Jurnal Sains, Teknologi & Komputer

Application of moving average and single exponential smoothing (SES) methods for frozen food sales forecasting at Rezeki Baru Store

Muhammad Hafizh Syah Utama — 2026-07-31

This study aims to apply and compare the Moving Average (MA) and Single Exponential Smoothing (SES) methods for forecasting frozen food sales at Toko Rezeki Baru. The study utilizes historical sales data from the 2023–2025 period. Both methods were implemented in a web-based forecasting system, and their accuracy was evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE), with MAPE serving as the primary indicator for determining the best method. The results indicate that SES yielded lower error values than MA for the majority of products, demonstrating superior performance in generating accurate forecasts. A comparison of MAPE values across 31 products revealed that SES produced lower error rates for 28 products, whereas MA performed better for 3 products. The developed system can be used to forecast sales for 2026 and assist Toko Rezeki Baru in inventory planning and stock management decision-making.

A decision support system for selecting prospective enabler fund recipients for patients with drug-resistant tuberculosis at yayasan mentari meraki asa using the fuzzy saw algorithm

Adelia Jaharani — 2026-07-31

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis, which primarily affects the lungs but can also affect other organs. Drug-Resistant Tuberculosis (DR-TB) poses a serious challenge to TB control in Indonesia because its treatment requires a longer duration and is associated with more severe side effects. One of the major challenges in the management of DR-TB is patients’ non-adherence to treatment, which is often influenced by financial constraints, including transportation costs to healthcare facilities. Yayasan Mentari Meraki Asa has implemented a transportation assistance program (enabler) since 2020 to support patients in completing their treatment. This study aims to develop a system for selecting prospective recipients of enabler funds for patients with DR-TB using the Fuzzy Simple Additive Weighting (Fuzzy SAW) algorithm. The system is designed to evaluate several criteria, namely income, number of dependents, disease severity, and the level of patient dependency. Through this approach, the distribution of assistance is expected to become more objective, targeted, and transparent, while supporting improvements in the treatment success rate of DR-TB.

Design and implementation of a reusable component-based architecture for learning media

Muhammad Amin Rais — 2026-07-31

The development of digital learning media often requires repeated implementation of similar features such as quiz systems, video players, module navigation, and progress trackers in different applications. This study proposes a reusable prefab-based architecture on the Unity platform by applying the principles of Component-Based Software Engineering (CBSE). The developed architecture consists of seven core reusable components: Lobby, Module Layout, Material, Video Player, Quiz, Progress Tracker, and Main Setting Component. The study uses a Research and Development (R&D) approach with a modified ADDIE model and is implemented using Unity 2022 LTS and the C# programming language. Evaluation is carried out through the implementation of component libraries in five different learning media applications. The results show that most components have a high reuse ratio, a maintainability index above 70, and low coupling dependencies, thus supporting system modularity and reusability. This study shows that a reusable prefab-based architecture can be an effective solution in the development of modular, flexible, and scalable digital learning media.

Implementation of an automatic curtain control system using a servo motor and ultrasonic sensor based on the internet of things

Anggun Pratiwi Ritonga — 2026-07-31

The development of Internet of Things (IoT) technology has encouraged the development of more efficient home automation systems, including the implementation of automatic curtain control systems. This study aims to design and implement an IoT-based curtain control system using an Arduino Uno, NodeMCU ESP8266, SG90 servo motor, and HC-SR04 ultrasonic sensor. The developed system has two main features: manual control through a Telegram bot and automatic control based on object distance detected by the ultrasonic sensor. The research methodology includes hardware design, software design, system implementation, and testing to evaluate the system's response and success rate. The test results show that the curtains can be controlled through the Telegram bot in real time and can open automatically when an object is detected at a distance of 15 cm, with a success rate of 95%. Based on these results, the IoT-based automatic curtain control system can serve as a solution for supporting the implementation of the smart home concept by providing ease of operation and automated curtain control. Future development may include the addition of voice-based control, integration with other smart home devices, and improvements in sensor detection accuracy.