1,720,958 research outputs found
Integrating Water Indicators In A Data-Driven Artificial Intelligence Model For Food Security Classification
Full text linkPenelitian ini menjelaskan integrasi indikator air dalam pengklasifikasian ketahanan pangan provinsi di Indonesia. Pentingnya topik ini terkait dengan hubungan yang signifikan antara air, pangan, dan energi dalam mencapai ketahanan pangan berkelanjutan. Penggunaan kecerdasan buatan, khususnya dalam bentuk algoritma XGBoost, merupakan langkah cerdas dalam mengolah data dan melakukan pengklasifikasian ketahanan pangan. Data indikator air dan cut-off point Indeks Ketahanan Pangan digunakan dalam mengembangkan model XGBoost yang bertujuan mengklasifikasikan provinsi-provinsi sebagai high food vulnerability atau "high food security. Metode penelitian melibatkan pengumpulan data, preprocessing data, serta penerapan algoritma XGBoost dengan tuning parameter. Hasil penelitian menunjukkan bahwa model yang dikembangkan memiliki akurasi sebesar 91%, dengan variabel proporsi rumah tangga yang memiliki akses terhadap sumber air minum yang aman (X1) sebagai faktor paling berpengaruh dalam pengklasifikasian ketahanan pangan. Penelitian ini bukan hanya memberikan wawasan penting terkait ketahanan pangan provinsi di Indonesia, tetapi juga menunjukkan potensi besar kecerdasan buatan dalam mengatasi permasalahan kompleks seperti ketahanan pangan. Dengan hasil yang diperoleh, dapat diperkuat argumen pentingnya penerapan teknologi kecerdasan buatan dalam mendukung kebijakan dan tindakan nyata dalam upaya mencapai ketahanan pangan yang lebih baik dan berkelanjutan
Analisis Pengaruh Fasilitas Kesehatan terhadap Kematian Bayi di Jawa Timur Menggunakan Pendekatan Geographically Weighted Regression
Full text linkAbstrak
Jawa Timur merupakan salah satu provinsi dengan tingkat kematian bayi yang tinggi. Analisis pengaruh fasilitas kesehatan terhadap kejadian kematian bayi di Jawa Timur dapat membantu merumuskan kebijakan dan program kesehatan ibu dan anak. Tujuan analisis ini adalah untuk mengetahui hubungan antara ketersediaan posyandu, klinik Keluarga Berencana (KB), Pos Pelayanan Keluarga Berencana Desa (PPKBD), rumah sakit bersalin, puskesmas pembantu, dan apotek dengan kejadian kematian bayi. Terdapat kemungkinan bahwa wilayah sekitar daerah dengan kematian bayi yang tinggi akan memiliki beban kematian bayi yang tinggi pula. Oleh karena itu diperlukan suatu metode pemodelan statistik dengan memperhitungkan aspek lokasi yaitu metode Geographically Weighted Regression (GWR). Analisis dan pembahasan menggunakan metode GWR mendapatkan bahwa faktor ketersediaan Posyandu Strata Pratama dan Madya serta Puskesmas Pembantu memengaruhi kejadian kematian bayi di wilayah Pacitan, Ponorogo, Pasuruan, Kediri (kota), Malang (kota), Pasuruan (kota), Banyuwangi, dan Probolinggo. Sementara itu, di wilayah Kabupaten Bondowoso, Bangkalan, Batu (Kota), Blitar, Sidoarjo, dan Sumenep kejadian kematian bayi dipengaruhi oleh faktor ketersediaan Posyandu Strata Pratama dan Madya. Faktor ketersediaan Posyandu Strata Purnama dan Mandiri memengaruhi kejadian kematian bayi di wilayah Lamongan, Madiun (Kota), Kediri, dan Malang sedangkan di wilayah Kabupaten Lumajang, Jombang, Magetan, Bojonegoro, dan Jember dipengaruhi oleh ketersediaan Posyandu Strata Purnama, dan Kabupaten Gresik oleh ketersediaan Posyandu Strata Pratama. Ketersediaan fasilitas kesehatan penunjang yang terjamin, adanya kesadaran ibu untuk menjaga kesehatan diri dan asupan nutrisi untuk bayi, serta rutin mengecek kesehatan merupakan upaya untuk menekan tingkat kematian bayi di Jawa Timur.
Kata kunci: fasilitas kesehatan, Geographically Weighted Regression, kematian bayi, spasial analisis Abstract
East Java is one of the provinces with high infant mortality rates. Analysis of the influence of health facilities on infant mortality in East Java can help to formulate maternal and child health policies and programs. The purpose of this analysis is to determine the relationship between the availability of Integrated Healthcare Center (Posyandu), family planning clinics, village family planning services (PPKBD), maternity hospitals, supporting health centers, and pharmacies with the incidence of infant mortality. There is a possibility that the surrounding area of an area with high infant mortality will have the same burden. Therefore we need a statistical modeling method that takes into account the location aspects, such as the Geographically Weighted Regression (GWR) method. Analysis and discussion using GWR analysis showed that the availability of Posyandu Strata Pratama and Madya, as well as the supporting health centers, affected infant mortality incidence in Pacitan, Ponorogo, Pasuruan, Kediri (city), Malang (city), Pasuruan (city), Banyuwangi, and Probolinggo. While in Bondowoso Regency, Bangkalan, Batu (city), Blitar, Sidoarjo, and Sumenep, it was affected by the availability of Posyandu Strata Pratama and Madya. The availability of Posyandu Strata Purnama and Mandiri affected the incidence of infant mortality in Lamongan, Madiun (City), Kediri, and Malang areas. The availability of Posyandu Strata Purnama influenced the incidence of infant mortality in Lumajang, Jombang, Magetan, Bojonegoro, and Jember districts while Gresik Regency is affected by the availability of Posyandu Strata Pratama. The availability of supporting health facilities, the awareness of mothers to maintain personal health and nutritional intake for infants, and routine health check-up are efforts to reduce infant mortality in East Java.
Keywords: health facility, Geographically Weighted Regression, infant mortality, spatial analysi
Ensemble Stacking of Machine Learning Approach for Predicting Corrosion Inhibitor Performance of Pyridazine Compounds
Full text linkCorrosion is a major challenge affecting various industrial sectors, leading to increased operational costs and decreased equipment efficiency. The use of organic corrosion inhibitors is one of the promising solutions. This study applies an ensemble algorithm with a stacking method to estimate pyridazine-derived compounds corrosion inhibition efficiency. This study utilized various molecular characteristics of pyridazine compounds as inputs to predict inhibition efficiency values. After evaluating several boosting models, the stacking technique was chosen as it showed the best results. Stacking Model 6, which combines XGB, LGBM, and CatBoost as the base model with Random Forest as the meta-model, produced the most accurate prediction with an RMSE of 0.055. These findings indicate that machine learning approaches can effectively and efficiently predict corrosion inhibitor performance. This method offers a faster and more economical alternative to conventional experimental methods
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
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
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