scholarly journals Sistem Pendukung Keputusan Untuk Menentukan Prestasi Akademik Siswa dengan Metode TOPSIS

2015 ◽  
Vol 2 (2) ◽  
pp. 153
Author(s):  
Amelia Nur Fitriana ◽  
Harliana Harliana ◽  
Handaru Handaru
Keyword(s):  
Academic Achievement ◽  
Decision Making ◽  
Student Learning ◽  
Ideal Solution ◽  
Topsis Method ◽  
Learning Outcomes Assessment ◽  
Average Value ◽  
Relative Preference ◽  
Utilization Data ◽  
Negative Ideal Solution

Pengambilan keputusan pada suatu lembaga/sekolah merupakan hal yang sangat penting. Kepala sekolah seharusnya mengambil sebuah keputusan berdasarkan perhitungan dan pemikiran jangka panjang agar keputusan menentukan prestasi akademik siswa yang akan diambil tidak salah. Di MA Darul Masholeh masih terdapat masalah dalam membuat laporan pembelajaran siswa, untuk menentukan siswa yang berprestasi hanya ditentukan menggunakan nilai rapot, belum adanya pemanfaatan secara optimal data laporan penilaian hasil belajar siswa, masih adanya kesulitan untuk mengetahui pencapaian dari kegiatan pembelajaran siswa. Dengan menggunakan metode TOPSIS dapat mempermudah guru untuk menentukan prestasi akademik siswasecara tepat dan cepat, dimana metode topsis adalah salah satu metode pengambilan keputusan dimana alternative yang terpilih merupakan alternatif terbaik yang mempunyai jarak terdekat dari solusi ideal positif dan terjauh dari solusi ideal negatif. Dari pengujian 20 alternative dengan 6 kriteria yaitu hafalan al-qur’an, nilai rata-rata rapot, absensi, nilai minimal, total nilai dan piagam prestasi. Dari 20 alternative di dapatkan siswa yang berprestasi yaitu diurutan pertama Wildan dengan nilai preferensi relative 0,66, Kedua Ratna (0,64), ketiga Sinta (0,55), keempat Rini (0,50), Kelima Faisal (0,38) dan terakhir Sadriyah dengan nilai preferensi relative (0,00).Decision-making in an institution/school is very important. School principals should take a decision based on the calculation and long-term thinking in order to decide on the academic achievement of students who will be taken not wrong. In MA Darul Masholeh there is still a problem in reporting student learning, to determine student achievement is only determined using rapot value, the lack of optimal utilization data reporting student learning outcomes assessment, there is still difficult to determine the achievement of student learning activities. By using TOPSIS method can simplify the teacher to determine academic achievement siswasecara precise and fast, which TOPSIS method is one method of decision-making in which the chosen alternative is the best alternative that has the shortest distance from the positive ideal solution and the farthest from the negative ideal solution. Of the 20 alternative testing with 6 criteria that memorizing the Qur'an, the average value rapot, absenteeism, minimum value, the total value and charter achievement. Of the 20 alternative in getting students who excel are listed first Wildfire with relative preference value of 0.66, the Second Ratna (0.64), third Sprott (0.55), fourth Rini (0.50), the Fifth Faisal (0.38) and the last Sadriyah with relative preference value (0.00).

IMPLEMENTASI METODE ANALITYCHAL HIERACHY PROCESS UNTUK PENGAMBILAN KEPUTUSAN PENILAIAN MURID BERPRESTASI (STUDI KASUS SMP ISLAM KEBUMEN)

2021 ◽  
Vol 3 (2) ◽  
pp. 80-90
Author(s):  
Dita Novita Sari ◽  
Lailaturrohmah Lailaturrohmah ◽  
Ahmad Khumaidi ◽  
Siti Muqodimah ◽  
Trisnawati Trisnawati
Keyword(s):  
Middle School ◽  
Academic Achievement ◽  
Decision Making ◽  
Student Learning ◽  
Analytical Method ◽  
Process Model ◽  
Report Cards ◽  
Learning Outcomes Assessment ◽  
Average Value ◽  
Hierarchy Process

