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IDENTIFIKASI POTENSI ALAM DESA DULANGEYA SEBAGAI KAWASAN WISATA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (Identification of the Natural Potential of Dulangeya Village as a Tourism Area Using Geographic Information Systems) Herman Saleh; Arthur Gani Koto; Ivan Taslim
Jurnal Sains Informasi Geografi Vol 1, No 2 (2018): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (654.041 KB) | DOI: 10.31314/jsig.v1i2.173

Abstract

Abstract - This research was conducted in Dulangeya Village, Botumoito District, Boalemo Regency. Dulangeya village is one of the villages in Botumoito Subdistrict that has natural resources (SDA) that deserve to serve as the object of natural tourist attraction. The natural potential is hot springs, mangroves and white sandy beaches based on the above objective of this research is to identify the natural potentials in Dulangeya village into tourist areas by utilizing GIS applications. Methods and data analysis used is the method of interview and field observation is a method that aims to determine the level of natural potential feasibility in Dulangeya village which will serve as a spatial analysis and scoring. The results of spatial analysis based on land cover map, slope map and geological map shows that Dulangeya village has land cover (primary mangrove forest, secondary mangrove forest, dryland farming, dryland farming mixed with shrubs / bushes), alluvium geology and granodiorite and slope which range between 2-5% and 5-15%. Meanwhile, based on scoring analysis for each criterion is attractiveness (94.44%), accessibility (70.83%), accommodation (33.33%) and facilities and infrastructure (70%). Based on the results of spatial analysis and scoring analysis shows that Dulangeya Village is one of the villages in Botumoito Subdistrict that has the potential of natural resources that deserve to be used as one of the natural attractions. Keywords: Nature Potential, Tourism, Dulangeya Village, GIS Abstrak - Penelitian ini dilakukan di Desa Dulangeya Kecamatan Botumoito Kabupaten Boalemo. Desa Dulangeya merupakan salah satu Desa di Kecamatan Botumoito yang memiliki Sumber Daya Alam (SDA) yang layak untuk dijadikan sebagai obyek daya tarik wisata alam. Potensi alam tersebut berupa sumber mata air panas, mangrove dan pesisir pantai berpasir putih berdasarkan hal tersebut maka tujuan dari penelitian ini adalah mengidentifikasi potensi alam di Desa Dulangeya menjadi kawasan wisata dengan memanfaatkan aplikasi SIG. Metode dan analisis data yang digunakan adalah metode wawancara dan observasi yaitu metode yang bertujuan untuk mengetahui tingkat kelayakan potensi alam di Desa Dulangeya yang akan dijadikan sebagai kawasan wisata dan dianalisis secara spasial dan skoring. Hasil analisis spasial berdasarkan peta tutupan lahan, peta lereng dan peta geologi menunjukan bahwa Desa Dulangeya memiliki tutupan lahan (hutan mangrove primer, hutan mangrove sekunder, pertanian lahan kering, pertanian lahan kering bercampur semak/belukar), tataran geologi aluvium dan granodiorit serta kemiringan lereng yang berkisar antara 2-5% dan 5-15%. Sedangkan berdasarkan hasil analisis skoring untuk setiap kriteria penilian adalah daya tarik (94,44%), aksesibilitas (70,83%), akomodasi (33,33%) serta sarana dan prasana (70%). Berdasarkan hasil analisis spasial dan analisis skoring menunjukkan bahwa Desa Dulangeya merupakan salah satu Desa di Kecamatan Botumoito yang memiliki potensi SDA yang layak untuk dijadikan sebagai salah satu obyek wisata alam. Kata Kunci: Potensi Alam, Wisata, Desa Dulangeya, SIG
ANALISIS SEBARAN LOKASI STASIUN PENGISIAN BAHAN BAKAR UMUM (SPBU) DI KABUPATEN GORONTALO (Distribution Analysis of The Location of Public Fuel Filling Stations (SPBU) in Gorontalo District) Almijan Yusuf; 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.v3i2.662

