Time ◽  
Main Input ◽  
The Right ◽  
Selection Of

Students rank requires several considerations and criteria. Determination of the criteria must be prepared as much as possible because it is related to the selection of outstanding students. However, this ranking is considered less than optimal and requires a long time because it is processed manually by the school. The right Decision Support System is needed to produce quick and accurate ranking decisions. This study uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) as a Decision Support System. This method will use multi-criteria as the main input in decision making. PROMETHEE will be used to analyze criteria based on alternatives compared to rank according to students' grades and abilities. Based on the research sample data, the highest value was 0.739 for alternative A16. This shows that alternative A16 is the best alternative compared to other alternatives based on consideration of all criteria. The development of PROMETHEE with application-based Decision Support Systems is much better because it produces fast and accurate calculations.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JURUSAN DENGAN METODE MULTI FACTORY EVALUATION PROCESS (MFEP) (STUDI KASUS : SMK CIBENING)

2019 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Abdul Aziz Muhidin ◽  
Endra Suseno ◽  
Sugeng Supriyadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Report Cards ◽  
National Examination ◽  
Current Process ◽  
Long Time ◽  
The Right

Smk Cibening is one of the schools in Cibingbin village, Cibingbin District, Kuningan Regency. The process of this course is intended so that the students can complete the school according to their abilities before continuing to a higher level, namely college. The current process of majors has disadvantages including the unavailability of special application to support courtesy, in helping counseling teachers to determine the right direction, so that the process takes a long time and also can occur a lot of consideration. to help the teachers in determining the majors of students at SMK Cibening. This study uses the Multifactor Evaluation Process (MFEP) method. The criterias used are report cards, national examination results (SKHUN) and majors. The final results of this study found that the decision support system with the Multifactor Evaluation Process (MFEP) method is able to overcome the problems in the process of determining the majors at SMK Cibening.Keywords: decision support system, WATERFALLl, with Multifactor Evaluation Process (MFEP) Method

scholarly journals Development of decision support system for employee selection using Adaptive Neuro Fuzzy Inference System

2018 ◽  
Vol 154 ◽  
pp. 01077 ◽  
Author(s):  
Abdullah ‘Azzam ◽  
Sri Indrawati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Day Care ◽  
Service Industry ◽  
Fuzzy Inference ◽  
Selection Process ◽  
Employee Selection ◽  
Inference System ◽  
The Right

The number of children day care is increasing from year to year. Children day care is categorized as service industry that help parents in caring and educate children. This type of service industry plays a substitute for the family at certain hours, usually during work hours. The common problems in this industry is related to the employee performance. Most of employees have a less understanding about the whole job. Some employees only perform a routine task, i.e. feeding, cleaning and putting the child to sleep. The role in educating children is not performed as well as possible. Therefore, the employee selection is an important process to solve a children day care problem. An effective decision support system is required to optimize the employee selection process. Adaptive neuro fuzzy inference system (ANFIS) is used to develop the decision support system for employee selection process. The data used to build the system is the historical data of employee selection process in children day care. The data shows the characteristic of job applicant that qualified and not qualified. From that data, the system can perform a learning process and give the right decision. The system is able to provide the right decision with an error of 0,00016249. It means that the decision support system that developed using ANFIS can give the right recommendation for employee selection process.

scholarly journals An Alternative in Determining the Best Wood for Guitar Materials Using MOORA Method

2020 ◽  
Vol 9 (1) ◽  
pp. 37
Author(s):  
Tundo Tundo ◽  
Wisnu Dwi Nugroho
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Method ◽  
Long Time ◽  
Wood Grain ◽  
Materials Used ◽  
The Right ◽  
Wood Strength ◽  
Moora Method

This study aims to assist wood craftsmen in Dongkelan, Krapyak, Yogyakarta in determining the best wood to be used as guitar material, because there are frequent complaints from buyers that the materials used as guitar materials are rotten quickly and are dull in terms of color. Based on these problems, a solution is sought using the Multi Objective Optimization on the basis of Ratio Analysis (MOORA) decision support system method, and is assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long time discussing the correct criteria were found based on the problem, in the form of criteria for wood strength, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA decision support system method. After processing, the best results are obtained. The right wood for guitar making is ebony with 23.6831 results occupying the first rank. Proving the results of the MOORA decision support system method, a questionnaire was carried out directly to several guitar makers with a total of 14 people, resulting in an accuracy of 85.71% which means that it has significant verification, that ebony wood is best used as a guitar-making material

Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Kependidikan (TENDIK) Dengan Menggunakan Metode SMARTER

2021 ◽  
Vol 5 (2) ◽  
pp. 140-152
Author(s):  
Dito Putro Utomo ◽  
Bister Purba
Keyword(s):  
Higher Education ◽  
Decision Support ◽  
Decision Support System ◽  
Performance Assessment ◽  
Support System ◽  
Selection Process ◽  
Rank Order ◽  
Objective Assessment ◽  
Education Performance

The success of a university is not only seen from the role of Educators (Lecturers) but also the role of Education Personnel (TENDIK). Educational Personnel (TENDIK) includes Administrative Personnel in universities. Work performance is the main factor of the success of higher education performance. The results of good work given will have a good impact on universities. TENDIK who excels are also competent in higher education and contributes to the joint progress of both TENDIK and universities. Apart from lecturers, TENDIK is also an asset owned by universities. Rewards or awards given to TENDIK can be done by assessing the performance results of each TENDIK. The reward given to TENDIK is a form of appreciation for the performance carried out at the university. Giving rewards to TENDIK must be based on a proper and accurate performance assessment. The problem is that there is no definite reference used to evaluate the performance of TENDIK in giving rewards. The performance assessment carried out must be objective, of course, with an objective assessment the results obtained from the TENDIK performance assessment will not be a problem for other TENDIK. Decision Support System is a computer-based information system that is used to assist in decision making by utilizing certain data and models to support a solution in solving a semi-structured and non-structured problem. SMARTER is one of the methods in the Decision Support System that provides recommendations to decision makers based on relevant criteria, which in determining the criteria and sub-criteria and their weight values ​​use ROC (Rank Order Centroid). Of the several criteria used for the selection process using the alternative SMARTER method with the name A4 with a final utility value of 64.25%

scholarly journals SISTEM PENDUKUNG KEPUTUSAN SELEKSI ATLET TARUNG DERAJAT DENGAN METODE PROMETHEE

2018 ◽  
Vol 4 (2) ◽  
pp. 122
Author(s):  
I Putu Arya Putrawan ◽  
Made Sudarma ◽  
I Made Arsa Suyadnya
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Selection Process ◽  
Web Based ◽  
Martial Art ◽  
Long Time ◽  
Promethee Method ◽  
Selection Of

Tarung Derajat is a martial art that has existed for a long time in Indonesia. Someone who wants to be an Tarung Derajat athlete must participate in the athlete selection. So far there is no system that facilitates the selection of Tarung Derajat athletes so that the selection process is more time-consuming, prone to error and nepotism. To prevent this, in this study built a decision support system using PROMETHEE method to assist the Tarung Derajat athletes selection process. This decision support system is built with web-based programming using PHP programming language and MySQL database. With success rate up to 90,66% in usability test, can be concluded that Decision Support System of Tarung Derajat Athletes Selection can support the athletes selection process.

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