scholarly journals Sistem Pendukung Keputusan Penentuan Pemberian Insentif Pegawai THL Menggunakan Metode Promethee Pada Kantor Walikota Pematangsiantar

2021 ◽  
Vol 2 (3) ◽  
pp. 243
Author(s):  
Jaka Sepridho ◽  
Irfan Sudahri Damanik ◽  
Harly Okprana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Assessment Criteria ◽  
System Research ◽  
A Value ◽  
Promethee Method ◽  
History Of ◽  
Multi Criteria Analysis ◽  
Achievement Behavior

Pematangsiantar Mayor Office is an institution that is used and functions to serve and protect the community. This paper proposes a decision support system research using the Promethee method. Promethee is one of several methods of determining the order or priority in multi-criteria analysis. This writing uses the Promethee method as a step in determining the provision of incentives for freelance daily staff at the Pematangsiantar Mayor's Office. In this study the authors took 10 alternatives with 5 assessment criteria including absenteeism, achievement, behavior, long history of work and teamwork. With the highest result obtained by alternative 9 on behalf of Triono with a value of 0.422 and the lowest result obtained by alternative 6 on behalf of Soraya with a value of -0.211.

scholarly journals Sistem Pemilihan Mesin Cuci Berdasarkan Kebutuhan Konsumen Menggunakan Fuzzy Tahani dan Promethee

2018 ◽  
Vol 5 (1) ◽  
pp. 12-21
Author(s):  
Nur Huzumah ◽  
Toni Arifin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Awareness ◽  
Washing Machine ◽  
A Value ◽  
Washing Machines ◽  
The People ◽  
Promethee Method

Abstrak Berdasarkan hasil survei terhadap kebutuhan mesin cuci pada tahun 2013 pertumbuhan mesin cuci nasional naik sebesar 28%, Menurut data Euro Monitor tahun 2017, penetrasi mesin cuci di Indonesia selama lima tahun terakhir terus meningkat. Sekitar 74% masyarakat di Kota besar seperti Jakarta telah mengandalkan mesin cuci untuk membantu membersihkan pakaian. Namun pada pembelian mesin cuci, sebagian besar masyarakat masih tertarik dengan harga yang murah tanpa mengetahui spesifikasi detail mengenai mesin cuci yang akan dibeli apakah sesuai kebutuhan atau tidak. Karena kurangnya kesadaran masyarakat, maka dibuat sebuah sistem pendukung keputusan menggunakan metode fuzzy tahani dan promethee untuk meningkatkan kualitas rekomendasi mesin cuci sesuai kebutuhan konsumen. Metode fuzzy tahani digunakan untuk melakukan pengurutan data mesin cuci berdasarkan kriteria yang menghasilkan nilai 0 sampai dengan 1. Setelah itu, metode promethee digunakan untuk mendapatkan bobot mesin cuci dan akan dilakukan pengurutan mesin cuci sesuai bobot yang didapat. Hasil penelitian ini menunjukkan bahwa adanya sistem pendukung keputusan yang dibangun, masyarakat yang ingin membeli mesin cuci dapat memilih dengan tepat, jelas dan objektif. Hasil akurasi yang dihasilkan adalah 90%. Kata Kunci: sistem pendukung keputusan, pemilihan mesin cuci, fuzzy tahani, promethee Abstract Based on results of survey about the needs of washing machines in 2013, the growth of national washing machines increased by 28%. According to Euro Monitor Data of 2017, penetration of washing machines in Indonesia over the last five years continues to increase. About 74 % of the people in big cities like Jakarta have relied on a washing machine to help clean clothes. However on the purchase of a washing machine, most of the people still interested in a cheap price without knowing detail specification of the washing machine which will be purchased whether as needed or not. Due the lack of public awareness, then made a decision support system using fuzzy tahani and promethee method to improve the quality of the washing machine recommendations according to needs of the consumers. Fuzzy tahani method is used to perform the washing machine data sorting based on the cirteria that yields a value of 0 to 1. After that, Promethee method is used to get weight of the washing machine and will do sorting machine according to the weight obtained. The results of this study indicate that a decision support system who has been built, people who want to buy a washing machine can choose the washing machine properly, cleary and objectively. The result of accuracy is 90%. Keywords: decision support system, washing machine selection, fuzzy tahani, promethee

scholarly journals Sistem Pendukung Keputusan Pemilihan Sales Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS) Berbasis Web

