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All Journal Jurnal Simetris Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Register: Jurnal Ilmiah Teknologi Sistem Informasi International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Sains dan Informatika Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Information Systems and Informatics Jurnal Teknologi Informatika dan Komputer Djtechno: Jurnal Teknologi Informasi
Usman Ependi
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Physics

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Journal : Scientific Journal of Informatics

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Abstract Keyword Searching with Knuth Morris Pratt Algorithm Ependi, Usman; Oktaviani, Nia
Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i2.9797

Abstract

This research was conducted to answer the problems of researchers for finding publication or papers that suitable with their topics. In this research was developed software for searching abstract keyword using Knuth Morris Pratt algorithm to answer the problems of researchers. Waterfall model used to develop abstract keywords searching software as tools development that has five phases, namely communication, planning, modeling, construction and deployment. The software was developed can display search results effectively and efficiently according to the enter search keywords, it can see while search results are shown is in case sensitive. The software is also tested; the testing process is conducted by functional observation with black box testing approach, Observation results while testing is conducted show the software running suitable with expected or 100% same with entered keyword, so worthy to be used as one of the tools of researchers searching articles.
Model for Identification and Prediction of Leaf Patterns: Preliminary Study for Improvement Muzakir, Ari; Ependi, Usman
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.30024

Abstract

Purpose: Many studies have conducted studies related to automation for image-based plant species identification recently. Types of plants, in general, can be identified by looking at the shape of the leaves, colors, stems, flowers, and others. Not everyone can immediately recognize the types of plants scattered around the environment. In Indonesia, herbal plants thrive and are abundantly found and used as a concoction of traditional medicine known for its medicinal properties from generation to generation. In the current Z-generation era, children lack an understanding of the types of plants that benefit life. This study identifies and predicts the pattern of the leaf shape of herbal plants. Methods: The dataset used in this study used 15 types of herbal plants with 30 leaf data for each plant to obtain 450 data used. The extraction process uses the GLCM algorithm, and classification uses the K-NN algorithm. Result: The results carried out through the testing process in this study showed that the accuracy rate of the leaf pattern prediction process was 74% of the total 15 types of plants used. Value: Process of identifying and predicting leaf patterns of herbal plants can be applied using the K-NN classification algorithm combined with GLCM with the level of accuracy obtained.
Abstract Keyword Searching with Knuth Morris Pratt Algorithm Ependi, Usman; Oktaviani, Nia
Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i2.9797

Abstract

This research was conducted to answer the problems of researchers for finding publication or papers that suitable with their topics. In this research was developed software for searching abstract keyword using Knuth Morris Pratt algorithm to answer the problems of researchers. Waterfall model used to develop abstract keywords searching software as tools development that has five phases, namely communication, planning, modeling, construction and deployment. The software was developed can display search results effectively and efficiently according to the enter search keywords, it can see while search results are shown is in case sensitive. The software is also tested; the testing process is conducted by functional observation with black box testing approach, Observation results while testing is conducted show the software running suitable with expected or 100% same with entered keyword, so worthy to be used as one of the tools of researchers searching articles.
Co-Authors Ade Putra Ahmad, Nahdatul Akma Antoni, Darius Ari Muzakir Ari Wibowo Ariandi, Muhamad Arjun, Jennifer Aswadi, M Berlianti, Marutha Edi Surya Negara Febriyanti Panjaitan Ferdiansyah Ferdiansyah Firamon Syakti, Firamon Haidar Mirza, A. Irwansyah Irwansyah Khansa, Ainna Kisworo, Marsudi Wahyu Kurniawan, Tri Basuki Mikko, Mikko Muhammad Haikal Muhammad Izman Herdiansyah Mukmin, Chairul Novaria Kunang, Yesi Novifika, Seva Nurwijayanti Nyimas Sopiah Oktaviani, Nia Oktaviani, Nia pratama, rianda Purwaningtias, Fitri Sabeli Aliya Suyanto Suyanto Tata Sutabri Tri Basuki Kurniawan Valdo, Muhammad Widya Cholil Wulandari, Intan Fitriana Yesi Novaria Kunang Zaid Amin, Zaid