Judul: Analisis Perekonomian dan Faktor-Faktor yang Memengaruhi Kesempatan Kerja di DKI Jakarta
Abstrak: Penelitian ini bertujuan untuk mengetahui struktur perekonomian dan faktor-faktor yang mempengaruhi kesempatan kerja di DKI Jakarta. Analisis yang digunakan dalam penelitian ini adalah analisis Shift-Share, Loqation Quotient dan Multiple Regression yang ditaksir dengan Metode Kuadrat Terkecil (OLS) dalam bentuk Semi-Log. Adapun variabel yang digunakan untuk menelaah hubungan yang terjadi terhadap Kesempatan Kerja adalah variabel Dummy Otonomi Daerah, PMA, PMDN, PDRB dan Suku Bunga Kredit Investasi. Data yang digunakan runtut waktu (time series) tahun 1993-2008. Hasil analisis Shift Share dan Loqation Quotient semenjak diterapkannya otonomi daerah menunjukan bahwa pertumbuhan tenaga kerja baik dari komponen pertumbuhan tenaga kerja nasional, bauran industri dan keunggulan kompetitif didominasi oleh sektor tersier, seperti sektor perdagangan, hotel dan restoran; sektor pengangkutan dan komunikasi; sektor keuangan, persewaan dan jasa perusahaan; dan sektor jasa-jasa. Demikian pula dengan keempat sektor tersebut yang juga merupakan sektor basis dalam memperluas Kesempatan Kerja. Untuk hasil analisis Multiple Regression menunjukan bahwa variabel Dummy Otonomi Daerah, PMA, PMDN, PDRB dan Suku Bunga Kredit Investasi secara simultan berpengaruh terhadap Kesempatan Kerja. Dan secara parsial, variabel PMA, PMDN dan Suku Bunga Kredit Investasi berpengaruh signifikan terhadap Kesempatan Kerja. Variabel Dummy Otonomi Daerah, PMA dan PMDN serta PDRB berpengaruh positif dan variabel Suku Bunga Kredit Investasi berpengaruh negatif terhadap Kesempatan Kerja. Pada variabel Dummy Otonomi Daerah dan PDRB berpengaruh tidak signifikan dan positif terhadap Kesempatan Kerja.
Keyword: Job opportunity, dummy regional autonomy, FDI, Domestic investment, GDRP, Investment lending rates, Shift share, Location quotient

Judul: Analysis of Economic Structure and Factors that Influence Job Opportunity in Jakarta
Abstrak: This study aimed to determine the structure of economy and factors that affect job opportunity in Jakarta. Author used Shift Share Analysis, Location Quotient and Multiple Regression that was estimated with Least Square Method (OLS) in Semi-Log form. To examine the relations that happened on job opportunity, author used the regional autonomy as a dummy variable, FDI, domestic investment, GDRP, and investment lending rate, with time series data from the period 1993 until 2008. The result of Shift Share Analysis and Location Quotient since the implementation of regional autonomy showed that employment growth from the components of national employment growth, industry mix and competitive advantage were dominated by the tertiary sector, such as trade, hotels, and restaurants; transportations and communications sector; financial sector, renting and business services; and services sector. The four sectors above were also a basic sector in expanding job opportunity. The results of Multiple Regression Analysis showed that the dummy variable of regional autonomy, FDI, domestic investment, GDRP, and investment lending rate had simultaneous effect toward job opportunity. And partially, FDI, domestic investment and investment lending rate had significant effect toward job opportunity. Dummy variable of regional autonomy, FDI, domestic investment and GDRP had positive effect and investment landing rate had negative effect toward job opportunity. While dummy variable of regional autonomy and GDRP had positive and not significant effect toward job opportunity.
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Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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