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All Journal Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Pendidikan Geografi Undiksha Tunas Geografi Media Komunikasi Geografi Majalah Geografi Indonesia GEA, Jurnal Pendidikan Geografi JPG (Jurnal Pendidikan Geografi) Geo-Image Journal ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES JURNAL GEOGRAFI Geografi dan Pengajarannya Community Development Journal: Jurnal Pengabdian Masyarakat Randwick International of Social Science Journal Jurnal Samudra Geografi Journal of Digital Learning and Education GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Penelitian Geografi (JPG) Indonesian Community Development Journal (ICODEV) Gema Wisata Future Space: Studies in Geo-Education Jurnal Pengabdian Kepada Masyarakat dan Desa (PASSA) GeoEco Geosfera Indonesia Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Sendi Permana
Jurusan Pendidikan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Physics Public Health Social Sciences Other

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META ANALYSIS: THE EFFECT OF AUGMENTED REALITY ON STUDENTS' GEOGRAPHY LEARNING OUTCOMES IN SCHOOLS Lubis, Darwin Parlaungan; Anja Kusumawati, Eka Suci; Rahmadi, M Taufik; Sugiharto; Permana, Sendi; Pratama, Alvin; Suciani, Ayu; Siahaan, Nurhalimah
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p373-384

Abstract

Geography learning outcomes reflect the success of the learning process, particularly in the cognitive domain. However, many students struggle to understand abstract geographical concepts that are ideally taught in natural settings. This study aims to analyze the impact of augmented reality (AR) as a learning medium on geography learning outcomes. Using a quantitative meta-analysis method, 14 ISSN-certified national journal articles were reviewed. The results show that AR significantly enhances geography learning outcomes, with an average effect size of 0.34, indicating a strong positive impact. he results show that AR significantly enhances geography learning outcomes, with an average effect size of 0.34. According to Cohen's criteria, this value is categorized as a large effect, signifying that AR has a substantial and meaningful impact on students’ understanding of abstract geographical concepts. This effect size also surpasses that typically reported for conventional learning media, highlighting the innovative advantage of AR in geography education. Keywords: Augmented Reality, Learning Outcomes, Meta-analysis
An Analysis of Public Schools Availability and Affordability in Small Islands (Case Study: Sabang Municipality) Permana, Sendi; Lubis, Darwin Parlaungan; Yenny, Novida; Permadi, M. Taufik; Milanda, Della Amelia; Nababan, Irson; Maulia, Tria; Halim, Jennifer
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46884

Abstract

Based on geographical location, Sabang municipality is located in an archipelago far from big cities and has a relatively small population so that the fulfillment of educational facilities needs attention. This study aims to analyze and evaluate the availability and affordability of public elementary schools, junior high schools, and senior high schools in Sabang Municipality. This study uses quantitative and qualitative approaches (mix methods). The analysis of availability and affordability was carried out by calculating serviceability and buffering analysis based on normative reference and was completed with interviews with stakeholders of the Education Office. The results of the study show that for detailed availability, namely elementary schools, junior high schools, and senior high schools are all categorized as deficits, while for detailed affordability, namely, elementary schools are categorized as high, junior high schools are categorized as medium, and senior high schools are categorized as high. The government explained that the availability and affordability of public schools at the elementary schools, junior high schools, and senior high schools levels are adequate and accessible, especially equipped with transportation facilities. The conclusion shows that although this study focuses only on public schools so that it is found that the availability is still a deficit, on the other hand the location of the school can be reached, so it can be interpreted that the location of the school is strategic.
An Analysis of Public Schools Availability and Affordability in Small Islands (Case Study: Sabang Municipality) Permana, Sendi; Lubis, Darwin Parlaungan; Yenny, Novida; Permadi, M. Taufik; Milanda, Della Amelia; Nababan, Irson; Maulia, Tria; Halim, Jennifer
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46884

Abstract

Based on geographical location, Sabang municipality is located in an archipelago far from big cities and has a relatively small population so that the fulfillment of educational facilities needs attention. This study aims to analyze and evaluate the availability and affordability of public elementary schools, junior high schools, and senior high schools in Sabang Municipality. This study uses quantitative and qualitative approaches (mix methods). The analysis of availability and affordability was carried out by calculating serviceability and buffering analysis based on normative reference and was completed with interviews with stakeholders of the Education Office. The results of the study show that for detailed availability, namely elementary schools, junior high schools, and senior high schools are all categorized as deficits, while for detailed affordability, namely, elementary schools are categorized as high, junior high schools are categorized as medium, and senior high schools are categorized as high. The government explained that the availability and affordability of public schools at the elementary schools, junior high schools, and senior high schools levels are adequate and accessible, especially equipped with transportation facilities. The conclusion shows that although this study focuses only on public schools so that it is found that the availability is still a deficit, on the other hand the location of the school can be reached, so it can be interpreted that the location of the school is strategic.
Dinamika Cultural Lag Penggunaan Generative Artificial Intelegence (GenAI) dalam Pembelajaran (Studi Kasus: Mahasiswa Baru Prodi Pengembangan Masyarakat Islam UINSU Tahun Ajaran 2025/2026) Syahrani, Hilda; Parmanda, Wahyu Rizky; Hutasuhut, Ikhwan Kurnia; Sugiharto; Permana, Sendi
ICODEV: Indonesian Community Development Journal Vol. 7 No. 1 (2026)
Publisher : Da'wa Faculty UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/icodev.v7i1.15701

