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Bulletin of Network Engineer and Informatics (BUFNETS)
Published by GWEX NET PUBLISHER
ISSN : 29874858     EISSN : 29868017     DOI : https://doi.org/10.59688/bufnets
Core Subject : Science,
Computer Science & IT
The Journal invites original articles and is not simultaneously submitted to another journal or conference. Scopes: Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Computer Graphics, Virtual Reality, Data and Cyber Security. Computer Network: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Fuzzy Sensor and Network, Internet of Things, Data Communication and Networking.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026" : 13 Documents clear
Classification of Papaya Leaf Disease Using Ensemble Learning Danuarta, Bachtiar; Nilogiri, Agung; Al Faruq, Habibatul Azizah
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/asexz453

Abstract

Papaya leaf diseases, such as Papaya Ringspot Virus and Begomovirus, have a significant impact on papaya production and quality. Manual identification is often ineffective due to the visual similarity of symptoms. This study proposes a system for classifying papaya leaf diseases using a Convolutional Neural Network (CNN) with an ensemble learning method that aims to improve accuracy and provide accurate and stable predictions on new data that has not been seen during training. Three CNN architectures, namely VGG16, ResNet-34, and MobileNetV2, were trained individually with hyperparameter optimization using grid search. After training the individual models, the three models were combined (ensemble) using the soft voting method. The results showed that the best individual model was MobileNetV2, achieving 98% on all accuracy, precision, recall, and f1-score metrics, but the model with the most optimal performance was achieved by the ensemble model. The ensemble model achieved 99% accuracy, 98% precision, 99% recall, and 99% f1-score, these results demonstrate a significant improvement over the three individual trained models and outperform the ResNet-152v2 architecture reported in previous research
Automation of Cyber Attack Mitigation on RouterOS Using n8n Orchestration Platform Pratomo, Arief Budi
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/fq83hq56

Abstract

The security of network infrastructure using MikroTik RouterOS is frequently compromised by automated cyber attacks, such as brute force and port scanning, which require rapid mitigation to prevent unauthorized access. This research aims to develop an automated mitigation system by utilizing n8n as a low-code workflow orchestrator to enhance response efficiency. The research method involves integrating RouterOS syslogs with n8n via a webhook or database trigger, which then automatically executes blocking commands through the MikroTik API when a threat is detected. The results demonstrate that the system can identify and isolate malicious IP addresses within seconds, significantly reducing the window of vulnerability compared to manual administrative intervention. In conclusion, the implementation of n8n provides an effective and scalable solution for real-time cyber attack mitigation, ensuring better network stability and security.
Decision Support System for Toddler Vaccination Coverage at Bunga Teratai Posyandu, Lokon Hamlet, Using the SMART Method Azmi, Muhammad; Fitriani, Fitriani
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/k76xvx17

Abstract

Posyandu (Integrated Healthcare Center) is a primary health facility that plays a vital role in monitoring growth and providing immunizations for toddlers. However, at the Bunga Teratai Posyandu in Lokon Hamlet, the decision-making process regarding toddler vaccination coverage is still conducted manually and remains suboptimal. This can lead to inaccuracies in vaccination prioritization and data collection. This study aims to develop a Decision Support System (DSS) to assist Posyandu cadres and health officers in determining toddler vaccination coverage more quickly and accurately. The method used in this system is SMART (Simple Multi-Attribute Rating Technique), which operates by assigning weights to predefined criteria, such as the toddler's age, body temperature, and vaccine type. The system is designed to process data structurally and provide recommendations based on the highest calculated values. The results of this study indicate that the SMART method can effectively rank vaccination priorities, thereby facilitating more efficient data management and decision-making for health officers at Bunga Teratai Posyandu.
Development of a Soil Temperature and Humidity Monitoring Device for Optimization of Chili Farming Using Arduino Mawe, Hannatul; Fitriani, Fitriani
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/1f56j314

