bluuebunny/crossref_metadata_2025_split huggingface dataset:
Planning, Optimization and Development of River Transportation in Supporting The Development of Mega City IKN, Balikpapan and Samarinda
Authors: Hidayat Arief , Hadid Muhammad , Hijriah  
Published: June 2024

Abstract
This research aims to plan, increase the potential and optimize river transportation in the IKN area, Balikpapan City and Samarinda which can become one of the driving forces of the economy by moving people and goods more efficiently and integrated between other modes of transportation such as road, sea and air networks. River transportation is one of the main choices for the National Capital Region (IKN), Balikpapan City and Samarinda City as the IKN Megapolitan area. Because, the IKN Megapolitan area can be fully accessed by river transportation, and can reduce the burden on land transportation which can cause congestion. This river transportation is specifically related to the movement of passengers and logistics of industrial goods and services as well as food products to the IKN area. Indicators of regional characteristics, such as river physics, existing facilities, ship call data, origin destination data or OD matrix, regional spatial layout, and passenger and goods data are important in river development analysis and strategies. The method used uses descriptive analysis for qualitative data, while statistical analysis analyzes needs and analyzes strategies for developing river transportation in the future. The expected results are in the form of strategy documents, planning and optimization of river transportation development in the IKN region and its surroundings.
Implementing the Smart Village Concept for Disaster Relocation Area : A case Study of Mount Semeru Eruption Relocation Settlements in Lumajang Regency
Authors: Alfiah R , Koesoemawati D J 
Published: June 2024

Abstract
The eruption of Mount Semeru was able to attract national attention, raising the assumption that early warning conditions for the community were considered poor. This was motivated by the unpreparedness of residents in carrying out self-evacuation so many victims were lost and the community had to be homeless. The research location is in Sumbermujur Village, Candipuro District, Lumajang Regency with an area of 81 Ha. This study aims to determine the conditions, priority aspects, and adaptation strategies of the community and government in areas affected by the eruption of Mount Semeru. The method used in this study is a multilevel Analytical Hierarchy Process (AHP) to determine development priorities that can be carried out in implementing the smart village concept in the Mount Semeru relocation residential area. The smart village components studied include Smart Economy, Smart People, Smart Government, Smart Environment, and Smart Living. The results showed that the priority variable is smart People, with priority indicators on each variable being the use of information technology in production, distribution, and consumption schemes; level of education; Integrated online-based public services; Application of regulations related to sustainable villages; Educational facilities.
Measuring Levels of Infrastructure Development and its Impact on Regional Growth - Insights from Indonesia
Authors: Jatayu A , Zahara S , Syafitri R A W D , Dafadhilah S , Roosyanindhita D R , Sidiq M I , Priambodo M S 
Published: June 2024

Abstract
Infrastructure development is a linchpin for regional growth, especially in emerging economies like Indonesia. There have been many debates over the necessity of infrastructure investment over direct economic stimuli. This study delves into the critical role of infrastructure in shaping regional dynamics in Indonesia. We employ the Infrastructure Development Index (IDI), a composite metric amalgamating various infrastructure clusters into a singular value. A sample of strategic region in Indonesia are observed in this research, classified into urban and non-urban areas to highlight the different levels of impact the infrastructure development brings. Several regional development indicators such as: (a) economic growth; (b) poverty rate; (c) gini index; (d) human development index; and (e) unemployment rate is used to explore its relationship with infrastructure development. This research shows a nuanced pattern where mainly urban areas exhibiting higher IDI value and higher impact on its regional growth and development. While non-urban areas still experiencing lower impact due to the difficulties in infrastructure access and the disparity of access between the areas. It indicates the prevailing urban bias in infrastructure development, needing an improved urban-rural linkage on overall economic input-output processes. In sum, this study provides further insights into the pivotal role of infrastructure in regional development in Indonesia, offering a roadmap for informed decision-making in the pursuit of comprehensive and sustainable regional progress.
Spatio Temporal Variations of Ridehailing Use on Campus Travel in Surabaya City, Indonesia
Authors: Handayeni K D M E , Rahma N Z C , Anindya A I 
Published: June 2024

