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Kajian Ruang Terbuka Hijau Kampus Universitas Muhammadiyah Gorontalo Menggunakan Foto Udara Drone Koto, Arthur Gani; Taslim, Ivan
Media Komunikasi Geografi Vol 19, No 2 (2018)
Publisher : Universitas Pendidikan Ganesha

Universitas Muhammadiyah Gorontalo (UMGo) yang berdiri sejak tahun 2008 merupakan salah satu Amal Usaha Muhammadiyah (AUM) yang salah satu tujuannya adalah untuk pengembangan dan pendidikan generasi muda Indonesia. Kelengkapan sarana dan prasarana perkuliahan merupakan suatu hal yang harus dipenuhi demi terciptanya proses pendidikan dan keberlanjutannya. Ketersediaan kebutuhan Ruang Terbuka Hijau (RTH) di Kampus UMGo sangat dibutuhkan bagi sivitas akademik UMGo karena fungsi dan peranannya sebagai paru-paru kampus dan dapat meminimalisir perubahan iklim serta memberikan kontribusi positif bagi AUM lainnya. Tujuan penelitian ini adalah untuk mengkaji ketersediaan RTH Kampus UMGo menggunakan foto udara drone. Metode penelitian menggunakan metode deskriptif kuantitatif menggunakan citra foto udara yang direkam menggunakan drone kemudian dianalisis dengan teknologi Sistem Informasi Geografis (SIG). Hasil penelitian menunjukkan bahwa ketersedian RTH di Kampus UMGo telah memenuhi syarat yang ditetapkan Undang-Undang No. 26 tahun 2007 tentang Penataan Ruang.

GEOGRAFIS KAWASAN EKOWISATA PRPM “TRACKING MANGROVE IN LOVE” Koto, Arthur Gani; Taslim, Ivan; Indrianti, Merita Ayu
Jurnal Spasial Vol 7, No 3 (2020)
Publisher : Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v7i3.4274

One of the coastal areas including the mangrove forest, storing great potential to be used sustainably in addition to its function also as a carbon stock storage. Mangrove forests become one of the attractions to be used as an ecotourism area accompanied by local cultural concepts. This study aims to geographically analyze the "Tracking Mangrove in Love" (TMiL) Langge Village, North Gorontalo District. Mangrove Restoration and Learning Center (PRPM) Center. The research method used is terrestrial observation, observation and analysis of multitemporal google earth imagery (2003-2018). The DJI Phantom 4 unmanned vehicle that serves to photograph the TMiL ecotourism area was used as a tool in this study. The multitemporal Google Earth Imagery (2003-2018) functions to observe changes in mangrove forest land cover before and after PRPM TMiL is opened to the public. Drones that are flown on autopilot are operated using an android smartphone that has the Pix4D Capture application installed. Aerial photographs produced from drone recordings are then processed into orthomosaic using Pix4Dmapper Pro software. Orthomosaic data is then used for current land use analysis and compared with multitemporal data from Google Earth imagery. The environment around the ecotourism area was also observed, such as conditions, human activities, and current land use. The results showed that PRPM TMiL did not highlight its function as an ecotourism area as the understanding stated in Permendagri No.33 Year 2009.Kawasan pesisir yang salah satu termasuk didalamnya yaitu hutan mangrove, menyimpan potensi besar untuk dapat dimanfaatkan secara berkelanjutan selain fungsinya juga sebagai penyimpan stok karbon. Hutan mangrove menjadi salah satu daya tarik untuk dijadikan sebagai kawasan wisata yang disertai konsep budaya lokal. Penelitian ini bertujuan untuk menganalisis secara geografis Pusat Restorasi dan Pembelajaran Mangrove (PRPM) “Tracking Mangrove in Love” (TMiL) Desa Langge, Kabupaten Gorontalo Utara. Metode penelitian yang digunakan yaitu pengamatan secara terestrial, pengamatan dan analisis dari citra google earth multitemporal (2003-2018). Wahana tanpa awak DJI Phantom 4 yang berfungsi untuk memotret kawasan ekowisata TMiL digunakan sebagai alat dalam penelitian ini. Citra Google Earth multitemporal (2003-2018) berfungsi untuk mengamati perubahan tutupan lahan hutan mangrove sebelum dan sesudah PRPM TMiL dibuka untuk umum. Drone yang diterbangkan secara autopilot dioperasikan menggunakan smartphone android yang telah terinstal aplikasi Pix4D Capture. Foto udara yang dihasilkan dari perekaman drone kemudian diolah menjadi orthomosaic menggunakan perangkat lunak Pix4Dmapper Pro. Data orthomosaic selanjutnya digunakan untuk analisis kondisi PRPM TMiL terkini lalu dibandingkan dengan data multitemporal dari citra google earth. Dilakukan pula pengamatan lingkungan sekitar kawasan wisata seperti kondisi, aktivitas manusia, dan penggunaan lahan sekitarnya. Hasil penelitian menunjukkan bahwa PRPM TMiL tidak menonjolkan fungsinya sebagai kawasan ekowisata seperti pengertian yang tercantum dalam Permendagri No.33 Tahun 2009.