Abstract

The main problem often faced by chili farmers in the field is the difficulty in monitoring soil temperature and humidity conditions continuously, especially in large and remote areas. Environmental conditions that are not monitored accurately can cause a decrease in the quality and quantity of the harvest. This research aims to develop a soil temperature and humidity monitoring tool that is capable of providing real-time and accurate data to support the optimization of chili farming. This system is designed using an Arduino Uno microcontroller integrated with a DHT22 temperature sensor and a YL-69 soil moisture sensor. Measurement result information is displayed on the LCD screen and is also sent wirelessly using the SIM800L GSM module so that it can be accessed remotely. The method used is the prototype method, which includes the stages of needs identification, device design, prototype creation, functional testing and system evaluation. Data was obtained through literature studies, direct observations on agricultural land and interviews with farmers. The test results show that the tool can work stably, accurately and provide notifications of soil conditions that are appropriate to field conditions. This tool can assist farmers in making decisions regarding watering and maintaining chili plants. This monitoring system is expected to make agricultural processes more efficient, productive and based on real-time data.
Framework of Inventory and Sales Information System at UD. PAPILON TERARA Nukman, Nukman; Sa’adati, Yuan; Abdul Majid, Muhip
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/yzt3zz91

Abstract

In the administration section, it is often overwhelmed when there are so many sales orders, because the work is still done manually. Not to mention if the leadership wants reports quickly. The administration section must open and search for the archives related to the report to be made. This work takes up a lot of time, resulting in delays in the reports that will be given to the leadership. Based on these problems, the researchers took the initiative to create and implement a new application system. The framework that will be designed will make it easier for the administration in managing goods data or incoming and outgoing sales data because the database for storing data uses a MySQL database and the system is made using Visual Basic Net version 17.5. With this system is expected to overcome the problems mentioned above in order to help facilitate the working mechanism. Because the processing of inventory and sales data at UD. PAPILON Terara still uses conventional methods
Comparative Analysis of Seven Machine Learning Algorithms for Morphology-Based Classification of Cammeo and Osmancik Rice Varieties Kalua, Aditya; Agung Wibowo, Mochamad; Alexander Latumakulita, Luther; Widsli Kalengkongan, Wisard; Ijon Turnip, Rama
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/scp7n107

Abstract

Accurate varietal identification of rice grains is crucial for quality assessment and data-driven decision-making in agricultural informatics. This study aims to comparatively eval-uate seven machine learning algorithms for morphology-based classification of Cammeo and Osmancik rice varieties and to identify the most suitable model for structured numerical grain-feature data. Using a dataset of 3,810 instances with seven image-derived morpho-logical features, a systematic comparison was conducted across Logistic Regression, Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree, Random Forest, Naive Bayes, and k-Nearest Neighbors. The models were evaluated based on classification quality and computational efficiency. Results show that MLP achieved the highest overall predictive performance with an accuracy of 93.03% and an F1-score of 94.17%. However, when balancing accuracy against computational overhead, SVM emerged as the optimal” sweet spot” for industrial implementation, offering a competitive 92.50% accuracy with a 93-fold reduction in execution time compared to MLP. Naive Bayes demonstrated the fastest computational runtime (0.0022 seconds total). The study identifies a distinct trade-off between predictive quality and runtime efficiency, recommending MLP for high-fidelity research and SVM for real-time agricultural informatics applications.
Web-Based Tray Monitoring Application Using CodeIgniter (CI) Framework: Case Study of PT SIIX EMS Indonesia Awaludin, Sidqi; Hananto , Agustia; Novalia, Elfina
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/7t2cff37

Abstract

PT SIIX EMS Indonesia is a manufacturing company that utilizes trays as a means for temporary storage and component distribution across its production lines. However, the monitoring and recording process for these trays is still conducted manually, leading to various issues such as recording errors, data loss, delays in information delivery, and difficulties in real-time tray tracking. These problems result in decreased operational efficiency and sub-optimal decision-making by management. Therefore, this study aims to design and develop a web-based tray monitoring information system to enhance the effectiveness of tray management within the company. The research methodology includes data collection techniques through direct observation and literature review. Meanwhile, the system development follows the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application was developed using the CodeIgniter framework with PHP programming language and MySQL as the database for data storage. The results indicate that the developed web-based tray monitoring system successfully integrates data for recycled trays, new trays, and scrap trays into a centralized system while providing a real-time monitoring dashboard. System testing using the Black Box Testing method shows that all application features function according to user requirements. Consequently, the developed system improves data recording accuracy, accelerates the information retrieval process, and assists management in making faster and more accurate decisions at PT SIIX EMS Indonesia.
Optimization Grouping Quality MBG Program Food Uses K-Means Algorithm Based on Davies-Bouldin Index Evaluation Fitriasih, Fitriasih; Fahrudin, Fahrudin; Heny Indriani, Heny Indriani; Denny Vasanando Sabanise, Denny Vasanando Sabanise; Muhammad Ainurrohman, Muhammad Ainurrohman
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/fqnk3355

