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All Journal VISIKES Elkom: Jurnal Elektronika dan Komputer Jurnal Transformatika JUSIFO : Jurnal Sistem Informasi Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Dedicators Community Jiko (Jurnal Informatika dan komputer) Comvice : Journal of community service Jurnal Sistem Informasi Kaputama (JSIK) Journal of Technopreneurship and Information System (JTIS) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Berdaya Mandiri Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknik Informatika (JUTIF) Community Empowerment Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Walisongo Journal of Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) JAST GANESHA: Jurnal Pengabdian Masyarakat International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) J-Intech (Journal of Information and Technology) Buletin Sistem Informasi dan Teknologi Islam Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Teknik Mesin, Industri, Elektro dan Informatika J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Adijaya Multidisiplin JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Jurnal Penelitian Sistem Informasi JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Ilmiah Research Student Jurnal Sains Student Research Nusantara Journal of Multidisciplinary Science Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL ILMIAH PENELITIAN MAHASISWA Prosiding Seminar Nasional Unimus Scientific Journal of Informatics SWAGATI: Journal of Community Service E-Amal: Jurnal Pengabdian Kepada Masyarakat Router : Jurnal Teknik Informatika dan Terapan Modem : Jurnal Informatika dan Sains Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Router : Jurnal Teknik Informatika dan Terapan Journal of Information Technology Jurnal Informatika Jurnal Pendidikan dan Keguruan Jurnal Salome (Multidisipliner Keilmuan)
Bambang Agus Herlambang, Bambang
Universitas PGRI Semarang, Indonesia
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Journal : journal of applied informatics and computing

 1 
Random Forest Algorithm for Toddler Nutritional Status Classification Website Fatmawati, Maylia; Herlambang, Bambang Agus; Nada, Noora Qotrun
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8463

Abstract

Accurate data processing is essential for classifying toddler nutritional status on a website platform. The Random Forest algorithm is particularly effective in this context due to its ability to manage large datasets and mitigate overfitting. This study leverages Flask as the web framework to ensure responsiveness and adaptability, optimizing the data processing experience for users. Using secondary data comprising 120,999 records, the research aims to answer: "What factors affect the accuracy of the Random Forest model in classifying toddler nutritional status?" Model evaluation yielded excellent performance metrics, with accuracy, precision, recall, and F1-score values of 99.91%, 100%, 100%, and 100%, respectively. These results highlight the informative attributes in the dataset, such as age, gender, and height, that enhance classification accuracy. The Flask-based website enables users, such as healthcare professionals and policymakers, to input essential data points and receive instant classification results, thereby supporting prompt and informed responses to nutritional health issues. This study confirms that the Random Forest algorithm, combined with an intuitive web interface, effectively classifies toddler nutritional status with high accuracy.
Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm Adrianto, Syahrul; Agus Herlambang, Bambang; Renaldy, Ramadhan
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9358

Abstract

Good, accurate and secure data management is certainly one of the main needs for companies that provide public services. This research aims to develop a web application-based information system to manage customer water meter data at a regional water company in Semarang. This system was built using the RESTful API architecture using the PHP programming language framework, namely Laravel and the development of web page displays using the Javascripts framework. The data used is the original database managed by the company every month which is managed using a database management system by meter reader officers. To increase the security of customer data, a cryptographic algorithm is used, namely the Advanced Encryption Standard (AES) algorithm with a 256-bit key length to secure data that is considered sensitive and contains high privacy. This system is intended for meter readers to update customer water meter data per month in an efficient and structured manner. This research uses a Research and Development (R&D) based software development method with system testing using black-box testing method to ensure application functionality and data exposure testing method to ensure data security in the database. The test results show that the system successfully manages customer water meter data in realtime per data sent and secures customer data.
Optimizing Support Vector Machine (SVM) for Sentiment Analysis of Blu by BCA Reviews with Chi-Square Widodo, Aldi; Herlambang, Bambang Agus; Renaldy, Ramadhan
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10541

