scholarly journals Implementasi Metode SAW Dan TOPSIS Dalam Pemilihan Rumah Hunian Di Wilayah Semarang Barat

2021 ◽  
Vol 15 (2) ◽  
pp. 50
Author(s):  
Imam Husni Al amin
Keyword(s):  
Simple Additive Weighting ◽  
Topsis Technique

Dalam berumah tangga memiliki tempat tinggal merupakan suatu kebutuhan yang wajib terpenuhi. Disayangkan banyak masyarakat yang kesulitan untuk menentukan rumah hunian yang sesuai dengan kebutuhan dan keinginan saat akan membeli tempat tinggal berupa perumahan. Hal tersebut karena minimnya pengetahuan masyarakat tentang seluk beluk perumahan yang tidak sebanding dengan banyaknya pilihan rumah yang ditawarkan. Sehingga dari permasalahan tersebut dibutuhkan suatu sistem pendukung keputusan untuk membantu masyarakat dalam menentukan rumah hunian yang akan dibeli dan tinggali. Sistem yang dibuat dapat membantu masyarakat untuk menentukan pilihan rumah hunian berdasarkan kriteria yang sudah disediakan oleh sistem dan ditentukan oleh pengguna. Kriteria yang digunakan meliputi type rumah dengan luas tanah, harga, material bangunan, fasilitas rumah dan akses jalan. Perancangan sistem pendukung keputusan ini mengadopsi dua metode yaitu hybrid SAW (Simple Additive Weighting) dan TOPSIS (Technique for Order Performance of Similarity to Idea Solution). Metode SAW digunakan untuk tahap pembobotan sedangkan metode TOPSIS digunakan untuk proses perangkingan. Masyarakat dapat menggunakan sistem ini dengan mudah karena berbasis website dimana pembuatannya menggunakan bahasa pemrograman PHP dan database MySQL

scholarly journals Comparison of Economic Performance of Three Trade Free Zones in Iran (Kish, Gheshm, Chabahar)

2015 ◽  
Vol 3 (1) ◽  
pp. 248
Author(s):  
Ezzatollah Asgharizadeh ◽  
Mehdi Ajalli ◽  
Mansoor Momeni
Keyword(s):  
Economic Performance ◽  
Operational Research ◽  
Special Functions ◽  
Free Trade Zones ◽  
Free Zone ◽  
Job Opportunities ◽  
Significant Difference ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
Topsis Technique

Free zones (Export Processing Regions) with their special Functions including assisting export development and making new job opportunities can be of major help to economy of countries. Present paper aims at comparing economic performance of three free trade zones of Iran, Kish, Gheshm and Chabahar during first ten years of their activities (1973 to 2004) using four techniques of operational research, SAW (Simple Additive Weighting), TOPSIS (Technique for Order-Preference by Similarity to Ideal Solution), ELECTEER (Elimination et Choice Translating Reading) and Taxonomy and taking economic goals of these zones as indices. To this end, economic goals of these zones, that is attracting foreign and internal investment, making new job opportunities, enhancing value of export from these zones and their ability to attract internal and foreign tourists were considered as research indices. Results obtained showed that free zone of Gheshm had a better performance compared to two other zones and this is due to significant difference of its export value compared to other zones, with regard to the available statistics and the said indices. Kish and Chabahar respectively followed it.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH SAKIT DENGAN PELAYANAN RAWAT INAP TERBAIK

2020 ◽  
Vol 6 (4) ◽  
pp. 55-62
Author(s):  
Chintya Puspa Dewi ◽  
Mustika Mentari
Keyword(s):  
Length Of Stay ◽  
Average Length ◽  
Ideal Solution ◽  
Bed Occupancy ◽  
Average Length Of Stay ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
Topsis Technique ◽  
Turn Over

