scholarly journals TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION UNTUK MEMILIH JURUSAN BAGI SISWA SMA BERDASARKAN KECERDASAN GANDA

2018 ◽  
Vol 1 (2) ◽  
pp. 107-113
Author(s):  
Moh. Ahsan ◽  
Devi Permatasari ◽  
Retno Marsitin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Harvard University ◽  
Howard Gardner ◽  
Ideal Solution ◽  
Multiple Attribute ◽  
Order Preference

Setiap manusia mempunyai lebih dari satu kecerdasan ganda, seperti logika-matematika, visual-spasial, interpersonal, intrapersonal, linguistik, musikal, naturalis, dan kinestestis (Howard Gardner dari Harvard University). Banyak cara, untuk melihat kecerdasan seseorang diantaranya melalui angka, musik, gambar, kata-kata, kegiatan fisik atau sosial-emosional. Banyak hasil riset mengenai kecerdasan siswa, mengharap kepada orang tua dan wali murid agar selalu memberikan banyak pengaraha, stimulasi dan pengalaman kepada siswa.Pendidikan menjadi point penting untuk orang tua dalam meningkatkan kecerdasan anaknya, dimana dalam lembaga pendidikan anak sebagai peserta didik atau siswa dapat diarahkan kepada bakat, minat dan potensi yang dimilikinya. Jika anak tidak tersentuh oleh dunia pendidikan maka potensi kecerdasan yang dimiliki seorang anak tidak akan berkembang dengan maksimal.Pemilihan jurusan sejak awal bisa mempermudah siswa dalam memilih bidang ilmu atau jurusan yang akan ditekuninya di akademik, sekolah tinggi atau di Universitas kelak yang tentunya akan mengarah kepada masa depan dan karirnya. Sejak diberlakukannya kurikulum 2013 dimana sistem peminatan sudah dimulai dan dilakukan dari kelas Sepuluh atau kelas satu. Hal ini tentunya membutuhkan peran guru Bimbingan Konseling (BK) untuk mengarahkan anak ke bakat, minat dan potensi akademiknya. Pilihan tersebut terdiri dari Ilmu Pengetahuan Alam (IPA), Ilmu Pengetahuan Sosial (IPS) , dan BAHASA (KEMEDIKBUD 2012).Technique for Order Preference by Similiarty to Ideal Solution (TOPSIS) adalah diantara salah satu metode yang didalam MADM (Multiple-Attribute Decesion Making) dan merupakan salah satu pemodelan decision support system (SPK) digunakan untuk pengambilan sebuah keputusan dalam menetapkan kriteria yang terbaik dari beberapa alternatif berdasarkan beberapa kriteria yang telah ditentukan sebelumnya.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH USAHA WARALABA MAKANAN MENGGUNAKAN METODE TOPSIS

2013 ◽  
Vol 5 (2) ◽  
pp. 61-68
Author(s):  
Meri Azmi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Ideal Solution ◽  
Shortest Distance ◽  
Multiple Attribute ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Topsis Technique

Large number of franchises that will be selected as well as indicators of many criteria, it is necessary to build a decision support system that will help decide which franchise to choose. The model used in the decision support system is a Multiple Attribute Decision Making (MADM) and to perform calculations on the case MADM method in finding the best alternative based on the criteria specified use traditional methods TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to perform the calculations. TOPSIS method is chosen as the method is based on the concept that the best alternative was chosen not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution.

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 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 SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERGURUAN TINGGI SWASTA MENGGUNAKAN TOPSIS

2019 ◽  
Vol 1 (2) ◽  
pp. 25-34
Author(s):  
Tati Mardiana ◽  
Siska Selvia Tanjung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Private Colleges ◽  
Multiple Attribute Decision Making ◽  
Private College ◽  
Functional Requirements ◽  
Multiple Attribute ◽  
Order Preference ◽  
The Right

Choosing the right college is a crucial step for students in preparing for their careers and future. With education at the college, the student increases their chances of getting better jobs. But because of the limited capacity of public college, students and parents must select a private college that agrees with desires and abilities. Errors in choosing a college result in students experiencing failure in carrying out education in the college. Therefore, students and parents need to consider several factors such as accreditation status, costs, the number of students, lecturers, facilities, study programs, and others to select a private college. Nevertheless, students and parents experience confusion in choosing a private college. This is due to many private colleges and the lack of information about these private colleges. Therefore, the aim of this study is to build a decision support system to select a private college that matches the desires and abilities of students and parents. This study uses Fuzzy Multiple Attribute Decision Making (FMADM) logic with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to rank each alternative private college. The test results showed that the system performance meets functional requirements and the perform system achieved an accuracy of 83,33%. This decision support system helps students and parents make decisions to select a private college that according to their desires and abilities accurately.  

scholarly journals Penerapan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Perangkat Pribadi

2020 ◽  
Vol 5 (2) ◽  
pp. 195
Author(s):  
Amalia Khansa ◽  
Fauziah Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
A Value ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
The Many

Along with the rapid development of technology, many types of laptops and smartphones have sprung up. The many types on the market can make consumers confused in choosing products. The decision support system for choosing this personal device uses the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The basic concept of this method is to find the weighted sum of the performance ratings for each alternative for all attributes. In the results of manual and system calculations, the SAW and TOPSIS methods produce the same ranking. In the SAW method, the highest-ranking of laptops is obtained by Acer Swift 3 (SF314-56G) with a value of 0.977 and on smartphones, the highest score is obtained by the Samsung Galaxy M51 with a value of 1. In the TOPSIS method, the highest-ranking is obtained by a laptop with a value of 0.9507 and a smartphone with a value of 1.Keywords:Notebook; SAW; Decision Support System; Smartphone; TOPSIS.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN SELEKSI DOKUMEN PENAWARAN JASA KONSULTAN MENGGUNAKAN TOPSIS

