Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JURNAL MULTIDISIPLIN ILMU AKADEMIK The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Kamilah Hayati
Unknown Affiliation
Religion Humanities Earth & Planetary Sciences Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Early Detection of Non-Communicable Diseases through Health Checks and Health Education in the Community of Tebing Tinggi Okurang Village, Rumbai Timur District, Pekanbaru City Amelia Ami; Putri Alifa Sapruddin; Dhea Indra; Sri Dewi; Hamisa Andreyanti; Nuraliza Nuraliza; Rahma Shelfana; Kamilah Hayati; Evi Nurul Khalifah; Aulia Rahmadhani; Abi Wahyudi
JURNAL MULTIDISIPLIN ILMU AKADEMIK Vol. 2 No. 5 (2025): Oktober
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jmia.v2i5.6570

Abstract

Non-Communicable Diseases (NCDs) are a major cause of morbidity and mortality worldwide, including in Indonesia. Low public awareness of the importance of regular health checks and adopting a healthy lifestyle increases the risk of NCD complications. The area is also starting to develop into a tourism destination, necessitating solutions to boost the economy. This community service activity aims to conduct early detection of NCDs through health checks and dishwashing soap making training for the community in Tebing Tinggi Okura Village to boost the economy. The methods used included observation, dishwashing soap making training, and blood pressure, blood sugar, uric acid, and weight checks on 34 respondents. The results showed that most respondents had normal test results, but 47.06% of respondents had above-normal blood pressure, 20.58% had blood sugar levels categorized as prediabetes to diabetes, and 32.35% had high uric acid levels. These findings indicate a significant risk of hypertension, diabetes mellitus, and hyperuricemia in the productive age group. Early detection has proven crucial for preventing NCDs through regular health checks. This program emphasizes the importance of promotional and preventive efforts to reduce the incidence of NCDs at the community level. Training in making marketable dishwashing soap significantly helps communities reduce expenses and boosts the economy.
HAZE REMOVAL IN THE VISIBLE BANDS OF LANDSAT 8 OLI OVER SHALLOW WATER AREA Kustiyo; Kamilah Hayati
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 2 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2445

Abstract

Haze is one of radiometric quality parameters in remote sensing imagery. With certain atmospheric correction, haze is possible to be removed. Nevertheless, an efficient method for haze removal is still a challenge. Many methods have been developed to remove or to minimize the haze disruption. While most of the developed methods deal with removing haze over land areas, this paper tried to focus to remove haze from shallow water areas. The method presented in this paper is a simple subtraction algorithm between a band that reflected by water and a band that absorbed by water. This paper used data from Landsat 8 with visible bands as a band that reflected by water while the band that absorbed by water represented by NIR, SWIR-1, and SWIR-2 bands. To validate the method, a reference data which relatively clear of cloud and haze contamination is selected. The pixel numbers from certain points are selected and collected from data scene, results scene and reference scene. Those pixel numbers, then being compared each other to get a correlation number between data scene to reference scene and between result scene and reference scene. The comparison shows that the method using NIR, SWIR-1, and SWIR-2 all significantly improved correlations numbers between result scene with reference scene to higher than 0.9. The comparison also indicates that haze removal result using NIR band had the highest correlation with reference data.
Co-Authors Abi Wahyudi Amelia Ami Dhea Indra Evi Nurul Khalifah Fachry Abda El Rahman Hamisa Andreyanti Kustiyo Nuraliza Nuraliza Putri Alifa Sapruddin Rahma Shelfana Sri Dewi