8 research outputs found
Implementation of ArcGIS story maps as a media information and counseling of COVID-19 in palu city
No full textThe COVID-19 pandemic continues to increase, transmission, spread, and death rates are increasing, resulting in the implementation of large-scale social restrictions on community activities in Indonesia. This high rate of transmission can be caused by poor public behavior towards prevention programs that have been announced by the Government. In order to increase public knowledge in prevention and communication and minimize the spread of COVID-19, socialization and outreach media are needed that can encourage more effective delivery and dissemination of information. Technological developments encourage the delivery of information to become more interactive. One use of technology is delivering information with spatial integration through ArcGIS Story Maps. Story Maps can be handy for spreading knowledge on several topics, focusing on where the story occurs. In this paper, we explore the opportunities offered by Story Maps to implement Story Maps as an outreach media and a solution for socializing and disseminating information during the pandemic. Specifically, we refer to a series of different applications offered by Esri for building Story Maps based on different approaches and techniques. The results of using Story Maps are in the form of presenting information, information media, and counseling in the form of an interactive map which contains a general description of COVID-19, case conditions, level of spread, and how to handle it and related regulations through the Story Maps feature. This story map involves geospatial elements, web GIS, text, images, and video so that it can be an alternative solution for related parties in socializing and disseminating information during the pandemi
PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN HUTAN PRODUKSI TERBATAS DI KECAMATAN KULAWI KABUPATEN SIGI PROVINSI SULAWESI TENGAH
No full textDeforestasi adalah salah satu penyebab utama kerusakan lingkungan dan dapat disebabkan faktor manusia serta dapat menyebabkan terjadinya perubahan iklim yaitu kekeringan berkepanjangan dan distribusi curah hujan yang tidak memadai tidak teratur dan tidak rata. Penelitian ini bertujuan untuk menganalisis perubahan tutupan lahan dalam kurun waktu lima tahun dengan citra Landsat 8 tahun 2015 dan 2020 serta menganalisis faktor-faktor penyebab perubahan tutupan lahan pada Kawasan Hutan Produksi Terbatas di Kecamatan Kulawi. Penelitian menggunakan analisis citra terbimbing (supervised) dan analisis regresi logistik biner. Pembentukan model spasial perubahan tutupan hutan di Kawasan Hutan Produksi Terbatas Kecamatan Kulawi menggunakan 5 faktor peubah yang terdiri dari aspek aksesibilitas yaitu permukiman, kepadatan penduduk, sungai, kemiringan lereng, dan jalan. Logit Logit (p) = -0,24179 + 0,03247 (x1) + 0,01617 (x2) - 0,43271 (x3) - 0,31261 (x4) + 0,03350 (x5). Model yang dipilih adalah yang memiliki nilai goodness of fit dan nilai chi square terbesar. Hasil analisis regresi logistik biner menunjukkan nilai goodness of fit sebesar 5745198,85, nilai chi square sebesar 62749,78 dan pseudo r2 sebesar 0,30 lebih besar dari 0,20 yang menandakan model layak digunakan. Berdasarkan hasil analisis regresi logistik biner diketahui bahwa jarak dari jalan, jarak dari pemukiman, kepadatan penduduk berpengaruh terhadap perubahan tutupan lahan hutan dengan nilai positif dan jarak dari sungai, kemiringan lereng berpengaruh terhadap perubahan tutupan lahan hutan dengan nilai negatif
MODELING OF LANDSLIDE SUSCEPTIBILITY IN THE CORE ZONE OF THE LORE LINDU BIOSPHERE RESERVE USING GIS
