Article Per Year (5 Year)
p-Index From 2021 - 2026
1.259
P-Index
This Author published in this journals
All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI BAREKENG: Jurnal Ilmu Matematika dan Terapan PROJECT (Professional Journal of English Education) Jurnal Statistika dan Matematika (Statmat) Jurnal Abdimas Sang Buana Jurnal Riset Statistika Bandung Conference Series: Statistics
Muthia Nadhira Faladiba
Prodi Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Bandung, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
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.
PELATIHAN PENGGUNAAN GOOGLE FORM DALAM PENGUMPULAN DATA STUNTING DI DESA DAYEUHKOLOT KABUPATEN SUBANG Marliana, Reny Rian; Roshafara, Fauziah; Suliadi, Suliadi; Faladiba, Muthia Nadhira
Jurnal Abdimas Sang Buana Vol 5 No 2 (2024): Jurnal Abdimas Sang Buana - November
Publisher : LPPM Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/abdimasusb.v5i2.3686

Abstract

Stunting is a significant threat to the development of future generations' quality in Indonesia, as it can hinder children's growth, reduce learning abilities, and increase the risk of chronic diseases. Therefore, stunting prevention must be carried out through monitoring, starting from the village as the frontline. Dayeuhkolot Village in Subang Regency is one of the villages in West Java Province with a relatively low stunting rate. This success is closely linked to the monitoring efforts carried out by the Human Development Cadres (KPM) in the village. One of the primary responsibilities of KPM is to report data on monitoring the prevention and reduction of stunting. However, the data reporting process still relies on conventional methods, such as paper-based records, which create difficulties in archiving, data recapitulation, and report access. To address these challenges, the utilization of information technology, in accordance with Law No. 23 of 2006, is essential. Google Forms, a user-friendly information technology tool, offers an effective solution. By using Google Forms, stunting data can be collected in real-time and accessed online by relevant stakeholders. Therefore, this community service project was conducted using a science and technology diffusion method, aiming to provide outreach and training on the use of Google Forms for collecting monitoring data on stunting prevention and reduction in Dayeuhkolot Village. The outcomes of this activity show an improvement in the participants' ability to utilize information technology, and the use of Google Forms has proven to overcome the challenges faced by conventional data collection methods.
Technology-Mediated TBLT on Student's ‎Confidence and Motivation Rosyidah, Ummu; Faladiba, Muthia Nadhira
PROJECT (Professional Journal of English Education) Vol. 8 No. 1 (2025): VOLUME 8 NUMBER 1, JANUARY 2025
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The abrupt transition to online instruction due to the COVID-19 pandemic has prompted educators to implement a wide range of innovative teaching strategies. This scenario becomes even more complex when English is taught as a supplementary subject in the first year of pharmacy programs. A primary concern in online English language instruction is how to maintain student engagement and encourage continued use of the target language. However, understanding students' learning motivation is a crucial factor in establishing a conducive environment that will motivate them to continually study English and achieve proficiency in the four language skills. This study aimed to determine whether interactive, technology-mediated task-based language teaching can enhance students' motivation and confidence and explore their perceptions of the tasks. Employing a qualitative approach, the study relied on observations and questionnaires as the primary data collection methods. The findings demonstrate that interactive, technology-mediated tasks significantly increase students' motivation and confidence for learning English. Additionally, the paper provides examples of how technology-mediated tasks can be designed to promote learners' productive use of English. Finally, the study discusses some anticipated challenges in implementing technology-mediated task-based language teaching in online instructional contexts.
BAYES ESTIMATION OF EXPONENTIALLY DISTRIBUTED SURVIVAL DATA UNDER SYMMETRIC AND ASYMMETRIC LOSS FUNCTIONS Faladiba, Muthia Nadhira; Ahdika, Atina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0973-0986

