scholarly journals EVALUASI FAKTOR HAMBATAN SAMPING PADA PENENTUAN KAPASITAS JALAN STUDI KASUS: JALAN JENDRAL SUDIRMAN JAKARTA

2021 ◽  
Vol 4 (4) ◽  
pp. 855
Author(s):  
Yulia Rosaria Kunarti ◽  
Najid Najid

Technological developments and economic growth in the DKI Jakarta area have resulted in increased development in various fields, that the need for transportation facilities is increasing in the center of Jakarta, especially on Jalan Jendral Sudirman, traffic congestion is caused by an imbalance between increased use of vehicles and the growth of available road infrastructure, and the capacity of the existing road is smaller than the capacity of the planned road, all of which result in side obstacles. The purpose of this study was to analyze and evaluate side barriers in determining traffic capacity in various conditions and certain times, based on the 1997 MKJI guidelines. Calculating road capacity using secondary data from research that has been validated by previous researchers. in 2020 by Sarah Haryati, that data is obtained on Jalan Jendral Sudirman, Jakarta. In addition, we also use questionnaire data in the form of a google form to get the perception of these side barriers. The results obtained that the Jalan Jendral Sudirman Jakarta section is in the Very Low class in the morning, afternoon, and evening. For the next research, it is expected to specifically make a questionnaire to focus more on getting more valid data. ABSTRAKPerkembangan teknologi serta pertumbuhan ekonomi di wilayah DKI Jakarta mengakibatkan peningkatan pembangunan di berbagai bidang, sehingga kebutuhan sarana transportasi semakin meningkat pada pusat kota Jakarta terutama pada jalan Jendral Sudirman, kemacetan lalu lintas disebabkan oleh ketidak seimbangan antara peningkatan penggunaan kendaraan dan pertumbuhan prasarana jalan yang tersedia, serta kapasitas ruas jalan yang ada lebih kecil dari kapasitas jalan yang direncanakan, semua itu mengakibatkan adanya hambatan samping. Tujuan penelitian ini dilakukan untuk menganalisis dan juga mengevaluasi faktor hambatan samping pada penetuan kapasitas lalu lintas di berbagai macam kondisi dan waktu tertentu, dengan berdasarkan dari pedoman MKJI tahun 1997. Dengan menghitung kapasitas jalan menggunakan data sekunder dari penelitian yang sudah di validasi yang dilakukan oleh peneliti sebelumnya pada tahun 2020 oleh Sarah Haryati, didapatkan data-data pada jalan Jendral Sudirman, Jakarta. Selain itu kita juga menggunakan data kuesioner dalam bentuk google form untuk mendapatkan persepsi hambatan samping tersebut. Hasil yang didapatkan bahwa ruas Jalan Jendral Sudirman Jakarta terdapat dalam kelas Sangat Rendah pada waktu pagi hari, siang hari, dan sore hari. Untuk penelitian berikutnya, diharapkan secara khusus membuat kuesioner agar lebih fokus mendapatkan data yang lebih valid.

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Haijian Li ◽  
Zhufei Huang ◽  
Xiaofang Zou ◽  
Shuo Zheng ◽  
Yanfang Yang

The traffic congestion in ramp areas is becoming increasingly prominent. In the upstream segments of ramp areas, effective management and control of lane-changing behaviors can improve the road capacity and make full use of the existing road resource. With the continuous development and application of connected vehicle technologies, lane-changing behaviors can be performed by vehicle groups. Under a connected vehicle environment, the lane-changing behaviors by vehicle groups are controlled in the upstream segment in a ramp area, and the lane-changing behaviors can be completed prior to entering the ramp area. Finally, lane-changing strategies are optimized and identified. VISSIM simulates these proposed strategies. This paper considers the delay as the output index for analyzing and comparing various strategies. The results demonstrate that the delays of different lane-changing strategies are also different. If the delays of ramp areas are to be substantially reduced, it is necessary to continuously optimize the lane-changing strategies by vehicle groups in the upstream segments. This optimization of lane-changing strategies will effectively regulate drivers’ lane-changing behaviors, improve road safety, and increase traffic capacity.


