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All Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Journal of Software Engineering and Information System (SEIS) Jurnal Teknologi Ilmu Komputer
Aprilia Monica Sari
Universitas Pendidikan Ganesha
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Other

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PENGUKURAN EFEKTIVITAS SERANGAN SQL INJECTION PADA WEBSITE DENGAN MENGGUNAKAN TOOLS JSQL, HAVIJ, DAN THE MOLE Aprilia Monica Sari; Trihana Santhi; Dewa Ketut Alit Maha Putra; Muhamad Bintang Haekal; I Made Edy Listartha; Gede Arna Jude Saskara
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 1 (2023): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i1.905

Abstract

Along with current technological developments, security for data information residing on websites is very vulnerable to crimes in the internet world such as attacks on security holes in the database layer or often known as SQL Injection. SQL Injection attack is a method to insert SQL commands as input through an application, namely Kali Linux, in order to gain access to the database. This attack can find out usernames, passwords, and other data that is in the database. So that the SQL Injection attack is one of the most popular attacks and is often used to take advantage of security holes in the system because of how easy it is to use it. This study aims to test the level of effectiveness of SQL Injection attacks using the tools in it against a website. Testing the effectiveness is done by doing a comparison between the three tools that are in SQL Injection. The results of the research on the effectiveness of the tools in SQL Injection are the accuracy of database search times and the accuracy of information from the database.
Pengembangan Sistem Informasi To Do List Berbasis Website dalam Meninjau Kegiatan Mahasiswa Undiksha Trihana Santhi; Aprilia Monica Sari; Dewa Ketut Alit Maha Putra; I Gede Ciptha Aphila Diptha; Kadek Pebriawan; Muhamad Bintang Haekal; Gede Surya Mahendra
Jurnal Teknologi Ilmu Komputer Vol. 1 No. 1: Desember 2022
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.235 KB) | DOI: 10.56854/jtik.v1i1.34

Abstract

Pada umumnya untuk membuat daftar tugas-tugas yang harus dikerjakan masih menggunakan cara konvensional yang cukup menghabiskan waktu yang banyak serta keefektifan yang dikerjakan terbilang cukup kurang. Dari permasalahan tersebut solusi yang dapat ditawarkan adalah pembuatan sistem informasi To do list berbasis website. Aplikasi To do list berbasis website merupakan aplikasi yang dapat dimanfaatkan untuk mencatat tugas-tugas yang harus dikerjakan, dan diselesaikan. Diurutkan berdasarkan skala prioritas dan berdasarkan waktu yang sudah ditentukan. Aplikasi To do list berbasis website dikembangkan untuk membantu mengingat tugas-tugas yang harus dikerjakan, dan kegiatan yang harus dilakukan. Pengembangan sistem pada aplikasi To do list berbasis website menggunakan waterfall model dimana akan dilakukan tahap perancangan sistem, analisis sistem, desain sistem, pengkodean sistem, dan implementasi sistem. Bahasa pemrograman yang digunakan adalah kolaborasi antara HTML, PHP dan MySQL. Hasil dari aplikasi To do list berbasis website ini adalah sebuah sistem yang akan dapat membantu untuk mencatat tugas-tugas sehingga pengerjaan tugas dapat secara turut, tidak bertabrakan, dan tidak akan lupa terhadap tugas yang dimilikinya.
IMPLEMENTASI BUSINESS INTELLIGENCE MENGGUNAKAN TABLEAU UNTUK VISUALISASI PREDIKSI KELULUSAN MAHASISWA Trihana Santhi; Aprilia Monica Sari; Dewa Ketut Alit Maha Putra; Gede Surya Mahendra; Made Putri Ariasih
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 3 No. 2 (2023)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v3i2.5436

Abstract

Prediction of student graduation plays an important role in college programs to help students stay high-achieving and graduate on time, as well as produce the best graduates. Information about the number of students graduating in college plays a significant role in decision-making through visual representation of data. This article aims to describe data on student graduation predictions in college through visual representation using Business Intelligence and Tableau tools with data from www.kaggle.com. The results of this research are presented in the form of a dashboard that includes GPA, academic achievement, organizational involvement, and gender in college, which can be used to support decision-making. Visualizing data through analysis using an interactive Tableau dashboard is expected to make information more engaging and easily understandable. Predicted students who graduate on time have adequate GPA, participate in campus activities, and are mostly male.
Co-Authors Dewa Ketut Alit Maha Putra Gede Arna Jude Saskara Gede Surya Mahendra I Gede Ciptha Aphila Diptha I Made Edy Listartha Kadek Pebriawan Made Putri Ariasih Muhamad Bintang Haekal Trihana Santhi