Klasifikasi Faktor-Faktor Yang Mempengaruhi Masa Penyelesaian Skripsi Mahasiswa Dengan Metode CHAID

Fitri, Haida

doi:10.24014/jsms.v6i1.9248

Cited by 3 publications

(2 citation statements)

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“…Proses tersebut dipengaruhi oleh faktor internal maupun eksternal (Fitri, 2020). Faktor internal adalah suatu hal yang disebabkan oleh mahasiswa itu sendiri sedangkan faktor eksternal dipengaruhi oleh lingkungan individu (Yuniar dkk.…”

Section: Pendahuluanunclassified

Sistem Rekomendasi Dua Arah untuk Pemilihan Dosen Pembimbing Menggunakan Data Histori dan Skyline View Queries

Sampurno

Annisa

Wijaya

2022

JTIIK

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Pemilihan dosen pembimbing merupakan salah satu faktor yang mempengaruhi proses penyelesaian tugas akhir. Pada mekanisme pemilihan dosen pembimbing, sering kali mahasiswa sendiri belum memahami dengan jelas kemampuan dirinya serta topik apa yang akan dipilihnya, sehingga nama calon dosen pembimbing yang diusulkan mahasiswa umumnya belum mempertimbangkan hal tersebut. Mekanisme seperti ini juga menyebabkan terjadinya penumpukan calon bimbingan pada dosen tertentu dan kekurangan bimbingan pada dosen yang lain, meskipun keduanya memiliki latar belakang keilmuan yang mirip. Pada saat yang sama, umumnya dosen pembimbing tidak pernah ditanya preferensinya terhadap mahasiswa seperti apa yang sesuai untuk topik penelitian yang akan ditawarkan. Sistem rekomendasi yang ada biasanya hanya mempertimbangkan preferensi salah satu pihak saja, dari sisi dosen saja ataupun sisi mahasiswa saja. Penelitian ini membangun sistem rekomendasi dua arah baik dari sisi dosen maupun dari sisi mahasiswa menggunakan skyline view queries. Skyline view queries merekomendasikan dosen yang dominan kepada mahasiswa sesuai dengan preferensi mahasiswa, dan merekomendasikan mahasiswa yang dominan kepada dosen sesuai dengan preferensi dosen. Untuk mendapatkan preferensi dari kedua sisi, digunakan teknik text mining dan clustering pada data histori nilai akademik dan topik penelitian dari mahasiswa yang sudah lulus sebagai acuan untuk mahasiswa yang akan memilih dosen pembimbing. Hasil percobaan menunjukkan bahwa penggabungan metode skyline view queries dengan profil akademik dan data histori dapat mengatasi permasalahan penumpukan calon bimbingan pada dosen tertentu serta dapat memberikan rekomendasi yang sesuai dengan kemampuan akademik dan preferensi mahasiswa dan dosen. AbstractSelection of thesis supervisor is a factor that have an effect on the final thesis process. In the process of choosing thesis supervisor, student often has not clearly recognize his/her capability and topic that will be researched. Therefore, this issue is likely not considered when the student propose his/her thesis supervisor. This selection process typically also makes one supervisor is proposed by many student while other supervisor is proposed by less student, even though both supervisor has similar scientific background. At the same time, generally the thesis supervisor has never been asked his/her student preferences related to the supervisor’s research topics. Existing recommendation systems usually consider preferences from one party, either supervisor’s or student’s preferences. This research develop a two-way recommendation system, considering both supervisor’s and student’s preferences using skyline view queries. Skyline view queries recommend dominant supervisor to student based on student’s preferences, and recommend dominant student to supervisor based on supervisor’s preferences. To acquire preferences from both party, text mining techniques and clustering is used on student’s historical academic scores data and data of research topics from graduated student as reference for student in choosing thesis supervisor. Experiment results show that using skyline view queries method on student’s academic profile and historical data can overcome the issue of one supervisor is proposed by too many students. In addition, the results shows that the method can also give appropriate recommendation based on student’s academic portfolio and student’s and supervisor’s preferences.

