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Journal : International Journal of Engineering, Science and Information Technology

Analysis of the Relationship of Domestic Sea Transportation to the Gross Regional Domestic Product of the Real Estate Sector in Indonesia Nur Alfionita, Firda Bunga; Setiawan, M Ikhsan; Prawito, Adi; Koespiadi, Koespiadi; Durrotun N, Ronny; Ismawati, Ismawati; Sutapa, I Ketut
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.486

Abstract

The economic slowdown due to the pandemic has negatively affected various sectors in Indonesia, including the real estate sector. Meanwhile, Java Island is still the center of the economy in Indonesia. This contrasts the conditions of regions outside Java, which are still experiencing development gaps. Despite being a minor contributor to GDP, areas outside Java, such as Maluku and Papua, have experienced rapid economic growth. This proves that, outside Java, there is still significant potential for growth and investment, although it is inevitable that it will face unique challenges and obstacles in the future. Some of the factors that cause this to happen are the lack of supporting infrastructure such as roads, limited skilled human resources, and connectivity and transportation mobilization in the area. Excellent and appropriate connectivity and mobilization are needed to support economic growth in an area. One option for mobilization tools for archipelagic countries like Indonesia is sea transportation. In meeting the needs of the property and real estate sector, sea transportation is one of the options of choice. Excellent and proper connectivity and mobilization can be a factor that supports economic growth as well as the real estate sector outside Java. In the real estate sector, maritime transportation is essential in the timely distribution of quality building materials and construction equipment to development sites. There is undoubtedly a link between marine transportation and property/real estate in Indonesia. The research method used in this study is a significant correlation analysis, namely Pearson Product Moment, to determine the relationship between two variables, namely Domestic Sea Transportation and Real Estate Sector GRDP. The results of the correlation data test in this study show that the Domestic Sea Transportation variable is positively correlated with the Real Estate GRDP variable. Indicated by the correlation coefficient value for each sea transportation variable of domestic ship visits (units) = 0.331, domestic ship visits (GT) = 0.504, the flow of Non-Crate and Container goods (unloading) = 0.251, the flow of Non-Crate and Container goods (loading) = 0.447. It can be interpreted that there is a positive relationship between the four sea transportation variables and Real Estate GRDP.
Analysis of The Relationship of Land Transportation With GRDP in Wholesale and Retail Trade Sector, Car and Motorcycle Reparation Raditya, Rizky Putra; Setiawan, M Ikhsan; Durrotun, Ronny; Bahaswan, Rizal; Prawito, Adi; Heka Ardana, Putu Doddy; Sutapa, I Ketut; Irwansyah, Defi
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.487

Abstract

Transportation Land transportation influences national economic growth. Due to the existence of land transportation modes, the national economy can continue to grow from year to year. This study analyzed the variable relationship between land transportation through road length data, road condition data, and GRDP in the wholesale and retail trade sectors. The results of this study show that good national road conditions have a very low positive correlation (0.079). And has an insignificant relationship to GRDP (0.665 0.05). National road conditions have a shallow level of positive correlation (0.074). And has a negligible relationship to GRDP (0.679 0.05). Damaged national road conditions have a superficial negative correlation (-0.040). And has an insignificant relationship to GRDP (0.823 0.05). National road conditions severely damaged did not pass the requirements test, normality test results (0.024 0.05). Provincial road conditions are good, with a positive correlation (0.681). And has a significant relationship to GRDP (0.00 0.05). Medium local roads have a good level of positive correlation (0.586). And has a substantial relationship to GRDP (0.00 0.05). The condition of damaged provincial roads has a low negative correlation (-0.103). It has an insignificant relationship to GRDP (0.563 0.05). The condition of the badly damaged national road does not pass the requirements test, the normality test (0.024 0.05). Moderate district/city road conditions have an average positive correlation (0.356). And has a significant relationship to GRDP (0.039 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05). The condition of district/city roads is badly damaged and has a shallow correlation level of (0.105). It has an insignificant relationship with GRDP (0.555 0.05).