Abstract

The evaluation of food quality in the Free Nutritious Meal Program (MBG) requires an objective and systematic approach to ensure nutritional standards and service effectiveness. This study applies a data mining technique using the K-Means clustering algorithm to classify food quality based on multiple attributes, including Calories, Protein, Fat, Carbohydrates, Freshness, Cleanliness, Serving Temperature, and Eligibility. This research utilizes RapidMiner to perform data preprocessing, involving data preprocessing through normalization, clustering with K-Means, and performance evaluation using the Davies-Bouldin Index (DBI) and Average Within Centroid Distance. Two clustering scenarios, K=3 and K=5, were evaluated to determine the optimal number of clusters.The results indicate that the K=3 model achieves a lower DBI value (0.214) compared to K=5 (0.224), indicating better cluster separation. Although K=5 produces more compact clusters, it does not improve overall clustering quality due to weaker separation. Therefore, the K=3 configuration is identified as the optimal model, as it provides a better balance between cluster separation and interpretability. These findings demonstrate that a multi-attribute clustering approach can effectively support data-driven decision-making in evaluating and improving food quality in the MBG program.
Improving Classical Playfair Cipher Security Using Genetic Algorithm-Based Key Optimization Pawan, Elvis; Elefri Neno, Friden; Yuliana, Yuliana; Dwi Febriana, Putri; Da Awendu, Damianus
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/s1567c81

Abstract

Even though the need for data security is growing, the standard Playfair Cipher algorithm can still be broken by frequency analysis. This is why this study was done. Ciphertext patterns that are easy to guess are a big problem because they make things less safe. This is especially true for the Playfair Cipher, which can be broken into by frequency analysis if it isn't properly protected. To make things safer, it is important to use stronger encryption methods and update the key management process on a regular basis. As part of designing the algorithm, building the system, and testing how well the cryptosystem works, you need to change the structure of the matrix and shuffle the keys on the fly. The test showed that the time it took to encrypt went up from 12.0 milliseconds to 14.2 milliseconds (+2.2 milliseconds or +18.33%), but the accuracy of the decryption stayed at 100%. The random index value also rose from 0.03636 to 0.06061. This means that the ciphertext is getting more random. The results show that making changes to the Playfair Cipher can make it a lot safer while still keeping it fast enough
Performance Evaluation of PID Control for Distance Maintenance in Wall-Following Robots Navigating Dynamic Trajectories Mansur, Syaiful; Al Hafiz, Muhammad Ridwan; Sari, Aknisa Alqibetia; Sembiring, Ridho Akmal
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/6g8j1952

Abstract

Autonomous navigation in wall-following robots plays a crucial role in maintaining movement stability within environments characterized by diverse path geometries. Conventional control methods often encounter oscillations and increased collision risks, particularly on dynamic trajectories. This study evaluates the performance of Proportional-Integral-Derivative (PID) control in maintaining a robot's navigation distance relative to a fixed 10 cm setpoint. The system was developed utilizing an Arduino Mega 2560 microcontroller and HC-SR04 ultrasonic sensors for distance feedback. PID parameters were determined using the Ziegler-Nichols tuning method, yielding optimal values of K_p=2, K_i=0.5, and K_d=1. Testing was conducted on both linear paths and dynamic trajectories consisting of 90° turns. The results demonstrate that on linear paths, the system successfully maintains the target distance with high precision, achieving deviations ranging from ±0.56 cm to ±1.13 cm with zero collisions. In contrast, a significant performance trade-off was observed on dynamic trajectories, where a spike in transient error led to an average distance shift to 11.88 cm and 1–2 collisions per trial. These findings highlight that while PID control is highly effective under stable linear conditions, it possesses inherent limitations in responding to rapid geometric changes and mechanical inertia. Consequently, further development, such as adaptive control logic or high-sampling-rate sensing, is required to enhance system robustness on dynamic trajectories.

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