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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah KOMPUTASI Jurnal Informatika Universitas Pamulang
Rama Dian Syah
Gunadarma University
Computer Science & IT Decision Sciences, Operations Research & Management

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ANALISIS INTEGRITAS DATA PADA KRIPTOGRAFI CITRA DIGITAL MENGGUNAKAN PENGGABUNGAN ARNOLD’S CAT MAP DAN BERNOULLI MAP Ruddy J Suhatril; Rama Dian Syah
Jurnal Ilmiah KOMPUTASI Vol 19, No 1 (2020): Maret
Publisher : STMIK JAKARTA STI&K

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Abstract

Kriptografi merupakan teknik untuk keamanan data. Perubahan data terenkripsi mungkin terjadi pada saat pengiriman data melalui internet oleh pihak lain. Integritas data diperlukan untuk menghindari hal tersebut. Analisis integritas data diterapkan pada kriptografi citra digital untuk menguji keamanan suatu algoritma kritptografi. Metode kriptografi pada penelitian ini yaitu mengimplementasikan penggabungan algoritma Arnold?s Cat Map dan Bernoulli Map. Pengujian integritas data dilakukan dengan melihat hasil proses dekripsi dari sebuah citra terenkripsi yang sebelumnya sudah mengalami perubahan data. Hasil dari penelitian ini adalah algoritma tidak menjamin integritas data.Keywords: Integritas Data, Kriptografi, Arnold?s Cat Map, Bernoulli Map.
METODE DECISION TREE UNTUK KLASIFIKASI HASIL SELEKSI KOMPETENSI DASAR PADA CPNS 2019 DI ARSIP NASIONAL REPUBLIK INDONESIA Syah, Rama Dian
Jurnal Ilmiah Informatika Komputer Vol 25, No 2 (2020)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2020.v25i2.2750

Abstract

Pelaksanaan seleksi Calon Pegawai Negeri Sipil (CPNS) dilakukan berdasarkan peraturan Badan Kepegawaian Negara di lingkungan instansi pemerintah. Seleksi tes cpns dilakukan dengan beberapa tahapan. Seleksi Kompetensi Dasar (SKD) merupakan tahapan yang diuji berdasarkan parameter penilaian Tes Wawasan Kewarganegaraan (TWK), Tes Intelegensi Umum (TIU), dan Tes Karakter Kepribadian (TKP). Hasil dari SKD dianalisis menggunakan Data Mining. Metode Data Mining yang digunakan yaitu Decision Tree.  Berdasarkan penelitian yang dilakukan pada 344 peserta SKD di Arsip Nasional Republik Indonesia adalah nilai Accuracy = 92.23%, Classification Error = 7.77%, Kappa = 0.879, Recall = 94.84%, dan Precision = 95.79%.
Arsitektur Keamanan Siber Dengan Protokol Denning-Sacco Rama Dian Syah
Jurnal Informatika Universitas Pamulang Vol 5, No 2 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (157.1 KB) | DOI: 10.32493/informatika.v5i2.5675

Abstract

Currently messages can be transmitted using information and communication technology. The message that is transmitted can contain data and information that is privacy or confidential. Messages that are confidential and privacy are only intended for parties that have been determined. Attacks by unauthorized parties may occur during the process of sending the message. Security in a private or confidential message exchange system is very much needed. The message exchange system is regulated by protocol to avoid certain party attacks. The method used in this research is the Denning-Sacco Protocol which is implemented in the exchange of messages from the sender to the recipient. This protocol uses a security key generated by the Key Distribution Center (KDC). The Denning-Sacco Protocol was developed from the Needham-Schroeder Protocol. This study produces an overview of the architecture of the Denning-Sacco Protocol to overcome the weaknesses of the Needham-Schroeder Protocol called the relpy attack. The steps of exchanging messages using the Denning-Sacco Protocol are explained in detail.
Performa Algoritma User K-Nearest Neighbors pada Sistem Rekomendasi di Tokopedia Rama Dian Syah
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6312

Abstract

The biggest marketplace in Indonesia such as Tokopedia has data on e-commerce activities that always increase with time. Large data growth in Marketplace can cause problems for users. Buyers who have difficulty in finding the best product that suits their needs and sellers who have difficulty in promoting products that are often visited by buyers can be overcome. The recommendation system can overcome these problems by providing specific product recommendations to be promoted and offered to buyers. This research implements the Recommendation System using the Item Rating Prediction Method by applying the User K-Nearest Neighbors Algorithm. The Recommendation System provides recommendations based on ratings on products given by the buyer. Algorithm performance in Recommendation System is measured by the parameters of Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Normalized Mean Absolute Error (NMAE). The performance values obtained are RMSE = 0.713, MAE = 0.488 and NMAE = 0.122. Perfomance values below 1 proves that the User K-Nearest Neighbors Algorithm is suitable as a rating prediction model on recommendation system.
Tinjauan Literatur terhadap Metode Sistem Rekomendasi pada Pasar Online Rama Dian Syah; Ahmad Hidayat
Jurnal Informatika Universitas Pamulang Vol 8, No 1 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i1.20114

Abstract

Product Recommendations for e-commerce activities in online market are important in product promotion to buyers. The Recommendation System in e-commerce can take advantage of growing data to inform the best product recommendations for buyers. Recommendation systems provide great opportunities for businesses so that research on the development of Recommendation System methods is increasing nowadays. This study examines the development of the Recommendation System of e-commerce activities in online market. The purpose of this research is to see a comparison and summary of several studies that have been done. Comparisons and summaries of previous research produce an analysis of research progress and find out problems with the Recommendation System of ecommerce activities in online market. The results of this study provide insight for researchers about the development of research on Recommendation Systems of ecommerce activities in online market.
Co-Authors Ahmad Hidayat Ruddy J Suhatril