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Jurnal Aplikasi Statistika & Komputasi Statistik
ISSN : 20864132     EISSN : 26151367     DOI : -
Core Subject : Science, Education,
Redaksi menerima karya ilmiah atau artikel penelitian mengenai kajian teori statistika dan komputasi statistik pada bidang ekonomi dan sosial dan kependudukan, serta teknologi informasi. Redaksi berhak menyunting tulisan tanpa mengubah makna subtansi tulisan. Isi jurnal Aplikasi Statistika dan Komputasi Statistik dapat dikutip dengan menyebutkan sumbernya.
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Articles 6 Documents
Search results for , issue " Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics" : 6 Documents clear
Pengaruh Pengeluaran Pemerintah untuk Pendidikan, Kesehatan, dan Infrastruktur terhadap PDRB dan Penyerapan Tenaga Kerja di Propinsi Jawa Barat Tahun 2012 Althofia, Nalyda Yola; Agustina, Neli
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (156.695 KB) | DOI: 10.34123/jurnalasks.v7i1.118

Abstract

Labor is part of the population that is capable of doing the work to produce goods and services. Therefore, workers need to be empowered optimally in order to drive the economic process. According to Keynes, one of the efforts that can be done is fiscal policy by increasing government spending leading to a reduction in unemployment. However, in West Java this expectation was not realized. West Java has a large government spending, but its labor absorption is not high. It is shown from the percentage of the working population of the labor force in West Java in 2012 remained below national. This study determines the effect of government education, health and infrastructure expenditures on economic growth and employment in West Java. The recursive equation mode is employed, showing that education and infrastructure spending have positive effect on economic growth and employment. Health expenditure prove to be insignificant. In addition,in West Java, economic growth has positive effect on employment.
Kinerja Modsecurity Technical Report (Studi Kasus: Pencegahan terhadap Serangan SQL Injection) Ridho, Farid
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.306 KB) | DOI: 10.34123/jurnalasks.v7i1.117

Abstract

Several Measures are impelemented in web application security lifecycle such as Secure Development, Secure Deployment and Secure Operation. In secure operation section, a web application that has been through the stages of development and testing will soon enter production phase. At this stage it will be applied to Web Application Firewall (WAF) that meant to protect application from a malicious request.The purpose of this research is to explore ModSecurity WAF implementation. WAF ModSecurity is a free, open source application that can be used to make the filter to requests which occur on a web application including a request containing SQL Injection commands. Another aim is to see whether the ModSecurity installation on a web server affect the performance of the web server.From the test results concluded that ModSecurity can filter SQL injection and installation of ModSecurity does not significantly affect the performance of the web server.
Performansi Piecewise Polynomial Smooth Support Vector Machine untuk Klasifikasi Desa Tertinggal di Provinsi Kalimantan Timur Tahun 2011 Wulandari, Ita
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.415 KB) | DOI: 10.34123/jurnalasks.v7i1.120

Abstract

One of most popular techniques of binary data classification in machine learning is Support Vector Machine (SVM). SVM can be applied extensively in many fields, such as pattern recognition, regression analysis, and probability estimation. SVM uses optimization with quadratic programming which become unefficient when applied in a high dimensional large dataset. Hence, researchers develop a method by changing SVM formulation with a smoothing technique that called Smooth-SVM (SSVM) which converts quadratic into linear programming. The research then continued by modifying that smooth function into polynomial smooth function forms, such as quadratic polynomial function, fourth polynomial function, piecewise polynomial function and spline function. Compared to the other polynomial smooth functions, piecewise polynomial smooth function has a better performance in plus function. When piecewise polynomial smooth function is applied in SSVM model, it will produce piecewise polynomial smooth support vector machine (PPSSVM). PPSSVM has many advantages compared to other SSVM models and its developments such as better efficiency, precision and higher accuracy in generalization. Two PPSSVM model based on piecewise polynomial function are used in this research which found by Luo (PPSSVM1) and Wu and Wang (PPSSVM2). The performance and the convergence of both models then will be examined theoretically, in order to determine the best model for classification of underdeveloped rural in East Kalimantan.PODES data in 2011 will be used in this research. Teoritical analysis showed that PPSSVM2 has a better performance and konvergence than PPSSVM1. Based on the result of this study, PPSSVM2 is not batter than PPSSVM1. It can be seen from the accuracy and AUC values that are not significantly different.
User Acceptance terhadap SIPADU-STIS Menggunakan Teori Technology Acceptance Model (TAM) dan Metode Analisis Structural Equation Modeling (SEM) Hardjantho, Abialam Koesnandy Hardjantho; Anggorowati, Margaretha Ari
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.736 KB) | DOI: 10.34123/jurnalasks.v7i1.121

Abstract

The successful of developing and implementation of information sistem is dependon the user acceptance. SIPADU-STIS is an academic information system that support academic’s bisnis process. Technology Acceptance Model (TAM) will be employed for analysing of SIPADU-STIS system. Validation of TAM model will estimate using Structural Equation Model (SEM). The model shows that SIPADU-STIS has a high user’s acceptance .
Kesenjangan Penghasilan antar Gender di Indonesia Tahun 2013 dengan Metode Dekomposisi Blinder-Oaxaca Mardiana, Mardiana
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (786.582 KB) | DOI: 10.34123/jurnalasks.v7i1.116

Abstract

This research aims to find out the gender earnings gap using Blinder-Oaxaca decomposition method. This method divides the causes of the gender earnings gap into endowment factor which is explained by age, education, residence, working hours, activity status, occupation and industry, as well as discrimination factor. Probit work participation did before estimate earnings by gender to eliminate bias in the sample selection. Using Sakernas August 2013, it is found that the gender earnings gap is 47,29 persentage point. Discrimination factor contribution is bigger than endowment factor in explaining the gender earnings gap in Indonesia. The contribution of discrimination factor is 41,40 percentage point (87,53 percent), while endowment factor contribution is 5,9 percentage point (12,47 percent).
Perancangan Algoritma untuk Menghitung Harga Opsi Reset dengan Metode Binomial Josaphat, Bony Parulian
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.841 KB) | DOI: 10.34123/jurnalasks.v7i1.119

Abstract

Reset option is one of exotic options or path-dependent options, namely his payoff option depends on the behavior of the price of the underlying asset between the beginning and the time to maturity, not solely depend on the final price of the underlying asset. Reset option discussed here is the reset option with single reset time . Based on the presence or absence of early exercise facility, reset option consists of an option of European and American.This paper describes the design of algorithms for reset option price calculation using binomial method. Furthermore, in this paper also described the algorithm implementation. Algorithm implementation is done by developing a simple application using Java programming language. After implementing and testing, we obtain results that the designed algorithm is fairly accurate based on a comparison with the results of similar calculation using Ms. Excel .

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