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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Techno.Com: Jurnal Teknologi Informasi Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Jurnal Bisnis, Manajemen, dan Informatika Format : Jurnal Imiah Teknik Informatika JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika JRST (Jurnal Riset Sains dan Teknologi) Techne : Jurnal Ilmiah Elektroteknika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Riset Informatika Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Progresif: Jurnal Ilmiah Komputer Jurnal Pendidikan dan Konseling Systematics Scientific Journal of Informatics Jurnal Ilmiah Wahana Pendidikan Jurnal Sisfotek Global Jurnal Informatika Dan Tekonologi Komputer (JITEK) Innovative: Journal Of Social Science Research
Agung Susilo Yuda Irawan
Universitas Singaperbangsa Karawang
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Journal : Syntax Jurnal Informatika

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Identifikasi Website Phishing dengan Perbandingan Algoritma Klasifikasi Agung Susilo Yuda Irawan; Nono Heryana; Hopi Siti Hopipah; Dyas Rahma
SYNTAX Jurnal Informatika Vol 10 No 01 (2021): Mei 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Phishing merupakan salah satu kejahatan siber yang bersifat mengancam dan menjebak seseorang dengan cara memancing korban untuk secara tidak langsung memberikan informasi kepada penjebak. Sebagian besar phishing menggunakan link yang mengarah pada website palsu untuk menjebak target. Phishing berpotensi menimbulkan kerugian baik dalam hal privacy, eksploitasi data, bahkan kerugian finansial. Jumlah website phishing yang merugikan pun tumbuh sangat cepat. Maka salah satu upaya yang dapat dilakukan yaitu melakukan penerapan klasifikasi untuk dapat mendeteksi website phishing. Penelitian ini bertujuan untuk mengetahui performa terbaik dalam penerapan algoritme klasifikasi yaitu Support Vector Machine, Decision Tree, Random Forest, dan Multilayer Perceptron. Berdasarkan hasil penelitian, performa terbaik terdapat pada algoritme Multilayer Perceptron dengan tingkat akurasi mencapai 93.15% dan nilai AUC 0.976.
Artikel Implementasi Algoritma Best First Search untuk Pencarian Rute Terpendek pada Aplikasi Cerdas Pendaftaran Santri Baru: Aplikasi Cerdas Pendaftaran Santri Baru Herfandi Herfandi; Ulfatus Soleha; Agung Susilo Yuda Irawan; Kiki Ahmad Baihaqi; Reza Maulana
SYNTAX Jurnal Informatika Vol 11 No 01 (2022): Mei 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i01.6398

Abstract

Pesantren in Indonesia is a traditional Islamic educational institution that is able to exist until now. A less structured registration process allows errors and delays in the new santri registration process will be easy to occur. Pondok Pesantren Manbaul Ulum in carrying out the education administration process still uses conventional means this causes the service system used has not been efficient and the problem of dormitory limitations, registration regulations must be made in accordance with the distance zone of residence that has been determined. Therefore this study conducted the implementation of the best first search algorithm for the search of the shortest route on the new registration intelligent application. This research resulted in a new santri registration intelligent application by applying the best first search algorithm. The development method uses waterfall. Testing software with black box testing method with test case equivalence partitioning technique gets successful conclusions from various types of testing. With features for santri namely estimation data, home, instructions, contact us, register, login, fill out registration form, see verification, print proof of pass, and see the shortest tute, for admin setting school year, see registration, see registration accepted and rejected and see reports. As for the superadmin, crud admin data and see the report. This application is expected to help pesantren administration and prospective students see the route and support education in the Industrial 4.0 era.
Co-Authors Abdurahman Azis Lasawali Adi Rizky Pratama Ahmad Faizal Alif Al-Fadhilah Nur Wahyudin Anggun Lenteraningati Anissa Aidha Zulyani Apriade Voutama Arip Solehudin Asep Jamaludin Bagja Nugraha Bagja Nugraha Baihaqi, Kiki Ahmad Bintang Selviana Budi Setiawan Chaerur Rozikin Dadang Yusup Didi Juardi Diki Candra Permana Yuda Dyas Rahma E Haodudin Nurkifli Eddy Ryansyah Eko Purwirawansyah Elga Ramdani Euis Musyarofah Evi Karlina Ambarwati Febbyola Rezkika Fitria Septianingrum Garno, Garno Hafiz Firdaus Herfandi Herfandi Heryana, Nono Hopi Siti Hopipah Indra, Jamaludin Jamaludin Jamaludin Jaman, Jajam Haerul Kamal Prihandani Muhammad Faishal Muhammad Faishal Muhammad Farhan Fauzan Muhammad Rafi Ramdani Muhammad Samsul Ma'arif Novalia, Elfina Nur syifa Praditya Putri Utami Rangga Nur Baehaqi Reza Maulana Rini Mayasari Ryan Antono Saruni Dwiasnati Sukarna, Royan Habibie Sulistia Nurwinda Ulfatus Soleha Vira Kristianingrum Yanti Puspita Sari Yoga Junaedi