Abstract

Gorontalo District, which is geographically located in the middle of Gorontalo Province and is traversed by the Trans Sulawesi road, is the main transportation route from Central Sulawesi, Pohuwato Regency and Boalemo Regency to the east, as well as from North Sulawesi Province, Gorontalo City and Bone Bolango Regency to the west. The mobility of the vehicle that passes every time requires the consumption of fuel oil (BBM). The supply of BBM by Pertamina through the Public Fuel Filling Station (SPBU) is one of the main infrastructure available. The purpose of this study is to examine the spatial distribution of gas stations in Gorontalo District. The navigation measurement tool in the form of GPS is used to take the coordinates of gas stations based on field checks. Nearest neighbor analysis method is used to calculate the distribution pattern of location points between gas stations. The results showed that the distribution of SPBU location points in Gorontalo District formed a uniform (linear) pattern and the location distance between SPBUs was included in the very far criteria.
ANALISIS SPASIO-TEMPORAL KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI KABUPATEN GORONTALO (Spatio-Temporal Analysis of Dengue Health Fever (DBD) In Gorontalo District) Masrin Melangi; Arthur Gani Koto; Ivan Taslim
Jurnal Sains Informasi Geografi Vol 1, No 1 (2018): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1823.67 KB) | DOI: 10.31314/jsig.v1i1.89

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Abstract - This research was conducted in Kabupaten Gorontalo. The purpose of this research is to analyze data and information of DHF incidence in Kabupaten Gorontalo spasiotemporal. An ArcGIS 10.1 software was applied in this research to look at descriptive epidemiology which will be presented in the form of maps, and the tables will then be described in an overlap with DHF incidence data through geographic information systems (GIS). The results of this study indicate that in the last six years, from 2010 to 2016 Gorontalo District has DHF outbreaks in Limboto sub-district, then in 2013-2016 there are 9 sub-districts that have DHF outbreak of Telaga District, Telaga Jaya, Telaga Biru, West Limboto , Tilango, Tibawa, Bilato and Tabongo marked by an increase in cases every year in the Eastern Region of Gorontalo Regency precisely located in the area of Lake Limboto Area. if it is verified using Rainfall data, DHF incidence in Gorontalo District in 2011 until 2015 is not affected by rainfall but will be different from dengue fever case in 2016 which is influenced by high rainfall amount. Keywords: spatio-temporal, gis, dengue health fever, gorontalo Abstrak – Data dan informasi secara spasial dan temporal sangat berguna dalam upaya mengurangi jumlah kejadain DBD di setiap Daerah, dan Kabupaten Gorontalo belum memiliki informasi secara spasial dan temporal mengenai kejadian DBD, Tujuan dari penelitian ini adalah untuk menganalisis data dan informasi kejadian DBD di Kabupaten Gorontalo secara spasiotemporal. Penelitian ini dilakukan di Kabupaten Gorontalo.Sebuah perangkat lunak ArcGIS 10.1 diaplikasikan dalam penelitian ini untuk melihat secara epidemiologi deskriptif yang disajikan dalam bentuk peta, dan tabel yang kemudian digambarkan secara tumpang susun dengan data kejadian DBD melalui sistem informasi geografis (SIG). Hasil penelitian ini menunjukkan bahwa dalam enam tahun terakhir, sejak Tahun 2010 hingga Tahun 2016 Kabupaten Gorontalo mengalami KLB DBD di Kecamatan Limboto, kemudian pada tahun 2013-2016 terdapat 9 Kecamatan yang mengalami KLB DBD yakni Kecamatan Telaga, Telaga Jaya, Telaga Biru, Limboto Barat, Tilango, Tibawa, Bilato dan Tabongo yang ditandai oleh peningkatan kasus pada setiap tahun di Wilayah bagian Timur Kabupaten Gorontalo tepatnya berada di area Kawasan Danau Limboto. jika diverivikasi menggunakan data Curah Hujan, Kejadian DBD di Kabupaten Gorontalo pada tahun 2011 hingga tahun 2015 tidak dipengaruhi oleh jumlah Curah Hujan akan tetapi berbeda dengan kejadian DBD pada tahun 2016 yang justru dipengaruhi oleh jumlah Curah Hujan yang tinggi. Kata kunci: spasio-temporal, sig, demam berdarah dengue, gorontalo
INTERPRETASI LAHAN SAWAH DI KECAMATAN LIMBOTO BARAT MENGGUNAKAN CITRA LANDSAT 8 OLI (Interpretation of Paddy Fields in West Limboto Subdistrict Using Landsat 8 OLI) Egrilianti A. Moonti; Sri Sutarni Arifin; Arthur Gani Koto
Jurnal Sains Informasi Geografi Vol 1, No 1 (2018): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (674.582 KB) | DOI: 10.31314/jsig.v1i1.100

