scholarly journals Penilaian Kinerja Satuan Tugas Terbaik Menggunakan Metode MFEP Pada Kantor BPBD Kota Tanjungbalai

2021 ◽  
Vol 2 (1) ◽  
pp. 127-134
Author(s):  
Zainuddin Zainuddin ◽  
Nofriadi Nofriadi ◽  
Nasrun Marpaung
Keyword(s):  
Decision Support ◽  
Performance Assessment ◽  
Work Environment ◽  
Disaster Management ◽  
Task Force ◽  
System Development ◽  
Evaluation Process ◽  
Development Method ◽  
Factor Evaluation ◽  
Unit Performance

Abstract:Duty unit office Regional Disaster Management AgencyTanjungbalai Cityhave a big taskincludes looking for, helping, and save human worried lost or face danger in natural disasters. In carrying out this great task There are also duty unit  less active,  professional, and lack of sense of responsibility in work So that it affects other co-workers. This is due to the placement of the task force not in accordance with the skills he has. Therefore, the purpose of this researchis to assist the Technical Implementation Officer of Activities in determine performance duty unit appraisal best. System development method using Multi Factor Evaluation Process (MFEP). The resulting Decision Support Systemcan make it easier Activity Technical Implementing Officer in do an assessmentduty unit performance at work environment office Regional Disaster Management AgencyTanjungbalai City. Keywords:SPK;Performance assessment;PPTK; MFEP  Abstrak:Satuan Tugas (SATGAS) Kantor Badan Penanggulangan Bencana Daerah Kota Tanjungbalai mempunyai tugas besar meliputi mencari, menolong, dan menyelamatkan jiwa manusia yang dikhawatirkan hilang atau menghadapi bahaya dalam musibah bencana alam. Dalam menjalankan tugas besar tersebut ada juga Satuan Tugas (SATGAS) yang kurang aktif,  propesional, dan kurang rasa tanggungjawab dalam bekerja, sehingga mempengaruhi rekan kerja lainnya dalam melaksanakan tugasnya. Hal ini di sebabkan penempatan satgas tidak sesuai dengan skill yang dimilikinya. Oleh karana itu tujuan dari penelitian ini adalah untuk membantu Pejabat Pelaksana Teknis Kegiatan (PPTK) dalam menantukan penilaian kinerja Satuan Tugas (SATGAS) terbaik. Metode pengembangan sistem menggunakan Multi Factor Evaluation Process (MFEP). Sistem Pendukung Keputusan yang dihasilkan dapat mempermudah Pejabat Pelaksana Teknis Kegiatan (PPTK) dalam melakukan penilaian kinerja satagas di lingkungan kerja Kantor Badan Penanggulangan Bencana Daerah Kota Tanjungbalai Kata kunci: SPK;Penilaian Kinerja;PPTK; MFEP 

scholarly journals Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication

2020 ◽  
Vol 4 (2) ◽  
pp. 103-111
Author(s):  
Rahmat Hidayat ◽  
◽  
Ade Irmayanti ◽  
Muhammad Tommy ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Evaluation Process ◽  
Disposal Site ◽  
Prototype Model ◽  
Initial Weight ◽  
Final Disposal ◽  
Factor Evaluation

Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.

scholarly journals Fuzzy based Decision Support Model for Deciding the Students’ Academic Performance

2021 ◽  
Vol 11 (10) ◽  
pp. 118-130
Author(s):  
Ditdit Nugeraha Utama ◽  
◽  
Deddy Kurniawan
Keyword(s):  
Academic Performance ◽  
Decision Support ◽  
Performance Assessment ◽  
Student Performance ◽  
Personal Data ◽  
Evaluation Process ◽  
Real Data ◽  
Decision Support Model ◽  
Grade Point ◽  
Support Model

— In the education domain, especially in higher education, a standard of performance assessment is determined by the grade point average (GPA). In its use in the evaluation process, GPA assessment standards have some shortcomings, such as focusing only on the improvement of the GPA value regardless of other factors that can affect an evaluation result, so that the GPA standard cannot be used as one and only one basic reference in determining the results of performance evaluation ideally. The study is a completed version of the previous one. The purpose of this study is to construct a decision support model (DSM) that can conduct performance assessment by considering various parameters that are considered to affect the academic performance results of students. The model was constructed by using three methods: fuzzy logic of Sugeno, conventional, and mathematical. This study uses quantitative data analysis because the data used is real data in the form of personal data and academic value data of students in the field. The predetermined methods were implemented in this study to calculate the academic performance value of students by considering various other parameters outside the GPA parameters. So that the assessment results will be more ideal and can strengthen the standard of GPA assessment in conducting the process of evaluating student performance. Also, finally, the verification and validation values of the model are represented.

