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All Journal Jurnal Buana Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak
Joni Alfian
Universitas Teknokrat Indonesia
Computer Science & IT Control & Systems Engineering Engineering Library & Information Science

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ANALSIS DAN PERANCANGAN KAMUS BAHASA ILMIAH TUMBUHAN BERBASIS ANDROID Joni Alfian
Jurnal Informatika dan Rekayasa Perangkat Lunak No 3 (2021): Volume 2, Nomor 3, 2021
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v2i3.1252

Abstract

The scientific name of living things, especially plants, is one of the things that is basically very interesting to learn and know, because the scientific name of living things provides an important role, among others with scientific names it will easily know the characteristics, relationships of relatives, and interactions of living things in the environment. Knowledge of plant classification has generally been taught to high school students and MIPA students or biology majors, but interest in learning about plant taxonomy is still low due to the source of information that is not yet widely available. Therefore, the development of learning media is needed one of them by building an android-based plant scientific language dictionary application that can be one of the alternative learning media for students and students. The algorithm applied is sequential search that performs search faster because the search process is already in order. That way the interest in learning students and students about the scientific language of plants can be encouraged by the spirit in learning by using this learning medium. Based on the research that has been done, the application of the scientific language dictionary of plants can be used by students, students and the public as a means of learning in understanding the scientific names on each plant that is equipped with the alphabetic menu a-z and plant categories and search features to make it easier for users to find plant names
Penerapan Algoritma Sequential Search pada Aplikasi Kamus Bahasa Ilmiah Tumbuhan Yuri Rahmanto; Joni Alfian; Damayanti Damayanti; Rohmat Indra Borman
Jurnal Buana Informatika Vol. 12 No. 1 (2021): Jurnal Buana Informatika Volume 12 - Nomor 1 - April 2021
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v12i1.4367

Abstract

 Abstract. Application of Sequential Search Algorithms in the Plant Scientific Language Dictionary Application. Scientific dictionaries such as plants dictionaries are thick and less attractive. Therefore, it is necessary to develop a scientific language dictionary application for plant which is attractive and can be accessed anytime and anywhere. The dictionary application is closely related to the search feature and the sequential search algorithm is used in the search feature at the application development. This algorithm performs the search by matching data in a row from all existing data. The application built had features such as a list of plants with scientific names equipped with A-Z alphabet menus, plant categories, and a search feature to make it easier for users to find the plant names. The results of the search speed performance test based on page load time with the microtime function show that sequential search algorithms can perform the searches quickly for relatively limited and not too much data.Keywords: Scientific Language Dictionary, Plant Dictionary, Sequential Search Abstrak. Kamus ilmiah seperti kamus ilmiah tumbuhan berbentuk tebal dan kurang menarik. Oleh karena itu, diperlukan pengembangan aplikasi kamus Bahasa ilmiah tumbuhan yang menarik dan dapat diakses kapanpun dan dimanapun. Aplikasi kamus akan berhubungan erat dengan pencarian dan algoritma sequential search digunakan sebagai fitur pencarian pada pengembangan aplikasi kamus bahasa ilmiah tumbuhan ini. Algoritma ini melakukan pencarian dengan mecocokan data secara beruntun dari seluruh data yang ada. Aplikasi yang dibangun memiliki fitur-fitur seperti daftar tumbuhan dengan nama ilmiah yang dilengkapi menu abjad A-Z ,  kategori tumbuhan, dan fitur pencarian untuk memudahkan pengguna dalam menemukan nama tumbuhan. Hasil pengujian kecepatan pencarian berdasarkan page load time dengan fungsi microtime menunjukkan bahwa algortima sequential search dapat melakukan pencarian dengan cepat untuk data yang relatif terbatas atau tidak terlalu banyak.Kata Kunci: Kamus Bahasa Ilmiah, Kamus Tumbuhan, Sequential Search
Co-Authors Damayanti, Damayanti Rohmat Indra Borman Yuri Rahmanto