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All Journal Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Jurnal Ilmu Komputer dan Informatika
Gustiana Putri
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Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Mathematics

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Catch And Composition Of Tuna Longline Landed On Bungus Fishing Port Gustiana Putri; Arthur Brown; Bustari Bustari
Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Vol 5 (2018): Edisi 2 Juli s/d Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan

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ABSTRACT This research was conducted on juni 2018 in  Bungus samudera fishing port. The purpose of this research was to know the composition of main catch and by-catch tuna longline and hook rate of tuna longline based at Bungus samudera fishing port. The method used in this research is survey method. The data analysis  using composition analysis and hook rate. The using data are catched of longline data on 2015-2016 in  Bungus samudera  fishing port.  From this research obtained of main catch as much 4 spesies consists of Big eye tuna, Madidihang, Albakor and Blue fin tuna and by-catch as much 16 spesies obtained of Setuhuk loreng, setuhuk hitam, pedang, mackerel, angelfish, lisong, skipjack tuna, lemadang, mackerel tuna, marlin fish, meka fish, todak fish, stingray, and shark. Hook rate obtained of main catch in this research are Albakor 0,05, Bigeye tuna 0,12, Madidihang 0,27 and Blue fin tuna 0,01. This hook rate was so little or decline who indication happening of exploitation in Samudera Hindia. Keyword: longline, hook rate, composition of catc
Implementasi MIT App Inventor untuk Aplikasi Translator Suara ke Teks di Platform Android Gustiana Putri; Sularno
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 1 No. 1 (2024): Jurnal Ilmu Komputer dan Informatika
Publisher : GLOBAL SCIENTS PUBLISHER

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MIT App Inventor, developed by the Massachusetts Institute of Technology (MIT), is an innovative platform for creating Android applications without requiring complex programming skills. The platform is popular for its user-friendly interface and the ability to quickly develop various mobile applications, such as a voice-to-text Translator. Utilizing voice recognition technology and Speech To Text (STT), MIT App Inventor enables users to convert speech into text and translate it into other languages. Beyond facilitating teaching and learning with its intuitive interface, the platform introduces basic programming concepts to students from diverse backgrounds, promoting digital inclusion and supporting innovation in mobile app development.
Co-Authors Arthur Brown Bustari Bustari Sularno