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Journal of Smart Technology and Engineering Universitas Kristen Maranatha
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Jl. Prof. drg. Soeria Soemantri No.65, Sukawarna, Kec. Sukajadi, Kota Bandung, Jawa Barat 40164
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Journal of Smart Technology and Engineering
Published by Universitas Kristen Maranatha
ISSN : -     EISSN : 31108652     DOI : https://doi.org/10.28932/jste
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
Journal of Smart Technology and Engineering is a peer-reviewed, open access journal that publishes and disseminates high-quality, original research papers in the Smart Technology and Engineering Field. The Journal of Smart Technology and Engineering covers the following scope of research: Cybersecurity & Networks — cybersecurity, smart networks, and data protection Computer & Information Systems — computer system, information system, dan data analytic Artificial Intelligence — intelligent algorithms for data analysis IoT, Interaction & Multimedia — Internet of Things, Smart Devices, Human-Computer Interaction, Programming & Multimedia Structural, Infrastructure & Civil Systems — structural design, buildings, bridges, transportation, smart and sustainable infrastructure, geotechnical and hydraulic engineering Industrial, Manufacturing & Construction Engineering — production optimization, smart manufacturing, supply chain, quality management, construction management Electrical & Energy Systems — power systems, renewable energy, electronics, control systems, sensors, embedded systems Engineering Design, Safety & Innovation — design methodology, prototyping, safety, reliability, maintenance, and technical innovation
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 14 Documents
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Kombinasi Ekstraksi Ciri untuk Klasifikasi Ventricular Fibrillation menggunakan Support Vector Machine Raden Danisworo Rivianto Wicaksono; Novie Theresia Pasaribu; Jo Suherman
Journal of Smart Technology and Engineering Vol. 1 No. 2 (2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v1i2.14024

Abstract

Ventricular Fibrillation (VF) is a life-threatening heart rhythm disorder characterised by irregular and uncoordinated electrical activity of the heart that causes the heart to stop suddenly. An Electrocardiogram (ECG) is a medical test that detects heart abnormalities by measuring the electrical activity of the heart during contraction. The ECG in the VF shows very different characteristics from the normal heart rhythm, with loss of P waves and a regular QRS complex, replaced by rapid, irregular, and variable fibrillation waves of variable amplitude. A Support Vector Machine (SVM) is a type of Machine Learning that seeks the best hyperplane to separate classes. The kernel used in this study is best obtained by using the Quadratic Kernel. This study aims to detect Ventricular Fibrillation (VF) or Non-VF from ECG signals using Support Vector Machine (SVM). Preprocessing in this study: window size of ECG signals (5 seconds and 10 seconds), followed by a High Pass Filter, a Second Order Butterworth Low Pass Filter, and a Notch Filter. The characteristics used for extraction are Area Calculation (in this study, proposes using Ratio Area) and Spectral Analysis (FSMN, A1, A2, A3). Combinations of one to five of these trait extracts were trained and tested using SVM. The results obtained showed a combination of three characteristic extractions: FSMN-A1-A2 achieved the highest performance with 97% accuracy, 100% sensitivity, 94% specificity and the FSMN-A2-R characteristic extraction combination. The Area achieves 97% accuracy, 98% sensitivity, and 96% specificity. Adding trait extraction from three to four did not significantly improve performance.
Analisis Jaringan Pipa Hidran di Summarecon Mall Bandung Kelvin Dwiputra; Olga Catherina Pattipawaej
Journal of Smart Technology and Engineering Vol. 1 No. 2 (2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v1i2.14116

Abstract

A fire hydrant is a pipe connected to a water channel, especially on a street, which is used to take water from the main channel to extinguish a fire. The hydrant pipe network system is a distribution system used to channel water from sources to fire hydrants to extinguish fires. Installing a hydrant network is an important part of the security and safety of a building, especially in commercial spaces such as shopping centers. The aim of this final assignment research is to understand the distribution system of the hydrant pipe water network at Summarecon Mall Bandung. This final project has a scope, namely the implementation method which is carried out by analyzing through EPANET software. Several SNI regulations regarding hydrants were used in this research.With this research regarding the installation of hydrant pipe networks, it is concluded that the water discharge resulting from EPANET 2.2 results can provide sufficient water supply to extinguish fires. For advice, it is hoped that routine inspections of the pipe network can be maintained in optimal condition. The safety of the Summarecon Mall Bandung shopping center can be further improved by ensuring that the installation of the hydrant pipe network remains effective and efficient. Keywords: Hydrants, Pipe Networks, EPANET 2.2, Summarecon Mall Bandung.
Cover & Editorial Page JSTE Volume 1 Issue 1 September 2025 Journal of Smart Technology and Engineering Universitas Kristen Maranatha
Journal of Smart Technology and Engineering Vol. 1 No. 1 (2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cover & Editorial Page JSTE Volume 1 Issue 2 December 2025 Journal of Smart Technology and Engineering Universitas Kristen Maranatha
Journal of Smart Technology and Engineering Vol. 1 No. 2 (2025)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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