Abstract

Penggunaan Generative Artificial Intelegence (GenAI) dalam pembelajaran dapat mempermudah sekaligus menghadirkan tantangan terhadap perubahan budaya belajar di Perguruan Tinggi. GenAI dapat menggeser pola lama terutama dalam proses penyelesaian tugas perkuliahan, disisi lain terdapat ketegangan yang meningkat terkait batasan penggunaan GenAI yang belum sepenuhnya menjadi perhatian bagi mahasiswa baru. Tujuan penelitian ini untuk menganalisis dinamika Cultural Lag penggunaan GenAI dalam pembelajaran bagi mahasiswa baru Prodi Pengembangan Masyarakat Islam UINSU Tahun Ajaran 2025/2026. Pendekatan yang digunakan ialah kualitatif dengan pengumpulan data melalui wawancara mendalam, observasi, dan studi dokumentasi, serta teknik analisis yakni analisis deskriptif. Hasil penelitian menunjukkan bahwa: (1) Seluruh mahasiswa pernah menggunakan GenAI sebagai alat bantu dalam mengerjakan tugas, (2) Kecenderungan pilihan tools GenAI yang digunakan mahasiswa secara berurut yakni ChatGPT, MetaAI, dan BlackboxAI, (3) Sebagian besar mahasiswa setuju untuk diperbolehkan mengerjakan tugas dengan bantuan GenAI, dan (4) Seluruh mahasiswa tidak mengetahui bahwa terdapat etika akademik penggunaan tools GenAI, terutama deklarasi tertulis cakupan penggunaan GenAI. Berdasarkan temuan penelitian maka rekomendasi yang dapat dikemukakan yakni perlunya panduan terkait pemanfaatan GenAI yang sesuai dengan situasi akademik, terutama pada level Prodi dengan harapan agar mahasiswa baru lebih melek terkait batasan penggunaan dan mencantumkan deklarasi penggunaan GenAI pada setiap halaman akhir dokumen tugas mereka.
ANALISIS PENERAPAN AGROFORESTRI DENGAN KOTA BERBASIS SMART ENVIRONMENT SEBAGAI MITIGASI BANJIR DI KOTA MEDAN Sendi Permana; Nadratul Aini Lubis; Sabila Martin Dalimunte; Tria Maulia; Alvin Pratama; Firli Nur Afdilla Sirait
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.38560

Abstract

Kota Medan merupakan kota dengan potensi banjir yang cukup tinggi di Indonesia, dengan besarnya potensi bencana banjir pertumbuhan penduduk yang pesat menyebabkan peningkatan kebutuhan lahan, terutama untuk tempat tinggal di daerah perkotaan, dan kurangnya penerapan teknik pengelolaan lahan berkelanjutan seperti agroforestry di Kota Medan untuk mengurangi degradasi lahan dan risiko banjir, penelitian ini bertujuan untuk mengetahui penerapan agroforestry di kota Medan dan untuk mengetahu apakah penerapan agroforestry di kota Medan mampu dalam memitigasi bencana banjir di Kota Medan dengan menggunakan metode deskriptif kualitatif dan studi literatur. Hasil penelitian menunjukkan bahwa masih banyak belum terdapat penerapan agroforestry di Kota Medan karena minimnya informasi. Hasil penelitian menunjukkan bahwa agroforestry bisa mengurangi resiko terjadinya banjir dengan penerapan yang tepat.
IDENTIFYING CHANGES IN MANGROVE FOREST DISTRIBUTION IN LANGKAT REGENCY USING GOOGLE EARTH ENGINE Batubara, Rina Mawardah; Rahmadi, M Taufik; Harefa, Meilinda Suriani; Lubis, Darwin Parlaungan; Permana, Sendi; Nikmah, Rifqi Ulfatun; Pratama, Alvin
GeoEco Vol 11, No 2 (2025): GeoEco July 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i2.99525

