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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Statistika dan Matematika (Statmat) Bandung Conference Series: Statistics
Muthia Nadhira Faladiba
Universitas Islam Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Other

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CHURN ANALISIS PADA DATA PELANGGAN TELEKOMUNIKASI MENGGUNAKAN ENSEMBLE LEARNING Muthia Nadhira Faladiba; Rizqi Haryastuti
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.31934

Abstract

Intense competition in broadband services will create high opportunities for consumers to switch providers, such as conditions that arise in competition for SMS, telephone, and internet services. The churn rate is the percentage of consumers who stop subscribing to the service. Ideally, this churn percentage is only 5% – 10%, and if it exceeds this figure, it indicates the company's inability to retain customers. A high churn rate indicates a decline in the cellular operator's market share and affects the company's revenue. Based on these problems, it is necessary to analyze the churn behavior of broadband subscribers to determine the dissatisfaction factors of cellular telecommunications consumers. Then predictions are made for customers who tend to churn from provider companies and determine the characteristics of churn and stay customers. The ensemble method is used to detect churn, which consists of several methods, including random forest, boosting, and super learner. Random Forest is proven to produce the best classification method with an excellent ability to predict customer churn, which is 80.1%, with an average usage time of 3 years.
Classification of Unisba Students' Graduation Time using Support Vector Machine Optimized with Grid Search Algorithm Ilham Faishal Mahdy; Muthia Nadhira Faladiba; Nur Azizah Komara Rifai; Indah Siti Rahmawati; Andhika Sidiq Firmansyah
Jurnal Matematika, Statistika dan Komputasi Vol. 21 No. 1 (2024): SEPTEMBER 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v21i1.36257

Abstract

Support Vector Machine is a classification method that finds the optimal hyperplane to separate two data classes. SVM has much better generalization performance than other methods. However, SVM needs to improve in determining hyperparameter values. Therefore, parameter optimization is necessary to determine the optimal hyperparameter value. Grid search is one of the parameter optimization methods that can improve the quality of SVM models. This study aims to assess the level of accuracy in predicting student graduation times by using five features that affect it. This study shows that the resulting SVM model optimized with the Grid Search Algorithm is quite consistent and prevents overfitting. By utilizing the results of SVM modelling, UNISBA is expected to improve the quality of graduates. The risk of delays in graduation can be considered early by paying attention to the background and achievements of students
Analisis Pengaruh Belajar tentang Pembelajaran, Dukungan Psikologis, dan Metode Pembelajaran terhadap Kualitas Pembelajaran SMK di Provinsi DKI Jakarta pada Tahun 2023 Tarisyah; Muthia Nadhira Faladiba
Bandung Conference Series: Statistics Vol. 4 No. 2 (2024): Bandung Conference Series: Statistics
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v4i2.13230

Abstract

Abstract. Education is one of the things that is highly considered by the Indonesian government at all levels, including at the Vocational High School (SMK) level. Judging from data from the Ministry of Education, Culture, Research and Technology, the quality of learning at Vocational High Schools in DKI Jakarta Province often fluctuates. This can be influenced by various factors experienced by various Vocational High Schools in DKI Jakarta Province, such as learning objectives, teachers, students, facilities and infrastructure, learning activities, environment, evaluation materials and tools, evaluation atmosphere, learning about learning, psychological support, and learning methods. One way to find out the factors that influence and are related to the quality of learning in Vocational High Schools in DKI Jakarta Province is to use multiple linear regression analysis so as to produce a regression model that can be used to describe the relationship between factors that affect the quality of learning in all vocational high schools in DKI Jakarta Province in 2023. This study aims to analyze and see how learning about learning, psychological conditions, and learning methods affect the quality of learning in DKI Jakarta Province in 2023. The results of this study show that the three factors affect the quality of learning but the magnitude of the influence of each factor is different. The factor that has the greatest influence is the learning method with the largest Standardized Coefficient Beta value of 0.616. With the estimated model that is Y^ = -12,309 + 0,149X1 + 0,333X2 + 0,618X3. Abstrak. Pendidikan merupakan salah satu hal yang sangat diperhatikan oleh pemerintah Indonesia di segala jenjang, termasuk pada jenjang Sekolah Menengah Kejuruan (SMK). Dilihat dari data Kementrian Pendidikan, Kebudayaan, Riset, dan Teknologi, kualitas pembelajaran Sekolah Menengah Kejuruan di Provinsi DKI Jakarta seringkali mengalami fluktuasi. Hal tersebut dapat dipengaruhi oleh berbagai faktor yang dialami oleh berbagai Sekolah Menengah Kejuruan di Provinsi DKI Jakarta, seperti tujuan pembelajaran, guru, siswa, sarana dan prasarana, kegiatan pembelajaran, lingkungan, bahan dan alat evaluasi, suasana evaluasi, belajar tentang pembelajaran, dukungan psikologis, dan metode pembelajaran. Salah satu cara untuk mengetahui faktor yang mempengaruhi dan berkaitan dengan kualitas pembelajaran Sekolah Menengah Kejuruan di Provinsi DKI Jakarta yaitu dengan menggunakan analisis regresi linier berganda sehingga menghasilkan model regresi yang dapat digunakan untuk menggambarkan keterkaitan antara faktor-faktor yang mempengaruhi kualitas pembelajaran di seluruh SMK di Provinsi DKI Jakarta pada tahun 2023. Penelitian ini bertujuan untuk menganalisis dan melihat bagaimana pengaruh belajar tentang pembelajaran, kondisi psikologis, dan metode pembelajaran terhadap kualitas pembelajaran di Provinsi DKI Jakarta pada tahun 2023. Hasil penelitian ini menunjukkan bahwa ketiga faktor tersebut mempengaruhi kualitas pembelajaran tetapi besarnya pengaruh dari setiap faktornya berbeda. Faktor yang mempunyai pengaruh terbesar adalah metode pembelajaran dengan nilai Standardized Coefficient Beta paling besasr yaitu 0,616. Dengan estimasi model yaitu Y^ = -12,309 + 0,149X1 + 0,333X2 + 0,618X3.
Co-Authors Andhika Sidiq Firmansyah Ilham Faishal Mahdy Indah Siti Rahmawati Nur Azizah Komara Rifai Rizqi Haryastuti Tarisyah