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Menentukan Model Terbaik dalam Regresi Poisson dengan Menggunakan Koefisien Determinasi Darnah Darnah
Jurnal Matematika, Statistika dan Komputasi Vol. 6 No. 2: January 2010
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.266 KB) | DOI: 10.20956/jmsk.v6i2.3355

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.047 KB)

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
Pemilihan Model Terbaik pada Generalized Poisson Regression Menggunakan Akaike Information Criterion Rut Esra; Darnah Andi Nohe; M Fathurahman
Statistika Vol. 23 No. 1 (2023): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v23i1.1925

Abstract

ABSTRAK Poisson regression merupakan salah satu model regresi yang dapat digunakan untuk menganalisis hubungan antara variabel respon yang berupa data count dengan variabel prediktor berupa data count, kontinu, kategorik atau campuran dengan syarat terjadi equidispersion yaitu nilai variansi dari variabel respon harus sama dengan nilai rata-ratanya. Namun yang sering terjadi adalah pelanggaran terhadap equidispersion. Generalized Poisson Regression (GPR) adalah suatu model regresi yang digunakan untuk menganalisis hubungan antara variabel respon yang berupa data count dengan satu atau lebih variabel prediktor dan mengalami underdispersion, equidispersion, atau overdispersion. Data tuberkulosis paru (TB paru) di Indonesia tahun 2020 mengalami overdispersion, sehingga GPR adalah metode yang cocok untuk memodelkan data tersebut. Tujuan penelitian ini adalah untuk mendapatkan model GPR terbaik pada data jumlah kasus TB paru di Indonesia tahun 2020 dan mengetahui faktor-faktor yang memengaruhinya. Hasil analisis menunjukkan bahwa terdapat lima belas model GPR yang terbentuk dari empat variabel prediktor yang berpengaruh terhadap jumlah kasus TB paru di Indonesia tahun 2020. Model GPR terbaik berdasarkan nilai Akaike Information Criterion (AIC) terkecil adalah model dengan empat variabel yang berpengaruh yaitu kepadatan penduduk, jumlah penduduk miskin, persentase lantai rumah tidak kedap air, dan persentase tempat pengelolaan pangan yang memenuhi syarat. ABSTRACT Poisson regression is a regression model that can be used to analyze the relationship between response variables in the form of count data and predictor variables in the form of count, continuous, categorical or mixed data with the condition that equidispersion occurs, namely the variance value of the response variable must be equal to the average value. However, what often happens is that the variance value is greater than the average value or is called overdispersion. Generalized Poisson Regression (GPR) is a regression model used to analyze the relationship between response variables in the form of count data and one or more predictor variables and occure underdispersion, equidispersion or overdispersion. Data for pulmonary tuberculosis in Indonesia in 2020 occured overdispersion, so GPR is a suitable method to model the data. The purpose of this study was to obtain the best GPR model and to obtain the factors that significantly influence the number of pulmonary tuberculosis cases in Indonesia in 2020. The results of the analysis show that there are fifteen GPR models formed from four predictor variables that affect the number of pulmonary tuberculosis cases in Indonesia in 2020. The best GPR model based on the smallest Akaike Information Criterion (AIC) value is a model with four influential variables, namely population density, number of poor people, percentage of house floors that are not waterproof, and percentage of food management places that meet the requirements.
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.
Penerapan Algoritma K-Medoids pada Pengelompokan Wilayah Provinsi di Indonesia Berdasarkan Indikator Pendidikan Septian, Rama; Darnah, Darnah
EKSPONENSIAL Vol 14 No 2 (2023)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v14i2.1150

Abstract

Cluster analysis has the goal of grouping data that has the same characteristics into the same cluster and data that has different properties will enter into different clusters. K-Medoids is a grouping method using a representative object as the center point (medoids). The k-medoids method was developed to overcome the weakness of the k-means method which is sensitive to outliers because an object with a large value allows it to deviate from the data distribution in size. After grouping using k-medoids, the results of the grouping were validated. The cluster validation method using the Silhoutte Coefficient (SC) is a method that can be used to see the quality and strength of clusters that combine cohesion and separation methods. This study aims to obtain the optimal cluster from the largest SC value and determine the grouping results of the optimal clusters that are formed. This grouping method is applied to data on education indicators in Indonesia in 2020. Based on the results of the analysis, it is found that the optimal cluster is 2 clusters with a SC value of 0.464, where cluster 1 has 14 provinces and cluster 2 has 20 provinces. Keywords: K-Medoids, Silhoutte Coefficient, Educational Indicators
Model Regresi Nonparametrik Spline Truncated Pada Indeks Pembangunan Manusia di Indonesia Ramadhan, M. Rizky; Darnah, Darnah; Wahyuningsih, Sri
EKSPONENSIAL Vol 14 No 2 (2023)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v14i2.1090