PEMETAAN WILAYAH LAHAN KERING MENGGUNAKAN DATA PENGINDERAAN JAUH Arthur Gani Koto
Akademika Vol 6, No 2 (2017): September
Publisher : LPPM Universitas Muhammadiyah Gorontalo

Dry land occupies the largest area (90%) and has a strategic position in agricultural development activities in Indonesia. The biggest potential of natural resources in the agricultural sector in the district was reached 40.26%. One of the data provider of effective and efficient in terms of development activities and development of the region is remote sensing data. The purpose of this study is to map the area of dry land with the help of remote sensing data. Landsat imagery 8 extracted to obtain land cover information which is then further processed to produce a land use classification is based on the knowledge based classification. Analyzed land use to obtain the map of dry land. The results showed that the District of Wonosari has an area of dry land scattered in all districts and has an area of 185. 733 km2. Dry land area consists of mixed farms (162.811,8 km2) and bare land (22.921,2 km2). Tanah kering menempati area terbesar (90%) dan memiliki posisi strategis dalam kegiatan pembangunan pertanian di Indonesia. Potensi sumber daya alam terbesar di sektor pertanian di kabupaten ini mencapai 40,26%. Salah satu penyedia data yang efektif dan efisien dalam hal kegiatan pengembangan dan pengembangan kawasan adalah data penginderaan jauh. Tujuan dari penelitian ini adalah untuk memetakan daerah lahan kering dengan bantuan data penginderaan jarak jauh. Citra landsat 8 diekstraksi untuk mendapatkan informasi tutupan lahan yang kemudian diproses lebih lanjut untuk menghasilkan klasifikasi penggunaan lahan berdasarkan klasifikasi berbasis pengetahuan. Menganalisis penggunaan lahan untuk mendapatkan peta lahan kering. Hasil penelitian menunjukkan bahwa Kabupaten Wonosari memiliki lahan kering yang tersebar di semua kecamatan dan memiliki luas wilayah 185. 733 km2. Luas lahan kering terdiri dari lahan pertanian campuran (162,811,8 km2) dan lahan kosong (22.921,2 km2).

PELATIHAN DASAR-DASAR PEMETAAN BAGI STAF DESA SE-KECAMATAN BOTUMOITO KAB. BOALEMO Arthur Gani Koto
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Publikasi Hasil-Hasil Penelitian dan Pengabdian Masyarakat
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.521 KB)

Effective and robust natural resource management requires accurate, integrated, and reliable geospatial information. Each village has the potential of both natural resources (SDA) such as land, water, climate, geographical environment, livestock, agriculture, mining, fisheries, and human resource potentials in the form of diverse cultures and interactions. The lack of reliable human resources, can lead to unstructured village databases, which may hamper development. In parallel, it is necessary to improve the skills and knowledge of human resources of the village apparatus in the introduction and training of mapping basics.The purpose of this devotion is twofold, namely to increase knowledge and skills in terms of mapping basics, and to create quality village apparatuses as geospatial information compilers. The method of execution is done two stages namely lecture and practice. At the end of the training, each participant gets the practice of basic mapping that has been taught from the beginning to digital map making. Evaluation results show that each participant has understood most of the material presented.Keywords: mapping, dulangeya, botumoito, gorontalo