Disaster Management Control: Decision Support through Performance Assessment

2011 ◽  
Vol 44 (1) ◽  
pp. 10758-10763 ◽  
Author(s):  
François Galasso ◽  
Carine Rongier ◽  
Matthieu Lauras ◽  
Didier Gourc
Keyword(s):  
Decision Support ◽  
Performance Assessment ◽  
Disaster Management ◽  
Management Control ◽  
Control Decision

scholarly journals Decision Support System using Multi-Factor Evaluation Process Algorithm

2021 ◽  
Vol 1933 (1) ◽  
pp. 012016
Author(s):  
Bertha Jean Que ◽  
Sulistyo Andarmoyo ◽  
Eka Hendrayani ◽  
Romindo ◽  
Dahlan Abdullah ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Factor Evaluation

scholarly journals Sistem Pendukung Keputusan Pemberian Penghargaan Berdasarkan Prestasi Berbasis Web Dengan Metode Promethee

INOVA-TIF ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Handaru Senopati
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Collection ◽  
Support System ◽  
Interface Design ◽  
Research Method ◽  
System Development ◽  
Development Method ◽  
Or Groups ◽  
To Receive

<pre><em><span lang="EN">Award is an achievement given to individuals or groups. Awarding is useful to increase students' enthusiasm so they can continue to develop themselves and their achievements. The awarding so far is still conventional, starting from data collection to determining results. This study aims to assist in decision-making decisions. The research method used is the waterfall system development method which consists of analysis, interface design, implementation and testing. The results of the above research are in the form of a decision support system which can later become a reference for selecting candidates who are entitled to receive awards.</span></em><em></em></pre>

scholarly journals PERBANDINGAN METODE SAW DAN MFEP SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN ATLET PENCAK SILAT

2020 ◽  
Vol 12 (1) ◽  
pp. 8
Author(s):  
Siti Qomariah ◽  
Andi Yusika Rangan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Factor Evaluation ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Pencaksilat salah satu bentuk identitas seni beladiri nusantara kebudayaan Indonesia berisitentang pendidikan yang berkembang dalam masyarakat. Dalam dunia modern, silatbukan  hanya  sebagai  alat  seni  bela  diri  tetapi berkembang  menjadi  sebuah  upayadalam  memelihara  kesehatan  melalui  olahraga.  Decision support system (DSS) adalah sistem yang dibangun untuk membantu dalam pengabilan keputusan. DSS dapat dibangun dengan mengunakan beberapa metode seperti AHP (Analitycal Hierarchy Process ) SAW (Simple Additive Weighting), MFEP (Multi Factor Evaluation Process),Weighted Product dan lain-lain. Silat salah satu bentuk identitas seni beladiri nusantara kebudayaan Indonesia berisi tentang pendidikan yang berkembang dalam masyarakat.Penelitian ini bertujuan membandingkan hasil dari implementasi metode SAW dengan MFEP.

SISTEM PENDUKUNG KEPUTUSAN DALAM MEREKOMENDASIKAN TEMPAT LES MUSIK DIPEMATANGSIANTAR MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Theresia Siburian ◽  
Rafiqa Dewi ◽  
Widodo Widodo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Music Education ◽  
Support System ◽  
Evaluation Process ◽  
Music Lesson ◽  
Music Lessons ◽  
Factor Evaluation ◽  
The Right

Keroncong, Pop, Dangdut, and Hip Pop. Music is basically to entertain and express themselves from feelings of sadness or happiness. Along with the increasing popularity of music, a lot of music lessons were made especially in Pematangsiantar. This makes consumers confused and needs information to decide which music lessons are suitable for their needs. So the author uses a Decision Support System with the Multi-Factor Evaluation Process (MFEP) method to facilitate decision making. MFEP is a method with emphasis on various factors and criteria that perform the calculation of weighting system where the calculation will be valuable for each factor that affects the decision making of data data to be processed. The MFEP method is also called a scaled score that requires a comparative norm to be interpreted qualitatively and this makes the advantages of the MFEP method. The previous criteria were Criteria Place C1 (C1), Music Facilities Criteria (C2), Price Criteria (C3), Criteria Schedule / time guidance (C4), Employee Service Criteria (C5). By using 4 Alternative Place of Music Les existed memematangsiantar include: Legato Art Center, Era Music Siantar, Grace Music Studio, C and C Music Education. Results of recommendation of Decision Support System in Recommending Place Les Music dipematangsiantar using method MFEP (Multifactor Evaluation Process). Which we write with first rank that is Legato Art Center .  It is expected that this research can help the consumer to get the right recommendation in choosing the place of music lesson in accordance with the cost of music lesson and music quality.Keywords: Decision Support System, Multi-Factor Evaluation Process, ranking, Music

