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Pemutakhiran Peta Foto Udara Desa Girimulyo untuk Mendukung Pengembangan Desa Agroforestri Berbasis Informasi Geospasial Ilyas, Ilyas; Isnaini, Een Lujainatul; Nuha, Muhammad Ulin; Perdana, Agung Mahadi Putra; Nurhayati, Misfallah
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 1 (2024): Maret
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i1.774

Abstract

Dalam upaya mendukung pengembangan program Desa Agroforestri berbasis Informasi Geospasial di Desa Girimulyo, penting akan adanya data dan informasi yang berbasis geospasial. Masih kurangnya ketersediaan data dan informasi menjadi salah satu kendala terbentuknya program tersebut. Oleh karena itu kegiatan tersebut akan memerlukan data dan informasi spasial sebagai data utama dalam pengambangan program agroforestri dengan mengangkat bibit unggulan lokal yaitu Alpukat Siger. Pemanfaatan teknologi fotogrametri menjadi salah satu solusi yang tepat mengingat proses pemotretan wilayah dapat dilakukan dengan ketelitian yang tinggi (resolusi spasial tinggi). Meski sebelumnya sudah pernah dilakukan pemotretan foto udara wilayah Desa Girimulyo, tetapi masih ada sebagian kecil dari wilayah keseluruhan yang belum dilakukan pemotretan. Sebagai desa binaan dari Program Studi Geomatika ITERA, tim pengabdian akan membantu menyediakan data berupa peta foto udara yang sebelumnya masih terbatas hanya beberapa dusun. Hasil dari kegiatan ini berupa peta foto udara Desa Girimulyo yang dapat digunakan sebagai Informasi Geospasial Dasar (IGD) untuk mendukung kegiatan apapun, khususnya pengembangan program desa agroforestri.
Pengembangan Lampu Jalan Otomatis Berbasis Sensor Cahaya Sebagai Infrastruktur Cerdas di Desa Sukajadi Lampung Bindar, Muhammad Abdul Mubdi; Nurhayati, Misfallah; Ashari, Ilham Firman; Tanjung, Adinda Sekar; Agustine, Verlina
Jurnal Ilmiah Pangabdhi Vol 11, No 1: April, 2025
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pangabdhi.v11i1.29471

Abstract

Insufficient street lighting in Sukajadi Village, Central Lampung, increases accident risks and hinders economic activity. This research developed an automatic solar-powered Public Street Lighting (PJU) system using a Light Dependent Resistor (LDR) sensor. Stages included survey, design, assembly, testing, installation, socialization, and monitoring. Consequently, an automatic street light was successfully installed at the Sukajadi-Wates Village border, operating automatically with an LDR sensor and solar power. Success was marked by improved lighting, renewable energy use, proper technology function, and community satisfaction. Further development and routine maintenance are recommended for this smart infrastructure's sustainability.
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.
Refining the Indonesian Geoid Model: A Comparative Study of Global Geopotential Models in East Kalimantan Alvito, Fahri Dean; Nadzir, Zulfikar Adlan; Nurhayati, Misfallah
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.3068

Abstract

Gravity field along with its derivative, geoid, is one of the important pillars of Geodesy. The geoid is utilized in many countries as the vertical reference system, Indonesia as well. However, Indonesia is unique in topography, made the computation of geoid model throughout the archipelago a challenge. The development of geoid model in Indonesia has 4 phases, with the latest in 2020 and 2023. INAGEOID2020 is the Indonesian geoid model used as vertical reference frame for vertical control in Indonesia, updated to version 2.0 in 2023. However, it has not achieved the target accuracy of 5 cm throughout the country. INAGEOID2020 v2.0 is based on the EGM2008 global geopotential model (GGM) with order and degree 360, which is now nearly 20 years old. The implementation of EGM2008 into the regional model also lacked a fitting process, relying solely on functional calculations. This study proposes using modern GGMs, namely EGM2008, XGM2019e, and SGG-UGM-2, along with a fitting process to improve geoid modeling, to optimize the future iteration of Indonesian Geoid Model. The research compares the gravimetric undulations of these models to geometric undulations at 264 validation points, both with and without fitting in East Kalimantan. The fitting improved the accuracy of EGM2008 and XGM2019e, but SGG-UGM-2 performed worse due to elevation discrepancies both before and after the fitting, mainly due to difference on the starting point close to the coast. XGM2019e at degree 2190, truncated to 720 and 360 showed the best results after the fitting, achieving standard deviation and root mean square error (RMSE) values of 0.061 m and 0.064 m, respectively. The performance of EGM2008 is not far behind XGM2019e. This finding indicates that the XGM2019e is the best out the trio, making it a promising alternative to be utilized for future geoid modeling in Indonesia.