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All Journal Jurnal TAMBORA Jurnal Ilmu Keperawatan Jiwa Jurnal Pengabdian kepada Masyarakat Wahana Usada Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Clinical Microbiology and Infectious Diseases
Yanti, Ni Komang Semara
Udayana One Health Collaborating Center, Universitas Udayana
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Neuroscience Nursing Social Sciences Other

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Faktor-Faktor yang Memengaruhi Munculnya Tanda Gejala Depresi di Masa Pandemi Covid-19 Putu Ayu Emmy Savitri Karin; Ni Komang Semara Yanti; Ni Nyoman Clara Listya Dewi
Jurnal Ilmu Keperawatan Jiwa Vol. 4 No. 2 (2021): Mei 2021
Publisher : Persatuan Perawat Nasional Indonesia (PPNI) Jawa Tengah

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

Abstract

COVID-19 pandemic not only has significant impact on public health but also on public mental health. It is shown by the increasing number of people with depression during this pandemic. Studies reveal that there are several factors can predict depressive symptoms during COVID-19 pandemic. This study aimed to identify factors that significantly predict depressive symptoms during COVID-19 pandemic. In the present literature review, articles that focused on factors predicting depressive symptoms among general population during the COVID-19 pandemic were searched in the ProQuest, PubMed and Google Scholar databases by using Boolean Operator. Words such as general population, adult, predicting factors, protective factors, risk factors, depressive symptoms, depression, during pandemic COVID-19 were used as keywords. Then, 114.823 potential studies were found and screened based on inclusion criteria. The final 14 articles were reviewed and used in this study. The majority of population in the present study aged 18 years old and older with the total population was 129.527. Age, gender, marital status, having children, employment status, history of having mental illness, education, income and loneliness are factors that significantly predict depressive symptoms among general population during COVID-19 pandemic. These social determinants and loneliness were found as predictive factors of depressive symptoms among general population during COVID-19 pandemic.
Penyuluhan Penggunaan Antibiotik yang Bijak di Rumah Tangga Desa Bengkel, Tabanan I Gusti Ayu Rai Widowati; Ida Ayu Manik Partha Sutema; Ni Made Maharianingsih; Ni Putu Aryati Suryaningsih; I Gusti Ngurah Agung Windra Wartana Putra; Ketut Agus Adrianta; Ni Komang Semara Yanti; Ni Nyoman Sri Budayanti
Jurnal Pengabdian kepada Masyarakat Wahana Usada Vol. 5 No. 1 (2023): Juni: Jurnal Pengabdian kepada Masyarakat Wahana Usada
Publisher : Sekolah Tinggi Ilmu Kesehatan KESDAM IX/Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47859/wuj.v5i1.310

Abstract

Background: Using antibiotics for self-medication increases the risk of developing resistance, which raises morbidity and mortality. Communities are crucial in stopping and limiting the spread of antibiotic resistance (AMR). 80% of the residents in Bengkel Village work as farmers. The agrarian community in Bengkel Village has highly magnificent natural potential as well as agricultural and cultural activities that are still well maintained. It also has the largest “subak” land in Kediri Regency. Purpose: This community service is to educate the general population about the importance of limiting the use of antibiotic self-medication, which is essential for combating AMR. Methods: The Clinical Pharmacy Study Program, the Indonesian Pharmacists Association Bali Province, and the One Health Collaborating Center collaborated on this community service. On July 17, 2022, in Bengkel Village-Tabanan, a health counseling intervention was done with housewives who are participants in the Family Welfare Empowerment. Results: Over 50 people from the Chairman, Management, and Family Welfare Empowerment cadres in Bengkel Village made up the community component of this health counseling. The participants' enthusiasm for watching the event and engaging with the resource people is proof that the activity went off without a hitch. By providing more counseling, activities are intended to be sustained (stage 2). Conclusion: Community service in Bengkel Village-Tabanan is expected to provide knowledge about health and the importance of AMR awareness. For the continuation of this activity, it is recommended to conduct outreach to other community groups such as farmers, breeders, and young age groups.
ALTERNATIVE MODELS IN OVERCOMING THE PROBLEM OF OVERDISPERSION IN POISSON REGRESSION Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal TAMBORA Vol. 7 No. 2 (2023): EDISI 19
Publisher : Wakil Rektor 3, Direktorat Riset, Publikasi dan Inovasi, Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jt.v7i2.2773

Abstract

This study aims to compare various alternative models in overcoming the problem of overdispersion in Poisson regression modeling. The comparative modeling is the Generalized Poisson model, Negative Binomial, and Generalized Negative Binomial. Modeling is applied to modeling the number of poor people in Central Java in 2021 with unemployment, HDI, and GRDP as independent variables. The results obtained by Generalized Poison are better than Negative Binomial and Generalized Negative Binomial because of the smaller AIC and BIC values ??and the larger R2. For simultaneous tests, it can be concluded that unemployment, HDI, and GRDP significantly affect the number of poor people. Only unemployment and HDI variables partially affect the number of poor people in Central Java. On the other hand, there is not enough evidence that GRDP affects some poor people. There is a need for comprehensive and relevant policies to overcome the number of poor people in an area.
IMPLEMENTATION BINARY LOGISTIC MODEL ON FACTORS AFFECTING A PERSON'S SMOKING STATUS Yunita Yunita; Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.55

