30 research outputs found

    Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach

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    Infrastructure development in Indonesia creates massive impacts on the economy. The Light rail transit (LRT) of greater Jakarta (Jabodebek) project has been estimated to have cost more than 29 trillion rupiahs due to land acquisition and route planning. The urban transit development may impact to the price of property including residential, commercials and offices along the route. This research aims to determine variables affecting the price elasticity of property and the correlation to station proximity. Data mining through web scrapping was used to assess the degree of correlation between price elasticity and station location. The result shows that approximately 13% of the commercial property was spread over a distance of 1 km from the LRT station. The closer a property to transit station, the price will be twice cheaper compared to those located further. The findings also show variables that highly contribute to property prices including schools, hospitals, and proximity to some of transit stations located in city center of Jakarta and building density

    Multi-Criteria Decision Making for Photovoltaic Alternatives: A Case Study in Hot Climate Country

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    Photovoltaic (PV) experiences significant growth and has installed in many locations worldwide over the past decades. However, selecting the best alternative of PV system remains a problem in developing countries which often involves both interest and multiple objectives and from stakeholders. This research aims to select ideal PV model in an isolated island in the eastern part of Indonesia. Multi-criteria decision making (MCDM) will provide an ideal solution that uses a systematic process of decision making. This research proposes an alternative concept of MCDM by taking into account best-worst method and VIKOR method. In general, the main purpose of the both methods are to obtain weights and rank alternatives with the advantages of less information required and produce a more consistent result compared to AHP method. The result shows the best alternative for PV installation, which offers the highest power and potentially developed not only for daily access to electricity but also to support economic activities such as tourism and aquaculture

    Relationship Between Leadership and Commitment with Quality Performance on U-Th-REE Processing Pilot Plant Construction in BATAN

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    Management area of leadership and commitment in the quality management system is a mean to achieve successful functions, even more on construction industry. The objective of this research is to analyze the correlation between leadership and commitment focus management area and quality performance as indicated by rework. Research location is uranium (U), thorium (Th), and rare earth elements (REE) processing pilot plant construction area in Center for Nuclear Minerals Technology-BATAN. Primary data were collected from the 36 of 37 submitted questionnaires, and representing 97 % response rate. The research used descriptive analysis, which depends on the poll and the use of Statistical Package for the Social Sciences (SPSS) main program for data analysis. The relationship between leadership and commitment and quality performance was analyzed using spearman rank correlation coefficient. Findings of research provide guideline and alert to project managers or management of organization where leadership, commitment, infrastructure, and environmental work have moderate to strong correlation to rework level. The results further revealed that there is no relationship between responsibility and authority for the management system and organizational policy and construction quality performance. The research provides evidence, in fact to achieve the quality performance of a pilot plant construction must be concerned with leadership attribute, maintaining commitment and provide support resources on the whole project cycle.  Area manajemen kepemimpinan dan komitmen dalam sistem manajemen mutu adalah sarana untuk mencapai keberhasilan suatu pekerjaan, terlebih pada industri konstruksi. Tujuan dari penelitian ini adalah untuk menganalisis hubungan antara area fokus manajemen kepemimpinan, komitmen, dan kinerja kualitas yang ditunjukkan dengan pengerjaan ulang (rework). Lokasi penelitian adalah area kontruksi pilot plant pengolahan uranium (U), torium (Th), dan unsur logam tanah jarang (LTJ) di Pusat Teknologi Bahan Galian Nuklir-BATAN. Data primer merupakan hasil 36 dari 37 kuisioner yang dikirimkan, dan mewakili tingkat respons 97 %. Penelitian ini menggunakan analisis deskriptif, yang bergantung pada polling dan menggunakan program utama Paket Statistik untuk Ilmu Pengetahuan Sosial (SPSS) untuk analisis data. Hubungan antara kepemimpinan dan komitmen dan kinerja kualitas dianalisis dengan menggunakan koefisien korelasi pemeringkatan spearman. Hasil penelitian memberikan panduan dan peringatan kepada manajer proyek atau manajemen organisasi bahwa kepemimpinan, komitmen, dan infrastruktur serta lingkungan kerja memiliki korelasi menengah hingga sangat kuat terhadap tingkat pengerjaan ulang. Hasil lainnya mengungkapkan bahwa tidak ada hubungan antara tanggung jawab dan wewenang sistem manajemen serta kebijakan organisasi dengan kinerja kualitas konstruksi. Penelitian ini memberikan bukti bahwa sebenarnya untuk mencapai kinerja kualitas konstruksi pilot plant harus memperhatikan atribut kepemimpinan, mempertahankan komitmen, dan memberikan sumber daya pendukung pada keseluruhan siklus proyek