Rumah sakit adalah tempat pelayanan kesehatan yang pasti sangat diperlukan oleh masyarakat.Pelayanan tersebut dilihat dari efisiensi, sarana dan prasarana yang memadai, dan faktor lainnya. Efisiensi pelayanan rawat inap juga termasuk hal yang penting bagi pasien, khususnya yang harus dirawat di rumah sakit. Pihak rumah sakit melakukan sensus harian untuk meninjau dan meningkatkan kualitas pelayanan rawat inap. Kriteria pelayanan rawat inap adalah BOR (Bed Occupancy Ratio), BTO (Bed Turn Over), TOI (Turn Over Interval), dan AVLOS (Average Length of Stay). Untuk kemudahan dalam memilih, maka dibutuhkan sistem pendukung keputusan sebagai alat. Rumah sakit yang akan dijadikan pilihan oleh peneliti adalah rumah sakit yang ada di wilayah Kota Batu. Metode yang digunakan adalah gabungan SAW (Simple Additive Weighting) dan TOPSIS (Technique For Order Preference By Similiarity To Ideal Solution). Metode ini dipilih karena menggunakan persamaan matematis yang lebih sederhana untuk mendapatkan solusi terbaik. Hasil pengujian dapat digunakan untuk membantu masyarakat dalam pemilihan rumah sakit.

scholarly journals ENHANCED NETWORK SELECTION AND HANDOVER SCHEMA FOR HETEROGENEOUS WIRELESS NETWORKS

2019 ◽  
Vol 01 (03) ◽  
pp. 160-171 ◽  
Author(s):  
Duraipandian M
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Vertical Handover ◽  
User Preference ◽  
Network Selection ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
Topsis Technique ◽  
The Cost ◽  
Grey Relational

The seamless communication between the devices of the heterogeneous wireless networks still remains as a challenge due to the delay incurred, the cost difference and the bandwidth variations.so it becomes necessary for a perfect management of the hand over and the selection of the network to provide a continuous conveyance in the broadcasting or the sharing of the information’s. So the paper initiates an enhanced network selection and a vertical hand over schema that is context aware and based on the user preference utilizing the grey relational analysis integrated with the particle swarm optimization. The performance analysis of the proposed method of vertical handover evinces the perfect network selection that enables a continuous connection for the heterogeneous networks and shows an enhanced throughput and latency in handover compared to the other methods like TOPSIS (technique for order preference by similarity to ideal solution) and SAW(simple additive weighting).

A Multiple Criteria Evaluation of a New Streets Development Projects in Vilnius City

2017 ◽  
Author(s):  
Marius Jakimavicius ◽  
Marija Burinskiene ◽  
Modesta Gusaroviene
Keyword(s):  
Technological Development ◽  
Transport Infrastructure ◽  
Development Projects ◽  
Infrastructure Projects ◽  
Technological Parameters ◽  
Multiple Attribute ◽  
Solution Methods ◽  
Calculation Results ◽  
Simple Additive Weighting ◽  
Topsis Technique

The paper considers the technological development of a new streets equipment in Vilnius street network. All main transport infrastructure projects in Vilnius city are presented and analyzed with reference to the selected system of transport projects assessment criteria. This article describes the situation and progress of the main streets development projects in Vilnius and shows the influence for whole Vilnius city transportation system. The paper also analyses parameters for infrastructure projects for the multiple attribute ranking of a new streets development or reconstruction in Vilnius city. Multi-criteria methods have been chosen to rank three projects and to estimate the best and most effective transport network object based on the preferred technological, transportation operational and financial data. The experts of different decision-making groups have analyzed the importance of parameters selected for assessing alternatives of a new Vilnius city streets development projects ranking. The experts on the transport system have been invited to determine the relative weights of the defined criteria. Two techniques, including, SAW (Simple Additive Weighting) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) methods have been used and compared to determine the most efficient project based on economic and technological parameters. To rank alternatives and to make a comparison of the obtained calculation results, two multi-criteria methods have been applied in this research.