Kajian Ruang Terbuka Hijau Kampus Universitas Muhammadiyah Gorontalo Menggunakan Foto Udara Drone Arthur Gani Koto; Ivan Taslim
Media Komunikasi Geografi Vol. 19 No. 2 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v19i2.14735

Universitas Muhammadiyah Gorontalo (UMGo) yang berdiri sejak tahun 2008 merupakan salah satu Amal Usaha Muhammadiyah (AUM) yang salah satu tujuannya adalah untuk pengembangan dan pendidikan generasi muda Indonesia. Kelengkapan sarana dan prasarana perkuliahan merupakan suatu hal yang harus dipenuhi demi terciptanya proses pendidikan dan keberlanjutannya. Ketersediaan kebutuhan Ruang Terbuka Hijau (RTH) di Kampus UMGo sangat dibutuhkan bagi sivitas akademik UMGo karena fungsi dan peranannya sebagai paru-paru kampus dan dapat meminimalisir perubahan iklim serta memberikan kontribusi positif bagi AUM lainnya. Tujuan penelitian ini adalah untuk mengkaji ketersediaan RTH Kampus UMGo menggunakan foto udara drone. Metode penelitian menggunakan metode deskriptif kuantitatif menggunakan citra foto udara yang direkam menggunakan drone kemudian dianalisis dengan teknologi Sistem Informasi Geografis (SIG). Hasil penelitian menunjukkan bahwa ketersedian RTH di Kampus UMGo telah memenuhi syarat yang ditetapkan Undang-Undang No. 26 tahun 2007 tentang Penataan Ruang.

Pelatihan Pemetaan Laboratorium Lapangan Terpadu UMGO (LLTUMGO) Dari Foto Udara Arthur Gani Koto; Suryadi Ilato
Empowerment: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2022): Maret 2022
Publisher : Pusat Riset Manajemen dan Publikasi Ilmiah Serta Pengembangan Sumber Daya Manusia Sinergi Cendikia

Problems in an area can be quickly handled and managed by providing geospatial information in maps form. The University of Muhammadiyah Gorontalo Integrated Field Laboratory (LLTUMGO) is one field of learning media for the UMGO academic community. As a field of learning of media, a map is needed so in the future, the spatial arrangement and planning can utilize optimally. LLTUMGO was initiated at the beginning of the even semester of 2020-2021. One of the problems that occur is the unavailability of the LLTUMGO map. The map is needed in context structuring and planning the development that will be carried out to make it look attractive. Therefore, an initial step is needed to organize LLTUMGO starting from a map. The objectives of this community service activity are: 1) introduce and train partners in drone operations, 2) introduce area recording techniques, and 3) create LLTUMGO maps. This activity lasts for 1 day. The implementation method used in achieving the above objectives is carried out by providing an explanation and introduction to drones, drone operations, and recording technique practices. The results of this service activity are: 1) partners understand how to operate drones, 2) partners understand area recording techniques, and 3) LLTUMGO maps from aerial photos. In general, it can be concluded that this activity went well of partners were quite enthusiastic in participating in it even though several obstacles occurred in the field. Some of these obstacle include partner disciplines that are not in sync with the material provided and the time is short. Partner disciplines come from study programs with various backgrounds such as agribusiness, animal husbandry, aquaculture, information systems, psychology, and PGSD.