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Nindian Puspa Dewi ◽  
Ubaidi ◽  
Elsi Maharani
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Assessment Criteria ◽  
Sales Data ◽  
A Value ◽  
Calculation Process ◽  
Selection Decision ◽  
Selection Of

Setiap tahun, CV. Anugerah Wangi melakukan pemilihan sales terbaik untuk memotivasi para sales dalam memberikan pelayanan dan peningkatan penjualan sepeda motor. Proses pemilihan sales terbaik masih dilakukan secara manual dengan mengumpulkan data seluruh sales dalam 1 tahun. Pekerjaan ini tentu tidak efektif dan efisien. Selain itu, perhitungan yang dilakukan juga menjadi sulit karena mencakup banyak kriteria penilaian. Karena itulah perlu dibuat suatu sistem pendukung keputusan dalam pemilihan sales terbaik pada CV. Anugerah Wangi yang dapat memudahkan pimpinan untuk melakukan proses perhitungan. Sistem Pendukung Keputusan Pemilihan Sales Terbaik dibuat dengan menggunakan metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS). Penggabungan metode ROC dan ARAS dapat mengoptimalkan terhadap pembobotan dalam setiap kriteria yang digunakan. Adapun kriteria yang digunakan dalam pemilihan sales terbaik yaitu, jumlah penjualan (C1), penilaian pelayanan (C2), jumlah penjualan (C3), masa bekerja (C4) dan kedisiplinan (C5). Dari penelitian ini, dilakukan uji coba terhadap 23 data sales yang kemudian dilakukan perhitungan sehingga mendapatkan hasil rangking teratas yang menjadi sales terbaik yaitu Faizur Rohman dengan nilai 0,916. Abstract           Every year, CV. Anugerah Wangi selects the best sales to motivate sales in providing services and increasing motorcycle sales. The process of selecting the best sales is still done manually by collecting data on all sales in 1 year. This work is certainly not effective and efficient. In addition, the calculations made also become difficult because it includes many assessment criteria. That why it is necessary to make a decision support system in selecting the best sales for CV. Anugerah Wangi. So, it can make it easier for leaders to carry out the calculation process. The Best Sales Selection Decision Support System was made using the Rank Order Centroid (ROC) and Additive Ratio Assessment (ARAS) methods. The combination of ROC and ARAS methods can optimize the weighting in each of the criteria used. The criteria used in the selection of the best sales are the number of sales (C1), service assessment (C2), number of sales (C3), years of service (C4), and discipline (C5). From this study, a trial was carried out on 23 sales data which was then calculated so that the top-ranking results were the best sales, namely Faizur Rohman with a value of 0.916.

scholarly journals Sistem Bantu untuk Pengrajin dalam Menentukan Kayu Terbaik Terbaik untuk Bahan Gitar dengan Menggunakan Matode Moora

2021 ◽  
Vol 8 (6) ◽  
pp. 1177
Author(s):  
Tundo Tundo ◽  
Wisnu Dwi Nugroho
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
A Value ◽  
Wood Grain ◽  
The Right ◽  
Moora Method

<p>Penelitian ini bertujuan untuk membantu pengrajin kayu di Dongkelan, Krapyak, Yogyakarta dalam menentukan kayu terbaik untuk dijadikan sebagai bahan gitar, karena sering terjadi keluhan dari para pembeli bahwa bahan yang dijadikan bahan gitar cepat lapuk dan kusam dari segi warnah. Berdasarkan permasalahan tersebut, dicari suatu solusi dengan menggunakan metode <em>Decision Support System</em> <em>Multi Objective Optimization on the basic of Ratio Analysis</em><em> </em>(MOORA) serta dibantu oleh pakar dalam menentukan kriteria yang tepat berkaitan penentuan kayu terbaik yang digunakan dalam pembuatan bahan gitar, setelah berdiskusi panjang ditemukan hasil kriteria yang tepat berdasarkan permasalahan, berupa kriteria kekuatan kayu, serat kayu, tekstur, dan berat kayu. Semua kriteria tersebut, kemudian diproses dengan menggunakan metode MOORA, dengan data yang digunakan sebanyak 29 jenis data kayu, yang diperoleh dari pengrajin yang ada di wilayah tersebut. Setelah diproses, diperoleh hasil 3 kayu terbaik yang layak untuk digunakan sebagai bahan pembuatan gitar secara berurutan dalah kayu Bubinga dengan nilai 18,36785, kayu Bocote dengan nilai 17,33385, dan kayu Eboni dengan nilai 17,33385   dari beberapa pilihan alternatif  kayu yang ada. Membuktikan hasil dari metode MOORA<em>, </em>maka dilakukan responden secara langsung dengan memberikan hasil metode kepada pakar pembuat gitar. Dari 15 pakar pembuat gitar, 13 mengatakan setuju dengan peringkat 3 terbesar, dan 2 mengatakan kurang setuju. Sehingga ditemukan tingkat akurasi berdasarkan penilaian pakar sebesar 86,67 %.</p><p> </p><p><strong>Abstract</strong></p><div><p><em>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 material used for guitar is rotten quickly and is dull in terms of color. Based on these problems, a solution was sought using the Multi Objective Optimization on the basic of Ratio Analysis (MOORA) Decision Support System method and assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long discussion found the results. the right criteria based on the problem, in the form of wood strength criteria, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA method, with the data used as much as 29 types of wood data, which are obtained from craftsmen in the area. After processing, the 3 best woods that are suitable for use as a guitar-making material are Bubinga wood with a value of 18.36785, Bocote wood with a value of 17.333385, and Eboni wood with a value of 17.333385 from several alternative wood choices. . Proving the results of the MOORA method, the respondents directly gave the results of the method to guitar-making experts. Of the 15 expert guitar makers, 13 said they agreed with the third largest ranking, and 2 said they disagreed. So that it found the level of accuracy based on expert judgment of 86.67%. </em></p></div><p><strong><br /></strong></p>

