scholarly journals DECISION SUPPORT SYSTEM FOR PROVISION OF NATURAL DISASTER VICTIM LOGISTIC ASSISTANCE WITH TOPSIS METHOD

2020 ◽  
Vol 2 (2) ◽  
pp. 55-60
Author(s):  
Enok Tuti Alawiah ◽  
Sefrika Sefrika

At the beginning of 2020 there was a natural disaster that caused many people to lose their homes, damage to public facilities and infrastructure, as well as the breakdown of transportation links connecting villagers, especially in 3 districts namely Sukajaya, Nanggung, and Cigudeg. As a result of the disaster, many villages are isolated and residents need a lot of logistical support to meet their needs. To overcome these problems, we need a system that can help the government and volunteers who are interested in the decision making the process so that the provision of assistance for victims of natural disasters can be right on target and in accordance with the urgency of basic needs and logistics needed. Decision support systems using the TOPSIS method are used to solve multi-criteria problems by offering various alternative solutions to solve problems. The results obtained a final preference value of 0.68 from C3 criteria in order to prioritize residents with closed transportation access to channel disaster relief funds for victims of natural disasters in Bogor Regency.

2020 ◽  
Vol 1 (3) ◽  
pp. 220
Author(s):  
Amatillah Nasution ◽  
Kurnia Ulfa

Life insurance is a term used to refer to actions, systems, or businesses in which financial protection (or financial compensation) for life, property, health and so on gets reimbursed from unexpected events that can occur such as death , loss, damage or illness, which involves regular premium payments over a period of time in exchange for a policy that guarantees such protection. The term "insured" usually refers to everything that gets protection. Decision Support System is defined a system intended to support management decision making, Decision making is the main function of a manager or administrator. Decision making activities include identifying problems, finding alternative solutions to problems, evaluating these alternatives and choosing the best decision alternatives. The Vise Kriterijumska Optimazacija Kompromisno Resenje (VIKOR) method is one of the methods used in decision making. To use the decision support system method must have criteria that will be used in the determination, in addition it must determine the level of importance of each criterion. So the decision support system used must also have comprehensive and integrated planning to minimize the level of risk of failure and decision selection


2018 ◽  
Vol 7 (2.3) ◽  
pp. 109 ◽  
Author(s):  
Asmara Indahingwati ◽  
Muh Barid Nizarudin Wajdi ◽  
Dwi Ermayanti Susilo ◽  
Nuning Kurniasih ◽  
Robbi Rahim

Decision Support System is an interactive system that supports decision in the decision-making process through alternatives derived from the processing of data, information and design of the models. Selection decision support system of chemical fertilizer in fruit plant is expected to help anyone who wants to cultivate fruit trees can determine the chemical fertilizer as expected based alternatives and criteria set by the user. In this research method used is TOPSIS Method and Method of Fuzzy Logic. TOPSIS method is one of multiple criteria decision making method that uses the principle that the alternatives selected must have the shortest distance. Fuzzy Logic is a methodology of control systems troubleshooting, the fuzzy logic stated that everything is a binary which means it is only two possibilities, "Yes or No", "True or False", "Good or Bad", and others. Therefore, all of these can have a membership value of 0 or 1.  


2019 ◽  
Author(s):  
vilda yulia putri ◽  
Hade Afriansyah ◽  
Rusdinal

Decision making is what people usually do when dealing with a problem which give people several alternative options. In doing alternative selection, the decision maker will do various consideration to select the available alternative options. Problems that occurs in decision making generated by various alternative options being offered. Further, each alternative has almost the same value to one another. That values that almost equal to one another caused the decision maker is difficult to determine which alternative should be chosen.Therefore, the writer design and build design tool for Decision Support System (DSS) using ELECTRE method. This system is expected to help people overcome various problems which related to decision making. This system is expected to be able to increase effectivity and efficiency for users in helping to provide alternative solutions that will be chosen later.


2017 ◽  
Vol 7 (2) ◽  
pp. 81
Author(s):  
Agusta Praba Ristadi Pinem

Indonesia is prone to geology natural disasters, such as the earthquake and tsunami. The research aims to develop decision support system that can be used for assessment of damage caused by natural disaster after disaster. The method used in this system is method of fuzzy   ELECTRE and ECLAC. Fuzzy ELECTRE method used to determine the priority of the affected area, while ECLAC method used to calculate the natural disasters damage. Fuzzy method used in the process of assessing the weight and classification process. Variables used in this research is the sector that were damaged. Integration of fuzzy and ELECTRE methods applied in the prioritization of areas affected by natural disasters. The result of this research is classification of disaster area with rank based on weighting. Output visualized decision-making system in the form of dashboards in the form of mapping the area affected by the disaster. The variable rate of interest was made as a decision maker in the form of mapping that indicates the priority areas most severely affected by natural disasters. The process of calculation, analysis and ranking built in one integrated system. Combination mapping and decision support system produce information to support decision making. Ranking information similar with priority in BNPB documents with 0.96 coefficient Rank Spearman correlation (ρ).