    Creating Added Value for Urban Transit in Developing Country: A Case Study of Transit-Oriented Development Project

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    Transit-Oriented Development (TOD) is an approach of regional development in which there is a concept of integration between land, transportation, environment, and use. However, as a new idea in Indonesia, the development of TOD cannot be found yet. the TOD project for Jakarta LRT is the first idea for TOD implementation in Indonesia. From the results of the initial evaluation, it was found that the prepared TOD design of Jakarta LRT still refers to the development of conventional apartment buildings. The implication of this practice is that the benefits of TOD are not utilized, and regional development will not be in line with expectations. This research aims to improve the function of the project while fulfilling the characteristics of TOD by producing alternative designs that have added value. To achieve this goal, Value Engineering studies are used as the methods. After the benchmarking with case studies are done, the process of developing the existing TOD design is then carried out. As a result, the design of the conceptual development of TOD for Jakarta LRT is proposed as an alternative to the conventional property development, in which the benefits of TOD implementation can be obtained

    Lean Construction Practice on Toll Road Project Improvement: A Case Study in Developing Country

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    Construction is a crucial industry that drives a nation's economic growth, yet it often faces inherent challenges related to productivity and waste generation. Lean Construction (LC) has emerged as a promising approach to address these challenges. However, despite its success in various construction projects, some gaps in the practical adoption of LC hinder its widespread practitioner uptake. Therefore, to close the gap, the objective of this study is threefold: identify waste factors of construction activities, determine suitable lean tools for project performance improvement, and assess the impacts of the implementation of lean tools on project completion time and costs. A toll road project in Indonesia was investigated as the case study. A combined research method was employed by administering a questionnaire survey to pertinent project participants, conducting in-depth interviews, and analyzing relevant documents to achieve these objectives. This study discovered 15 non-value-added (NVA) activities that can be eliminated to enhance overall project performance. Most of these activities can be accommodated using coordination and collaboration, while some require a more comprehensive approach, including standardization, the Five S, crash programs, and overlapping techniques. Implementing lean tools resulted in a 19.17% reduction in project completion time, although it contributed to a 5.33% decrease in organizational profit compared to traditional approaches. The findings of this study hold the potential to benefit those facing similar issues, not only in emerging countries but also in developed economies grappling with similar contexts. Doi: 10.28991/CEJ-2023-09-12-016 Full Text: PD

    Infrastructure Performance Indicators for Sea and Air Transportation Sectors in Indonesia

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    This research is conducted to assess infrastructure performance in Indonesian sea and air transportation sector. The performances are assessed based on indicators which are identified within the initiation of this research. There are seven indicators identified which are the number of infrastructure existed; passengers demand per year; cargo demand per year; local government revenue; passenger growth per year; cargo growth per year; and the city population. The aim of this paper is to present the most significant indicators which are affecting the infrastructure performance. Based on a descriptive analysis, it can be showed that these indicators affect Indonesian sea and air transportation performance. Three perspectives from central government, local government and academics were further elaborated in this paper. From the government point of view, the most important indicator of sea and air transportation performance are the numbers of ports or airports and passenger growth per year