ANALISIS KESESUAIAN PENGGUNAAN LAHAN BERDASARKAN ARAHAN FUNGSI KAWASAN DI DAERAH ALIRAN SUNGAI (DAS) ALO KABUPATEN GORONTALO (Analysis of The Suitability of Land Use Based on The Direction of The Function of The Area in Alo Basin in Gorontalo District) Ulfan R. Ake; Arthur Gani Koto; Ivan Taslim
Jurnal Sains Informasi Geografi Vol 1, No 1 (2018): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Abstract - Determination of the function of the area is very important in order to preserve and prevent environmental damage, so as to improve the safety, prosperity, and comfort of life. The occurrence of landslide in Gorontalo regency partly from alo watershed area in pulubala subdistrict and tibawa sub-district has destroyed 221 houses, 31 houses were badly damaged and 628 people were injured. In addition, the factors causing avalanches in the alo watershed are slope, soil type, high rainfall and community land use. This study aims to: (1) map the main function of the area in alo watershed based on the decree of the minister of agriculture no. 837 / kpts / um / 11/1980 (2) analyze the suitability of land use in the alo watershed based on the main function of the region and present it in the form map. Method and analysis used in this research is scoring, overlay, and field survey. Based on the result of alo river basin analysis, there are 4 directives of the area function. The function of protected area covers 93.09 ha (0.40%), buffer area 4970.74 ha (21.13), annual cultivation area 3614.56 ha (15.37%), while the cultivation area annual crops and settlements have an area of 14,843.3 ha (63.10%). Most of the land use in the alo basin is said to be appropriate to the direction of the function of the area, where the land has an area of 18,566.6 hectares or 79.05% while the unsuitable land is 4,920.7 ha or 20.95% of the entire alo watershed. Keywords: land suitability, directed land functions, alo watershed, gorontalo Abstrak - Penetapan fungsi kawasan sangat penting guna menjaga kelestarian dan mencegah kerusakan lingkungan, sehingga dapat meningkatan keselamatan, kesejahteraan serta kenyamanan hidup. Kejadian longsor di Kabupaten Gorontalo sebagian dari wilayah DAS Alo yaitu berada di Kecamatan Pulubala dan Kecamatan Tibawa telah menghancurkan 221 buah rumah, 31 buah rumah di antaranya rusak parah, dan korban luka-luka sejumlah 628 orang. Selain itu yang menjadi faktor penyebab longsoran di DAS Alo diantaranya adalah faktor lereng, jenis tanah, curah hujan yang tinggi dan pemanfaatan lahan oleh masyarakat. Penelitian ini bertujuan untuk: (1) Memetakan arahan fungsi utama kawasan di DAS Alo berdasarkan Surat Keputusan Menteri Pertanian Nomor 837/Kpts/Um/11/1980 (2) Menganalisis kesesuaian penggunaan lahan di DAS Alo berdasarkan arahan fungsi utama kawasan dan menyajikannya dalam bentuk peta. Metode dan analisis yang digunakan dalam penelitian ini adalah skoring, overlay, dan survey lapangan. Berdasarkan hasil analisis DAS Alo memiliki 4 arahan fungsi kawasan yaitu Arahan fungsi kawasan lindung memilki luas 93.09 ha (0.40%), kawasan penyangga 4970.74 ha (21.13), kawasan budidaya tanaman tahunan 3614,56 ha (15,37%), sedangkan kawasan budidaya tanaman semusim dan pemukiman memilki luas sebasar 14.843,3 ha (63,10%). Sebagian besar pemanfaatan lahan di DAS Alo dikatakan sudah sesuai terhadap arahan fungsi kawasan, dimana lahan sesuai memilki luas 18.566,6 ha atau 79,05 % sedangkan lahan yang tidak sesuai 4.920,7 ha atau 20,95 % dari seluruh wilayah DAS Alo. Kata kunci: kesesuaian lahan, arahan fungsi lahan, daerah aliran sungai alo, gorontalo

