J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika
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<![CDATA[Pemodelan Derajat Kesehatan Menggunakan Structural Equation Modeling di Kabupaten Kediri ]]>
<![CDATA[amin tohari]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya ]]>
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DOI: 10.36456/jstat.vol10.no2.a1022
<![CDATA[The health status of District Kediri in 2015 show that position of Maternal Mortality Rate is the same as the previous year, while the condition of Infant Mortality Rate tends to decrease compared to 2013. Health degree and influencing factors are latent variables requires an indicator to measure it, requiring a multivariate analysis method that accommodates the relationship between latent variables i.e. structural equation modeling (SEM). SEM-PLS can be used small sample size, and does not require normal multivariate distribution. This study uses secondary data taken from health office of District Kediri which summarized in health profile of Regency of Kediri in 2015, then processed using SmartPLS. The results showed that the environment, behavior of society, and health services have a negative and significant effect.]]>
<![CDATA[Pemetaan Prevalensi Balita Gizi Buruk di Provinsi Jawa Timur Tahun 2014 dengan Mixed Geographically Weighted Regression (MGWR) ]]>
<![CDATA[elvira mustikawati putri hermanto]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya ]]>
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DOI: 10.36456/jstat.vol10.no2.a1024
<![CDATA[Based on Indonesia Health Profile data, In 2014 East Java Province is in the first place of malnutrition in Indonesia. Efforts have been made by the provincial government as an effort to improve nutrition by specific interventions (health) and sensitive (non-health) interventions. As an effort to suppress malnutrition case in East Java Province, this research is done to know the factors that influence to percentage of malnourished children under five in each regency / city as well as globally influential factor in East Java Province. The method used is Mixed Geographically Weighted Regression (MGWR). Based on the results of analysis with MGWR, it is known that the variables that affect globally are variables X7 and X10, while the variables that affect locally is variable X1. However, based on model goodness test with R2 criteria, it is known that MGWR model is not better than GWR model. The value of R2of MGWR is 53.60% while R2of GWR is 61.53%.]]>
<![CDATA[Prediksi Jumlah Kunjungan Wisatawan Mancanegara di Indonesia dengan Menggunakan Metode ARIMA Box-Jenkins dan Jaringan Syaraf Tiruan ]]>
<![CDATA[artanti indrasetianingsih]]>;
<![CDATA[ika damayanti]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya ]]>
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DOI: 10.36456/jstat.vol10.no2.a1219
<![CDATA[Salah satu bidang yang banyak diperebutkan di era Masyarakat Ekonomi Asia (MEA) adalah bidang pariwisata. Indonesia sebagai bagian dari Negara-negara ASEAN (Association of South East Asian Nations), merupakan negara yang kaya akan budaya dan memiliki banyak destinasi wisata yang patut diperhitungkan baik di tingkat regional maupun internasional. Jumlah kunjungan wisatawan mancanegara (wisman) ke Indonesia mengalami peningkatan dari tahun ke tahun. Peningkatan jumlah kunjungan wisatawan mancanegara tersebut ternyata masih menempatkan Indonesia di posisi ke empat di negara-negara ASEAN pada tahun 2012 dan 2014. Pada tahun 2019, Kementrian Pariwisata (Kemenpar) menargetkan jumlah wisman yang berkunjung ke Indonesia sebesar 20 juta. Perlu adanya sinergi dari pemerintah dan masyarakat, baik dari pemerintah pusat maupun daerah. Selain itu juga diperlukan adanya perencanaan dan strategi promosi yang tepat. Salah satu cara untuk memperoleh gambaran tentang jumlah kunjungan wisatawan mancanegara ke Indonesia adalah melakukan peramalan dengan menggunakan analisis deret runtun waktu. Tujuan dari penelitian ini adalah untuk memperoleh prediksi jumlah wisatawan mancanegara yang berkunjung ke Indonesia tahun 2017 s.d tahun 2019 dengan menggunakan metode ARIMA Box-Jenkins dan