A GIS AND MULTI‐CRITERIA‐BASED ANALYSIS AND RANKING OF TRANSPORTATION ZONES OF VILNIUS CITY

2009 ◽  
Vol 15 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Marius Jakimavičius ◽  
Marija Burinskienė
Keyword(s):  
System Analysis ◽  
Urban Transportation ◽  
Development Planning ◽  
Urban Transport ◽  
Decision Makers ◽  
Key Factors ◽  
Simple Additive Weighting ◽  
Topsis Technique ◽  
The City

Fixing the accessibility is a standard issue of transport analysis, which can be of interest to many socioeconomic applications. In the paper we propose and discuss accessibility and other indicators‐based urban transport system analysis and GIS (geographic information systems) calculation method for indicating problematic transportation zones in Vilnius city. The main parameter is time‐based accessibility from/to the central part of Vilnius and other transport zones in the city. Created GIS application computes the ranks for transport zones of Vilnius city according to accessibility and Vilnius statistics in these zones (street network density in city zones, number of working places, number of equipped parking places, number of attractive objects in transportation zones). The GIS decision support system is based on 2 calculation methods Topsis(Technique for OrderPreference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting). Application of transportation zones analysis improves the quality of basic environment statistics and fills many data gaps related to urban statistics, providing information to decision‐makers and the general public concerning key factors determining the state of urban transportation environment. This paper outlines criteria and models used in Vilnius to develop urban transportation indicators and the reasons why the selected indicators represent the first important step to achieve a comprehensive system of indicators of urban transportation sustainability in Vilnius city. This model could be integrated in systems of urban transport planning and sustainable development planning. Santrauka Straipsnyje aptariama indikatorių sistema, reikalinga miesto transporto rajonams ranguoti, remiantis sprendimų paramos skaičiavimo metodais ir GIS (geografinės informacinės sistemos) technologijomis. Buvo identifikuojami Vilniaus miesto transporto rajonai, probleminiai susisiekimo sistemos požiūriu. Analizei atlikti buvo naudojami šie rodikliai: gatvių tinklo tankis, visuomeninio transporto tinklo tankis, automobiliu statymo vietų tankis, kelionių skaičius kiekviename transporto rajone, gatvių tinklo ilgis, tenkantis 1000 transporto rajono gyventojų, dirbančiųjų ir gyventojų tankių disproporcija transporto rajone, transporto rajono pasiekiamumas nuo miesto centro. GIS aplikacija su integruotais daugiakriteriniais sprendimų paramos sistemos skaičiavimo metodais, kaip paprastųjų svorių sudėjimo SAW ir idealiojo taško TOPSIS, ranguoja Vilniaus miesto transporto rajonus ir leidžia identifikuoti problemines susisiekimo sistemos požiūriu miesto vietas. Plečiant sukurta aplikacija, naudojant daugiau indikatorių galima sukurti bendra indikatorių sistemą miestų planavimo uždavinių sprendimams pagrįsti.

scholarly journals Daugiatikslių sprendimo priėmimo metodų jautrumo analizė taikant Monte Karlo modeliavimą

2011 ◽  
Vol 56 ◽  
pp. 182-190 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Leonas Ustinovičius
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Multicriteria Decision Making ◽  
Final Decision ◽  
Research Papers ◽  
Order Preference ◽  
Multicriteria Decisions ◽  
Simple Additive Weighting ◽  
Topsis Technique

