Article Per Year (5 Year)
p-Index From 2021 - 2026
12.155
P-Index
This Author published in this journals
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) Journal of Artificial Intelligence and Engineering Applications (JAIEA) 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 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
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 105 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 105 Documents
Search

 7   8   9   10   11 
Implementation of Moving Average and Weighted Moving Average for Forecasting Palm Oil Harvest and Income in a Web-Based GIS System Andriyani, Elvia; Herlambang, Bambang Agus; Lathifa, Khoiriya
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5754

Abstract

Independent palm oil farmers face significant challenges in financial management due to inefficient manual recording, fluctuating harvest yields, and volatile Fresh Fruit Bunch (FFB) prices. This study aims to develop a web-based harvest and income recording system integrated with a Geographic Information System (GIS) and forecasting methods to support decision-making. The system is developed using a Research and Development (R&D) approach by comparing Moving Average and a dynamically weighted Moving Average that adapts to price fluctuations for predicting future net income. Model performance is evaluated using Mean Absolute Percentage Error (MAPE) and validated with the Diebold–Mariano test, while system usability is assessed through User Acceptance Testing (UAT). The results show that the dynamically weighted Moving Average achieves a prediction accuracy of 93.08% (MAPE 6.92%), slightly outperforming the standard Moving Average (93.03%), although no statistically significant difference is found based on the Diebold–Mariano test. The system also obtains a “Very Good” usability rating with a UAT score of 95.11%. These findings demonstrate that the proposed approach provides a practical and adaptive forecasting mechanism integrated within a spatial financial management system, contributing to improved decision support and offering methodological value in time-series forecasting for agricultural informatics.
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.
Real-Time Multi-Class DoS Attack Detection on Proxmox VMs UsingLightGBM with MikroTik Integration Danu Candra Saputra; Bambang Agus Herlambang; Noora Qotrun Nada
Scientific Journal of Informatics Vol. 13 No. 3: August 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v13i3.57873

Abstract

Purpose: The adoption of virtualization increases the dependence on service availability, making Denial of Service(DoS) attacks a serious threat, while rule-based detection is poorly adaptive to evolving attacks. Many previous studies also rely on outdated public datasets, are evaluated offline, rarely measure inference latency, and lack automatic mitigation. This study aims to build a real-time multi-class DoS detection system on Proxmox virtual machines using LightGBM integrated with MikroTik.Methods: A controlled testbed based on Proxmox and MikroTik was built to generate normal and attack traffic. The dataset was collected from the real infrastructure at a one-second granularity and labeled into six classes, namely the normal condition and five DoS attacks. LightGBM was proposed as the detection model, while XGBoost, Random Forest, Decision Tree, and SVM served as baselines, compared using a temporal holdout to prevent data leakage, with SMOTE applied only to the training data.Findings: LightGBM was selected as the best model with an accuracy of 96.22%, a macro F1-score of 96.25%, and an inference latency of 1.369 ms. The four flooding attacks were detected almost perfectly, whereas Slowloris was the hardest class because it resembles normal traffic. Its PR-AUC dropped to 0.9271, and the system performed automatic mitigation at a median latency of 56.2 ms.Originality: This study integrates lightweight real-time detection with automatic firewall-based mitigation in a closed loop on real infrastructure, emphasizing the balance between accuracy and efficiency rather than the highest accuracy alone. Future work can extend it to distributed (DDoS) attacks.
IMPLEMENTATION OF GEOSPATIAL INTELLIGENCE FOR SENTIMENT ANALYSIS ON STUNTING POLICY IN BATANG REGENCY USING INDOBERT Dian Fitria Maharani; Bambang Agus Herlambang; Nur Latifah Dwi Mutiara Sari
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 2 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i2.12620

Abstract

This study develops a Geospatial Artificial Intelligence (GeoAI)-based WebGIS that integrates IndoBERT sentiment classification to evaluate public percetion of stunting-management policy in Batang Regency, Central Java, Indoneia. The Cross-Industri Standart Process for Data Mining (CRISP-DM) framework was applied to the sentiment-analysis pipeline, while Rapid Application Development (RAD) governed the system construction. A total of 478 public-opinion responses were collected through questionnaires from residents of fifteen sub-districts, preprocessed through data cleaning, case folding, tokenizing, stopword removal, and stemming, then labeled and classified into positive, neutral, and negative sentiment using a fine-tuned IndoBERT model. The system was built with Python, Flask, Leaflet.js, and QGIS to visualize sentiment spatially. On a held-out test set of 96 samples, the model achieved 82.29% accuracy, 83.49% weighted precision, 82.29% weighted recall, and an 82.58% weighted F1-score (macro F1-score of 0.77), with class-weighted loss applied during fine-tuning to counter a severe class imbalance in the labeled dataset (Imbalance Ratio = 5.82). Spatial analysis showed that Bandar Sub-district recorded both the highest number of positive (37) and negative (8) responses, indicating the highest level of public engagement, Batang Sub-district recorded the highest number of neutral responses (46). System functionality was further validated through User Acceptance Testing and Black Box Testing, each covering nine functional scenarios spanning authentication, dashoard acces, sentiment-analysis display, spatial map interaction, and page navigation; all eighteen test scenarios were completed successfully (100% valid), confirming that the system operates correctly and satisfies the intended user requirements. The resulting GeoAI-based WebGIS enable policymakers to identify sub-districts requiring closer attention and design more targeted, evidence-based interventions. These findings demonstrate that integrating sentiment classification with spatial visualization provides greater insight into public perception than statistical data.
Co-Authors Aan Kia Asshifa Abda Abda Abdun Nafi' Adam Alfareza 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 Danu Candra Saputra Danu Candra Saputra David Rian Prabowo Desi Purwaningsih Dian Fitria Maharani Dimas Aditya Saputra Duwi Nuvitalia Dwi Nuvitalia Dyah Nugrahani Dzulfiqar Alang Setiawan Eka Setyabudi Eni Imro’atun Wahyu Septiani Ernawati Saptaningrum 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 Indradewi, Marlisa Irfan Maiyola Irkham Ulil Albab Khoiriya Latifa khoiriya latifah Khoiriya Latifah, Khoiriya KHOIRUL ANAM Khoirul anam Khoirul Anam, Ahmad Kikit Wahyuni Kusumo, Haryo Laela Rustiani 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 Nugroho Dwi Saputro Nur Latifah Dwi Mutiara Sari Puji Ratna Sari Qodimah, Fitrotul Ramadhan Renaldy 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 Shentika Ayu Wulandari Siti Musarokah Sunarya Sunarya Sutrisno, Sutrisno Syahrul Adrianto Tarisa Ramadhani 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