Jaringan Syaraf Tiruan, serta membandingkan hasil prediksi jumlah kunjungan wisatawan mancanegara ke Indonesia hasil menggunakan ARIMA Box-Jenkins dengan Jaringan Syaraf Tiruan. Data yang digunakan adalah data bulanan jumlah kunjungan wisman ke Indonesia mulai bulan Januari 2010 sampai bulan Juni 2017. Hasil yang diperoleh dari analisis ARIMA Box Jenkins adalah model ARIMA (0,1,1)(0,0,2)12 , sedangkan hasil analisis menggunakan Jaringan Syaraf Tiruan algoritma backpropagation yang digunakan adalah dengan hidden layer 3. Hasil perhitungan nilai kesalahan peramalan dengan MAPE, MAD dan MSE didapatkan bahwa metode ARIMA mempunyai nilai MAD = 8.069,81 dan MSE = 9.134.981.806,98 yang lebih rendah dibanding metode Jaringan Syaraf Tiruan, maka metode yang lebih baik digunakan untuk meramalkan jumlah kunjungan wisman ke Indonesia adalah ARIMA (0,1,1)(0,0,2)12.]]>
<![CDATA[PEMODELAN PEMILIHAN JENIS PENDIDIKAN SEKOLAH TINGKAT SMA SEDERAJAT DI KEL. POGAR KEC. BANGIL MENGGUNAKAN REGRESI LOGISTIK MULTINOMIAL ]]>
<![CDATA[Dwi Heriyansyah]]>;
<![CDATA[Edy Sulistiyawan]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
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Full PDF (240.608 KB)
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DOI: 10.36456/jstat.vol10.no2.a1239
<![CDATA[Equal high school education is broadly divided into three types of education namely; General education, vocationaleducation and religious. A study was conducted on 200 children with status as equivalent high school students in Kelurahan Pogar, Kecamatan Bangil District by using multinomial logistic regression analysis to determine the tendency of school type selection. This study uses seven predictor variables are; sex (X1), father education (X2), mother education (X3), father work (X4), mother work (X5), child status (X6) and family status (X7). Based on the result of multinomial logistic regression analysis simultaniously, it is know that only one variable can be used as a model significanly that is sex variables and obtained logit model of _sex(male). Probability for the selection of public school education types based on male sex are 0,06 and the probability of choosing the type of vocational school education based on male sex is 0,94. When viewed from the value of the odds ratio (Exp(B)), it can be concluded that the tendency for the selection of the type of vocational school education for the male is 2,851 times greater than the female sex.]]>
<![CDATA[Pengetahuan Ibu tentang Imunisasi terhadap Kesehatan Balita di Desa Sumput Kecamatan Driyorejo Kabupaten Gresik ]]>
<![CDATA[Retno Oktavianingsih]]>;
<![CDATA[Wara Pramesti]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
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Full PDF (316.752 KB)
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DOI: 10.36456/jstat.vol10.no2.a1245
<![CDATA[Immunization As one of the preventive efforts to prevent the disease through immunity should be carried out continuously, thoroughly, and implemented according to standards as provide health protection and break the chain of transmission. With 62 respondents mothers to know maternal education, mother's job, mother's age and mother's knowledge about immunization. Based on test analysis of Hormer and Lemeshow binary logistic regression equation can be used to analyze mother's knowledge about health immunization (Y). This is known because the sig value> 0.05. From the result of regression anaisis above is not generated by regression equation, interpretation from analysis seen in discussion chapter of model interpretation. Based on the Wald test results known independent variables do not significantly affect the dependent variable. Based on Nagelkerke determination coefficient of 0,148 or 14,8%. This means that mother's knowledge about immunization does not affect toddler health in general. There is no relationship between maternal education, mother's job, mother's age, and mother's knowledge about immunization against the health variable toddler because of the height of any mother's education, mother's job, mother's age, and mother's knowledge but if the toddler is not paid attention seriously will affect health Toddler.]]>
