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Pengelolaam data dan informasi status gizi balita dan pengambilan keputusan program gizi di puskesmas se-Kabupaten Majene Shafwan Shafwan; Hari Kusnanto; Anis Fuad
Jurnal Gizi Klinik Indonesia Vol 5, No 2 (2008): November
Publisher : Minat S2 Gizi dan Kesehatan, Prodi S2 IKM, FK-KMK UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijcn.17555

Abstract

Background: Improved nutritional status is needed throughout the life cycle including children under five. Of age in formulating suitable policies for nutrition improvement program, decision makers require relevant information about nutritional status of the community. The implementation of health information system at District of Majene is not yet optimum. There are some problems such as inaccurate data, inconsistent or unreliable data, delay in data reporting, and processing and presentation of data are rarely made, reporting is done as routine disregarding data quality, there is no feedback from the health office and so on. Decentralization has offered an opportunity for the health center to make its own policy in optimizing nutrition improvement program. However, health centers at District of Majene have never made decisions based on evidence.Objective: The study aimed to get an overview of data and information management of nutritional status of children under five comprising availability, processing, presentation of data, and the decision making of nutrition program at the health centers of District of Majene.Method: This was a descriptive case study with qualitative method. Subjects of the study were nutrition staff of the health centers, head of health centers, and head of nutrition section of district health office with health centers and head of health office as analysis units. Data were obtained through indepth interview, focus group discussion, questionnaire, observation, and documentation.Results: Data and information on nutritional status of children under five years of age were available in all health centers; however format of reporting was unavailable. Data in LB3 accurate, in FIII/gizi and SKDN were inaccurate because there was data manipulation and cadres had limited skills. Data were not valid because there was no signature of head of the health center in the report. Data in FIII/gizi and SKDN reliable, in LB3 not reliable  because there was no coordination among staff. Data in SKDN were completed, in FIII/gizi and LB3 incomplete because some of the forms were blank. Data were not provided timely due to less commited cadres, geographical factors, and lack of pressure from the health office. Data were accessible because staff were active in maintaining records. Data were processed manually and presented in the form of narratives, tables and graphs. Decisions made were socialization, counseling, growth monitoring and comple- mentary breastfeeding distribution monitoring. However, they were not based on data so that reports were only made as routine activities.Conclusion: Data and information on nutritional status of children under five years of age were available at the health centers with quality data in every format of reporting of various kinds. Data and information were processed manually and presented in the form of narratives, tables, and graphs. Decisions made were socialization, counseling, growth monitoring, and complementary breastfeeding distribution monitoring. Decisions made were not based on data available.
Understanding the community interest of breast cancer in Indonesia: a digital epidemiology study using Google trends Atina Husnayain; Anis Fuad
Berita Kedokteran Masyarakat (BKM) Vol 34, No 11 (2018): Proceedings of the 4th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1653.714 KB) | DOI: 10.22146/bkm.40635

Abstract

Introduction. Breast cancer was count for 30.5% of all cancers diagnosed in Indonesia. Although preventable, breast cancer is mostly diagnosed in advanced stages and caused leading dead among females. Given the increasing growth of online information seeking behavior, adequate cancer health promotion through virtual setting is needed to tackle the massive increasing burden of breast cancer. Therefore this study aims to explore the community interest in breast cancer using Google Trends. Method. 5 years (from September 2013 to August 2018) information searches for breast cancer from Google were retrieved in Indonesian language. Data were downloaded at national and sub-region level to examine the pattern and distribution of queries. Results. Sporadic traces of information searches related to breast cancer from Google Trends presented the pattern and distribution of queries. Massive search happened in July 2015 and June 2017 following the died of Indonesian celebrity who suffered from breast cancer. However, the cancer awareness month every October does not impact the number of information searches. Considering the high influence of celebrities, many studies reveal the positive impact of celebrities involvement in health promotion. Celebrity can attract the public attention to health messages and increase the agreement of vaccination and screening for cancer. Thereby, celebrities involvement and availability of qualified breast cancer online information should be increased to win the breast cancer health promotion program in the digital era. Online information related to breast cancer could be disseminated through targetted risk population using Mobile JKN that has been downloaded by 1.5 million members. Conclusion. Google Trends could be potentially used as a novel tool to measure the dynamics of community interest in breast cancer in Indonesia. Therefore, adequate cancer health promotion through a virtual setting is the key to tackling the massive increasing burden of breast cancer in the digital era.
Is health condition affect the online health information seeking behavior? a report from Indonesia Atina Husnayain; Lastdes Cristiany Friday; Anis Fuad
Berita Kedokteran Masyarakat (BKM) Vol 35, No 4 (2019): Proceedings the 5th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1208.082 KB) | DOI: 10.22146/bkm.45155

