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EFEKTIVITAS PELAYANAN PERANGKAT DESA OLEH KEPEMIMPINAN KEPALA DESA (DATUK PENGHULU) Hardiansyah, Muhammad; Nasution, Muhammad Arif; Matondang, Armansyah
PERSPEKTIF Vol 8, No 1 (2019): Perspektif Januari
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v8i1.2538

Abstract

This study aims to determine the extent of the Leadership of the Village Head (Datuk Penghulu) on the Effectiveness of Village Service Services in the Community of Aceh Tamiang District Health Village in 2017. Leaders can influence morale, job satisfaction, security, work quality and especially the level of achievement of an organization.  The ability and skills in direction are important factors for the effectiveness of an organization. By looking at several aspects to determine the effect of Leadership and Measurement of Service Effectiveness in the Health Village of Karang Baru Subdistrict, Aceh Tamiang Regency, namely: loyalty, Decision Making Communication, Responsibility and Obedience of leaders to regulations. in this study using a qualitative descriptive method, the location of the study was conducted in the Health Village of Karang Baru sub-district, Aceh Tamiang Regency. Data collection techniques are interviews, observation and documentation, it can be concluded that the Leadership of the Village Head (Datuk Penghulu) Against the Effectiveness of Service of Village Devices in the Community of Aceh Tamiang District Health Village in 2017 has been good. 
PERAN MASYARAKAT PESISIR TERHADAP PENGELOLAAN TERUMBU KARANG DI KAWASAN KONSERVASI PERAIRAN PESISIR TIMUR PULAU WEH Najmi, Nurul; Suriani, Mai; Rahmi, Mira Mauliza; Islama, Dini; Nasution, Muhammad Arif
JURNAL PERIKANAN TROPIS Vol 7, No 1 (2020)
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jpt.v7i1.1884

Abstract

The role of coastal communities in the preservation of coral reefs is an important thing to supporting the sustainable management of coastal areas. This article is objected to determine the coastal communities’ role in the management of coral reefs in water conservation areas and the level of knowledge of the coastal communities about the importance of protecting coastal ecosystems. Data were collected by distributing questionnaires, direct interviews and Focus Group Discussions (FGD) and the results were elaborated based on descriptive analysis. The results showed that the community had begun to realize how important it is to protect coral reefs for the sustainability of fisheries and other benefits of coral reefs. Healthy reefs provide many benefits to people including improving the economy of the community and increasing tourists. Community awareness is shown by their participation in activities that lead to the conservation and management of coral reefs such as transplantation of coral reefs, beach cleaning, banner making, tree planting and provision of trash bins along the coast. Those who knew the benefits and functions of coral reefs both for increasing fish populations, increasing tourists and improving the economy of the community, as well as other benefits of coral reefs for the coastal areas, was 74.5%. The role of community in the aspects of coastal and marine ecosystems management was high, as many as 72% of the community participate in every coastal and marine ecosystem management activity carried out by the government and local NGOs.
PEMETAAN EKOSISTEM PADANG LAMUN BERESOLUSI TINGGI DENGAN METODE CLOSE RANGE PHOTOGRAMMETRY Nasution, Muhammad Arif
JURNAL PERIKANAN TROPIS Vol 6, No 2 (2019)
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jpt.v6i2.2182

Abstract

Several remote sensing methods using satellite imagery and acoustic instruments have often been used in mapping aquatic ecosystems but expensive and need hight expertise. This method used in this study is quite new in mapping aquatic ecosystems, but has often been done in mapping terrestrial areas. This method produces clear high-resolution digital data using optical devices with high efficiency. This research was carried out in Pulau Matahari, Kepualauan Banyak, Aceh Singkil for 3 (three) months in the field and 2 (two) months of data processing. This research data is in situ primary data taken by taking optical images continuously from the surface of the water by swimmer using a waterproof digital camera and then processed with PhotoScan software. The results of this study are high-resolution digital image data that can be used to make seagrass ecosystems map at the study site, assess ecosystem status, identify seagrass species ( 4 species), density (St1:103,9 ind/m2 and St2:128 ind/m2) and seagrass cover (57%– 61%).
Analisis Keragaman Agronomi Tanaman Jagung Buah Maulana, Zulkifli; Andilolo, Jelsilah Putri; Nasution, Muhammad Arif; Abri, Abri; Amiruddin, Amiruddin
Jurnal Ilmiah Ecosystem Vol. 23 No. 2 (2023): Ecosystem Vol. 23 No 2, Mei - Agustus Tahun 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/eco.v23i2.3460