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Section: Pendahuluanunclassified

Sistem Rekomendasi Dua Arah untuk Pemilihan Dosen Pembimbing Menggunakan Data Histori dan Skyline View Queries

Sampurno

Annisa

Wijaya

2022

JTIIK

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“…and Gunasundari, 2017), dan rumah tangga miskin (Yuliasari, 2021). Adapun pengklasifikasian metode CHAID digunakan pada kasus pencabutan layanan oleh pelanggan Indihome (Khodijatunnuriyah & Pratiwi, 2019), masa penyelesaian skripsi mahasiswa (Fitri 2020), penentuan target pasar (Rizki, Isnaini, Umam & Hamzah, 2020), penentuan segmentasi pariwisata (Díaz-p, García-gonz & Fyall, 2020), kelanjutan siswa mengikuti bimbingan belajar (Islamy 2021), termasuk pengaruh prestasi akademik mahasiswa (Fanggidae, Ekowati, Nenohai & Udil 2021). Metode CHAID juga dikombinasikan dengan metode lain, seperti pengklasifikasian pada kasus pemberian kartu keluarga sejahtera digunakan CHAID dan Regresi Logistik Biner (Suhendra 2020), status angkatan kerja digunakan CHAID dan Regresi Logistik (Juwita, 2021).…”

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Implementasi Imrpoved Chi-Square Automatic Interaction Detection Pada Klasifikasi Faktor-Faktor Yang Mempengaruhi Literasi Informasi Generasi Muda

Bula

Resmawan

Nashar

et al. 2022

JSA

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Information Literacy skills are needed to find quality sources and manage and sort information so that it can be used to improve the quality of life and community empowerment. The number of factors that affect information literacy causes the need for classification. The method used is Improved Chi-Square Automatic Interaction Detection (Improved CHAID), which aims to classify influencing factors with Information Literacy abilities. This study uses primary data, namely 237 Mananggu Young Generation (15-24 years), with Information Literacy as the dependent variable. The independent variables consist of reading interest, reading habits, gender, digital literacy, information needs, critical thinking, and information-seeking behavior. Based on the Improved CHAID analysis, the factors that significantly affect information literacy are Reading Habits (83%), Information Needs (89%), and Critical Thinking (94%). The classification performance of Testing Data is 40%, with a classification accuracy of 77% or from 95 samples, there are 73 samples that are properly classified. The sensitivity of 78% shows that the classification results are able to predict samples that have information literacy, 74% specificity indicates that the classification results are able to predict samples that do not have information literacy, and Press's Q 27.38 indicates a stable classification or statistically significant.

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Determinant of the Study Period for Mathematics Education Students at IAIN Bukittinggi Based on CHAID Method

Aniswita,

Fitri,

Riswan Efendi

et al. 2023

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The study period of study program graduates is one of the accreditation assessments carried out by The Independent Accreditation Agencies for Education or LAMDIK. The graduates have a study period is less than five years getting the highest point in the assessment matrix for criterion 9, namely tri-dharma outputs and achievements. However, most study program graduates from various universities in Indonesia completed their studies more than 4 years. This case also happened to graduates of Mathematics Education at IAIN Bukittinggi. There were 70% of graduates who completed their studies more than 4 years. The aim of this research was to determine factors that influence the graduates’ study period and their characteristics who were able to complete their studies for 4 years. This research was descriptive quantitative with a correlation study of 10 independent variable factors that affect the study period. By using total sampling, there were 340 graduates of Mathematics Education as a sample of this research. Documentation and questionnaires were used to collect the data. Then, the CHAID method was used to analyze the data. The result showed that, first, there were 5 independent variables that affect the graduates’ study period, namely the period of thesis completion, the gender, the major of high school, the mother’s occupation, and the track of university entrance. Second, there were 2 characteristics in which students can complete their studies for 4 years with a confidence level of 74,3%. Keywords: Study Period, Mathematics Education Students, CHAID Method

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Klasifikasi Faktor-Faktor Yang Mempengaruhi Masa Penyelesaian Skripsi Mahasiswa Dengan Metode CHAID

Abstract: Artikel ini membahas mengenai Klasifikasi Faktor-Faktor Yang Mempengaruhi Masa Penyelesaian Skripsi Mahasiswa Dengan Metode CHAID Di Fakultas Tarbiyah Dan Ilmu Keguruan IAIN Bukittinggi

Cited by 3 publications

References 1 publication

Sistem Rekomendasi Dua Arah untuk Pemilihan Dosen Pembimbing Menggunakan Data Histori dan Skyline View Queries

Sistem Rekomendasi Dua Arah untuk Pemilihan Dosen Pembimbing Menggunakan Data Histori dan Skyline View Queries

Implementasi Imrpoved Chi-Square Automatic Interaction Detection Pada Klasifikasi Faktor-Faktor Yang Mempengaruhi Literasi Informasi Generasi Muda

Determinant of the Study Period for Mathematics Education Students at IAIN Bukittinggi Based on CHAID Method

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