scholarly journals Analisis Dan Implementasi Sistem Pendukung Keputusan Dengan Metode Topsis Mengidentifikasi Kecamatan Terbaik Di Kota Tanjungbalai

2021 ◽  
Vol 1 (2) ◽  
pp. 115-122
Author(s):  
M Rizky Pratama ◽  
Rolly Yesputra ◽  
Sudarmin Sudarmin

Abstract: The Tanjungbalai City Government annually conducts an assessment of the best sub-district using existing indicators. So far, the assessment has only used Microsoft Excel calculations so that the time used to carry out the assessment process seems long and slow. To overcome these problems, a solution method with accuracy and speed in making the best district assessment decisions is needed. The Decision Support System was made using the Laravel framework and the MariaDB database and the method used was TOPSIS. The results of the best sub-district assessment using a Decision Support System with the TOPSIS method are needed to assist the assessment team in carrying out a faster assessment process so that the results obtained are much better. Analysis and implementation of a decision support system using the TOPSIS method to classify the best sub-districts in Tanjungbalai City facilitates the decision-making process to be faster and better for the Tanjungbalai City Regional Secretariat, especially in the Government section in choosing the best District based on existing criteria. The results of processing the system are 100% the same as the results of manual processing. Therefore this system is very helpful in speeding up work.Keyword: Decision support system; TOPSIS; Best District Assessment.  Abstrak: Pemerintah Kota Tanjungbalai setiap tahunnya mengadakan penilaian Kecamatan terbaik dengan menggunakan indikator-indikator yang ada. Selama ini penilaian yang dilakukan hanya menggunakan perhitungan Microsoft Excel sehingga waktu yang digunakan untuk melakukan proses penilaian terkesan lama dan lambat. Untuk mengatasi permasalahan tersebut maka diperlukanlah metode penyelesaian dengan ketepatan dan kecepatan pada pengambilan keputusan penilaian kecamatan terbaik. Sistem Pendukung Keputusan tersebut dibuat menggunakan framework Laravel dan  basis data MariaDB serta metode yang digunakan adalah TOPSIS. Hasil dari Penilaian kecamatan terbaik menggunakan Sistem Pendukung Keputusan dengan metode TOPSIS sangat dibutuhkan untuk membantu tim penilai  dalam melaksanakan proses penilaian yang lebih cepat agar hasil yang akan didapatkan jauh lebih baik. Analisis dan implementasi sistem pendukung keputusan dengan metode TOPSIS mengklasifikasi kecamatan terbaik di Kota Tanjungbalai memudahkan proses pengambilan keputusan menjadi lebih cepat dan lebih bagus kepada Sekretaraiat Daerah Kota Tanjungabalai khususnya dibagian Pemerintahan dalam memilih Kecamatan terbaik berdasarkan kriteria/indikator yang ada. Hasil pengolahan sistem 100 % sama dengan hasil pengolahan secara manual. Maka dari itu sistem ini sangat membantu dalam mempercepat pekerjaan.Kata Kunci : Sistem Pendukung Keputusan;TOPSIS;Penilaian Kecamatan Terbaik.

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  


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>


2020 ◽  
Vol 2 (2) ◽  
pp. 55-60
Author(s):  
Enok Tuti Alawiah ◽  
Sefrika Sefrika

At the beginning of 2020 there was a natural disaster that caused many people to lose their homes, damage to public facilities and infrastructure, as well as the breakdown of transportation links connecting villagers, especially in 3 districts namely Sukajaya, Nanggung, and Cigudeg. As a result of the disaster, many villages are isolated and residents need a lot of logistical support to meet their needs. To overcome these problems, we need a system that can help the government and volunteers who are interested in the decision making the process so that the provision of assistance for victims of natural disasters can be right on target and in accordance with the urgency of basic needs and logistics needed. Decision support systems using the TOPSIS method are used to solve multi-criteria problems by offering various alternative solutions to solve problems. The results obtained a final preference value of 0.68 from C3 criteria in order to prioritize residents with closed transportation access to channel disaster relief funds for victims of natural disasters in Bogor Regency.


