KOMBINASI METODE AHP DAN MFEP DALAM UPAYA MENINGKATKAN  KUALITAS PENERIMA BANTUAN SISWA MISKIN

Abstract: The Poor Student Assistance Program is a government program aimed at removing barriers to poor students from participating in school to support the Nine-Year Compulsory Basic Education Program. According to TNP2K, the target of BSM recipients is based on the criteria of students' economic conditions and not on the achievements of students. The problem so far is not a few are found that BSM recipients are those who are classified as capable so that this program is not well-targeted. The purpose of applying the combination of 2 AHP and MFEP methods is to apply Decision Support System (SPK) technology in determining students who receive poor student assistance at Tamansiswa Sukadamai SMPS so that it helps decision-makers to get objective decisions. The combination is based on the superiority of each method in analyzing each criterion and alternatives related to the selection of BSM recipients. AHP is used to analyze criteria to produce criteria that have a good consistency. Then an alternative ranking process is carried out using the MFEP method. Based on the results of the analysis of the combination of the AHP and MFEP methods that have been carried out that the AHP method can help schools in determining the main factors that are very priority in receiving poor student assistance, while the MFEP method can determine the best alternative for eligible students as recipients of poor student assistance in the form of ranking the highest value is A9 with 1,097. Keywords: AHP Method; MFEP Method; Poor Student Assistance; SPK. Abstrak: Program Bantuan Siswa Miskin (BSM) merupakan program pemerintah yang ditujukan untuk menghilangkan halangan siswa miskin berpartisipasi untuk bersekolah mendukung program Wajib Belajar Pendidikan Dasar Sembilan Tahun. Menurut TNP2K adapun yang menjadi sasaran penerima BSM yaitu berdasarkan kriteria kondisi ekonomi siswa dan bukan berdasarkan prestasi siswa. Permasalahan selama ini justru tidak sedikit dijumpai bahwa penerima BSM merupakan mereka yang tergolong mampu, sehingga program ini menjadi kurang tepat sasaran. Adapun tujuan dari penerapan kombinasi 2 metode AHP dan MFEP ini adalah untuk menerapkan teknologi Sistem Pendukung Keputusan (SPK) dalam penentuan siswa penerima bantuan siswa miskin di SMPS Tamansiswa Sukadamai sehingga membantu pengambil keputusan untuk mendapatkan keputusan yang objektif. Kombinasi dilakukan berdasarkan keunggulan dari masing-masing metode dalam menganalisis setiap kriteria dan alternative terkait pemilihan penerima BSM. AHP digunakan untuk menganilis kriteria sehingga menghasilkan kriteria yang memiliki konsistensi yang baik. Selajutnya dilakukan proses perangkingan alternatif menggunakan metode MFEP. Berdasarkan hasil analisis dari kombinasi metode AHP dan MFEP yang telah dilakukan bahwa metode AHP dapat membantu sekolah dalam menentukan faktor utama yang sangat prioritas dalam penerima bantuan siswa miskin, sedangkan metode MFEP dapat menentukan alternatif terbaik siswa yang layak sebagai penerima bantuan siswa miskin dalam bentuk perangkingan dengan nilai tertinggi yaitu A9 dengan 1,097.Kata Kunci : Bantuan Siswa Miskin; Metode AHP; Metode MFEP; SPK.

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Pemberdayaan Masyarakat Pesantren Ar-Rahmah, Rejang Lebong dalam Memanfaatkan Lahan Pekarangan dengan Budi Daya Bawang Merah

Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat ◽

10.29244/agrokreatif.6.1.53-61 ◽

2020 ◽

Vol 6 (1) ◽

pp. 53-61

Author(s):

Marlin Marlin ◽

Antoni Sitorus ◽

Muhamad Solihin ◽

Atra Romeida ◽

Reny Herawati

Keyword(s):

