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All Journal International Journal of Electrical and Computer Engineering Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Sistem dan Informatika Journal of Information Systems Engineering and Business Intelligence Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Eksplora Informatika Jurnal Abdi Insani JUKI : Jurnal Komputer dan Informatika Jurnal Abdidas Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) Jurnal Locus Penelitian dan Pengabdian Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Kohesi: Jurnal Sains dan Teknologi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat Nasional IPSSJ INOVTEK Polbeng - Seri Informatika
Fatonah, Nenden Siti
Esa Unggul University
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Evaluasi dan Optimasi Kinerja MySQL Master-Slave dengan Metode Kuantitatif pada Database Pemohon Tes Psikologi SIM PT XYZ pada POLDA METRO JAYA Haryoto, Iin Sahuri; Firmansyah, Gerry; Tjahjono, Budi; Widodo, Agung Mulyo; Akbar, Habibullah; Fatonah, Nenden Siti
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 9 (2025): : JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i9.4685

Abstract

The development of information technology and cloud computing has enabled organizations to manage large-scale data efficiently. PT XYZ, which is engaged in psychological testing for Driving Licenses (SIM), uses a web-based system with a MySQL database that has implemented master-slave replication. However, as the data volume increases to 4,000-5,000 entries per day, the system experiences performance constraints, especially in the speed of read and write queries. This study aims to optimize the performance of the MySQL database by adjusting the server configuration and specifications to improve system efficiency. The test results show that server specification settings, including processor speed, memory size, and replication configuration, play an important role in improving system performance. By adjusting the master and slave server configurations, the system shows a significant increase in database response time and operational efficiency. This optimization is expected to be a reference in the implementation and management of large-scale databases using MySQL replication.
Aplikasi Analisis Sentimen Isu Kesehatan di Media Sosial dengan Metode Convolutional Neural Network Berbasis Web Hermawati, Fajar Astuti; Fatonah, Nenden Siti; Mangambali, Hermawan Ali
Eksplora Informatika Vol 12 No 2 (2023): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v12i2.1012

Abstract

Media sosial telah mengalami pertumbuhan pesat di berbagai sektor, termasuk bidang medis. Pengguna aktif berpartisipasi aktif dalam komunitas kesehatan, berbagi informasi dan pengalaman. Akses terhadap media sosial telah menjadi sarana utama untuk mencari informasi kesehatan. Platform media sosial populer yang digunakan untuk tujuan ini termasuk WhatsApp, Facebook, Instagram, Youtube, dan Twitter. Media sosial juga memungkinkan penggunanya untuk mengungkapkan pendapatnya melalui postingan dan komentar. Analisis sentimen diperlukan untuk memahami opini pengguna. Tahap awal melibatkan pengumpulan data dari platform media sosial seperti Facebook, dengan fokus pada postingan terkait tagar penyakit. Selanjutnya, teks tersebut mengalami pra-pemrosesan yang bertujuan untuk membersihkan, memformat, dan menata teks untuk dianalisis. Pada penelitian ini hasil pengujian menggunakan algoritma Convolutional Neural Network memperoleh performa akurasi 77% untuk distribusi dataset 80:20.
Churn Prediction Analysis Of Customer Ferry Operator "Batamfast" Using Machine Learn-Ing With Supervised Classification Model Pamungkas, Ryan Tri; Fatonah, Nenden Siti; Firmansyah, Gerry; Tjahjono, Budi
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1669

Abstract

BatamFast is the first ferry operator in Batam and has been serving international routes to Singapore and Malaysia since 1985. Until 2010, BatamFast was the only ferry operator in Batam. However, since 2011, competitors such as Sindo Ferry, Horizon Ferry, and Majestic have emerged, increasing competition to four ferry operators in Batam by 2024. This study aims to measure the churn rate of BatamFast customers and identify the factors causing it using machine learning prediction models such as Random Forest, XGBoost, and Gradient Boosting. In addition to churn prediction, feature importance analysis was conducted to determine the significant features influencing customer decisions. The results indicate that XGBoost is the best model compared to Random Forest and Gradient Boosting. Key factors for churn are customer category, payment method, and booking mode. These findings are expected to help BatamFast reduce churn, improve customer satisfaction, and strengthen its competitive position in the international ferry market.
Predicting Technical Intern Training Program Trainee Success: A Comparative Machine Learning Analysis For Risk Mitigation Maulana, Syaban; Fatonah, Nenden Siti; Firmansyah, Gerry; Widodo, Agung Mulyo
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1r93bf26