DETEKSI PERKEMBANGAN LAHAN TERBANGUN KOTA GORONTALO BERDASARKAN CITRA LAST (LANDSAT, ASTER, & SENTINEL-2A) (Detection of the built-up area development in Gorontalo City Based on LAST (Landsat, ASTER, & Sentinel-2A) Imagery) Arthur Gani Koto; Ivan Taslim
Jurnal Sains Informasi Geografi Vol 1, No 2 (2018): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Abstract – Built-up area is easily found in urban areas which is the most land use compared to other land use. The development of the built-up area has also increased with increasing population and increasing economic activity. Most of the population activities in the form of economy, services, trade, offices, education, health, and entertainment facilities that are centralized in urban areas have caused the availability of non-built-up area to shrink further. Detection of the built-up area can be assessed from remote sensing data using urban indices, multispectral classification (supervised and unsupervised classification), and spectral bands. This study aims to detect the built-up area based on multisensor and multitemporal imagery. Landsat 5 TM, Landsat 8, ASTER, and Sentinel-2B (LAST) images were used in this study. Digital image processing is performed on each image using the guided classification method support vector machine (SVM) algorithm. Four classes of land cover were taken, namely built-up area, vegetation, bare land, and water bodies. Samples of built-up area classes were taken as many as 31 random sampling points spread over the study area. Validation tests were carried out for each image based on the ground check. Results of the study showed that the development of the built-up area was directed to the north and the difference in the extent of information on the built-up area due to differences in spatial resolution. Keywords: built-up area, landsat, aster, sentinel, supervised classification, gorontalo Abstrak –Lahan terbangun mudah ditemukan di wilayah perkotaan yang merupakan penggunaan lahan paling banyak dibandingkan penggunaan lahan lainnya. Perkembangan lahan terbangun turut meningkat seiring pertambahan jumlah penduduk dan peningkatan aktivitas ekonomi. Sebagian besar aktivitas penduduk berupa ekonomi, jasa, perdagangan, perkantoran, pendidikan, kesehatan, dan sarana hiburan yang terpusat di wilayah perkotaan menyebabkan ketersediaan lahan non-terbangun kian menyusut pula. Deteksi lahan terbangun dapat dikaji dari data penginderaan jauh menggunakan indeks perkotaan (urban index), klasifikasi multispektral (supervised and unsupervised classification), dan saluran spektral (spectral bands). Penelitian ini bertujuan mendeteksi lahan terbangun berdasarkan citra multis-sensor dan multi-temporal. Citra landsat 5 TM, landsat 8, ASTER, dan sentinel-2B (LAST) digunakan dalam penelitian ini. Pengolahan citra digital dilakukan pada masing-masing citra yang menggunakan metode klasifikasi terbimbing algoritma support vector machine (SVM). Sebanyak empat kelas tutupan lahan diambil, yaitu lahan terbangun, vegetasi, lahan terbuka dan tubuh air. Sampel kelas lahan terbangun diambil sebanyak 31 titik secara random sampling yang tersebar di wilayah penelitian. Uji validasi dilakukan untuk masing-masing citra berdasarkan ground check. Hasil penelitian menunjukkan bahwa perkembangan lahan terbangun mengarah ke utara, dan perbedaan luasan informasi lahan terbangun yang disebabkan perbedaan resolusi spasial. Kata kunci: lahan terbangun, landsat, aster, sentinel, klasifikasi terbimbing, gorontalo

STUDY AVAILABILITY OF WIND SPEED IN THE SOUTH COASTAL AREA OF GORONTALO REGENCY, INDONESIA Arthur Gani Koto
Jurnal Sains Informasi Geografi Vol 3, No 2 (2020): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v3i2.664

The location of Indonesia at the equator is a Hadley, Walker, and local circulation encounter area so that the condition is estimated to be rich in wind potential. The power capable of installing the 2016 PLN power plant from the Bayu Power Plant (PLTB) only meets 0.20 MW in Gorontalo. This study aims to study the availability of wind speed in the southern coastal region of Gorontalo Regency. Wind speed measurement using hand anemometer is carried out in two sessions for each village, namely session I between 10.00 - 12.00 WITA and session II between 16.00 - 18.00 WITA. There are five villages located on the southern coast of Gorontalo Regency as data collection locations, namely Bongo, Kayubulan, Bulihu Tengah, Luluo and Taulaa Villages. The selection of the village is based on its location in the District Capital, directly adjacent to Tomini Bay, easy access to location, and population. Data retrieval in the form of wind speed, location coordinates, air temperature, air pressure, and altitude. The results showed that the highest average wind speed occurred at the measurement of Session I in Taulaa Village at 4.2 m/s.

