UPAYA PENINGKATKAN KEMAMPUAN BERPIKIR DIVERGEN PESERTA DIDIK SMAN 2 BATU MATA PELAJARAN GEOGRAFI MELALUI PBL DIPADU DIFERENSIASI KONTEN

Masalah pembelajaran yang ditemukan pada saat observasi pra-tindakan yaitu rendahnya kemampuan berpikir divergen peserta didik. Hal tersebut dibuktikan ketika guru mengajukan pertanyaan, peserta didik menjawab secara seragam. Di saat yang bersamaan, hasil ulangan harian menunjukkan rendahnya perolehan nilai peserta didik. Tujuan penelitian ini adalah meningkatkan kemampuan berpikir divergen peserta didik pada materi dinamika hidrosfer dan pengaruhnya bagi kehidupan manusia dengan menggunakan model PBL dipadu pembelajaran berdiferensiasi konten. Jenis penelitian ini adalah penelitian tindakan kelas (PTK) dengan rancangan penelitian diawali observasi pra tindakan, pelaksanaan tindakan selama dua siklus dengan setiap siklusnya terdiri dari dua pertemuan. Subjek dalam penelitian ini yaitu peserta didik kelas X-1 SMAN 2 Batu dengan jumlah 35 peserta didik. Persentase peningkatan kemampuan berpikir divergen peserta didik dari pra tindakan ke siklus I sebesar 19.40 % sedangkan peningkatan dari siklus I ke siklus II meningkat sebesar 12.5 %.&nbsp

IDENTIFIKASI DAN INVENTARISASI POTENSI LAHAN TAMBAK DI WILAYAH PESISIR KABUPATEN LUMAJANG

Abstrak: Penelitian ini bertujuan untuk mengetahui bagaimanakah karakteristik lahan pesisir yang berpotensi untuk lahan tambak di Kabupaten Lumajang dan bagaimanakah persebaran lahan yang berpotensi untuk lahan tambak di Kabupaten Lumajang. Penelitian ini dilakukan dengan menggunakan metode survey. Parameter yang digunakan dalam mengidentifikasi potensi lahan tambak adalah tipe pantai, kemiringan lereng,kualitas fisik tanah/ tekstur tanah, jenis tanah, kualitas air, kondisi hidrologi, jalur hijau/ wilayah konservasi, dan jumlah curah hujan rata-rata tahunan dengan teknik pengambilan sampel purposive sampling. Pengambilan sampel menggunakan unit analisis peta satuan medan yang merupakan hasil ”overlay”dari peta jenis tanah dengan peta kemiringan lereng. Sedangkan teknik analisis data dalam penelitian ini menggunakan komparatif.Kata kunci : pesisir, potensi lahan tambak, persebaran potens

Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multiwaktu dengan Land Change Modeler (LCM) Idrisi Selva 17: Studi Kasus Sub-Das Brantas Hulu

Sebagian besar area Sub-DAS Brantas hulu terletak di wilayah administrasi Kota Batu. Tujuan dari penelitian ini adalah untuk menganalisis perubahan penggunaan lahan dari tahun 2001 hingga 2011 dan 2015 serta memprediksinya di tahun 2020 dan 2025. Metode yang digunakan dalam penelitian adalah analisis perubahan penggunaan lahan dari citra landsat 7 ETM+ tahun 2001 dan 2011 untuk memprediksi penggunaan lahan di tahun 2015 yang selanjutnya uji validitas dengan membandingkan peta penggunaan lahan hasil pemodelan dengan peta aktual penggunaan lahan Sub-DAS Brantas Hulu. Perangkat lunak yang digunakan adalah Idrisi Selva 17 dengan instrumen Land Change Modeler (LCM) dengan pemilihan Multi-Layer Perceptron (MLP) yang digunakan untuk mengevaluasi beberapa variabel yang berpengaruh terhadap perubahan penggunaan lahan. Di tahun 2020, didapatkan luas hutan sebesar 8883.19 Ha, luas ladang sebesar 2066.59 Ha, luas sawah sebesar 295.15 Ha, luas pemukiman sebesar 3193,75 Ha, luas tanaman campuran sebesar 5221.73 Ha, dan luas lahan terbuka pada kaldera sebesar 380,96 Ha. Sedangkan di tahun 2025, luas penggunaan lahan berupa hutan sebesar 9134.50 Ha, sedangkan luas penggunaan lahan ladang sebesar 1766,72 Ha, luas sawah sebesar 295,96 Ha, sedangkan luas pemukiman sebesar 3314,97 Ha, luas tanaman campuran sebesar 5147.67 Ha, dan luas lahan terbuka pada kaldera sebesar 380.98 Ha. Faktor pendorong perubahan penggunaan lahan di wilayah penelitian lebih disebabkan oleh jaringan jalan.   DOI: http://dx.doi.org/10.17977/um017v22i12017p03

Assessment of Urban Mapping Index Accuracy in Relation to Physical Land Characteristics in Humid Tropical Areas

Settlements and built-up areas can lead to the degradation of ecological systems. Good quality and efficient regional planning is therefore needed for urban areas. Spatial data and satellite imagery can be used for mapping and monitoring urban growth. Unfortunately, mapping urban areas can sometimes be difficult due to local variations, and different algorithms can provide varying results. Urban indices often rely on remote sensing reflectance, the accuracy of which can be influenced by land characteristics. No studies have examined the impact of land characteristics on the accuracy of remote sensing urban indices in the humid tropics. The purpose of this study was to compare urban and built area indices, namely EBBI, NDBI, UI, and IBI, in two climatically and topographically different cities. This study also examined the stability and relationship between these indices with environmental factors such as slope, elevation, and temperature. The results showed that EBBI was the index with the highest accuracy in both study areas: 85% for Batu City and 89.17% for Pasuruan City. Also, EBBI was the most stable index for the temporal studies. Environmental factors, especially slope and elevation, had a strong relationship with the index value applied. Therefore, these findings need to be considered in applying the index in areas that have topographical variations. Keywords: built-up land, landsat, EBBI, NDBI, UI, IBI, topograph