No full textLandslide is a very dangerous natural disaster and often occurs in many hilly or mountainous areas, it often occurs without warning and causes loss of life and property, marked by the displacement of slope-forming material in the form of rocks, soil, or material down the slope. This study aims to model landslide-prone areas in the core zone of the Lore Lindu biosphere reserve in Central Sulawesi Province using the overlay method with a score between 6 parameters. The research parameters included land cover/use, rainfall, elevation, slope, soil type, and lithology. The weighting analysis produces three variables that determine the level of landslide vulnerability: slope, land use, and rainfall. The results showed that the level of vulnerability to landslides in the study area was divided into 4 classes, namely 17.482,15 ha (8,10%) non-prone areas, 98.372,96 ha (45,60%) low vulnerability areas, 98.032,51 ha (45,45%). moderate hazard area, and 1.832,04 ha (0,85%) high hazard area. In high vulnerability zones small or large-scale landslides often occur due to high rainfall and steep to very steep slopes, the rock forms in the form of sediment. Vegetation conditions are generally lacking. The areas included in this class are the villages of Bulili, Lawua, Sedoa, Katu, and Karunia
Land Cover Classification Using Sentinel 2A Image in Lore Lindu National Park Area, Central Sulawesi
No full textLand cover within Lore Lindu National Park is undergoing a continuous transformation driven by both natural processes and anthropogenic pressures. Accurate mapping and classification of land cover types are critical for informed conservation planning and sustainable ecosystem management. This study aims to assess the effectiveness of Sentinel-2A satellite imagery combined with the supervised Maximum Likelihood Classification (MLC) method in delineating land cover types within the Lore Lindu National Park, Central Sulawesi. The research was conducted from August to December 2023 and involved four primary stages: image pre-processing through layer stacking, land cover classification, field verification (ground truthing), and accuracy assessment. The classification results yielded an Overall Accuracy (OA) of 83.75%, indicating a high level of reliability. A total of fifteen distinct land cover classes were identified, with secondary dryland forest occupying the most significant proportion of the area (approximately 80.60%), followed by primary dryland forest, plantation areas, and smaller fractions of rice fields, mining zones, and water bodies. These findings underscore the utility of Sentinel-2A imagery, in conjunction with the Maximum Likelihood algorithm, as a dependable tool for land cover mapping in tropical protected environments. The results provide a valuable spatial basis for developing targeted conservation strategies and enhance the understanding of landscape dynamics within the park
Spatial Analysis of Changes in Normalization Differences Vegetation Index in Protected Forest Areas of South Lore District, Poso Regency
No full textDetection of changes in vegetation density generally uses the vegetation index parameter. The value of the vegetation index can provide information on the proportion of vegetation cover, live plant index, plant biomass, cooling capacity, and estimation of carbon dioxide absorption. This study aims to analyze changes in the level of vegetation density using Sentinel 2-A imagery in the protected forest area of South Lore District. This study used the method of calculating the Normalized Difference Vegetation Index (NDVI) to identify changes in density over 5 years. The results of the NDVI analysis are the largest in the range of -0.92960 to 0.871725. The vegetation density class in the Protected Forest Area of South Lore District in 2017 is in the dense class with an area of 15,322.24 Ha or around 47.66%, while the smallest in the non-vegetation class, which is 103.11 Ha or 0.32%, while the largest vegetation density class is in the Protected Forest Area of South Lore District in 2022, namely in the medium/quite dense class with an area of 19,948.18 Ha or 62.01% while the smallest in the non-vegetation class of 219.17 Ha or 0.68%. The largest increase in area was in the moderate/quite dense class of 4,892.33 Ha or 15.20% while the largest decrease in area was in the dense class with an area of 6,651.16 Ha or 20.67% of the total area of the Protected Forest Area of South Lore District
Flood vulnerability analysis using geographic information system in the core zone of the Lore Lindu biosphere reserve, Indonesia
