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Pembangunan Geo-Augmented Reality untuk Pengembangan Pembelajaran Geografi Berbasis Project Based Learning Arie Yulfa; Dian Adhetya Arif; Ernawati Ernawati; Bigharta Bhekti Susetyo; Bayu Wijayanto; Adek Andreas; Firma Maulidna; Thuba Imam Fauzi
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2022): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v4i1.243

Learning competence as an indicator of learning process achievement must be supported by appropriate learning media. There is little innovation in the development of geography learning media, and geography teachers' use of technology is still limited and ineffective. Making Augmented Reality-based learning media is one option for achieving the desired competencies. Geo-Augmented Reality technology is developed in stages, including the study of Prototype design theory, sketching out the Prototype, and continuing with the prototyping process. The Prototype is then used in conjunction with offline learning designs to provide a detailed model of field conditions for Geo-Augmented Reality media. Implementing this media-based learning is critical in order to meet the predetermined indicators of achievement of the geography learning process.

PENGARUH MODEL PEMBELAJARAN PROJECT-BASED BLENDED LEARNING DENGAN MENGGUNAKAN GEO-AUGMENTED REALITY TERHADAP HASIL BELAJAR GEOGRAFI SISWA KELAS X DI SMA PEMBANGUNAN LABORATORIUM UNP firma maulidna; Ernawati Ernawati
JURNAL BUANA Vol 7 No 1 (2023)
Publisher : JURUSAN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/student.v7i1.2962

This study aims to determine the Influence of Project-Based Blended Learning Models Using Geo-Augmented Reality on Geography Learning Outcomes of Class X Students at SMA Pembangunan Laboratorium UNP. The research method used is quasi experiment with a quantitative approach. The population in this study was all class X IIS students at SMA Pembangunan Laboratorium UNP which amounted to 121 students. The sampling technique used in this study was Purposive Sampling, which was 60 students from class X IIS 1 and X IIS 3. Data collection techniques through observation, tests and documentation. The data analysis technique is an independent sample t-test (t-test) technique. Based on the results of the study, it was concluded that the influence of the Project-Based Blended Learning learning model using Geo-Augmented Reality on Basic Competence 3.7 (Hydrosphere Dynamics) is better than conventional learning models. With a value of Sig. (2- tailed) of 0.000 which is less than 0.05, so it can be decided that Ho is rejected and Ha is accepted.

Sosialisasi Penggunaan Geo-Augmented Reality untuk Pembelajaran Geografi bagi Guru MGMP Geografi di Sumatera Barat Arie Yulfa; Ernawati Ernawati; Dian Adhetya Arif; Bigharta Bekti Susetyo; Bayu Wijayanto; Adek Andreas; Firma Maulidna; M. Mursyid Alfahri
ABDI: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 3 (2023): Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Labor Jurusan Sosiologi, Fakultas Ilmu Sosial, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/abdi.v5i3.445

Relevant media is needed to support the achievement of indicators in the learning process. The purpose of making the Geo-Augmented Reality SOP module is that schools will be skilled in using and utilizing Geo-AR media in geography learning. This Geo-AR media really helps students and teachers to understand teaching material better and it is hoped that making modules in the use of Geo-AR can make it easier for Geo-AR media users. So, it is necessary to develop Standard Operating Procedures (SOP) based on 4D development that support learning. The aspect of internalizing understanding of material and values will increase as the Geo-AR media used can be felt and used by students in 4 Dimensional form. Devotion in the form of developing SOP Geo-AR is used to make it easier to prepare learning designs that can provide an overview of field conditions in real time. Making this media-based learning module is urgently needed to achieve indicators of achievement in the geography learning process that has been designed. The results of this development are module products, training and socialization to community service partner schools.

PENGARUH MODEL PEMBELAJARAN PROJECT-BASED BLENDED LEARNING DENGAN MENGGUNAKAN GEO-AUGMENTED REALITY TERHADAP HASIL BELAJAR GEOGRAFI SISWA KELAS X DI SMA PEMBANGUNAN LABORATORIUM UNP firma maulidna; Ernawati Ernawati
JURNAL BUANA Vol 7 No 1 (2023)
Publisher : JURUSAN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/student.v7i1.2962

This study aims to determine the Influence of Project-Based Blended Learning Models Using Geo-Augmented Reality on Geography Learning Outcomes of Class X Students at SMA Pembangunan Laboratorium UNP. The research method used is quasi experiment with a quantitative approach. The population in this study was all class X IIS students at SMA Pembangunan Laboratorium UNP which amounted to 121 students. The sampling technique used in this study was Purposive Sampling, which was 60 students from class X IIS 1 and X IIS 3. Data collection techniques through observation, tests and documentation. The data analysis technique is an independent sample t-test (t-test) technique. Based on the results of the study, it was concluded that the influence of the Project-Based Blended Learning learning model using Geo-Augmented Reality on Basic Competence 3.7 (Hydrosphere Dynamics) is better than conventional learning models. With a value of Sig. (2- tailed) of 0.000 which is less than 0.05, so it can be decided that Ho is rejected and Ha is accepted.