Decision making at a school institution is very important. The principal should make a decision based on long-term calculations and thinking so that the decision to determine the academic achievement of students to be taken is not wrong. In Kebumen Islamic Middle School there are still problems in making student learning reports, to determine students who excel are only determined using report cards, there is no optimal use of student learning outcomes assessment report data, there are still difficulties in knowing the achievements of student learning activities. Using the Analytical Method Hierarchy Process can make it easier for teachers to determine student academic achievement precisely and quickly. The results of testing of the system developed using the Analytical Technical Hierachy Process model can be concluded that the system has been running properly, so that this system can be used to help the school in carrying out the selection of outstanding students. Student Decision Making System Achievement in Kebumen Islamic Middle School uses the Analytical Method Hierarchy Process, this method uses 7 criterion factors namely the average value of report cards, minimum value, total value, attendance, personality, memorization of the Qur'an, and the charter achievement. From the results of the calculation of priorities can be generated ranking of the ranks of the seven high-achieving student candidates ranked first with a priority value of 6.6416 fulfilled by candidate 1

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application

2014 ◽  
Vol 13 (05) ◽  
pp. 957-978 ◽  
Author(s):  
Deniz Okul ◽  
Cevriye Gencer ◽  
Emel Kizilkaya Aydogan
Keyword(s):  
Decision Making ◽  
Drug Benefit ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Inaccurate Information ◽  
Real World Application ◽  
Shortest Distance ◽  
Order Preference ◽  
Negative Ideal Solution

Stochastic multi-criteria acceptability analysis (SMAA-2) and the technique for order preference by similarity to ideal solution (TOPSIS) are methods for evaluating alternatives with multiple criteria. SMAA is a method that is used for solving multi-criteria decision-making problems with uncertain, inaccurate information, and does not require preference information from the decision makers. The TOPSIS method is based on the principle of determining a solution with the shortest distance to the ideal solution and the greatest distance from the negative-ideal solution. This paper proposes a new method, SMAA-TOPSIS, by combining the SMAA and TOPSIS methods. The SMAA-TOPSIS method was executed for two problems: drug benefit-risk analysis and machine gun selection. This paper found that TOPSIS could be used with uncertain and arbitrarily distributed values for weights and criteria measurements by using a combination of SMAA and TOPSIS. Also, we obtained clearer and consistent SMAA outputs.

A New Index for TOPSIS based on Relative Distance to Best and Worst Points

2020 ◽  
Vol 19 (03) ◽  
pp. 695-719
Author(s):  
S. A. Sadabadi ◽  
A. Hadi-Vencheh ◽  
A. Jamshidi ◽  
M. Jalali
Keyword(s):  
Decision Making ◽  
Similarity Index ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Relative Distance ◽  
Ideal Solution ◽  
Topsis Method ◽  
Numerical Examples ◽  
Shortest Distance ◽  
Negative Ideal Solution

The technique for order performance by similarity to ideal solution (TOPSIS) is one of the most well-known methods in multiple criteria decision making (MCDM) problems. The classical TOPSIS method employs a similarity index to rank alternatives. However, the chosen alternative sometimes does not have the shortest distance to the positive ideal solution (PIS) and remotest distance from the negative ideal solution (NIS), simultaneously. Besides, in some cases, TOPSIS cannot assign a unique rank to alternatives. The purpose of this paper is to propose a new similarity TOPSIS index based on the relative distance to the best and worst points. In the proposed method, by treating the separations of an alternative from the PIS and the NIS as negative criterion and positive criterion, respectively, we reduce the original MCDM problem to a new one with two criteria. The proposed index, based on different weights, in optimistic, pessimistic, and apathetic cases, easily determines the score of each alternative. Finally, we illustrate the proposed index using four numerical examples. The results are compared with those published in the literature.

scholarly journals EVALUATION OF FINANCIAL PERFORMANCES OF SME’S LISTED IN THE BIST SME INDUSTRIAL INDEX BY USING TOPSIS MULTICRITERIA DECISION MAKING METHOD