Abstract

Background: Google Trends has increasingly received attention as the potential data source for diseases surveillance in the last two decades. In Indonesia, Google Trends was detected as a novel predictor for dengue outbreak in national and sub-national level. Although the accuracy depended on online information seeking behavior, no study was performed at the state level. This approach is necessary to be assessed in order to measure the representativeness of the online health information seeking pattern captured by Google Trends. Objective: This study aimed to examine the online health information seeking behavior according to the history of health condition among Indonesian aged 15-60 years old. Methods: Online health information seeking behavior’ survey was conducted in 2017, involved 385 respondents. Questions were asked in three different parts including the online health information seeking in general, the use of social media, and the use of search engines. Statistical analysis was conducted using Prevalence odds ratio (POR) in Stata version 13. Results: Prevalence odds ratio analysis shows that person who ever experiences ill in the last three months is 1.63 (CI 95% 1.06-2.50) more likely to have access to the online health information on the Internet. Online health information seeking behavior seem to be in-line both using social media and search engines. The person who ever experiences ill in last three months is more likely to have access to the online health information on social media (POR 1.60; CI 95% 0.95-2.74) and search engines (POR 2.89; CI 95% 1.63-5.28). Moreover, looking for disease information on social media (POR 1.61; CI 95% 1.04-2.49) and search engines (POR 2.23; CI 95% 1.43-3.51) also influenced by health condition. Conclusions: History of health condition affects online health information seeking behavior. Further research needs to assess the Indonesian online health information seeking behavior related to a certain disease.
Analisis temporal efek cuaca terhadap leptospirosis di kabupaten Bantul, Yogyakarta tahun 2010-2018 Nur Lathifah Syakbanah; Anis Fuad; Hari Kusnanto
Berita Kedokteran Masyarakat (BKM) Vol 35, No 4 (2019): Proceedings the 5th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.29 KB) | DOI: 10.22146/bkm.45186

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Tujuan: Menganalisis efek suhu udara, kelembapan udara dan curah hujan terhadap kejadian leptospirosis secara temporal di Kabupaten Bantul tahun 2010-2018. Metode: Desain penelitian menggunakan studi ekologi berbasis time-series, antara faktor cuaca (suhu udara, kelembapan udara dan curah hujan) dari stasiun cuaca Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) DIY dan kejadian bulanan leptospirosis di Kabupaten Bantul selama periode 9 tahun, 2010-2018. Pearson’s correlation dan time-lag correlation dilakukan dengan STATA 13 guna mengamati asosiasi secara temporal, selanjutnya disajikan dalam grafik time-series dengan Microsoft Excel. Hasil: Karakteristik cuaca di Kabupaten Bantul untuk suhu udara, kelembapan udara, dan curah hujan masing-masing sebesar 27.2°C, 84%, dan 171 mm. Kejadian leptospirosis selama 2010-2018 sejumlah 779 kasus, tertinggi 120 kasus di bulan Mei dan 154 kasus pada tahun 2011. Suhu udara 3 bulan sebelumya (lag 3) berhubungan positif dan lemah terhadap kejadian leptospirosis (r=0.2493). Pola fluktuasi grafik time-series suhu udara tidak diikuti kejadian leptospirosis pada 2 tahun awal dan akhir periode. Kelembapan udara 1 bulan sebelumya (lag 1) berhubungan positif dan lemah terhadap kejadian leptospirosis (r=0.2921). Pola fluktuasi grafik time-series kelembapan udara tidak diikuti kejadian leptospirosis pada 2 tahun awal periode. Curah hujan 3 bulan sebelumya (lag 3) berhubungan positif dan sedang terhadap kejadian leptospirosis (r=0.5297). Pola fluktuasi grafik time-series curah hujan diikuti kejadian leptospirosis selama periode. Simpulan: Kejadian leptospirosis berhubungan dengan efek time-lag suhu udara, kelembapan udara dan curah hujan yang terjadi beberapa bulan sebelumnya. Diperlukan sistem kewaspadaan dini pemerintah dan masyarakat di daerah endemis menghadapi ancaman leptospirosis selama musim hujan.
Analisis spasial keterjangkauan retailer rokok terhadap perilaku merokok pada siswa SMA di kecamatan Wangi-Wangi dan kecamatan Wangi-Wangi Selatan kabupaten Wakatobi Muhammad Ihsan Awaluddin; Supriyati Supriyati; Anis Fuad
Berita Kedokteran Masyarakat (BKM) Vol 35, No 7 (2019)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.42 KB) | DOI: 10.22146/bkm.46187

