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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 21 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

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Abstract

Pengembangan Website SATUINBOX di PT. X Nathaniel Valentino Robert; Widjaja, Andreas
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.13292

Abstract

The rapid growth of online businesses demands solutions for effective customer communication management. PT. X developed a ticket-based chat platform to facilitate communication management between sellers and customers. The purpose of this internship project is to develop the frontend of the website with a focus on implementing a responsive and functional UI/UX design and API integration. The method used is Agile Scrum with a daily sprint approach in software development. Data collection techniques were carried out through direct observation and interviews with the development team. During the internship, the intern was responsible for implementing the UI/UX design through page slicing and integrating the backend API using Next.js and TypeScript. Responsiveness testing was performed to ensure proper functionality across various devices. The results showed that the platform was successfully implemented with a responsive interface and features that function optimally, including API integration and performance optimization. The conclusion of this study is that the frontend development successfully improved the platform's performance and enhanced the user experience.
Pengembangan Sistem Informasi Berbasis Web Untuk Pengolahan Data Kerjasama, Kegiatan Mahasiswa, Dan Prestasi Mahasiswa Di Fakultas Teknologi dan Rekayasa Cerdas Universitas Kristen Maranatha Nicole Jade Tirtanimala; Senjaya, Wenny Franciska
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.13314

Abstract

The management of cooperation data, student activities, and student achievements at the Faculty of Technology and Intelligent Engineering (FTRC) still faces several issues in terms of efficiency, accuracy, and data availability. To address these problems, a web- based integrated information system was developed to facilitate the recording, management, and reporting of data within the faculty. This system includes core modules such as user account management, student organization activities (HIMA/SEMA), DPBA activities, student achievements, institutional cooperation (MoU/PKS/IA), and system activity logs. The system was developed using the waterfall method and tested through blackbox testing to ensure each function operates according to the requirements. Test results showed that all modules functioned correctly as designed. The implementation of this system improves the efficiency of data processing and supports more accurate and faster administrative processes and decision-making at the faculty level.
Evaluasi Segmentasi Otak dan Prediksi Overall Survival pada Dataset BRATS 2020 Fahlevi, Annisa Maizano; Saragih, Riko
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.13880

Abstract

Overall survival (OS) assessment in glioma patients is a crucial component of MRI-based medical image analysis, as OS estimation directly influences clinical decision-making and treatment planning. One of the central challenges in developing image-based predictive models lies in the dependency on accurate tumor segmentation. This study aims to construct an MRI-based OS prediction model using the Brain Tumor Segmentation 2020 (BraTS 2020) dataset by incorporating two types of masked images: ground truth masks and automatically generated predicted masks derived from a 3D U-Net segmentation model. OS classification was grouped into three categories (< 10 months, 10–15 months, and > 15 months). The predictive model achieved an accuracy of 0.9792 when using ground truth masks and 0.9583 when using predicted masks. These findings suggest that a fully automated deep-learning–based segmentation pipeline can approximate the performance of manual segmentation and holds strong potential for large-scale clinical applications where manual annotation is impractical.
Perancangan dan Pengembangan Sistem pada Beberapa Proyek di PT X Olivia Justine Audia; Adelia, Adelia
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.14634

Abstract

This report discusses the implementation of an internship as a system analyst at PT X which is motivated by the company’s need for structured system analysis and documentation in the development of information systems across various projects. The purpose of this report is to explain the implementation of tasks, involvement in projects, and contributions made during the internship. The internship activities involved three system development projects, namely in a reinsurance company, a garment company, and a school. The methods used include observation and analysis of business processes, while data collection techniques consist of primary data obtained through direct involvement in projects and discussions with the team, as well as secondary data derived from internal company documents. The results of the internship activities include adding detailed information to specific sections of the Functional Specification Documents (FSD), preparing Minutes of Meeting (MoM) based on System Integration Testing (SIT) meetings, developing mapping documents and formula mappings, designing Business Process Model and Notation (BPMN), preparing FSD documents, and designing wireframes. The conclusion of this report indicates that the role of a system analyst plays an important contribution in bridging business needs with system development, while also providing practical experience in analysis, documentation, and project coordination processes in information system development across various client companies.
10.28932 Perancangan Dashboard Visualisasi Data untuk Analisis Performa Pemesanan Hotel TripVerse Wiyanto, Elroy Matthew
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.14750

Abstract

The rapid growth of online hotel booking platforms generates a large volume of transactional data that can be utilized to support business performance analysis. However, such data are often not presented in a structured and easily interpretable form. This study aims to design and implement an admin dashboard based on data visualization to support hotel booking performance analysis. The dashboard presents key performance indicators, including Occupancy Rate, Average Length of Stay (ALOS), and Revenue per Available Room (RevPAR), through graphical and statistical summaries. The research method consists of requirement analysis, system design using Unified Modeling Language (UML), web-based dashboard implementation, and functional testing using the black box testing method. The results indicate that all dashboard features function properly and are able to consistently display hotel booking performance data based on selected time periods. The developed dashboard is expected to assist administrators in monitoring performance and making data-driven decisions more effectively.
Strategi Digital Marketing Melalui Sosial Media Dan Marketplace Dalam Meningkatkan Penjualan Produk Handoko, Ebenhazer Richard; Imbar, Radiant Victor
Journal of Smart Technology and Engineering Vol. 2 No. 1 (2026)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i1.14816

Abstract

This internship was conducted in the Digital Marketing division of PT Jayamandiri Gemasejati (JG Motor), an official Yamaha motorcycle dealer. The internship aimed to implement and evaluate digital marketing strategies to support the company’s promotional activities. The methods applied included social media management, marketplace optimization, creative content development, and paid advertising management to increase audience awareness and engagement. All activities were integrated into daily routine tasks to comprehensively support student learning outcomes. The results indicate that the implementation of digital marketing strategies through social media and marketplaces significantly expanded product information reach (increasing awareness) and built more effective interaction and communication with potential consumers (increasing engagement). Creative content management tailored to Yamaha product categories and promotional programs played an important role in maintaining the consistency of campaign performances. Overall, this internship contributed to improving the company's brand awareness and engagement and supported the development of student competencies in the field of digital marketing.

Page 2 of 3 | Total Record : 21

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