2016 ◽  
Vol 2 (3) ◽  
pp. 121
Author(s):  
Randy Purbo Haksomo ◽  
Rudy Ariyanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Order Preference ◽  
Passing Grade

Evaluasi dokumen penawaran teknis dilakukan dengan cara memberikan nilai angka tertentu pada setiap kriteria yang dinilai dan di berikan bobot, kemudian membandingkan jumlah perolehan nilai dari peserta dan hasil evaluasi teknis harus melewati ambang batas nilai teknis (passing grade) juga perhitungan yang dilakukan masih secara manual. Agar dapat mengatasi masalah diatas maka Rumah Sakit Jiwa Dr. Radjiman Wediodiningrat Lawang  ini  memerlukan  suatu  sistem  pendukung  keputusan  (Decision  Support  System)  atau  SPK  (Sistem Pendukung Keputusan). Sedangkan penulis memilih salah satu metode dalam pembuatan SPK yaitu Technique Order Preference by Similarity To Ideal Solution (TOPSIS) yang memiliki Kelebihan antara lain TOPSIS digunakan untuk menyelesaikan suatu masalah dengan beragam kriteria dengan menerapkan bobot nilai pada setiap kriterianya. Karena kemampuannya untuk menghitung banyak kriteria sehingga sesuai untuk menyelesaikan masalah  yang dihadapi. Berdasarkan penelitian yang dilaksanakan oleh penulis pada  pengembangan sistem pendukung keputusan, dapat ditarik kesimpulan bahwa sistem ini telah di implementasikan dengan baik, maupun secara validasi sistem dan akurasi yang mencapai 100%.

scholarly journals TOPSIS Method Application in Choosing The Most-Sale POS Cashier Machine Stuffs and Tools in PT. Mahadana Wikasita

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Rani Irma Handayani ◽  
Normah Normah ◽  
Deni Wironoto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Test Results ◽  
Topsis Method ◽  
A Value ◽  
Order Preference ◽  
One Year ◽  
A Company

PT. Mahadana Wikasita is a company engaged in the sale of machine goods and pos cashier tools. In order to face business competition there are some problems that often arise regarding the sale of goods. PT. Mahadana Wikasita is lacking in monitoring the goods sold, what items consumers need and the storage of data is less effective, so the company can not determine exactly which goods to buy. Therefore, a decision support system is needed that can help solve this problem. In this research, the decision support system used is by Techinique for Order Reference by Similarity to Ideal Solution (TOPSIS) which consists of seven stages using several criteria such as price, type, quality and customer interest. In the test results calculated using the Method For Order Preference bySimiliarity to Ideal Solution (TOPSIS) it can be concluded that the highest value is kios Pakmo mobile cashier application package with a value of 0.920, can be interpreted as the best selling item for one year.

scholarly journals Technique for Order Preference by Similarity to Ideal Solution as Decision Support Method for Determining Employee Performance of Sales Section

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Hardianto Djanggih ◽  
Hardianto Djanggih ◽  
Aan Aswari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Employee Performance ◽  
Top Management ◽  
Ideal Solution ◽  
Topsis Method ◽  
Job Titles ◽  
Order Preference ◽  
Decision Support Method

Employees are the backbone of corporate activities and the giving of bonuses, job titles and allowances to employees to motivate the work of employees is very necessary, salesman on the company very much and to find the best salesman cannot be done manually and for that required the implementation of a system in this decision support system by applying the TOPSIS method, it is expected with the implementation of TOPSIS method the expected results of top management can be fulfilled.

Tourism Recommendation System in Bali Using Topsis and Greedy Algorithm Methods

2020 ◽  
Vol 8 (3) ◽  
pp. 277
Author(s):  
Muhammad Afif Ubaidillah ◽  
Ida Bagus Gede Dwidasmara
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Greedy Algorithm ◽  
Support System ◽  
Recommendation System ◽  
Ideal Solution ◽  
Tourist Attractions ◽  
Order Preference ◽  
The Greedy Algorithm ◽  
Selection Of

Tourism is the mainstay of the economy of the region of Bali and is an important sector in supporting the level of community welfare. The world of tourism is essentially an important symbol for Bali. Of the many tourists who come to Bali, of course not all tourists know all information about Bali, such as in terms of tourist locations, and tourist attractions closest to other tourist attractions. Therefore, the authors aim to create a recommendation system that can provide planning for the selection of tourist attractions according to the closest distance and the user's budget. This system is designed using the TOPSIS (Technique for Order Preference by Similarity To Ideal Solution) method and the Greedy Algorithm. The TOPSIS method is a SPK (Decision Making System) that will be used for the selection of tourist attractions that will help tourists to arrange vacation planning before going on a tour. While the Greedy Algorithm is used to find the closest or shortest distance between a tourist site and other tourist attractions, this algorithm will be able to determine which path will be taken first or called the local optimal path, so that all the paths are taken at the end of the trip and create a travel route shortest or called the global optimum so that it can also be the expected solution. From this it can be determined the value of the shortest travel route that starts from the location of the user's residence to the tourist attractions and to other nearby tourist attractions. The data used is data obtained from DISPARDA, namely tourist data. Research related to the selection of tourism object decisions based on the type of tourism, prices and facilities, and the results are able to provide recommendations for tourist attractions that meet these criteria. Tourism Selection Using Techniques For Order Preference By Similarity To Ideal Solution (Topsis) With Object Localization Visualization [4], Development of Decision Support System for Hotel Determination in Buleleng District Using Analytic Hierarchy Process (AHP) Method and Technique for Others Reference By Similarity To Ideal Solution (TOPSIS) [3], a Decision Support System for Determining Tourist Locations using the Top-sis Method [6]

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