Claim Missing Document
Check
Articles

Found 3 Documents
Search

ANALYSIS OF CATCH PRODUCTIVITY BASED ON DIFFERENCES IN BAGAN SIZE AT UPTD PPP REGION 1 CAROCOK TARUSAN, WEST SUMATRA PROVINCE Ardelia, Icha Dewi; Ramadan, Fauzan; Heltria, Septy; Ramadhani, Farhan; Afriani, Afriani; Alwi, Yun
Asian Journal of Aquatic Sciences Vol. 7 No. 3 (2024): December
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ajoas.7.3.343-348

Abstract

Carocok Tarusan Fishing Port is one of the fishing ports in West Sumatra Province and is a place for fishing activities in Pesisir Selatan Regency with high productivity. Factors that affect the productivity of fishermen include social and economic factors, such as the amount of capital, number of ships, number of workers, distance traveled at sea, and experience. The fishing fleet commonly used is Bagan, with as many as 171 units. Bagan ships in the Carocok Tarusan are dominated by ships measuring ≤30 GT, as many as 162 ships, while those measuring >30 GT are nine ships widely used by fishermen in the Carocok Tarusan Waters are ships measuring ≤30GT. This study aimed to determine the productivity of Bagan Perahu catches based on differences in ship size. This study was conducted from July 2023 to August 2023. The method used in this study was the survey method, with direct observation in the field, conducting interviews with fishermen, and recording the catch using a bagan ship. The types of fish caught using Bagan are Anchovi, Mackerel Scad, and Mackerel Tuna (main catch). Peperek fish, skipjack tuna, Indian Mackerel, Selar fish and Squid (bycatch). Based on the study's results, it can be concluded that in the waters of the Carocok Tarusan, Anchovies are the most commonly caught catch using a boat lift net. Ships measuring 1-10 GT have a higher productivity value than ships measuring 11-20 GT and ships measuring 21-30 GT. With a correlation value (R) approaching 1, the relationship between the dependent variable and the independent variable is stated to be very strong. Meanwhile, the results of multiple linear regression show that 81.14% is influenced by the independent variables (trip, ship size (GT), crew, fuel, and logistics).
Perbandingan Akurasi Jarak Potret Untuk Pengenalan Jenis Bibit Mangga Metode JST-PB Dan Fitur GLCM Ramadhani, Farhan; Gasim; Nazori, Nazori
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2303

Abstract

Penelitian ini bertujuan untuk membandingkan tingkat akurasi dalam mengenali jenis bibit mangga berdasarkan tekstur urat daun menggunakan metode Jaringan Syaraf Tiruan Propagasi Balik (JST-PB) dan fitur Gray Level Co-occurrence Matrix (GLCM). Identifikasi jenis bibit mangga menjadi tantangan karena variabilitas genetik yang tinggi, yang mempengaruhi kemampuan dalam mengenali bibit mangga secara otomatis. Dalam penelitian ini, citra daun mangga diambil dengan tiga variasi jarak potret (5 cm, 10 cm, dan 15 cm) untuk menilai pengaruh jarak terhadap akurasi pengenalan. Proses pertama dilakukan dengan ekstraksi tekstur urat daun menggunakan GLCM, yang mengubah citra RGB menjadi citra grayscale dan mengambil empat fitur utama (kontras, homogenitas, korelasi, dan energi). Setelah itu, model JST-PB diterapkan untuk melatih jaringan saraf dengan menggunakan data citra yang telah diproses. Hasil penelitian menunjukkan bahwa jarak potret 15 cm menghasilkan akurasi tertinggi, yaitu 34%, dengan 22 dari 64 citra uji berhasil dikenali dengan benar. Jarak potret 5 cm dan 10 cm menunjukkan akurasi yang lebih rendah, masing-masing 23% dan 17%. Penggunaan satu hidden layer dengan 10 neuron dalam JST-PB terbukti memberikan performa terbaik pada jarak potret 15 cm. Penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan akurasi pengenalan bibit mangga secara otomatis, serta memberikan wawasan mengenai pengaruh jarak potret dalam aplikasi pengolahan citra pertanian.
Online Learning Information System Design Using Zachman Framework (Case Study: LMS Gajayana University Malang) Ramadhani, Farhan; Maulanaputra, M. Farhan
International Journal of Multidisciplinary Applied and Science Research Vol. 1 No. 05 (2025): International Journal of Multidisciplinary Science and Applied Research (IJOMA
Publisher : oneamd.com

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of information technology has encouraged educational institutions to adopt online learning system to improve the effectiveness and efficiency of teaching and learning process. Gajayana University Malang as one of the private universities in Indonesia has implemented Learning Management System (LMS) as a means of supporting online learning. However, to ensure that the system runs optimally and is well integrated within the institution, a comprehensive information system design is required. This research aims to design an online learning information system using the Zachman framework that is able to describe the system from various stakeholder perspectives, such as planners, owners, designers, and implementers. The research method used is case study, with data collection through observation, interview, and documentation on LMS of Gajayana University Malang. The result of this research is an online learning information system blueprint structured based on six perspectives and six focuses in Zachman Framework. This blueprint is expected to be a reference in developing and evaluating online learning systems that are more effective, efficient, and aligned with institutional needs.