Abstract

Japan's demographic crisis has increased demand for the Technical Intern Training Program (TITP). However, for Sending Organizations (SOs) in Indonesia, this process carries high financial risk due to an upfront talent funding scheme, where significant costs (up to IDR 35,000,000) are paid in advance. Trainee failure (dropouts or runaways) leads to substantial bad debt. This research aims to develop and validate a robust machine learning model for risk mitigation. We compare XGBoost and Random Forest on a dataset of 784 historical trainee records, characterized by extreme class imbalance (75.5% majority class). To address prior methodological weaknesses and prevent data leakage, we implement a 10-fold stratified cross-validation pipeline incorporating StandardScaler and SMOTE. The results show XGBoost (mean macro F1-Score: 0.5470 ± 0.15) significantly outperforms Random Forest (mean macro F1: 0.5098 ± 0.15), which is confirmed as statistically significant (p=0.0384) by a paired t-test. Furthermore, SMOTE is validated as a superior imbalance strategy compared to class_weight (p=0.0076). SHAP analysis identified 'contract duration' and lifestyle factors (e.g., 'alcohol consumption') as key predictors. The final model effectively predicts 'Runaway' cases (F1=0.533) but struggles with 'Training Dropouts' (F1=0.170), indicating a key limitation and a need for temporal features in future work.
Perbandingan Metode Klasifikasi serta Analisis Faktor Akademis Pola Kelulusan Mahasiswa di Perguruan Tinggi Putri, Rani Aprillya; Fatonah, Nenden Siti
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3082

Abstract

Perkembangan Teknologi informasi di berbagai bidang diikuti dengan berkembangnya data. Pangkalan data yang menyimpan data pengelolaan pelaksanaan pendidikan tinggi dari seluruh perguruan tinggi yang terintegrasi secara nasional yaitu PDDIKTI. Data Mining merupakan proses penggalian data dari kumpulan database yang berjumlah besar yang digunakan untuk mendapatkan pengetahuan berupa informasi penting dan bermanfaat. Dalam penelitian ini penulis menerapkan penggunaan data mining untuk mengetahui klasifikasi pola akademik kelulusan mahasiswa. Pada penelitian ini penulis akan membandingkan metode klasifikasi Decision Tree, Ensemble Learning (Bagging and Boosting), mengetahui faktor yang paling berpengaruh terhadap kelulusan serta Analisis data pola akademik mahasiswa. Hasil pengujian klasifikasi data kelulusan mahasiswa dengan hasil akurasi terbaik adalah metode algoritma Ensemble Learning Bagging atau Random Forest dengan melakukan cross validation dan hyperparameter tuning (Grid Search CV) dengan akurasi 96.1%. Penggunaan cross validation dan hyperparameter tuning terbukti dapat mempengaruhi dan mengoptimalkan akurasi learning. Faktor yang paling mempengaruhi pola kelulusan mahasiswa adalah jumlah SKS semester 5, Angkatan, Indeks Prestasi, Program Kelas dan Total Cuti.
Data Interoperability Model in Integrated Public Service Applications Based on Government Service Bus (Case Study: Tangerang Regency Communication and Information Office) Fathan Ali, Dudy; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.877

Abstract

The Tangerang Regency Government, as part of its digital transformation efforts, has been working to enhance public services through the development and implementation of e-Government initiatives. This research aims to conduct an in-depth analysis of data interoperability service modeling in e-Government applications based on Web Services using the Government Service Bus (GSB). The study will address the advantages and challenges associated with using the Government Service Bus, and provide practical recommendations for implementing the Government Service Bus as an effective application integration solution. COBIT 2019 is used as an assessment tool for the current condition. The research results reveal that a total of 138 applications have been identified, with 74 of them being public service applications. While 80% of the public service sector has been incorporated into integrated public service applications, their utilization remains limited. The current capability level of APO11 is at level 1, with an expected level of 2. Similarly, APO14 is at level 1, expected to reach level 2, and MEA01 is at level 0, with an expected level of 2. The author has proposed a data interoperability model that can be implemented within the Tangerang Regency Communication and Information Office, utilizing GSB as the middleware for interoperability processes, particularly for public service applications. Based on the proposed data interoperability model, the author also concludes that with its implementation, the Communication and Information Office will be able to address a significant portion of the technical recommendations derived from the gap analysis, although not necessarily all of them.
Disaster Recovery Plan Analysis Based on the NIST SP 800-34 Framework (Case Study: PT Wijaya Karya (Persero) Tbk.) Dwi Pamungkas, Eric; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.879