No full textFloods are caused by the accumulation of several factors, such as global warming, climatological characteristics, hydrology, and physical conditions of an area. The purpose of this study was to map the level of flood vulnerability in the core zone of the Lore Lindu Biosphere Reserve using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of rainfall, elevation, slope, soil type, land cover, and distance from the river. This research was conducted in the core zone divided into 13 subdistricts and 2 regencies. The results of the classification of flood vulnerability levels are divided into 4 (four) categories: not prone, low vulnerability, moderate vulnerability, and high vulnerability. The results of the analysis show that the core zone of the Lore Lindu biosphere reserve is dominated by a non-hazardous site with an area of 145,018’28 ha (67.23%), a low vulnerability zone of 65,430.10 ha (30.33%), a moderate vulnerability zone of 5,025.29 ha (2.33%), and a high vulnerability zone of 245.99 ha (0.11). Areas with a high level of vulnerability are at low elevations with flat to gentle slopes. Most land use is dominated by water, mining, and open land without vegetation and is located around rivers
FLY HIGH WITH SETMA : PELATIHAN PENGGUNAAN UAV DALAM MEWUJUDKAN MAHASISWA YANG BERKOMPETENSI DI ERA REVOLUSI INDUSTRI 4.0
No full textAbstrak: Era Revolusi Industri 4.0 ditandai dengan adopsi teknologi digital yang semakin luas, termasuk dalam bidang pemetaan dan survei. Dalam era ini, mahasiswa dituntut untuk memiliki keterampilan yang relevan dengan perkembangan teknologi, termasuk penggunaan UAV (Unmanned Aerial Vehicle) atau drone sebagai alat pemetaan yang efektif. Untuk mempersiapkan mahasiswa dengan keterampilan yang relevan untuk menghadapi tuntutan era Revolusi Industri 4.0. Mahasiswa harus memiliki pemahaman tentang teknologi UAV, pengoperasian, pemrosesan data, dan aplikasi pemetaan yang relevan. Tujuan dari pelaksanaan program ini yaitu untuk meningkatkan kompetensi mahasiswa program studi kehutanan dalam menggunakan dan mengolah data hasil foto udara serta memberikan mahasiswa landasan yang kuat dan mempersiapkan mereka untuk menghadapi tantangan dan peluang yang ada di dunia kerja, pelaksanaan kegiatan ini dilaksankan dengan metode ceramah dan praktek secara langsung yang dilaksanakan selama dua hari bertempat di Fakultas Kehutanan Universitas Tadulako yang diikuti oleh Mahasiswa Fakultas Kehutanan dan Fakultas lain Universitas Tadulako. Selama pelatihan, peserta terlibat dalam sesi pelatihan dalam ruangan dan luar ruangan yang melibatkan pengoperasian UAV, pengumpulan data, dan pemrosesan data menggunakan perangkat lunak pemetaan. Pelaksanaan kegiatan ini berlangsung dengan baik serta mahasiswa memperoleh pengetahuan dan ketrampilan baru ditandai dengan hasil perbandingan pre-test dan post-test yang menunjukan hasil yang sangat signifikan dengan dengan rata-rata nilai pre-test sebesar 72,33 sedangkan rata-rata nilai post-test sebesar 92,33.Abstract: The era of the Industrial Revolution 4.0 was marked by the wider adoption of digital technology, including in the fields of mapping and surveying. In this era, students are required to have skills relevant to technological developments, including the use of UAV (Unmanned Aerial Vehicle) or drones as an effective mapping tool. To prepare students with relevant skills to face the demands of the Industrial Revolution 4.0 era. Students must have an understanding of relevant UAV technology, operation, data processing, and mapping applications. The purpose of implementing this program is to increase the competence of forestry study program students in using and processing aerial photo data and to provide students with a strong foundation and prepare them to face the challenges and opportunities that exist in the world of work, the implementation of this activity was carried out using the lecture method and direct practice which was carried out for two days at the Faculty of Forestry, Tadulako University which was attended by students from the Faculty of Forestry and other Faculties of Tadulako University. During the training participants engage in indoor and outdoor training sessions involving UAV operation, data collection and data processing using mapping software. The implementation of this activity went well and students acquired new knowledge and skills as indicated by the results of the pre-test and post-test comparison which showed very significant results with an average pre-test score of 72.33 while the average post-test score test of 92.33
