ANALISIS EKSPOR INDONESIA

Penelitian ini bertujuan untuk menganalisis keseimbangan dan pengaruh jangka panjang antara Inflasi, Nilai Tukar, dan Pertumbuhan Ekonomi Luar Negeri terhadap Ekspor Indonesia. Data yang digunakan adalah data tahunan dari periode 1968-2017 dengan model analisis Auto Regressive Distributed Lag (ARDL). Pemilihan model ini didasarkan pada kemampuan ARDL menghasilkan estimasi dalam jangka panjang dan jangka pendek dengan tingkat stationeritas berbeda. Hasil analisis menunjukan bahwa dalam jangka panjang variabel inflasi dan pertumbuhan ekonomi China dan Jepang berpengaruh positif dan signifikan, pada kisaran tingkat kepercayaan satu sampai lima persen. Sedangkan dalam jangka pendek nilai tukar berpengaruh negatif dan pertumbuhan Amerika Serikat berpengaruh positif dan signifikan

ANALISIS FAKTOR-FAKTOR PENYEBAB KERUSAKAN PRODUK PADA PROSES CETAK PRODUK (StudiKasuspada Majalah SAKINAH PT. Temprina Media Grafika - JawaPosGroup-Semarang)

This study aimed to analyze the factors that cause damage to the product in the process of printing products at PT. Temprina Media Graphic Semarang. The data used are primary and secondary data. Samples were examined by 100 respondents. The number of variables examined in this study were 20 variables. The data were then analyzed using factor analysis in SPSS 16.0 for Windows. The results showed that of the 20 variables had been reduced and no variables excluded from the model because it has met the criteria MSA> 0.5. From the test results obtained by factor analysis of 20 variables that persist in the model and breaks into 6 factors, are all factors that influence the breakdown products in product printing processes. These factors are factors Continuity Engines Work with eigenvalues 6446 values, factors Readiness Control Method / System Working with eigenvalues values 1831, Readiness Materials and Work Order with eigen value 1,621 values, process control factors with eigenvalues 1266 values, factors Work Discipline with eigenvalues values 1169, and Supervisor Support factors with eigenvalues 1,011 values. 6th factor is obtained based on the value of eigen values greater than one. Dominating factor is the factor that has a Sustainability Working Machines values eigenvalues of 6446 with a percentage of 32 230% variance. Factors such form, then performed the analysis using method Fishbone Diagram to determine the causal factors in the chart, so that the company can take preventive and corrective measures to reduce the level of damage and improve product quality

Indonesian Export Analysis: Autoregressive Distributed Lag (ARDL) Model Approach

There are some factors predicted tohave an effect on the countries’ economic devlopment. This study aimed to analyze the long-term and short-term effects of In-flation, Exchange Rate, and Foreign Economic Growth (the destination of the United States, China, and Japan) on the Indonesian Export. The Auto-Regressive Distributed Lag (ARDL) Model is used in this analysis from 1968 through 2017. The results of the analysis show that in the long-term, the inflation and the economic growth in China as well in Japan has a positive sign and significant effect on Indonesian exports. In addition, in the short-term, the US exchange rate and economic growth have a positive significant effect on Indonesian exports