Implementasi Metode Simple Additive Weighting Dalam Sistem Pendukung Keputusan Penerima Bantuan Program Sembako

Pahandut Seberang Village has an average middle to the lower level of economy in the community, so most of the people still need assistance from the government. In Pahandut Seberang Village, the selection of recipients of the Smbako program assistance is still the old way by using from paper. The assessment process is still not transparent in nature and the selection process is very slow and receipt of Sembako programs assistance are not being on target. Therefore, to overcome this problem, a Decision Support System (SPK) is created to help the Pahandut Seberang Village in selecting the recipients prospective of Sembako program assistance In designing and building the system are using 2 development methods, namely the Waterfall method as a software development method and the Simple Additive Weighting (SAW) method as a decision support system method in its calculations. Where the saw method has 4 stages, namely determining the criteria, determining the suitability, making a decision matrix based on the criteria and normalizing the. The final result is obtained from the ranking, namely the sum of the normalized matrix multiplication R with the weight vector so that the largest value sas a solution. This system testing uses a Black-box testing system. The test results show that the system created has been running according to the expectations of the researcher. This research produces a decision support system for selection of the recipients prospective that can provide recommendations for the recipients prospective the Pahandut Seberang village.

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Sistem Pendukung Keputusan Pemilihan Calon Peserta Lomba Siswa Berprestasi

Respati ◽

10.35842/jtir.v14i1.276 ◽

2019 ◽

Vol 14 (1) ◽

Author(s):

Veny Cahya Hardita ◽

I Wayan Pandu Swardiana ◽

Kusrini Kusrini

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Assessment Process ◽

Final Decision ◽

Addition Method ◽

Decision Matrix ◽

Simple Additive Weighting ◽

Selection Of

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.

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Sistem Pendukung Keputusan Kinerja Karyawan Tenaga Kependidikan Terbaik Dengan Metode Simple Additive Weighting (SAW) Dan Metode Kano Studi Kasus Universitas Mercu Buana

Jurnal Ilmiah FIFO ◽

10.22441/fifo.2020.v12i1.003 ◽

2020 ◽

Vol 12 (1) ◽

pp. 22

Author(s):

Namin Namin ◽

Jan Everhard

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Employee Performance ◽

Institutional Quality ◽

Assessment Process ◽

Simple Additive Weighting ◽

Selection Of

Abstract Selection of the best performance education staff employees in tertiary institutions whose results are beneficial for advancing academic and institutional quality improvement. The selection of employees performing the best performance at Mercu Buana University is conducted every academic year. In the assessment process still uses the Excel application so it is less effective and accurate. Based on this in this study built a decision support system that is used for the selection process for selecting the best employee performance. Processing these values requires a Decission Support System (DSS) application to help process these values and make ranking and weighting so that leaders are faster and easier in making the best employee performance selection decisions. Decision support system that is used by the Simple Additive Weighting (SAW) and Kano method. absolute optimal requirements for orientation of the process of developing academic and institutional quality activities. The Decission Support System (DSS) application is expected to be able to assist the Information Technology (IT) division in selecting the best employee performance education staff that truly meets the required criteria and solving problems in selecting the best employee performance.Keywords: The selection of the best educational staff employee performance using the SAW and Kano methods Abstrak Pemilihan karyawan tenaga kependidikan kinerja terbaik di perguruan tinggi yang hasilnya bermanfaat bagi kemajuan peningkatan kualitas akademik dan kelembagaan. Pemilihan karyawan tenaga kependidkan kinerja terbaik di Universitas Mercu Buana dilakukan setiap tahunn akademik. Dalam proses penilaian masih menggunakan aplikasi excel sehingga kurang efektif dan akurat. Berdasarkan hal tersebut pada penelitian ini dibangun sistem pendukung keputusan yang digunakan untuk proses seleksi pemilihan kinerja karyawan tenaga kependidikan terbaik. Pengolahan nilai-nilai tersebut diperlukan sebuah aplikasi Decission Support System (DSS) untuk membantu mengolah nilai tersebut dan melakukan perankingan dan bobot sehingga pimpinan lebih cepat dan mudah dalam pengambilan keputusan seleksi kinerja karyawan tenaga kependidikan terbaik. Sistem pendukung keputusan yang digunakan dengan metode Simple Additive Weighting (SAW) dan Kano., Metode SAW ini digunakan untuk menentukan nilai kriteria, yang kemudian dilakukan proses bobot dan perangkingan untuk menentukan alternatif terbaik dan metode Kano untuk menentukan nilai secara individu untuk kepuasan karyawan dan menciptakan syarat mutlak yang optimal untuk orientasi proses aktivitas pengembangan kualitas akademik dan kelembagaan. Aplikasi Decission Support System (DSS) diharapkan dapat membantu divisi Information Technology ( IT ) dalam memilih karyawan tenaga kependidikan kinerja karyawan terbaik yang benar-benar sesuai dengan kriteria yang dibutuhkan dan memecahkan masalah dalam seleksi kinerja karyawan terbaikKata kunci: Pemilihan kinerja karyawan tenaga kependidikan terbaik dengan metode SAW dan Kano

