Pemodelan Regresi Logistik Biner Pada Faktor-Faktor yang Mempengaruhi Prestasi Belajar Mahasiswa Mata Kuliah Kalkulus 1 di Institut Teknologi Sepuluh Nopember

Widyastuti, Yanuardhani Putri (2025) Pemodelan Regresi Logistik Biner Pada Faktor-Faktor yang Mempengaruhi Prestasi Belajar Mahasiswa Mata Kuliah Kalkulus 1 di Institut Teknologi Sepuluh Nopember. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Prestasi belajar mahasiswa merupakan hasil dari proses pembelajaran yang mencerminkan tingkat pemahaman, kemampuan, dan keterampilan yang diperoleh selama masa perkuliahan. Penilaian prestasi belajar menjadi indikator keberhasilan proses pembelajaran dan efektivitas metode pengajaran, yang umumnya diukur melalui Indeks Prestasi (IP). Pada tahun ajaran gasal 2023/2024, data dari Subdirektorat Koordinasi Perkuliahan Bersama (SKPB) Institut Teknologi Sepuluh Nopember (ITS) menunjukkan bahwa sebanyak 19,5% mahasiswa yang mengambil mata kuliah Kalkulus 1 tidak memenuhi kriteria kelulusan. Tingginya angka ketidaklulusan pada mata kuliah dasar ini menimbulkan kekhawatiran terhadap dampak negatif seperti penurunan motivasi belajar, keterlambatan masa studi, dan hambatan dalam memahami mata kuliah lanjutan. Prestasi belajar mahasiswa dipengaruhi oleh berbagai faktor, baik faktor internal seperti motivasi belajar, minat, dan kemampuan intelektual, maupun faktor eksternal seperti tempat tinggal dan persepsi terhadap lingkungan belajar. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang memengaruhi prestasi belajar mahasiswa pada mata kuliah dasar Kalkulus 1 di ITS dengan menggunakan metode regresi logistik biner. Penelitian dilakukan terhadap 452 mahasiswa yang mengikuti mata kuliah Kalkulus 1 pada tahun ajaran 2023/2024. Hasil analisis menunjukkan bahwa terdapat empat variabel berpengaruh signifikan terhadap kelulusan, yaitu nilai Tes Potensi Akademik (TPA), motivasi belajar, jenis kelamin, dan tempat tinggal. Nilai odds ratio menunjukkan bahwa setiap kenaikan satu satuan pada nilai TPA meningkatkan peluang kelulusan sebesar 1,8%, dan setiap kenaikan satu satuan skor motivasi belajar meningkatkan peluang kelulusan sebesar 4,6%. Selain itu, mahasiswa laki-laki memiliki peluang lulus 45,7% lebih kecil dibandingkan mahasiswa perempuan, dan mahasiswa yang tinggal sendiri (kos/kontrak) memiliki peluang kelulusan 1,946 kali lebih besar dibandingkan dengan mahasiswa yang tinggal bersama orang tua. Model dinyatakan sesuai berdasarkan uji Hosmer-Lemeshow (p = 0,210) dan memiliki tingkat ketepatan klasifikasi sebesar 70,58%. Penelitian ini diharapkan dapat menjadi acuan dalam perumusan strategi pembelajaran yang lebih efektif untuk meningkatkan kualitas akademik mahasiswa, khususnya pada mata kuliah dasar di ITS.
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Student academic achievement is the result of a learning process that reflects the level of understanding, ability, and skills acquired throughout the course of study. The assessment of academic performance serves as an indicator of the success of the learning process and the effectiveness of teaching methods, which is generally measured by the Grade Point Average (GPA). In the odd semester of the 2023/2024 academic year, data from the Sub-directorate of Joint Course Coordination (SKPB) at Institut Teknologi Sepuluh Nopember (ITS) indicated that 19.5% of students enrolled in the Calculus 1 course did not meet the graduation criteria. The high failure rate in this fundamental course raises concerns about potential negative impacts, such as decreased learning motivation, delays in study completion, and difficulties in understanding advanced courses. Student academic achievement is influenced by various factors, including internal factors such as learning motivation, interest, and intellectual ability, as well as external factors such as living arrangements and perception of the learning environment. This study aims to identify and analyze the factors that influence student academic achievement in the Calculus 1 course at ITS using binary logistic regression analysis. The research was conducted on 452 students who took the Calculus 1 course in the 2023/2024 academic year. The analysis results showed that four variables significantly affected course completion: Academic Potential Test (TPA) score, learning motivation, gender, and living arrangement. The odds ratio values indicate that for each one-point increase in TPA score, the likelihood of passing increases by 1.8%, and for each one-unit increase in learning motivation score, the likelihood of passing increases by 4.6%. Additionally, male students have a 45.7% lower chance of passing compared to female students, while students who live independently (e.g., in a rented room or boarding house) have 1.946 times higher chances of passing than those who live with their parents. The model was deemed fit based on the Hosmer-Lemeshow test (p = 0.210) and had a classification accuracy rate of 70.58%. This study is expected to serve as a reference in formulating more effective learning strategies to improve student academic quality, especially in fundamental courses at ITS.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kalkulus 1, Prestasi Belajar, Regresi Logistik Biner, Academic Performance, Binary Logistic Regression, Calculus 1
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis.
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Yanuardhani Putri Widyastuti
Date Deposited:	30 Jul 2025 07:21
Last Modified:	30 Jul 2025 07:21
URI:	http://repository.its.ac.id/id/eprint/123260

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