Participation Rate ◽

Boarding School ◽

Community Empowerment ◽

Seed Selection ◽

Assistance Program ◽

Land Preparation ◽

Poor Students ◽

Self Sufficiency ◽

Selection Of ◽

Empowerment Program

The community empowerment in the area of Ar-Rahmah pesantren, Air Meles Atas Village, Rejang Lebong Regency, Bengkulu was intended to increase the income of pesantren to finance poor students, and at the same time to enhance the ability of pesantren in carrying out educational and teaching activities. Community service activities carried out in the form of assistance activities in shallot cultivation in the yard of the Ar-Rahmah Pesantren. The assistance program is carried out for 4 months, with such stage of activities as: the preparation stage for managers, teachers, students and farmers around the pesantren, seed selection, land preparation, planting, maintenance, harvesting, and post-harvest. The evaluation result showed that the community participation and involvement in the shallot cultivation assisting program were considered high. The highest participation rates were during the selection of seed activity (73%) and planting activity (100%). Meanwhile, the lowest participation rate was during maintenance activities (27%). The evaluation results showed the level of participants’ satisfaction is high (90‒100%) on the implementation of assistance activities. The harvested shallots could increase the income of the boarding school which can be used to help the education cost and education progress of the boarding school. The participation of the entire community would be encouraged so that the success of empowerment program could be felt by the entire community. The community empowerment program need to be carried out continuously, so it would enhance the welfare of and self-sufficiency of the community.

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Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC

JURNAL MEDIA INFORMATIKA BUDIDARMA ◽

10.30865/mib.v3i4.1511 ◽

2019 ◽

Vol 3 (4) ◽

pp. 376

Author(s):

Andri Yunaldi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Rank Order ◽

Decision Makers ◽

Poor Students ◽

Selection Decision ◽

Student Assistance ◽

Simple Additive Weighting

Decision support system (DSS) is a system that helps decision makers in this case the principal, so that the decisions produced are considered effective and appropriate to solve the problems faced. Specifically in determining the provision of assistance to poor students, the determination of the criteria is aimed at making the recipient of the assistance in accordance with the purpose of the assistance itself. In this study, the authors applied a combination of SAW and ROC methods in selecting beneficiaries. ROC (Rank Order Centroid) is a method that can produce weight values, while Simple Additive Weighting (SAW) is a method used to rank poor prospective student assistance recipients as an alternative. The results of the study are expected to contribute to the development of science, especially the principal in the selection decision for recipients of poor student assistance

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Penentuan Karyawan Terbaik Home Industry Ramayana Menggunakan Metode Analytical Hierarchy Process (AHP)

Journal of Innovation Information Technology and Application (JINITA) ◽

10.35970/jinita.v1i01.83 ◽

2019 ◽

Vol 1 (01) ◽

pp. 35-41

Author(s):

Rina Nuryana Fajriya ◽

Azhar Firdaus ◽

Ahmad Faisal

Keyword(s):

Decision Making ◽

Analytical Hierarchy Process ◽

Business Owners ◽

Decision Makers ◽

Business Owner ◽

Ahp Method ◽

Permanent Employees ◽

Hierarchy Process ◽

A Company ◽

Selection Of

Employees in the company are the main resources required to be able to provide the best service and optimal performance. The selection of the best employees in a company is very important because it will determine the company's progress in the future. A home industry in East Kotawaringin Regency has 3 permanent employees. This Ramayana cracker business owner wants to know the best performance of his 3 employees, one of the effective ways in selecting employees is by implementing a decision support system and by using the Analytical Hierarchy Process (AHP) method, we make this research to help business owners to their problem is solved. This study aims to complete practical decision making and have alternative choices for decision-makers, in order to choose the best employees in their home industry. The results of this study are aimed at home industry business owners in order to find out the best employees in this Ramayana home industry business.