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DECISION SUPPORT SYSTEM FOR HELP RECIPIENTS HOPE FAMILY PROGRAM ON VILLAGE WARU WITH SAW METHOD

Jurnal Techno Nusa Mandiri ◽

10.33480/techno.v17i2.1678 ◽

2020 ◽

Vol 17 (2) ◽

pp. 151-156

Author(s):

Siti Nurlela ◽

Tuti Kurniawati ◽

Siti Masturoh ◽

Widiastuti Widiastuti ◽

Ade Suryadi

Keyword(s):

Decision Support ◽

Problem Solving ◽

Decision Support System ◽

Support System ◽

Assistance Program ◽

Family Program ◽

The Government ◽

Simple Additive Weighting ◽

Selection Of

Waru Village is one of the villages in the Bogor Regency area. However, the selection of recipients of the Hope Family Program (PKH) in Waru Village is still subjective/qualitative so that the process of receiving the Hope Family Program (PKH) in Waru Village is not accurate and has not been on target. This makes the need for a method that can manage data on recipients of the Hope Family Program (PKH) and produce a ranking from the calculation of weight for the selection of recipients of the Hope Family Program (PKH). In making decisions about recipients of the Hope Family Program (PKH), there is a Simple Additive Weighting (SAW) method that can be used in quantitative problem-solving. With the SAW method, each criterion is compared with one another to provide results of recipients of the Hope Family Program (PKH) and provide an assessment of each recipient (alternative) of the Hope Family Program (PKH) in Waru Village. This study aims to determine the recipients of the PKH assistance program so that it can produce a decision on recipients of PKH assistance that the government distributes to the Waru village accurately on target.

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Decision Support System for Electrical Power Selection to Household Users

10.31227/osf.io/gtf36 ◽

2017 ◽

Author(s):

Robbi Rahim ◽

Heri Nurdiyanto

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Electrical Power ◽

Electrical Energy ◽

Weighting Method ◽

The Government ◽

Simple Additive Weighting ◽

Home Users ◽

Selection Of

The need of home electricity every year is increasing rapidly with the increasing number of housing built either for middle to upper class or also middle to lower, for middle class down electricity usage is inversely with income per month so happened name of arrears electricity or even the theft of electric current to cover the requirement of electricity Households, and this is definitely illegal, household electrical power ranging from 450 - 1300 VA can use for home use with subsidies given by the government in 900 VA, the selection of power usage for home users can help by applying decision support system using Simple Additive Weighting method to determine the electrical energy of home users based on user criteria so those home users can ascertain the amount of power that used

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IMPLEMENTASI METODE VIKOR DALAM PEMILIHAN KEPALA SEKOLAH BERPRESTASI PADA DINAS PENDIDIKAN SUMATERA UTARA

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.963 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Sri Wulan ◽

