cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Gamal
Contact Email
journal.smartcity@ui.ac.id
Phone
081284537662
Journal Mail Official
journal.smartcity@ui.ac.id
Editorial Address
Smart City Center Universitas Indonesia, Gedung ILRC Lantai 3, Kampus Universitas Indonesia, Depok 16424
Location
Kota depok,
Jawa barat
INDONESIA
Smart City
Published by Universitas Indonesia
ISSN : -     EISSN : 2962780X     DOI : 10.56940/sc
Core Subject :
SMART CITY focuses on four main topics: energy and environment, infrastructure, ICT and mobility, and quality of life. Published biannually, it serves as a comprehensive platform for researchers and practitioners alike to access latest issues, findings, and best practices in the fields of smart cities. SMART CITY is published by CCR Smart City at Universitas Indonesia.
Arjuna Subject : -
Articles 44 Documents
 1   2   3   4   5 
ANALYSIS OF COST AND TIME EFFICIENCY IN CONTAINER DISTRIBUTION BETWEEN CONTAINER TRUCK AND FREIGHT TRAIN FROM INDUSTRIAL AREA TO PORT Imayanti, Indah; Soehodho, Sutanto; Yusuf, Nahry
Smart City Vol. 4, No. 2
Publisher : UI Scholars Hub

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

Abstract

Jakarta International Container Terminal (JICT) in Tanjung Priok Port , which serves export and import containers, can serve up to 5500 TEUs daily. However, no more than 1% of the total containers are transported by freight trains, meaning that 99% of container distribution from industrial areas is carried by trailer trucks. This condition causes a long queue at the container terminal entrance, resulting in delays in the services as well. Currently, Tanjung Priok Port is connected to rail transportation from Cikarang dry port with the frequency of twice a day with 30 flatcars (FC) for each trip. The capacity of one series of freight trains from Cikarang dry port to Tanjung Priok Port can reach 30 Feus or 60 Teus. However, the container distribution using freight trains is still less optimal because of the double handling at the JICT emplacement which is located outside JICT and the use of trailer trucks to move the containers from the area to JICT. The cost of transporting export and import containers always increases year by year because of the slow transportation due to inefficiency of the container depot location in Tanjung Priok area. In this research, the method used to determine the efficiency of container transportation is divided into three scenarios. The first scenario is when the container is fully transported by truck from the industrial area. The second scenario is when the container is transported by train and handled twice while entering JICT. Finally, the third scenario is when the JICT emplacement is located inside the JICT area, changing the business process of containers coming in and out, needing no stacking in the JICT container yard, relocating the container depot placement, consolidating containers, and automating equipment at JICT to reduce the cost and time of containers for export and import. After analyzing the costs and time of the three scenarios, it was found that the third scenario could reduce travel costs and shorten container time when exporting and importing. The 3rd scenario can reduce the cost by almost 50% from the 1st and 2nd scenarios due to container consolidation.
Success Factors Analysis in Sorong-Manokwari Railway Infrastructure's Project Evaluation with Fuzzy AHP Method Kambuaya, Flora Tresia Wehelmina; Rarasati, Ayomi Dita
Smart City Vol. 4, No. 1
Publisher : UI Scholars Hub

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

Abstract

An infrastructure project is a long-term project that has two consequences in the form of uncertainty related to risk and expansive costs. Are infrastructure projects a good long-run stimulus to growth economy? Particularly for new developing areas like Papua island where project preparation evaluation has to be established in order to implement the project. Railway infrastructure is a project initiated in 2018 by Indonesia President and is currently still under administration processing. As a new incubator project, the first train project in Papua Land contains several factors that may be essential to drive project success. The critical success factors as key factors in the preparation of railway infrastructure projects are seen as the main drivers for the success or failure in said project. This research aimed to find answers by problem formulation through the Analytic Hierarchy Process (AHP) technique, which applies triangular fuzzy number known as Fuzzy AHP. The technique obtained weighting criteria on for 82 indicators that were further identified to result in 27 critical success factors. Ten experts in relevant professions and structural positions in various government institutions were interviewed for the purpose of this research. The evaluation of project preparation carried out here is mainly focused on the project system approach in terms of management and party support as well as key factors for the success of the railway project.
GIS-BASED SWAT MODELING FOR SURFACE RUNOFF ASSESSMENT TO SUPPORT URBAN FLOOD RESILIENCE IN CENTRAL JAVA, INDONESIA Sholichah, Putri Amalia, Ms.
Smart City
Publisher : UI Scholars Hub

