Profile Matching Untuk Sistem Pendukung Keputusan Pemilihan Vendor Maintenance  Server dan Jaringan

AbstrakMemilih pemasok yang tepat atau vendor diantara pemasok yang ada adalah isu penting bagi top manajemen. Proses penentuan vendor pada PT. Gema Graha Sarana dilakukan secara manual, yang diawali dengan pengumpulan informasi melalui presentasi dari setiap calon vendor. Setelah itu dilakukan rapat pimpinan untuk membahas tentang kelebihan dan kekurangan masing-masing vendor. Rapat pimpinan perusahaan menggunakan sistem votting sehingga cara tersebut dinilai masih kurang objektif dan tidak menutup kemungkinan penilaian dilakukan secara subjektif. Saat ini sudah berkembang pesat teknologi dalam segala bidang salah satunya teknologi dalam penentuan pengambilan keputusan, oleh karena itu untuk membantu dalam pemecahan masalah tersebut perlu dilakukan sebuah pendekatan dengan menggunakan sebuah metode sistem pendukung keputusan salah satu nya dengan menggunakan metode Profile Matching dengan tahapan yaitu menentukan kriteria, perhitungan pemetaan gap, melakukan pembobotan, perhitungan core factor dan secondary factor, perhitungan nilai total, dan perhitungan untuk menentukan perangkingan.Tujuan dari penelitian ini adalah menentukan vendor yang cocok agar mampu menyediakan layanan jasa maintenance server dan jaringan sesuai kebutuhan. Sehingga dari tahapan-tahapan tersebut diperoleh sebuah hasil keputusan untuk memilih vendor yang akan diajak kerja sama dalam melakukan pekerjaan maintenance server dan jaringan dengan memilih PT. Nusa Network Prakarsa. Kata Kunci: Pemilihan Vendor, Profile Matching, Sistem Pendukung Keputusan. AbstractSelecting the right supplier or vendor among existing suppliers is an important issue for top management. The process of determining vendor at PT. GemaGrahaSarana, Tbk is done manually, which begins with the collection of information through the presentation of each potential vendor. After that conducted a leadership meeting to discuss the advantages and disadvantages of each vendor. Company leadership meeting using the voting system so that way is considered still less objective and did not rule out the assessment is done subjectively. Nowadays, technology has been developed in all fields, one of them is technology in determining decision making, therefore to assist in solving the problem it is necessary to do an approach by using a method of decision support system of one of them by using method matching profile with stages that is Determining Criteria , Gap Mapping Calculation, Weighting, Calculation of Core Factor and Secondary Factor, Total Value Period, and Calculation for Determining Ranking. The purpose of this research is to determine the suitable vendors to be able to provide server and network maintenance services as needed. So from these stages obtained a decision to select a vendor who will be invited to work together in doing maintenance work server and network by choosing PT. Nusa Network Prakarsa. Keywords: Vendor Selection, Profile Matching, Decision Support System.

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Profile Matching Untuk Sistem Pendukung Keputusan Pemilihan Vendor Maintenance Server dan Jaringan

Jurnal Informatika ◽

10.31294/ji.v5i2.3638 ◽

2018 ◽

Vol 5 (2) ◽

pp. 262-269

Author(s):

Khoirun Nisa ◽

Entin Sutinah

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Advantages And Disadvantages ◽

Profile Matching ◽

Secondary Factor ◽

Network Maintenance ◽

Voting System ◽

Maintenance Work ◽

The Right

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Implementasi Metode Profile Matching Untuk Menentukan Penerima Beasiswa Bidikmisi

Creative Information Technology Journal ◽

10.24076/citec.2021v8i1.257 ◽

2021 ◽

Vol 8 (1) ◽

pp. 54

Author(s):