INFO ARTHA ◽  
2017 ◽  
Vol 1 ◽  
pp. 17-28
Author(s):  
Anisa Fahmi

Motivated by inter-regional disparities condition that occurs persistently, this study examines the Indonesian economy in the long run in order to know whether it tends to converge or diverge. This convergence is based on the Solow Neoclassical growth theory assuming the existence of diminishing returns to capital so that when the developed countries reach steady state conditions, developing countries will continuously grow up to 'catch-up' with developed countries. Based on regional economics perspective, each region can not be treated as a stand-alone unit,therefore, this study also focuses on the influence of spatial dependency and infrastructure. Economical and political situations of a region will influence policy in that region which will also have an impact to the neighboring regions. The estimation results of spatial cross-regressive model using fixed effect method consistently confirmed that the Indonesian economy in the long term will likely converge with a speed of 8.08 percent per year. Other findings are road infrastructure has a positive effect on economic growth and investment and road infrastructure are spatially showed a positive effect on economic growth. In other words, the investment and infrastructure of a region does not only affect the economic growth of that region but also to the economy of the contiguous regions. 


Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data


Author(s):  
Harun Bal ◽  
Shahanara Basher ◽  
Abdulla Hil Mamun ◽  
Emrah Akça

The contribution of exports to GDP in MINT countries that improve substantially just after their implantation of export promotion strategy in the late 1980s raises the issue of whether the growth in these countries is led by export or not. While a good number of studies have been found investigating whether economic growth is promoted by exports for developing countries having an outstanding share of export in GDP, no study investigating the export-led growth hypothesis for MINT countries has been found until recent times. The main purpose of this study is to fill up the void. The study employs panel cointegration technique with an aim to examine whether the export is the key factor of economic growth for MINT countries employing yearly secondary data that covers the period. Results of the study imply that economic growth of these countries is considerably exports driven. Moreover, there is an indication of improvement of efficiency as exports work along with the rise capital formation. As the employment opportunity of an economy is expanded through capital formation, the emerging MINT countries endowed with large population and favorable demographics are expected to become the major exporters with strong GDP growth by being able to attract adequate foreign investment.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusniliyana Yusof ◽  
Kaliappa Kalirajan

PurposeThe study contributes to the aim of regional development policy in reducing regional disparities, by examining the spatial balance in socioeconomic development across the states of Malaysia based on composite development index (CDI). Besides, the study has attempted to understand the issues in the development gaps across Malaysian states by evaluating the factors that explain the variation in economic growthDesign/methodology/approachThis study uses three-stage least squares (3SLS) and bootstrap sampling and estimation techniques to examine the factors that explain the variations in the growth of development across the states in Malaysia. The analysis involves 13 states in Malaysia (Johor, Melaka, Negeri Sembilan, Pulau Pinang, Perak, Perlis, Selangor, Kedah, Kelantan, Pahang, Terengganu, Sabah and Sarawak) from 2005 to 2015.FindingsThe pattern in the spatial socioeconomic imbalance demonstrates a decreasing trend. However, the development index reveals that the performance of less developed states remained behind that of the developed states. The significant factors in explaining the variation in growth across the Malaysian states are relating to agriculture, manufacturing, human capital, population growth, Chinese ethnicity, institutional factors and natural resources.Research limitations/implicationsThe authors focused on Malaysian states over the period between 2005 and 2015. The authors encountered some limitations in obtaining relevant data such as international factors and technological change that might also explain the variation in economic growth as the data on these variables are not reported at the state level. Moreover, the data on GSDP by sector was only available from the year 2005. Second, the study is based on secondary data. Future studies might examine the factors that contribute to the development gap across Malaysian states through interviews or questionnaires and compare the findings with the existing results. Despite its limitations, this study contributes to the existing literature that emphasizes on spatial balance of socioeconomic in a developing country, focusing on Malaysian states.Practical implicationsThese findings provide guidance for policymakers by understanding key potential areas to reduce the disparity in economic growth across Malaysian states by understanding their impact on the growth.Originality/valueThis study employs different method of 3SLS and bootstrap sampling and estimation techniques in examining the factors that explain the variations in the growth of development across the states in Malaysia.