Abstract

Mapping the distribution of mangrove forests is very important to determine the ecological changes, because mangroves protect biodiversity. Google Earth Engine (GEE) is a cloud-based platform that can analyse the distribution of mangrove forests in a complex and efficient manner. This study aims to analyse the use of Google Earth Engine in monitoring changes in the distribution of mangrove forests in Langkat Regency from 2018 to 2024. This study uses Sentinel-2A image data by applying NDVI computed on Google Earth Engine (GEE). The results of the study show that there has been a change in the distribution of mangrove forests from 27,095.4 Ha (2018) to 26,700.56 Ha (2021) and to 24,685.74 Ha (2024), which shows a reduction in distribution by 394.84 Ha (2018-2021) and 2,014.82 Ha (2021-2024). The largest change in distribution occurred in Pangkalan Susu District with a reduction in area of 307.99 Ha (2021) and 984.64 Ha (2024). Changes in the distribution of mangrove forests are caused by human activities in land clearing for ponds and oil palm plantations. The accuracy test of the Sentinel-2A image uses a Confusion Matrix with an Overall Accuracy of 85%. This study shows the potential that Google Earth Engine-based Citra Sentinel-2A data can be used to monitor the distribution of mangrove forests.
Co-Authors Aceh, Resty Marhamah Afiati Zata Dini Afiaty Zata Dini Alvian Maranalom Siregar Alvin Pratama Alvin Pratama Amelia, Pidia Angraini, Tia Anja Kusumawati, Eka Suci Asima Tiara Agnesia Pasaribu Azhar, Muamar Azis, T. Abdillah Azzarah, Regita Asiah Batubara, Rina Mawardah Benedictus P Turnip Charles Faucould Nahampun Dafa Rizky Prayoga Dafa Rizky Prayoga Dalimunte, Sabila Martin Damanik, M Ridha Safii Damanik, M Ridha Syafii Darwin P. Lubis Darwin P. Lubis, Darwin Darwin Parlaungan Lubis Darwin Parlaungan Lubis Darwin Parlaungan Lubis Darwin Parlaungan Lubis Durubanua, Derita Ramai Dyah Rahmawati Hizbaron Efranita Purba, Desi Marcelina Egi Ateta Barus Eling Tuhono Eni Yuniastuti Fatimah Azzahra Fellix Rimba Firli Nur Afdilla Sirait Ginting, M Rizky Pratama Ginting, M. Rizky Ptatama Habibatul Qolbi Sumardi Halim, Jennifer Harefa, Meilinda Suriani Harefa, Meilinda Suryani Hilda Syahrani Hizbaron, Dyah Rahmawati Hutasuhut, Ikhwan Kurnia Junaidi Junaidi Khairani Aprilia Kiki Rendhardi Napitupulu kustanrika, irma wirantina Lara Anjelita Tarigan Lusia Oktaviani M Taufik Rahmadi M. Rizky Pratama Ginting M. Taufik Rahmadi M. Taufik Rahmadi Mahara Sintong Mahdariani Manalu, Febbry Vebilola Maria Dwi Sianipar Maulia, Tria Meilinda Suriani Harefa Milanda, Della Amelia Muhammad Arif Muhammad Taufik Rahmadi Nababan, Irson Nadratul Aini Lubis Nasution, Abd. Haris Nikmah, Rifqi Ulfatun Nina Novira Novira, Nina Nurmala Berutu Panjaitan, Rosa Delima Parmanda, Wahyu Rizky Permadi, M. Taufik Pratama, Alvin Purba, Fanni Grasella Putra, Mulhady Putri Andiana Sari Putri, Nindy Asyifa R. Rijanta Rahmadi, M Taufik Rahmadi, M. Taufik Ramadani, Yunda Fitri Rijalul Halimi Harishun Rosma Purba Ryabtsev, Vladimir S. Sugiharto Sabila Martin Dalimunte Sahala Fransiskus Marbun Sakira Putri Manurung Salsabila, Gadis Saqina, Dilvia Sari, Yetti Anita Sembiring, Yolanda Pratiwi Siahaan, Nurhalimah Sianturi, Kevin Marzuki Sibuea, Tracy Ocha Yulia Siburian, Pukarda Jordan Sinabang, Immanuel Sinaga, Putri Sintong, Mahara Siswahyudianto Sri Muthia Hasan Suciani, Ayu Sugiharto Sugiharto Sugiharto Syahrani, Hilda Syahrini, Hilda Tanjung, Putra Laksamana Tappil Rambe Tria Maulia Tria Maulia Tuhono, Eling Tumiar Sidauruk Vanda, Vanda Wardani, Aulia Yenny, Novida Yessi Karolina Marbun