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All Journal Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktik dalam Bidang Pendidikan dan Ilmu Geografi JURNAL GEOGRAFI Geografi dan Pengajarannya
Waode Yunia Silviariza
Universitas Negeri Malang
Earth & Planetary Sciences Education Physics Social Sciences

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Spatial-Problem Based Learning (SPBL) development (preliminary studies for geography learning) Waode Yunia Silviariza; Budi Handoyo
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi Vol 25, No 1 (2020)
Publisher : Universitas Negeri Malang

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Abstract

Problem Based Learning (PBL) is one of the scientific learning models that is widely used by teachers to educate students about the subjects they teach. PBL is widely developed and applied in all fields of multidisciplinary science. Therefore, PBL in learning geography needs to be developed to fit the main characteristics of geography, namely the spatial approach. In geography learning, the Spatial Based Learning (SBL) model is often used. SBL is a model that can encourage students to think in space. Therefore, integrating PBL and SBL will create a new learning model that is more in line with the characteristics of geography learning that presents spatial phenomena or problems. The purpose of this research is to develop a PBL model for learning geography. Design research development using Borg and Gall [1] with eight steps, namely: (1) needs analysis, (2) planning, (3) developing initial product forms, (4) initial field testing, (5) major product revisions, ( 6) carrying out field testing, (7) product revisions, and (8) final product revisions. The subjects of the study were geography students, Universitas Negeri Malang, and the validator was a doctor in geography education. Data collected by in-depth interviews and questionnaires. In-depth interviews are used to collect data from expert validators, while questionnaires are used to collect data from students. Data from expert validation is used to improve the learning model developed. Data from students is used to determine the feasibility of the resulting model. Data analysis was performed descriptively and statistically. The results of the development mentioned Spatial Problem Based Learning (SPBL). It has five steps, namely: (1) spatial problem orientation, (2) formulating spatial problems, (3) collecting and organizing spatial data, (4) analyzing spatial data and discussion, and (5) communication. The results of validation by experts showed a score of more than 65%. Field test results show that the average score of the five development steps is 93.2. Based on trials that the SPBL syntax is feasible
ANALYSIS OF DIFFERENT LEVEL OF RESILIENCE IN FARMING COMMUNITIES IN FLOOD DISASTER-PROPOSED AREA AT BOJONEGORO REGENCY Bambang Sigit Widodo; Nur Isroatul Khusna; Waode Yunia Silviariza
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 19 No 2 (2021): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : GEOGRAPHY EDUCATION DEPARTMENT Social Science and Law Faculty, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v19n2.p37-46

Abstract

Abstract: This study aims to determine the level of resilience in farming communities in flood-prone areas which include Bojonegoro District, Balen District, and Trucuk District. This type of research is quantitative using a survey approach. The sample in this study amounted to 153 respondents with predetermined criteria, namely farmers with land ownership of less than 1 hectare. Collecting data using a resilience instrument developed by CD-RISC, and then modified by the researcher according to the characteristics of the respondents. Data analysis used one way ANOVA test. The results showed a p value < 0.001, so there was a significant difference between the levels of resilience in the three regions with the highest value in the Bojonegoro sub-district, namely 112.805, which means that it has a better resilience level than Balen and Trucuk Districts. The frequency in which the Bojonegoro sub-district receives floods > 2 times a year makes the people in this area have the ability to adapt, so that their resilience is better. Keywords: resilience, farmers, flood disaster
Co-Authors Bambang Sigit Widodo Budi Handoyo Nur Isroatul Khusna