2021 ◽  
Vol 4 (1) ◽  
pp. 18-24
Author(s):  
Aziza Najar ◽  
◽  
Volvo Sihombing ◽  
Musthafa Haris Munandar ◽  
◽  
...  

This study aims to solve problems in the recruitment of prospective BEM members at Labuhan Batu University. To select a competent member of the Labuhan Batu University Student Executive Board (BEM) organization, several stages of selection were carried out. However, decision making in recruitment isprone to collusion and nepotism at the student level on campus. To overcome this, a decision support system (DSS) for the recruitment of BEM members was designed using the SAW and TOPSIS methods. The DSS is designed using criteria, namely: GPA, Interview Score, Support Certificate, Organizational Experience and Commitment with weights for each criterion are 10, 20, 20, 30, 30.The result of this study is a decision support system using the TOPSIS method and SAW. The two best alternatives obtained from the ranking results using these two methods are alternatives with numbers A7 and A8. Keywords: Decision Support System, Selection, SAW, TOPSIS, Method


2021 ◽  
Vol 1 (2) ◽  
pp. 115-122
Author(s):  
M Rizky Pratama ◽  
Rolly Yesputra ◽  
Sudarmin Sudarmin

Abstract: The Tanjungbalai City Government annually conducts an assessment of the best sub-district using existing indicators. So far, the assessment has only used Microsoft Excel calculations so that the time used to carry out the assessment process seems long and slow. To overcome these problems, a solution method with accuracy and speed in making the best district assessment decisions is needed. The Decision Support System was made using the Laravel framework and the MariaDB database and the method used was TOPSIS. The results of the best sub-district assessment using a Decision Support System with the TOPSIS method are needed to assist the assessment team in carrying out a faster assessment process so that the results obtained are much better. Analysis and implementation of a decision support system using the TOPSIS method to classify the best sub-districts in Tanjungbalai City facilitates the decision-making process to be faster and better for the Tanjungbalai City Regional Secretariat, especially in the Government section in choosing the best District based on existing criteria. The results of processing the system are 100% the same as the results of manual processing. Therefore this system is very helpful in speeding up work.Keyword: Decision support system; TOPSIS; Best District Assessment.  Abstrak: Pemerintah Kota Tanjungbalai setiap tahunnya mengadakan penilaian Kecamatan terbaik dengan menggunakan indikator-indikator yang ada. Selama ini penilaian yang dilakukan hanya menggunakan perhitungan Microsoft Excel sehingga waktu yang digunakan untuk melakukan proses penilaian terkesan lama dan lambat. Untuk mengatasi permasalahan tersebut maka diperlukanlah metode penyelesaian dengan ketepatan dan kecepatan pada pengambilan keputusan penilaian kecamatan terbaik. Sistem Pendukung Keputusan tersebut dibuat menggunakan framework Laravel dan  basis data MariaDB serta metode yang digunakan adalah TOPSIS. Hasil dari Penilaian kecamatan terbaik menggunakan Sistem Pendukung Keputusan dengan metode TOPSIS sangat dibutuhkan untuk membantu tim penilai  dalam melaksanakan proses penilaian yang lebih cepat agar hasil yang akan didapatkan jauh lebih baik. Analisis dan implementasi sistem pendukung keputusan dengan metode TOPSIS mengklasifikasi kecamatan terbaik di Kota Tanjungbalai memudahkan proses pengambilan keputusan menjadi lebih cepat dan lebih bagus kepada Sekretaraiat Daerah Kota Tanjungabalai khususnya dibagian Pemerintahan dalam memilih Kecamatan terbaik berdasarkan kriteria/indikator yang ada. Hasil pengolahan sistem 100 % sama dengan hasil pengolahan secara manual. Maka dari itu sistem ini sangat membantu dalam mempercepat pekerjaan.Kata Kunci : Sistem Pendukung Keputusan;TOPSIS;Penilaian Kecamatan Terbaik.