Abstract

Spatial analysis the affordability of cigarette retailers on smoking behaviour high school students in Wakatobi DistrictPurpose: This study aims to analyze the spatial relationship of the affordability of cigarette retailers to the smoking behavior of high school students in the district. Wangi-Wangi and South district Wangi-Wangi, Wakatobi Regency.Method: This type of research is an analytical survey, using a cross-sectional design. With 94 samples taken randomly using a purposive sampling method.Results: Chi-square statistical tests show affordability of retailers (ρValue = 0.048), and friend smoking behavior (ρValue = 0.010) there is a statistical relationship with smoking behavior of high school students, GeoDa spatial regression test shows that affordability of retailers (p = 0.00922), friend's smoking behavior (p = 0.00204) and parents' smoking behavior (p = 0.03181) there is a spatial relationship with smoking behavior. Moran's Index is in the range of 0 <I ≤ 1 indicating positive spatial autocorrelation.Conclusion: There is a spatial relationship between the affordability of retailers, friend smoking behavior and smoking behavior of parents with smoking habits of high school students in Wangi-Wangi District and WangiWangi South District, Wakatobi Regency.
HUBUNGAN JENIS BREEDING SITES DAN KEPADATAN LARVA DENGAN KASUS MALARIA DI WILAYAH PT. FREEPORT INDONESIA KABUPATEN MIMIKA TAHUN 2013-2017: PENDEKATAN SPASIAL-TEMPORAL Wafiyyah Rizki Wiariyanti; E. Elsa Herdiana Murhandarwati; Anis Fuad
Berita Kedokteran Masyarakat (BKM) Vol 35, No 10 (2019)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.551 KB) | DOI: 10.22146/bkm.47232

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Breeding sites and larvae density with malaria cases in PT. Freeport Indonesia, mimika regency in 2013-2017: spatio-temporal approachPurpose: This study aims to determine the relationship between breeding sites and larval density in malaria cases in the Lowland region of PT. Freeport Indonesia Mimika Regency 2013-2017. Method: This study uses secondary data from PT. Freeport Indonesia in 2013 - 2017. The data used in this study included malaria case data, breeding sites and breeding sites and larval density in the lowland PTFI area from 2013-2017. Data analysis included descriptive analysis to see the distribution picture, bivariate analysis to examine the relationship between variables and spatial analysis to find out the distribution of cases and breeding sites.Results: The number of malaria cases from 2013-2017 in the Lowland PTFI region was 267 (37%) from a total population of 713 people. The highest case occurred in 2014 as many as 70 cases. Distribution of cases based on sex occurs mostly in men, in the age group of 46-50 years, based on the relatively equal employment status between employees and non-employees and based on the location, many occur in Kuala Kencana. Types of breeding sites with larvae density have a significant relationship (p <0.0001), larvae density with malaria cases also have a significant relationship (p 0.0013 and r 0.40) especially density in xpool which has a density of 2.01/dip.Conclusion: Distribution of malaria cases focused on locations where employees live and locations with high mobility. The types of breeding sites are related to larval density. The highest density of larvae is found in breeding sites of the xpool type. Larval density and malaria cases have a significant relationship with larvae density in the xpool breeding site.
EVALUASI USABILITY APLIKASI “MUGITELAS” Ridna Tri Widyaningrum; Tony Arjuna; Anis Fuad
Berita Kedokteran Masyarakat (BKM) Vol 36, No 6 (2020)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.55733