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Abstract - One of the issues of national food security is the availability of staple food in the form of rice in a sustainability. The availability of paddy fields in West Limboto subdistrict, which is one of the rice producing areas in Gorontalo Regency needs to be interpreted to be known if there is land conversion in the future. Calculation of rice fields can be interpreted using remote sensing data. The purpose of this research is to interpreationt the extent of paddy field located in West Limboto subdistrict. Landsat 8 OLI (Operational Land Imager) acquired November 20, 2015 is the data used in this study. GPS measuring instrument is used as a tool for checking the coordinates of sample points that will be in the fiel d check. The method by digital image processing landsat 8 OLI using supervised classification algorithm maximum likelihood. Landsat 8 layer stacking process then do corrected geometric. Unsupervised classification is performed as an initial interpretation stage to classify land cover and also as sample point extraction. Total 18 sample points were taken that were used for ground data. Reclassified using supervised method processing after finished ground data. The results show that the paddy fields about 886,66 ha spread in 8 villages. Keywords: paddy fields, supervised, mapping, west limboto, gorontalo Abstrak – Salah satu isu ketahanan pangan nasional adalah ketersediaan bahan makanan pokok berupa beras secara berkelanjutan. Ketersediaan lahan sawah di Kecamatan Limboto Barat yang merupakan salah satu wilayah penghasil beras di Kabupaten Gorontalo perlu diinterpretasi agar dapat diketahui bila terjadi alih fungsi lahan pada masa mendatang. Penghitungan luas lahan sawah dapat diinterpretasi menggunakan data penginderaan jauh yaitu citra landsat 8. Tujuan penelitian ini adalah untuk menginterpretasi luasan lahan sawah yang terdapat di Kecamatan Limboto Barat. Citra landsat 8 OLI (Operational Land Imager) perekaman 20 November 2015 merupakan data yang digunakan dalam penelitian ini. Alat ukur berupa GPS digunakan sebagai alat bantu untuk pengecekan koordinat titik sampel yang akan di cek lapangan. Metode penelitian dilakukan dengan teknik pengolahan citra digital landsat 8 OLI menggunakan klasifikasi supervised algoritma maximum likelihood. Citra landsat 8 dilakukan proses layer stacking kemudian dikoreksi geometrik. Klasifikasi tak terbimbing (unsupervised) dilakukan sebagai tahap interpretasi awal untuk mengklasifikasi tutupan lahan dan juga sebagai pengambilan titik sampel. Sebanyak 18 titik sampel diambil yang digunakan untuk cek lapangan. Reklasifikasi metode terbimbing (supervised) dilakukan dari hasil data lapangan. Hasil yang diperoleh menunjukkan luas lahan sawah sekitar 886,66 ha yang tersebar di 8 desa. Kata kunci: sawah, landsat, supervised, pemetaan, limboto barat, gorontalo
Analysis of Infiltration in Various Land Use in The Alo River Sub-Region Wiranto Djauhari; Arthur Gani Koto; Risman Jaya; Sri Rahayu Ayuba; Ahmad Syamsu Rijal; Tisen Tisen
Jurnal Geografika (Geografi Lingkungan Lahan Basah) Vol 4, No 1 (2023): GEOGRAFIKA
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jgp.v4i1.8060

