scholarly journals FUZZY ANALYTICAL HIERARCHY PROCESS TOPSIS UNTUK SELEKSI PADA ANGGOTA PASKIBRAKA

2016 ◽  
Vol 3 (2) ◽  
pp. 156
Author(s):  
Jhondy Baharsyah ◽  
Muliadi Muliadi ◽  
Dwi Kartini

<p align="center"><strong>Abstract</strong></p><p><em>Every year Indonesia to conduct the selection of students and high school students and above to be representative of their school as troops heritage flag raisers. During the assessment process for the selection of candidates for members Paskibraka done manually on paper and separate between the assessment criteria for the other criteria, then the assessment results are stored in the form of an excel file. To facilitate the assessment process then takes a decision support system for the selection of candidates for members Paskibraka by applying Fuzzy AHP TOPSIS. Fuzzy AHP TOPSIS method is a convenient method to solve the problem of multi-criteria taking into account the values of the existing criteria. Thus the necessary decision support system using Fuzzy AHP TOPSIS method, in order to help provide recommendations for the decision of selectors prospective team members Paskibraka.</em></p><p><strong><em>Keywords</em></strong><strong><em> </em></strong><em>: Fuzzy AHP TOPSIS, Decision Support Systems, Selection</em></p><p><em><br /></em></p><p align="center"><strong>Abstrak</strong></p><p><em>Setiap tahun indonesia melakukan seleksi siswa dan siswi sekolah menengah keatas untuk menjadi perwakilan sekolah mereka sebagai pasukan pengibar bendera pusaka (paskibraka). Selama ini proses penilaian untuk seleksi calon anggota paskibraka dilakukan secara manual di atas kertas dan terpisah antara penilaian untuk kriteria yang satu dengan kriteria yang lainnya, kemudian hasil penilaian tersebut disimpan dalam bentuk file excel. Untuk mempermudah proses penilaian tersebut maka dibutuhkan suatu sistem pendukung keputusan untuk seleksi calon anggota paskibraka dengan menerapkan metode Fuzzy AHP Topsis. Metode Fuzzy AHP Topsis merupakan salah satu metode yang mudah digunakan untuk menyelesaikan masalah multi kriteria dengan memperhitungkan nilai-nilai dari kriteria yang ada. Maka dari itu diperlukan sistem pendukung keputusan menggunakan metode Fuzzy AHP Topsis, supaya dapat membantu memberikan rekomendasi keputusan untuk tim penyeleksi calon anggota paskibraka.</em></p><p><strong><em>Kata kunci</em></strong><em> : </em><em>Fuzzy AHP Topsis, Sistem Pendukung Keputusan, Seleksi</em></p>

Tech-E ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Nungsiyati Nungsiyati ◽  
Sri Hartati ◽  
Deli Wahana Aprilianti

Activities in the selection of candidates for PASKIBRAKA every year aim to find the best sons and daughters who will be assigned as heirloom flag raisers. Selection of candidates for PASKIBRAKA members is done manually, to determine the final score of each participant. The selection committee still uses paper and is separate from the assessment to one criterion with the other criteria. In the assessment process with a large number of participants it will take a long time. To simplify the assessment process, a decision support system is needed for the selection of PASKIBRAKA candidates, using the TOPSIS Method (Technique for Order Preference by Similarity to Ideal Solution). TOPSIS is one method that is easy to use to solve multi-criteria problems by taking into account the values ​​of existing criteria. Based on the results of the case example, the candidate PASKIBRAKA selection shows that the results of the experiment use the same system as the manual calculation. And the calculation of the TOPSIS Method will produce output in the form of ranking from PAKIBRAKA candidates  


2019 ◽  
pp. 24-32
Author(s):  
Deny Suyandi ◽  
Rini Sovia ◽  
Aulia Fitrul Hadi

Decision support system is a combination of individual intelligence sources with the ability of components to improve the quality of decisions. Decision support systems are also computer-based information systems for management decision-making that deal with semi-structured problems. With a decision support system makes it easier for us to determine the decisions for majors of high school students. Because the determination of this department is very influential with the future of students. So from that the author conducted this study to facilitate students in determining majors. So that these two methods can be compared and find the best results in making decisions about the majors of high school students.


