bit-Tech

Introductory C programming challenges novice learners because abstract concepts and syntax-intensive structures can hinder comprehension. This study developed and preliminarily evaluated an educational game for C programming. The game was designed using the Analyse, Design, Development, Implementation, and Evaluation (ADDIE) framework and implemented in RPG Maker MV as a two-dimensional action ro…

Face recognition is a biometric method that lets a device identify a person automatically, and it can be embedded in a surveillance camera for home security. A conventional camera lets an occupant watch the house remotely but is ineffective alone, since it must be monitored continuously. This study develops a Raspberry Pi system that detects and recognizes faces in real time and e-mails the homeo…

Post-disaster aid distribution remains vulnerable to subjective beneficiary selection, inconsistent assessment standards, fragmented records, and limited decision traceability. This study developed a web-based Decision Support System (DSS) using Simple Additive Weighting (SAW) to support standardized and documented prioritization of post-disaster aid recipients. Six criteria housing damage, house…

The depreciation of the Indonesian rupiah against the US dollar throughout 2025 to mid-2026 generated substantial online discussion on social media platforms. Understanding the thematic structure of this discourse can complement existing macroeconomic analyses by revealing what concerns are expressed by online audiences. This study aims to identify the main topics in YouTube comment sections rela…

Mustika Fotocopy and Printing provides photocopying, printing, and office-stationery services. Its financial and inventory records were previously maintained in handwritten notebooks and separate Microsoft Excel files, creating fragmented data, duplicate entries, delayed reporting, recording errors, and stock discrepancies. This study aimed to design, develop, and functionally evaluate an integra…

Chronic Kidney Disease (CKD) is a progressive disease with an increasing global prevalence and is associated with serious complications, reduced quality of life, and increased mortality when not diagnosed and managed appropriately. This study aimed to develop a K-Nearest Neighbor (KNN)-based model for classifying CKD stages using routine laboratory parameters and to implement the selected model i…

Pre-harvest yield estimation for bird's eye chili often relies on visual judgment, which can be inconsistent when fruits are small, numerous, overlapping, or partly occluded. This study developed an end-to-end web-based workflow integrating YOLOv8s visible-fruit detection, Slicing Aided Hyper Inference (SAHI), category-weighted digital sampling, and harvest-mass conversion using mean fruit weight…

Ransomware has become one of the most significant cybersecurity threats due to its ability to encrypt files and disrupt system availability. Conventional signature-based detection methods often struggle to identify newly emerging ransomware variants, making behavior-based approaches a promising alternative. This study proposes a behavior-based ransomware detection method based on file system chan…

Toddler nutrition monitoring at Puskesmas Kotabumi II is still largely paper-based, making data recording, growth assessment, and reporting time-consuming and prone to errors. This study develops and evaluates an Android-based Toddler Nutrition Monitoring System using Kotlin, Firebase Authentication, and Cloud Firestore following the Research and Development prototype approach. The system automat…

Diabetes Mellitus is a chronic metabolic disorder requiring accurate early detection. While machine learning is widely applied in diabetes prediction, the degree of feature ranking agreement across algorithm variants remains insufficiently quantified. This study evaluates the pairwise rank consistency of feature hierarchies generated by five Relief-Based Algorithm (RBA) variants ReliefF, SURF, SU…

The digital transformation of healthcare and Ministry of Health Regulation No. 24 of 2022 require even small dental clinics to migrate from paper-based administration to electronic medical records (EMR). Bertha Desnalia Dental Clinic previously managed patient registration, medical records, queues, drug inventory, and billing manually, which caused data redundancy, slow retrieval of patient histo…

In the current digital era, the development of academic mobile applications, such as the E-OBE application used by Universitas Trunojoyo Madura, requires rigorous testing to ensure robustness and reliability. However, manual testing is often inefficient for detecting complex backend issues and input-handling weaknesses within modern REST API architectures. Objectives: This study aims to evaluate …

Educational research on Inquiry–Culturally Responsive Teaching (I-CRT) has produced a learning model, instruments, digital literacy datasets, and implementation recommendations, but these artefacts are distributed across a printed model book, a conference proceeding, spreadsheet datasets, and separate instrument documentation, so their interrelationships are not represented in any shared structur…

Aviation radio communication is essential for flight safety and reliable coordination between pilots and Air Traffic Controllers within the 118–137 MHz Very High Frequency (VHF) Airband. This study evaluates the feasibility of a low-cost, field-oriented platform for acquiring and visualizing VHF Airband activity in the Palembang region, rather than validating a formal interference-detection metho…

Islamic boarding schools require coordinated digital support for student administration, payment processing, institutional communication, and basic financial reporting. At Al-Insap Islamic Boarding School, paper records and disconnected files fragmented student, guardian, payment, and transaction data. This study aimed to develop and functionally evaluate a role-based web platform that links guar…

Payroll administration in small and medium-sized enterprises is often constrained by fragmented records, manual calculations, limited traceability, and delayed report preparation. At BUSR Mebel, these conditions created operational risks in salary calculation, data organization, and administrative transparency. This single-case system development project aimed to design and implement a web-based …

This study aimed to design and implement a focused web-based Learning Management System (LMS) for pre-university learning at UPN "Veteran" Jawa Timur. The research gap addressed in this study is the limited suitability of general LMS or commercial e-course platforms for the transitional learning needs of high-school students who require structured exposure to university-level learning before ente…

Fragmented Optical Distribution Point (ODP), fiber-route, customer, and fault records limit a shared operational view of Fiber to the Home (FTTH) incidents. Objective: This study developed a Web Geographic Information System (Web-GIS) that integrates spatial FTTH assets with a transparent two-stage fault-priority rule. Methods: Applied research used observation from 11 January to 11 February 2026…

Internet service providers receive customer complaints through instant-messaging platforms, yet manual handling can delay responses and create message backlogs. This study develops and evaluates a Telegram chatbot for classifying Indonesian ISP complaints submitted as text or voice notes. Its primary contribution is a lightweight multimodal architecture integrating Telegram, Whisper-based transcr…

Sukarobot Academy, a robotics and programming course provider for children aged 4-18 with branches in Sukabumi, Bogor, and Tasikmalaya, places new students through a face-to-face trial class, a process branch staff report limits scalability, restricts access outside the service area, and depends on individual trainer judgment across all six offered tracks (Robotics, Coding for Kids, Web Programmi…