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In the Alo sub-watershed, the study compares the rates of various types of land use. The Alo sub-watershed is 7,959.98 areas in total. Measurement of infiltration rates for various land uses in the Alo sub-watershed and analysis of differences in infiltration rates for various land uses in the Alo sub-watershed are the problems at hand in this study. The Horton method was used in this study's infiltration measurements. This approach uses a model of time-dependent empirical equations. It is known that multiple infiltration categories exist for plantations, villages, vacant land, bushes, and woods in the infiltration rate class for the kind and usage of dry land used in this study's Alo sub-watershed. It has classes for Fast, Moderate, and Moderate infiltration rates. For the type of land use and paddy field, the infiltration rate falls into the category of being fairly slow. This is due to the high water content of paddy fields, which makes the infiltration process take a while to complete. As a result, the infiltration rate in the Alo sub-watershed, Tibawa District, Gorontalo Regency, and Gorontalo Province reveals that the medium class dominates in the Alo sub-watershed. The cumulative infiltration rate or total amount of infiltrated water is 123,899 mm/hour at point 14 types of vacant land, and 8,476 mm/hour at point 16, which is the smallest cumulative value. The infiltration rate class in the Alo sub-watershed, Tibawa District, Gorontalo Regency, and Gorontalo Province reveals that the Medium Class dominates the sub-watershed.
Spasial Luas Tanam Padi Sawah Irigasi Berdasarkan Citra Satelit Optis Koto, Arthur Gani; Koto, Helmi Alinurgi; Dangkua, Talha
JTPG (Jurnal Teknologi Pertanian Gorontalo) Vol 8 No 2 (2023): Jurnal JTPG (November)
Publisher : PROGRAM STUDI MESIN DAN PERALATAN PERTANIAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30869/jtpg.v8i2.1268

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Sawah merupakan pertanian lahan basah yang dalam beberapa fase pertumbuhannya memerlukan penggenangan. Fase penggenangan pada sawah irigasi dapat dengan mudah dikenali secara visual dibanding lahan pertanian lainnya dari data citra satelit penginderaan jauh optis. Di Gorontalo, riset-riset terakit padi dan sawah telah banyak dilakukan. Hal ini ditunjukkan dari data Google Scholar Tahun 2017-2021 dengan keywords “gorontalo” dan “sawah” pada aplikasi Publish or Perish. Namun riset-riset tersebut masih berkutat pada tema non data penginderaan jauh. Kabupaten Gorontalo yang memiliki lahan sawah irigasi selayaknya banyak dilakukan penelitian dengan memanfaatkan data penginderaan jauh. Hal ini karena data penginderaan jauh dapat menghasilkan informasi secara cepat, waktu singkat, dan tingkat akurasi yang dapat diterima hingga 85%. Penelitian ini bertujuan untuk menghitung luas tanam padi sawah irigasi berdasarkan citra satelit digital penginderaan jauh optis di sebagian wilayah Kabupaten Gorontalo. Data yang digunakan yaitu citra landsat 8 perekaman 5 April 2022 path/row 113/59 dengan tutupan awan di daratan sebesar 15,48 %. Digunakan pula data primer untuk mengecek dilapangan hasil interpretasi citra. Metode penelitian yaitu mengolah citra landsat berbasis cloud computing memanfaatkan platform Google Earth Engine (GEE). Hasil penelitian menunjukkan bahwa platform GEE dapat digunakan sebagai suatu pengolahan data penginderaan jauh untuk menurunkan informasi luasan lahan sawah irigasi.
KETERSEDIAAN RUANG TERBUKA HIJAU DI KELURAHAN KAYUBULAN, KECAMATAN LIMBOTO Koto, Arthur Gani; Hulalata, Sandra; Eraku, Sunarty Suly; Suprapto, Srihandayani; Moha, Sartika
Indonesian Journal of Spatial Planning Vol. 5 No. 1 (2024): VOLUME 5 NOMOR 1 MARET 2024
Publisher : Program Studi Perencanaan Wilayah dan Kota, Fakultas Teknik, Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/ijsp.v5i1.8532

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Penelitian ini bertujuan untuk mengkaji ketersediaan RTH di Kelurahan Kayubulan, Kecamatan Limboto, Kabupaten Gorontalo. Data yang digunakan yaitu citra google earth, data spasial administrasi Kecamatan Limboto dan Kelurahan Kayubulan, data lokasi RTH Publik dari Dinas PU Kabupaten Gorontalo, data BPS Kecamatan Limboto Dalam Angka dan observasi lapangan. Lokasi RTH yang diperoleh dari Dinas PU dicatat koordinatnya kemudian dilakukan delineasi manual dari citra google earth. Observasi lapangan dilakukan untuk melihat dan mengecek kondisi sebenarnya. Observasi lapangan berupa pengambilan dokumentasi tiap lokasi RTH. RTH Publik yang terdapat di Kelurahan Kayubulan ada 4 yaitu Taman Kota (1 ha), Taman Bermain (1 ha), Kawasan Perkantoran (1 ha), dan GOR David-Toni (4,74 ha). Hasil penelitian menunjukkan bahwa Citra Google Earth dapat digunakan sebagai salah satu sumber data untuk mengetahui berbagai fitur permukaan bumi karena secara visual kenampakannya cukup jelas. Ketersediaan RTH Publik belum memenuhi ketentuan dalam Undang-Undang No. 26 Tahun 2007 tentang Penataan Ruang dan Permen ATRKBPN 14 Tahun 2022 yaitu sebesar 20% dari luas wilayah.
Analisis Sebaran Tingkat Kerentanan Erosi di Kawasan DAS Alo, Gorontalo Arman, Anggriani; Rijal, Ahmad Syamsu; Dangkua, Talha; Jaya, Risman; Koto, Arthur Gani
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 22 No. 2 (2024): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v22i2.59553

