Judul: Fluktuasi Harga Komoditas Pangan Dan Dampaknya Terhadap Inflasi Di Provinsi Banten
Abstrak: Inflasi di Provinsi Banten berfluktuatif. Kelompok yang berkontribusi besar yaitu kelompok bahan makanan, salah satunya komoditas pangan. Oleh karena itu, harga komoditas pangan menjadi isu penting di Provinsi Banten. Penelitian ini menganalisis harga komoditas pangan, yaitu beras, jagung, cabai merah keriting, bawang merah, daging sapi murni, daging ayam ras dan telur ayam ras. Data yang digunakan adalah data time series bulanan Januari 2011 hingga Desember 2014. Tujuan penelitian ini adalah: 1) Menjelaskan perkembangan harga komoditas pangan di Provinsi Banten; 2) Menganalisis dampak fluktuasi harga komoditas pangan terhadap inflasi di Provinsi Banten; 3) Menganalisis keterkaitan inflasi antar wilayah Provinsi Banten. Dalam penelitian ini metode analisis yang digunakan adalah analisis deskriptif, model VAR (Vector Autoregression) atau VECM (Vector Error Correction Model) dan Uji kausalitas Granger. Hasil dari analisis deskriptif menunjukkan selama 2011-2014, perkembangan harga komoditas beras, jagung, cabai merah keriting, bawang merah, daging sapi murni, daging ayam ras dan telur ayam ras menunjukkan kecenderungan yang meningkat. Hasil analisis VAR menunjukkan bahwa dalam jangka pendek hanya komoditas cabai merah keriting yang berdampak secara signifikan terhadap inflasi di Provinsi Banten. Pada jangka pajang terdapat enam komoditas yang berdampak secara signifikan terhadap inflasi di Provinsi Banten, yaitu daging sapi murni, jagung, beras, daging ayam ras, telur ayam ras serta cabai merah keriting. Hasil uji kausalitas Granger menunjukkan bahwa hanya terdapat hubungan satu arah, yaitu inflasi Banten mempengaruhi inflasi Lampung.
Keyword: fluktuasi, harga pangan, inflasi, VAR, VECM, kausalitas Granger

Judul: Analisis Fluktuasi Harga Komoditas Pangan dan Pengaruhnya terhadap Inflasi di Jawa Barat
Abstrak: West Java is the most populous province in Indonesia. That large population need the availability of sufficient food to achieve food price stability. Based on data from BPS Jawa Barat (2013), the contribution of food inflation to general inflation in West Java is the largest, in 2011 reached 0.93% and in 2012 reached 1.43%. Therefore, the price of food is an important issue in West Java. This study analyzes the prices of three main food commodities, namely rice, soybeans, and sugar. The data used are monthly time series data from January 2009 to December 2012. The objectives of this study are: 1) to describe the development of food commodity prices in West Java using descriptive analysis; 2) to analyze trends in food commodity prices in the future in West Java using ARIMA (Autoregressive Integrated Moving Average) method and; 3) to analyze the effects of food commodity price fluctuations on inflation in West Java using VAR (Vector Autoregression) model. The results of descriptive analysis show that in 2009-2012 the price of rice, soybeans, and sugar have an upward trend. Trend analysis of food commodity price shows that during the next twelve period (in 2013), the price of rice and soybeans are likely to increase while the price of sugar fluctuates with the price difference relatively small. The IRF (Impulse Response Functions) analysis shows that in the long term, the response of Consumer Price Index (CPI) of West Java towards shocks in food commodity prices continues to increase. The FEVD (Forecast Error Variance Decomposition) analysis shows that the price of sugar contributes the most in explaining the variability of inflation in West Java, followed by rice, and soybean prices.
Keyword: VAR, inflation, food commodity price, ARIMA

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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