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Jurnal ULTIMA Computing
ISSN : 23553286     EISSN : 25494007     DOI : -
urnal ULTIMA Computing merupakan Jurnal Program Studi Sistem Komputer Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Komputer serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, organisasi dan arsitektur komputer, programming, embedded system, sistem operasi, jaringan dan internet, integrasi sistem, serta topik lainnya di bidang Sistem Komputer. Jurnal ULTIMA Computing terbit secara berkala dua kali dalam setahun(Juni dan Desember) dan dikelola oleh Program Studi Sistem Komputer Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
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Articles 163 Documents
Design and Development of an Automated Gymnastics Movement Evaluation Device Ari Bawono; Ahmad Ridlo Hanifudin Tahier; Fakhruddin Mangkusasmito; Naurah Elfrida Anargya
ULTIMA Computing Vol 18 No 1 (2026): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v18i1.4639

Abstract

Rhythmic gymnastics need precision, balance, and harmonious body coordination. This study designs an automated rhythmic-gymnastics movement evaluation device based on wearable inertial and orientation sensing. An ADXL335 accelerometer sensor and an HMC5883L magnetometer sensor are integrated with an ESP32-C3 mini transmitter to acquire three-axis acceleration and heading data in real time and stream them via Wi-Fi (UDP) to a Wemos D1 Mini ESP32 as a receiver. The receiver sends data to a PC application that performs downsampling with average pooling to reduce signal density, applies min–max normalisation to harmonise scale across axes, and compares the processed test sequence against reference data. Deviations are quantified through per-parameter error computation, which is converted to accuracy and combined using predefined weights to generate an overall performance score that is displayed on an LCD/P10 panel. Experimental trials on SKJ 2012 warm-up movements show that sequences closely matching the reference pattern consistently yield high scores about 80–85, whereas intentionally incorrect executions produce substantially lower scores around 40. The proposed system therefore provides an objective, repeatable, and real-time scoring mechanism that can support teachers in evaluating movement conformity, reduce assessor bias, and enable measurable feedback for learning and training in school-based physical education.
Enhancing Energy Visibility: A Real-Time Power Monitoring System via Web Scraping and NoSQL Moeljono Widjaja; Rahmi Andarini
ULTIMA Computing Vol 18 No 1 (2026): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v18i1.4647

Abstract

Modern industrial power meters are often equipped with Ethernet ports, providing web-based interfaces for real-time monitoring. However, automating data extraction from these interfaces for long-term analysis can be challenging without costly proprietary software. This paper presents a systematic design for an energy logging system that utilizes a web scraping approach to systematically retrieve data from power meter web APIs. The system is implemented using a Python-based scraping script deployed on a Raspberry Pi and utilizes a MongoDB database for scalable data storage and subsequent load profile visualization. Experimental results from an installation at the Universitas Multimedia Nusantara campus demonstrate the system’s ability to effectively monitor high-load Mechanical Ventilation and Air Conditioning (MVAC) systems, providing critical insights into peak consumption periods and operational efficiency. This low-cost, automated solution facilitates data-driven energy management and supports institutional energy-saving initiatives.
Design and Development of a Water Filling System Using An Arduino Mega 2560 Based on Flowmeter Sensor Ahmad Ridlo Hanifudin Tahier; Wahyu Riandika; Dhani Nur Indra Syamputra
ULTIMA Computing Vol 18 No 1 (2026): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v18i1.4650

Abstract

The utilisation of automation technology is undergoing rapid proliferation in the industrial sector, including in the bottled drinking water industry. The objective of this study is to design and implement an automation system for filling bottled drinking water with a range of 30–330 millilitres using an Arduino Mega 2560 as the controller. The setpoint is determined by calibrating the pulse value obtained based on the time delay in filling volumes in multiples of 30 at values ranging from 30 to 330 millilitres. The accuracy value for volumes of 30 and 60 millilitres was found to be 99.3%, while volumes of 60-330 millilitres demonstrated an accuracy level of >99.6%. Subsequently, the system was integrated with a conveyor and E18-D80NK proximity sensor to detect bottles during the filling process, and a counter to enumerate the bottles post-water filling. Preliminary testing indicated that the system demonstrated a capacity for precise bottle filling, with an error margin of less than 1%. This finding suggests that the system exhibits a low level of inaccuracy and responsiveness.

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