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Using Logistic Regression to Estimate the Influence of Adolescent Sexual Behavior Factors on Students of Senior High School 1 Sangatta, East Kutai-East Kalimantan Darnah Darnah; Memi Norhayati
UNEJ e-Proceeding 2016: Proceeding The 1st International Basic Science Conference
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Adolescence is a transitional stage of physical and psychological development that generally occurs during the period from puberty to legal adulthood. Puberty is the time in which a child's sexual and physical characteristics mature. Adolescents have been found at high risk for many negative health consequences related to sexual risk-taking behavior, including infection with human immunodeficiency virus, other sexually transmitted disease, and unintended pregnancy. This research aims to determine the relationship between the reproductive health knowledge and using gadget with adolescent sexual behavior using chi- square test. Additionally, binary logistic regression was used to modeling it. Subjects in this research are students of Senior High School 1 Sangatta, East Kutai-East Kalimantan. The research shows that reproductive health knowledge has a relationship with adolescent sexual behavior. The students have reproductive health knowledge are good to have adolescent sexual behavior unrisk 2.6 more than students have reproductive health knowledge are bad.
Regresi Data Panel dengan Pendekatan Common Effect Model (CEM), Fixed Effect model (FEM) dan Random Effect Model (REM) (Studi Kasus: Persentase Penduduk Miskin Menurut Kabupaten/Kota di Kalimantan Timur Tahun 2015-2018) Eka Nur Amaliah; Darnah Darnah; Sifriyani Sifriyani
ESTIMASI: Journal of Statistics and Its Application Vol. 1, No. 2, Juli, 2020 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (477.461 KB) | DOI: 10.20956/ejsa.v1i2.10574

Abstract

Panel data regression is a regression that combines cross section data and time series data. Panel data regression estimation can be done through 3 estimates namely CEM, FEM and REM. This research will make a modeling of the percentage of poor people according to regencies / cities in East Kalimantan using panel data regression analysis. Poverty occurs due to lack of income and assets to meet basic needs. For this reason, variables that are assumed to affect the percentage of the poor are used, including the Population Growth Rate (LPP), Human Development Index (HDI), and Adjustable Per capita Expenditure (PPD). By using 3 CEM, FEM and REM approaches based on testing, the best FEM model is obtained. Based on the FEM model the factors that significantly influence are the HDI and PPD. A value of 0.7755 means that the HDI and PPD can explain the percentage of poor people according to the Regency / City in East Kalimantan of 77.55% while the remaining 22.45% is influenced by other variables not yet included in the model.
APLIKASI PENDEKATAN SPLINE TRUNCATED DALAM MODEL GWR PADA PENCEMARAN DERAH ALIRAN SUNGAI MAHAKAM Nadia Serena; Sifriyani Sifriyani; Darnah Darnah
MEDIA BINA ILMIAH Vol 16, No 2: September 2021
Publisher : BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33758/mbi.v16i2.1248

Abstract

Regresi nonparametrik merupakan suatu metode statistika yang digunakan untuk mengetahui hubungan antara variabel respon dan prediktor yang tidak diketahui bentuk fungsinya, hanya diasumsikan fungsi smooth (mulus) dalam arti termuat dalam suatu ruang fungsi tertentu. Spline Truncated merupakan suatu teknik yang dilakukan untuk mengestimasi parameter dalam regresi nonparametrik. Pada penelitian ini menggunakan regresi nonparametrik spline truncated dalam model geographically weighted regression (GWR), merupakan pengembangan dari regresi nonparametrik yang memperhitungkan faktor geografis atau spasial. Tujuan penelitian adalah aplikasi metode untuk memodelkan data pencemaran Daerah Aliran Sungai (DAS) Mahakam dan faktor-faktor yang mempengaruhi pencemaran DAS Mahakam berdasarkan model. Data yang digunakan dalam penelitian ini adalah 28 titik lokasi DAS Mahakam. Hasil penelitian diperoleh model terbaik spline truncated dalam GWR dengan R-Square sebesar 99,947 persen, model terbaik dengan nilai GCV Optimum terdapat pada dua titik knot dan fungsi polinomial orde dua. Faktor-faktor yang mempengaruhi pencemaran DAS Mahakam adalah suhu, daya hantar listrik, TSS, DO, konsentrasi NH3N, dan konsentrasi H2S.
PEMBERDAYAAN IBU-IBU PKK MELALUI PELATIHAN PEMBUATAN SABUN CUCI PIRING CAIR UNTUK MENINGKATKAN KETERAMPILAN HIDUP Darnah Andi Nohe; Alfina Damayanti
Journal of Social Outreach Vol 1, No 2 (2022): Journal of Social Outreach
Publisher : Fakultas Sains dan Teknologi