Abstract

Tanaman jagung Zea mays L. merupakan salah satu komoditas penting dalam sektor pertanian yang memiliki peran strategis dalam memenuhi kebutuhan pangan dan bahan baku industri di Indonesia. Peningkatan keragaman agronomi pada tanaman jagung menjadi kunci untuk meningkatkan produktivitas dan adaptasi tanaman terhadap berbagai kondisi lingkungan.Oleh karena itu, penelitian ini bertujuan untuk menganalisis keragaman agronomi pada tanaman Jagung Buah, dengan fokus pada karakteristik pertumbuhan seperti tinggi tanaman, diameter batang, jumlah helai daun, panjang daun, panjang buah, diameter buah, dan berat buah. Penelitian ini dilakukan di Desa Bontoramba, Kabupaten Gowa, Sulawesi Selatan, dari Mei hingga Juli 2023. Data dikumpulkan dalam lima periode pengamatan selama masa pertumbuhan tanaman, dengan analisis statistik menggunakan perangkat lunak SPSS. Data pengamatan dianalisis menggunakan analisis ragam cluster dengan metode K-means. Hasil analisis dikelompokkan dalam tiga kelompok cluster, yaitu kelompok pertumbuhan tinggi, sedang, dan rendah, dengan karakteristik agronomi yang berbeda. Kelompok pertumbuhan tinggi memiliki tinggi tanaman tertinggi, jumlah daun yang banyak, dan berat buah paling tinggi. Kelompok pertumbuhan sedang berada di antara kedua kelompok lainnya dalam hal karakteristik agronomi, sementara kelompok pertumbuhan rendah memiliki karakteristik pertumbuhan paling rendah.Selain itu, analisis klaster hierarkis juga dilakukan untuk menggambarkan hubungan antar kelompok tanaman jagung. Hasilnya menunjukkan sejumlah kelompok berdasarkan tingkat kesamaan karakteristik agronomi, yang memberikan gambaran yang lebih jelas tentang keragaman dalam pertumbuhan tanaman jagung buah.Penelitian ini diharapkan dapat memberikan wawasan yang lebih mendalam tentang keragaman agronomi pada Jagung Buah dan berkontribusi dalam pengembangan varietas unggul serta praktik pertanian yang lebih efektif Corn (Zea mays L.) is one of the crucial commodities in the agricultural sector, playing a strategic role in meeting both food and industrial raw material needs in Indonesia. Increasing agronomic diversity in corn plants is key to enhancing productivity and their adaptation to various environmental conditions. Therefore, this study aims to analyze agronomic diversity in Sweet Corn plants, focusing on growth characteristics such as plant height, stem diameter, leaf count, leaf length, ear length, ear diameter, and ear weight. This research was conducted in Bontoramba Village, Gowa Regency, South Sulawesi, from May to July 2023. Data were collected during five observation periods throughout the plant's growth cycle, with statistical analysis using SPSS software. The observation data were analyzed using cluster analysis with the K-means method, resulting in three clusters: high, medium, and low growth. The high-growth cluster exhibited the tallest plants, the highest leaf count, and the heaviest ears. The medium-growth cluster fell in between the other two clusters regarding agronomic characteristics, while the low-growth cluster had the lowest growth characteristics. Additionally, hierarchical cluster analysis was conducted to depict the relationships among corn plant groups, revealing several groups based on agronomic characteristic similarity. This provides a clearer picture of agronomic diversity in Sweet Corn growth. This research is expected to provide deeper insights into agronomic diversity in Sweet Corn and contribute to the development of superior varieties and more effective agricultural practices