Daugiakriteriams sprendimo priėmimo uždaviniams spręsti taikant kiekybinius daugiatikslius sprendimo priėmimo metodus, dažniausiai neatsižvelgiama į galimas pradinių duomenų – rodiklių reikšmių paklaidas. Todėl neaišku, ar gautas sprendimas (alternatyvų išrikiavimas pagal racionalumą) nesikeis, jeigu keistųsi rodiklių reikšmės (± n %, n< 50 %). Šiame straipsnyje, taikant Monte Karlo modeliavimą, atliekama kiekybinių daugiatikslių sprendimo priėmimo metodų – TOPISIS, SAW ir COPRAS – jautrumo analizė. Jautrumo analizės pagrindas yra rodiklių reikšmių pasiskirstymas. Darbo tikslas – sukurti jautrumo analizės modelį, kuriuo būtų galima nustatyti daugiatikslių metodų jautrumą rodiklių reikšmių pasiskirstymo dėsnio atžvilgiu ir įvertinti šiais metodais gauto sprendimo patikimumą. Pateikto jautrumo analizės modelio etapai: 1) rodiklių pseudoatsitiktinių reikšmių generavimas pagal tolygųjį ir normalųjį dėsnius; 2) alternatyvų racionalumų vertinimas nagrinėjamais metodais, naudojant generuotas sprendimų matricas; 3) metodų jautrumo ir gauto sprendimo patikimumo vertinimas. Modeliuojant sprendimo paramos sistemas, atliekant skaičiavimus sprendimo priėmimo metodais, rekomenduojama atsižvelgti į planuojamų taikyti metodų jautrumą, kad padidėtų sprendimo patikimumas.The Sensitivity Analysis of the Multiattribute Decision Making Methods by Monte Carlo SimulationRūta Simanavičienė, Leonas Ustinovičius SummaryThe quantitative multicriteria decision making methods are used for decision making, but the biases of the values of the attributes are ignored often. Therefore it is not clear, if the final decision were changed, when changing the values of attributes. There are scientific research papers intended for the sensitivity analysis of multicriteria decisions, according to the significances of attributes. This paper analyses the sensitivity of quantitative multiattribute decision making TOPSIS – Technique for Order Preference by Similarity to Ideal Solution, SAW – Simple Additive Weighting, COPRAS – COmplex PRoportional ASsessment methods, according to attribute distribution. On this basis of Monte Carlo modeling (simulation) the generation of pseudorandom attribute values is being made, according to uniform and normal distribution. Using generated data the efficiency of alternatives is carried out by the above methods. As a result the sensitivity of the methods and the reliability of final decision are presented. When multiattribute decision making methods are used on the modeling decision support systems it is recommended to consider the sensitivity of these methods.

scholarly journals Analisis Pemilihan Marketplace Terbaik pada Masa Pandemi COVID-19 Menggunakan Metode Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) dan Weighted product (WP)

2021 ◽  
Vol 5 (2) ◽  
pp. 153
Author(s):  
Zahra Wafda Syamila ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Online Media ◽  
Ideal Solution ◽  
Weighting Method ◽  
A Value ◽  
Selection Decision ◽  
Simple Additive Weighting ◽  
Topsis Technique

Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.

IMPLEMENTASI KOMBINASI METODE SAW DAN TOPSIS UNTUK SELEKSI BEASISWA KARTU INDONESIA PINTAR

2021 ◽  
Vol 5 (1) ◽  
pp. 349-356
Author(s):  
Sintiya Rismayanti ◽  
Suryo Adi Wibowo ◽  
Yosep Agus Pranoto
Keyword(s):  
Ideal Solution ◽  
Simple Additive Weighting ◽  
Topsis Technique

KIP (Kartu Indonesia Pintar) adalah program beasiswa berupa biaya pendidikan untuk calon mahasiswa yang tidak mampu, baik dari segi ekonomi atau biasa disebut dengan beasiswa bagi siswa yang kurang mampu, tidak dapat membiayai pendidikan di perguruan tinggi, serta beasiswa diperuntukkan bagi peserta didik yang berprestasi, baik akademis maupun non akademis. Metode SAW (Simple Additive Weighting) atau biasa disebut penjumlahan berbobot yang mencari dari rating kerja dari setiap alternatif dan atributnya. Metode TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) berkonsep alternatif yang dipilih memiliki dua jarak yaitu jarak terdekat atau solusi ideal positif, dan jarak terjauh atau solusi ideal negatif. Kombinasi metode SAW dan TOPSIS digunakan untuk menentukan kelolosan beasiswa KIP, studi kasus Institut Teknologi Nasional Malang karena mudah dimengerti serta komputasi yang efesien dalam mengukur kinerja dari setiap alternatif. Aplikasi yang digunakan untuk mendukung keputusan, bagi calon mahasiswa atau pendaftar beasiswa KIP berupa seleksi. Dari pengujian fungsional semua fitur berjalan sesuai fungsinya, serta dapat digunakan di beberapa browser/ browser berbeda-beda. Dari pengujian user menyatakan setuju  bahwa aplikasi mudah digunakan, tampilan yang jelas, menu aplikasi  terlihat jelas, mudah dipahami 87.5% setuju 12.5% sangat setuju, kurang setuju 0% dari 2 pengguna aplikasi yaitu admin LPMB Institut Teknologi Nasional Malang. Dari pengujian error didapatkan mulai 1 pertama sampai alternative 10, tingkat error adalah 0% dapat dikatakan dan disimpulkan bahwa program berjalan sempurna 100% tanpa error/sesuai perhitungan

scholarly journals Evaluation of a Third-Party Logistics (3PL) Provider Using a Rough SWARA–WASPAS Model Based on a New Rough Dombi Agregator