Elvis Pawan ◽

Wahyu Wijaya Widianto ◽

Patmawati Hasan

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Profile Matching ◽

Scholarship Recipients ◽

Secondary Factor ◽

Rank One ◽

The Right ◽

To Receive

Proses seleksi beasiswa bidikmisi secara manual, mulai dari pengajuan formulir sampai penetuan mahasiswa penerima beasiswa semua dikerjakan secara manual sehingga pada proses pemberian bantuan pendidikan kepada mahasiswa terkdang tidak objektif karena banyaknya minat mahasiswa dari tahun ke tahun yang mengajukan permohonan beasiswa bidikmisi, keterbatasan waktu yang dimiliki kerap menyulitkan tim dalam menentukan mahasiswa yang tepat untuk menerima beasiswa. Diperlukan sebuah SPK yang dapat mempermudah pekerjaan tim dan dapat membantu memperoleh penerima beasiswa secara objektif. Sistem pendukung keputusan yang diusulkan dengan menggunakan metode profile matching dengan mempertimbangkan beberapa kriteria seperti potensi akademik, ekonomi keluarga, jumlah tanggungan orang tua, kelengkapan berkas, dan transportasi ke kampus. Penelitian ini menghasilkan sebuah sistem pendukung keputusan dan berdasarkan data yang dimasukkan pada sistem jika nilai core factor (CF) sebesar 65% dan secondary factor sebesar 35%, maka dari data yang ada terdapat lima orang yang berhak memperoleh beasiswa menurut rangking satu sampai lima yaitu M03, M09, M06, M07, dan M08. Dari pengujian yang dilakukan sebanyak 84% responden menjawab positif terhadap hasil sistem pendukung keputusan karena dapat membantu mereka untuk menjalakan tugas dan tanggungjawab sebagai tim seleksi. Kata kunci— Profile_Matching; Beasiswa; SPK; BidikmisiThe manual selection process for Bidikmisi scholarships, starting from submitting forms to determining scholarship recipients, is all done manually so that the process of providing educational assistance to students is sometimes not objective because of the high interest of students who apply for Bidikmisi scholarships from year to year. makes it difficult for the team to determine the right student to receive the scholarship. A DSS is needed that can facilitate the team and can help objectively obtain scholarship recipients. The proposed decision support system uses the profile matching method by considering several criteria such as academic potential, family economy, number of dependents of parents, completeness of files, and transportation to campus. This research produces a decision support system and based on the data entered in the system if the core factor (CF) value is 65% and the secondary factor is 35%, then from the existing data, five people are entitled to receive scholarships according to rank one to five, namely M03, M09, M06, M07, and M08. From the tests carried out, 84% of respondents answered positively to the results of the decision support system because it can help them carry out their duties and responsibilities as a selection team.Keywords— Profile Matching; scholarships; DSS; Bidikmisi

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Decision Support System for increasing position of Office at PT. Gramedia Asri Media using Profile Matching Method

SinkrOn ◽

10.33395/sinkron.v5i2.10867 ◽

2021 ◽

Vol 5 (2) ◽

pp. 221-228

Author(s):

Kartika Mariskhana ◽

Ita Dewi Sintawati ◽

Widiarina Widiarina ◽

Rusdiansyah Rusdiansyah

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Career Planning ◽

Employee Performance ◽

Matching Process ◽

Profile Matching ◽

Secondary Factor ◽

Intellectual Capacity

The more rapid growth of information technology in the world, so that more and more people are taking advantage of this advancement in information technology in various activities of life or to solve various problems. One of them is filling positions that have not been filled for promotion processes often experience problems because the submission of prospective candidates who can occupy the position by matching employee profiles and job profiles is not resolved properly. To minimize these constraints, a decision support system is needed that can analyze employee performance in accordance with existing job profiles. The Profile Matching process is carried out to determine career planning recommendations by calculating sub-criteria from each aspect (work attitude and intellectual capacity) which consists of 4 stages including the calculation of the GAP value, the calculation of the core and secondary factor values and the calculation of the total value and ranking. The results of this study will produce a form in the form of employee recommendations with the highest score of 5.4163 on behalf of Ariz and Widi which has the same numerical value as the number from the calculation method used.

