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ANALISIS TINGKAT KERAWANAN BANJIR MENGGUNAKAN SISTEM INFORMASI GEOGRAFI DI SUB DAS TOILI KABUPATEN BANGGAI Muhammad Adam Suni; Melia Nurulaeni; Agung Dwi Kurniawan
Nusantara Hasana Journal Vol. 2 No. 9 (2023): Nusantara Hasana Journal, February 2023
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The geographic information system is an information system about collecting and processing data and conveying information in spatial coordinates, where data collected remotely can be analyzed to obtain information about objects, areas, or phenomena. The purpose of this study was to map the level of flood susceptibility in the Toili sub-watershed using spatial analysis based on Geographic Information Systems (GIS) with scoring and overlay. The research parameters consisted of rainfall, elevation, slope, soil type, land cover/use and distance from the river. This research was conducted in the Toili Sub-watershed, Toili District, Banggai Regency because this area experiences flooding every year. The results showed that the level of flood vulnerability was divided into 5 (five) categories, namely not vulnerable, moderately vulnerable, moderately vulnerable, vulnerable and very vulnerable areas that are very prone to flooding are around the river with an area of ​​408 Ha (3,81%), vulnerable category 3.807,67 Ha (35,58%), slightly vulnerable 6.481,19 Ha (60,57%), moderately vulnerable 0,96 Ha (0,01%), and not vulnerable 2,64 Ha (0,02%). Areas that are in the prone to very flood-prone zone are areas that are at low altitudes and most of the land use is open land without vegetation and close to rivers.
ANALISIS PERUBAHAN TUTUPAN LAHAN DI SUB DAS TOILI KABUPATEN BANGGAI Muhammad Adam Suni; Syukur Asa; Fahrul Himalaya Umar; Rhamdhani Fitrah Baharuddin
Nusantara Hasana Journal Vol. 2 No. 10 (2023): Nusantara Hasana Journal, March 2023
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v2i10.776

Abstract

Land conversion or land cover cange is a change in the function of part or all of a land area from its original function (according to plan) to another function that causes negative impacts (problems) on the environment and the potential of the land itself. The research aims to analyze changes in land cover over a period of ten years with Landsat 8 imagery in 2013 and 2022 and to analyze changes in land cover in the Toili sub-basin, Banggai Regency. This study uses guided image analysis (supervised). Land cover classes in the Toili sub-watershed are divided into 9 (nine) land cover classes, namely, secondary dryland forest, settlements, plantations, dryland agriculture, paddy fields, shrubs, open land, bodies of water, and clouds. From the test of accuracy or precision of the results of loss of satellite imagery with the guided classification method (Supervised) has an accuracy level of 88.54%. The results of the analysis show that the largest increase in area is in the plantation class while the largest decrease in area is in the dry land farming class, this is the impact of activities carried out by the local community.
ANALISIS DAN PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DI HUTAN PRODUKSI TERBATAS KECAMATAN KULAWI KABUPATEN SIGI Muhammad Adam Suni; Hasriani Muis; Ida Arianingsih; Misra Misra; Rhamdhani Fitrah Baharuddin
Jurnal Tanah dan Sumberdaya Lahan Vol. 10 No. 2 (2023)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2023.010.2.11

Abstract

Land conversion is a change in the function of a part or whole land area of its original function (as planned) into another function that becomes a negative impact (problem) on the environment and potential land itself. The study aims to analyze changes in land cover over five years with the image of Landsats 8 of 2016 and 2021 as well as analyze the factors of the cause of changes in land cover in the Limited Production Forest Area in Kulawi Subdistrict. The study used guided image analysis (supervised) and binary logistics regression analysis. The formation of spatial models of forest cover changes in the Kulawi Subdistrict Limited Production Forest Area using 5 modifier factors consisting of accessibility aspects i.e., settlement, population density, river, slope, road. Logit (p)=-0.24087+0.04249(x1)+0.2815(x2)-0.42492(x3)-0,.0480(x4)+0.04010(x5). The results of binary logistic regression analysis showed goodness of fit value of 5471996.86 chi-square values of 60287.17 and pseudo r2 of 0.30 greater than 0.2, indicating the model is worth using. Based on the results of binary logistics regression analysis, it is known that distance from roads, distance from settlement and population density are influential to changes in forest land cover.
FLY HIGH WITH SETMA : PELATIHAN PENGGUNAAN UAV DALAM MEWUJUDKAN MAHASISWA YANG BERKOMPETENSI DI ERA REVOLUSI INDUSTRI 4.0 Amati Eltriman Hulu; Yudya Kurnia Sari; Nopriamal Gisdaronli Amrin; Zaenab Bidala; Muliyadi Lemba; Amir Lareke; Muhammad Adam Suni; Naharuddin Naharuddin; Rhamdhani Fitrah Baharuddin; Rizky Purnama
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 4 (2023): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i4.16209

