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Dwi Sulisworo
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Journal of Novel Engineering Science and Technology
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618916     EISSN : 29618738     DOI : https://doi.org/10.56741/jnest.v1i02
Core Subject : Science, Social, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Mechanical Engineering
Journal of Novel Engineering Science and Technology is a multi-disciplinary international open-access journal dedicated to natural science, technology, and engineering, as well as its derived applications in various fields. JNEST publishes high-quality original research articles and reviews in all of the disciplines mentioned above. All papers submitted will go through a rapid peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before. All accepted manuscripts will be indexed in DOAJ, EBSCO, and Google Scholar. The indexation in SINTA, Scopus, and WoS will be provided in the future to provide maximum exposure to the articles.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 72 Documents
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Seismic Performance of FRP-Retrofitted RC Building Using Pushover Analysis Yusuf, Nabil Mochammad; Wibowo, Ari; Anggraini, Retno
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1452

Abstract

The seismic evaluation of existing bank office buildings is critical for ensuring post-earthquake operational continuity. This study investigates a 14-story RC bank building in Kendari using the Nonlinear Static Procedure (NSP) per ASCE 41-17, targeting an Immediate Occupancy (IO) performance level. The initial analysis revealed a critical contradiction: while the structure's global performance appeared to meet the IO target, this assessment was found to be misleading. A detailed, element-based analysis identified a concealed local failure where a critical beam reached the Life Safety (LS) performance level, caused by a non-trivial Positive Moment at the support. A sequential Fiber Reinforced Polymer (FRP) retrofitting strategy was then implemented. The primary contribution of this study is the demonstration of the Failure Migration phenomenon. It was shown that a naive, 'single-point' retrofit (on LS-1) did not solve the problem but merely shifted the failure mode to the next weakest element (LS-2). This sequential retrofitting procedure proved necessary to track the migrating failure, which moved non-linearly between various floors, until all migrating vulnerabilities were eliminated. This finding proves that a sequential procedure is necessary to address Force Redistribution and achieve a true IO performance. The final minor global base shear increase (0.16%) was only a secondary benefit, confirming the objective was local vulnerability elimination, not a significant increase in global stiffness.
A Low-Cost Wearable System to Detect Fall and Non-Fall Activities for Elderly Individuals Syamlan, Muhammad Adib; Arifin, Ahmad; Pramudijanto , Josaphat; Arrofiqi, Fauzan; Syamlan, Muhammad Ariq; Noor, Raihan Aria Muhamad; Suhartono, Alif Syihabudin Fawwaz
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1534

Abstract

As the elderly population grows, the prevalence of age-related health conditions such as cardiovascular diseases, cognitive decline, and mobility impairment is also increased. Among these health conditions, falls are considered one of the greatest threats to elderly individuals. A low-cost wearable fall detection system is designed, with the purpose of monitoring and detecting their activities. Three master modules were constructed, with each consisting of an inertial sensor, a microcontroller, and a power supply circuit block. The data were collected using IMU MPU6050 and preprocessed using the MCU ESP32. Each master module is also supplied using a 3.7V 1S LiPo battery. 18 healthy subjects, consisting of 13 males and 5 females, agreed to volunteer for the experiments. They were instructed to do 8 different activities, including non-fall (stand still, sit-to-stand, walk, and sleep position) and fall events (forward fall, sideways fall, and backward fall). Overall, the system showed a good performance using the Multilayer Perceptron (MLP) algorithm with an accuracy of 95.3% across all activities. While misclassification happens between classes, our system is still able to distinguish between non-fall vs. fall events with 100% accuracy. Cost analysis was also conducted; the overall cost for the three master modules in our proposed system is $65.4. This is cheaper than commercial fall detection systems and other related research, and our proposed system can also be used continuously. The system will alert caregivers to the immediate attention of elderly individuals.

Page 8 of 8 | Total Record : 72

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