Symmetry ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 305 ◽  
Author(s):  
Siniša Sremac ◽  
Željko Stević ◽  
Dragan Pamučar ◽  
Miloš Arsić ◽  
Bojan Matić
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Third Party ◽  
Third Party Logistics ◽  
Dangerous Goods ◽  
Supply Chain Logistics ◽  
Transport Services ◽  
Simple Additive Weighting ◽  
Transport Of Dangerous Goods ◽  
Topsis Technique

For companies active in various sectors, the implementation of transport services and other logistics activities has become one of the key factors of efficiency in the total supply chain. Logistics outsourcing is becoming more and more important, and there is an increasing number of third party logistics providers. In this paper, logistics providers were evaluated using the Rough SWARA (Step-Wise Weight Assessment Ratio Analysis) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. The significance of the eight criteria on the basis of which evaluation was carried out was determined using the Rough SWARA method. In order to allow for a more precise consensus in group decision-making, the Rough Dombi aggregator was developed in order to determine the initial rough matrix of multi-criteria decision-making. A total of 10 logistics providers dealing with the transport of dangerous goods for chemical industry companies were evaluated using the Rough WASPAS approach. The obtained results demonstrate that the first logistics provider is also the best one, a conclusion confirmed by a sensitivity analysis comprised of three parts. In the first part, parameter ρ was altered through 10 scenarios in which only alternatives four and five change their ranks. In the second part of the sensitivity analysis, a calculation was performed using the following approaches: Rough SAW (Simple Additive Weighting), Rough EDAS (Evaluation Based on Distance from Average Solution), Rough MABAC (MultiAttributive Border Approximation Area Comparison), and Rough TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). They showed a high correlation of ranks determined by applying Spearman’s correlation coefficient in the third part of the sensitivity analysis.

scholarly journals PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN HASIL KINERJA KARYAWAN PADA TB HARMONI BANGUNAN

2019 ◽  
Vol 2 (1) ◽  
pp. 58-64
Author(s):  
Imti Tsalil Amri
Keyword(s):  
Ideal Solution ◽  
Simple Additive Weighting ◽  
Topsis Technique

TB Harmoni Bangunan merupakan perusahaan yang bergerak dalam bidang distribusi semen dari PT. Semen Padang dan eksplorasi pertambangan batu bara yang dalam menilai kinerja karyawan hanya berdasarkan pengamatan langsung yang belum memiliki sebuah standar penilaian dalam membandingkan hasil kinerja satu karyawan dengan karyawan yang lain sehingga membuat pimpinan kesulitan dalam memberikan sebuah penghargaan bagi karyawan yang memiliki hasil kinerja terbaik. Tujuan dari penelitian ini untuk memberikan solusi untuk permasalahan yag terjadi dengan menawarkan sistem pendukung keputusan dalam menilai hasil kinerja karyawan terbaik dengan menggunakan beberapa kriteria yang telah ditentukan oleh pimpinan TB Harmoni Bangunan. Dalam membangun sistem pendukung keputusan ini menggunakan bahasa pemograman PHP dan database MySQL dengan Metode SAW (Simple Additive Weighting), WP (Weighted Product) dan TOPSIS (Technique For Others Reference by Similarity to Ideal Solution). Kerangka kerja penelitian ini terdiri dari perumusan masalah, studi literatur, pengumpulan data, pengembangan sistem, dan penyusunan laporan. Hasil penelitian ini menghasilkan sebuah sistem pendukung keputusan yang dapat digunakan oleh pimpinan dan manager dalam menilai hasil kinerja karyawan dimilikinya.

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