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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

Author-ID : 3769712

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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Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC Nasution, Mhd Bobbi Kurniawan; Kusmanto, Kusmanto; Karim, Abdul; Esabella, Shinta
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The head of the study program is a figure who plays an important role in the progress of each study program at a university. The head of the study program has a role in the decision-making process and in carrying out managerial policies. In addition, the head of the study program is also a person who is able to ensure the creation of a conducive atmosphere in the service process to students and also the scope of work in the study program. Therefore, awarding the head of the study program based on the performance shown is a form of appreciation for the performance given by the head of the study program. The process of evaluating the performance of the head of the study program is not only an assessment of the academic field but also an assessment of the managerial. In the process of evaluating the performance of the head of the study program, a computerized tool is needed or commonly called a Decision Support System. The decision support system also has several settlement methods that are used as a reference, one of the methods that can be used is the WASPAS method. In addition to the methods used to support decisions, there are also methods that can be used for weighting each assessment criteria such as the ROC method. In this research, we will use the ROC weighting method on the assessment criteria and the process of evaluating the performance of the head of the study program using the WASPAS method. The results achieved in the research are to obtain an objective and accountable process of evaluating the performance of the study program leader. In the research that has been carried out, it is found that the Head of the Study Program who gets the reward is the Head of the Study Program with alternative A2 and the preferred value is 0.958

Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik Karim, Abdul; Esabella, Shinta; Andriani, Titi; Hidayatullah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The problems that are often faced by the campus in the management of selecting the best students which are carried out once a year in a series of graduation events are the length of the process of calculating student data which is still done manually, criteria that have not been fulfilled optimally and are still based on value calculations alone, and processing is still manual. so that errors and data errors often occur which are quite fatal, subjective selection is still a common problem in the world of education so it is necessary to select outstanding students using a system. The system used is a decision support system that has the quality and logic of a method in a selective selection process with a high level of accuracy, while the method used is the MOOSRA method which is a decision support system method that is easy to understand and systematic stages that are easy to do. The results in this study were a student named Zainal as the owner of the highest score of 0.418397, accurate, efficient and effective results in the use of a decision support system made the selection process much more reliable

Sistem Pendukung Keputusan Aplikasi Bantu Pembelajaran Matematika Menggunakan Metode EDAS Karim, Abdul; Esabella, Shinta; Hidayatullah, Muhammad; Andriani, Titi
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2494

Technological developments have occurred at this time. The rapid development of technology forces students to be wiser in using it. One of the functions of technology is to become a learning medium like a cell phone. HP, which has become an obligation for students, has given rise to ideas for experts to bring up many new applications, especially in the field of mathematics. The emergence of these various applications makes students confused to choose which one is feasible to choose. To solve this problem, a Decision Support System is needed. SPK is a computer-based system whose function is to assist parties or individuals who need it, especially in making a decision. SPK can function properly, if you use the method. The method used in Ono's research is the EDAS method. The EDAS method is a method that uses a formula or formula, where the decision is generated from positive and negative distances. Based on this study, the results were found, namely alternative A1 with the name of the application, namely QANDA with a value of 0.0767 as the highest score

Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Autoimun Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Purba, Elvitrianim
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3407

Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input

Clusterisasi Tingkat Pengangguran Terbuka Menurut Provinsi di Indonesia Menggunakan Algoritma K-Medoids Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Mardinata, Erwin
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6198

The Open Unemployment Rate (OER) in Indonesia decreased in February 2024 to 4.82%, showing an improvement compared to February 2023. Despite the decline in TPT, there are still regions with TPT reaching 7.02%, which could potentially lead to negative consequences such as increased crime. Efforts to address TPT include increasing economic growth, developing the quality of education and training. This research utilises clustering in data mining. The number of clusters formed was 3 clusters with a DBI value of -1.685. This study uses K-Medoids clustering to group 38 provinces based on TPT. Of the 38 data, there is incomplete data so preprocessing is done using the "filter example" operator in rapidminer to eliminate incomplete data so that there are 34 data that will be used in this study (after preprocessing). The results show 4 provinces with the highest TPT (Riau Islands, DKI Jakarta, West Java, and Banten) with a percentage of 11.76%.

Studi Perbandingan Metode Dempster-Shafer dan Teorema Bayes dalam Sistem Pakar Diagnosa Penyakit Sistem Pernapasan Kusmanto, Kusmanto; Esabella, Shinta; Karim, Abdul; Bobbi Kurniawan Nasution, Muhammad; Hidayatullah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7317

Respiratory system disease diagnosis often faces challenges in ensuring the accuracy of results due to the complexity of overlapping symptoms. In particular, a method is needed that is able to handle data uncertainty and utilize existing evidence optimally. This study aims to compare two methods, namely Bayes' Theorem and Dempster-Shafer, in diagnosing three types of respiratory diseases: Asthma, Tuberculosis, and Bronchitis. The solution is done by analyzing the percentage of confidence produced by each method based on symptom data. The results show that Bayes' Theorem produces the highest confidence for Tuberculosis (74.92%), while Dempster-Shafer provides the highest confidence for Bronchitis (80%). This comparison indicates that the selection of methods must be adjusted to the characteristics of the data and the needs of the analysis. This study contributes to providing insight into the advantages and disadvantages of each method, which can be used as a reference in developing a more accurate disease diagnosis decision support system.

Decision Support System for Selecting the Best Head of Study Program Using the MOORA and MOOSRA Methods Karim, Abdul; Hidayatullah, Muhammad; Kurniawan Nasution, Muhammad Bobbi; Esabella, Shinta
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8928

The Head of the Study Program is one of the most important parts of a university. The Head of the Study Program is also the highest leader within the study program structure. The role of the Head of the Study Program is as an organizational unit that is responsible for the administration of the study program they lead. The Head of the Study Program is tasked with coordinating all study program activities, as well as managing lecture schedules, practicum schedules, and lecture evaluation results. The selection of the Head of the Study Program requires precise accuracy to avoid errors in the selection process. The stability of a study program heavily depends on the role and reputation of its lecturers, especially the lecturer responsible for the core courses of that study program. Therefore, the participation of lecturers is highly necessary in the selection of the Head of the Study Program. Since the higher education management is also interested in the selection process, methodological assistance is needed to accommodate the aspirations of the lecturers and the interests of the university management. The reward system is a crucial element for motivation toward a better direction, aiming to further increase performance. This reward system is expected to encourage the performance of the Head of the Study Program to be more productive, so that the vision and mission for achieving the development of a university can be properly attained and implemented.

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

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.

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

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