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Implementation of ArcGIS story maps as a media information and counseling of COVID-19 in palu city Suni, Muhammad Adam; Muis, Hasriani
Journal of Soft Computing Exploration Vol. 4 No. 4 (2023): December 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i4.194

Abstract

The 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 pandemic
PEMETAAN PENGGUNAAN LAHAN DI KOTA PALU MENGGUNAKAN CITRA SENTINEL 2-A Suni, Muhammad Adam; Borman, Andre Kurniawan; Himalaya Umar, Mohammad Fahrul; Agung Dwi Kurniawan
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 1 No. 4 (2023): Agustus
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v1i4.69

Abstract

Pembuatan peta dalam pengabdian masyarakat ini dilatarbelakangi kebutuhan data akan luas areal penggunaan lahan oleh berbagai pihak baik dari instansi pemerintah, kebutuhan penelitian dan pendidikan, maupun instansi non pemerintah. Kebutuhan data ini cukup tinggi sementara ketersediaan data terbatas dan tidak ada pembaharuan data setiap tahun. Sementara perubahan luasan areal penggunaan sangat dinamis. Untuk mengetahui luas areal penggunaan lahan secara efektif dan efisien, dapat dilakukan pemetaan dengan menggunakan penginderaan jauh. Tujuan pengabdian Masyarakat ini adalah untuk mengetahui luas dan kelas penggunaan lahan di Kota Palu. Pengabdian ini merupakan penelitian secara deskriptif. Luas penggunaan lahan didapatkan melalui penginderaan jauh dengan metode digitasi visualisasi (on screen) menggunakan citra sentinel 2-A dan survey langsung dilapangan. Kombinasi band yang digunakan pada citra sentinel 2-A adalah kombinasi band 4-3-2. Hasil pengabdian masyarakat menunjukkan bahwa terdapat  12 (dua belas) kelas penggunaan lahan di Kota Palu yang didominasi oleh kelas tutupan lahan semak belukar 14.185,91 Ha (37,36%), hutan 6.669,53 Ha (17,57%) dan pemukiman6.431,04 Ha (16,94%).  Kata Kunci : Pemetaan, Citra Sentinel 2A, Sistem Informasi Geografis
MODELING OF LANDSLIDE SUSCEPTIBILITY IN THE CORE ZONE OF THE LORE LINDU BIOSPHERE RESERVE USING GIS Suni, Muhammad Adam; Basoka, Muhammad Darmawan; Maarif, Fadjri; Mappatoba, Cesar Andi
Jurnal Belantara Vol 8 No 1 (2025)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v8i1.1029

Abstract

Landslide 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 Suni, Muhammad Adam; Maarif, Fadjri; Basoka, Muhammad Darmawan; Rafiq, Muhammad; Baharuddin, Rhamdhani Fitrah
MAKILA Vol 19 No 1 (2025): MAKILA: Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i1.17651

Abstract

Land 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.
Sosialisasi Pemanfaatan ArcGIS Story Maps Sebagai Media Informasi dan Penyuluhan di masa Pandemi COVID-19 Suni, Muhammad Adam; Suni, Alifia Nurmawarni
Jurnal Masyarakat Madani Indonesia Vol. 2 No. 3 (2023): Agustus
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/js.v2i3.111

Abstract

Pandemi Corona Virus (COVID-19) terus meningkat, angka penularan, penyebaran, dan kematian yang semakin tinggi sehingga pemerintah menerapkan pembatasan sosial berskala besar pada aktivitas masyarakat di Indonesia. Penularan yang tinggi ini bisa disebabkan oleh perilaku masyarakat yang kurang baik terhadap program pencegahan yang sudah di informasikan oleh Pemerintah, oleh sebab itu perlu dilakukannya penyebaran dan penyuluhan terkait COVID-19 untuk meningkatkan pengetahuan masyarakat dalam pencegahan dan penularan agar bisa meminimalisir penyebaran COVID-19. Perkembangan teknologi telah mendorong penyampaian informasi menjadi lebih interaktif. Salah satu pemanfaatan teknologi adalah penyampaian informasi spasial melalui ArcGIS Story Maps. ArcGIS Story maps merupakan cara untuk memvisualisasikan peta dan data nonspasial pada aplikasi web tingkat lanjut. Kegiatan ini dilakukan dengan sosialisasi secara tidak langsung dengan penyajian sarana media informasi dan penyuluhan menggunakan Story maps. Hasil pengabdian ini menunjukkan bahwa media yang berisi peta interaktif tentang gambaran umum COVID-19, kondisi kasus, tingkat sebaran kasus dan cara penanganan hingga aturan terkait dengan memanfaatkan fitur Story maps dapat digunakan sebagai sarana dalam penyajian informasi dan penyuluhan di masa pandemi dan dapat membantu instansi terkait dalam melakukan sosialisasi secara tidak langsung dan percepatan penyebaran informasi ke masyarakat