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INTEGRASI SMARTPHONE GPS DAN MY MAP GOOGLE PADA PENELITIAN SURVEY FILARIASIS 2017 (STUDI KASUS KABUPATEN KOLAKA UTARA) Lasut, Doni
Proceeding SENDI_U 2020: SEMINAR NASIONAL MULTI DISIPLIN ILMU DAN CALL FOR PAPERS
Publisher : Proceeding SENDI_U

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Abstract

Integrasi smartphone gps dan google my map google adalah bagian dari Sistem Informasi Geografis(SIG) merupakan sistem informasi berbasis komputer yang digunakan untuk mengolah dan menyimpan data atauinformasi berbasis geografis. Penelitian ini bertujuan untuk menghasilkan aplikasi sistem informasi geografisdengan visualisasi data spasial yang berisi letak responden, dan lingkungan di sekitar rumah tangga daerahendemis filariasis sebagai petunjuk arah yang akan disajikan kepada enumerator. Adapun metode pengumpulandata yang digunakan dalam penelitian ini adalah pengumpulan data penentuan lokasi rumah tangga tinggaldengan menggunakan aplikasi gps waypoint ,pemrosesan dengan quantum gis dan display dengan Google MyMap dan Google Map Direction Service untuk navigasi. Selanjutnya dilakukan wawancara terhadap rumahtangga dilanjutkan pengambilan specimen pada pukul 20.00 waktu setempat. Adapun hasil yang didapatkan daripenelitian ini didapatkan peta distribusi responden yang terpilih dan distribusi lingkungan habitat nyamuk disekitarnya yang terintegrasikan dengan sistem kode sebagai keamanan informasi yang didapatkan. Sebagai hasilakhir integrasi smartphone gps dan my map sangat memudahkan kegiatan penelitian secara real time sehinggadidapatkan data yang memiliki valid dan akurat meskipun ada beberapa wilayah memiliki keterbatasan jaringan.Dan pemakaian secara luas akan berguna secara lebih jauh pada penguatan sistem informasi survailanskesehatan yang evidence base.
COVID-19 Cases and Factors Associated with 11 Indonesian Provinces, 2021 Wahidin, Mugi; Ridwan, Wawan; Lasut, Doni; Kurniawan, Aan; Wardhani, Yurika Fauzia
Media Kesehatan Masyarakat Indonesia Vol. 20 No. 1: MARCH 2024
Publisher : Faculty of Public Health, Hasanuddin University, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30597/mkmi.v20i1.26480

Abstract

In collaboration with other stakeholders, National Task Force of COVID-19 Control conducted massive detection of the cases, followed by contact tracing. The study aimed to overview COVID-19 cases from 58 districts of 11 provinces in Indonesia and its associated factors. A cross-sectional study design used secondary data from The National Task Force of COVID-19 Control. COVID-19 cases and other variables were collected in 58 districts in 11 provinces of Indonesia year 2021. The study incorporated descriptive, correlation, and multiple linear regression analysis with the district as an analysis unit. The median of COVID-19 cases was 804 per district, traced cases were 70.6% of cases, cases had contact was 2.6% of cases, close contact was 2,188, the ratio of close contact: cases were 2.75, isolation drop out was 8, quarantine drop out was 9, test for close contact was 962, COVID-19 vaccine dose 1 was 147, dose 2 was 205, and no vaccine was 354. Factors significantly correlated with COVID-19 cases were cases traced, cases have epicontact, close contact, and ratio close contact. In multivariate analysis, the percentage of traced cases, cases had epicontact, isolation drop out, COVID-19 vaccine dose-1, and no COVID-19 vaccine associated with COVID-19 cases. Identifying factors related to the incidence of COVID-19 can be used to increase efforts to prevent and control COVID-19 cases in the community as a response to alertness to the emergence of new cases due to new variation mutations.
DOUBLE BURDEN OF COVID19 PANDEMIC TO PREGNANT WOMAN EARLY DETECTION WITH HBSAG IN INDONESIA Lasut, Doni; Hermawan, Asep
Muhammadiyah International Public Health and Medicine Proceeding Vol. 2 No. 1 (2022): PROCEEDING MUHAMMADIYAH INTERNATIONAL PUBLIC HEALTH AND MEDICINE CONFERENCE - S
Publisher : Fakultas Kesehatan Masyarakat Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (466.214 KB) | DOI: 10.61811/miphmp.v1i2.312