Abstract

Truncated spline nonparametric regression is a nonparametric regression analysis using a segmented polynomial model. This segmented nature provides flexibility so that the regression model can adapt more effectively to the local characteristics of the data. The purpose of this study was to obtain a regression model and determine the factors that influence the Human Development Index (HDI) in all provinces in Indonesia using multivariable truncated spline nonparametric regression. The Human Development Index is an important indicator in measuring success in efforts to build the quality of human life. The Human Development Index can determine the rank or level of development of a region and a country. In development, a high Human Development Index is something that is expected to be achieved, especially for developing countries. The Human Development Index data used in this study is based on BPS data published in 2020 from all provinces in Indonesia. In this study, based on the results of the analysis, the best nonparametric truncated spline regression was obtained using 1 knot point, 2 knot point and 3 knot point. Based on the minimum Generalized Cross Validation (GCV) value, the best truncated spline regression model is 3 knots with an R2 value of 83.70%. The factors that influence the Human Development Index are the variables expected length of schooling, life expectancy at birth, and population
Digitalisasi Desa Dondang: Transformasi Layanan Publik Melalui Optimasi Website sebagai Katalis Perubahan Darnah, Darnah; Fauziyah, Meirinda; Dani, Andrea Tri Rian
Journal of Research Applications in Community Service Vol. 3 No. 4 (2024): Journal of Research Applications in Community Service
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/jarcoms.v3i4.3430

Abstract

Optimalisasi website Kelurahan Dondang merupakan salah satu program big77 yang lahir dari suatu permasalahan yaitu perlunya lebih memanfaatkan website sebagai media informasi dan akses layanan terpadu untuk meningkatkan aksesibilitas informasi dan efektivitas pelayanan publik. Program ini dilaksanakan selama 40 hari sejak 8 Juli 2024 hingga 12 Agustus 2024 dengan melibatkan pihak Desa Dondang sebagai Mitra Pengabdian. Metode yang digunakan dalam pelaksanaan program meliputi perencanaan, observasi data kependudukan, validasi data, dan input data ke dalam sistem. Pada tahap awal, disusun alur kerja sebagai peta jalan pelaksanaan program optimasi website. Observasi terhadap data kependudukan mengungkapkan adanya banyak data yang memerlukan validasi akibat kesalahan manusia (human error). Proses selanjutnya adalah validasi data yang diikuti dengan penginputan data ke dalam sistem untuk membangun database informasi yang akurat. Hasil dari program ini adalah tersedianya website Kelurahan Dondang yang lengkap dengan fitur pengelolaan data administrasi, layanan informasi online, dan transparansi kegiatan pemerintah. Website ini mempermudah aparat kelurahan dalam pelayanan publik, meningkatkan kecepatan dan akurasi administrasi, serta mendukung keterbukaan informasi bagi masyarakat. Dengan optimalisasi ini, pemerintah dapat mengidentifikasi permasalahan lokal dan membuat kebijakan pembangunan yang lebih terfokus.
Co-Authors Alfina Damayanti Chairunnisa, Niken Harel Dani, Andrea Tri Rian Dini Elizabeth Eka Nur Amaliah Fauziyah, Meirinda Ghony N Nurhuda Ika Purnamasari Khairun Nida Kriesniati, Prastika Krisna Rendi Awalludin M. Fathurahman M. RIZKY RAMADHAN Meiliyani Siringoringo Memi Nor Hayati Memi Norhayati Nadia Serena Ratna Kusuma, Ratna Rito Goejantoro, Rito Rut Esra Samsurianto Samsurianto Sekar Nur Utami Septian, Rama Sifriyani, Sifriyani Surya Prangga Syaripuddin Syaripuddin Wasono Wasono Yuniarti, Desi