Bidullah, Ramli
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Risk Analysis of Groundwater Contaminant in Rural Areas Using Spatial Distribution Herawati, Herawati; Kanan, Maria; Anwar Mallongi; Bidullah, Ramli; Sakati, Sandy N.; Balebu, Dwi Wahyu
Journal of Public Health and Pharmacy Vol. 4 No. 3: NOVEMBER 2024
Publisher : Pusat Pengembangan Teknologi Informasi dan Jurnal Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jphp.v4i3.6032

Abstract

Background: Water is a very important material for the life of creatures in nature and its function for life cannot be replaced by other compounds. Groundwater is an important resource for humans, especially in rural areas that depend on Groundwaters as the main source of clean water. However, the quality of groundwater in many areas has decreased due to pollution from human activities, such as agriculture and industry. Method: This study aims to analyse the level of pollution risk of groundwaters in rural areas of Masama District, Banggai Regency using descriptive quantitative methods. Spatial analysis of pollution risk was conducted on 516 Groundwaters selected as samples. Spatial data is collected by recording the location of each well using GPS, which is then used to create a spatial map. The pollution risk analysis is based on the Sanitation Inspection results, using 11 key indicators. Result: The results showed that 4 Groundwaters (0.78%) were in the very high pollution risk category, 115 Groundwaters (22.29%) were in the high-risk category, 204 Groundwaters (39.53%) were classified as medium risk, and 193 Groundwaters (37.40%) had low pollution risk. The results indicate that most Groundwaters in the study area are at moderate to high risk. Groundwaters with high and very high risk are dominated by Groundwaters located in Minang Andala, Purwo Agung and Kembang Merta villages, which are agricultural areas with sufficient area and most of the people have livestock around their homes which could potentially be a source of contaminants. Conclusion: This study shows that the majority of Groundwaters in the study area have a moderate to high risk of pollution, with high and very high-risk categories found in villages that have agricultural and livestock activities. This emphasises the need for more intensive groundwater management and protection measures.
Assessing Patient Satisfaction in an Internal Medicine Polyclinic Using Cartesian Analysis: A Case Study at Luwuk Regional Hospital Lanyumba, Fitrianty Sutadi; Pongsampe, Gebby; Herawati, Herawati; Kanan, Maria; Sattu, Marselina; Bidullah, Ramli; Dwi Gunawan, Nur Hendra
Journal of Health and Nutrition Research Vol. 4 No. 2 (2025)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v4i2.529

Abstract

Good service quality is one of the important factors in trying to create consumer satisfaction. Indicators on the SERVQUAL instrument can be used to measure the level of satisfaction with the quality of health services. This study aims to analyse the satisfaction of internal medicine patients at the polyclinic at the Luwuk Regional General Hospital using a Cartesian diagram. This type of research is an observational analysis where the sample size is 125 internal medicine polyclinic patients, with sampling techniques, namely accidental sampling. The data obtained was processed using SPSS and analysed using a Cartesian diagram. The results of the study showed that the total performance value (xi) was 77.664, the total expectation value (yi) was 85.668, and the total value of the level of suitability (TKI) was 90.65, where the criteria of the assessment were the criteria of being very satisfied. The Cartesian analysis categorized the service attributes in the hospital's internal medicine polyclinic into four quadrants, identifying high-priority areas for improvement, namely problems with registration procedures, service schedules, and attention to patient complaints, while the attributes whose performance needed to be maintained were related to staff responsiveness. Hospital management needs to maintain good attribute values so that it can provide services that are fast, precise, open, simple, easy to implement, and non-discriminatory