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ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI CAKUPAN IMUNISASI DASAR LENGKAP DI KOTA SOLOK
Cakupan imunisasi dasar lengkap di Kota Solok menunjukkan penurunan dalam beberapa
tahun terakhir. Pada tahun 2021, hanya 23% dari target bayi yang menerima imunisasi dasar
lengkap. Angka ini meningkat pada tahun 2022 menjadi 52,2% dari 1.343 bayi, namun turun
kembali pada tahun 2023 menjadi 45% dari 1.361 bayi—menunjukkan masalah yang serius.
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi cakupan imunisasi
dasar lengkap di Kota Solok, meliputi pengetahuan, sikap, keyakinan, sarana prasarana,
aksesibilitas layanan, biaya, dukungan keluarga, dan pemberian insentif, serta mengidentifikasi
faktor yang paling berpengaruh.
Penelitian ini menggunakan pendekatan mixed-methods, menggabungkan metode
kuantitatif dan kualitatif. Desainnya mengikuti model explanatory sequential, di mana data
kuantitatif dikumpulkan dan dianalisis terlebih dahulu, kemudian dilanjutkan dengan penelitian
kualitatif mendalam yang mengkaji komponen input, proses, dan output. Pendekatan ini dipilih
untuk memberikan pemahaman yang komprehensif dan mudah dipahami.
Data kuantitatif diperoleh dari 222 responden menggunakan kuesioner, sedangkan data
kualitatif didapatkan melalui wawancara mendalam, observasi, dan tinjauan dokumen. Hasil
penelitian menunjukkan bahwa 62,2% ibu telah mengimunisasi bayinya secara lengkap. Uji Chi-
square menunjukkan bahwa pengetahuan, sikap, keyakinan, dukungan keluarga, dan pemberian
insentif masing-masing memiliki nilai p-value 0,000 (<0,05), yang berarti terdapat hubungan
signifikan. Sementara itu, sarana prasarana (*p*=0,163 >0,05) dan biaya (*p*=0,129 >0,05) tidak
signifikan secara statistik.
Penelitian ini menyimpulkan bahwa sikap, dukungan keluarga, dan pemberian insentif
merupakan variabel yang paling kuat korelasinya dengan cakupan imunisasi dasar lengkap
Analysis of Factors Affecting Complete Basic Immunization Coverage
The coverage of complete basic immunization in Solok City has shown a decline in recent years. In 2021, only 23% of targeted infants received complete basic immunization. This figure increased in 2022 to 52.2% out of 1,343 infants, but dropped again in 2023 to 45% out of 1,361 infants, indicating a serious concern. This study aims to analyze the factors influencing complete basic immunization coverage in Solok City including knowledge, attitudes, beliefs, infrastructure, service accessibility, cost, family support, and incentive provisions and to identify the most influencing factors. This research employs a mixed-methods approach, combining quantitative and qualitative methods. The design follows an explanatory sequential model, where quantitative data is collected and analyzed first, followed by in-depth qualitative research examining input, process, and output components. The approach was chosen to provide a comprehensive and accessible understanding. Quantitative data was gathered from 222 respondents using questionnaires, while qualitative data was obtained through in-depth interviews, observations, and document reviews. The findings revealed that 62.2% of mothers had fully immunized their infants. Chi-square tests indicated that knowledge, attitudes, beliefs, family support, and incentive provisions each had a p-value of 0.000 (<0.05), showing a significant association. Meanwhile, infrastructure (p=0.163 >0.05) and cost (p=0.129 >0.05) were not statistically significant. The study concludes that attitudes, family support, and incentive provision are the most strongly correlated variables with complete basic immunization coverage
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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