K-Mean Clustering Algorithm in Grouping Prospective Scholarship Recipients

Khomarudin, Agus Nur; Zakir, Supratman; Novita, Rina; Endrawati,; Mat, Mohd Zahiri bin Awang; Maiyana, Efmi

doi:10.1088/1742-6596/1779/1/012007

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…The step in this research is to apply the 4-D (Four-D ) development model which is taken from the abbreviation Define, Design, Develop and Disseminate [4]. The researcher chose research with the 4D method because of the 4D working steps that the researcher understood and from the 4D explanation, which was not difficult to do in field cases.…”

Section: Methodsmentioning

confidence: 99%

Design and Build a New Student Registration Information System Supported by SMS Gateway at Alhira Middle School

Afero¹

2021

Knowbase : International Journal of Knowledge in Database

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This study aims to design a Web-Based Online Registration Information System Supported by SMS (Short Message Service) Gateway at Alhira Middle School that is valid, practical, and effective. The process of registering new students, which has been taking place at Alhira Junior High School, has not yet run online; this can be seen from the data process, report generation that still uses Ms. Office Word, and use paper archives. It makes data security not guaranteed, allowing much data to be lost. On the other hand, for prospective registrants who want to know information related to schools, it is still difficult to do, because it requires prospective registrants to come or visit the hut directly. Another problem is that more prospective new students come from outside the Tanah Datar area, of course, it requires a lot of costs, especially transportation. This problem is the background of this research. The type of research used is Research and Development, with the 4-D model stands for Define, Design, Develop and Disseminate. While the system development model used adopts the SDLC cycle (System Development Life Cycle, namely the waterfall model. The results of this study are a new student registration information system that has been tested for products including validity, practicality and effectiveness tests. The results of the validity test were carried out on three people; the validator obtained a total score of 0.88 with very valid criteria, the practicality test was carried out on three validators obtaining a total value of 93.33 with very practical criteria, and the effective value for ten respondents obtained a total result of 0.79 with very effective criteria. After testing the product, this information system can be declared feasible and can be used in the process of accepting new students at Alhira Middle School.

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Section: Methodsmentioning

confidence: 99%

Design and Build a New Student Registration Information System Supported by SMS Gateway at Alhira Middle School

Afero¹

2021

Knowbase : International Journal of Knowledge in Database

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“…KDD merupakan singkatan dari Knowledge Discovery in Database. Beberapa tahapan KDD yang digunakan dalam penelitian ini adalah melakukan pembersihan data (data cleaning), integrasi data (data integration), pemilihan data (data selection), dan melakukan transformasi data (data transformation) [20].…”

Section: Metode Analisis Dataunclassified

Penerapan Algoritma K-Means dan Analisisnya untuk Menentukan Kebijakan Strategis Penyelesaian Studi Mahasiswa

Novita,

Khomarudin,

Aulia

et al. 2023

j.sains manaj. inform. dan kompʹût.

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Pertambahan jumlah mahasiswa yang menyelesaikan studi setiap tahun pada suatu program studi telah menghasilkan banyak tumpukan data dan tentunya menimbulkan sebuah pertanyaan besar, yaitu “pengetahuan apa yang dapat dihasilkan dari tumpukan data tersebut?”. Menjawab pertanyaan besar tersebut peneliti mencoba untuk menerapkan suatu teknik data mining yang merupakan sebuah tahapan dalam Knowledge Discovery in Database (KDD). Usaha meningkatkan kualitas mahasiswa yang dilakukan oleh prodi PTIK UIN Bukittinggi menghadapi beberapa kendala, diantaranya yaitu secara umum tugas akhir mahasiswa dirasakan mengalami penurunan jika dibandingkan dengan beberapa tahun sebelumnya. Selain itu, prodi belum mensosialisasikan kepada dosen dan mahasiswa tentang judul penelitian tugas akhir mahasiswa dan juga roadmap atau arah penelitian ke depan. Masalah lainnya yaitu terdapat mahasiswa yang mengajukan judul penelitian tugas akhir namun kurang sesuai dengan empat domain skill pada prodi PTIK. Metodologi pengembangan data mining yang digunakan dalam penelitian ini adalah CRIPS-DM merupakan singkatan dari Cross-Industry Standart Process for Data Mining. Hasil dari penerapan data mining metode clustering dengan algoritma K-Means yang diterapkan dalam penelitian ini memperoleh tiga buah cluster atau kelompok dengan beberapa analisis setiap cluster. Analisis dari setiap cluster menghasilkan rekomendasi untuk program studi dalam mengambil kebijakan strategis terhadap mahasiswa yang sedang dalam penyelesaian studi pada prodi PTIK UIN Bukittinggi.

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“…Research by Agus, et al entitled Grouping Data for Scholarship Recipients Using the K-means Clustering Algorithm, this research was conducted to determine which student groups will receive scholarships during a specific semester. The end result of the research is generate a group of potential scholarship recipients [8]. Furthermore, Asroni et al conducted the following research on the new student admission statistics from the Faculty of Medicine and Nursing in each cluster.…”

Section: Introductionmentioning

confidence: 99%

K-Means Clustering Algorithm to See the Correlation of Tahfidz Activities with Student’s Learning Outcomes

Khomarudin¹,

Hidayat

2022

Knowbase : International Journal of Knowledge in Database

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Computer technology is currently used as a tool to support educational activities and assist teachers in quickly, precisely, and accurately processing student data. The Qur'an has been memorized by many students at MAN 1 Bukittinggi as a result of long-running Tahfidz activities, which have also helped them stand out in teaching and learning evaluation meetings held at the end of each semester. In conveying the activities which take place in the field, the Tahfidz teacher has not used real data and certainly will not describe the real state of Tahfidz activity and student memorization. The solution to this problem is applying the Data Mining technique for grouping data of Tahfidz activity and student learning outcomes, in order to discover the correlation between the two and whether there is any effect or not. The data processed in this research is Tahfidz activity data and student learning outcomes data for class XI (eleven) sourced from piles of data, the data used are Tahfidz memorization data, Tahfidz scores, and student grades at MAN 1 Bukittinggi. The data mining development methodology used in this research is Cross-Industry Standart Process for Data Mining (CRIPS-DM). The results of the research by applying the K-Means Clustering algorithm has produced two clusters. The first cluster shows the characteristic that Tahfidz activity doesn’t have significant effect on student learning outcomes. The second cluster shows the characteristics that Tahfidz activity has a significant effect on student learning outcomes. The data from the clustering of each cluster is then analyzed and the results of the cluster analysis are used by the school as a consideration in evaluating Tahfidz activity and learning outcomes whether it has been effective or not at MAN 1 Bukittinggi.

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K-Mean Clustering Algorithm in Grouping Prospective Scholarship Recipients

Cited by 5 publications

References 2 publications

Design and Build a New Student Registration Information System Supported by SMS Gateway at Alhira Middle School

Design and Build a New Student Registration Information System Supported by SMS Gateway at Alhira Middle School

Penerapan Algoritma K-Means dan Analisisnya untuk Menentukan Kebijakan Strategis Penyelesaian Studi Mahasiswa

K-Means Clustering Algorithm to See the Correlation of Tahfidz Activities with Student’s Learning Outcomes

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