Keefektifan Praujian Nasional Matematika Tahun Akademik 2004/2005 (Studi Kasus di Smk Negeri dan Swasta di Jakarta Selatan 06)

National pre-exam is one way of the evaluation to the student's ability. Through national pre-exam, it would get information how far the student's preparation to have national exam. National pre-exam is expected to improve student's score on national exam. In addition, national pre-exam is expected can be used to evaluate student's preparation and it can predict national examination score. The improving of student's achievement depends on the way the analysis of change of national examination achievement distribution and description statistics analysis national examination score. The statistics of McNemar's test is used to know student's preparation, because the sample is dependent. Correlation and simple linier regression analysis used for analysis prediction. The increase of national examination score not always the effect of pre-national examination. The pre-national examination can't be used to estimate student's preparation. The probability student that pass the national exam is higher than pre-national exam. It is caused by pre-national exam is more difficult than national exam through the same passing limit. The score of national exam prediction is obtained confidence limit wide enough. Therefore, the variant national of examination achievements is quite large

Analisis Faktor-faktor Yang Mempengaruhi Keputusan Pembelian Dan Kepuasan Konsumen Pada Notebook Merek Acer (Studi Kasus Mahasiswa Universitas Diponegoro)

Consumer perception about notebook product is a variated, this condition based on consumer need is referred that will exploit existing facility at a notebook. Generally, consumer buys a notebook product based on some considerations for example price, brand and product quality. If the product that the of exceed its expectation, consumer will satisfied and possibility will submit the good things about the products to others people. This research aims to analyze the factors that have an effect on purchasing decisions and consumer satisfaction on Acer notebook. Data collecting in this research use questionnaire , that was distributed to 110 students from Diponegoro University that have a Acer notebook.Technique sample uses accidental sampling method. The data obtained are then analyzed using Structural Equation Modeling (SEM). Based on research result is obtained that brand image not has an effect on to purchasing decision Acer notebook, while the product quality and price have an effect on purchasing decision Acer notebook. Despitefully also, the product quality and purchasing decision Acer notebook have an effect on consumer satisfaction

Empowerment of Fruits Management Through the Increasing Economic Value of Local Product on the Red Guava Cluster

Kendal is one of the regencies in Central Java province, which has superior horticultural products, especially in the production of fruits. Kendal has some types of fruits including “Jambu biji Getas Merah” or red guava. Local communities, especially farmer community established Joint Farmer Group (Gapoktan) of red guava to process it into processed products. The purpose of this research was to analyze issues related to processing of guava in Tambahrejo village. The research used descriptive qualitative analysis with Participatory Rural Appraisal, PRA method. Data were obtained from in-depth interviews with key persons associated with the research. The results showed that based on the analysis of Hazard Analysis Critical Control Point (HACCP), processing of red guava could improve quality assurance and food safety of red guava processed product in order to keep developing the product and fulfill the requirements of consumers. Problems associated with the processing of red guava can be minimized or resolved by the establishment of institution in the community to process guava and cooperation between Gapoktan of red guava and the government, local communities and external parties such as educational institutions, investors and others

Proses Antrian dengan Kedatangan Berdistribusi Poisson dan Pola Pelayanan Berdistribusi General

In the queuing process, the distribution testing is performed to obtain the distribution of arrival and service distributions. Customer arrival distribution is obtained based on the number of arrivals or inter-arrival time. Service distribution is obtained based on the number of arrivals or inter-arrival time. In this paper we will discuss the process in queuing with the arrival of the Poisson distribution and the general pattern of service distributio

Analisis Sistem Antrian Pesawat Terbang Di Bandara Internasional Ahmad Yani Semarang

Long queuing is not expected by anyone, because it's taking much time and tiresome. However, this situation is not avoidable in public area, for example Ahmad Yani International Airport Semarang. Aircraft queuing that will take off and landed resulted in increasing of the queuing of passengers to aboard. The suitable queuing system model for Ahmad Yani Internasional Airport Semarang to solve its air traffic is using (M/M/6):(GD/∞/∞), with six aprons as server of reguler commercial flight. Moreover, based on the result of system performance measure, service system in Ahmad Yani Internasional Airport Semarang report is good enough. The result of system performance measure said that average number of aircraft in the system (Ls) was 1,0716 aircraft per hour, average number of aircraft in the queue (Lq) was 0,0002 aircraft per hour, average time aircraft spends in the system (Ws) was 0,4977 from an hour, and average time aircraft spends in the queue (Wq) was 0,0001 from an hour. The simulation showed that by using four operating server or adding two more arrival additionals in every hour, the service system is quite effective

