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"Cluster analysis is a mult ivariate analysis technique used to classify objects such that the objects in a cluster are very similar and the objects in different clusters are quite different. This study will discuss the non-hierarchical clustering methods. The methods are C-Means Cluster and Fuzzy C-Means Cluster. These methods are suitable for large data and continuous variables. This study would also present the application of the methods on the case of village grouping according to the underdevelopment status in two regions of level II (Kota Metro and Kabupaten Lampung Timur) in Lampung Province. The unit of observations in this study are 257 villages in Kota Metro (22 villages) and Kabupaten Lampung Timur in Lampung Province obtained from the Village Potential Statistics (Podes - Potensi Desa) 2008.The results show that the optimal cluster in Kota Lampung data is 4, with a minimum value of the Fukuyama-Sugeno validity index is at -45.4649. As for the data of Kabupaten Lampung Timur, theoptimumnumber ofclustersis13,with aminimum value of the Fukuyama-Sugeno validity index is at 196.9629."

"With the vast development of data to become informations on the Internet, everything online seems to explode at a rapid rate. These informations, including online news which is created as a complement to the original printed media, has even overtaken the latter. Subdirectorate of Household National Account and Non-profit Institution of Statistics Indonesia is in charge for the work of media research. In the process of media research, time and human resources are two important elements but yet having problem of ineffective and inefficient process. This study aimed to overcome that problem by developing a web crawler system that could do summarization automatically from online news sites (currently from Bisnis and Kontan) with output in Microsoft Word format file and minimizing number of similar news. This system is developed using several techniques in information technologies such as crawling and wrapping method and cosine similarity method to minimalize similar news. The result shows the process of media research by using this system much more effective and efficient."

"This research was aimed to examine the relevance of the Farmers? Term of Trade (FTT) formula (Modified Laspeyres) by comparing with the Modified Laspeyres Plus and the Fisher-WM formulas. The result presented that FTT of Food Crop applying Fisher-WM had nearly similar patterns with the Modified Laspeyres, while the Modified Laspeyres Plus tended to fluctuative patterns. The FTT Fisher-WM had similar pattern with share of nonfood expenditure, farmers? purchasing power, and farming cost. Foreasting of FTT (Fisher-WM) showed nearly similar result with FTT of BPS-Statistics Indonesia published in October and November 2013. The welfare quality of the food crop farmers in West Java, Banten, and DIY provinces was categorized as high welfare level; in Central and East Java provinces was categorized as middle welfare level; in Bali, West and East Nusa Tenggara provinces was categorized as low welfare level. Based on the results, the Modified Laspeyres formula has been still relevant to be applied, except in revealing the seasonal pattern of food crop production as shown by the Fisher-WM."

"Interviewer falsifications are relevant problem faced by institutions conducting census and surveys around the world, including BPS-Statistics Indonesia. Falsified data may cause serious impact to generated statistics even though the proportion of falsified data is very small. Usage of Computer Assisted Personal Interviewing (CAPI) in field data collection has proven to improve efficiency and effectiveness. In addition, the use of CAPI is believed to be able to detect data falsification better. This is because CAPI devices can produce a variety of metadata that can not be obtained when using paper questionnaires. This study discusses relevant features to detect interviewer falsification in CAPI-based surveys, validates them, and uses them to identify interviewer falsification automatically using data mining techniques so that human supervisors can take further actions. After analyzing relevant features and conducting experiment, the result showed that unsupervised classification algorithm using simple 2-means clustering could have up to 70,5% accuracy, while supervised classification using logistic regression could have up to 88,5% accuracy."

"buku ini membahas tentang metode statistika multivariant yang belum ditemukan untuk meempermudah kegiatan perkuliahan."

"Coal is the main commodity required by various countries as a substitute for petroleum as an energy source. This study aims to look at the competitiveness of Indonesian coal exports and the development of Indonesian coal in eight countries of export destination and want to study the effect of the ratio of the price of coal, the export destination country's GDP, exchange rate, and the value of RCA against Indonesian coal exports. Export destinations in this study are China, India, Japan, South Korea, Hong Kong, Thailand, Malaysia, and the Philippines and the study period is 2002-2012.. This study uses RCA index, EPD, and IIT and panel data regression analysis. The results show that in general the development of export coal to eight destination countries has increased. RCA results show Indonesian coal generally has a comparative advantage in the eight countries of export destination. Based on EPD index, almost in all destination countries except Hong Kong, Indonesia coal competitive position is a rising star. Based on the method of IIT, the nature of Indonesia's trade with all destination countries except Hong Kong are weak integration that is no integration. Variables that affect the volume of coal exports is real GDP export destinations, the real exchange rate of export destinations, and RCA. Meanwhile, the Indonesian coal price ratio does not significantly affect the volume of Australian coal exports."

"Metode jackknife empirical likelihood adalah suatu metode statistika untuk membentuk interval kepercayaan bagi suatu parameter. Metode jackknife empirical likelihood merupakan pengembangan dari metode empirical likelihood ketika parameternya berbentuk fungsi nonlinier. Metode empirical likelihood sendiri merupakan metode statistika yang digunakan untuk membentuk interval kepercayaan untuk suatu parameter berdasarkan data yang diperoleh dari suatu pengamatan. Pada tugas akhir ini, akan dibahas mengenai pembentukan interval kepercayaan untuk mean absolute deviation dari suatu populasi menggunakan metode jackknife empirical likelihood. Mean absolute deviation itu sendiri merupakan salah satu dari ukuran penyebaran data, yaitu rata-rata harga mutlak dari simpangan data terhadap meannya. Distribusi asimtotik dari fungsi jackknife empirical likelihood ratio adalah suatu distribusi chi-kuadrat dengan derajat bebas satu. Fungsi jackknife empirical likelihood ratio ini akan digunakan untuk membentuk interval kepercayaan untuk mean absolute deviation.

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Jackknife empirical likelihood method is a statistical method to construct the confidence interval for a parameter. Jackknife empirical likelihood method is modification of empirical likelihood method when the parameter is nonlinear function. Empirical likelihood method itself is one of the statistical method used to construct the confidence interval for a parameter based on the data obtained from an experiment. In this paper, we will discuss the construction of the confidence interval for the mean absolute deviation of a population using jackknife empirical likelihood method. Mean absolute deviation itself is one of the measures of dispersion of data, which is the average of the absolute deviations of the data set from its mean. The asymptotic distribution of jackknife empirical likelihood ratio function is a chi square distribution with one degree of freedom. Jackknife empirical likelihood ratio function will be used to construct confidence interval for the mean absolute deviation."