Abstract
Surabaya, one of Indonesia’s most densely populated cities, faces the challenge of massive urbanization and heavy traffic congestion. The city’s population of over three million, coupled with high mobility, has led to a surge in motorized vehicles, especially private cars. This is a direct consequence of the growth and development of the city. The prevalence of ride-hailing services in Surabaya has emerged as a common phenomenon, offering a solution to the rising demand for transportation services. By embracing ride-hailing services, the public has transitioned from traditional modes of transportation to digitally enabled, more convenient alternatives. From a spatial perspective, understanding the role of geographical factors is crucial in predicting ride-hailing trends. This research employs the Geographical Weighted Regression (GWR) method to analyze the factors influencing ride-hailing demand for students commuting to and from their campuses during different periods. Primary data collection is conducted through questionnaires to gather information about travel characteristics such as distance, time, cost, and frequency. Secondary data sources include data related to road density (arterial, collector, local roads), density, destination accessibility, diversity (land-use mix entropy), and transit access (bus stops and stations). The findings reveal significant variables influencing variations in ride-hailing demand for student commuters in Surabaya based on periods. These include travel characteristics (cost/time/distance), design (neighborhood road density), destination accessibility (tourist attractions, sports and leisure facilities, cultural and educational services, and commercial, and residential density), as well as transit access at bus stops and stations.
Incremental Housing Application to Enhance Kampung Resilience
Authors: Septanti D , Ula Z M , Sumartinah H R , Zahra V F , Etsahandy N A 
Published: June 2024

Abstract
Rapid urbanization without the cities’ ability to accommodate it can lead to the development of poorer area settlements in urban areas. The community, government, and non-governmental organizations (NGOs) have carried out various interventions to improve the condition of poorer area settlements. However, many problems remain unresolved, including the sustainability issues in poorer area settlement improvement. This study aims to formulate a strategy to ensure the sustainability of poorer area improvement efforts and kampung resilience by applying the concept of incremental housing using RISHA (Rumah Instan Sederhana Sehat), with Kampung Metal (Mepet Tanggul, translated as ‘next to the embankment’ in Indonesian) serving as a case study. Kampung Metal is located near the Bengawan Solo River embankment in Surakarta, Indonesia. Improvement of the housing units with incremental housing can strengthen the kampung resiliency and create a healthy, safe, and sustainable living environment. This study uses a qualitative strategy by conducting observation and content analysis on planning and report documents. The results show that the concept of incremental housing is suitable to be applied as an effort to improve poorer area settlements in Kampung Metal by improving the physical condition of the kampung through community participation to produce a resilient and sustainable living environment.
Formal Housing Livability Criteria in the Peri-Urban Area of Taman District, Sidoarjo Regency
Authors: Andrakayana M , Ariastita P G 
Published: June 2024

Abstract
Livability is an environmental system that contributes to physical, social, and mental well-being and is related to the satisfaction of living in a specific location. Taman District in Sidoarjo Regency, as one of the peri-urban areas near Surabaya, has residential areas that are experiencing positive growth, including 22 formal housing developments built by developers. The residents of these formal housing developments in the Taman District face several issues that affect their quality of life, including river pollution from industrial waste, road surface damages, poor water quality, and power outages. While there have been many institutions and studies discussing livability, specific research on livability in formal housing within peri-urban areas is still limited. Given this situation, there is a research gap in the field of livability assessment within the context of formal housing in peri-urban areas. Therefore, this research aims to formulate criteria that influence the livability of formal housing in the Taman District, Sidoarjo Regency. The research method used is the Delphi analysis technique conducted through three rounds of interviews with experts in housing and development field. By using this method, experts are able to provide considerations related to criteria that affect livability based on their knowledges and experiences. The whole analysis process resulted in the identification of 28 criteria, which are divided into five indicators: physical environments, economics, socials, facilities, and utilities. This research is important to help the government and developers in addressing livability issues in the research area.
From 15-Minutes City to Proximity Paradigm: Insights from Surabaya Rungkut Development Unit
Authors: Fabiansa A , Navastara A M , Yusuf M , Ramadhan M R , Akbar R A 
Published: June 2024

Abstract
Quality of life correlates with mobility and transportation. The massive use of motorized vehicles increases pollution and transportation costs incurred, thus increasing the negative impact on urban systems that should create a more responsive, efficient, and sustainable system in facing these challenges. Therefore, there is a clear urgency to realize the distribution of facilities and infrastructure into smaller units, one of which is achieved by the 15-Minutes City concept. This research uses Content Analysis and Network Analysis respectively to identify the types of facilities and amenities and measure the residential reachability of each facility. There are 15 facilities categorized into 7 types of facilities. This study found that within 15 minutes, there are facilities that are most accessible on foot, namely: grocery stores, pharmacies, and kindergartens, and by cycling, namely: grocery stores, places of worship, and kindergartens. It is hoped that the results of this study can serve as a reference for the government in formulating policies for providing facilities based on the reachability of various modes of transportation, especially walking and cycling.
Patterns of ride sourcing adoption among age groups in three metropolitan cities of Indonesia
Authors: Khaitami A M , Nurlaela S , Dharmowijoyo D B E 
Published: June 2024

