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Subardin Subardin
Halu Oleo University
Computer Science & IT Control & Systems Engineering

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SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BANTUAN BIBIT IKAN KEPADA NELAYAN OLEH DINAS KELAUTAN DAN PERIKANAN DENGAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS : DINAS KELAUTAN DAN PERIKANAN KOTA KENDARI) Subardin Subardin; Sutardi Sutardi; Wa Impi Nur Santi
semanTIK Vol 1, No 2 (2015): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.585 KB) | DOI: 10.55679/semantik.v1i2.497

Abstract

Pengambilan keputusan merupakan bagian kunci dari eksekutif, manajer, karyawan, dan setiap manusia dalam kehidupan tak terkecuali dalam pengambilan keputusan untuk memilih calon penerima bantuan pada suatu instansi. Dinas Kelautan dan Perikanan kota Kendari merupakan sebuah instansi pemerintah yang memberikan bantuan bibit ikan kepada nelayan. Proses pemberian bantuan yang belum terkomputerisasi dan belum adanya standar perhitungan yang sesuai mengakibatkan perolehan hasil pemberian bantuan bibit yang cukup lama.Penelitian yang dilakukan dimaksudkan bagaimana untuk merancang dan membangun sebuah Sistem Pendukung Keputusan dengan metode profile matching untuk membantu penyeleksian terhadap nelayan calon penerima bantuan bibit ikan dari dinas Kelautan dan Perikanan kota Kendari yang bertujuan untuk menghasilkan rancangan aplikasi Sistem Pendukung Keputusan yang diharapkan dapat membantu pihak instansi dalam mengambil keputusan penentuan penerima bantuan bibit ikan yang tepat dan cepat.Hasil dari sistem ini menunjukan 27.76%. kesalahan relatif yang diperoleh dari selisih perbandingan perhitungan yang dilakukan secara manual dan setelah penerapan metode profile matching. Sehingga sistem yang telah dibuat dapat dikatakan layak digunakan sebab kesalahan relatifnya kurang dari 50%. Hal ini disebabkan Dinas Kelautan dan Perikanan kota Kendari belum menerapkan metode profile matching dalam seleksi penerima bantuan bibit ikan sehingga nilai yang diperoleh mempunyai selisih dengan penilaian sistem yang telah dibuat.Kata Kunci : Sistem Pendukung Keputusan, Profile Matching, Bantuan Bibit Ikan dan Perikanan, Kelautan.
APLIKASI SISTEM KEAMANAN BASIS DATA DENGAN TEKNIK KRIPTOGRAFI RC4 STREAM CIPHER Jumrin Jumrin; Sutardi Sutardi; Subardin Subardin
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.02 KB) | DOI: 10.55679/semantik.v2i1.715

Abstract

Database security is a very important aspect in an information system. A specific information is generally addressed to specific group. Therefore it is an important matter for a company to prevent information leak from a database so that the information contained in it does not fall to unauthorized party. Cryptography is an alternate solution that can be used to secure a database. One method that can be used to secure a database is by using encryption. The method used to secure a database is the RC4 Stream Cipher encryption because the method has advantages in processing speed and high security level. By using  Stream Cipher  encryption method to secure a  database, the information contained in it can only be accessed by authorized party. RC4 (Rivest code) Stream Cipher method is one of symmetric key algorithm in form of Stream Cipher that process unit or data input, message, or information. Research results show that a data in a  database  table can be encypted. The encryption and decryption process are faster and have high security level. Keywords— Cryptography, RC4 Stream Cipher, Encryption, Decryption
APLIKASI KAMUS BAHASA LATIN HEWAN DAN TUMBUHAN MENGGUNAKAN METODE BRUTE FORCE DAN FITUR AUTOCOMPLETE BERBASIS ANDROID Nur Imran Ruslan; Bambang Pramono; Subardin Subardin
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.897 KB) | DOI: 10.55679/semantik.v2i1.716

Abstract

Latin dictionary of animals and plants is a development of Android-based mobile application that allows users to search for words easily and quickly. This application allows users to quickly search for the meaning of the Latin animals and plants. The process that occurs in these applications include word similarity search using the search Brute Force. Input form Animal or Plant name is a string value that will be used as search parameters in the database. The test results Dictionary search using the Brute Force successfully at speeds of less than one second search time. In this test, is used six times a search in which three of the six search using  the Animal and Plant remainder using the word. Speed search process using Brute Force methods depend on the length of the word or (String) sought. Keywords— Android Dictionary, Dictionary of Animals and Plants, Brute Force
DETEKSI KEMIRIPAN SOURCE CODE PADA BAHASA PEMROGRAMAN JAVA MENGGUNAKAN METODE ANALISIS LEKSIKAL Holis Hermansyah; Bambang Pramono; Subardin Subardin
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.501 KB) | DOI: 10.55679/semantik.v2i1.840

Abstract

Programming Laboratory of Informatics Engineering Department of Engineering Faculty, Halu Oleo University is a learning place for college students majoring in informatics to follow programming class that become one of the standard to determine  the student’s level of understanding in creating a program.    Similarity detection method using Lexical analysis can be used to convert the programming code  into an unique  token. This  token  later used to identify the structure of a program that is being examined. After that, the  token  that already formed from two different  source  codes will be sorted alphabetically before entering the string matching process by using  arrays. The string matching process will do the matching based on the position of each  array. The more the  similarities of the structure and the program codes, the more likely the code represented as plagiarism. The percentage value resulting from the token matching process later will be used as reference to determine the percentage of plagiarism in the program. If the similarities percentage greater than 70%, the examined  source  codes can be considered as plagiarism, but if it less than 70% the examined source codes will be not considered as plagiarism. Keywords— Source Code, Lexical Analysis, Java, Token, Plagiarism.
Co-Authors Bambang Pramono Holis Hermansyah Jumrin Jumrin Nur Imran Ruslan Sutardi Sutardi Wa Impi Nur Santi