2020 ◽  
Vol 9 (3) ◽  
pp. 63
Author(s):  
Selcuk Kendirli ◽  
Muhammet Selcuk Kaya ◽  
Mustafa Bilgin
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Total Employment ◽  
Multicriteria Decision ◽  
Statistical Institute ◽  
Ideal Solutions ◽  
Order Preference ◽  
Negative Ideal Solution

In this study, the financial performances of SMEs listed in the BIST SME Industrial Index are evaluated by using TOPSIS multicriteria decision-making method. The data of the study acquired from annual financial statements that reported between the 2016-2018 period. Financial performance ranks of SMEs are determined for each year and thus comparative financial performances of SMEs are detected.BIST SME Industrial Index is an index that includes stocks of industrial SMEs traded in BIST Stars, BIST Main, and BIST Emerging Companies markets. SMEs have great importance for the Turkish economy, with their dynamizing roles and with their crucial roles in regional development and job creation. According to the Turkey Statistical Institute data, Turkish SMEs constitute 99.8 % of all enterprises in Turkey. At the same time, Turkish SMEs provide 72.7% of total employment, 62% of total sales, and 58% of the total investments of the Turkish Economy.Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is one of the multicriteria decision-making methods that commonly used in the evaluation of financial performances of firms. The TOPSIS method is based on two main points: the positive ideal solution and the negative ideal solution. With the help of the TOPSIS method, the distances positive ideal solutions and negative ideal solutions of all options are calculated. Options are ranked according to their proximity to the positive ideal solution and their distance to the negative ideal solution. 

scholarly journals Decision Making on Student Academic Achievement Assessment Using the Topsis Method

2021 ◽  
Vol 5 (1) ◽  
pp. 60
Author(s):  
S Susliansyah ◽  
Aditia Dwinanto ◽  
Heny Sumarno ◽  
Hendro Priyono ◽  
Linda Maulida
Keyword(s):  
Academic Achievement ◽  
Decision Making ◽  
Vocational School ◽  
Optimal Decision ◽  
Student Academic Achievement ◽  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Long Time ◽  
The Right

Student academic achievement is a very important matter for all school parties that are directly or indirectly related, especially for Depok Tourism Vocational School, student academic achievement is one of the benchmarks in the success of education. Currently, the process of determining student achievement from the academic side of the Depok Tourism Vocational School is still using a manual system, so it takes a long time to determine the assessment of student academic achievement, because there are quite a lot of student data recording. In addition, it is still less relevant because it has not used the right calculation method, resulting in inaccurate calculations. This research uses the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method, because this method is a simple concept and easy to understand and to help the optimal decision-making process to solve practical decision problems. The results of the research using the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method found that students with the name Akmal Adnanto got the first rank with the highest preference value of 0.760.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

From Pixels to Picture

2021 ◽  
pp. 1-24
Author(s):  
Erich Sneller
Keyword(s):  
Professional Development ◽  
Academic Achievement ◽  
Decision Making ◽  
Prosocial Behavior ◽  
Student Learning ◽  
Well Being ◽  
Student Feedback ◽  
Personal Health ◽  
Teachers Professional Development ◽  
Immense Potential

This chapter addresses a framework and the associated methods by which curious teachers can grow their leadership in their classrooms, schools, and communities. In particular, attention to teachers' professional development in the following areas are examined: teacher-generated student goals, clarity of student learning, soliciting student feedback, and well-being practices for teachers. When these areas are at the center of a teacher and a school's decision-making process, students' academic achievement, personal health, and prosocial behavior have immense potential to improve.

scholarly journals SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING

2013 ◽  
Vol 14 (5) ◽  
pp. 957-978 ◽  
Author(s):  
Abdolreza Yazdani-Chamzini ◽  
Mohammad Majid Fouladgar ◽  
Edmundas Kazimieras Zavadskas ◽  
S. Hamzeh Haji Moini
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Criteria ◽  
Energy Resources ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Proposed Model ◽  
Negative Ideal Solution ◽  
Hierarchy Process ◽  
The Ideal

Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.

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