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Model Sistem Penunjang Keputusan Untuk Menentukan Jurusan Calon Siswa Baru Menggunakan Metode Profile Matching Pada SMK XYZ

JURNAL MEDIA INFORMATIKA BUDIDARMA ◽

10.30865/mib.v5i1.2274 ◽

2021 ◽

Vol 5 (1) ◽

pp. 108

Author(s):

Agus Umar Hamdani ◽

Savira Aprilya

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Computer Engineering ◽

New School ◽

Network Computer ◽

Profile Matching ◽

New Students ◽

The Right

SMK XYZ is a Vocational School based on technology and located in South Jakarta. This school has several majors, namely Software Engineering (RPL), Network Computer Engineering (TKJ) and Multimedia (MM). Every new school year, new students of new students who register increases. However, there are problems encountered in the process of selecting student majors, namely inaccurate decision making, there is no ranking, decision making has not used the method and is still using Microsoft Excel, so it requires quite a long time in determining student majors. The purpose of this study is to create a decision support system that is expected to help in determining the right majors for new students in SMK XYZ in accordance with the criteria set by SMK XYZ. This research resulted in a decision support system using the Profile Matching Method as a method for determining alternative final values. Reports produced by this system are value reports that contain the values calculated by students' grades. This decision support system was created using MySQL as a database and Microsoft Visual Studio 2008 as a system creation tool. With this support system, it can help the student in processing data and decision making in order to determine student majors.

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU PRODUKTIF PESERTA PELATIHAN ASESOR KOMPETENSI LSP P1 SMK SWASTA DWIWARNA MEDAN MENGGUNAKAN METODE THE EXTENDED PROMETHEE II (EXPROM II)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.922 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Dwika Assrani ◽

Mesran Mesran ◽

Ronda Deli Sianturi ◽

Yuhandri Yuhandri ◽

Akbar Iskandar

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Multicriteria Analysis ◽

Professional Certification ◽

Promethee Ii ◽

Certification Exams ◽

The Government ◽

Alternative Ranking ◽

The Right

Vocational schools that have been licensed from BNSP to LSP P1 (first party professional certification institute) are schools that have been able to carry out their own competency certification exams for their students and later a competency assessor who will test and declare the eligibility of the students, competency assessors are productive teachers who have participated in and been given training by the government, in that training the schools choose from the number of productive teachers from each department to become competency assessor trainees in accordance with predetermined criteria so a decision support system is needed so there is no gap in the selection of productive teacher assessor training participants, a vocational school that has become a P1 LSP must have a competency assessor and is a requirement to be a P1 LSP. one of the solutions to the problem is the right one by using the Decision Support System (SPK). Decision Support System (DSS) can help the school in making the decision to choose the productive teacher of the appropriate assessor training and improve the efficiency of the decision. The Extended Promethee II (EXPROM II) is a development of the Promethee II method based on the ideal and anti-ideal solution. Promethee II itself is a method of making decisions on the function of preferences with problems through an outranking approach (ranking) or is a multicriteria analysis, comparing one alternative to another and calculating the alternative gap in pairs so as to produce an output that is alternative ranking based on the highest value.Keywords: Competitive Assessor LSP P1, SPK, The Extended Promethee II

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PENENTUAN OPERATOR KARTU SELULER TERBAIK MENGGUNAKAN METODE AHP(ANALITYCAL HIERARCHY PROCESS)

JURNAL TEKNOLOGI INFORMASI ◽

10.36294/jurti.v1i1.44 ◽

2017 ◽

Vol 1 (1) ◽

pp. 61

Author(s):

Rizaldi Rizaldi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Lower Layer ◽

Middle Layer ◽

Ahp Method ◽

The Right ◽

Hierarchy Process

Abstract - The role of telecommunications technology is very important, especially in changing people's lives. The development of technology in the field of communication and information can now be enjoyed by various layers of society, starting from the upper layer, middle layer or lower layer even though the results are not satisfactory. The research entitled "Decision Support System Determination of the best cellular card operator using the AHP method" aims to provide convenience for consumers who want to buy cellular cards from various telecommunications operators according to their needs and save on bags. (economical). The number of cellular card operators provided by telecommunications makes it difficult for consumers to make the right choice, according to the desired criteria. Determining cellular cards with the AHP method is the right method to overcome the problem of determining the best cellular card with many criteria offered by each operator. These criteria include the purchase price of cellular cards, rates, promos and active periods. Keywords - Cellular card operator, Decision support system, Analitycal Hierarchy Process.

