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All Journal UNM Geographic Journal GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan
Sri Maryati
Pendidikan Geografi, Universitas Negeri Gorontalo
Earth & Planetary Sciences Education

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Pengembangan Media Focusky Materi Interaksi Keruangan Desa Dan Kota Di SMA Negeri 1 Suwawa Kabupaten Bone Bolango Fajran Bentearu; Fitryane Lihawa; Sri Maryati; Daud Yusuf
UNM Geographic Journal Volume 6 Nomor 1 Maret 2023
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ugj.v6i1.46257

Abstract

The purpose of this study is to develop video-animated learning media using the Focusky application on the material of Village and City Spatial Interaction. The purpose of this study is to develop video-animation-based learning media using focusky applications on village and city spatial interaction materials. Focusky is an application that has a variety of templates that can be used in making learning media, especially on village and city interaction materials. This study used the ADDIE model development research method as an approach in compiling the learning media. Media validation is carried out by material experts, media experts, and learning experts. This learning media was tested on a limited and general scale on a limited scale of 17 students each and a general scale of 41 students taken from two schools namely SMA N 1 Suwawa and SMA Negeri 1 Kabila by using a questionnaire or questionnaire. Data from development research results were obtained from the results of the validator which showed that this learning media was declared feasible to use and included in the very valid category. Validation by material experts gets a percentage value of 90% included in the very valid category, media experts get a percentage value of 75%, and learning experts give very valid values with percentages of 86.66% and 88%. The average student response to learning media is 78.18% for a limited scale and 81,68% for a general scale
DETEKSI PERUBAHAN ZONA AGROKLIMAT SCHMIDT-FERGUSON MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KABUPATEN GORONTALO Viky Vendy Moontuno; Sri Maryati; Syahrizal Koem
GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Vol 11, No 2 (2023): SEPTEMBER
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/geography.v11i2.15821

Abstract

Abstrak: Penelitian ini menggunakan SIG untuk menganalisis pergeseran zona agroklimat berdasarkan Klasifikasi Schmidt-Ferguson di Kabupaten Gorontalo. Klasifikasi iklim Schmidt-Ferguson diestimasi menggunakan data curah hujan bulanan. Untuk setiap stasiun hujan dari tahun 1981 sampai 2020 dihitung jumlah Bulan Basah (BB), Bulan Kering (BK), dan Bulan Lembab (BL) selama 10, 20, dan 40 tahun. Kabupaten Gorontalo terdeteksi memiliki lima tipe iklim, yaitu: B, C, D, E, dan F. Tipe C mendominasi di stasiun pengamatan selama periode pengamatan 10 dan 20 tahun. Ada kecenderungan luas tipe C menurun sedangkan luas tipe D bertambah, dan iklim kering tipe E dan F berpotensi meningkat. Pemetaan zonasi iklim mempengaruhi sosial ekonomi masyarakat dalam perencanaan pertanian, khususnya pengelolaan lahan dan jenis tanaman. Hasil zonasi iklim yang terdeteksi perlu diverifikasi dengan teknologi penginderaan jauh menggunakan data citra satelit. Hal ini diperlukan karena kelemahan mendasar klasifikasi iklim adalah batas tipe iklim tidak sesuai dengan batas lanskap. Abstract:  This study uses GIS to analyze shifts in agro-climatic zones based on the Schmidt-Ferguson Classification in Gorontalo District. The Schmidt-Ferguson climate classification is estimated using monthly rainfall data. For each rain station from 1981 to 2020, the number of wet months (BB), dry months (BK), and humid months (BL) is calculated for 10, 20, and 40 years. Gorontalo District was detected to have five climate types, namely: B, C, D, E, and F. Type C dominated at observation stations during the 10 and 20-year observation period. There is a tendency for the area of type C to decrease while the area of type D increases, and the dry climate types E and F have the potential to increase. Climate zoning mapping affects the socio-economic community in agricultural planning, especially land management and plant types. The detected climate zoning results need to be verified with remote sensing technology using satellite imagery data. This is necessary because the fundamental weakness of climate classification is that the climate-type boundaries do not match the landscape boundaries.
Co-Authors Daud Yusuf Fajran Bentearu Fitryane Lihawa Syahrizal Koem Viky Vendy Moontuno