cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ismail Puji Saputra
Contact Email
ismailpujisaputra@gmail.com
Phone
+6281379119607
Journal Mail Official
ismailpujisaputra@gmail.com
Editorial Address
Jl. Cut Nyak Dien 15 B Barat, Metro, Provinsi Lampung, 34111
Location
Unknown,
Unknown
INDONESIA
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 59 Documents
 2   3   4   5   6 
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.
Foresight-Driven Digital Transformation and Innovation Performance in Tourism MSMEs: A Capability Complementarity Perspective Eman Sulaiman; Adi Santoso; Vigory Gloriman Manalu; Daduk Merdika Mansur; Hartanto Halim; Asep Kosasih
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: 10.59688/709842

Abstract

Tourism micro, small, and medium enterprises (MSMEs) in West Java operate in increasingly dynamic environments shaped by digital platforms, shifting consumer behavior, and rising sustainability expectations. While digital transformation is often promoted as a strategic solution, many MSMEs struggle to translate digital adoption into meaningful innovation outcomes. This study develops and empirically tests a foresight-driven digital transformation framework that explains how strategic foresight capability, digital transformation capability, and green marketing orientation jointly influence innovation performance. Drawing on dynamic capabilities theory and sustainability-oriented marketing logic, this study employs a sequential mixed-method design. The qualitative phase identifies context-specific manifestations of foresight practices, digital transformation activities, and green marketing behaviors among tourism MSMEs. The quantitative phase, using PLS-SEM analysis of 214 MSMEs, examines the relationships among the constructs and the moderating effect. The results reveal that strategic foresight capability significantly enhances digital transformation capability and green marketing orientation, confirming its role as an upstream dynamic capability. Furthermore, digital transformation capability and green marketing orientation both positively influence innovation performance, with a stronger emphasis on marketing innovation. Importantly, the findings demonstrate a significant complementarity effect, where green marketing orientation strengthens the impact of digital transformation capability on innovation performance. This study contributes to the literature by positioning strategic foresight as a micro-foundation of digital transformation capability, and by integrating digital transformation and sustainability orientation into a unified framework. Practically, the findings highlight the importance for MSMEs to develop simple foresight routines, integrated digital capabilities, and credible sustainability-driven marketing strategies to enhance innovation outcomes.
IMPLEMENTATION OF THE ZACHMAN FRAMEWORK IN THEDEVELOPMENT OF THE SMART VILLAGE IT BLUEPRINT IN AFISHING VILLAGE Ningsi, Nurfitria; Zainuddin, Noorhasanah; Sarimuddin, Sarimuddin; Sardiana Sari, Rina
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: 10.59688/722833

Abstract

Digital transformation in rural coastal areas is frequently impeded by fragmented data management andunstructured IT governance. This study applies the Zachman Framework to design a comprehensive SmartVillage IT Blueprint for Kangkunawe, a coastal fishing village in West Muna Regency, Indonesia. Theframework systematically maps organizational needs across six perspectives and six abstraction levels, ensuringalignment between the village's strategic vision and its technical solutions. The research proceeded throughthree phases: (1) enterprise analysis of the village's organizational structure, vision, and existing serviceprocesses; (2) Zachman matrix population across all six perspectives, yielding business, application, data,technology, and network architectures; and (3) prototype implementation of the SPEDATA module anintegrated village population data and administrative correspondence service. The resulting blueprint definesfive primary smart village service hubs: SPEDATA, e-marketplace, GIS-Health, e-tourism, and e-finance.Black-box Testing of the SPEDATA prototype confirmed 100% functional correctness across 24 test cases. TheZachman Framework is demonstrated to be effective in systematically structuring village IT governance into areproducible, scalable blueprint that directly informs prototype development.
SEGMENTATION OF SUPERBANK APPLICATION USER CHARACTERISTICS USING K-MEANS CLUSTERING Pandu Wynalda, Romi; Setiawan, Rudi
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: 10.59688/722834

Abstract

This study aims to identify the segmentation of Superbank user behavior based on application usage patterns and their relationship with onboarding channels. The research was conducted using a data analytics approach using the K-Means clustering method on user behavior data, which includes logins month, transactions month, feature usage and onboarding source. The results showed that the grouping of users resulted in three main clusters that were aligned with the onboarding channel, namely OVO, Grab, and Superbank App. The user clusters of the Superbank App showed the highest level of activity, characterized by a greater frequency of logins, higher transaction intensity, and wider exploration of features. Grab's user cluster is at moderate usage and shows potential to be improved through a phased engagement strategy. Meanwhile, the user cluster of OVO tends to have low login frequency, more transactional usage patterns, and limited feature exploration. These findings suggest that onboarding channels not only serve as user acquisition pathways, but also relate to post-acquisition behavior in app usage. Thus, the results of clustering can be used as the basis for developing a more targeted business strategy, especially in efforts to retain users, activate features, and increase engagement according to the characteristics of each channel.

Page 6 of 6 | Total Record : 59

 2   3   4   5   6 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026 Vol. 3 No. 2 (2025): BUFNETS (Bulletin of Network Engineer and Informatics) October 2025 Vol. 3 No. 1 (2025): BUFNETS (Bulletin of Network Engineer and Informatics) April 2025 Vol. 2 No. 2 (2024): BUFNETS (Bulletin of Network Engineer and Informatics) October 2024 Vol. 2 No. 1 (2024): BUFNETS (Bulletin of Network Engineer and Informatics) April 2024 Vol. 1 No. 2 (2023): BUFNETS (Bulletin of Network Engineer and Informatics) October 2023 Vol. 1 No. 1 (2023): BUFNETS (Bulletin of Network Engineer and Informatics) April 2023