PENGOLAHAN FOTO UDARA DRONE MENGGUNAKAN PERANGKAT LUNAK Pix4DMAPPER (Drone Aerial Photograph Processing Using Pix4D Mapper Software) Arthur Gani Koto
Jurnal Sains Informasi Geografi (J SIG) Vol 4, No 1 (2021): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v4i1.738

Abstract - A recording project using a drone where one of the results is in the form of aerial photographs, it is necessary to carry out further processing, namely a mosaic to obtain the final result in the form of an orthomosaic. It is intended that it can be analyzed for various interests, especially in the field of earth. This study aims to show how to process drone aerial photos into orthomosaic using a desktop PC that has Pix4Dmapper software installed. The data used is an aerial photo of the PRPM area "tracking mangrove in love" totaling 112 images recorded by the DJI Phantom 4 drone. The processing process used a PC desktop with specifications : AMD FX 8300 CPU, 16 GB DDR3 RAM, GPU: AMD Radeon (TM) R9 200 Series 2 GB, HDD: 1 TB 5400 rpm, and Windows 10 Enterprise 64-bit operating system. The method used is processing drone aerial photos into orthomosaic and DSM on the Pix4Dmapper software using a PC Desktop. During aerial photo processing, temperature observations (CPU, RAM, GPU, HDD, Motherboard) are also carried out using the CPUID HWMonitor application and observing hardware workloads (CPU, RAM, GPU, HDD) using the Task Manager application. Initial processing and DSM, Orthomosaic, and Index are performed by default setting. Point Cloud and Mesh settings for image scale: slow and point density: high, otherwise they are the default. The results showed that the need for processing drone aerial photos into orthomosaic and DSM can be done with the desktop PC specifications mentioned above. The total time required during the processing process is 5 hours 18 minutes 28 seconds.Keywords: aerial photograph, drone, orthomosaic, pix4d mapper Abstrak – Kegiatan perekaman menggunakan drone yang salah satu hasilnya berupa foto udara perlu dilakukan pengolahan lebih lanjut yaitu mosaik agar diperoleh hasil akhir berupa orthomosaic. Hal ini bertujuan agar dapat dianalisis untuk berbagai kepentingan khususnya dibidang kebumian. Penelitian ini bertujuan untuk menunjukkan bagaimana pengolahan foto udara drone menjadi orthomosaic menggunakan PC Desktop yang telah terinstall perangkat lunak Pix4Dmapper. Data yang yang digunakan yaitu foto udara kawasan PRPM “tracking mangrove in love” berjumlah 112 image yang direkam drone DJI Phantom 4. Proses pengolahan menggunakan PC desktop dengan spesifikasi CPU AMD FX 8300, 16 GB RAM DDR3, GPU: AMD Radeon (TM) R9 200 Series 2 GB, HDD: 1 TB 5400 rpm, dan sistem operasi Windows 10 Enterprise 64-bit. Metode yang digunakan yaitu pengolahan foto udara drone menjadi orthomosaic dan DSM pada perangkat lunak Pix4Dmapper menggunakan PC Desktop. Selama pengolahan foto udara berlangsung, dilakukan pula pengamatan suhu (CPU, RAM, GPU, HDD, Motherboard) menggunakan aplikasi CPUID HWMonitor dan pengamatan beban kerja perangkat keras (CPU, RAM, GPU, HDD) menggunakan aplikasi Task Manager. Pengaturan Initial processing dan DSM, Orthomosaic, and Index dilakukan secara default. Pengaturan Point Cloud and Mesh untuk image scale : slow dan point density : high, selain itu default. Hasil penelitian menunjukkan bahwa kebutuhan untuk pengolahan foto udara drone menjadi orthomosaic dan DSM dapat dilakukan dengan spesifikasi PC Desktop tersebut diatas. Total waktu yang dibutuhkan selama proses pengolahan yaitu 5 jam 18 menit 28 detik.Kata kunci: foto udara, drone, ortomosaic, pix4d mapper

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