1,720,957 research outputs found
MODEL KLASIFIKASI PERILAKU PENCEGAHAN KANKER SERVIKS BERBASIS MACHINE LEARNING PADA WANITA USIA SUBUR MASYARAKAT PERKOTAAN INDONESIA
Full text linkABSTRAK
Nama : S o b a r
Program Study : Pascasarjana S3 Ilmu Kesehatan Masyarakat
Title : Model Klasifikasi Perilaku Pencegahan Kanker Serviks Berbasis Machine Learning pada Wanita Usia Subur Masyarakat Perkotaan Indonesia
Kanker serviks menduduki urutan ketiga dari kejadian kanker pada wanita di seluruh dunia. Terdapat lebih dari 80% kasusnya terjadi di negara berkembang, terutama terjadi pada Wanita Usia Subur (WUS) yang tinggal di perkotaan. Tujuan dari penelitian ini adalah menemukan model klasifikasi perilaku pencegahan kanker serviks pada WUS masyarakat perkotaan di Indonesia berdasarkan variabel-variabel terkait perilaku antara lain: dukungan sosial, pemberdayaan, sikap, norma subjektif, persepsi, motivasi dan niat. Jenis penelitian kuantitatif dengan desain penelitian menggunakan comparative cross sectional study. Populasi penelitian adalah WUS yang terkena dan tidak terkena kanker serviks pada masyarakat perkotaan Indonesia, direpresentasikan di Rumah Sakit Cipto Mangunkusumo dan tinggal di Jakarta. Jumlah sampel sebanyak 106 responden, dimana 35 responden yang terkena kanker serviks dan 71 responden yang tidak terkena kanker serviks. Penelitian dilaksanakan bulan Januari- Februari 2016. Penelitian ini terdiri atas tiga fase analisis; 1). Uji model menggunakan pendekatan Structural Equation Model (SEM), 2). Uji model klasifikasi menggunakan Machine Learning (ML), dan 3). Uji gabungan antara seleksi atribut berbasis SEM dengan uji klasifikasi berbasis ML. Fase analisis pertama memperoleh hasil bahwa perilaku pencegahan kanker serviks ditentukan secara langsung dan tidak langsung oleh variabel dukungan sosial, pemberdayaan, sikap, norma subjektif, persepsi,motivasi dan niat, dimana R-Square (R2) sebesar 59.18%.Variabel norma subyektif berpengaruh langsung paling dominan dengant-statistik2.24dan f2 effect size 0.14, disusul variabel sikap dengan t-statistik 2.88 dan f2 effect size 0.13, dan paling rendah veriabel persepsi dengan t-statistik1.69 danf2 effect size 0.02. Variabel dukungan sosial dan pemberdayaan berpengaruh secara tidak langsung terhadap perilaku pencegahan kanker serviks. Fase analisis kedua, menyebutkan bahwa model pengukuran ini memiliki kinerja (performance) akurasi, sensitivity dan specificity di atas 90% dan Area Under Curve (AUC) di atas 0.95. Dari tujuh algoritma machine learning yang memiliki performance terbaik adalah LR (Logistic Regresion) dengan akurasi sebesar 96.27%, dan AUC sebesar 0.99 diikuti NB (Naïve Bayes) dengan akurasi 96,18% dan AUC sebesar 0,99. Sensitivity dan specificity antara LR dan NB nilainya sama sebesar 94.29% dan 97.18%. Fase analsis ketiga, menyebutkan bahwa terdapat kecenderungan kenaikan kinerja (performance) atau minimal sama antar sebelum dan sesudah seleksi atribut. Berdasarkan hasil analisis tersebut, dapat disimpulkan bahwa model pengukuran klasifikasi perilaku pencegahan kanker serviks berbasis ML merupakan model yang sesuai (fit) dan mampu mengklasifikasikan perilaku pencegahan kanker serviks secara akurat pada WUS masyarakat perkotaan Indonesia. Pencegahan kanker serviks berbasis perilakuadalah menjanjikan (promising) sebagai upaya penting pada level pencegahan primer dan upaya pre-emtifdalam konteks pencegahan suatu penyakit.
Kata Kunci: perilaku pencegahan, kanker serviks, dukungan sosial, pemberdayaan, sikap, norma subjektif, persepsi, motivasi, niat.
