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All Journal International Journal of Public Health Science (IJPHS) Indonesian Journal of Geography PROSIDING SEMINAR NASIONAL Al-sihah: The Public Health Science Journal Gorontalo Journal of Public Health KESMAS UWIGAMA: Jurnal Kesehatan Masyarakat Insan Cita Jurnal Pengabdian Kepada Masyarakat Nusantara Science and Technology Proceedings AloHA International Journal of Health Advancement (AIJHA) Jurnal Olahraga dan Kesehatan Indonesia (JOKI) Ahmar Metastasis Health Journal (AMHJ) Journal of the Civil Engineering Forum Jurnal Teknik Sumber Daya Air Berita Kedokteran Masyarakat Jurnal Teknik Sipil Svāsthya: Trends in General Medicine and Public Health
Ririn Pakaya
Universitas Gorontalo
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Transportation

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Analisis Hubungan Status Gizi Lansia Di Puskesmas Limboto Barat Hatta, Herman; Pakaya, Ririn; Laiya, Marlina
Gorontalo Journal of Public Health VOLUME 1 NOMOR 1, APRIL 2018
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.784 KB) | DOI: 10.32662/gjph.v1i1.146

Abstract

Nutritional problem have been found in the elderly which can be inform of lack of nutrient intake. The research aimed to find out thefactors related with the nutrient status of the elderly, the study wasthe quantitative research which was also naturally an analyticalresearch with the cross sectional study approach. The sample of theresearch was as many as 121 respondents which were determined byusing the purposive sampling technique. The finding of the researchfrom 121 respondents was showing that there was 9 elderly with theundernutrition status (7,4%) while there were 69 (57,0%) of them are innormal nutriention status. In addition, there were 43 of them (35,5%)was overnutrition. Based on the analysis bivariate by using thefisher’s exact test was showing that there was no relationship betweenthe physical activity with the nutrientional status in the elderly withthe value ρ = value 0,056 > ɑ 0,05, there was also no relationshipbetween income with the nutrientional status on elderly with the valueof ρ = value 0,001 > ɑ 0,05. However, there was a relationshipbetween the education with the nutrientional status on elderly with thevalue of ρ = value 0,003 > ɑ 0,05.
Dengue Hemorrhagic Fever (DHF) Risk Assessment for Gorontalo Regency in Indonesia Using Geographic Information System Pakaya, Ririn; Hano, Yanti Hz.; Olii, Muhammad Ramdhan
Nusantara Science and Technology Proceedings The 3rd International Conference on Vocational Innovation and Applied Sciences (ICVIAS) 2021
Publisher : Future Science

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

Abstract

Inadequate planning, housing, water, sewage, and waste management in urban and semi-urban areas produced ideal conditions for dengue viruses and their mosquito vector Aedes Aegypti to spread throughout the region over the preceding decade. Dengue prevention is primarily focused on vector control (chemical spraying, biological control, physical removal of breeding grounds, and infrastructure enhancement) and community education in the absence of a vaccine. They have not influenced the prevalence of Dengue Hemorrhagic Fever (DHF) Public health surveillance is the systematic and continuous collection of data and information on events, health problems, and conditions that influence the occurrence and spread of disease to plan, implement, and evaluate public health practices. It is crucial in dengue management since it determines the number and distribution of cases, viral serotypes, and severity of disease in a community. The purpose of this article is to examine the use of Geographic Information Systems (GIS) to determine the spatial distribution of the DHF Risk map in the Gorontalo Regency. The GIS system's overlay operation is utilized to combine two maps, namely the DHF hazard map and the DHF vulnerability map. The findings reveal that the Gorontalo Regency is dominated by low-risk classes, with a total area of 99,716.7 ha (46.52%). The GIS approach might be used to assess transmissible DHF risk zoning, which would aid in enhancing DHF and other vector-borne disease surveillance strategies to promote prevention and control efforts.
Dengue hemorrhagic fever vulnerability assessment in Gorontalo Regency using analytic hierarchy process and geoinformation techniques Ririn Pakaya; Yanti Hz. Hano; Muhammad Ramdhan Olii
International Journal of Public Health Science (IJPHS) Vol 11, No 1: March 2022
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v11i1.21084

