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Analisis Komposisi dan Struktur Vegetasi Hutan (Studi Kasus: Taman Wisata Alam Camplong dan Taman Wisata Alam Baumata Kabupaten Kupang) Ika Krisnawati; Aah Ahmad Almulqu; Adrin Adrin; Emi Renoat
Florea : Jurnal Biologi dan Pembelajarannya Vol 9, No 1 (2022)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/florea.v9i1.12713

Abstract

This study aims to analyze the species composition and vegetation structure in the succession process in the Natural Recreation Park (NRP) of Kupang District, East Nusa Tenggara Province. Data collection using vegetation analysis on two NRP namely Baumata and Camplong. Research shows that the highest important value index of the seedling level is krinyu (Chromolaena odorata L.) in Baumata NRP (115 %), sapling is johar (Senna siamea) in Camplong NRP (141 %), and for pole and tree are kesambi (Schleichera oleosa, Merr) and jati (Tectona grandis linn. F) on Baumata NRP about 135,5% and 137,1%, respectively. A high value of seedling density indicates that all research location in the succession process.
Pengaruh Peran dan Motivasi Penyuluh Pertanian Terhadap Inovasi Teknologi Budidaya Tanaman Padi Sawah di Kecamatan Kupang Timur, Kabupaten Kupang Provinsi Nusa Tenggara Timur Musa Frengkianus Banunaek; Wely Yitro Pello; Emi Renoat
Jurnal Penyuluhan Vol. 15 No. 2 (2019): Jurnal Penyuluhan
Publisher : Department of Communication and Community Development Sciences and PAPPI (Perhimpunan Ahli Penyuluhan Pembangunan Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.222 KB) | DOI: 10.25015/penyuluhan.v15i2.27732

Abstract

This research aimed to find out rice plant technology innovation level in East Kupang Sub District, to find out the effect of extension agent’s role and job motivation on rice plant technology innovation, and to find out the simultaneous effect of extension agent’s role and motivation on rice plant technology innovation. Data analysis was conducted using multiple regression analysis. The result of research found that Rice Plant Cultivation Technology Innovation (Y) in East Kupang Sub District belonged to medium category (78.33%); it is indicated with the aspect of rice plant cultivation technology innovation dissemination by extension agent of 74.50% only and the aspect of farmers’ participation in wet-rice cultivation technology of 66.17%. The agricultural extension agent’s role factor belonged to high category (50.00%), while agricultural extension agent’s motivation factor belonged to medium category (60.00%). Agricultural Extension Agent factor affected significantly the rice cultivation technology innovation (Y), as indicated with three aspects: extension agent’s role as educator and facilitator, role as analyzer and planner, and role as evaluation expert of activity and education result. Agricultural extension agent’s motivation factor significantly affected the rice cultivation technology innovation (Y), as indicated with three aspects: extension agent’s motivation on basic need, status/social need, and work performance need. Extension agent’s role and motivation simultaneously affected rice plant technology innovation with Fstatistic value of 13.11.
PEMETAAN POTENSI BAHAYA LONGSOR DI DAS MANIKIN DENGAN MENGGUNAKAN ANALISIS SISTEM INFORMASI GEOGRAFIS Yofris Puay; Luisa Moy Manek; Melkianus Pobas; Yakub Benu; Emi Renoat; Yudhistira A. N. R. Rua Ora
Partner Vol 27, No 2 (2022): Edisi November 2022
Publisher : Politeknik Pertanian Negeri Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35726/jp.v27i2.1044

Abstract

This research was conducted in order to understand the potential of landslide hazards in the Manikin Watershed and to map the slide hazards so that they can be used as a reference in conducting landslide disaster mitigation. The method used was scoring which was based on the Regulation of Minister of Public Works Number 22 /PRT/M/2007 about Guidelines for Spatial Planning for Landslide Disaster Prone Areas, and the parameter used were soil type, geological formation, rainfall, land use, and slopes. The results of the research showed that the landslide potential in the Manikin Watershed is dominated by Low Landslide Class which is 6,924.703 Ha in the area or 54.912 %. The next is the Medium Landslide Class which covers an area of 3,881.911 Ha or 30.783%, the High Landslide Class covers an area of 1,758.058 Ha or 13.941%, and the Very High Landslide Class covers an area of 45.96 Ha or 0.364%.  Keywords: Mapping, Landslide, Manikin Watershed, Geographic Information System (GIS) 
APPLICATION OF A REALISTIC MATHEMATICS LEARNING APPROACH TO IMPROVE STUDENTS' NUMERACY LITERACY ON DATA AND UNCERTAINTY CONTENT Sri Imelda Edo; Emi Renoat
International Conference on Education, Science, Technology and Health (ICONESTH) 2023: ICONESTH
Publisher : International Conference on Education, Science, Technology and Health (ICONESTH)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/iconesth.vi.278

Abstract

This research aims to increase the Numeracy literacy of Agribusiness and Fisheries students on data and uncertainty content through the application of the PMRI learning approach in the context of fisheries production at PPI Oeba Kupang. The research method used is the Classroom Action Research Method (PTK). This research was carried out in the fisheries and marine department of the Agribusiness and Fisheries study program. The research subjects consisted of all 55 semester 1 students of the 2023/2024 academic year of the AGP study program. Based on the results of data analysis, it was found that the application of the PMRI Learning approach in the context of fisheries production at PPI Oeba Kupang was able to improve student learning outcomes regarding data and uncertainty content where the percentage of students who passed the classical completion standard continued to increase, from 50.90% in cycle 1, 72.72% in the second cycle, and 92.72% in the third cycle. 82.72% of students are categorized as having very high learning outcomes, and 82.13% of students are in the very high activeness category.