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All Journal Jurnal Transportasi Jurnal HPJI (Himpunan Pengembangan Jalan Indonesia) Dinasti International Journal of Digital Business Management Jurnal Teknik Sipil Cendekia (JTSC) Akselerasi Jurnal Ilmiah Teknik Sipil CRANE: Civil Engineering Research Journal Geoplanart Greenation International Journal of Law and Social Sciences
Anisarida, An An
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Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Education Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation

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IDENTIFIKASI TIPOLOGI JALUR PEJALAN KAKI DI KORIDOR JALAN BANDUNG – CIREBON DESA TANJUNGSARI Kusumawati, Shinta; Nurdiana, Deden; Anisarida, An An
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 5 No 1 (2024): February
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v5i1.188

Abstract

Pedestrian paths or pedestrian paths are facilities that must exist in a city. Pedestrian paths generally function to facilitate pedestrian movement from one place to another easily, smoothly, safely, comfortably and independently. Pedestrian paths are created so that road users, especially pedestrians, can avoid accidents and can enjoy walking activities safely, relaxed and comfortably without having to worry about vehicles crossing them. The unavailability of pedestrian paths on the Jalan Bandung - Cirebon corridor in Tanjungsari Village, Tanjungsari District, Sumedang Regency has caused various problems related to pedestrian safety with many traffic accidents occurring on this route. As a first step in creating a concept plan for pedestrian routes in the Jalan Bandung - Cirebon corridor, it is necessary to identify the typology of pedestrian routes using an overlay analysis method between the land cover map and the spatial pattern map. The study findings in the form of segments will become a land plan for planning pedestrian paths that comply with safety and comfort standards. The results of the analysis state that there are 3 (three) segments that can be used as pedestrian path plans, namely road segment 1 (one) in the trade and services zone in the south with a segment length of 450 meters, road segment 2 (two) in the mixed zone with segment length of 476 meters and segment 3 (three) in the trade and services zone in the north with a segment length of 374 meters, which will be the basis for determining further analysis.
KUALITAS SISTEM INFORMASI MANAJEMEN DAN EFEKTIVITAS PENGAMBILAN KEPUTUSAN PADA PERUSAHAAN KONSTRUKSI DI JAWA BARAT DARI PERSPEKTIF: TEKNOLOGI INFORMASI, MANAJEMEN PENGETAHUAN DAN PENGENDALIAN INTERNAL Fitri Anggaraeni, Annisa; Anisarida, An An; Janizar, Syapril; Amijaya, Dodi Tisna
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 5 No 2 (2024): July
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v5i2.204

Abstract

Construction companies in carrying out their activities require management information systems and technology in decision-making. The purpose of this research is to know and analyze the impact of information technology, knowledge management, and internal control on the quality of management information systems, which implies the effectiveness of decision-making for construction companies in West Java, both simultaneously and partially. This study employs a quantitative, cross-sectional research method. The research population is 1160 construction companies in West Java, with a sample of 150 construction companies in West Java consisting of 3 observation units, namely project managers, site engineers, and site managers. The research findings reveal that information technology not only supports but also significantly enhances the quality of management information systems. Furthermore, knowledge management directly influences the improvement of a good quality management information system, which means that knowledge management has a direct and significant positive impact on the quality management information system. Information technology, knowledge management, and internal control can enhance effective decision-making through quality management information systems.
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.
Co-Authors -, Febrian Ari Wibowo Bima Lutfi Fuad Dany Hamdani Dedi Rusmayadi Dodi Tisna Amijaya Edi Kurniawan Engelbertha N. Bria Seran Fitri Anggaraeni, Annisa Gary Raya Prima Gary Raya Prima Hafudiansyah, Edward Hernawan Hernawan Kusumawati, Shinta Lathifah Nasayyidah Sopian Nurdiana, Deden Slamet Prabowo Sri Handayani Sukadarminto, Sukadarminto Susanto Susanto Syapril Janizar Wimpy Santosa