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Decision Support System for Selecting Doorprize Receipt Customers By Applying Promethee I Algorithm

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING ◽

10.31289/jite.v4i1.3963 ◽

2020 ◽

Vol 4 (1) ◽

pp. 254-259

Author(s):

Iin - Parlina ◽

Andi Priatno

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Islamic Bank ◽

System Method ◽

The Right ◽

Selection Of

Door prize is a prize given by Bank Mega Syariah for free through a lottery that has the category of a permanent customer. The permanent customer is a person who saves or saves his money in a mega Islamic bank and often deals regularly. This is what triggers Bank Mega Syariah to give awards to customers so that these customers will be more motivated to save at the Mega Syariah Bank. To determine the right decision in the selection of customers who deserve to get a door prize, then this research was conducted by applying the decision support system method with Promethee's Algorithm.Keywords: Decision Support System, Promethee I, and Doorprize.

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Sistem Pendukung Keputusan Pemilihan Tanaman Obat untuk berbagai Macam Penyakit Menggunakan Metoda FUZZY di Toko Miswar Flora (Studi Kasus : Penyakit Demam)

Jurnal Ilmiah FIFO ◽

10.22441/fifo.2019.v11i2.001 ◽

2019 ◽

Vol 11 (2) ◽

pp. 109

Author(s):

Dian Gustina ◽

Karno Diantoro

Keyword(s):

Decision Support ◽

Medicinal Plants ◽

Decision Support System ◽

Dengue Fever ◽

Support System ◽

Identification Problems ◽

Fuzzy Method ◽

The Right ◽

Existing Data ◽

Selection Of

Dengue Fever is a disease that often attacks the community. Sufferers of Dengue Fever are increasing every year. In this case natural treatments are still widely found drugs that can cure Dengue Fever and Typhoid Fever (tipes), to produce which medicinal plants are good, and examples according to Dengue Fever and Typhoid disease (typhus) still experience trouble. To overcome the selection of the right medicinal plants, a decision support system was created using Fuzzy Logic, Fuzzy Mamdani using Matlab system test aids. The method used in decision making is the fuzzy method. The method is because the fuzzy method can be used in making multi-criteria decisions and quite well in solving identification problems that require many criteria. On the results of testing existing data obtained data by comparison between data and processes in the matlab application, the valid level of application testing is 94.4%. Based on the results of the test carried out in this study, the Decision Support System is expected to help the community to determine the symptoms that arise so that it can be known about the fever between dengue fever and typhoid (typhus) so that the selection of medicinal plants is appropriate and can be used.

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Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)

Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) ◽

10.30645/jurasik.v3i0.64 ◽

2018 ◽

Vol 3 ◽

pp. 32

Author(s):

Mesran Mesran ◽

Selpi Anita ◽

Ronda Deli Sianturi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Human Resources ◽

Support System ◽

Decision Makers ◽

Electre Method ◽

The Right ◽

Assessment Result ◽

Selection Of

One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.

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Decision Support System for Indonesian Government Fast E-Tendering Based on Vendor Classification

EMITTER International Journal of Engineering Technology ◽

10.24003/emitter.v4i1.121 ◽

2016 ◽

Vol 4 (1) ◽

Author(s):

Edi Wahyu Widodo ◽

Tri Harsono ◽

Ali Ridho Barakbah

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Good Governance ◽

Current System ◽

Electronic System ◽

Electronic Procurement ◽

Advantages And Disadvantages ◽

The Government ◽

Procurement System

In the last few years in the world of auctions, electronic auctions become a hot topic for discussion, especially in Indonesia. In Indonesia, the auction has been using online electronic system since 2007 with all its advantages and disadvantages. This system is one of a fairly successful program in a good governance. Until now, there are 620 government agencies in Indonesia have been using this electronic procurement systems[19]. The Government can perform a budget efficiency nearly 5% of the total budget by using today's electronic procurement system. The current system is good enough, but there are still some deficiencies found. Some of solutions to cover the deficiency offered in this paper. Starting from the classification of goods or services according to the UNSPSC, applying business classification with ISIC Indonesia in 2009, recording the activity of vendors for consideration decision, and implementing a decision support system using AHP to facilitate the auction committee to determine the winner. All of above matters are intended to improve the effectiveness and efficiency of the current system.

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