Abstract

This study aims to determine factors influencing a person's smoking status. The independent variables used were gender, working status, marital status, age, and average length of schooling. The data comes from the 2014 Indonesian Family Life Surveys (IFLS). The analytical method used is binomial/binary logistic regression. The results showed that all of the independent variables significantly affected a person's decision to smoke. Partially, age, working status, marital status, and gender positively affect a person's decision to smoke. This result means that at a higher age, a working, married and male person has a greater chance to smoke than a younger, single/not married, and female. On the other hand, the average length of schooling significantly negatively affects smoking, meaning that the higher the education, the lower the chance of smoking. Therefore, regulations that are right on target, both by the government and society, are needed to reduce the number of smokers in Indonesia
KOMPARASI PEMODELAN REGRESI OLS GAUSSIAN, BETA DAN REGRESI FRACTIONAL PADA DATA RASIO Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika; Nurhidayati Nurhidayati; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.61

Abstract

The Public Health Development Index (PHDI) is an indicator that describes health problems and plays a role in efforts to increase long and healthy life expectancy. This study aims to compare PHDI modeling in 35 City Districts of Central Java Province using Gaussian-based regression (OLS), beta regression and fractional regression. The independent variables used are the percentage of poor people and the percentage of households accessing proper sanitation. Data is sourced from the Ministry of Health and Central Java Statistics Agency. All three models gave the same results for both simultaneous and partial tests in modeling PHDI modeling cases. Fractional regression models provide the best results with the smallest error value criteria (AIC and BIC). The percentage of poor people has a significant negative effect on IPKM while the percentage of proper sanitation has a significant positive effect on PHDI. Based on these results, it is expected that policy makers can provide comprehensive and targeted policies in improving PHDI in Indonesia
Detection of antibacterial activity in chicken meat, eggs, drinking water, animal feed and sewage waste in Tabanan, Bali Setiabudy, Marta; Indraningrat, Anak Agung Gede; Suryanditha, Putu Arya; Budayanti, Ni Nyoman Sri; Yanti, Ni Komang Semara; Adhiputra, I Ketut Agus Indra; Widowati, I Gusti Ayu Rai; Agustina, Kadek Karang
Journal of Clinical Microbiology and Infectious Diseases Vol. 3 No. 1 (2023): Available online : June 2023
Publisher : Indonesian Society for Clinical Microbiology (Perhimpunan Dokter Spesialis Mikrobiologi Klinik Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51559/jcmid.v3i1.51

Abstract

Background: The use of antibiotics that are not in accordance with the indications, doses, and duration can trigger resistance and there is concern that it might leave antibiotic residues in the processed product. Aim of this study was to detect the antibacterial activity of livestock products, namely chicken meat and eggs and the surrounding environment such as drinking water, animal feed and waste disposal. This study was a preliminary study before the establishment of antibiotic wise village, One Health approach for antimicrobial stewardship program. Methods: This study was a descriptive study with a cross sectional design to determine antibacterial activity, particularly tetracycline in livestock products and the environment. The research samples were taken from 5 groups of farmers in one of the villages in Tabanan, Bali. Bioassay method based on the Kirby Bauer method was used in this study. Results: From a total of 44 samples, 6 samples showed weak antibiotic tetracycline activity (13.6%), namely in waste disposal (20%) and animal feed (40%). Antibiotic contamination was likely to occur because the animal feed used in this group contains antibiotics with or without the knowledge of the farmers themselves. Disposal waste came from livestock manure that ate the feed or from animal feed that was scattered around the cage. Conclusion: Samples of livestock meat and eggs did not show antibacterial activity. There were samples that have antibiotic activity but weak and inconsistent, namely in samples of waste disposal and animal feed. This condition cannot necessarily be concluded as antibiotic abuse in livestock however it can be the basis for the importance of providing education regarding antimicrobial resistance. Unless there was indication, antibiotics should not be given to livestock on a daily basis.
Co-Authors Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Adhiputra, I Ketut Agus Indra Indraningrat, Anak Agung Gede Kadek Karang Agustina Ketut Agus Adrianta Ni Made Maharianingsih Ni Nyoman Clara Listya Dewi Ni Nyoman Sri Budayanti Ni Nyoman Sri Budayanti Ni Putu Aryati Suryaningsih Nurhidayati Nurhidayati Pardomuan Robinson Sihombing Putu Arya Suryanditha Putu Ayu Emmy Savitri Karin Putu Pande Wahyu Diatmika Setiabudy, Marta Sigit Budiantono Sutema, Ida Ayu Manik Partha Wartana Putra, I Gusti Ngurah Agung Windra Widowati, I Gusti Ayu Rai - Yunita Yunita