Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Jurnal Fisika Unand Jurnal Inotera Journal of Social Sciences and Technology for Community Service
Ramadhini, Meraty
Unknown Affiliation
Humanities Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pemetaan Masyarakat Pendonor Darah Berbasis WebGIS di Kota Metro Miristika Alliyu; Ilyas; Nurhayati, Misfallah; Ramadhini, Meraty; Aulia, Rizqi
Jurnal Inotera Vol. 10 No. 2 (2025): July - December 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss2.2025.ID420

Abstract

The availability of sufficient blood supplies is essential for fulfilling medical requirements, particularly in emergency scenarios. In Indonesia, the Indonesian Red Cross (Palang Merah Indonesia, PMI) is tasked with managing blood supplies across various regions, including Metro City. However, the current donor data management system at PMI Metro City is not yet fully optimized, potentially undermining efforts to meet local blood demands. Inconsistent donor data management poses significant challenges to blood transfusion processes, especially during emergencies. To address these inefficiencies, this study aims to develop a database system integrated with a Web-based Geographic Information System (WebGIS). The proposed WebGIS platform provides an interactive and informative visualization of blood donor distribution across Metro City. The system development follows a structured methodology comprising several phases: planning, data identification, WebGIS development using PHP, HTML, CSS, JavaScript, and Leaflet, and web hosting. The key outcomes of this research include a well-structured database and an interactive web-based map for identifying donor locations. The WebGIS system enhances PMI’s capacity to optimize blood supply strategies, particularly for urgent medical needs, by improving real-time visibility and management of donor data.
MODEL FOREST CANOPY DENSITY PADA CITRA SPOT-6 UNTUK ESTIMASI POTENSI TEGAKAN POHON DI KAWASAN PENGELOLAAN HUTAN LINDUNG BATU SERAMPOK LAMPUNG SELATAN Atmojo, Aulia; Triyani, Retno; Irwansyah Fauzi, Adam; Ulin Nuha, Muhammad; Ramadhini, Meraty; Rohman, Arif
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.771-783.2024

Abstract

Traditional forest inventory methods for obtaining tree stand data in the Batu Serampok Protected Forest Management Unit (KPHL) require significant time and resources. Therefore, remote sensing technology was employed to estimate the potential tree stand density. This study utilized the Forest Canopy Density (FCD) model and the Normalized Difference Vegetation Index (NDVI) from SPOT-6 satellite imagery to assess forest density. Field surveys were conducted to validate the image processing results. Statistical analysis, including correlation and linear regression tests, was performed. Forest density classes were converted into the number of trees per unit area using regression equations. Accuracy tests compared field data with estimated tree stand counts based on vegetation indices. The FCD correlation score was 0.85, higher than NDVI's 0.78, with linear regression results of 0.73 for FCD and 0.62 for NDVI. FCD demonstrated higher maximum accuracy (90.52%) compared to NDVI (84.08%), making it the preferred method for estimating tree stand potential. Overall, FCD reconstruction proved more accurate than NDVI, with the Batu Serampok KPHL predominantly characterized by moderate-density stands.
IoT and Renewable Energy Training and Implementation for Smart Village in Karang Anyar Prasetyawan, Purwono; Yunesti, Putty; Miranto, Afit; Nugroho, Doni Bowo; Atmajaya, Gde KM; Ramadhini, Meraty; Kahar Aziz, Muhammad Reza; Satria, Eko
Journal Social Science And Technology For Community Service Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v7i1.1662

Abstract

This community service program addressed productivity instability in oyster mushroom cultivation and limited utilization of digital and renewable-energy-based village infrastructure in Karang Anyar Village, South Lampung. The program aimed to strengthen agricultural productivity and support Smart Village development through training and implementation of Internet of Things (IoT) and renewable energy technologies. The activities included participatory needs assessment, installation of an IoT-based automatic misting system in mushroom houses, deployment of solar-powered lighting systems for the village sports field, and training on Content Management System (CMS)-based website management involving mushroom farmers, village administrators, and university students participating in the Community Service Program (KKN). Functional testing showed that the IoT-based misting system achieved 100% operational performance, while training activities involved seven mushroom farmers with more than 50% of participants demonstrating adequate understanding of system operation and digital platform utilization. In addition, the installation of solar-powered lighting improved the accessibility of village sports facilities at night. These results demonstrate that integrating IoT and renewable energy technologies effectively supports Smart Village development and strengthens sustainable community-based innovation in rural areas.
Co-Authors Afit Miranto Arif Rohman Atmajaya, Gde KM Atmojo, Aulia Aulia, Rizqi Doni Bowo Nugroho, Doni Bowo Eko Satria Ilyas Irwansyah Fauzi, Adam Kahar Aziz, Muhammad Reza Miristika Alliyu Nurhayati, Misfallah Prasetyawan, Purwono Triyani, Retno Ulin Nuha, Muhammad Yunesti, Putty