Abstract

The COVID-19 pandemic has heterogeneously affected the use of essential health services worldwide, with disruptions in some countries beginning in the early stages of the emergency in March 2020. These disruptions have occurred on both the supply and demand sides of healthcare and have often been related to resource shortages to provide care and lower patient turnout associated with mobility restrictions and fear of contracting COVID-19 at facilities. The goal of this paper, compare the HBsAg test before and after the COVID-19 pandemic to a pregnant woman's early detection with HBsAg to achieve the target of at least 80% in 2020. Method using a simple mathematical calculation modeling approach developed to predict health service use until the pandemic using routinely collected health information systems data (SIHEPI). Results show HBsAg reactive Proportion of total pregnant women in each Province is about 2,1% on 47,91% of pregnant women in Indonesia, highest in eastern Indonesia province (NTT, Papua, and West Papua). With a calculation of 80% targeted a pregnant woman in 2020, reactive Proportion predicted about 4,4% in Indonesia, West Papua becomes the highest Province with 21,38%, Papua about 12,63%, and NTT about 11,31%. In conclusion, refered to comparison of mathematical calculation approach from 80% targeted average become 4,4% reactive HBsAg test. Delaying early detection in pregnant women before and after the covid19 pandemic becomes a double burden in Indonesia. These phenomena become a high-risk factor for maternal-to-child transmission. Indonesia needs serious action to achieve Hepatitis B elimination in 2030.
Analysis of Health Risk Factors among Intercity Bus Drivers During the 2024 Eid al-Fitr Holiday Season in East Jakarta Sulastri, Rani; Erwandi, Dadan; Lasut, Doni
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.52155

Abstract

Driver health checks are crucial to ensure the safety and well-being of individuals operating vehicles, especially those in public transportation professions, such as intercity and interprovincial buses (AKAP) and similar modes of transportation, to prevent the risk of road accidents. This study aims to analyze the relationship between driver health risk factors—namely age, blood sugar levels, and amphetamine in urine—and driving fitness during the Eid al-Fitr season at two intercity bus terminals in East Jakarta Administrative City during the 2024 Eid al-Fitr season. Data collection was conducted through surveillance from April 3, 2024, to April 17, 2024, involving 667 drivers, and analyzed using univariate and bivariate methods with JASP software. The results showed that 76.6% of drivers had mild to severe hypertension, 7.8% had blood sugar levels >200 mg/L, 0.4% tested positive for respiratory alcohol, and 0.3% tested positive for amphetamine. As a recommendation, 11.1% of drivers were deemed unfit to drive. Hypertension, blood glucose levels, and driving fitness were statistically associated with driver age (p < 0.001). Age, as a confounding factor, is closely related to the measured parameters and driving fitness, necessitating attention to reduce the risk of road accidents, particularly during the Eid al-Fitr holiday period. These findings highlight the critical need for regular health monitoring of aging commercial drivers and the implementation of age-specific fitness assessment protocols to enhance road safety during high-traffic holiday periods.
New Approach to Mapping Regional Vulnerability in Controlling Tuberculosis Disease in Indonesia Herawati, Maria Holly; Hermawan, Asep; Dasuki, Dasuki; Supratikta, Hadi; Asyary, Al; Khomarudin, M Rokhis; Priyatna, Muhammad; Raflizar, Raflizar; Kristina, Kristina; Pracoyo, Noer Endah; Bisara, Dina; Purnami, Cahya Tri; Suteja, Mentari Nur Farida; Bachtiar, Yusrial; Sukoco, Noor Edi Widya; Lasut, Doni
Kesmas Vol. 19, No. 5
Publisher : UI Scholars Hub

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Abstract

Tuberculosis (TB) in Indonesia is still a health problem. The TB prevalence in Indonesia ranks second in the world after India in 2023. Regional factors, inadequate healthcare facilities, and limited resources (financial, human, and infrastructure) are challenges requiring innovation to help the government control TB. TB eradication efforts need to be made with a comprehensive and effective approach. One method used is to look at the vast territory of Indonesia, therefore, mapping the TB disease vulnerability is a highly recommended method. The use of a Geographic Information System is expected to help map the TB vulnerability areas in Indonesia. Given the existence of several epidemiological, socio-geographic, and environmental factors influencing TB, the question arises of how to map TB vulnerability areas in Indonesia. This study used a cross-sectional design, secondary data was collected from several sources, and a vulnerability analysis was performed by considering several socio-environmental epidemiological variables. Furthermore, after the analysis, the TB area vulnerability category would be obtained along with a map of TB vulnerability areas in Indonesia according to regional and district analysis units. This study produces a TB susceptibility index and map in Indonesia for the regions of Sumatra, Java-Bali, and other regions.