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

Abstract

Surface runoff significantly contributes to environmental hazards such as floods in Indonesia, including in Borobudur District. Based on watershed delineation, the administrative area of Borobudur District is predominantly located within the Sileng Subwatershed. The rehabilitation zones managed by PT Adaro Indonesia are located in several specific areas within this subwatershed. This study utilizes the SWAT (Soil and Water Assessment Tool) model integrated with GIS (Geographic Information System) to simulate surface runoff quantitaively in the Sileng subwatershed, part of the Progo watershed in Central Java Province. SWAT is applied in this research to simulate surface runoff in both watershed and subwatershed contexts. As a physically based model, it must be calibrated and validated to align with observed hydrological data. While the study area itself is rural, it exerts hydrological influence over downstream regions that are undergoing urban development. The SWAT calibration process yielded good model performance (NSE 0.67, RSR 0.58), although validation performance was unsatisfactory (NSE -0.06, RSR 1.03). SWAT simulation on the subwatershed scale consists of 35 HRUs (hydrological respons units) areas, dominantly by mixed forest (FRST) cover with steep slope (>25-40 %) and very steep slope (>40%). Shrubs (PAST) represent the smallest land cover category, predominantly found on very steep slope (>40%). High annual surface runoff category is primarily associated with dryland seasonal crops (AGRR) and residential areas (URBN) on flat slope (≤8%) and gentle slope (>8–15%), covering an area of 499.47 hectares. In contrast, low annual surface runoff category is mostly observed in mixed forests (FRST) on very steep slope (>40%), with a total area of 694.81 hectares. The watershed rehabilitation areas managed by PT Adaro Indonesia are concentrated in zones with low to moderate surface runoff categories. This study offers novelty by integrating GIS-based SWAT modeling with urban flood resilience planning in Central Java.
Empowering Sustainable Household Waste Management through Rubbin: App-Based Transactions using Google Maps API and QR Code Recognition Rimbawa, H.A. Danang; Arghanie, Muhammad Abditya; Renoult, Muhammad Rey; Ananda, Dea Dwi
Smart City
Publisher : UI Scholars Hub

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

Abstract

The Digitization of environmentally friendly technology must be applied to advance smart cities. Waste management carried out conventionally often causes irregularities in the classification data collection, difficulties in accessing information related to garbage collection schedules, and a lack of transaction history information, which causes a decrease in the quality of waste collection. The development of functional application features is urgently needed as a container for proper waste management. The Rubbin App has been created, which implements Google Maps API for route optimization and waste mapping, QR code recognition using Enhanced Adaptive Median Filter, and private chat for clients and collectors as additional features. The purpose of designing this research is to overcome the impacts of climate change, significantly reducing gas emissions, by proposing a digital waste management system by providing iOS and Android multiplatform applications with attractive and easy-to-use UI/UX interfaces. The Rubbin application utilizes Google Maps API technology to enable waste tracking and route optimization while employing QR codes to streamline the transaction process between clients and collectors, ensuring efficient waste management operations. The Rubbin application results show a change in the community's waste management habits, forming a culture of caring for the environment.

Page 5 of 5 | Total Record : 44

 1   2   3   4   5 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol. 4, No. 2 Vol. 4, No. 1 Vol. 3, No. 2 Vol. 3, No. 1 Vol. 2, No. 2 Vol. 2, No. 1 Vol. 1, No. 1