    Land Value Capture Modeling in Residential Area Using Big Data Approach Method

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    The increase in the number of train ridership in Jakarta induced the government in constructing more rail infrastructures for example Light Rail Transit as a new option. However, this project is not supported by sufficient funds. Therefor new funding sources are needed to include all process which comprises of development, operation, and maintenance. Land Value Capture modeling is one of such solutions because it refers to the idea that all portions of land which arises from the presence of public infrastructure need to be returned. This research was carried out to obtain hedonic price modeling as a basic reference in capturing land values, by identifying variables that affect the increase of residential property prices obtained using big data approach and web scraping techniques. The result acquired from scraping Lamudi.co.id and Rumah.com websites was 1,237 properties located in South Jakarta. Furthermore, by plotting ArcGIS, 105 data located in catchment areas about 1 km from LRT line Dukuh Atas-Cawang station were obtained following Transit-Oriented Development (TOD) standard. According to the calculated SPSS, the increase in residential property value was approximate to the mall and CBD area with significant values of 0.845 and 0.819, which indicate a highly potent correlation

    Prioritizing airport development plan to optimize financial feasibility

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    Air transportation plays a significant role not only in connecting remote and isolated areas but also in enhancing national economic development. Indonesia, a country consisting of more than 17,000 islands, has 162 airports administered by its government through the Directorate General of Civil Aviation (DGCA) of the Ministry of Transportation. In response to budget constraints to expand these airports for services, the government has initiated collaboration with the private sector to develop airports. This paper aims to assist decision makers in deciding which of the 162 airports should be prioritized for partnership based on project feasibility. The study used qualitative and quantitative approaches, employing an analytical hierarchy process (AHP) method, multi-criteria weighting, and financial feasibility to analyze the findings. As a result, the prioritized airports recommended for partnership with the private sector are expressed in a quadrant priority of scale

    Enhancing Value for Money of Mega Infrastructure Projects Development Using Value Engineering Method

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    AbstractInfrastructure development plays an important role to stimulate the nation's economic growth. During 2011, infrastructure industry contributed 5.5% to the GDP of Indonesia with real growth of 9.3%. Two mega infrastructure projects have been developed in the past few years: Sunda Strait Bridge (SSB) to connect Sumatra and Java Islands, thus increase economic integration between the two major islands, and; Soekarno-Hatta International Rail Link (SHIARL) as an alternative mass transportation which is expected to provide accessibility and mobility for people and goods around Greater Jakarta area to the airport. The two mega infrastructure projects listed in MP3EI program in 2011 required comprehensive study in the aspects of planning, funding, and techniques of projects developments. This research is proposed to produce a conceptual design of SSB and SHIARL in order to gain maximum result and generate added values to the projects. This research employed a combination of quantitative and qualitative methods through questionnaire survey distributed to the related stakeholders of the projects and focus group discussion (FGD). The results identified additional functions for innovation to both mega infrastructure projects. Life cycle cost analysis confirmed that there is an increasing in value for money from the additional functions in respective projects

    Towards Self-sufficient Demand in 2030: Analysis of Life-cycle Cost for Indonesian Energy Infrastructure

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    In 2015, the government of Indonesia launched the development of The 35,000 MW of power capacity. This project is required to stimulate economic growth and production in Indonesia. However, the project requires a huge financial investment, estimated to be about US$ 90.90 billion. Considering this situation, the construction of effective and efficient power plants based on energy potential in Indonesia is necessary. This research proposes alternative power plant development based on multiple linear regression and peak load analysis approaches. The results of this research show that 33% of the total power plants will be constructed in Java-Bali and the remaining 67% will be spread across Indonesia. Total energy demand in Indonesia is estimated at about 47.345 MW, with a total investment cost of about 1,813.32 trillion rupiah and operation and maintenance costs of about 289.13 trillion rupiahs per year. The research presented here also shows the use of renewable energy power plants increasing from 27% to 34% compared to the existing calculation
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