Berto Nadeak ◽

Rivalri Kristianto Hondro ◽

Fince Tinus Waruwu

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Assessment Process ◽

Head Of School ◽

Global Era ◽

Professional Attitude ◽

The North ◽

North Sumatra

North Sumatra Office of education through the Directorate General of Teachers conducting the election of the head of the school is doing, with these activities the North sumatra Office of education hope school principals have success in education, so demanding to renew the social and professional attitude in managing education led. The election of the head of school is done to be able to improve quality and manage in school education so that it could be improved, so that it is able to answer the challenges of the global era-based excellence. The selection process should be free from the interests of religion, tribe or region. So that the final results of the election, do not cause harm to either party. But in pelaksanaanya there are some parties who feel aggrieved because of the lack of transparency of the assessment process and clear terms for the election of the head of school achievers. Resolve the problem then need to built a decision support system (SPK) which is able to provide the ability to solve problems with the condition of semi structured and unstructured. Use the perangkingan method, it is expected that it may facilitate in providing the principal election decision accomplished using VIKOR. The results obtained in this study is an alternative that has been dirangkingkan. Based on the results of the rank of produced output that is the names of the principal performer.Keywords: Head Of School Achievers, Decision Support System, VIKOR Method

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SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

Unes journal of Information System ◽

10.31933/ujis.1.1.088-098.2016 ◽

2016 ◽

Vol 1 (1) ◽

pp. 088

Author(s):

Wahyu Joni Kurniawan

Keyword(s):

Decision Support ◽

Decision Support System ◽

Analytic Hierarchy Process ◽

Support System ◽

Analytic Hierarchy ◽

Assistant Coach ◽

Simple Additive Weighting ◽

Hierarchy Process ◽

Selection Of ◽

Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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Sistem Pendukung Keputusan Pemilihan Perumahan Dengan Menggunakan Metode Multi Attribute Utility Theory

Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika ◽

10.47324/ilkominfo.v4i2.129 ◽

2021 ◽

Vol 4 (2) ◽

Author(s):

Muhammad L O Mardin ◽

Achamad Fuad ◽

Hairil K Sirajuddin

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Utility Theory ◽

Selection Process ◽

Housing Prices ◽

Multi Attribute Utility Theory ◽

Selection Decision ◽

The City ◽

Selection Of

Abstrak: Banyaknya pilihan rumah seringkali membuat calon pembeli merasa ragu atau kesulitan saat harus menentukan langsung rumah yang mana yang akan dibeli, karena pada pemilihan perumahan yang akan dibeli belum ada sistem yang akan membantu dalam memilih perumahan yang dibeli, sehingga pada proses pemilihan masih menggunakan pikiran saja dan belum ada perhitungan pada saat pemilihan perumahan yang akan di beli. Tujuan penelitian ini menghasilkan sebuah sistem pendukung keputusan pemilihan perumahan. Kriteria yang diajukan dalam proses pemilihan perumahan yaitu: Harga perumahan, Jarak dari pusat kota, Jarak dengan pasar terdekat, [1], tipe perumahan, jarak dengan jalan umum, jarak dengan lahar. Dari hasil pemilihan perumahan menggunakan sistem yang telah dibuat. dengan 10 alternatif, dengan tingkat kepentingan masing-masing kriteria yang digunakan yaitu: harga = 5, tipe rumah = 5, jarak dengan pusat kota = 2, jarak dengan pasar terdekat = 2, jarak dengan jalan umum = 4, jarak perumahan dengan lahar = 5, telah diperoleh alternatif yang akan direkomendasikan yaitu perumahan safira residen 70 dengan dengan nilai tertinggi 0,65.Kata kunci: Sistem Pendukung Keputusan, Pemilihan, Perumahan, Multi Attribute Utility TheoryAbstract: A large number of choices of houses often makes prospective buyers feel doubtful or difficult when they have to determine directly which house to buy because, in the selection of housing to be purchased, no system will assist in choosing the housing to be purchased so that in the selection process, you still use your mind. There is no calculation at the time of the selection of housing to be purchased. The purpose of this research is to produce a housing selection decision support system. The criteria proposed in the housing selection process are housing prices, distance from the city, distance to the nearest market, [1], type of housing, distance to public roads, distance to lava. From the results of the election using the system that has been created. With ten alternatives, with their respective interests. The criteria used are: price =5, type of house = 5, distance to city center = 2, distance to the nearest market = 2, distance to public roads = 4 distance from housing to lava = 5, has obtained an alternative that will be recommended, namely the residential sapphire housing 70 with the highest value of 0.65Keywords: Housing, Selection, Decision Support System, Multi-Attribute Utility Theory.