2018 ◽  
Vol 3 (3) ◽  
pp. 59-66
Author(s):  
Jamaliah Jamaliah ◽  
Rosyadi Rosyadi

Objective - Labor is one of the most important factors in production activities. Increased human effort in the production process will increase output, productivity and promote economic growth. This research aims to analyze the condition and potential of labor demand in Pontianak City, analyze job opportunities in Pontianak City and formulate a strategy of labor policy in Pontianak City. Methodology/Technique - The method used is descriptive with quantitative analysis which a qualitative interpretation. The data used is secondary data and related documents for data enrichment. Findings - The results show that: labor demand is showing an increasing trend year by year, increasing employment absorption from 233,788 in 2010 to 244,236 in 2014. The rate of absorption growth occurs primarily in the agriculture, building and transportation industries. Employment elasticity in Pontianak City is relatively low at only 0.02% which means the growth of labor absorption is smaller than the increase of economic growth. Novelty - This research shows that employment policy strategies in Pontianak City need to increase the role of Training Center (BLK), the enrichment of nutrition improvement and sustainability, encourage investment, increase competitiveness through increasing labor productivity and increase labor flexibility to the rules among other things. Type of Paper: Empirical. Keywords: Employment Demand; Employment Elasticity; Employment Policy Strategy. JEL Classification: J20, J21, J29.


2021 ◽  
Vol 1 (1) ◽  
pp. 124-127
Author(s):  
Novi Firmawati ◽  
◽  
Budi Sasongko

This study examines the role of education in improving technology adoption as reflected in technology inclusion, poverty alleviation and efforts to increase community income which is reflected in economic growth. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We found that education investment and technology inclusion were positively related to economic growth. And,negatively related to probability. This indicates that education plays a role in encouraging technological inclusion which reflects technological adaptation and encourages economic growth which is an indicator of the prosperity of the people in Indonesia which is strengthened by a negative relationship with poverty which indicates that education plays an important role in poverty alleviation


2021 ◽  
Vol 1 (1) ◽  
pp. 132-135
Author(s):  
Nur Sholeh Hidayat ◽  
◽  
Eddy Priyanto

This research studies the role of human capital investment through the mechanism of improving education and health services in efforts to alleviate poverty and increase economic independence with dignity in the form of improving the performance of Indonesia's human resources which is reflected in Indonesia's economic growth. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We find that investment in education and investment in health is positively related to economic growth. And, poverty is negatively related to economic growth. This indicates that human capital investment in Indonesia is able to promote economic growth and alleviate poverty in Indonesia.


2019 ◽  
Vol 1 (2) ◽  
pp. 401
Author(s):  
Zakiah Husna ◽  
Idris Idris

This study aims to determine the effect of energy consumption and regime on economic growth in Indonesia. The data used is secondary data in the form of time series data from 1988-2017, with documentation and library study data collection techniques obtained from relevant institutions and agencies. the variables used are economic growth (GDP), non-renewable energy consumption, renewable energy consumption and regime, the research methods used are: (1) Multiple Regression Analysis (OLS), (2) Classical Assumption Test results of research stating that: ( 1) non-renewable energy consumption has a positive effect on economic growth in Indonesia. (2) consumption of renewable energy has a positive effect on economic growth in Indonesia. (3) the energy regime has a negative effect on economic growth in Indonesia. (4) non-renewable energy consumption, renewable energy consumption and energy regime have a significant effect on economic growth in Indonesia. so only the energy regime has a negative effect on economic growth in Indonesia.


2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.


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