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All Journal IPTEK The Journal for Technology and Science Techno.Com: Jurnal Teknologi Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Inferensi Jurnal Statistika dan Aplikasinya Journal of Multidisciplinary Applied Natural Science Journal of Fundamental Mathematics and Applications (JFMA) Makara Journal of Science Javanologi: International Journal of Javanese Studies Statistika Society RAGAM: Journal of Statistics and Its Application
Yekti Widyaningsih
Department Of Mathematics, Faculty Of Mathematics And Natural Science, Universitas Indonesia, Depok, Indonesia 16424
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Journal : statistika

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Analisis Variabel-Variabel yang Menjelaskan Tingkat Prokrastinasi Akademik pada Mahasiswa FMIPA Universitas XYZ Widyaningsih, Yekti; Rahmawati, Aprilia; Soemartojo, Saskya Mary
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3054

Abstract

ABSTRAK Mahasiswa diharapkan untuk menempuh pendidikan sarjananya dengan baik dan selesai dalam tepat waktu. Sebagai mahasiswa mempunyai aktivitas cukup banyak di luar rutinitas kuliah sudah menjadi hal yang lazim. Dengan banyaknya rutinitas, mahasiswa seringkali menunda belajar atau menyelesaikan tugas yang diberikan oleh dosennya inilah yang disebut dengan prokrastinasi akademik. Prokrastinasi akademik pada mahasiswa dapat berdampak pada penurunan prestasi akademiknya. Tujuan penelitian ini adalah mengetahui variabel-variabel yang menjelaskan tingkat prokrastinasi akademik pada mahasiswa, mengetahui profil mahasiswa yang mempunyai tingkat prokrastinasi akademik yang tinggi, dan mengetahui perbedaan antara kedua metode yang digunakan berdasarkan urutan variabel-variabel yang signifikan menjelaskan tingkat prokrastinasi akademik pada mahasiswa. Variabel yang diduga menjelaskan tingkat prokrastinasi akademik adalah jenis kelamin, tempat tinggal, kondisi fisik, kondisi psikologis, kondisi lingkungan, motivasi belajar, persepsi mahasiswa, dukungan sosial orang tua, dan dukungan sosial teman sebaya. Penelitian ini menggunakan metode Analisis Regresi Linier Berganda dan Classification and Regression Tree (CRT). Penelitian ini memanfaatkan data primer yaitu 660 mahasiswa FMIPA Universitas XYZ yang dipilih melalui metode purposive sampling. Hasil penelitian menyimpulkan bahwa variabel-variabel yang secara signifikan menjelaskan tingkat prokrastinasi akademik mahasiswa FMIPA Universitas XYZ adalah jenis kelamin, kondisi fisik, kondisi psikologis, motivasi belajar, persepsi mahasiswa, dukungan sosial orang tua, dan dukungan sosial teman sebaya. Profil mahasiswa yang memiliki tingkat prokrastinasi akademik yang tinggi yaitu mahasiswa dengan kondisi fisik dan kondisi psikologis yang buruk, serta dukungan sosial orang tua yang rendah. Dan juga adanya perbedaan urutan variabel-variabel yang signifikan antara metode Regresi Linier Berganda dan CRT, tetapi variabel kondisi fisik berada pada urutan pertama kedua metode tersebut. ABSTRACT Students are expected to be able to undertake their undergraduate studies satisfactorily and graduate as scheduled.  As a student, it is normal having with numerous activities outside academic routine. Consequently, students often delay studying and completing the tasks given by their lecturers. This is called academic procrastination. Academic procrastination may lead to a declining academic achievement. This study aimed to determine variables that affect academic procrastination levels, to find out the profile of students with high levels of academic procrastination, and to the difference between the two methods on the sequence of significant variables explains the level of academic procrastination of students. The variables considered to affect the level of academic procrastination include gender, living place, physical conditions, psychological conditions, environmental conditions, learning motivation, student perception, parental social support, and peer social support. The methods used are Multiple Linear Regression and Classification and Regression Tree (CRT). This study used primary data, namely 660 FMIPA students of University of XYZ obtained through purposive sampling.  The results showed that the variables that significantly affect the level of academic procrastination of FMIPA students of University of XYZ include gender, physical conditions, psychological conditions, learning motivation, student perception, parental support, and peer support. Students who demonstrate a high level of academic procrastination are characterized by poor physical and psychological conditions, as well as low parental support. In addition, there is a significant difference in the sequence of variables between the Multiple Linear Regression method and CRT, but both have one thing in common, that is, the highest variable is physical condition.
Analysis of Factors Influencing QRIS Usage in Banten, DKI Jakarta, and West Java Provinces Yekti Widyaningsih; Galih Nur Kantaatmaja
Statistika Vol. 26 No. 1 (2026): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v26i1.9826