PENGARUH MODEL PEMBELAJARAN PROJECT-BASED BLENDED LEARNING DENGAN MENGGUNAKAN GEO-AUGMENTED REALITY TERHADAP HASIL BELAJAR GEOGRAFI SISWA KELAS X DI SMA PEMBANGUNAN LABORATORIUM UNP firma maulidna; Ernawati Ernawati
JURNAL BUANA Vol 7 No 1 (2023)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v7i1.2962

This study aims to determine the Influence of Project-Based Blended Learning Models Using Geo-Augmented Reality on Geography Learning Outcomes of Class X Students at SMA Pembangunan Laboratorium UNP. The research method used is quasi experiment with a quantitative approach. The population in this study was all class X IIS students at SMA Pembangunan Laboratorium UNP which amounted to 121 students. The sampling technique used in this study was Purposive Sampling, which was 60 students from class X IIS 1 and X IIS 3. Data collection techniques through observation, tests and documentation. The data analysis technique is an independent sample t-test (t-test) technique. Based on the results of the study, it was concluded that the influence of the Project-Based Blended Learning learning model using Geo-Augmented Reality on Basic Competence 3.7 (Hydrosphere Dynamics) is better than conventional learning models. With a value of Sig. (2- tailed) of 0.000 which is less than 0.05, so it can be decided that Ho is rejected and Ha is accepted.

Analisis NDVI dan NDBI untuk Pemetaan Konversi Lahan di Kelurahan Napar, Kota Payakumbuh Firma Maulidna; Sudrajat; Sri Rum Giyarsih
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 11 No. 1 (2026): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v11i1.12804

The conversion of agricultural land to non-agricultural is an increasingly intensive phenomenon in urban and peri-urban areas, including in Napar Village, Payakumbuh City. This study aims to analyze changes in agricultural land cover and built-up land in the period 2015–2025 using the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Building Index (NDBI) methods as well as the additional extraction method Object-Based Image Analysis (OBIA). The data used were Landsat 8 and 9 images with a spatial resolution of 30 meters assisted by the results of Sentinel-2 image analysis with a resolution of 10 meters using the OBIA data extraction method to ensure changes in land objects. NDVI values with a range of 0.3–0.6 are categorized as agricultural land, while NDBI values >0.1 are categorized as built-up areas. The results of the analysis with images showed a significant decrease in the area of agricultural land followed by an increase in built-up areas, especially in zones with high accessibility near provincial roads and city centers. The NDVI and NDBI overlays revealed that the largest conversions occurred in the eastern and southern regions of Napar and the OBIA analysis clarified that there was a decrease in agricultural land area from 61 ha (2017) to 56 ha (2025) as a correction in NDVI results and followed by an increase in built-up land area from 27 ha (2017) to 36 ha (2025) as a correction in NDBI results using higher resolution image data. The main drivers of conversion include population growth, infrastructure development, and economic pressures. This study emphasizes the need for proper control of land use in maintaining a balance of land use and sustainable food sustainability.

Analisis NDVI dan NDBI untuk Pemetaan Konversi Lahan di Kelurahan Napar, Kota Payakumbuh Firma Maulidna; Sudrajat; Sri Rum Giyarsih
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 11 No. 1 (2026): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v11i1.12804

The conversion of agricultural land to non-agricultural is an increasingly intensive phenomenon in urban and peri-urban areas, including in Napar Village, Payakumbuh City. This study aims to analyze changes in agricultural land cover and built-up land in the period 2015–2025 using the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Building Index (NDBI) methods as well as the additional extraction method Object-Based Image Analysis (OBIA). The data used were Landsat 8 and 9 images with a spatial resolution of 30 meters assisted by the results of Sentinel-2 image analysis with a resolution of 10 meters using the OBIA data extraction method to ensure changes in land objects. NDVI values with a range of 0.3–0.6 are categorized as agricultural land, while NDBI values >0.1 are categorized as built-up areas. The results of the analysis with images showed a significant decrease in the area of agricultural land followed by an increase in built-up areas, especially in zones with high accessibility near provincial roads and city centers. The NDVI and NDBI overlays revealed that the largest conversions occurred in the eastern and southern regions of Napar and the OBIA analysis clarified that there was a decrease in agricultural land area from 61 ha (2017) to 56 ha (2025) as a correction in NDVI results and followed by an increase in built-up land area from 27 ha (2017) to 36 ha (2025) as a correction in NDBI results using higher resolution image data. The main drivers of conversion include population growth, infrastructure development, and economic pressures. This study emphasizes the need for proper control of land use in maintaining a balance of land use and sustainable food sustainability.

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