Abstract

Abstrak: 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.
Spatial Analysis of Water Infiltration Potential in the Miu Watershed of Sigi Regency Amati Eltriman Hulu; Hasriani Muis; Sudirman Daeng Massiri; Naharuddin Naharuddin; Bau Toknok; Hendra Pribadi; Abdul Rahman; Arman Maiwa; Rhamdhani Fitrah Baharuddin; Muhammad Adam Suni; Nurul Istiqamah
Advance Sustainable Science Engineering and Technology Vol 5, No 2 (2023): May-July
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i2.16626

Abstract

Abstract. The sustainable management of the Miu watershed Basin is something that needs to be considered in line with the increasing complexity of environmental sustainability challenges and current water availability, not limited to maintaining the flow of water but need to pay attention to the balance of the ecosystem. Ecosystem conditions that are maintained influence high water absorption capacity, thereby reducing surface water runoff.. This research was conducted in the Miu watershed Basin with the aim of identifying the potential for water absorption, the method used in this study was a scoring method with four parameters, namely soil type, slope, rainfall, and land use. Data analysis was carried out using a Geographic Information System (GIS) approach. The results showed that the water absorption conditions in the Miu watershed Basin were classified as good (8.29%), normal good (73.91%), starting to be critical (14.51%), moderately critical (3.29%), and critical ( 0.00%).
Pemanfaatan ArcGIS Story Maps Sebagai Media Informasi dan Penyuluhan COVID-19 di Kota Palu: Utilization of ArcGIS Story Maps as a Media for Information and Counseling on COVID-19 in Palu City Muhammad Adam Suni; Alifia Nurmawarni Suni
Vivabio: Jurnal Pengabdian Multidisiplin Vol. 5 No. 3 (2023): VIVABIO: Jurnal Pengabdian Multidisiplin
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/vivabio.v5i3.50069

Abstract

The Corona Virus (COVID-19) pandemic continues to increase, the transmission, spread, and death rates are getting higher so the government implements large-scale social restrictions on people's activities in Indonesia. This high transmission can be caused by poor community behavior towards prevention programs that have been informed by the Government, therefore it is necessary to carry out dissemination and counseling related to COVID-19 to increase public knowledge in prevention and transmission to minimize the spread of COVID-19. Since April 2020, Covid-19 has been confirmed to have spread in 34 provinces in Indonesia. So that various regulations were issued to reduce the level of spread of COVID-19 starting from wearing masks, washing hands, keeping a distance, staying away from crowds and reducing mobility, large-scale social restrictions, imposing restrictions on community activities, vaccination programs in doses 1-3, and finally the health protocol for the transition period. Technological developments have encouraged the delivery of information to be more interactive. One of the uses of technology is the delivery of spatial information through ArcGIS Story Maps. ArcGIS Story maps are a way to visualize maps and nonspatial data in advanced web applications. The results of using Story maps are in the form of presenting information and counseling media in the form of interactive maps that contain an overview of COVID-19, case conditions, distribution levels based on urban villages, and how to handle them to related rules through the Story map feature Keywords:  COVID-19; Arcgis Online; Story Maps; Corona Virus ABSTRAK 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. Sejak April 2020 Covid-19 telah terkonfirmasi menyebar di 34 provinsi di Indonesia. Sehingga terbitnya berbagai aturan guna menekan tingkat sebaran COVID-19 mulai dari menggunakan masker, mencuci tangan, menjaga jarak, menjauhi kerumunan dan mengurangi mobilitas, pembatasan sosial berskala besar, pemberlakuan pembatasan kegiatan masyarakat, program vaksinasi dosis 1-3, dan terakhir protocol kesehatan masa transisi. 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. Hasil penggunaan Story maps berupa penyajian informasi dan media penyuluhan dalam bentuk peta interaktif yang berisi tentang gambaran umum COVID-19, kondisi kasus, tingkat sebaran berdasarkan kelurahan dan cara penanganan hingga aturan terkait melalui fitur Story map.
Identification of Land Use Classes Using Sentinel 2A Imagery in Laloeha Village, Kolaka District: Identification of Land Use Classes Using Sentinel 2A Imagery in Laloeha Village, Kolaka District Ramad Arya Fitra; Muhammad Adam Suni
MULTIPLE: Journal of Global and Multidisciplinary Vol. 1 No. 3 (2023)
Publisher : Institute of Educational, Research, and Community Service

