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Using Virtual Laboratory Online System: "Wiley-Anatomy Drill and Practice" as an learning media for health workers Joel Rey U. Acob; Heru Santoso Wahito Nugroho; Sanglar Polnok
Aloha International Journal of Health Advancement (AIJHA) Vol 1, No 6 (2018): DECEMBER
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha10605

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Scientific publications as information on problem solving David Ackah; Sanglar Polnok
Aloha International Journal of Multidisciplinary Advancement (AIJMU) Vol 4, No 1 (2022): January
Publisher : Alliance of Health Activists (AloHA)

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

Abstract

Scientific publications as information on problem solving
What is a Good Way to Visualize the Positive Correlation between Two Numerical Variables? Heru Santoso Wahito Nugroho; Sanglar Polnok; Tanko Titus Auta; Ambo Dalle; Bahtiar Bahtiar; Pius Selasa; Koekoeh Hardjito; Atik Badi’ah; Fransiskus Salesius Onggang; I Putu Suiraoka; Alfian Helmi; Supriyanti Supriyanti; Azwarni Azwarni
Aloha International Journal of Multidisciplinary Advancement (AIJMU) Vol 3, No 1 (2021): January
Publisher : Alliance of Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (196.386 KB) | DOI: 10.33846/aijmu30201

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Most of the results of correlation analysis between variables are not equipped with visualization, so it is deemed necessary to explain how best to visualize the results of correlation analysis, especially for numerical variables. In this case, the best way to present correlations between numerical variables is a scatter diagram. If the points on the diagram are closer to the straight line, the higher the correlation coefficient, meaning that the degree of correlation is getting stronger. In this case, the positive correlation is indicated by the line from the lower left to the upper right. This visualization helps clarify the reader's understanding of the results of the correlation analysis, as well as being a valuable lesson for their similar research projects. Keywords: positive correlation; correlation coefficient; visualization; scatter diagram
Research and Development Approach in the Health Sector Joel Rey U. ACOB; Sanglar Polnok; Samsul Arifin
Health Notions Vol 6, No 11 (2022): November
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hn61101

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Marginal Homogeneity versus Wilcoxon Test in Testing Data Differences between Before and After Treatment in Health Research Heru Santoso Wahito NUGROHO; Tanko Titus Auta; Sanglar Polnok
Health Notions Vol 6, No 12 (2022): December
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hn61201

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Statistics Kingdom: A Very Helpful Basic Statistical Analysis Tool for Health Students Sanglar Polnok; Tanko Titus Auta; Heru Santoso Wahito Nugroho; Gede Dalem Gilang Mahajaya Putra; Ketut Sudiantara; I Ketut Gama; I Wayan Mustika; Suparji Suparji; Fransiskus Salesius Onggang; Wayan Rusni; Tanjung Subrata; Trisna Sumadewi; Matje Meriati Huru; Kamilus Mamoh; Jane Leo Mangi; Tri Johan Agus Yuswanto
Health Notions Vol 6, No 9 (2022): September
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hn60905

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“Statistics Kingdom” is a website that really helps the learning process of “statistics and research” for health students. When final year health students need statistical analysis tools for their research projects, then visiting the “Statistics Kingdom” website is a very good choice. Health students can very easily enter data and then analyze it directly on the website, also provided the opportunity to ask questions and discuss further with the consultant. Thus, “Statistics Kingdom” is a web-based statistical analysis tool that health students really need.Keywords: “Statistics Kingdom”; statistical analysis; website
How to Interpret Categorical Data in Health Research? Heru Santoso Wahito Nugroho; Sanglar Polnok; Joel Rey Ugsang Acob; Abdullah Al Mamun; Rafif Naufi Waskitha Hapsari; Rozan Asyrofi Rakyan Risang Aji; Bahtiar Bahtiar; Arief Budiono; Handoyo Handoyo; Hery Koesmantoro; Sunarto Sunarto; Teta Puji Rahayu; Nimsi Melati; Retno Vivi Intening; Suparji Suparji; N. Surtinah; Tri Wahyuni Ismoyowati; Tanko Titus Auta
Aloha International Journal of Health Advancement (AIJHA) Vol 6, No 8 (2023): August
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha60805

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In health research, many categorical variables are found that must be analyzed using descriptive statistical methods, then interpreted. Currently, there are still many health researchers who interpret categorical variable data in the health sector in the same way as social research in general, namely focusing on the categories with the largest proportions. In fact, for health research, researchers should focus on the expression of unexpected categories. Therefore, this should be a concern for the health research community, especially in the campus environment as the first place for students and health researchers to study and apply various types of health research. This is an urgency, so that the quality of health research can be immediately improved, especially in terms of data interpretation. It was concluded that there were many errors in interpreting categorical variable data in the health sector, so this had to be anticipated from the time of education on campus. Keywords: health research; categorical variables; data interpretation; unexpected category
The Advantages of Factor Analysis as a Method of Testing Questionnaires in Health Research Heru Santoso Wahito Nugroho; Abdullah Al Mamun; Tanko Titus Titus Auta; Bahtiar Bahtiar; Sanglar Polnok; Joel Rey Ugsang Acob; Hammad Hammad; I Putu Suiraoka; Ragu Harming Kristina
Aloha International Journal of Health Advancement (AIJHA) Vol 6, No 9 (2023): September
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha60901

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Questionnaires are a data collection method that is widely used in health research. Nowadays, the validity test that is often used to assess the quality of questionnaires is the item-total correlation test. This study aims to introduce another method that is often said to be better by experts, namely factor analysis. When compared with item-total correlation analysis, factor analysis has the advantages of: 1) it can reveal the latent structure of the variables being measured; 2) can capture multivariate variations; 3) can test construct validity, namely whether the questionnaire is able to measure concepts or constructs theoretically; 4) can determine how many factors are needed to explain the variance in the data. It was concluded that taking into account its advantages, factor analysis is the best choice for testing the validity of questionnaires in health research. Keywords: health research; questionnaire; validity test; categorical variables; factor analysis