Abstract

In a research study, population data are often not available, so the population parameter is unknown. Meanwhile, knowledge about the population parameter is needed to know the characteristics of the studied population. Therefore, it is needed to estimate the parameter of the population which can be estimated by sample data. There are several methods of parameter estimation which are generally classified into classical and Bayesian method. This research studied the Bayesian parameter estimation method to determine the parameters of the exponentially distributed survival data associated with the reliability measure of the estimates under symmetric and asymmetric loss functions for complete sample data in a closed form. The symmetric loss functions used in this research are Squared Error Loss Function (SELF) and Minimum Expected Loss Function (MELF). The asymmetric loss functions used are the General Entropy Loss Function (GELF) and Linex Loss Function (LLF). Performance of some loss functions used in this research are then compared through numerical simulation to select the best loss function in determining the parameter estimation of the exponentially distributed survival data. We also studied which loss function is best for underestimation and overestimation modeling. Based on simulation results, the Bayes estimates using MELF is the best method to estimate population parameters of the exponentially distributed survival data for the overestimation modeling, while LLF is the best for the underestimation modeling. We provided direct application in a case study of fluorescence lamp survival data. The results show that the best method to estimate the parameter of the standard fluorescence life data is using LLF for underestimation with and MELF for overestimation with .
Analisis Skor Evaluasi Kebijakan Daerah tentang Kota/Kabupaten Layak Anak di Kota Sukabumi Tahun 2024 Fadhilla Amanda Fattuwarisa; Muthia Nadhira Faladiba
Jurnal Riset Statistika Volume 6, No. 1, Juli 2026, Jurnal Riset Statistika (JRS)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrs.v6i1.10029

Abstract

Abstract. The Department of Women’s Empowerment, Child Protection, and Family Planning (DP3AKB) of West Java Province plays a strategic role in administering governmental affairs related to women’s empowerment, child protection, and population and family planning control. This study aims to analyze the differences in assessment results before and after verification and to examine the relationship between these two results. The study uses data from the Regional Policy Evaluation Scores on KLA in Sukabumi City in 2024, applying a quantitative approach through descriptive analysis and inferential analysis using contingency tables (crosstab) and the Chi-Square test. The results indicate a change in the distribution of assessment levels after the verification process, reflecting differences between pre- and post-verification results. Crosstab analysis reveals shifts in several assessment categories, while the Chi-Square test shows a Pearson Chi-Square value of 81.005 with a significance level of 0.000, indicating a statistically significant relationship between the two variables. These findings demonstrate that the verification process plays an important role in improving the accuracy, consistency, and validity of evaluation results. Therefore, this study contributes as a basis for policymakers to maintain and enhance the quality of the verification process in order to achieve more objective and standardized evaluation outcomes. Abstrak. Dinas Pemberdayaan Perempuan, Perlindungan Anak, dan Keluarga Berencana (DP3AKB) Provinsi Jawa Barat memiliki peran strategis dalam penyelenggaraan urusan pemerintahan di bidang pemberdayaan perempuan, perlindungan anak, serta pengendalian penduduk dan keluarga berencana. Tujuan penelitian ini adalah untuk menganalisis perbedaan hasil penilaian sebelum dan sesudah verifikasi serta menguji hubungan antara kedua hasil penilaian tersebut. Penelitian ini menggunakan data Skor Evaluasi Kebijakan Daerah tentang KLA di Kota Sukabumi Tahun 2024 dengan metode kuantitatif melalui analisis deskriptif dan analisis inferensial menggunakan tabel kontingensi (crosstab) serta uji Chi-Square. Hasil penelitian menunjukkan adanya perubahan distribusi pada level penilaian setelah proses verifikasi, yang mengindikasikan perbedaan hasil sebelum dan sesudah verifikasi. Analisis crosstab memperlihatkan adanya pergeseran kategori penilaian, sedangkan hasil uji Chi-Square menunjukkan nilai Pearson Chi-Square sebesar 81.005 dengan signifikansi 0.000, yang berarti terdapat hubungan yang signifikan antara kedua variabel. Temuan ini menunjukkan bahwa proses verifikasi memiliki peran penting dalam meningkatkan keakuratan, konsistensi, serta validitas hasil evaluasi. Oleh karena itu, penelitian ini memberikan kontribusi sebagai dasar pertimbangan bagi pemangku kebijakan dalam mempertahankan dan meningkatkan kualitas proses verifikasi guna menghasilkan evaluasi yang lebih objektif dan sesuai standar.
Co-Authors Andhika Sidiq Firmansyah Fadhilla Amanda Fattuwarisa Fauziah Roshafara Ilham Faishal Mahdy Indah Siti Rahmawati Reny Rian Marliana Rifai, Nur Azizah Komara Rizqi Haryastuti Rosyidah, Ummu Suliadi Suliadi Tarisyah