Abstract

One method of reducing the spread of dengue hemorrhagic fever (DHF) is to provide a map of DHF-prone locations based on spatial analysis. The major way to prevent the spread of DHF is to manage and control its vector by focussing on specific regions of localisation and removing appropriate breeding circumstances. Spatial analysis can detect DHF clusters that are larger than expected based on the underlying data. This research aimed to identify and map DHF vulnerability zones based on many parameters within the scope of the analytical hierarchy and geographical information systems (GIS). We found that the consistency ratio of 0.079 for analytic hierarchy process (AHP) factor weights was judged to be satisfactory. The population density, distance to the road, and distance to health facilities were shown to be the most relevant factors in determining DHF vulnerability. Gorontalo Regency is dominated by low vulnerability classes with an area of 139,493.5 ha or 65.08% of the total area. The GIS-AHP process could be used to assess transmissible DHF vulnerability zonation, which would aid in improving surveillance strategies for DHF and other vector-borne diseases in order to encourage prevention and control actions.
The Integrated Spatial Assessment of The Flood Hazard Using AHP-GIS: The Case Study of Gorontalo Regency Muhammad Ramdhan Olii; Aleks Olii; Ririn Pakaya
Indonesian Journal of Geography Vol 53, No 1 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.59999

Abstract

Mapping of potential flood hazards is an important element in ensuring proper planning of development and implementing flood disaster mitigation efforts for flooded areas. Therefore, this study was conducted to assess the regional-scale flood hazard areas in Gorontalo District using an AHP-GIS integration technique with the focus on factors such as annual rainfall, elevation, slope, soil type, distance to the water bodies, and land-use. The flood hazard was divided into five classes, ranging from very low to very high, and 13.61% of the total area in Gorontalo Regency is classified as either high or very high. Moreover, the distribution of the hazard was verified and 65 events were recorded to have a level of 90.7% and this indicates the model is reliable to assess flood hazard. The results showed GIS-AHP integration is a promising method to accurately predict flood-hazard areas, especially in those with limited data.
SPATIAL ANALYSIS AND ENVIRONMENTAL FACTORS ASSOCIATED AGAINST CASE OF DENGUE HEMORRHAGIC FEVER (DHF) IN LIMBOTO DISTRICT, GORONTALO Ririn Pakaya
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Proceeding International Seminar of Occupational Health and Medical Sciences (I-SOCMED) 2017 “
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1012.202 KB)

Abstract

Dengue Hemorrhagic Fever (DHF) was a disease caused by dengue virus. DHF transmitted by mosquito bites from Aedes genus, mainly Aedes aegypti and Aedes albopictus. DHF was emerging over the year and attacking all of age groups.  It was related to the environmental condition and community behavior. Until now, the Incidence Rate (IR) of DHF from 1968  was increased. Mortality caused byDHF was categorized as high if CFR more than 2%. Therefore, there were  5  provinces that  categorizedon  high  CFR  in  2014  such  as  Bengkulu, Bangka  Belitung Archipelago, South Borneo, Gorontalo and Maluku. Gorontalo Province consisted of 5 regencies and Gorontalo Regencies increased dengue cases significantly, especially Limboto District i.e., 35 cases in 2012, 49 cases in 2013, 34 cases in 2014, and 40 cases by 2015 by 8 endemic counties. Objective of this study was to understand spatial distribution of DHF cases and analysis environment factor against cases of DHF in Limboto District. The method ofstudy was observational used cross sectional study design supported by Geographic Information System (GIS) for spatial information. Main result by Poisson‟s regression test showed that the environmental variables for instance precipitation, temperature, humidity, and wind  speed with DHF occurrence.   Correlation analysis  of   environmental variables to DHF cases showed that only the humidity in the previous two months (lag2) (P = 0.01) had a significant but negative correlation with DHF cases.  Keyword: DHF cases, Precipitation, Temperature, Humidity, Wind Speed
Hazard Level of Dengue Haemorrhagic Fever in Gorontalo Regency: Prediction of Spatial Distribution with AHP-GIS Integration Ririn Pakaya; Yanti Hz Hano; Muhammad Ramdhan Olii
Al-Sihah : The Public Health Science Journal Volume 13, Nomor 2, July-December 2021
Publisher : Program Studi Kesehatan Masyarakat UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/al-sihah.v13i2.21788

Abstract

Under certain climatic conditions, Aedes aegypti and Aedes albopictus mosquitoes can survive and reproduce optimally so that climate change can significantly change the pattern of disease distribution. This study aimed to model the level of Dengue Haemorrhagic Fever (DHF) hazard in Gorontalo Regency by integrating the Analytical Hierarchy Process (AHP), Geographic Information System (GIS) with climatological and topographic factors. The factors that most influence the level of hazard of DHF are annual rainfall, altitude, and humidity. The results obtained show that Gorontalo Regency is dominated by the hazard level class of 94852.31 ha or 44.25% and the moderate class area of 82553.37 ha or 38.5% of the total area of Gorontalo Regency. These results prove that Gorontalo Regency is very at risk of DHF disease. If this is not handled by the government properly, the moderate class will potentially rise to the high class. The prediction model for the DHF hazard level in this study can be made according to local conditions in the research area which have limited data. Changes in climate variables and periodicity that affect the incidence of dengue can be flexibly adapted to this model. The findings from this study provide valuable insights that have the potential to improve mitigation in public health-related interventions.
Determinants of K1 and K4 Visits Coverage at Dungaliyo Community Health Center Firdausi Ramadhani; Ririn Pakaya; FranningDeisi Badu
Aloha International Journal of Health Advancement (AIJHA) Vol 4, No 1 (2021): January
Publisher : Alliance oh Health Activists (AloHA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/aijha40102

