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Syapril Janizar
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jurnaltekniksipilcendekia@gmail.com
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+6289602817819
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jurnaltekniksipilcendekia@gmail.com
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Jl. Pahlawan No.69, Sukaluyu, Kec. Cibeunying Kaler, Kota Bandung, Jawa Barat 64987
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INDONESIA
Jurnal Teknik Sipil Cendekia (JTSC)
Published by Universitas Winaya Mukti
ISSN : 27236552     EISSN : 27233375     DOI : https://doi.org/10.51988/vol1no1bulanjulitahun2020
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
JTSC: Jurnal Teknik Sipil Cendekia is published by Civil Engineering Study Program, Faculty of Engineering, Planning and Architecture, University Winaya Mukti. This peer-reviewed journal is designated to publish articles that report the results of research in civil engineering science. JTSC: Jurnal Teknik Sipil Cendekia invites particularly manuscripts or research-based articles in the diverse topics include functional areas of Transportation Engineering, Structure, Design road and Bridge, Geotechnic, Management Project, Contruction Management, Hydrology and Water Resources, Information Civil Technology (ICT), Entrepreneurship Civil Engineering and Engineering Economics. The manuscripts or research-based articles that will be accepted are qualitative, quantitative research and mixed method written either in Bahasa or English. We are the editorial team, welcoming the papers submissions from various audiences or professions such as researchers, academicians, students, practitioners, regulators and others who interested in Civil Engineering studies.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 13 Documents
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Search results for , issue "Vol 6 No 1 (2025): February" : 13 Documents clear
TINGKAT KESADARAN PEREMPUAN TERHADAP KONSERVASI AIR DALAM MENDUKUNG PEMBANGUNAN BERKELANJUTAN DI JABODETABEK Koes Paulina Cantik, Bella; W, Anastasia; Fadilah, Shofwatul; Atika Putri, Hananda; Stephanie, Kezya
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 6 No 1 (2025): February
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v6i1.279

Abstract

Water use needs to be balanced with efficient management efforts so that quality and quantity are maintained along with population growth. One of the efforts that can support the maintenance of water quality and quantity is water conservation. Therefore, the role of women as the dominating party in water use and control is important in efforts to improve water conservation. This research uses Regression Analysis with 469 respondents, with the criteria that respondents are women over 16 years old and domiciled in the Jabodetabek area. A descriptive quantitative method is used for this research, by classifying the dependent variables, namely listening intensity, knowledge, so-cialization, implementation, and knowledge distribution. The selected independent variables were age, education, occupation, income, and ethnicity. These variables became the reference in making questionnaire questions to find out the factors that most influence water conserva-tion. The results showed that the knowledge factor possessed by respondents was the main factor influencing the level of awareness in the implementation of water conservation, with a category average value of 4,12. This is supported by the results of the study which show that respondents with a doctoral level of education have a much higher level of awareness than those with a junior high school level of education, with a mean score of 3,36.
EVALUATION OF MACHINE LEARNING MODELS FOR ROAD DAMAGE DETECTION AS A FRAMEWORK FOR A ROAD CONDITION MONITORING SYSTEM IN SUBANG Wibowo, Ari; Susanto, Susanto; Anisarida, An an
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 6 No 1 (2025): February
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v6i1.345

Abstract

  Unmonitored road infrastructure conditions can lead to delayed maintenance actions and pose safety risks to road users. This study aims to develop an automated classification system for detecting road damage levels based on visual image data using deep learning methods. Three Convolutional Neural Network (CNN) architectures were evaluated in this research: VGG19, MobileNetV2, and EfficientNetB0. Each model was assessed based on training and validation accuracy, loss values, and confusion matrix performance. Experimental results indicate that the VGG19 and MobileNetV2 model achieved the best performance in classifying road images into four categories: good, moderate, minor damage, and severe damage, showing more stable accuracy and generalization compared to the other models. This model was then integrated into the GIS ASA mobile application, a real-time machine learning-based tool designed to detect road conditions. The classification results from the mobile app are subsequently visualized through the GIS ASA web platform, enabling spatial and interactive monitoring of road damage. This study demonstrates that the application of deep learning technologies offers an efficient solution for road condition mapping and monitoring. Future improvements may include dataset expansion, field validation, and additional GIS features to support more accurate decision-making in transportation infrastructure management.
PEMERIKSAAN KELAIKAN FUNGSI BANGUNAN GEDUNG HOTEL DI KABUPATEN SERANG Janizar, Syapril; Setiawan, Felix; Schipper, Lucky Amperawan
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 6 No 1 (2025): February
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v6i1.354

Abstract

Sertifikat Laik Fungsi merupakan legalitas yang menjadi persyaratan bagi bangunan Gedung suatu kondisi bangunan gedung untuk dapat dimanfaatkan sesuai dengan fungsinya. Persyaratan tersebut mencakup pemenuhan persyaratan administratif dan persyaratan teknis sesuai dengan fungsi bangunan gedung yang diperiksa. Tujuan penelitian ini untuk menilai kelaikan struktur bangunan hotel di Kabupaten Serang melalui pengujian visual dan pengujian non destructive test menggunakan alat berupa hammer test dan cover meter. Pemeriksaaan secara visual mendapatkan hasil pengujian menunjukkan sebagaian besar elemen struktur berada dalam kategori ”cukup” hingga baik, meskipun menemukan beberapa bagian dengan kualitas ”kurang baik pada balok lantai atas. Pemodelan ulang struktur dilakukan dengan bantuan perangkat lunak dengan hasil menyatakan bahwa struktur dinyatakan aman. Berdasarkan hasil tersebut maka kesimpulan dari penelitian ini bangunan telah memenuhi persyaratan teknik untuk dapat diterbitkan sertifikat SLF dengan rekomendasi penguatan lokal pada bagian tertentu

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