Based on the Agent of the Intelligent Decision Support System Research

2012 ◽  
Vol 482-484 ◽  
pp. 237-240
Author(s):  
Rui Feng Wang ◽  
Peng Li
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Agent Technology ◽  
System Research ◽  
Intelligent Decision Support System ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support

With the rapid development of Agent technology, its application field, more and more widely. In this paper, a based on the Agent of the intelligent decision support system frame, that is, in the original decision support system based on building an Agent, thus increasing the DSS of intelligent decision making level, for the future of intelligent decision support system provides a new way of thinking.

scholarly journals Analysis of Weight Product (WP) Algorithms in the best Go Car Driver Recommendations at PT. Maranatha Putri Bersaudara

2019 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Roni Kurniawan ◽  
Agus Perdana Windarto ◽  
M Fauzan ◽  
Solikhun Solikhun ◽  
Irfan Sudahri Damanik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Assessment Criteria ◽  
Subjective Judgment ◽  
Research Results ◽  
Product Method ◽  
Assessment Results

This study aims to rank the best Go Car Driver. The problem arises because of the inaccuracy in giving value to the driver which results in the decision being given incorrectly so that the assessment tends to be subjective. This research was conducted at PT. Maranatha Putri Bersaudara. Sources of data obtained by observing, interviewing. The settlement method used is a decision support system with the Weight Producted method. The assessment criteria used are Performance (C1), Number of orders (C2), Rating (C3), Attitude (C4), Rating (C5) and Appearance (C6) where the alternatives used are 4 samples. The results obtained using the Weighted Product method are Alternative1 and Alternative4 which are recommended as the best go car driver with the assessment results of 0.0307 and 0.0272. It is expected that research results can be input to the relevant parties in recommending the best go car driver so as to minimize subjective judgment.

scholarly journals Decision Support System to Determine the Number of Production Tofu using the Fuzzy Sugeno Method (Case Study: Home Industries Tofu in Seyegan District)

2018 ◽  
Vol 4 ◽  
Author(s):  
Yuliani Indrianingsih
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Fuzzy Sets ◽  
Support System ◽  
Percentage Error ◽  
Business World ◽  
Production Factors ◽  
A Value ◽  
Home Industries

The production process is a way to increase the usefulness of an item and service using existing production factors. The decision making process to determine the amount of production, especially in the business world contains risks. It needs to be supported by careful calculations so that the risk of loss can be avoided. Industri associations tofu "Waluyo" in Seyegan who still determines the amount of production manually. From the above problems a Decision Support System (DSS) was made using Sugeno's fuzzy method. In this DSS there are three variables modeled, namely, inventory variables, demand variables and production variables. The demand variable consists of two fuzzy sets, the inventory variable consists of two fuzzy sets and 4 rules which are the production rules used by Industry associations tofu "Waluyo" in determining the amount of production. Based on the acuracy   test using the MAPE (Mean Absolute Percentage Error) method obtained a value of 5,3069% or below the error rate of 10%. So this system can be applied in determining the amount of tofu production in the tofu industri community in Seyegan.

Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Dengan Metode Analytical Hierarchy Process

2018 ◽  
Vol 6 (1) ◽  
pp. 75-84
Author(s):  
Adnan Zaki ◽  
Didik Setiyadi ◽  
Fata Nidaul Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Application Programming Interface ◽  
A Value ◽  
Application Programming ◽  
Hierarchy Process ◽  
Selection Of

Abstract   Supported technology development with the development of software or hardware that is increasingly going forward will be much helpful in facilitating decision-making. Sometimes in doing decision-making still do not subjectively based on criteria which should be specified. As an example of the educational units of the current difficulty in decision making the selection of the students Excel in school, that is because still use conventional means which allow the existence of a subjective assessment. Hence the need for a system which can help in making decisions objectively based on the criteria specified to determine the best students. Decision support method used to determine the best students namely Hierachy Process Analytical method (AHP) using five criteria, i.e. the value of the report, the list of attendance, spiritual attitude, social attitudes and skills. In making this application, using the PHP programming language to manipulate data in the database and build the Application Programming Interface (API) and Javascript to process data on the side of the user interface and uses MySQL as the database. This research has succeeded in designing a decision support system is the selection of the best students who objectively and accurately by the method of Analytical Hierarchy Process web-based. The result of the decision support system showed that of the 10 selected alternative, alternative 7 (A7) getting the best students ranked first with a value of 0.184, next is an alternative 5 (A5) with a value of 0.170.   Keywords: AHP, Decision Support System, Selection Of The Best Students   Abstrak   Perkembangan teknologi yang didukung dengan perkembangan software maupun hardware yang semakin maju akan banyak membantu dalam mempermudah pengambilan keputusan. Terkadang dalam melakukan pengambilan keputusan masih dilakukan secara subjektif tidak berdasarkan kriteria-kriteria yang seharusnya ditentukan. Sebagai contoh dari satuan pendidikan saat ini kesulitan dalam pengambilan keputusan pemilihan siswa berprestasi di sekolah, hal tersebut dikarenakan masih menggunakan cara konvensional yang memungkinkan adanya penilaian secara subyektif. Oleh karena itu perlu adanya suatu sistem yang dapat membantu dalam pengambilan keputusan secara objektif berdasarkan kriteria-kriteria yang telah ditentukan untuk menentukan siswa terbaik. Metode pendukung keputusan yang digunakan untuk menentukan siswa terbaik yaitu metode Analytical Hierachy Process (AHP) dengan menggunakan lima kriteria, yaitu nilai rapor, daftar kehadiran, sikap spiritual, sikap sosial dan ketrampilan. Dalam pembuatan aplikasi ini, menggunakan bahasa pemrograman PHP untuk mengolah data di database dan membangun Application Programming Interface (API) dan Javascript untuk mengolah data di sisi user interface serta menggunakan MySQL sebagai database. Penelitian ini telah berhasil merancang sistem ini pendukung keputusan pemilihan siswa terbaik yang objektif dan akurat dengan metode Analytical Hierarchy Process berbasis web. Hasil dari sistem pendukung keputusan menunjukkan bahwa dari 10 alternatif yang dipilih, alternatif 7 (A7) memperoleh peringkat pertama siswa terbaik dengan nilai 0,184, selanjutnya adalah alternatif 5 (A5) dengan nilai 0,170.   Kata kunci: AHP, Pemilihan Siswa Terbaik, Sistem Pendukung Keputusan

Recommendation Decision Support System Smartphone Selection By Method Web-Based Simple Additive Weighting (SAW)

2020 ◽  
Vol 9 (2) ◽  
pp. 213
Author(s):  
I Nengah Aryadi Suputra ◽  
I Gusti Agung Gede Arya Kadyanan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Communication Technology ◽  
Support System ◽  
Web Based ◽  
Simple Process ◽  
A Value ◽  
Wide Range ◽  
Simple Additive Weighting ◽  
Selection Of

Smartphones are already a must-have communication technology to make it easier to live your daily life. However, with so many choices can make consumers confused in determining the appropriate choice. The Simple Additive Weighting (SAW) method can help in the simple process that can be applied to decision-making cases such as in smartphone selection recommendations with a wide range of attributes. In the case of this study, the results were obtained that the Realme X3 Superzoom smartphone scored the highest preference with a value of 22. With this research, it is hoped that this decision support system can help potential consumers to more easily consider in the selection of smartphones that suit their wishes or needs

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