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Journal : JDE (Journal of Developing Economies)

Technical Efficiency Analysis of Container Terminals in Tanjung Perak, Surabaya, East Java Bambang Eko Afiatno; Karno Dwi Joyoutomo
Journal of Developing Economies Vol. 7 No. 1 (2022)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v7i1.34928

Abstract

Container Terminals in Tanjung Perak Port is a trading center in the Eastern Indonesia Region (KTI) with a total throughput of 3.6 million TEUs in 2020. The utility/level of use of terminal facilities, consisting of the pier/berth occupancy ratio (BOR), has reached 60%. The field/yard occupancy ratio (YOR) is 65%, while the maximum utility is 70% (UNCTAD). It is necessary to explore the technical efficiency of each container terminal using the stochastic frontier analysis (SFA) because it can also capture the inefficiency effects. This study is built from the analysis of production factors in the period of 2009-2020, where the variables used are capital (k) using company asset data, labor variable (l) using data on the number of human resources, energy variable (e) using energy cost data (fuel oil/fuel, electricity, and water). The inefficiency variables are port draught (d) and loading and unloading productivity (p). The container terminal in Tanjung Perak has a relatively high technical efficiency value of 0.94. This shows that the terminal operation is quite optimum and is approaching the maximum point. The overall average elasticity is 2.01, which can be categorized as an increasing return to scale. The elasticity of assets has the most significant proportion, so it can be concluded that the port is capital intensive. Next, it's found that the higher productivity 1% increase in loading and unloading productivity, the more inefficiency with a relatively minimal value of 0.11%. Finally, an increase of 1% in depth will increase efficiency by 10.89%.
Measuring Corruption in Indonesia Using Fuzzy Logic Waluyo, Joko; Tri Haryanto; Bambang Eko Afiatno; Tri Achmadi
Journal of Developing Economies Vol. 7 No. 2 (2022)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v7i2.35137

Abstract

Corruption is a phenomenon not easy to observe. Corruption theory and existing definitions are ambivalent, both in size and level. Mathematical models, and econometrics are prone to statistical errors. Fuzzy logic facilitates more humane modeling and analysis. Fuzzy logic is not bound by strong assumptions, as a solution to solve complex problems, and not precise, including corruption analysis. The main objective of this study is to measure corruption in Indonesia. The research method used fuzzy logic by specifying the Mamdani fuzzy inference system (FIS) model. FIS Mamdani was chosen because it is more human manner. Sources of secondary data used in this research from various institutions. The results show that corruption time series data can be produced. During the research year (1995-2020), corruption that occurred in Indonesia was 36.14 percent of real GDP per capita.