The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods

Sutoyo, Muhammad Nurtanzis; Mangkona, Andi Tenri Sumpala

doi:10.33096/ilkom.v13i3.936.272-284

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…Pada tahap ini akan dilakukan analisa dan perankingan dari hasil pembahasan masalah yang berisi tahapa-tahapan perhitungan data-data yang ada dengan menggunakan metode TOPSIS. Adapun langkah-langkahnya adalah sebagai berikut ( [15], [16], [17], [18], [19]) : 1) Menentukan matriks keputusan (r), yaitu…”

Section: E Analisis Dataunclassified

Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi

To¹

2023

SISFOKOM

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School libraries should be accredited with the aim of improving the quality of libraries. Pekanbaru City Library and Archives Service (DISPUSIP) in determining a school library that deserves to be accredited is still done manually, namely DISPUSIP went directly to the field to monitoring the library in the school and the data collection still used manual entries. Meanwhile, a lot of data must be collected, causing the data to be inaccurate and take a long time. For this reason, a decision support system (DSS) is needed. The data used are nine junior high schools both public and private as an alternative. While the criteria refer to the school library accreditation instrument issued by the National Library (Perpusnas) consisting of six criteria, namely collections, library facilities and infrastructure, library services, library staff, library administration and management, and reinforcement. Data analysis using the TOPSIS method by steps of determining the decision matrix, normalization matrix, calculating both positive and negative ideal solutions, calculating the distance to the ideal solution, calculating preference values, and ranking. The results obtained for the SMP library are Sek 4, Sek 1 and Sek 5 which are eligible for accreditation.

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Section: E Analisis Dataunclassified

Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi

To¹

2023

SISFOKOM

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“…Selain itu, Adrian et al menunjukkan bahwa metode ROC dapat dikombinasikan dengan metode ARAS untuk menghasilkan rekomendasi terbaik [35]. Adapun, Sutoyo dan Mangkona menunjukkan bahwa ROC juga dapat dikombinasikan dengan model pendukung keputusan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [36]. Hal ini menunjukkan bahwa metode ROC dapat digunakan dalam mengoptimalkan proses penetapan kriteria sebagai faktor-faktor yang berperan penting dalam proses pengambilan keputusan.…”

Section: Hasil Dan Pembahasanunclassified

Penerapan Metode Additive Ratio Assessment (ARAS) dan Ranking of Centroid (ROC) dalam Pemilihan Layanan Akomodasi dan Local Cuisine

Singgalen

2023

JoSYC

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Salatiga is a gastronomic city with various types of traditional food and drinks and is a recreational tourism city with exciting and crowded mountain natural scenery. The availability of accommodation services and local cuisine adds to visitors' preferences to enjoy local culinary dishes. This study offers an initiative to use the Additive Ratio Assessment (ARAS) method in selecting the best accommodation and restaurant services in Salatiga based on Tripadvisor data. The stages in the calculation process based on the ARAS method are as follows: the stage of determining the value of criteria, weights, alternatives, and optimal values; the stage of converting the value of the criterion into a decision matrix; the stage of normalization of the decision matrix for all criteria; stage of calculating the value of utility; Ranking stage. The calculation results show that in the context of accommodation services, A5 occupies the first position with a Ki value of 0.887, A4 occupies the second position with a Ki value of 0.870, and A1 occupies the third position with a Ki value of 0.849. Meanwhile, in the context of local cuisine, A2 occupies the first position with a Ki value of 0.951, A5 occupies the second position with a Ki value of 0.914, and A4 occupies the third position with a Ki value of 0.854. This shows that ARAS and ROC methods can produce the best recommendations for tourists who want to use accommodation services and enjoy local cuisine in Salatiga City.

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“…MADM is a type of DSS where MADM first determines a weight value for each criterion then performs a calculation and ranks process to select each alternative according to the value that has been given [4]. MADM is widely used in the assessment of the given alternatives [14].…”

Section: B Multiple Attribute Decision Making (Madm) Yager Modelmentioning

confidence: 99%

“…There are several DSS models, one of which is Multiple Attribute Decision Making (MADM). The way MADL works was that it first assigned a value to each criterion, then calculated it and then did a ranking to select each alternative [4].…”

Section: Introductionmentioning

confidence: 99%

Combination of the MADM Model Yager and k-NN to Group Single Tuition Payments

Paliling,

Sutoyo

2023

Ilk. J. Ilm.

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Tuition payments at State Universities (PTN) use a Single Tuition Fee (UKT) payment system. It has been implemented to make it easier for students to pay their tuition. The UKT system is divided into several groups starting from the UKT group I to VIII. Universitas Sembilanbelas November (USN) Kolaka is a state university and the university should determine the amount of tuition fees for each student according to the UKT system. In determining the UKT group for each student, several variables were used to make it easier to group student into their UKT groups. However, the large number of students, a number of variables and the limited time to determine the amount of UKT for each student become an issue, so a method was needed to help USN Kolaka in grouping UKT for each student. One thing that can be done was to use the MADM model Yager and k-NN in order to make it easier to group UKT students. The results of the study showed that the use of the MADM Model Yager and k-NN could determine the UKT group of the students, and the results obtained for the UKT group I were 63 people (21.95%), the UKT group II were 72 people (25.09%), the UKT group III were 120 people (41.81%), UKT group IV were 7 people (2.44%), and UKT group V were 25 people (8.71%).

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The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods

Cited by 3 publications

References 8 publications

Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi

Penerapan Metode TOPSIS untuk Menentukan Kelayakan Perpustakaan Sekolah Diakreditasi

Penerapan Metode Additive Ratio Assessment (ARAS) dan Ranking of Centroid (ROC) dalam Pemilihan Layanan Akomodasi dan Local Cuisine

Combination of the MADM Model Yager and k-NN to Group Single Tuition Payments

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