<![CDATA[Pemodelan Derajat Kesehatan Menggunakan Structural Equation Modeling di Kabupaten Kediri ]]>
<![CDATA[tohari, amin]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
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Full PDF (160.683 KB)
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DOI: 10.36456/jstat.vol10.no2.a1022
<![CDATA[The health status of District Kediri in 2015 show that position of Maternal Mortality Rate is the same as the previous year, while the condition of Infant Mortality Rate tends to decrease compared to 2013. Health degree and influencing factors are latent variables requires an indicator to measure it, requiring a multivariate analysis method that accommodates the relationship between latent variables i.e. structural equation modeling (SEM). SEM-PLS can be used small sample size, and does not require normal multivariate distribution. This study uses secondary data taken from health office of District Kediri which summarized in health profile of Regency of Kediri in 2015, then processed using SmartPLS. The results showed that the environment, behavior of society, and health services have a negative and significant effect.]]>
<![CDATA[Pemetaan Prevalensi Balita Gizi Buruk di Provinsi Jawa Timur Tahun 2014 dengan Mixed Geographically Weighted Regression (MGWR) ]]>
<![CDATA[putri hermanto, elvira mustikawati]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (397.123 KB)
|
DOI: 10.36456/jstat.vol10.no2.a1024
<![CDATA[Based on Indonesia Health Profile data, In 2014 East Java Province is in the first place of malnutrition in Indonesia. Efforts have been made by the provincial government as an effort to improve nutrition by specific interventions (health) and sensitive (non-health) interventions. As an effort to suppress malnutrition case in East Java Province, this research is done to know the factors that influence to percentage of malnourished children under five in each regency / city as well as globally influential factor in East Java Province. The method used is Mixed Geographically Weighted Regression (MGWR). Based on the results of analysis with MGWR, it is known that the variables that affect globally are variables X7 and X10, while the variables that affect locally is variable X1. However, based on model goodness test with R2 criteria, it is known that MGWR model is not better than GWR model. The value of R2of MGWR is 53.60% while R2of GWR is 61.53%.]]>
<![CDATA[Prediksi Jumlah Kunjungan Wisatawan Mancanegara di Indonesia dengan Menggunakan Metode ARIMA Box-Jenkins dan Jaringan Syaraf Tiruan ]]>
<![CDATA[indrasetianingsih, artanti]]>;
<![CDATA[damayanti, ika]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
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Full PDF (281.392 KB)
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DOI: 10.36456/jstat.vol10.no2.a1219
<![CDATA[Salah satu bidang yang banyak diperebutkan di era Masyarakat Ekonomi Asia (MEA) adalah bidang pariwisata. Indonesia sebagai bagian dari Negara-negara ASEAN (Association of South East Asian Nations), merupakan negara yang kaya akan budaya dan memiliki banyak destinasi wisata yang patut diperhitungkan baik di tingkat regional maupun internasional. Jumlah kunjungan wisatawan mancanegara (wisman) ke Indonesia mengalami peningkatan dari tahun ke tahun. Peningkatan jumlah kunjungan wisatawan mancanegara tersebut ternyata masih menempatkan Indonesia di posisi ke empat di negara-negara ASEAN pada tahun 2012 dan 2014. Pada tahun 2019, Kementrian Pariwisata (Kemenpar) menargetkan jumlah wisman yang berkunjung ke Indonesia sebesar 20 juta. Perlu adanya sinergi dari pemerintah dan masyarakat, baik dari pemerintah pusat maupun daerah. Selain itu juga diperlukan adanya perencanaan dan strategi promosi yang tepat. Salah satu cara untuk memperoleh gambaran tentang jumlah kunjungan wisatawan mancanegara ke Indonesia adalah melakukan peramalan dengan menggunakan analisis deret runtun waktu. Tujuan dari penelitian ini adalah untuk memperoleh prediksi jumlah wisatawan mancanegara yang berkunjung ke Indonesia tahun 2017 s.d tahun 2019 dengan menggunakan metode