Abstract

One of the products resulting from the development of financial technology is the blu by BCA application. This app can be downloaded by BCA bank users via the Google Play Store and has received various user responses in the form of reviews. Analyzing these user reviews can serve as a valuable reference for further development and decision-making by BCA regarding the blu app. Sentiment analysis is conducted using the Support Vector Machine (SVM) algorithm, with SMOTE and TF-IDF techniques, and feature selection via Chi-Square. Sentiment classification using the SVM algorithm and feature selection has produced various outcomes in previous studies. Therefore, further research is necessary to analyze reviews of the blu application. This study aims to optimize the SVM method in analyzing user sentiment on the blu by BCA application by applying Chi-Square feature selection to improve sentiment classification performance. The research method includes the following stages: scraping, preprocessing, labeling, TF-IDF transformation, Chi-Square feature selection, SMOTE, data splitting, data mining, and evaluation. The testing results show that the RBF kernel achieved the highest performance with an accuracy of 0.8623, precision of 0.8623, recall of 0.8623, and F1-score of 0.8623. After applying Chi-Square feature selection, the accuracy improved to 0.8726, with precision of 0.8747, recall of 0.8725, and F1-score of 0.8723. This optimization successfully increased the accuracy by 0.0103 or 1.03%, while also improving precision, recall, and F1-score, indicating that feature selection contributes significantly to sentiment classification performance.
Identification and Mitigation of Web Application Vulnerabilities in Healthcare Systems Saeful Diyan Pratama; Aris Tri Joko Harjanto; Bambang Agus Herlambang
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12951

Abstract

The rapid adoption of web-based applications in healthcare systems has increased exposure to security threats, particularly at the application layer. Despite the implementation of various security mechanisms, many systems remain vulnerable due to improper input validation, weak authentication controls, and insecure database interactions. This study aims to identify, validate, and mitigate critical web application vulnerabilities in a healthcare system, focusing on nonce reuse vulnerabilities in token-based authentication mechanisms, stored cross-site scripting (XSS), and SQL injection. The research employs an empirical approach through controlled security testing, including vulnerability identification, exploitation validation, and mitigation evaluation. The results demonstrate that all identified vulnerabilities are actively exploitable, affecting authentication integrity, data confidentiality, and system reliability. Furthermore, the implementation of targeted mitigation strategies, such as token validation, input sanitization, and parameterized queries, substantially reduced the observed exploitability of the identified vulnerabilities within the tested scenarios. These findings highlight that application-layer security weaknesses remain a significant risk in healthcare systems and require systematic and integrated mitigation approaches. The study suggests that adopting secure-by-design principles and continuous security testing may improve system resilience against application-layer attacks. The implications of this research emphasize the need for proactive security practices in web-based healthcare applications to prevent exploitation and protect sensitive data from evolving cyber threats.
Sequential Multi-Factor Authentication for Attendance Using LBPH and Geolocation Fitrada Kurnialdi Assrofi Ulla; Aris Tri Jaka Harjanta; Bambang Agus Herlambang
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13629