Pengukuran Risiko Kredit Obligasi Korporasi Dengan Credit Value at Risk (Cvar) Dan Optimalisasi Portofolio Menggunakan Metode Mean Variance Efficient Portfolio (Mvep)

Getting benefits of many kinds of coupon is not the only advantage of bond investment, but also it gives potential risks such as credit risk. Credit risk originates from the fact that counterparties may be unable to fulfill their contractual obligations. Credit Value at Risk (CVaR) is introduced as a method to calculate bond credit risk if default occurs. CVaR is defined as the most significant credit loss which occurs unexpectedly at the selected level of confidence, measured as the deviation of Expected Credit Loss (ECL). To construct optimal bond portfolio requires Mean variance Efficient Portfolio (MVEP) method. MVEP is defined as the portfolio with minimum variance among all possible portfolios that can be formed. This study case has been constructed through two bonds, bond VI of Jabar Banten Bank (BJB) year 2009 serial B and bond of BTPN Bank I year 2009 serial B. Based on the R programming output, the obtained results for bonds with a rating idAA BJB, has a positive CVaR value of Rp 22.728.338,00. While bonds with a rating idAA BTPN and portfolio for both bonds, each of which has a negative CVaR value amounted Rp 28.759.098,00 and Rp 32.187.425,00. CVaR is positive (+) expressed as the loss addition of ECL while is negative () expressed as a decrease in loss of ECL. For optimal bond portfolio, gained weight for each bond is equal to 16,85202% for BJB and 83,14798% for BTPN bonds

Faktor-faktor Yang Mempengaruhi Kriminalitas Di Kabupaten Batang Tahun 2013 Dengan Analisis Jalur

Crime or criminality in Indonesia is rampant both in print or television can be seen almost every day news about crime. Basically, each individual will be influenced by several factors, both internal and external causes a person to commit a criminal act, including population, education, morality, poverty, and unemployment. In this case will be studied in a statistical analysis that can detect the magnitude of these factors, either directly or indirectly to the level of criminality. One of the statistical analysis that can be used to analyze the causal relationship of the variables is the path analysis (path analysis) which is a direct development of multiple regression form with the aim to provide estimates of the level of interest (magnitude) and significance (significance) in a hypothetical causal link set variable. In this study showed that the factor that has the greatest positive effect on crime is unemployment factor of 0.395 with immediate effect. A factor which has the second largest positive effect of education is a factor of 0.222 to the direct effects and the indirect effect of 0.0818. Meanwhile, a factor that has a positive influence smallest is the moral factor to the effect of 0.180

Analisis Intervensi Fungsi Step (Studi Kasus Pada Jumlah Pengiriman Benda Pos Ke Semarang Pada Tahun 2006 – 2011)

Data time series yang dipengaruhi oleh beberapa kejadian yang disebut intervensi akan mengakibatkan Perubahan pola data pada satu waktu t. Analisis intervensi terdiri dari dua fungsi yaitu fungsi step dan fungsi pulse.Time series data that are influenced by several events called the intervention will lead to changes in the pattern of data at a t time. Analysis of intervention consists of two functions, that is the step function and pulse function. Intervention of step function represents an intervention that have long-term effects, whereas pulse function represents an intervention that takes place at a particular time. Step function intervention model was created based on the delay time of the intervention (b), the length of the intervention effect (s), and the pattern of intervention effects that was occured after b + s period (r). Intervention modeling was done after ARIMA (Autoregressive Integrated Moving Average) model was acquired. ARIMA model was used to determine the b, s, and r order of intervention. In this study, the step function intervention analysis was used to assess the amount of postage on the period January 2006 to February 2011. Based on the analysis, the ARIMA model produced was ARIMA (0,1,1). Based on intervention response obtained residual value b = 4, s = 0, r = 2 is used to form a model of intervention using the least squares method