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Jurnal Aplikasi Statistika & Komputasi Statistik

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Published by Politeknik Statistika STIS

ISSN : 20864132 EISSN : 26151367 DOI : -

Core Subject : Science, Education,

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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 9 No 1 (2017): Journal of Statistical Application and Computational Statistics" : 6 Documents clear

Faktor-Faktor yang Memengaruhi Foerign Direct Investment (FDI) di Enam Koridor Ekonomi Indonesia: Market Seeking atau Resource Seeking? Iriani Trisna Rahayu; Ernawati Pasaribu
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

The economic development of a country depends on the amount of foreign direct investment (FDI), including in the Indonesian six economic corridors. The huge gaps of conditions in economic corridors are expected to differences infactors affecting the FDI-inflow into the corridors. This study uses a panel data regression to analyze factors behind the FDI-inflow in each economic corridor and to determine the FDI characteristic in each economic corridor. It shows that the proportion of government capital expenditure, number of highly-educated labor force, trade openness, and the proportion of oil and mineral export affect the FDI-inflow only in some economic corridors. Furthermore, it indicates that, while market seeking FDI occurred in all Indonesian economic corridors, resource seeking FDI was only found in Sulawesi, Maluku and Papua economic corridors.

Generalized Multilevel Linear Model dengan Pendekatan Bayesian untuk Pemodelan Data Pengeluaran Perkapita Rumah Tangga Azka Ubaidillah; Anang Kurnia; Kusman Sadik
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Household per capita expenditure data is one of the important information as an approach to measure the level of prosperity in an area. Such data is needed by the government, both at the central and regional levels in formulating, implementing and evaluating the implementation of development programs. This research is aimed at modeling the household per capita expenditure data which takes into account the specificity of BPS data which has a hierarchical structure, and data distribution pattern which has the right skewed characteristic. The modeling is done by using the three parameters of Log-normal distribution (LN3P) and the three parameters of Log-logistics (LL3P) with a single level (unilevel) and two levels (multilevel) structure. The parameter estimation process is done by Markov Chain Monte Carlo (MCMC) method and Gibbs Sampling algorithm. The results showed that on the unilevel model, the LL3P model is better than the LN3P model. While in multilevel model, LN3P model is better than LL3P model. The results also show that the best model for modeling household per capita expenditure data is the LN3P multilevel model with the smallest Deviance Information Criterion (DIC) value.

Named Entity Recognition on A Collection of Research Titles Siti Mariyah
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

The title can help the reader to get the universal point of view of the article as the initial understanding before reading the content as a whole. On technical research papers, the title states essential information. In this study, we aim to develop information extraction techniques to recognize and extract problem, method, and domain of research contained in a title. We apply supervised learning on 671 research titles in computer science from various online journals and international conference proceedings. We conducted some experiments with different schemas to discover the influence of features and the performance of the algorithm. We examined contextual, syntactic, and the bag of words feature sets using Naïve Bayes and Maximum Entropy. The Naïve Bayes classifier learned from the first group of the feature set is successful in predicting category of each token in title dataset. The accuracy and f1-score for each class are more than 0.80 since the first group of feature sets considers the location of a token within a sentence, considers the token and POS tag of some tokens before and after and deliberates the rules of a token. While the Naïve Bayes classifier learned from the second group of the feature set is more appropriate classifying a phrase token than a word token.

Analisis Regresi Tobit Spasial: Studi Kasus Penggunaan Internet di Pulau Jawa Andhie Surya Mustari; Ismaini Zain
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Special method is required for analyzing censored data with spatial dependence. Using linear regression will results in invalid parameter estimations, normality assumption violations, and obscure the model interpretation. Spatial Tobit regression model is used to analize the data of internet usage in Java. MCMC Gibbs sampler method with Bayesian inference approach was used for parameter estimation. As a result, internet usage in Java Island is influenced by the percentage of population living in urban areas, the percentage of population graduated from senior high school, the average length of school, the percentage of households with mobile phones, and the percentage of villages receiving cell phone signal.

Persepsi Masyarakat Kelurahan Bukit Duri Terhadap Program Normalisasi Kali Ciliwung di Jakarta Tahun 2017 Serta Variabel-Variabel yang Memengaruhinya Loveria Candra Puspita; Achmad Prasetyo
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

River normalization program is one of the ways to handle flood problems. However, not all communities accept this program. For that, we want to know the public perception towards normalization of Ciliwung River and analyze the variables that influence it. Perception data was obtained through survey with household approach in Bukit Duri Village which then analyzed by logistic regression. The results show that 28 percent of households around the river and 22 percent of households not around the river reject normalization. Household perceptions around the river are significantly influenced by sex, organizational participation, socialization, and per capita expenditure. The non-rivers are influenced by employment status, organizational participation, and socialization.

Determinan Perilaku Merokok pada Remaja Sekolah di Indonesia Titik Harsanti; Febri Wicaksono
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Smoking is a global public health concern and it imposes a heavy economic burden. However, the trend of smoking in Indonesia seems to be increasing and the magnitude of the problem affects not only adults but also adolescents. This paper identifies cigarette smoking determinants among school adolescents in Indonesia, using a multivariate binary logistic model. The analysis uses 5,986 samples of students from the 2014 Indonesia Global Youth Tobacco Survey (GYTS). The results show that 25% of the students have ever smoked and 15% of students are currently smoking. The students’ odds of smoking are higher for boys compared to girls. Higher risk of smoking is observed among the students who have closed-peer smoking compared to students who don’t have closed-peer smoking. Students whose one or both parents are smoking are more likely to smoke compared to whose parents are not smoking. Students who have seen their teacher smoking or have seen people smoking in their house and public places are more likely to smoke compared to who haven’t ever seen their teacher smoking or haven’t ever seen people smoking in their house and public places. These findings suggest that enforcement of legislations to decrease accessibility of cigarettes are necessary to curb the cigarette use among students. Beside that the interventions and education campaigns that target secondary school students are also needed.

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