ABSTRACT
Nama : S o b a r
Programe Study : Pascasarjana S3 Public Health Science
Title : Classification Model for Prevention Behavior of Cervical Cancer based on Machine Learning on Urban Women of Childbearing Age in Indonesia
Cervical cancer was ranked third of occurrence of cancer in women in the world. There are more than 80% the case occurring in developing countries, especially happens to women of chilebearing age (WCA) in urban community.The aim of this research is to find classifications model for prevention of cervical cancerin urban women of chilebearing age in Indonesia based on related behavior variables, such as: social support, empowerment, attitude, subjective norm, perception, motivation, intention. The kind of research is quantitative with the design the research uses comparative cross sectional study. The population research is WCA that exposed and not exposed to cervical cancer of the urban population in Indonesia, represented at the Cipto Mangunkusumo Hospital and living in Jakarta. The number of samples from 106 respondents, where 35 respondent’s cervical cancer and 71 respondents were not affected cervical cancer. Research held in January to February 2016. Research is composed of the three phases analysis; 1) A model test used Structural Equation Model (SEM), 2)The model classifications test used Machine Learning (ML) and 3)Test a combination of SEM based selection attribute with ML based classification. In fisrt phase analysis, the result shows that preventionbehavior cervical cancer is determined by direct and indirect by those sevent variables with R-Square (R2) is 59.18%. Attitude variable directly influence most dominant with t-statistic 2.88 and f2 effect size 0.13, followed by subjective norms variable with t-statistic 2.24and f2 effect size 0.02. Social support and empowerment variables are influential indirectly prevention behavior cervical cancer. IN second phase analysis, the classification model has performance accuracy above 90 % and Area Under Curve (AUC) on the 0.95. There are seven algorithm machine learning; Naïve Bayes (NB), Neural Network (NN), Decision Tree (DT),Logistic Regresion (LR), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), and k-Nearest Neighboar (kNN), withthe best is LR with accuracy of 96.27 % and AUC of 0.99 folowed by NB with accuracy of 96,18% and AUC of 0,99. In third phase analysis,the results of the accuracy of being increased after conducted selection attribute based on SEM result with the best is LR 96.36 % in accuracy and 0,996 in AUC. According to the analysis, it can be concluded that the model classification measurement behavior cervical cancer prevention is the appropriate (fit) and able to classify behavior cervical cancer prevention accurately in urban WCA in Indonesia. Cervical cancer prevention based behavior an important aspect at the level of prevention primary and promise (promising) as an effort to pre-emtif in the context of disease prevention.
Keywords: prevention behavior, cervical cancer, social support, empowerment, attitude, subjective norm, perception, motivation, intentions
Dukungan Teman Sebaya, Dukungan Suami, Konsep Diri dan Aktivitas Fisik terhadap Kendali Kecemasan Wanita
No full textPermasalahan-permasalahan yang dihadapi wanita dalam menghadapi masa pre menopause memerlukan pemecahan sebagai upaya untuk menyesuaikan diri atau beradaptasi terhadap masalah dan tekanan yang mereka akan hadapi. Tingkat kendali kecemasan yang rendah berfungsi untuk menyeimbangkan emosi individu dalam situasi yang penuh tekanan. Tujuan penelitian ini untuk mengetahui pengaruh langsung dan tidak langsung serta besarannya dukungan teman sebaya, dukungan suami, konsep diri dan aktifitas fisik terhadap kendali kecemasan wanita perkotaan dalam menghadapi masa pre menopause. Jenis penelitian kuantitatif dengan desain cross sectional. Jumlah populasi penelitian sebanyak 140 wanita dalam menghadapi masa pre menopause, sedangkan jumlah sampel sebanyak 80 responden. Penelitian ini dilakukan di Kelurahan Drajat Kecamatan Kesambi Kota Cirebon pada bulan Februari 2017. Hasil pengujian hipotesis diperoleh kendali kecemasan wanita perkotaan dalam menghadapi masa pre menopause dipengaruhi oleh dukungan teman sebaya 11,37%, dukungan suami 17,49%, konsep diri 14,95%, dan aktivitas fisik 30,00%. Besar total pengaruh langsung dukungan teman sebaya, dukungan suami, konsep diri, dan aktifitas fisik terhadap kendali kecemasan wanita perkotaan dalam menghadapi masa pre menopause sebesar 84,00%, sedangkan besar total pengaruh tidak langsung sebesar 1,33%. Aktivitas fisik merupakan faktor yang berpengaruh terhadap kendali kecemasan wanita perkotaan dalam menghadapi masa pre menopause. Diharapkan wanita perkotaan dalam menghadapi masa pre menopause memanfaatkan waktu dengan melakukan aktifitas fisik yang baik, benar, terukur dan teratur, seperti jalan cepat, jogging, bersepeda, dan semua jenis senam misalnya senam aerobik, senam kesegaran jasmani dan lain-lain
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Determinants of Mothers\u27 Motivation in Preventing Malnutrition In Toddlers: A Cross-Sectional Study
No full textBackground: Malnutrition in children under five remains a persistent public health problem in Indonesia, influenced by various multidimensional factors. Maternal knowledge, perception, and both health worker and family support play critical roles in determining mothers’ motivation to prevent malnutrition. This study aimed to analyze the determinants influencing maternal motivation in preventing malnutrition among children under five.
Methods: This quantitative cross-sectional study involved 98 mothers of children under five in the working area of Sukaresmi Health Center, Cianjur. Respondents were selected using a purposive sampling technique based on predefined inclusion criteria. Data were collected using a structured questionnaire and analyzed using multiple linear regression with SPSS software.
Results: The findings revealed that maternal motivation was significantly influenced by knowledge (p = 0.007), perception (p = 0.016), health worker support (p = 0.048), and family support (p = 0.044). These four factors collectively explained 72.3% of the variance in maternal motivation to prevent malnutrition.
Conclusion: Strengthening maternal capacity through health education, improving the quality of health services, and fostering supportive family environments are essential strategies to enhance maternal motivation and reduce malnutrition rates among children under five. The study underscores the need for comprehensive, family-centered, community-based interventions to address the multifactorial nature of child malnutrition
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
- …