Abstract

Abstract. Quick Response Code Indonesian Standard is a non-cash payment method developed to support the digital transformation of Indonesia’s national payment system. Through a single QR code, various digital wallet applications and mobile banking platforms can be interconnected, offering convenience in transactions for both businesses and consumers. Although various factors, such as demographic differences and user behavior, are presumed to influence QRIS usage, there has been limited research exploring these aspects in depth. Therefore, this study aims to analyze the factors that influence QRIS usage by employing the ordinal logistic regression model, focusing on both demographic attributes and smartphone usage behavior. The ordinal logistic regression is a statistical technique designed to examine the relationship between an ordinal response variable and one or more independent variables. This model is suitable for analyzing data where the dependent variable consists of ordered categories. Overall, income and smartphone type emerge as consistently significant variables across all studied regions. Users with higher income levels and those using iOS-based smartphones tend to exhibit higher levels of QRIS usage compared to other groups. Based on the k-fold cross-validation method, the ordinal logistic regression model employed in this study yields an overall accuracy rate of 65.22%. These results indicate that both demographic factors and smartphone usage behavior have a significant impact on QRIS adoption in the observed regions.
Analysis of Factors that Explain Customer Satisfaction and Its Relationship with Repurchase Intention at Fresh Food E-Commerce in Jabodetabek Post Pandemic Natania Agustin; Yekti Widyaningsih; Rianti Setiadi
Statistika Vol. 25 No. 2 (2025): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v25i2.4966

Abstract

Abstract. Consumers now have the flexibility to purchase fresh food both online and offline in the post-pandemic era. In this competitive landscape, only companies that can retain their customers are likely to survive. This study investigates the factors influencing customer satisfaction and its impact on repurchase intention in the context of fresh food e-commerce. Specifically, it examines the effects of product quality, fair price, perceived ease of use, service response speed, and service convenience on customer satisfaction, and further explores the moderating role of customer experience in the relationship between satisfaction and repurchase intention. Primary data were collected using a purposive sampling technique from 160 respondents who had purchased fresh food from Sayurbox, Segari, Allofresh, or Astro within the last six months. Data was analyzed using Partial Least Square, a non-parametric statistical technique suitable for modeling latent variable relationships without distributional assumptions. The results show that product quality, fair price, service response speed, and service convenience significantly and positively influence customer satisfaction. In contrast, perceived ease of use does not have a significant effect. Customer satisfaction has a strong positive influence on repurchase intention. However, customer experience does not significantly moderate the relationship between customer satisfaction and repurchase intention. These findings highlight the importance of maintaining product and service quality to enhance customer satisfaction and encourage repeat purchases in the fresh food e-commerce sector.
Co-Authors Abdullah, Sarini Abraham Raja Swara Darwanto Aji H. Wigena Aldinda Albanna Anis Dela Desela Antoni Wibowo Arum, Graceilla Puspita ASEP SAEFUDDIN Budiawan, Zalfa Alifah Bunga Maharani Yasmin Wibiharto Bunga Maharani Yasmin Wibiharto Cahyadi, Danu Julian Carisa Putri Salsabila Purnamasari Curie Nabilah Nasution Deandra Sakirah Putri Dewi Retno Sari Saputro, Dewi Retno Dian Lestari Dian Lestari Fahira Puti Adylla Fatsa Vidyaningtyas Sabila Galih Nur Kantaatmaja Geraldine Immanuel Tangyong Hendri Murfi Ivana, Rugun Khairil Anwar Notodiputro Melia Rizki Fitrianingrum Mohammad Zahran Pratomo Nabila Safitri Natania Agustin Natasha Latifatu Soliha Nisa, Alfia Choirun Prawira, Kevin Rafif Hibatullah Rahmawati, Aprilia Rianti Setiadi Rianti Setiadi Rianti Setiadi Rianti Setiadi Sabila, Fatsa Vidyaningtyas Setjiadi, Nerissa Netanaya Silvia Soemartojo, Saskya Mary Taza Luzia Viarindita Tjiong Giok Pin Wahyu, Nugroho Lambang Yudi Satria