Drought Indices to Map Forest Fire Risks in Topographically Complex Mountain Landscapes

Drought has the potential to lead to forest fires. Forest fires generally occur during the dry season when the mountain slope forest experiences a water deficit. Drought identification based on remote sensing is useful for mapping potential fires in Arjuno- Welirang Forest and TNBTS Forest (in Bromo Tengger Semeru National Park). This research used Landsat-8 images in 118/065 and 118/066 in August and November 2015-2018. Validation data were obtained using high resolution planet scope images and rainfall data. Three drought indices were tested to identify fires, namely TVDI, VHI and NDDI. The indices were tested visually using high resolution images and tested meteorologically using SPI. From the results of the accuracy test and correlation, TVDI had the highest accuracy in the Arjuno-Welirang forest (96% accurate), while the best index for TNBTS was the VHI index (96% accurate). Keywords: drought indices, TVDI, VHI, NDDI, forest fires, Indonesi

Two Decades of Land-Use Dynamics in an Urbanizing Tropical Watershed: Understanding the Patterns and Drivers

Java’s Brantas River Basin (BRB) is an increasingly urbanized tropical watershed with significant economic and ecological importance; yet knowledge of its land-use changes dynamics and drivers as well as their importance have barely been explored. This is the case for many other tropical watersheds in Java, Indonesia and beyond. This study of the BRB (1) quantifies the land-use changes in the period 1995–2015, (2) determines the patterns of land-use changes during 1995–2015, and (3) identifies the potential drivers of land-use changes during 1995–2015. Findings show that from 1995 to 2015, major transitions from forest to shrubs (218 km2), forest to dryland agriculture (512 km2), and from agriculture to urban areas (1484 km2) were observed in the BRB. Responses from land-user questionnaires suggest that drivers include a wide range of economic, social, technological, and biophysical attributes. An agreement matrix provided insight about consistency and inconsistency in the drivers inferred from the Land Change Modeler and those inferred from questionnaires. Factors that contributed to inconsistencies include the limited representation of local land-use features in the spatial data sets and comprehensiveness of land-user questionnaires. Together the two approaches signify the heterogeneity and scale-dependence of the land-use change process

Kualitas Air Tanah di Kabupaten Purworejo Selatan

Penelitian ini bertujuan mengetahui karakteristik kualitas air tanah pada daerah kipas aluvial dan dataran aluvial. Teknik pengumpulan data sumur maupun sampel air tanah dilakukan secara acak, sehingga dapat mewakili kondisi daerah penelitian. Hasil penelitian ini menunjukkan bahwa pada daerah bentuklahan kipas aluvial memiliki Daya Hantar Listrik, pH, CI, DO, dan BOD lebih baik dibanding dataran aluvial, sedangkan parameter lain seperti N03, Fe, NH3, 804, pada dataran aluvial kualitasnya lebih baik. Curah hujan, kerapatan irigasi, tebal efektif tanah, permeabilitas tanah, gradien hidrolik, tinggi tempat, dan kontur air tanah berpengaruh terhadap tinggi rendahnya kandungan ion. pada beberapa parameter kualitas air tanah. Proses penguraian bahan organik tidak meyebabkan perubahan kualitas air tanah yang berarti karena proses penguraian terjadi pada situasi aerobik

Assessing future land-uses under planning scenarios: A case study of The Brantas River Basin, Indonesia

Understanding land-use dynamics and patterns and how they respond to management scenarios helps to develop sustainable land use policies. This study simulated future land uses in Brantas River Basin (BRB), East Java, Indonesia using Land Change Modeler (LCM) under policy scenarios. Following identification of twelve important biophysical and socio-economic spatial drivers, the LCM accurately simulated land-use changes over the period 1995–2015, with validation against the 1995 land use map giving an overall accuracy of 85–88 %. Under a business-as-usual scenario, the LCM predicted that during the period 2015 to 2035 continuing deforestation may leave forest cover accounting for only 4 % of the total BRB area, and cause declines in dryland from 45 % to 40 % and in rice-field farming from 24 % to 22 %. The results of that scenario also indicate the prospect of massive urban development, increasing from 18 % of the BRB area in 2015 to 30 % in 2035, with increasing threats to food security and water resources. Both percentage changes and a mean-weighted fractal dimension index suggest increased risks of forest fragmentation and urban aggregation. A spatial planning-influenced scenario, which aims to reduce forest loss and support watershed protection, is predicted to lead to 5.5 % forest cover, 37 % dryland, 29 % rice-field farming and 24 % urban area in 2035. Sensitivity analysis of the LCM showed that the model results were more sensitive to drivers, spatial resolution, and policy scenarios than to uncertainty in model parameters. It is concluded that despite some limitations, the LCM successfully provided'' insights into policy impacts on land-uses in BRB, and the roles of forest and rice-field protection in spatial planning are essential in controlling urban development for watershed sustainability

PENGARUH GUIDED DISCOVERY LEARNING BERBANTUAN MEDIA ARTICULATE STORYLINE TERHADAP KEMAMPUAN BERPIKIR KRITIS SISWA DALAM PEMBELAJARAN GEOGRAFI

THE EFFECT OF ARTICULATE STORYLINE ASSISTED GUIDED DISCOVERY LEARNING ON STUDENTS' CRITICAL THINKING ABILITY IN LEARNING GEOGRAPH