Journal of Internet and Software Engineering最新文献

Enriching Grammatical Understanding of Using Japanese Part of Speech in Dokkai Learning with the AI-Powered Oyomi Application 利用人工智能驱动的 Oyomi 应用程序，在独角鲸学习中丰富对日语语篇的语法理解

Journal of Internet and Software Engineering Pub Date : 2024-06-14 DOI: 10.47134/pjise.v1i2.2617

Nisrina Ishmah Mahira, Iswi Nur Pratiwi, Evlyn Jane Putri, Sevia Dwi Yanti, Najla Putri Afifah, Daffala Viro Hidayat, Husni Mubarok Ramadhan, Humannisa Rubina Lestari

{"title":"Enriching Grammatical Understanding of Using Japanese Part of Speech in Dokkai Learning with the AI-Powered Oyomi Application","authors":"Nisrina Ishmah Mahira, Iswi Nur Pratiwi, Evlyn Jane Putri, Sevia Dwi Yanti, Najla Putri Afifah, Daffala Viro Hidayat, Husni Mubarok Ramadhan, Humannisa Rubina Lestari","doi":"10.47134/pjise.v1i2.2617","DOIUrl":"https://doi.org/10.47134/pjise.v1i2.2617","url":null,"abstract":"This research focuses on the impact of the Oyomi application on the comprehension of Japanese word classes (part of speech) and sentence structures. The primary issue addressed is the need for efficient and effective language learning tools. The objective is to explore the role of artificial intelligence (AI) within the application in enhancing Dokkai learning. The methodology encompasses a comprehensive analysis of the two principal features contributing to Dokkai learning, the utilization of AI technologies, and a comparison between traditional learning vs AI-powered mobile learning methods. Data collection involved simple linear regression statistical analysis using an F-test and correlation coefficient to gauge the relationship between the usage of the AI-powered Oyomi application and the comprehension of word classes in Dokkai learning. The F test results of 0.01 < 0.05 indicate a significant contribution and a correlation coefficient of 0.8 means the strength of the relationship is very strong. These findings show that AI, when integrated into language learning applications like Oyomi, can provide a more efficient and effective learning experience, especially in Japanese reading comprehension.","PeriodicalId":504384,"journal":{"name":"Journal of Internet and Software Engineering","volume":"23 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141341663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Penipuan Penambah Followers Instagram: Analisis Serangan Phising dan Dampaknya pada Keamanan Data Instagram 关注者骗局：分析网络钓鱼攻击及其对数据安全的影响

Journal of Internet and Software Engineering Pub Date : 2024-06-09 DOI: 10.47134/pjise.v1i4.2672

Muhammad Arif Bagus Dewanto, M. Fathurrahman, Danar Restu Firdaus, Aep Setiawan

引用次数: 0

Analisis Keamanan Media Sosial terhadap Serangan Phising Online menggunakan Metode Zphisher dan Social Engineering Toolkit 使用 Zphisher 方法和社交工程工具包分析社交媒体安全防范网络钓鱼攻击的情况

Journal of Internet and Software Engineering Pub Date : 2024-06-06 DOI: 10.47134/pjise.v1i4.2641

Khairunnissa Zahran Ansyafa, M. Fajarudin, M. Fadhil, Shelvie Nidya Neyman

引用次数: 0

Implementasi Serangan Website Nextcloud menggunakan DoS Beserta Pencegahannya 利用 DoS 实施 Nextcloud 网站攻击及其防范措施

Journal of Internet and Software Engineering Pub Date : 2024-06-06 DOI: 10.47134/pjise.v1i4.2640

Cindy Arditha Claudia Manurung, Mahatmadi Ariq Mayangkara, Muhamad Al Habsy, Shelvie Nidya Neyman

引用次数: 0

Uji Penetrasi Injeksi SQL terhadap Celah Keamanan Database Website menggunakan SQLmap 使用 SQLmap 对网站数据库安全漏洞进行 SQL 注入渗透测试

Journal of Internet and Software Engineering Pub Date : 2024-06-06 DOI: 10.47134/pjise.v1i4.2623

A. Riyanti, Brian Mariano Rahmanto, Dani Hardianto, Rajwa Daffa Adyatama Yuristiawan, Aep Setiawan

{"title":"Uji Penetrasi Injeksi SQL terhadap Celah Keamanan Database Website menggunakan SQLmap","authors":"A. Riyanti, Brian Mariano Rahmanto, Dani Hardianto, Rajwa Daffa Adyatama Yuristiawan, Aep Setiawan","doi":"10.47134/pjise.v1i4.2623","DOIUrl":"https://doi.org/10.47134/pjise.v1i4.2623","url":null,"abstract":"Keamanan teknologi informasi menjadi sangat krusial di era sekarang. Hal ini bertujuan untuk memastikan bahwa semua informasi yang dikirim atau disimpan melalui internet tetap aman dan tidak dapat diakses secara sembarangan oleh pihak-pihak yang tidak berwenang. Selama beberapa tahun terakhir, kasus cyber attack yang targetnya keamanan website selalu meningkat. Salah satu ancaman peretasan website yang sering digunakan adalah SQL Injection. Dengan menggunakan alat SQLmap yang berjalan pada sistem operasi Kali Linux, penyerang dapat dengan mudah mengambil alih data autentikasi penting, seperti username dan password. Penyerang hanya perlu menggunakan skrip query SQL khusus yang ditulis dalam bahasa pemrograman Python untuk memaksa server web mengeluarkan informasi dari database, termasuk tabel, kolom, dan isi data. Teknik SQL Injection ini tidak sulit dilakukan, sehingga pemahaman tentang cara kerjanya sangat berguna bagi para admin dan pengembang aplikasi web untuk mengamankan akses pengguna dari serangan. Pengujian ini memungkinkan kita memahami proses serangan dan dampak yang ditimbulkan oleh serangan tersebut.","PeriodicalId":504384,"journal":{"name":"Journal of Internet and Software Engineering","volume":"47 S226","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0