2016 ◽  
Vol 3 (4) ◽  
pp. 344
Author(s):  
Tri Widayanti ◽  
Tony Wijaya

Penggunaan sistem pendukung keputusan dapat meningkatkan proses penilaian dalam seleksi Beasiswa bidikmisi sehingga dapat mengurangi subjektivitas pengambilan keputusan. Keputusan ini di dukung oleh beberapa kriteria sehingga dapat terpilih penerima beasiswa bidikmisi sesuai dengan kuota yang telah diberikan Kemenristek Dikti.Penelitian ini berbentuk studi kasus dengan metode research and development yang subjek penelitiannya adalah Politeknik Negeri Pontianak. Sistem pendukung keputusan untuk seleksi penerima beasiswa bidikmisi menggunakan metode TOPSIS berbasis web dengan menggunakan basis data MySQL dan bahasa pemrograman PHP. Metode perancangan aplikasi sistem pengambilan keputusan seleksi penerima beasiswa bidikmisi menggunakan metode Agile dengan pendekatan Extreme Programming yang memiliki tahapan antara lain Planning, Design, Coding, dan Testing yang menggunakan pendekatan Object-Oriented dengan sistem pemodelannya menggunakan UML. Hasil implementasi Metode TOPSIS dalam sistem pendukung keputusan seleksi penerima beasiswa bidikmisi berbasis web menampilkan fitur menu pendaftaran calon peserta bidikmisi, menu pengisian kriteria, menu penilaian calon peserta, menu hasil penilaian, menu kelola kriteria, menu kelola alternatif kriteria dan menu kelola pemakai. Selain itu, hasil implementasi memberikan objektivitas dan kemudahan bagi panitia dalam penilaian dan perankingan. Hasil pengujian juga menunjukkan bahwa penggunaan metode TOPSIS sebagai alternatif pengambilan keputusan dalam seleksi penerima beasiswa bidikmisi dapat menyaring 20% penerima beasiswa bidikmisi yang seharusnya tidak layak mendapatkan beasiswa tersebut.The use of decision support system can enhance the assessment process of bidikmisi scholarship selection, so that it may reduce the subjectivity in decision making. This decision system is supported by some criteria, so that the reciplent of bidikmisi scholarship can be selected accordance to the provided quota by Kemenristek Dikti. This is a case study research with research and development method where research participant is State Polytechnic School of Pontianak. TOPSIS method is used in decision support system for bidikmisi scholarship acceptance selection web-based using MySQL based data and PHP language program. The application design method of decision support system of bidikmisi scholarship selection recipients use agile method of Extreme Programming approach which steps of Planning, Design, Coding and Testing of object-Oriented approach with UML. The result of TOPSIS method application in decision support system of bidikmisi scholarship selection recipients web-based display fitur menu of bidikmisi candidate registration, prospective participants charging criteria, candidate assessment menu, the assessment result menu, management criteria menu, alternative governance criteria and the user governance menu. Basides, the result of the implememtation gives objectivities and ease for the committee in the assessment and ranking. The test results also show that the use TOPSIS method as an alternative decision-making in the selection of awardees bidikmisi can filter 20 % scholarship bidikmisi that should not be eligible for the scholarship.


2021 ◽  
Vol 1 (1) ◽  
pp. 87-96
Author(s):  
Mulia Safitri ◽  
Abertun Sagit Sahay ◽  
Ariesta Lestari

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.


2017 ◽  
Vol 8 (2) ◽  
pp. 663 ◽  
Author(s):  
Muhammad Fadlan ◽  
Muhammad Muhammad ◽  
Hadriansa

Beasiswa Peningkatan Prestasi Akademik (PPA) sebagai salah satu bentuk dukungan pemerintah Republik Indonesia terhadap dunia pendidikan. Beasiswa yang disalurkan oleh pemerintah melalui Perguruan Tinggi yang ada di Indonesia ini, penyeleksian dan penetapan penerimanya sepenuhnya diserahkan kepada pihak Perguruan Tinggi yang bersangkutan. Tahap inilah yang sangat rentan terjadinya kecurangan. Pada objek penelitian  yang diteliti hingga saat ini proses penyeleksian masih dilakukan dengan menggunakan Microsoft Excel, hal ini tentu saja kurang efektif dan efisien, serta rentan akan terjadinya kesalahan bahkan kecurangan. Untuk itu, diperlukan suatu metodologi dan aplikasi yang tepat dalam melakukan penyeleksian penerima beasiswa tersebut. Decision Support System digunakan sebagai solusi untuk melakukan perekomendasian penerima beasiswa, khususnya dengan menggunakan Metode Technique  for  Order  Preference  by  Similarity  to  Ideal  Solution  (TOPSIS)  dan  Analytical  Hierarcy Process (AHP). Penggunaan kombinasi dua metode tersebut dilakukan agar memiliki tingkat akurasi yang baik jika dibandingkan  dengan menggunakan satu metode. Hasilnya,  aplikasi  decision support system dengan penerapan kombinasi metode Topsis dan AHP berhasil di rancang dan di ujicoba, serta sukses dalam perekomendasian penerima beasiswa PPA dengan menghasilkan data alternatif mahasiswa yang terurut mulai dari nilai preferensi yang paling tinggi 0.764 hingga terendah 0.189. Hasil ini dapat menjadi rekomendasi bagi pengambil keputusan dalam mengambil keputusan yang efektik, efisien dan dapat dipertanggung jawabkan.


Author(s):  
Dwika Assrani ◽  
Mesran Mesran ◽  
Ronda Deli Sianturi ◽  
Yuhandri Yuhandri ◽  
Akbar Iskandar

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


Author(s):  
Sri Wulan ◽  
Berto Nadeak ◽  
Rivalri Kristianto Hondro ◽  
Fince Tinus Waruwu

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


2018 ◽  
Vol 10 (1) ◽  
pp. 13-18
Author(s):  
Mitha Anggreani Rupang ◽  
Adhi Kusnadi

Employee is a part of the company's most important asset in its efforts to maintain survival, growth, ability to compete and profit. At this time the process of assessment of employees in Jakarta Smart City is still in the form of manual and the decision only from one party only, so the process is still not accurate. So it takes the methods that must be able to replace that system. For that reason, a Decision Support System (SPK) was created to determine the best employees in Jakarta Smart City. In the system implemented the method of Entropy and TOPSIS. Entropy method can be trusted in determining the weight of the criteria to be used. And TOPSIS method can quickly perform the ranking process. Criteria to be used are quality and quantity of work, obedience, cooperation, morale, and work discipline. The index of satisfaction level of respondents to the decision support system ranges from 70% -80%, meaning that the assessment of the system created gives results at a fairly good level. Index Terms—employee, nter key words or phrases in alphabetical order, separated by commas


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