Implementation of ECLAT Algorithm Technology: Determining Books Borrowing Pattern in University library

Lisnawita,; Devega, Mariza

doi:10.1088/1755-1315/469/1/012036

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Algoritma ECLAT adalah metode yang mengubah format data itemset horizontal menjadi format data itemset vertikal. Proses pencarian item list dilakukan dari item list yang paling sering muncul sampai yang paling jarang muncul tanpa perlu memperhatikan urutannya sehingga tidak perlu mengulang pencarian [7]. Pada penelitian dengan judul "Analisis Rekomendasi Produk Menggunakan Algoritma Eclat Berdasarkan Riwayat Data Penjualan Pt Xyz" menghasilkan bahwa algoritma eclat menghasilkan rekomendasi produk dan berdasarkan hasil uji sampel antara perhitungan sistem dengan perhitungan manual, memiliki keakuratan 100% dari 14.617 riwayat transaksi minimum support tertinggi untuk menemukan kombinasi k-itemset adalah 1% dan menghasilkan aturan asosiasi yang muncul memiliki nilai confidence yang kuat yakni diatas 50% [8].…”

Section: Pendahuluanunclassified

Penerapan Data Mining Dalam Mencari Pola Asosiasi Data Tracer Study Menggunakan Equivalence Class Transformation (ECLAT)

Amri

Nazir

Haerani

et al. 2022

JNKTI

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Abstrak - Tracer study adalah sebuah pendekatan yang diterapkan universitas untuk memperoleh informasi tentang kemungkinan kelemahan dalam proses pendidikan dan proses pembelajaran yang menjadi dasar perencanaan aktivitas untuk penyempurnaan di masa mendatang. Pada Universitas Islam Negeri Sultan Syarif Kasim Riau belum pernah ada tracer study yang komprehensif dan terstruktur dalam ruang lingkup universitas. Tracer study yang dilakukan hanya dalam lingkup program studi dan hanya dilaksanakan menjelang proses akreditasi prodi. Tidak ada tracer study yang rutin dilakukan di tingkat program studi dan universitas setiap tahunnya. Pada penelitian ini akan berfokus kepada penerapan data mining untuk mencari pola asosiasi pada data tracer study menggunakan Equivalence Class Transformation (ECLAT). Dari hasil penelitian terdapat 4 pola yang memenuhi support 13% dan confidence 80% dengan pengujian lift rasio 1. Pola tersebut diantaranya Jika ipk antara 3 – 3,5 dan gaji pertama dibawah 3 juta dan laki-laki maka status kelulusan tidak tepat waktu dan “masa tunggu mendapatkan pekerjaan pertama kurang dari 6 bulan” dengan support 17% dan confidence 84%. Jika ipk antara 3 – 3,5 dan perempuan maka “masa tunggu mendapatkan pekerjaan pertama kurang dari 6 bulan” dan hubungan pekerjaan dengan jurusan sesuai dengan support 14 % dan confidence 100%.Kata kunci: Tracer Study, Data Mining, Asosiasi, Equivalence Class Transformation, Eclat Abstract - Tracer study is an approach applied by universities to obtain important information in the education and learning process which is the basis for planning activities for future improvement. At UIN SUSKA University there has never been a comprehensive and structured tracer study within the scope of the university. There is no routine tracer study conducted at the study program and university level every year. This research will focus on the application of data mining to find association rules in tracer study data using ECLAT. From the research results, there are 4 patterns that meet the support of 13% and 80% confidence with a lift ratio test 1. The patterns include If the ipk is between 3 - 3.5 and the first salary is below 3 million and male then the graduation status is not on time and the waiting period to get the first job is less than 6 months with 17% support and 84% confidence. If the ipk is between 3 - 3.5 and female, then the waiting period to get the first job is less than 6 months and the job relationship with the major is in accordance with the support of 14% and confidence 100%.Keywords: Tracer Study, Data Mining, Asosiasi, Equivalence Class Transformation, Eclat

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Section: Pendahuluanunclassified

Penerapan Data Mining Dalam Mencari Pola Asosiasi Data Tracer Study Menggunakan Equivalence Class Transformation (ECLAT)

Amri

Nazir

Haerani

et al. 2022

JNKTI

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“…In 2017, the State Council and the Central Committee of the Communist Party of China jointly issued the Opinions on Strengthening and Improving the Ideological and Political Work in Colleges and Universities under the New Situation, which mentioned that we must "adhere to whole-staff education, whole-process education and all-round education" or "three comprehensive education" for short. The "three comprehensive education" requires higher vocational colleges to integrate moral education resources and enhance the effectiveness of moral education among higher vocational college students [1][2][3][4][5]. The innovative "three comprehensive education" model can help mobilize the initiatives of higher vocational college students to conduct self-management, self-education and self-service [6][7][8], and students' book borrowing behaviours due to their interdisciplinary learning interests are just the manifestation of the "reading, culture and service-based education" mechanism in the "three comprehensive education" [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Psychological Motivations of Students for Book Borrowing in Libraries of Higher Vocational Colleges from the Perspective of “Three Comprehensive Education”

Yan

2021

Int. J. Emerg. Technol. Learn.

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The innovative “three comprehensive education” model can mobilize the initiatives of students in higher vocational colleges, whose book borrowing behaviors are affected by “three comprehensive education”. This paper mainly studies the psychological motivations of students for book borrowing in libraries of higher vocational colleges from the perspective of “three comprehensive education”. Firstly, the psychological motivations for book borrowing were analyzed in details under the mechanism of “three comprehensive education”. Then, a dataset was created from the mass data on book borrowing and students. The relevant features were compressed as model inputs, aiming to improve model performance and reduce storage cost. Finally, a perception model was constructed to analyze the psychological motivations of students for book borrowing, and used to solve the five-class classification problem based on the directed acyclic graph. Experimental results prove the scientific of the psychological pattern analysis and the effectiveness of the proposed model. The research results provide a theoretical and practical reference for the effect analysis of “three comprehensive education”.

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Implementation of ECLAT Algorithm Technology: Determining Books Borrowing Pattern in University library

Cited by 2 publications

References 2 publications

Penerapan Data Mining Dalam Mencari Pola Asosiasi Data Tracer Study Menggunakan Equivalence Class Transformation (ECLAT)

Penerapan Data Mining Dalam Mencari Pola Asosiasi Data Tracer Study Menggunakan Equivalence Class Transformation (ECLAT)

Psychological Motivations of Students for Book Borrowing in Libraries of Higher Vocational Colleges from the Perspective of “Three Comprehensive Education”

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