scholarly journals Penerapan Multi Factor Evaluation Process Dalam Penerimaan Asisten Dosen Pada STMIK Triguna Dharma

2019 ◽  
Vol 3 (3) ◽  
pp. 183
Author(s):  
Puji Sari Ramadhan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Calculation Method ◽  
Scoring System ◽  
Evaluation Process ◽  
Factor Evaluation ◽  
Process Method

In helping the role of a lecturer in carrying out learning as well as an effort in improving the quality of learning it is necessary to appoint a Lecturer Assistant who is also in charge of replacing the role of the lecturer who is unable to attend. In the acceptance process of the Lecturer Assistant, it is necessary to use objective and accurate criteria and assessment using the calculation method to have a universal concept in the science of Decision Support Systems. For this reason, it is necessary to build a scoring system that can later produce decisions in selecting prospective Lecturer Assistants. Based on these views, the acceptance of the Lecturer Assistant will use one method in the Decision Support System that can produce a decision based on the ranking or ranking of each alternative, namely the Multi-Factor Evaluation Process method. With the application of this method that will be applied in an application, the system can help the institution in determining the feasibility of the acceptance process of the Lecturer Assistant so that later the Lecturer Assistant will be chosen based on the ranking of values that have been generated through the Multi-Factor Evaluation Process.

scholarly journals Option for evaluation of development of decision support system requirements

Connectivity ◽  
2021 ◽  
Vol 149 (1) ◽  
Author(s):  
I. M. Gamanyuk ◽  
◽  
O. V. Nehodenko ◽  
K. P. Storchak ◽  
О. S. Dzyadovych
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Development ◽  
Evaluation Process ◽  
Type I ◽  
System Requirements ◽  
The Creation ◽  
Address System

The quality of the decision support system (DSS) is influenced by the process of creating this system. An important part of the DSS creation process is occupied by events that discuss issues related to the definition of system requirements. Both representatives of the customer and representatives of the executor take part in these actions. The difference between the participants creates uncertainty. It is important to understand the weaknesses in measures to address system requirements in the early iterations of system development. This will allow appropriate measures to be taken to improve the quality of measures to address system requirements. This paper proposes the use of Bayesian methods to evaluate the development of requirements for the creation of a decision support system. A model is proposed in which the participants of the events evaluate the measures in terms of addressing all issues and uncertainties. After the implementation of the requirements discussed at the events, the results of testing are evaluated for these activities. The analysis of the assessments provided by the participants of the activities and evaluations, based on the test results, provides an opportunity to draw appropriate conclusions and take appropriate measures. During the evaluation process, type I errors occur — the activities were evaluated by the participants on «3», which meant that not all issues were resolved and problems exist, and as a result no errors were made in implementing the precedents worked on at these events. Type II error — the measures were evaluated by the participants on «5», which meant that all issues were resolved and there were no unresolved issues, and as a result errors were obtained in the implementation of precedents, which were worked out at these events. The article processes the initial data. The historical representation is determined: P(T|D) = P(D,T)/P(D). The posterior representation is determined: P(D|T) = P(D,T)/P(T). Using this mathematical model, we can assess the quality of processing the requirements for the creation of DSS. In the case of obtaining low values of P(D1|T1), P(D2|T2), P(D3|T3) it can be concluded that the measures to process the requirements are not carried out at the appropriate level and may need to be carried out differently. In the case of obtaining low values of P(D3|T1), P(D1|T3) it can be concluded that the measures to process the requirements are carried out at the appropriate level and the probability of errors of I and II kind is quite low. Based on the results of the work on the creation of the first and second stages of DSS, it is possible to draw conclusions and make organizational decisions, and as a result, other stages of the creation of DSS will be better than the first and second stages. More and more activities are moving to the electronic form, the implementation of the function of estimating the processing of the requirement is becoming easier, so research in this area has prospects.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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