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All Journal Elkom: Jurnal Elektronika dan Komputer POSITIF CESS (Journal of Computer Engineering, System and Science) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Dirgamaya: Jurnal Manajemen dan Sistem Informasi INOTEK Abdimas Jurnal Indonesia : Manajemen Informatika dan Komunikasi

Elanda, Anggi

STMIK Rosma

Author-ID : 2075333

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Analisis Keamanan Sistem Informasi Berbasis Website Dengan Metode Open Web Application Security Project (OWASP) Versi 4: Systematic Review Anggi Elanda; Robby Lintang Buana
CESS (Journal of Computer Engineering, System and Science) Vol 5, No 2 (2020): JULI 2020
Publisher : Universitas Negeri Medan

Abstract -- OWASP (Open Web Application Security Project) version 4 issued by a non-profit organization called owasp.org which is dedicated to the security of web-based applications. This systematic review is intended to review whether the Open Web Application Security Project (OWASP) method is widely used to detect security in a website-based Information System. In this systematic review, we review 3 literature from several publisher sources and make a comparison regarding OWASP version 4 results and the security level of a web server from the publisher's source.Keywords— OWASP, Website Vulnerability, Website Security Detection

Analisis Kualitas Keamanan Sistem Informasi E-Office Berbasis Website Pada STMIK Rosma Dengan Menggunakan OWASP Top 10 Yudiana Yudiana; Anggi Elanda; Robby Lintang Buana
CESS (Journal of Computer Engineering, System and Science) Vol 6, No 2 (2021): Juli 2021
Publisher : Universitas Negeri Medan

STMIK ROSMA Karawang telah menerapkan pengarsipan dokumen surat di kampus, yang mana kesemuanya diatur secara daring (online) menggunakan sistem informasi e-office berbasis web. Sejak tahun 2020, Sistem Informasi e-office beberapa kali mengalami pengembangan dari sisi fitur yaitu fitur booking nomor surat dengan metode multiple insert query maupun data yang disimpan. Data tersebut menyimpan data dokumen surat baik itu surat masuk, surat keputusan, surat keuangan, surat keluar ketua, surat keluar wakil ketua dan surat keluar akademik STMIK ROSMA. Mengingat pentingnya data yang tersimpan maka perlu diterapkan pengujian keamanan dari sistem informasi e-office. Pengujian keamanan tersebut dilakukan untuk mengetahui tingkat kerentanan agar terhindar dari pihak yang tidak bertanggung jawab. Salah satu metode untuk menguji sistem informasi berbasis web adalah metode OWASP (Open Web Application Security Project) TOP 10 yang dikeluarkan oleh owasp.org sebuah organisasi non profit yang berdedikasi pada keamanan aplikasi berbasis web. Hasil pengujian menggunakan OWASP TOP 10 menunjukkan 10 kerentanan yang sering terjadi terhadap sistem informasi berbasis website sehingga perlu dilakukan perbaikan lebih lanjut oleh pihak pengembang sistem informasi e-office STMIK ROSMA.

Comparasion KNN, Decision Tree and Naïve Bayes for Sentimen Analysis Marketplace Bukalapak Elisa Nathania Halim; Baenil Huda; Anggi Elanda
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.41385

The number of platforms currently makes it easier for users to provide reviews, one of which is the Bukalapak application on the Google Play Store. While both negative and positive reviews can influence the value of the app, users can also be affected by the app's sentiment reviews. Therefore it is necessary to carry out sentiment analysis to classify negative and positive reviews. This research uses review data of 1000 reviews and then classifies them using the RapidMiner application using three methods, namely KNN, Naive Bayes, and also the Decision Tree. The results of the KNN method obtained accuracy values of 85.03%, precision of 84.98%, and recall of 100.00%, then for the Naive Bayes method obtained accuracy values of 73.95%, precision of 100.00%, and recall of 69.26%, and for the Decision Tree method obtained 89.12% accuracy value, 88.62% precision, and 100.00% recall. this can prove that the Decision Tree method is superior to the KNN method and also the Naive Bayes method.

Co-Authors Abdul Sidik Ahmad Fauzi Anwar Aziz Apdian, Donny Apit Priatna Arif Maulana Yusuf Aristawidyaningrum, Apta Asep Samsul Bakhri Awalludin, Dudi Azhiima Noor Jumah Baenil Huda Bakhri, Asep Samsul Beny Kurniawan Budhi Santoso Charlie Khowirantio Daniel Richi Roynaldi Simamora Darmansyah Darmansyah Darmawanto, Apri Dhian Nur Rahayu Djajasukma Tjahjadi Dzikri Nur Akbar Eka Rahmawati Elisa Nathania Halim Firianti Furqon Kautsar Syabani Grevalby Grevalby Hanafie, Daffy Mohamad Ismail Hidayat, Rio Rahmat Hizkia Budiman Indaryono Indaryono, Indaryono Jajang Jajang Jaka Abdul Haris Khoerunnisa, Dede Kintan Yudistira Lila Setiyani M Wahidin M. Wahidin Mokhamad Wahidin Mukarom, Saeful Bahrum Nansy Herina Nurjamilah, Siti Puspa Dewi Rahayu, Dhian Nur RAHMAT GUNAWAN Rahmat Gunawan Ricky Yanto Robby Lintang Buana Robby Lintang Buana Rostiani, Yeny Stephen Setifin Lie Suhada, Karya Suparya, Eman Wahidin, M. Yadi Riyadi Yudiana Yudiana

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