2021 ◽  
Author(s):  
Winston G. Domingo ◽  
Erwin N. Lardizabal ◽  
Sheena Marie V. Toledo

The K to 12 Basic Education program uses standards and a competency-based grading system. These are found in the curriculum guides. All grades will be based on the weighted raw score of the learners’ summative assessments. Senior High School Students have been graded on three categories the written work, performance tasks, and quarterly assessments. Technology plays a substantial role in helping teachers in the progress, communication, application, and grading of assessment tasks. Thus, this study aims to produce a feasible computerized grading system that will address these issues and problems encountered by the teachers in recording and monitoring grades. The developed K12 Senior High School Students Academic Performance Monitoring System for Private Institutions with Decision Support System was compliant with ISO 25010 quality standards as assessed by SHS Principal, SHS Faculty/ Teachers, and IT Experts. The developed system followed the policy and guidelines set by the department of education in the grading system. The decision support system of the developed system helped the senior high school principal and teachers in monitoring the grades and performance of the students in every subject. Monitoring the performance of the students academically and non-academically, and classifying the students who have at risk in their academic performance.


Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Veny Cahya Hardita ◽  
I Wayan Pandu Swardiana ◽  
Kusrini Kusrini

INTISARIKompetisi siswa berprestasi merupakan ajang setiap tahun untuk para siswa menengah kejuruan dalam unjuk kemampuan mereka dalam bidangnya. Banyaknya siswa dari berbagai jurusan yang mengikuti seleksi lomba kompetensi, sehingga dalam proses seleksi pelaksanaan menjadi kurang optimal dalam segi proses penilaian dan penentuan keputusan akhir. Sehingga diputuskan untuk menggunakan sistem pendukung keputusan pemilihan calon peserta lomba siswa berprestasi yang dapat digunakan untuk membantu sekolah dalam menentukan siswa mana yang layak untuk mengikuti kompetisi tersebut. Metode yang digunakan yaitu Simple Additive Weighting. Metode ini merupakan metode penjumlahan berbobot. Metode ini membutuhkan proses normalisasi matriks keputusan (x) ke suatu skala yang dapat dibandingkan dengan semua rating alternatif yang ada. Hasil penelitian yaitu berupa perangkingan siswa mana yang cocok sebagai calon peserta lomba. Dalam penelitian ini, siswa yang terpilih yaitu Siswa ketiga dengan nilai akhir perhitungan yaitu 13,5. Sistem yang dibangun pada penelitian ni telah sesuai dengan perhitungan manual sehingga sistem ini dikatakan telah berhasil diterapkan.Kata kunci— kompetisi siswa, Simple Additive Weighting, Sistem Pendukung Keputusan. ABSTRACTOutstanding student competition is an event every year for middle students in demonstrating their abilities in their fields. The number of students from various departments participated in the competency selection process, so that in the implementation selection process it was less than optimal in terms of the assessment process and final decision making. So it was decided to use a decision support system for the selection of outstanding student candidates who could be used to assist schools in determining which students were eligible for the competition. The method used is Simple Additive Weighting. This method is a weighted addition method. This method requires the process of normalizing the decision matrix (x) to a scale that can be compared with all available alternative ratings. The results of the study are in the form of ranking which students are suitable as potential participants. In this study, the selected students were the third student with the final value of the calculation, 13.5. The system built on this research is in accordance with manual calculations so that the system is said to have been successfully implemented.Keywords— student contestants, Simple Additive Weighting, Decision Support System.


Author(s):  
Denny Utomo ◽  
Pratikto Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono Sugiono

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order. A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system


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