Abstract

This study aims to determine the factors related to the coverage of K1 and K4 visits in 2019. This study used analytical observational with a cross-sectional approach. The population were all mothers who have made K1 and K4 visits at Dungaliyo Community Health Center totaling 306 people, there were 158 people (51.6%) did not complete ANC and 148 people (48.4%) had complete ANC. The sampling technique used total population sampling and data collection using a questionnaire. Based on the results of statistical analysis using the Chi square test, it showed that the distance of health services, economic status, availability of transportation, and family support had a significant relationship with the coverage of K1 and K4 visits at Dungaliyo Community Health Center in 2019, p-value of the distance to health service = 0.000, economic status = 0.021, access to transportation availability = 0.000, family support = 0.000. Keywords: K1 and K4; distance to health service; economic status; access to transportation availability; family support.
Analysis of Spatial Distribution of the Drought Hazard Index (DHI) by Integration AHP-GIS-Remote Sensing in Gorontalo Regency Muhammad Ramdhan Olii; Aleks Olii; Ririn Pakaya
Journal of the Civil Engineering Forum Vol. 8 No. 1 (January 2022)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1802.066 KB) | DOI: 10.22146/jcef.3595

Abstract

Several regions across the world are presently experiencing a continuous increase in water scarcity due to the rise in water consumption resulting from population development, agricultural and industrial expansion, climate change, and pollution. Droughts are increasing in recurrence, severity, duration, and spatial extent as a result of climate change. Drought will be one of the most serious threats posed by climate change, often in conjunction with other effects such as rising temperatures and shifting ecosystems. Therefore, this study analyzes the spatial distribution of the Drought Hazard Index (DHI) by integrating AHP-GIS-Remote Sensing in Gorontalo Regency. AHP was used to determine the significance of each map as an input parameter for the DHI, while GIS-Remote Sensing was utilized to supply and analyze all input maps and the study outcome. The DHI assessment consists of four criteria, namely with Normalized Difference Vegetation Index accounting for the highest proportion at 42.9%, followed by Land Surface Temperature (33.6%), Normalized Difference Moisture Index (16.8%), and Topographic Wetness Index (6.7%), with the consistency of the underlying expert opinion measured by the consistency ratio of 0.048. The results indicated that the general hazard of drought in the Gorontalo Regency area was low (43.53%), with 17.87% of the whole area experiencing high hazard. The high class of drought was discovered to be centered in the central region of Gorontalo Regency, which was mostly used for agricultural and economic purposes, thereby enabling policymakers to have evidence to develop management policies suitable for local conditions. Therefore, despite the limits of climatology data, this study established the value of satellite-derived data needed to support policymakers in guiding operational actions to drought hazards reduction.
ANALISIS SPASIAL DAN FAKTOR LINGKUNGAN YANG MEMPENGARUHI KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI KECAMATAN LIMBOTO KABUPATEN GORONTALO Ririn Pakaya; Lutfan Lazuardi; Hera Nirwati
Berita Kedokteran Masyarakat (BKM) Vol 35, No 9 (2019)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.50492

Abstract

Background: Dengue Hemorrhagic Fever (DHF) is diseases caused by dengue virus. DHF transmitted by mosquito bites from Aedes genus Aedes, mainly Aedes aegypti or Aedes albopictus. DHF is emerging over the year and attacking all of age groups.  It related to environmental condition and community behaviour. Incidence Rate (IR) of DHF from 1968 till now tend to showed improvement. Incidence rate of it showed extremely reduction from 2010 to 2011 and rising from 2012 to 2013 (41,25 per 100.000 person). DHF in Gorontalo has been endemic diseases every years and reported deaths of patient in this cases. Based on data of Districts Health Office Gorontalo, showed incidence of DHF has raised during last six years on 2010-2015. The extreme improvement DHF incidence on 2010 amounts 167 cases (3 person died) and the lowest reduction of DHF incidence on 2011 amounts 4 cases (1 person died). Objective: Identifying spatial distribution of DHF Incidence ana analyzing environment againts incidence of DHF in Limboto, Gorontalo.Method: Type of study was observational used cross sectional study design supported by Geographic information System (GIS) to collected spatial information.Result: Main result by poisson regression test showed association between physical environment variable such as precipitation (in same, previous, and previous two months), temperature (in same, previous, and previous two months), humidity (in same, previous, and previous two months), wind velocity (in same, previous, and previous two months). Variable of precipitation, humidity, and wind velocity in previous two months showed weak coefficient correlation and negative.Conclusion: Pattern of Dengue hemorrhagic fever (DHF) incidence following fluctuation of physical environment. Precipitation in previous two mounts, humidity, and wind velocity in same monts. The results show that the need for the District Health Office Gorontalo may considered physical environment factors on DHF’s prevention program. 
Determinan Kunjungan Antenatal Care Pada Ibu Hamil Di Wilayah Kerja Puskesmas Paguyaman Pantai Kabupaten Boalemo Tahun 2022 Marselia Sandalayuk; Yanti Hz. Hano; Ririn Pakaya
Ahmar Metastasis Health Journal Vol. 3 No. 1 (2023): Ahmar Metastasis Health Journal
Publisher : Yayasan Ahmad Mansyur Nasirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53770/amhj.v3i1.179