2014 ◽  
Vol 9 (2) ◽  
pp. 75 ◽  
Author(s):  
Hoga Saragih ◽  
Murni Marbun ◽  
Bobby Reza

This research is the design of a decision support system (DSS) to determining the student as scholarship recipients of the STMIK Pelita Nusantara, Medan, Indonesia, with the approach of Fuzzy Multi Attribute Decision Making (FMADM) with TOPSIS method. Approach to Fuzzy Multiple Attribute Decision Making (FMADM) by specifying the values of the weights for each of the criteria or attributes and TOPSIS method for selecting student scholarship recipients. Implementation of a decision support system that can show the interaction of the user with the software application built using Visual Basic 2008 programming language. Conclusion the results obtained from the discussion shows that the approach with FMADM TOPSIS give final value calculation results ordered that can help decision makers determine the student deserves the scholarship. The existence of a decision support system that has been designed so the process of determining a student scholarship recipients more accurately, quickly, and accurately.


JURNAL ELTEK ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Agung Teguh Almais ◽  
Fatchurrohman Fatchurrohman ◽  
Khadijah Fahmi Hayati Holle

Penyusunan aksi rehabilitasi rekonstruksi pasca bencana alam dilakukan untuk mengetahui jenis kerusakan dan besarnya kerugian pasca bencana alam yang harus ditanggung pemerintah. Agar jenis kerusakan dan besarnya kerugian pasca bencana alam sesuai data yang dilapangan maka dilakukan penelitian yang mengimplementasikan Decision Support System Dynamic (DSSD) dengan metode Fuzzy-Weighted Product (F-WP). Hasil dari pengujian menghasilkan tiga jenis data yang berbeda yaitu data uji yang sama dengan data pola, data uji yang tidak sama dengan data pola, dan data uji yang tidak bisa diterpakan untuk pengujian. Masing-masing jenis data uji tersebut memilik prosentase yaitu 73% data uji yang sama dengan data pola, 22% data uji yang tidak sama dengan data pola, dan 5% merupakan data yang tidak dapat digunakan sebagai data uji. Dari hasil pengujian tersebut dapat disimpulkan bahwa metode Fuzzy-Weighted Product (F-WP) dapat diterapkan pada Decision Support System Dynamic (DSSD) untuk membantu surveyor dalam melakukan penyusunan aksi rehabilitasi rekonstruksi pasca bencana alam.   Preparation of rehabilitation reconstruction actions after natural disasters is carried out to determine the types of damage and the number of losses after natural disasters that must be borne by the government. So that the type of damage and the magnitude of losses after natural disasters match the data in the field, a study is carried out that implements a Decision Support System Dynamic (DSSD) with the Fuzzy-Weighted Product (F-WP) method. The results of tests produce three types of data that are different, namely the same test data with pattern data, test data that are not the same as pattern data, and test data that cannot be applied for testing. Each type of test data has a percentage that is 73% of the same test data like the pattern data, 22% of the test data are not the same as the pattern data, and 5% are data that cannot be used as test data. From the test results it can be concluded that the Fuzzy-Weighted Product (F-WP) method can be applied to the Decision Support System Dynamic (DSSD) to assist surveyors in carrying out the rehabilitation reconstruction actions after natural disasters.


2019 ◽  
Vol 8 (3) ◽  
pp. 36-46
Author(s):  
Marilena Tarousi ◽  
Michail Sarafidis ◽  
Panagiotis Katrakazas ◽  
Ioannis Kouris ◽  
Stavros Pitoglou ◽  
...  

The main objective of the article is to employ cloud computing technology in order to develop the decision support system of an integrated platform aimed to aid decision makers in natural disaster incidents. This specific platform refers to the most commonly occurred natural disasters in Europe. The decision support system included in the cloud-based platform, is an advanced collection of data processing tools that provides the possibility to export useful conclusions for decision making about the urgent needs of families and children.


2020 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Sahat Sonang ◽  
Arifin Tua Purba ◽  
Victor Marudut Mulia Siregar

This research was conducted to solve the problem of decision making to determine the feasibility of giving loans to CUM Caritas HKBP Pematangsiantar. The applicant's assessment includes an administrative assessment and the survey is still being conducted without using a computer-based decision support system. To simplify the decision making to determine the feasibility of giving the loan, a decision support system was designed using the Topsis method (Technique for Order Preference by Similarity to Ideal Solution). The criteria used consist of: Income, Dependent, Loan Size, Guarantee Value and Number of Installments. The results of the calculation of the case of this study that are eligible for a loan in order are NA2 with a value of 0.6390, NA1 with a value of 0.5737, the third is NA3 with a value of 0.5053, and the last is NA4 with a value of 0.3102. The results of this study can be concluded that the Topsis method can answer or resolve problems faced by CUM Caritas HKBP Pematangsiantar in determining creditworthiness.


Sign in / Sign up

Export Citation Format

Share Document