ARIMA Box-Jenkins dan Jaringan Syaraf Tiruan, serta membandingkan hasil prediksi jumlah kunjungan wisatawan mancanegara ke Indonesia hasil menggunakan ARIMA Box-Jenkins dengan Jaringan Syaraf Tiruan. Data yang digunakan adalah data bulanan jumlah kunjungan wisman ke Indonesia mulai bulan Januari 2010 sampai bulan Juni 2017. Hasil yang diperoleh dari analisis ARIMA Box Jenkins adalah model ARIMA (0,1,1)(0,0,2)12 , sedangkan hasil analisis menggunakan Jaringan Syaraf Tiruan algoritma backpropagation yang digunakan adalah dengan hidden layer 3. Hasil perhitungan nilai kesalahan peramalan dengan MAPE, MAD dan MSE didapatkan bahwa metode ARIMA mempunyai nilai MAD = 8.069,81 dan MSE = 9.134.981.806,98 yang lebih rendah dibanding metode Jaringan Syaraf Tiruan, maka metode yang lebih baik digunakan untuk meramalkan jumlah kunjungan wisman ke Indonesia adalah ARIMA (0,1,1)(0,0,2)12.]]>
<![CDATA[PEMODELAN PEMILIHAN JENIS PENDIDIKAN SEKOLAH TINGKAT SMA SEDERAJAT DI KEL. POGAR KEC. BANGIL MENGGUNAKAN REGRESI LOGISTIK MULTINOMIAL ]]>
<![CDATA[Heriyansyah, Dwi]]>;
<![CDATA[Sulistiyawan, Edy]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (240.608 KB)
|
DOI: 10.36456/jstat.vol10.no2.a1239
<![CDATA[Equal high school education is broadly divided into three types of education namely; General education, vocationaleducation and religious. A study was conducted on 200 children with status as equivalent high school students in Kelurahan Pogar, Kecamatan Bangil District by using multinomial logistic regression analysis to determine the tendency of school type selection. This study uses seven predictor variables are; sex (X1), father education (X2), mother education (X3), father work (X4), mother work (X5), child status (X6) and family status (X7). Based on the result of multinomial logistic regression analysis simultaniously, it is know that only one variable can be used as a model significanly that is sex variables and obtained logit model of _sex(male). Probability for the selection of public school education types based on male sex are 0,06 and the probability of choosing the type of vocational school education based on male sex is 0,94. When viewed from the value of the odds ratio (Exp(B)), it can be concluded that the tendency for the selection of the type of vocational school education for the male is 2,851 times greater than the female sex.]]>
<![CDATA[Pengetahuan Ibu tentang Imunisasi terhadap Kesehatan Balita di Desa Sumput Kecamatan Driyorejo Kabupaten Gresik ]]>
<![CDATA[Oktavianingsih, Retno]]>;
<![CDATA[Pramesti, Wara]]>
<![CDATA[ J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 10 No 2 (2017): J Statistika: Jurnal Imiah dan Aplikasi Statistika ]]>
Publisher : <![CDATA[Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (316.752 KB)
|
DOI: 10.36456/jstat.vol10.no2.a1245
<![CDATA[Immunization As one of the preventive efforts to prevent the disease through immunity should be carried out continuously, thoroughly, and implemented according to standards as provide health protection and break the chain of transmission. With 62 respondents mothers to know maternal education, mother's job, mother's age and mother's knowledge about immunization. Based on test analysis of Hormer and Lemeshow binary logistic regression equation can be used to analyze mother's knowledge about health immunization (Y). This is known because the sig value> 0.05. From the result of regression anaisis above is not generated by regression equation, interpretation from analysis seen in discussion chapter of model interpretation. Based on the Wald test results known independent variables do not significantly affect the dependent variable. Based on Nagelkerke determination coefficient of 0,148 or 14,8%. This means that mother's knowledge about immunization does not affect toddler health in general. There is no relationship between maternal education, mother's job, mother's age, and mother's knowledge about immunization against the health variable toddler because of the height of any mother's education, mother's job, mother's age, and mother's knowledge but if the toddler is not paid attention seriously will affect health Toddler.]]>