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AbstrakLatar Belakang :  Seperti yang distandarkan dalam akreditasi RS, ahli gizi harus melakukan monitoring evaluasi terhadap asugan gizi diantaranya mengamati sisa makanan pasien, karena berimplikasi klinis seperti asupan yang tidak adeqwat, memperpanjang hari perawatan, meningkatkan biaya,  membuang sisa makanan yang sia-sia dan  berakibat kematian. Sayangnya, kegiatan evaluasi sisa makanan sering tidak dilakukan karena metode yang selama digunakan membutuhkan waktu yang lama untuk dikerjakan. RSU Haji Surabaya telah mencoba membuat aplikasi “Mugitelas” yaitu untuk evaluasi sisa makanan  dan asupan pasien  belum diuji usabilitas dan efisiensinya.Tujuan  :   Mengetahui usabilitas dan efisiensi waktu dari aplikasi “Mugitelas”.Metode  : Untuk mengetahui usabilitas dengan diskriptif kwantitatif menggunakan System Usability Scale (SUS) sedangkan untuk meneliti efisiensi waktu menggunakan quasi eksperimental sebelum dan sesudah penggunaan aplikasi dengan menggunakan paired t-test dan Univariate Multi way Analysis of Variance (ANOVA).Hasil : Dari uji usabilitas didapat angka 88 yang berarti aplikasi “Mugitelas” ini dapat diterima untuk digunakan sebagai alat pengamatan sisa makanan  dan menaksir nilai gizi asupan pasien di RSU Haji Surabaya. Sedangkan dari uji paired t-tes didapat pv = 0,000   yang artinya aplikasi ini bisa menghemat waktu sebesar 293,9 detik atau 4,9 menit per pasien dibandingkan dengan cara manual. Sedangkan untuk uji Annova, semua variable, umur, pendidikan, lama menggunakan HP android dan lama bekerja tidak signifikan terhadap waktu penggunaan aplikasi yang berarti aplikasi ini bisa digunakan oleh semua ahli gizi di RSU Haji Surabaya. Untuk uji paired t-test penggunaan aplikasi pada minggu 1 dengan minggu ke-2 dan ke-3 didapat pv= 0,0006 dan pv = 0,0165 yang berarti butuh waktu tidak lebih dari satu minggu untuk beradaptasi dengan aplikasi ini. Kesimpulan : Aplikasi “Mugitelas” ini bisa diterima untuk pengamatan sisa makanan dan menaksir nilai gizi asupan pasien, serta dapat menghemat waktu sebesar rata-rata 5 menit per pasien dan butuh waktu tidak lebih dari satu minggu untuk bisa beradaptasi dengan aplikasi ini. 
ANALISIS SPASIAL KETERJANGKAUAN RETAILER ROKOK TERHADAP PERILAKU MEROKOK PADA SISWA SEKOLAH MENENGAH ATAS (SMA) DI KEC. WANGI-WANGI DAN WANGIWANGI SELATAN KABUPATEN WAKATOBI Muhammad Ihsan Awaluddin; Supriyati; Anis Fuad
Journal of Health Service Management Vol 23 No 01 (2020)
Publisher : Departemen Kebijakan dan Manajemen Kesehatan, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Universitas Gadjah Mada, Yogyakarta Jl. Farmako Sekip Utara Yogyakarta 55281 Telp 0274-547490

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (167.521 KB) | DOI: 10.22146/jmpk.v23i01.4173

