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All Journal Nuansa Informatika JPSE (Journal of Physical Science and Engineering) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) PERFORMA : Media Ilmiah Teknik Industri MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Kilat JURIKOM (Jurnal Riset Komputer) Jurnal TAMBORA MULTINETICS Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Abdi Insani JIIP (Jurnal Ilmiah Ilmu Pendidikan) Bima Abdi: Jurnal Pengabdian Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) Brilliance: Research of Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Digital Transformation Technology (Digitech) Buletin Ilmiah Informatika Teknologi Hexagon Jurnal Pengabdian Rekayasa Sistem Jurnal Riset Kajian Teknologi dan Lingkungan Management of Information System Journal Jurnal Gemilang Informatika (GIT)
Shinta Esabella
Universitas Teknologi Sumbawa
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Comparison of Random Forest and XGBoost Methods Based on Hyperparameter Tuning for Classification of Customer Churn Rate of Telecommunication Providers Abdul Karim; Muhammad Hidayatullah; Nora Dery Sofya; Erwin Mardinata; Shinta Esabella
Building of Informatics, Technology and Science (BITS) Vol 8 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v8i1.9918

Abstract

Customer churn represents one of the most critical challenges in the telecommunications industry, as the cost of acquiring new customers significantly outweighs the expense of retaining existing ones. High churn rates directly impact corporate revenue stability and market competitiveness, necessitating the development of precise predictive systems. This study presents a comprehensive comparative analysis of two prominent ensemble learning algorithms, Random Forest (RF) and Extreme Gradient Boosting (XGBoost), to establish a robust predictive framework for identifying potential churners using a large-scale Telco subscriber dataset. To ensure the reliability and scientific validity of the comparison, the research methodology incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to rigorously address the inherent class imbalance within the dataset, ensuring that the minority churn class is adequately represented during the training phase to avoid model bias. Furthermore, a systematic hyperparameter tuning process was executed via GridSearchCV, exploring multiple combinations of estimators, depth, and learning rates to identify the optimal configurations for both algorithms. The experimental results reveal that while both models are highly effective, Random Forest slightly outperformed XGBoost, achieving an overall accuracy of 77.54% and a balanced F1-score of 0.616, compared to XGBoost’s accuracy of 76.54% and F1-score of 0.605. Notably, although both models demonstrated an identical recall rate of 67.64%, Random Forest exhibited superior precision (56.47% vs. 54.76%), which is vital for minimizing false positives and ensuring cost-effective retention campaigns. Feature importance analysis, conducted through Gini impurity and gain metrics, further identified tenure, total charges, and month-to-month contract types as the primary drivers of customer attrition. This study concludes that an optimized Random Forest model provides a more stable and accurate framework for telecommunication providers to proactively mitigate customer turnover. The findings offer valuable business intelligence, allowing stakeholders to transition from reactive measures to proactive, data-driven loyalty programs that enhance long-term business sustainability.
Media Pembelajaran Syariat Islam Pada Anak Usia Dini Berbasis Android Ghifron Akhiru Syahroni; Shinta Esabella; Eri Sasmita Susanto
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.791

Abstract

Limited facilities and low learning media infrastructure are two of the causes of the low quality of Indonesian education. This applies to children at TPQ Al-Ikhsan Dusun Boak Dalam, where learning methods still use books and whiteboards, which are relatively boring for children, and some material is still very difficult to understand. This disrupts the learning process. Then a solution is needed to answer this problem, namely by having an Android-based learning media application that includes Islamic law material for children. This study aims to develop an Android-based application that is specifically designed for learning media for Islamic law in early childhood at TPQ Al-Ikhsan Dusun Boak Dalam so that it makes it easier for children to understand learning material. The resultstugas of this study are in the form of an Android-based prototype of Islamic Shari'a learning media applications in early childhood that can help children understand learning material.
Sumbawa University Of Technology Infomatrix : Enhancing University Engagement Through An Intelligent Chatbot System David T. Ndomaina; Shinta Esabella; I Made Widiarta; Nora Dery Sofya
Bulletin of Information Technology (BIT) Vol 5 No 1: Maret 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i1.1125

Abstract

The aim of this research is to design and implement the chatbot system "Universitas Teknologi Sumbawa Infomatrix", which by utilizing the capabilities of Artificial Intelligence (AI) and Natural Language Processing (NLP) produces an interactive and efficient platform for students, facilitating access to comprehensive information about the university and helping makes it easier for students to get the right information to support their academic process on campus. Built web-based chatbot application, developed using the PHP programming language with the Laravel framework, integrated with a MySQL database, and utilizing Dialogflow cloud integration for machine and user conversation chat systems. This research methodology follows Angie Method and in system design, uses a structured design method that combines Context Diagrams, Data Flow Diagram (DFD), and Entity Relationship Diagram (ERD). The system testing uses a beta testing approach. With the presence of this Institutional Chatbot Application, it can make it easier for students to obtain UTS university data and information and become an effort to increase involvement at Sumbawa University of Technology through AI-based interactions.
Manajemen Pengelolaan Data pada Harmony Fitness Center Berbasis Web Iksan Adiasa; Shinta Esabella; Anna Sayuni
Performa: Media Ilmiah Teknik Industri Vol 19, No 2 (2020): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.19.2.44830