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Abstract

Pelatihan merupakan salah satu upaya untuk meningkatkan sumber daya manusia dan keterampilan hidup masyarakat sehingga lebih kreatif dan produktif. Pemberdayaan Ibu-ibu PKK sebagai warga masyarakat yang masih usia kerja menjadi tenaga kerja yang produktif bertujuan untuk membangun kesadaran dan kemandirian hidup serta dapat membuka peluang lapangan pekerjaan untuk mencapai keluarga yang sehat, bahagia, dan sejahtera. Program pengabdian pelatihan pembuatan sabun cuci piring cair pada Ibu-ibu PKK di Desa Muara Kaman Ilir bertujuan untuk memberdayakan masyarakat sehingga mampu untuk memenuhi kebutuhan sabun cuci piring cair keluarga dan mandiri secara ekonomi dengan membuka peluang usaha. Pelatihan pembuatan sabun cuci piring cairdiikuti oleh 15 peserta. Metode yang digunakan dalam pelatihan ini adalah pemberian materi mengenai bahan-bahan yang digunakan dan manfaatnya kemudian proses pembuatan sabun cuci piring cair hingga siap digunakan maupun untuk dijual. Setelah mengikuti pelatihan, ibu-ibu PKK di Desa Muara Kaman Ilir sudah mampu mengetahui proses pembuatan sabun cuci piring cair dan memiliki keterampilan untuk membuat sabun cuci piring cair yang siap digunakan maupun dijual.Kata Kunci: Pelatihan, Sabun Cuci Piring Cair, Ibu-ibu PKK.
Pemodelan Pemodelan Regresi Nonparametrik Berdasarkan Estimator Spline Truncated pada Data Simulasi Ghony N Nurhuda; Wasono Wasono; Darnah Andi Nohe
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 1 (2022): SEPTEMBER, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i1.21534

Abstract

Regression analysis is one of the statistical analysis used to estimate the pattern of the relationship between predictor variables and response variables . In general, the approach to estimating the regression function is the parametric regression, the nonparametric regression and the semiparametric regression. The approach with parametric regression is used if the shape of the regression curve is assumed to follow a certain pattern such as linear, quadratic, cubic and so on, but in fact there is an unknown pattern of relationship between predictor variables and response variables, so nonparametric regression is used. Then the combination of parametric and nonparametric regression is semiparametric regression. One of the well-known nonparametric regression estimators is the spline truncated. This study was conducted by simulating the relationship pattern of the response variable and the predictor variable that not have specific pattern by following a trigonometric function that formed a regression curve with a standard deviation of 0,05 and 0,25 which formed a different distribution of data, then will be approached with parametric regression (linear, quadratic, cubic) and nonparametric regression (spline truncated linear). Based on the coefficient of determination of each standard deviation, it will shows that the nonparametric regression approach has high flexibility so that it is able to adjust the form of regression curve estimation by itself
Literasi Dasar Melalui Numerasi dan Keuangan Rito Goejantoro; Ika Purnamasari; Memi Nor Hayati; Meiliyani Siringoringo; Darnah Andi Nohe; Muhammad Fathurahman; Surya Prangga; Khairun Nida; Sekar Nur Utami; Dini Elizabeth
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 6, No 12 (2023): Volume 6 No 12 2023
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v6i12.12705

Abstract

ABSTRAK Gerakan Literasi Nasional (GLN) merupakan kegiatan yang saat ini diserukan sebagai bentuk penerapan dari peraturan KEMENDIKBUD untuk menumbuhkan budi pekerti masyarakat. Numerasi dan literasi keuangan merupakan dua jenis literasi yang saling terkait. Salah satu dimensi dari literasi keuangan yaitu keterampilan menghitung. Keterampilan ini terkait pemahaman numerik, lambang bilangan dan analisa kuantitatif yang berkenaan dengan statistika dasar dalam dimensi numerasi. Kegiatan ini memiliki tujuan yaitu memberikan informasi dan pengetahuan numerasi dan keuangan kepada peserta dengan cara sederhana, menyenangkan, dan mudah dipahami berdasarkan tema lingkungan sekitar. Hasil penilaian sebelum dan sesudah kegiatan, menunjukkan bahwa adanya peningkatan kemampuan dan pemahaman peserta terkait numerasi dan keuangan, yang terlihat dari kenaikan nilai rata-rata pada saat evaluasi. Untuk kegiatan literasi selanjutnya, materi yang disampaikan dapat ditingkatkan ke jenjang materi lanjutan, serta dapat mengkombinasikan antara numerasi, literasi keuangan, dan digital untuk lebih menarik. Kata Kunci: GLN, KEMENDIKBUD, Literasi, Numerasi, Literasi Keuangan ABSTRACT The National Literacy Movement (GLN) is an activity that is currently called for as a form of application of the regulation of KEMENDIKBUD to foster community ethics. Numeracy and financial literacy are two types of literacy that are interrelated. One dimension of financial literacy is counting skills. This skill is related to numerical understanding, number symbols and quantitative analysis related to basic statistics in the numeracy dimension. This activity has the following objectives is to provide numeracy and financial information and knowledge to participants in a simple, fun, and easy-to-understand way based on the theme of the surrounding environment. The results of the assessment before and after the activity showed an increase in the abilities of participants and understanding related to numeracy and finance, which can be seen through the increase in the average scores at the time of evaluation. For further literacy activities, the material delivered can be upgraded to an advanced level of material, and can combine numeracy, financial literacy, and digital to be more attractive. Keywords: GLN, KEMENDIKBUD, Literacy, Numerasi, Financial Literacy.