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Abstract

Land use in Laloeha Village Kolaka District continues to change. Mapping and identifying land cover types using the Maximum Likelihood method is more accurate than other methods. This research aims to analyze the capabilities of Sentinel 2A Imagery and the Maximum Likelihood classification method for mapping and identifying land use types in Laloeha Village in Kolaka District. This research was carried out from July to September 2023 and was carried out in 4 stages, namely the first stage of image pre-processing by carrying out the layer stacking process. The second stage is image analysis and classification. The third stage is carrying out a ground check, and the fourth stage is validation and accuracy testing. The value of the accuracy test results with Overall Accuracy (OA) is 88.75% which is in the good category. The results of the land cover classification obtained 7 land cover classes, namely land use is the plantation class covering an area of 827.91 ha or 37.76%, the secondary dry land forest class covering an area of 557.83 Ha or 25.44%, the shrub class covering an area of 323.40 or 14.75%, the agricultural class covering an area of 277, 46 Ha or 12.65%, the residential class is 174.27 Ha or 7.95%, the open land class is 19.83 Ha or 0.90% and the water body is 11.92 Ha or 0.54% of the area of Laloeha Village, Kolaka District
Innovative Strategies for Restoration of Degraded Ecosystems: A Case Study of Abandoned Agricultural Land and Abandoned Mining Land Recovery in West Java Province Muhammad Adam Suni; Busranuddin Daeng Masserang; Agung Dwi Kurniawan; Mohamad Fahrul Himalaya Umar; Yohanis Toding
West Science Nature and Technology Vol. 1 No. 01 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i01.224

Abstract

Ecosystem degradation and land abandonment are pressing global environmental challenges, with significant ecological, social, and economic consequences. In the context of West Java Province, Indonesia, the degradation of abandoned agricultural and mining lands has been a particularly pronounced issue. This study explored innovative strategies for the restoration of these degraded ecosystems, focusing on the recovery of abandoned agricultural and mining lands in West Java. The research employed a mixed-methods approach, combining quantitative and qualitative data collection methods. Key findings revealed a range of innovative strategies, including natural regeneration, agroforestry, phytoremediation, and soil improvement techniques, being used to restore abandoned lands. Challenges such as slow ecological recovery, community conflicts, and technical hurdles were also identified. Despite these challenges, the restoration efforts have yielded positive ecological, social, and economic outcomes, including increased biodiversity, improved soil quality, enhanced community livelihoods, and economic benefits. This study provides valuable insights into the complex process of ecosystem restoration in West Java Province and offers recommendations for policymakers, landowners, and conservation practitioners. The findings underscore the importance of community engagement, sustainable land management practices, and ongoing monitoring and research to support the long-term success of ecosystem restoration initiatives.
Land Cover Classification Using Sentinel 2A Image in Kolaka Subdistrict, Kolaka Regency, Southeast Sulawesi Suni, Muhammad Adam; Fitra, Ramad Arya; Umar, Mohamad Fahrul Himalaya
Jurnal Riset Multidisiplin dan Inovasi Teknologi Том 1 № 02 (2023): Jurnal Riset Multidisiplin dan Inovasi Teknologi
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jimat.v1i02.267

Abstract

Land cover in Kolaka District continues to change. Mapping and identifying land cover types using the Maximum Likelihood method is more accurate than other methods. This research aims to analyze the capabilities of Sentinel 2A Imagery and the Maximum Likelihood classification method for mapping and identifying land cover types in Kolaka District. This research was carried out from July to September 2023 and was carried out in 4 stages, namely the first stage of image pre-processing by carrying out the layer stacking process. The second stage is image analysis and classification. The third stage is carrying out a Ground Check, and the fourth stage is validation and accuracy testing. The value of the accuracy test results with Overall Accuracy (OA) is 88.75% which is in the good category. The results of the land cover classification obtained 8 land cover classes, namely secondary dry land forest covering an area of 3974.20 Ha or 31.84%, plantation land cover covering an area of 3,886.87 Ha or 31.14%, dense bushes covering an area of 1,641.42 Ha or 13.15%, mixed dry land agricultural land cover covering an area of 1,415.62 Ha or 11.34%, residential land cover of 744.26 or 5.96%, paddy field cover of 613.53 Ha or 4.92%, open land cover of 148.66 Ha or 1.19% and water body land cover of 56.22 Ha or 0.45% of the total area of Kolaka District.
Identification of Landslide Susceptibility Level in Buffer Village Lore Lindu National Park Using Scoring Method Suni, Muhammad Adam; Mappatoba, Cesar Andi; Basoka, Muhammad Darmawan
International Journal of Multidisciplinary Approach Research and Science Том 1 № 02 (2023): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v1i02.96

Abstract

A landslide is a form of natural phenomenon that often occurs in mountainous and hilly regions with steep up to very steep slopes. Landslides are one of the most dangerous natural hazards and occur frequently in many hilly or mountainous areas, often occurring without warning and causing loss of life and property, marked with movement material of slope-forming materials in the form of rocks, soil, or materials down the slope. This study aimed to identify the distribution of landslide-prone areas in 86 buffer villages in Lore Lindu National Park, Central Sulawesi Province using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of land cover/use, rainfall, elevation, slope, soil type, lithology, and distance from the fault. Identification of vulnerability factors for susceptibility level was determined according to 7 parameters used in the analysis. The results showed that the level of landslide susceptibility in the study area was divided into 3 classes, namely low (85.679,74 ha), moderate (363.184,89 ha), and high (26.888,46 ha). Villages that have a high level of vulnerability are Lempelero, Runde, Sedoa, Tuare, and Tongoa.