Abstract
This paper aims to investigate the pattern of ride sourcing adoption among different age groups in Indonesia, represented by the three metropolitan regions. Using descriptive analysis and multivariate analysis (Principal Component Analysis), two distinct models were segmented according to age (under 25-year-old and over 25-year-old) and their characteristics that influence ride sourcing adoption were explored. The paper found some interesting patterns. Firstly, the average users of ride sourcing-based goods movement services are women under 25 years old, are college students, live in rented/boarding houses, have a high school degree or equivalent level of education, have 3 to 4 family members, on average have 2 cars and 1 motorcycle per family, have better access to shopping center facilities, educational facilities, restaurant, pharmacies or drug stores, main roads, medical facilities, pedestrian and cyclist facilities, and green open spaces, have a high time allocation for online activities or work/study, and have a high frequency of use of services for the food category before the pandemic. Secondly, comparing both age groups, 4 (four) types of ride sourcing services were formed among the groups in different ways, i.e., parcels; medicine and groceries; non-food; inner-city package and food service grouping were formed among the “under 25 years age” users; while the “above 25 years age” were grouping into users of medicines, groceries, non-food; inner-city parcels and out of the city packages; big parcels and out of the city letters; and foods. Thirdly, in both age group, the services of ride sourcing adoption were significantly correlated with socio-demographic factors like gender, employment status, income level, and ownership of a vehicle. Fourth, in both age group, the services were also positively and significantly impacted by increased time allocated for work and study, outside socializing, and online shopping. In contrast, a greater allocation of out-of-home maintenance had a negative effect. Fifth, in both age group, the services were significantly correlated with the different characteristics of the built environment. However, there were different pattern as well among the two groups such as for those over the age of 25, an increase in income will also result in an increase in service usage across all the services and the usage were in line with the high intensity of work/study from home. On the other hand, the under 25 age group tended to use all services more frequently if they spend more time for work or study.
Open Government Data for Urban Management in Indonesia’s Smart Cities
Authors: Rahmah C , Rilansari V , Ulhaq W D , Satyarthi J 
Published: June 2024

Abstract
Rapid implementation of Open Government Data (OGD) across the world comes as the result of the advancement of Information, and Communication Technology in the government sectors to support decision making process including for urban planning. In one side, countries such as European countries, UK, and US has been implementing OGD while developing the framework and the maturity standard to ensure its quality. In the other side, Indonesia had just begun to develop several OGD portals which some of the practices could be found in its smart city namely Jakarta, Bandung, and Surabaya. The established OGD portals goals are to achieve transparency, government accountability, support innovation and development. This data-rich portals have potential roles for creating data-driven urban management. However, very least research observed implication of OGD practices in Indonesia for urban management. Therefore, this study aims to answer the question on how OGD portal could support urban management in Indonesia smart cities. The study identifies the implication of three open government data portals operated by smart cities in Indonesia by extracting and analysing the available data for urban management. The identification will be conducted with descriptive qualitative method based on open data principles and data-driven urban management dimensions. The study finding will explore the OGD practice level for urban management in Indonesia and recommend the improvement if needed.
Monitoring Land Surface Temperature Trends in Indonesia
Authors: Sianturi R S , Perdana A P , Ramdani F 
Published: June 2024

Abstract
Monitoring Land Surface Temperature (LST) trends helps identify provinces vulnerable to temperature changes and aids in developing appropriate adaptation and mitigation strategies. This research article aims to monitor LST trends in Indonesia from 2000 to 2022 using MODIS Aqua Land Surface Temperature and Emissivity (MYD11A1) imageries. The study utilizes LST Day and LST Night datasets obtained from MYD11A1 datasets to achieve its research objective. Sens’ Slope is employed to identify and measure the magnitude and direction of temperature changes, while the Mann-Kendall trend test detects significant LST trends. GEE is used to process and analyze MODIS LST data. The findings show a significant increase in LST Night during the June-August (JJA) period in most provinces of Indonesia. LST Day data also stresses that some provinces in Indonesia are experiencing a warming trend. Elevation and population increases may contribute to the observed increasing LST trend. Notably, a short-term decrease in LST may occur within the long-term increasing LST trend.
Spatial Transformation Analysis in Menganti Subdistrict: A Study of Peri-Urban Area Typologies in the Face of Urban Expansion
Authors: Firmansyah F , Jatayu A , Imaduddin B R 
Published: June 2024