Abstract

Conventional attendance systems remain vulnerable to proxy attendance, location manipulation, and inefficient administrative processes, while many existing intelligent attendance solutions rely on computationally intensive deep learning models that are less suitable for lightweight web-based implementations. This study addresses these limitations by proposing a web-based smart attendance system integrating GPS-based geofencing and Local Binary Pattern Histogram (LBPH) within a Sequential Multi-Factor Authentication (MFA) framework. The proposed framework also incorporates GPS spoofing detection based on abnormal geolocation properties and IP geolocation consistency to improve resistance against location manipulation. The authentication mechanism performs geofencing validation before facial verification to improve security and avoid unnecessary biometric processing. The system was developed using the Laravel framework integrated with Python-based facial recognition and evaluated through black-box functional testing. Experimental evaluation involving 120 attendance scenarios achieved an overall accuracy of 96.67% while effectively detecting GPS spoofing and presentation attacks with low false acceptance and false rejection rates. The implementation results demonstrated that all major functional modules operated according to the predefined requirements, while the confidence threshold of 40 provided reliable facial verification under moderate environmental variations. These findings indicate that the proposed framework provides a practical, secure, and lightweight solution for web-based attendance management and offers an effective alternative to computationally intensive deep learning-based attendance systems.
Co-Authors Aan Kia Asshifa Abdun Nafi' Adam Alfareza Adisti Khairunnisa N Aditya Galih Prathama Adrianto, Syahrul Agesti, Okta Vian Ahmad Khoerul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Khoirul Anam Ahmad Subhan Ainia Hasna Salsabila Ainia Hasna Salsabila Aldi Widodo Anam, Ahmad Khoirul Andriyani, Elvia Angga agustino maulana Ardianti Romsita Ari Tri Jaka Harjanta Arif Firmansyah Arifin Arifin Aris Tri Jaka Harjanta, Aris Tri Aris Tri Joko Harjanto Aris Trijaka Harjanta Arisul Ulumuddin Armanda Yasir Danuarsa Aurellia Callista Dewi Baharudin alamsyah Bakhtiar, Tegar Robi Baromim Triwijaya Bima, Bima Aditya Hendriansyah Chairunnita Chairunnita Choirunnisa Choirunnisa Danu Candra Saputra Danu Candra Saputra David Rian Prabowo Desi Purwaningsih Dian Fitria Maharani Dian Puspitasari Dimas Aditya Saputra Duwi Nuvitalia Dwi Nuvitalia Dyah Nugrahani Dzulfiqar Alang Setiawan Eka Setyabudi Eni Imro’atun Wahyu Septiani Ernawati Saptaningrum Evan Averill Andika Farhan Afrian Fatmawati, Maylia Febrian Murti Dewanto Fitrada Kurnialdi Assrofi Ulla Fitri Sari , Rindhi Fitri Yulianti Galih Hermawan Hanum Nahla Zahrani Hanun Ravi Putra Wardana Hanun Ravi Putra Wardana Hapsari Larasati Harjanto, Aris Tri Joko Haryo Kusumo Hayyannabil, Adha Wiyan Heni Purwati Ifta Dila Salsabila Indradewi, Marlisa Irfan Maiyola Irkham Ulil Albab Khoiriya Latifa khoiriya latifah Khoiriya Latifah, Khoiriya Khoirul anam KHOIRUL ANAM Khoirul Anam, Ahmad Kikit Wahyuni Kurniawan Satrio Abdi Kusumo, Haryo Laela Rustiani Laily Ratna Agustina Laras Wulansari Lathifa, Khoiriya Latif Junia Angreani Marlina, Dian Mega Novita Mega Novita Mega Novita Miftakhul Jannah Moh Ferdio Arifianto Saputro Moh Zaenal Fanani MUHAMAD RAIKHAN ILHAM FIRMANSYAH Muhammad Rizki Kurniawan, Muhammad Rizki Muhammad Saifuddin Zuhri Muhammad Saifuddin Zuhri Muhammad Vendi Nur Rohim Muhtarom Mutiara Salsabila Nafi', Abdun Naila Amelia Shahada Najwa Mahdewi Syahita Nicko Ilham Akbar Nida Hanifah Nilna Rusyda Widyaningsih Nityasa Tustika Noora Q. N Noora Qotrun Nada Noora Qotrun Nada, Noora Qotrun Nugroho Dwi Saputro Nur Latifah Dwi Mutiara Sari Puji Ratna Sari Qodimah, Fitrotul Ramadhan Renaldy Rehan Angger Pradata Renaldy, Ramadhan Reza aditya pratama Rima Febryani Rizky Esti Utami, Rizky Esti Rizqa Zahrotun Nafiah Rizqi pasha eko adi prabowo S Sumarno saeful diyan pratama Saeful Fahmi Saeful Fahmi, Saeful Safira Indah Utami Saputro, Anjar Tiyo Senowarsito Septiani Eka Retnosari Septio Oggy Pradana Setyoningsih Wibowo Setyoningsih Wibowo Shentika Ayu Wulandari Siti Musarokah Sunarya Sunarya Sutrisno, Sutrisno Syahrul Adrianto Tarisa Ramadhani Tedy Firmansyah Tedy Firmansyah Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria Setyawati Vilda Ana Veria, S.Gz, M.Gizi Vivi Ferliana Putri Waliyansyah, Rahmat Robi Widodo, Aldi Widya Aprilia Wiyaka Wulan Agustina Wulandari, Shentika Ayu Yanuar Hery Murtianto Yudha Ananda Ramadhan Yuli Kurniati Werdiningsih Yuli Kurniati Werdiningsih, Yuli Kurniati Yusuf Ma'iin Rohmatulloh