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Alo Watershed Gorontalo Regency is one of the biggest contributors to watershed sedimentation in Limboto Lake, so it is necessary to conduct research on the distribution of erosion vulnerability levels in Alo Watershed. This study aims to determine the Analysis of the Distribution of Erosion Vulnerability Levels in the Alo Watershed Area, using the USLE (Universal Soil Loss Equation) method by finding the value of A, namely the amount of erosion that is influenced by rainfall (R), soil type (K), slope (LS). ), land use (C), and conservation measures (P) the calculation is the value of A = R x K x LS x C x P. The research results show that the total amount of erosion in the Alo Watershed area is 458,898.35  Ton/Ha/Year. Land use in the Alo watershed area is dominated by moorland or fields, therefore, to reduce the rate of erosion, land conservation measures are needed, for example changing land management habits by making bench terraces. Bench terraces can reduce the length of the slope and hold water so that it can reduce the speed of water flow on the surface.
Photovoltaic thermal (PVT) air collector with monofacial and bifacial solar cells: a review Fudholi, Ahmad; Mustapha, Muslizainun; Taslim, Ivan; Aliyah, Fitrotun; Gani Koto, Arthur; Sopian, Kamaruzzaman
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.742 KB) | DOI: 10.11591/ijpeds.v10.i4.pp2021-2028

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Photovoltaic thermal (PVT) collectors directly convert solar radiation into electrical and thermal energy. A PVT collector combines the functions of a PV panel and a flat plate solar collector. The development of PVT air collectors is a very promising research area. At present, PVT air collectors are used in solar drying and solar air heaters. On the basis of existing literature, most PVT air collectors were built by using monofacial PV modules. The bifacial PV modules had two active surfaces that could capture solar radiation with its front and rear surfaces. Additional sunlight absorption through both surfaces resulted in an enhanced electrical power generation compared with the conventional monofacial PV. Therefore, bifacial PVT was considered to be useful and attractive due to its potential of enhancing overall system performances, including energy and exergy efficiencies. Findings of this review indicated that PVT air collector with bifacial solar cell produced a larger amount of electrical energy, which was approximately 40% higher than a monofacial PVT. The energy and exergy efficiencies of PVT air collector with monofacial solar cells range from 27% to 94% and from 4% to 18%, respectively. For bifacial PVT, the energy and exergy efficiencies of PVT air collector range from 28% to 67% and from 8.2% to 8.4%, respectively.
Heat transfer and efficiency of dual channel PVT air collector: a review Fudholi, Ahmad; Zohri, Muhammad; Taslim, Ivan; Aliyah, Fitrotun; Gani Koto, Arthur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v10.i4.pp2037-2045

Abstract

Solar energy is free, renewable and environment friendly and has been widely used in electricity generation and thermal energy through photovoltaic thermal (PVT) system. A PVT collector is a combination of a PV panel and a thermal collector in a single unit to simultaneously generate electricity and thermal energy. In this review, mathematical models for dual channel PVT air collectors is presented. This review presents various research and development, as well as heat transfer and thermal modelling of dual channel PVT air collectors. Moreover, various mathematical models that evaluate the performances base on energy and exergy analysis of dual channel PVT air collectors are presented. Energy balance is the basic concept in developing the mathematical models. Generally, steady-state one-dimensional linear first-order differential equations were reported for solution of mathematical model. Energy and exergy efficiencies of dual channel PVT air collectors were 22.5%–67% and 3.9%-58%, respectively.