AbstractThe swift urbanization of Indonesian cities, notably Surabaya, has spurred population growth and a heightened demand for land, leading to the expansion of urban areas into peri-urban regions like Menganti District. This district, bordering Surabaya, experiences significant land-use change shaped by the city’s expansion, making it a compelling area for analysis due to its complex dynamics. This study aims to analyze Menganti’s peri-urban spatial transformation and its typology based on the land-use triangle continuum theory. Using indicators like land-use proportions, building density, and educational and healthcare facility distribution, the analysis delineates four zones: Urban fringe, Urban-Rural fringe, Rural-Urban fringe, and Rural-fringe zones. The analysis further involves comparing land-use maps from 2017 and 2022, revealing that Urban fringe and Rural fringe zones primarily witness residential land use growth, while Urban-Rural fringe and Rural-Urban fringe display a mix of residential, industrial, commercial, and warehouse land use growth. Analyzing factors influencing spatial transformation in Menganti’s peri-urban area through Delphi and AHP techniques underscores elements like trend of land-use change, road networks, trade facilities, distance from the district center and Surabaya city, and land prices as pivotal influences. Understanding these dynamics aids in comprehending the evolving landscape and guiding sustainable development strategies in peri-urban regions experiencing urban expansion.
Alterations in Surabaya resident’s travel habit brought on by the Covid-19 pandemic
Authors: Mahardi P , Firmansyah AR , Supriyatno D 
Published: June 2024

Abstract
This paper discusses changes in the travel patterns of the people of Surabaya City as a consequence of the Covid-19 outbreak. This study looked at socioeconomic and household aspects, spatial characteristics, perceptions of the coronavirus disease (COVID-19), and respondents’ intentions to partake in activities outside of the home under the new normal. It also looked into respondents’ virtual activity behaviour during the COVID-19 pandemic. The authors carried out web-based and face-to-face questionnaire survey on the characteristics of travellers, virtual pursuits throughout the pandemic and the desire to participate in activities outside the home of 354 respondents. Research on virtual activities conducted during the Covid-19 pandemic indicates that working or studying online accounts for the majority of virtual activity (five to six times per week). On the other hand, ordering meal delivery and shopping for basic and secondary requirements online are rare instances of virtual activity. With the exception of going shopping for basic necessities, more than 60% of respondents decided to cut back on their outside activities while maintaining the same frequency of activity as before the pandemic.
Ride-hailing Service and The Shape of Urban Mobility (Case Study: The City of Makassar, Indonesia)
Authors: Natalia Venny Veronica , Musu Zean Amadeus 
Published: June 2024

Abstract
The significant gap between supply and demand of flexible and comfortable public transport within cities in the lower-income countries encourages the opportunity for the private sector to provide a ride-hailing service. Since its introduction in 2010, the ride-hailing service has continued to grow and has shaped urban mobility in the past twenty years. Due to the growth of ride-hailing services, some concerns arise regarding their contribution to the increasing traffic volume and the increased dependency on smaller-capacity vehicles in citizen mobility. This study aims to: 1) analyze the travel patterns of ride-hailing users based on their mobility needs; 2) analyze the relationship between travel characteristics and users’ socio-economic background and travel characteristics; 3) analyze the implication of ride-hailing users in shaping Makassar’s urban mobility. This study focused on the city of Makassar as the case study. The data in this study was obtained from an online survey of ride-hailing users with 270 samples. Several approaches are used for the analysis, i.e., descriptive statistics, spatial analysis, and network analysis. The result shows that 1) Most of the ride-hailing users are young generation (Gen Z). They perform a short-distance trip daily (internal trip within the district). 2) Regardless of the users’ age, income, and private vehicle ownership, ease of service is the foremost preference of the users since it is application-based and can be accessed using a smartphone. Door-to-door service is also one of the advantages provided by ride-hailing services.
Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations
Authors: Donat Markus G , Mahmood Rashed , Cos Pep , Ortega Pablo , Doblas-Reyes Francisco 
Published: June 2024

Abstract
Projections of near-term climate change in the next few decades are subject to substantial uncertainty from internal climate variability. Approaches to reduce this uncertainty by constraining the phasing of climate variability based on large ensembles of climate simulations have recently been developed. These approaches select those ensemble members that are in closer agreement with sea surface temperature patterns from either observations or initialized decadal predictions. Previous studies demonstrated the benefits of these constraints for projections up to 20 years into the future, but these studies applied the constraints to different ensembles of climate simulations, which prevents a consistent comparison of methods or identification of specific advantages of one method over another. Here we apply several methods to constrain internal variability phases, using either observations or decadal predictions as constraining reference, to an identical multi-model ensemble consisting of 311 simulations from 37 models from the Coupled Model Intercomparison Project phase 6 (CMIP6), and compare their forecast qualities. We show that constraining based on both observations and decadal predictions significantly enhances the skill of 10 and 20-year projections for near-surface temperatures in some regions, and that constraining based on decadal predictions leads to the largest added value in terms of probabilistic skill. We further explore the sensitivity to different implementations of the constraint that focus on the patterns of either internal variability alone or a combination of internal variability and long-term changes in response to forcing. Looking into the near-term future, all variations of the constraints suggest an accelerated warming of large parts of the Northern Hemisphere for the period 2020–2039, in comparison to the unconstrained CMIP6 ensemble.