Abstract

PT Wijaya Karya (Persero) Tbk. (WIKA) is a state-owned company engaged in the construction sector and EPC is currently developing its business in the mining and investment sectors both at home and abroad. Information Technology is one of the supports to achieve its goals. The use of Information Technology is urgently needed by WIKA in order to increase the effectiveness and efficiency of the company's operational activities. In this regard, it is necessary to develop procedures for managing information technology resources to support WIKA's business continuity, which includes services for internal or external users. In the use of information technology, the Disaster Recovery Plan (DRP) is an important part of IT services in efforts to prevent Data Center Fail-Over caused by disasters. With the DRP procedure, it is expected that the Information Systems Bureau as the manager of WIKA's information technology can immediately anticipate if a Disturbance or Disaster occurs that has the potential to disrupt a large number (the majority) of processes or activities that are very critical for business continuity. This Disaster Recovery Plan is guided by the NIST SP 800-34 framework which begins with identifying and assessing risk, Business Impact Analysis (BIA), identification of preventive controls and preparation of contingency strategies.
Journal Series on Governance and Management of IT in Electronic-Based Government Systems (SPBE) in Indonesia Asianto, Andriyanti; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.880

Abstract

SPBE Governance and Management is a framework that guarantees the implementation of regulation, direction and control in the implementation of SPBE in an integrated manner. SPBE Governance and Management aims to ensure that SPBE elements consist of the National SPBE Master Plan, SPBE Architecture, SPBE Roadmap, SPBE Program Plan and Budget, Business Process, Data and Information, SPBE Infrastructure, SPBE Application, SPBE Security, and Services SPBE. to achieve SPBE goals. In implementing all SPBE elements, integration and harmonization between the National SPBE and Regional SPBE are required. Therefore, this thesis research raises SPBE Governance and Management in accordance with COBIT 2019 as a governance framework that is set globally. Thus, this research will provide recommendations for the implementation of SPBE in Indonesia which can provide appropriate benefits for SPBE users, namely the community, business actors, civil servants, and other government agencies, and have detailed objectives and activities in accordance with COBIT 2019.
Analysis of Tuberculosis Disease Case Growth From Medical Record Data, Viewed Through Clustering Algorithms (Case Study: Islamic Hospital Bogor) Dodo, La; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.884

Abstract

Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis infection. Tuberculosis can spread from one person to another through airborne transmission. This disease is most commonly found in the Asian region. Currently, Indonesia ranks second after India in terms of tuberculosis cases. The discovery of tuberculosis cases by province in Indonesia reveals that West Java Province is one of the contributors to the highest tuberculosis cases. It is known that the tuberculosis case rate in Bogor Regency is one of the highest in West Java. This serves as the foundation for the focus of this research, which will be conducted at Islamic Hospital Bogor, to determine the average age and gender of patients who are more susceptible to tuberculosis. One way to understand the growth of tuberculosis cases is through clustering using Data Mining Techniques, specifically several clustering algorithms such as k-means clustering, fuzzy c-means, and Gaussian mixture. These techniques aim to identify the growth of tuberculosis cases based on age range and gender. Therefore, the research results are expected to provide new insights, which could be valuable for decision-makers in various capacities, such as preventive measures, healthcare facility provision, and medication considerations.
Strategic Information System Planning at RSUD Berkah Pandeglang Using the EAP (Enterprise Architecture Planning) Method Aulia, Anisa; Fatonah, Nenden Siti; Firmansyah, Gerry; Widodo, Agung Mulyono
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.885

Abstract

The intense competition in business development requires enterprises to innovate to assist in their business processes. One way to achieve success in innovation is by planning information systems and information technology that can meet business needs and align with current developments, using the Enterprise Architecture Planning (EAP) method. The results of the strategic information system planning include data architecture, application architecture, and network architecture. This research has produced a strategic planning document that can be used by RSUD BERKAH PANDEGLANG. This document contains data architecture, application architecture, and technology architecture.
Co-Authors Agustin, Yolanda Akbar, Habibullah Alvin Rayhan Arya Bintang Setiawan Asianto, Andriyanti Aulia, Anisa Bambang Jokonowo Budi Tjahjono Chastine Fatichah Dandy Pramana Hostiadi Diah Aryani Diah Aryani, Diah Dodo, La Dwi Pamungkas, Eric Emelia Akashah Patah Akhir Eva Hariyanti Fajar Astuti Hermawati Farhana, Sajida Fathan Ali, Dudy Gajah, Sulastri Gerry Firmansyah Handayani Tjandrasa Hani Dewi Ariessanti Haryoto, Iin Sahuri Irene Realyta Halldy Trosi Tangkawarow KHOIRUL ANAM Kusuma, Galih Adhi Leodionis Mangambali, Hermawan Ali Maulana, Syaban Mohammad Yazdi Pusadan Nila Rusiardi Jayanti Noviandi Noviandi Noviandi Noviandi, Noviandi Pamungkas, Ryan Tri Putri, Rani Aprillya Rahmawati, Wina Rosnanto, Imam Rosya, Ernalinda Sari, Yunita Maulidia Sarima Lumbansiantar Saruni Dwiasnati Sea, Rona Aulia Wangsa Setiaji, Willian Rossa Suhendry, Mohammad Roffi Syahrizal Dwi Putra Widodo, Agung Mulyo Widodo, Agung Mulyono Yusvita, Ferdania