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Background: Indonesia is still the third country with the most active smokers in the world (61.4 million smokers), after China and India. Data on cases of smoking violations at school in 2017 were 64 cases of smoking violations in all high schools in Wangi-Wangi District and 45 cases in high schools in Wangi-Wangi Selatan District and until August 2018 there were 68 reported cases of smoking violations in high school in these 2 subdistricts and is predicted to continue to increase. Objective: To analyze the spatial relationship between the afford ability of cigarette retailers by high school students on smoking behavior spatially in Wangi-wangi District and South Wangi-wangi District, Wakatobi Regency. Methods: Type of research is an analytic survey, using a cross sectional study design with consecutive sampling technique. Where the sample is high school students with a sample of 94 people. Results: The results showed that there was a significant correlation between the affordability of retailers (p-Value = 0.048) with the smoking behavior of high school students PR 2.09 (95% CI 0.015-4.123), and the smoking behavior of friends (p-Value = 0.010) with the smoking behavior of high school students PR 1.82 (95% CI 1,096-13,662), GeoDa spatial regression test shows that retailer’s affordability (p = 0.00922), friend’s smoking behavior (p = 0.00204) and parental smoking behavior (p = 0.03181) shows spatial relation ship with smoking behavior, where the parental smoking behavior variable has weak spatial autocorrelation because its Morran’s index is close to zero. Conclusion: There is a spatial relationship between the affordability of retailers, friend smoking behavior and smoking behavior of parents with smoking habits of high school students in Wangi-Wangi District and WangiWangi South District, Wakatobi Regency
Mengukur Perilaku Manusia dalam Skala Besar dan Secara Real-time: Studi Kasus Pola Mobilitas Penduduk dan Fase Awal Pandemi COVID-19 di Indonesia Aditya Lia Ramadona; Risalia Reni Arisanti; Anis Fuad; Muhammad Ali Imron; Citra Indriani; Riris Andono Ahmad
Jurnal Epidemiologi Kesehatan Komunitas Vol 8, No 2 : Agustus 2023
Publisher : Master of Epidemiology, School of Postgraduate Studies, Diponegoro University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jekk.v8i2.16646

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Background: Good decisions in policy-making rely on acquiring the best possible understanding at the fast pace of what is happening and what might happen next in the population. Immediate measurements and predictions of disease spread would help authorities take necessary action to mitigate the rapid geographical spread of potential emerging infectious diseases. Unfortunately, measuring human behavior in nearly real-time, specifically at a large scale, has been labor-intensive, time-consuming, and expensive. Consequently, measurements are often unfeasible or delayed in developing in-time policy decisions. The increasing use of online services such as Twitter generates vast volumes and varieties of data, often available at high speed. These datasets might provide the opportunity to obtain immediate measurements of human behavior. Here we describe how the patterns of population mobility can be associated with the number of COVID-19 cases and, subsequently, could be used to simulate the potential path of disease spreading.Methods: Our analysis of country-scale population mobility networks is based on a proxy network from geotagged Twitter data, which we incorporated into a model to reproduce the spatial spread of the early phase COVID-19 pandemic in Indonesia. We used aggregated province-level mobility data from January through December 2019 for the baseline mobility patterns from DKI Jakarta as the origin of the 33 provinces' destinations in Indonesia.Result: We found that population mobility patterns explain 62 percent of the variation in the occurrence of COVID-19 cases in the early phases of the pandemic. In addition, we confirm that online services have the potential to measure human behavior in nearly real time.Conclusion: We believe that our work contributes to previous research by developing a scalable early warning system for public health decision-makers in charge of developing mitigation policies for the potential spread of emerging infectious diseases.
Sistem informasi geografis untuk pemetaan sebaran kasus tuberkulosis di wilayah kota Manado Meityn Disye Kasaluhe; Anis Fuad; Riris Andono Ahmad
Berita Kedokteran Masyarakat (BKM) Vol 35, No 11 (2019)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.47590

Abstract

Geographic information systems for mapping the distribution of tuberculosis cases in the City of ManadoPurpose: To describe the distribution of TB cases using spatial analysis such as overlay, buffer and cluster in Manado region 2018. Method: This study used survey research with cross sectional approach and Geographic Information System was used in Tuberculosis spreading cases mapping. Spatial clustering by SaTScan 9.6 and mapping by ArcMap 10.4.1.Results: In this study, the number of identifiable TB cases was 475 cases and spread in 10 sub-districts in the Manado region. The area with the highest number of TB cases was Wanea District, which was 112 (23.58%) and the area with few cases was Paal Dua District which was 23 (4.84%). Buffer analysis between the distance of the TB cases and the city center showed that the TB cases mostly had a residence with a distance of 2 km from the city center was 152 (32%). There are 6 clusters of TB cases in the city of Manado. 1st cluster was in Wanea district, 2nd cluster was in Singkil district, 3th cluster was between Malalayang district and Sario district, 4th cluster was located between Tuminting district and Bunaken district, 5th cluster was between Mapanget district and Singkil district,  6th cluster was between Wanea district, Wenang district, Sario district and Paal Dua district. Conclusion: Tuberculosis is a multifactorial disease. Geographical information systems for mapping the distribution of TB cases can be identified in areas that have special characteristics that can support transmission of TB. Mapping of Tuberculosis was expected to help in planning a program to restraint Tuberculosis in the Manado region.