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Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

JURNAL SISTEM INFORMASI BISNIS ◽

10.21456/vol8iss1pp34-41 ◽

2018 ◽

Vol 8 (1) ◽

pp. 34

Author(s):

Razqa Lathif Pradana ◽

Dwi Purwanti ◽

Arif Arfriandi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Automatic System ◽

National Level ◽

Black Box ◽

Black Box Testing ◽

Simple Additive Weighting ◽

Selection Of

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

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Metode Simple Additive Weighting (SAW) Dalam Pemilihan Sim Card Provider

Journal of Students‘ Research in Computer Science ◽

10.31599/jsrcs.v1i2.382 ◽

2020 ◽

Vol 1 (2) ◽

pp. 97-108

Author(s):

Andy Widya Putera ◽

Anna Mukhayaroh ◽

Samudi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

The Internet ◽

Community Activities ◽

Internet Connection ◽

Sim Card ◽

Using Data ◽

Simple Additive Weighting ◽

Selection Of

With the development of technology at this time Sim Card Provider is needed to support community activities. In Indonesia alone many Sim Card Provider many services and also ease of accessing the internet, sonsumers are required to see which Sim Card Provider suits their needs. To overcome the problem of selecting the Sim Card Provider, a Decision Support System will be made using the Simple Additive Weighting (SAW) method using data taken from questionnaires distributed to Sim Card Provider users, which is expected to help in the selection of the appropriate Sim Card Provider with Consumer needs. The author uses six criteria, namely Signal, Price, Internet Package, Internet Connection, Phone Bonus, SMS Bonus. By using five alternatives namely Simpati, XL, Indosat, Smartfren, Three (3). The final result of this study indicated that alternative 5 or Three (3) has the biggest result of 3,245 and alternative 3 namely Indosat has the lowest result among the alternatives which is 2,625. Keywords: Criteria, Sim Card Provider, Simple Additive Weighting Abstrak Dengan berkembangnya teknologi pada saatini Sim Card Provider sangat dibutuhkan untuk menunjang aktivitas masyarakat. Di Indonesia sendiri banyak Sim Card Provider banyak menyediakan layanan dan juga kemudahan dalam mengakses internet, konsumen dituntut untuk melihat manakah Sim Card Provider yang sesuai dengan kebutuhan. Untuk mengatasi masalah pemilihan Sim Card Provider tersebut maka akan dibuat Sistem Pendukung Keputusan dengan menggunakan Metode Simple Additive Weighting (SAW) dengan menggunakan data yang diambil dari kuesioner yang dibagikan kepada para pengguna Sim Card Provider, yang diharapkan dapat membantu dalam pemilihan Sim Card Provider yang sesuai dengan kebutuhan Konsumen. Penulis menggunakan enam kriteria yaitu Sinyal, Harga, Paket Internet, Koneksi Internet, Bonus Telpon, Bonus Sms. Dengan menggunakan lima alternatif yaitu Simpati, XL, Indosat, Smartfren, Three (3). Hasil akhir dari penelitian ini menunjukan bahwa alternatif 5 atau Three (3) memiliki hasil terbesar yaitu 3,245 dan alternatif 3 yaitu Indosat memiliki hasil terendah diantara alternatif yang ada yaitu 2,625. Kata kunci: Kriteria, Sim Card Provider, Simple Additive Weighting

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THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME

Simetris Jurnal Teknik Mesin Elektro dan Ilmu Komputer ◽

10.24176/simet.v10i1.3023 ◽

2019 ◽

Vol 10 (1) ◽

pp. 309-318

Author(s):

Dwi Krisbiantoro ◽

Wiga Maulana Baihaqi

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Selection Process ◽

Rehabilitation Program ◽

Weighting Method ◽

The Family ◽

Selection Decision ◽

Simple Additive Weighting ◽

To Receive

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

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