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All Journal Tunas Geografi JUPIIS: Jurnal Pendidikan Ilmu-ilmu Sosial JURNAL PENGABDIAN KEPADA MASYARAKAT Georafflesia : Artikel Ilmiah Pendidikan Geografi Jurnal Samudra Geografi Jurnal Penelitian Geografi (JPG) Mudabbir: Journal Research and Education Studies Mutiara: Jurnal Penelitian dan Karya Ilmiah Bagimu Negeri : Jurnal Pengabdian Kepada Masyarakat
Harefa, Meilinda Suriani
Universitas Negeri Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Tunas Geografi

 1 
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 Ahmad Hidayat Ahmad Hidayat Amri S Andre K. Ayu Suciani Bobby Josep Triady Pangaribuan Damanik, Muhammad Ridha Darwin Parlaungan Lubis Dhea Zuhrika Ellma Aggresia Br Purba Fadila Khoiri Gadis Salsabila Helen Sinuraya Hermawan Syahputra Hidayat, OK Sofyan Ihda Anisa Irvan Syahputra M. Hayqal Adibya M. Reza Fahlepi Daulay M. Ridha Damanik Maulana Abdul Hakim Mirza Yolanda Muhammad Fadli Muhammad Hakim Tijaman Muhammad Ridha Habibi Z Muhammad Ridha Syafii Damanik Muhammad Ridha Syafii Damanik Nurmala Berutu Restu Restu Ruth Ellyana Ganda Ganda Shafira Dwi Annisa Sriadhi Sriadhi Tri Wandani Lase Via Adrevi Salsabila Wanda Nelwita Damayani