Abstract

Harmony Fitness Center Sumbawa merupakan salah satu tempat fitness yang berdiri pada tahun 2019. Usaha ini bergerak di bidang olahraga untuk kesehatan dan kebugaran. Namun dalam melakukan pengelolaan data pada Harmony Fitness Center Sumbawa sendiri masih dilakukan secara manual yaitu dengan mencatat semua data menggunakan buku. Hal ini menjadikan pengelola fitness kesulitan dalam mengelola data yang setiap waktunya data tersebut selalu bertambah. Solusi dari permasalahan yang sedang terjadi adalah membangun sistem yang memudahkan pengelola dalam melakukan proses pengelolaan data yang ada. Maka dari itu tujuan dari penelitian ini adalah merancang dan membangun Manajemen Pengelolaan Data Pada Harmony Fitness Center Sumbawa Berbasis Web. Sistem ini dikembangkan menggunakan penelitian kualitatif dan dibangun menggunakan bahasa pemrogramman PHP dengan menggunakan MySql sebagai database. Metode yang digunakan dalam membangun aplikasi ini adalah menggunakan metode Prototype. Sistem atau aplikasi ini diharapkan dapat mempermudah dan mempercepat proses pengelolaan data pada Harmony Fitness Center Sumbawa.
Co-Authors Abdul Karim Abdul Rahman Adnia Tujahidah Adriani Tamo Ina Talu Ahmad Juliansyah Ahmadiar Ahmadiar Aldrin Aldy Aldy, Aldy Alia Wartiningsih Alsepianingsih, Feti Andi Ernawati Andriani, Titi Anna Sayuni Aprianti, Ade Lilis Arbain Ardiansyah Putra Ardiansyah Putra Aries ZA, Muhammad Aryanto, Nova Aswin Try Juniarta Athifah Muthi’ah Atmawan Oktavia, Siska Aulia, Masyitah Awaliah, Rita Azzahratun Jannah, Linda Azzam, Muhammad R. Bayu Fajar Pratama Bobbi Kurniawan Nasution, Muhammad Brenny Prasetyo Waty Cece Listiana Umbara Chairul Hudaya Darmawan, Indra David T. Ndomaina Deby Monalisa Simanjuntak Delia, Khofifah Desi Maulidyawati Desiana Puspita Desyanti - Desyanti Doddy Teguh Yuwono E, Ekastini Ekastini Ekastini Elly Karmeli Eri Sasmita Susanto Erwin Mardinata Erwin Mardinata Eva Rahmiati Evi Nurmala Fahliyah Diani Fahmi Yuliono Fahri Hamdani Farida Idifitriani Fatihhurroyyan Fatihurroyyan Fauzi Widyawati Fithriati Fitriana, Yasinta Bella G. Gunawan Ghifron Akhiru Syahroni Gunawan Habib Shibghatallah Halid Nuryadi Hanif Fauzan Ramadhan Harri Gunawan Haryati Haryati Hasanuddin Hermanto, Koko Hidayatullah, Muhammad Hilmy Adrizul Rifqi Hidayat Houri Sobirin Hudaya, Chairul I Made Widiarta I Made Widiarta I Made Widiarta Idifitriani, Farida Ika Gita Listiana Iksan Adiasa Ilmiah, Zaddwi Jiwa Imanura Bagaskara, Kukuh Indah Putrianti Iskandar Fitri Ismi Mashabai Jaya, Ahmad Jonathan Afriliansyah Jonathan Afriliansyah Juanda Hakim Lubis Julianingsih Juliansyah, Ahmad Julkarnain, M. Juniardi Akhir Putra Kahlil Muchtar Kantari, Yuliana Tissya Karisma, Yana Kiki Rizki Kurniawan Nasution, Muhammad Bobbi Kusmanto Kusmanto Kusmanto Liska Della Erlanda M. Julkarnain M.Julkarnain Mardinata, Erwin Maria Dissriany Vista Banggur Mesran, Mesran Mhd Ali Hanafiah Mhd Alwi Syaputra Pulungan Miftahul Haq Muh NurHidayatullah Muhammad Aries ZA Muhammad Aries Zuhri Angkasa Muhammad Bobbi Kurniawan Nasution Muhammad Faqih Al Faruq Muhammad Fauzi Muhammad Hidayatullah Muhammad Hidayatullah Muhammad Hudzaifah Asy Syidiq Muhammad R. Azzam Muhammad Rifqi Fawzan Muhammad Saleh Muhammad Syukur Mulyanto, Yudi Nasution, Mhd Bobbi Kurniawan Nawassyarif Neva Nurliana Nikmata Sari Nilam Nisa, Haerun Nora Dery Sofya Ismail Nuryadi, Halid Paris Ali Topan Purba, Elvitrianim Rahmadin, Aku Nur Reski, Tri Reza Sangga Rasefta Rizka Irjiba Robban, Farisan Rodianto, Rodianto Rudi Masniadi Sobirin, Houri Sofya, Nora Dery Sri Lis Apriliani Surya, Rizky Andika Suryadi, Sudi Susainanda, Riki Susilawati, Tri Syahidah, Khaula Teguh Hamdala Tirta, Andy Titi Andriani Topan, Paris Ali Uswatun Hasanah W, Yunanri Warda Wulandari Wartiningsih, Alia Wayan Satru Widiantara, Putu Widiantara Widiarta, I Made Widiya Lis Susana Winda Aryani Wiryatari, Dimas Yanti, Sahri Yasinta Bella Fitriana Yayang Hafifah Yuliadi Yuliadi Yuliadi Yuliadi Yuliadi Yuliadi Yunanri Yunanri W Yunanri. W