Implementasi Algoritma K-Medoids untuk Pengelompokkan Sebaran Mahasiswa Baru

Irawan, Eka; Siregar, Sandy Putra; Damanik, Irfan Sudahri; Saragih, Ilham Syaputra

doi:10.30645/jurasik.v5i2.213

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Algoritma A-priori merupakan tipe Association Rules dalam data mining aturan yang menyatakan asosiasi antara beberapa atribut secara sering disebut analisis afinitas atau analisis bola basket pasar [10]. Algoritma apriori atau yang sering disebut dengan analisis asosiasi (association rule mining) merupakan suatu teknik data mining untuk menemukan aturan asosiasi antar kombinasi item [11].…”

Section: Estimasiunclassified

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Puspita,

Syahri

2023

jusim

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This research aims to implement an a priori algorithm to determine promotion strategies for new students at the Tarbiyah College of Science (STIT) Pagar Alam City. Based on the results of observations and interviews with the committee accepting new students at STIT, the promotion strategy is still carried out thoroughly without looking at target opportunities for places that have potential and those that do not have potential. This is very time-consuming and expensive. The Apriori algorithm is very effective in finding relationship patterns of one or more itemsets in a large data set to determine which study programs are most in demand at the Pagar Alam Tarbiyah College of Science. The process of applying the Apriori algorithm to student data for 2020-2021 uses the Rapidminer application with minimum support of 10% and confidence of 40%, this research obtained information that if the student comes from the PAI study program then comes from the department with a confidence of 44.44%, and if the student comes from SMA N 3 Pagar Alam then comes from the science department with a confidence of 56.09%

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Section: Estimasiunclassified

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Puspita,

Syahri

2023

jusim

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“…Mustofa, Sidiq, & Rahmawati (2018) menyatakan Finite Automata merupakan model yang baik untuk komputer dengan jumlah memori yang sangat kecil. Teori automata itu sendiri merupakan alat yang efektif untuk merancang, mengotomatisasi dan mengoptimalkan suatu sistem, dan di dalam teori automata ini terdapat dua jenis yaitu DFA dan NFA (Irawan, Siregar, Damanik, & Saragih, 2020).…”

Section: Pendahuluanunclassified

Desain Game Edukasi Ilmu Tajwid Bagi Anak Usia Dini menggunakan Pemodelan Finite State Automata

Yanto¹,

Ismunandar

Erni

et al. 2021

Edumatic

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This study discusses how Finite State Automata (FSA) can be used as a model to design a Tajweed Science game application as a business diagram. This study aims to facilitate early childhood in learning the science of recitation by grouping hijaiyah letters into grouping the science of recitation by using a touch of the hand. The type of automata theory used is a non-deterministic finite automata with epsilon transition (E) or better known as E-NFA. Each transition, input, state that exists from the NFA, is basically to show the characteristics or states that occur in a game application. The importance of this research, in addition to learning recitation from an early age, is to show that automata theory can be used to help design a system in making game applications. The results of this Tajweed Science game application design are a rough display because there will still be further development stages and can ensure that game applications can be built from E-NFA modeling.

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“…Is the first step that will be used for grouping data that is seen based on the similarity of objects [8]. When using clustering, the equations are used to determine the distance to the algorithm, which means that the initial data selection can be determined randomly [14].…”

Section: Clusteringmentioning

confidence: 99%

Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java

Aria

2021

IJISTECH

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The Covid 19 pandemic has hit Indonesia for almost 15 months since March 2020. The virus has spread to all provinces in Indonesia. Various efforts were made to be able to reduce or prevent the spread of the coronavirus, including the implementation of the PSBB in various areas including in West Java province. In this study, the objective of this research is to cluster the data on cases of Covid 19 in West Java which are recapitulated daily based on districts/cities that occurred on May 20, 2021. For the clustering process, the K-medoids algorithm is used which determines 3 clusters based on the variables used, namely discarded close contact, suspects discarded, probable completed, probable died, totally positive, positive recovered, and positive died. For data processing, a calculation analysis was carried out using the stages in the K-medoids algorithm and the Rapidminer application with high cluster mapping of 6 districts/cities, medium clusters there were 19 districts/cities, while low clusters had 2 districts/cities. The results of the analysis are expected to provide information about the distribution and mapping of clusters in West Java province.

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Implementasi Algoritma K-Medoids untuk Pengelompokkan Sebaran Mahasiswa Baru

Cited by 5 publications

References 2 publications

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Desain Game Edukasi Ilmu Tajwid Bagi Anak Usia Dini menggunakan Pemodelan Finite State Automata

Implementation of the K-Medoids Algorithm for Data Clustering of Covid 19 Cases in West Java

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