Abstract

Determinan kunjungan Antenatal Care (ANC) merupakan faktor-faktor yang memengaruhi keputusan dan frekuensi ibu hamil dalam mengunjungi layanan ANC selama masa kehamilan. Determinan ini melibatkan berbagai variabel yang dapat mempengaruhi partisipasi ibu hamil dalam kunjungan ANC. Di Ethiopia menunjukkan bahwa pendidikan ibu hamil, pekerjaan, dan tingkat pendapatan keluarga secara signifikan berhubungan dengan kunjungan ANC yang adekuat. Ibu hamil dengan tingkat pendidikan yang lebih tinggi, bekerja, dan memiliki tingkat pendapatan keluarga yang lebih tinggi cenderung lebih sering mengunjungi layanan ANC. Penelitian ini bertujuan untuk mengidentifikasi determinan kunjungan Antenatal Care (ANC) pada ibu hamil di wilayah kerja Puskesmas paguyaman. Metode yang digunakan dalam Studi ini dilakukan dengan menggunakan cross sectional. Sumber data dalam penelitian ini merupakan data primer dengan jumlah sampel 90 ibu hamil yang berada di wilayah kerja Puskesmas Paguyaman. Data dikumpulkan melalui wawancara menggunakan kuesioner yang mencakup variabel umur, pendidikan, pengetahuan, pekerjaan, sikap dan dukungan keluarga. Penelitian ini dilaksanakan pada bulan januari-juli tahun 2022. Hasil penelitian ini mengungkapkan bahwa faktor umur tidak ada hubungan dengan kunjungan antenaltal care pada ibu hamil antara lain; dengan p-value 5,78>α0,05. Fakor determinan lainnya yang tidak berhubungan dengan kunjungan ibu hamil padaBeberapa faor determinan yang mempengeruhi kunjungan antenatal care antara lain tinkat pendidikan dengan p-value 0.013, dan faktor dukungan keluarga dengan p-value 0,052. Dengan memahami faktor-faktor determinan kunjungan ANC, diharapkan dapat diambil langkah-langkah intervensi yang tepat guna meningkatkan cakupan kunjungan ANC di wilayah kerja Puskesmas Paguyaman. Hasil penelitian ini juga diharapkan dapat memberikan sumbangan pengetahuan yang berguna bagi para pengambil kebijakan kesehatan dalam upaya meningkatkan perhatian terhadap pelayanan ANC yang berkualitas, serta meningkatkan kesadaran ibu hamil tentang pentingnya kunjungan ANC selama masa kehamilan.
Co-Authors Aleks Olii Aleks Olii Anshari, Erwin Apriyani Apriyani Arda, Zul Adhayani Baba, Julfa Daud Sandalayuk Djafar, Lisa Doda, Nurhayati Firdausi Ramadhani Firdausi Ramadhani, Firdausi Franning Deisi Badu Franning Deisi Badu, Franning Deisi Hanapi, Sunarti Hano, Yanti Hz Hano, Yanti Hz Hano, Yanti Hz. Haris Djafar, Haris Hatta, Herman Hera Nirwati Hidayat, Andi Sahrul Hippy, Mohamad Alfandi Isnaen Muhidin, Moh. Iyou, Ismelda Laiya, Marlina Lutfan Lazuardi Maliki, Lun Irmawati Maria Kanan Nento, Sartan Nuryani Nuryani Olii, Aleks Olii, Muhammad Ramdhan Olii, Rizky Selly Nazarina Paramata, Yeni Putra Olii, Muh. Yasin Umsini Saliko, Maxidin Sandalayuk, Marselia Santoso, Triyadi Wahyuni Hafid, Wahyuni Yanti Hz. Hano Yasin, Maesarah