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All Journal Tunas Geografi GEA, Jurnal Pendidikan Geografi Jurnal Geografi GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan
Darwin Parlaungan Lubis
Jurusan Pendidikan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Medan
Astronomy Earth & Planetary Sciences Education Environmental Science Social Sciences Other

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Journal : Tunas Geografi

 1 
Optimalisasi Foto Udara Unmanned Aerial Vehicle (UAV) Sebagai Media Pembelajaran Penginderaan Jauh Kristhoper Simanungkalit; Muhammad Ridha Syafii Damanik; Darwin Parlaungan Lubis
Tunas Geografi Vol 8, No 1 (2019): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v8i1.15507

Abstract

AbstractThis study aims (1) To find out how the accuracy of Unmanned Aerial Vehicle (UAV) aerial image quality using the Omission-Commission method. (2) How to use UAV aerial imagery as remote sensing learning media when viewed from the aspects of media feasibility, material worthiness, and student response. This research was conducted at the Medan State University Campus located at Jalan William Iskandar, Pasar V, Medan Estate Village, Medan North Sumatra. This location was chosen based on strategic location considerations for mapping. The results of this study indicate that the quality of the level of precision aerial photographs obtained from aerial photography results in the level of precision aerial photographs reaching above 95% with excellent categories, and aerial photographs obtained are more inclined towards omission which is influenced by the camera distortion factor , and the feasibility of UAV aerial photography learning media in terms of the aspects of the feasibility of the media achieving an assessment score of 85%, the feasibility aspects of the Material achieving an assessment score of 85% and, the results of the feasibility of instructional media based on material experts and media experts reach a score level of 85% and deserve to be used as a medium learning. The results of student responses obtained received an 89% assessment score, which results from the assessment of student responses that have been said to be good.Keywords: UAV, Remote Sensing, Unimed, Learning Media AbstrakPenelitian ini bertujuan (1) Untuk mengetahui bagaimana kualitas akurasi citra foto udara Unmanned Aerial Vehicle (UAV) dengan menggunakan metode Omisi-Komisi. (2) Bagaimana pemanfaatan citra foto udara UAV sebagai media pembelajaran penginderaan jauh bila di lihat dari aspek kelayakan media, kelayakan materi, dan respon mahasiswa. Penelitian ini dilaksanakan di Kampus Universitas Negeri Medan terletak di Jalan William Iskandar, Pasar V, Kelurahan Medan Estate, Medan Sumatera Utara. Lokasi ini dipilih atas pertimbangan lokasi yang strategis untuk melakukan pemetaan. Hasil penelitian ini menunjukkan bahwa Kualitas tingkat presisi foto udara yang didapatkan dari hasil pemotretan foto udara menghasilkan tingkat presisi foto udara mencapai diatas 95% dengan kategori sangat baik, dan foto udara yang didapatkan lebih condong ke arah omisi yang mana hal ini dipengaruhi oleh faktor distorsi kamera, dan Kelayakan media pembelajaran foto udara UAV ditinjau dari aspek kelayakan Media mencapai skor penilaian 85%, Aspek kelayakan Materi mencapai  skor penilaian 85% dan, hasil dari kelayakan media pembelajaran berdasarkan ahli materi dan ahli media mencapai tingkat skor 85% dan layak dijadikan sebagai media pembelajaran. hasil respon mahasiswa yang didapatkan mendapat skor penilaian 89% yang mana hasil dari penilaian respon mahasiswa sudah dikatakan bagus.Kata Kunci: UAV, Penginderaan Jauh, Unimed, Media Pembelajaran
Improving Community Skills in Making Processed Fish Products in Paluh Kurau Village, Deli Serdang, North Sumatra Muhammad Ridha Syafii Damanik; OK Sofyan Hidayat; Meilinda Suriani Harefa; Darwin Parlaungan Lubis
Tunas Geografi Vol 10, No 2 (2021): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v10i2.28706

Abstract

The purpose of this community service is to find and increase the income generate of Medan State University which has been designated as a Public Service Agency in 2018. When a government institution turns into a Public Service Agency, it will be required to be independent in financial management including in terms of income management. This community service activity is a continuation of the previous year, where the Department of Geography Education, has pioneered the sale of online fresh fish which is a source of income generation. In 2021, the business unit will develop its products not only in fresh fish products but also in processed fish products with high economic value. In addition, this activity aims to help partner community groups to produce processed fish products to be marketed in the Medan State University Business Unit.The stages carried out in this activity are to collaborate with partners. Furthermore, conducting a series of training and mentoring for partner groups so that they can produce processed fish products that are in accordance with standards so that they are worthy of being marketed. This training and mentoring process was carried out in Paluh Kurau Village, District of Perak, Deli Serdang Regency.The output of this activity is the availability of processed fish products which can increase the income of partner groups and become an income generator for Medan State University.Keywords: Business Unit, Processed Fishery, Income Generating
Analysis Changes in Mangrove Forest Cover Using Multi-Sensor Image in North Luwu District South Sulawesi 2015-2020 Maulana Abdul Hakim; Darwin Parlaungan Lubis; Meilinda Suriani Harefa; Muhammad Ridha Syafii Damanik; Ayu Suciani
Tunas Geografi Vol 11, No 2 (2022): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v11i2.41349

Abstract

Mangrove forest is one of the essential components of natural ecosystems. Mangrove forests have various essential functions, such as holding land sediments, tsunamis, and ocean waves, storing large amounts of carbon, and providing various other benefits for coastal and land areas. However, the conversion of mangrove forests has reduced and degraded mangrove land. Therefore, monitoring and conserving land changes in mangrove forests must be carried out to determine the effects on land ecosystems and coastal areas. Remote sensing has the spatial ability to analyze changes in mangrove ecosystems in coastal regions temporally because it has the advantage of using satellite imagery data. This study compares the classification method using multiple image sensors to analyze land cover changes in mangrove forests in North Luwu Regency, South Sulawesi, in 2015-2020. The technique used in this research is the classification of Object-Based Image Analysis (OBIA) and the variety of Maximum Likelihood. The results of Sentinel-1 image analysis using Maximum Likelihood provide information on changes in mangrove land cover during 2015-2020 with an area of 449.17 (Ha), while the results of Landsat 8 analysis using (OBIA) provide information on changes in mangrove land cover 596 (Ha).Keywords: Optics, Radar, OBIA, Maximum Likelihood, Mangrove
Co-Authors Afiati Zata Dini Ayu Suciani Charles Faucould Nahampun Dafa Rizky Prayoga Harefa, Meilinda Suriani Hidayat, OK Sofyan Jasman Jasman Kristhoper Simanungkalit M Taufik Rahmadi M Taufik Rahmadi Masri Ridwan, Masri Maulana Abdul Hakim Mbina Pinem Moh Khairul Amri Kamarudin Muhammad Ridha Syafii Damanik Muhammad Ridha Syafii Damanik Salma Huraini Saurlin Febriana Sari S Sendi Permana Sugiharto Sugiharto