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SELECTION OF THE BEST PREWEDDING PHOTO LOCATION USING THE AHP METHOD

Jurnal Riset Informatika ◽

10.34288/jri.v3i4.254 ◽

2021 ◽

Vol 3 (4) ◽

pp. 343-352

Author(s):

Muhammad Noval Alfarizi ◽

Mariah Nur Azizah ◽

Wikara Dwi Saputra ◽

Siti Ernawati

Keyword(s):

Analytical Hierarchy Process ◽

General Public ◽

Decision Makers ◽

Time Cost ◽

Ahp Method ◽

Transportation Time ◽

A Value ◽

Old City ◽

Hierarchy Process ◽

Selection Of

The location of the photo prewedding is a place that can describe the happiness of the bride and groom. In these conditions sometimes the general public especially prospective bride and groom and the photographer have difficulty in choosing the location of the photo prewedding best. Then the resulting decision-makers will get the location of the photo prewedding which is not in accordance with what is expected. In this study utilizes the Method of Analytical Hierarchy Process (AHP) to help the bride and groom and the photographer in choosing the location of the photo prewedding best, especially in the area of Jakarta. This study using six criteria such as distance, number of spots, transportation, time, cost, location, and theme. From the Results of the analysis and processing of the data obtained that the Ancol with superior value 0,224047721 (22%) berbandingan to cafe batavia with a value of 0,195494507 (20%), sunda kelapa harbor to the value 0,187335550 (19%), taman wisata mangrove angke kapuk with a value of 0,171584976 (17%), old city, with the value of 0,162696386 (16%), and glodok, with a value of 0,058840858 (6%).

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Selection of Coffee Shop Business Locations Using the Analytical Hierarchy Process Method

JURNAL TEKNOLOGI DAN OPEN SOURCE ◽

10.36378/jtos.v4i2.1771 ◽

2021 ◽

Vol 4 (2) ◽

pp. 133-140

Author(s):

Ahmad Fauzi ◽

Novita Indriyani ◽

Andika Bayu Hasta Yanto

Keyword(s):

Survey Data ◽

Analytical Hierarchy Process ◽

Decision Makers ◽

Ahp Method ◽

Coffee Shop ◽

Global Weight ◽

Water Accessibility ◽

Internet Connections ◽

Hierarchy Process ◽

Selection Of

The Coffee Shop business is one of the trending businesses in Indonesia, so competition in this business field can be said to be increasing rapidly. In order to get a strategic business location, the majority of decision makers are wrong in choosing the location of their business, this is due to the lack of analysis and to the data from the location survey and the lack of decision-making limitations in analyzing the survey data. For this reason, it is necessary to create a system, where this system uses the Analytical Hierarchy Process (AHP) method to assist in processing survey data. The application of the Analytical Hierarchy Process (AHP) method in determining the location of the Coffee Shop business is determined using 7 (criteria) criteria including rental prices, buildings, clean water, accessibility, distance to offices, internet connections and electricity sources. The final result of the process using the AHP method is ranking of several alternative locations that have been set, and several alternative locations get the highest global weight, it becomes recommendations for the development of this coffee shop business

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DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

Jurnal Rekayasa Lingkungan ◽

10.29122/jrl.v9i1.1986 ◽

2017 ◽

Vol 9 (1) ◽

Author(s):

Imam Setiadi ◽

Dinda Rita K. Hartaja

Keyword(s):

Analytic Hierarchy Process ◽

Energy Demand ◽

Pairwise Comparison ◽

Small Islands ◽

Ahp Method ◽

Analytic Hierarchy ◽

Comparison Research ◽

Hierarchy Process ◽

Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.921 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Fajar Syahputra ◽

Mesran Mesran ◽

Ikhwan Lubis ◽

Agus Perdana Windarto

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Formal Education ◽

Basic Education ◽

Selection Index ◽

Main Task ◽

Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

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A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

Journal of Supply Chain Management Systems ◽

10.21863/jscms/2015.4.1and2.002 ◽

2015 ◽

Vol 4 (1and2) ◽

Author(s):

Rajeev Dhingra ◽

Preetvanti Singh

Keyword(s):

Decision Making ◽

Process Approach ◽

Decision Makers ◽

Analytic Hierarchy ◽

Conflicting Objectives ◽

Realistic View ◽

Hierarchy Process ◽

Pair Wise Comparison ◽

Supplier Selection Problem ◽

Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

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