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Perancangan Spesifikasi Keamanan untuk Pengembangan Aplikasi Secure Chat Berdasarkan Common Criteria For It Security Evaluation Amiruddin, Amiruddin; Rohmani, Muhammad Faqih
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 6: Desember 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021863637

Abstract

Spesifikasi keamanan sangat penting bagi pengembangan aplikasi chatting karena dapat menentukan tingkat keamanan aplikasi yang tentunya akan berdampak pada kepercayaan pengguna. Namun, pengembangan fitur keamanan pada aplikasi yang beredar belum semua didasarkan pada suatu spesifikasi kebutuhan keamanan yang jelas. Misanya, aplikasi Mxit dan QQ Mobile tidak memenuhi satu pun dari tujuh kategori keamanan untuk secure chat yang dikeluarkan oleh Electronic Frontiers Foundtaion (EFF). Bahkan, Yahoo! Messenger belum menerapkan disain keamanan yang baik, misalnya kita tidak dapat memverifikasi identitas kontak kita. Selain itu, Yahoo! Messenger tidak menerapkan perfect forward secrecy. Artinya, fitur keamanan pada beberapa aplikasi chat dikembangkan tidak berdasarkan pada rancangan spesifikasi keamanan. Pada penelitian ini, dilakukan perancangan spesifikasi keamanan untuk pengembangan aplikasi secure chat dengan mengacu pada Common Criteria for IT Security Evaluation Version 3.1:2017.  Pada hasil rancangan tersebut, telah ditentukan 28 famili dari 7 kelas Secure Functional Requirement (SFR) yang harus dipenuhi dalam pengembangan aplikasi secure chat. Hasil rancangan telah divalidasi dengan metode expert judgment.AbstractSecurity specifications are very important for chat application development because they can determine the level of its security which, of course, will have an impact on user trust. However, the development of outstanding application security features is not all based on a clear security requirement specification. For example, the Mxit and QQ Mobile applications do not meet any of the seven security categories for secure chat issued by the Electronic Frontier Foundation (EFF). In fact, Yahoo! Messenger has not implemented a good security design, for example, we cannot verify the identity of our contacts and do not apply perfect forward secrecy. This means that security features in some chat applications are developed not based on security specification designs. In this study, the design of security specifications for secure chat application development was carried out by referring to the Common Criteria for IT Security Evaluation Version 3.1: 2017. In the design results, 28 families of 7 classes of Secure Functional Requirements (SFR) have been determined that must be met in the development of secure chat applications. The design result has been validated using expert judgment method.
Analisis Sentimen Pengguna Twitter Terhadap Universitas Pamulang Periode Penerimaan Mahasiswa Gelombang I Tahun Ajaran 2024/2025 Rohmani, Muhammad Faqih; Makhsun
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

The development of information technology has had a significant impact on various aspects of life, including education. One of the universities that has gained public attention is Universitas Pamulang. As one of the largest private higher education institutions in Indonesia, Universitas Pamulang needs to continuously improve. One of the key references for these improvements is public opinion. To understand public opinion regarding Universitas Pamulang, an analysis was conducted on the social media platform Twitter. Therefore, this study examines public sentiment toward Universitas Pamulang using Twitter data and the Naïve Bayes method. The Naïve Bayes method was chosen due to its advantages in text classification, particularly in sentiment analysis. The research data was collected from Twitter during the first wave of new student admissions for the 2024/2025 academic year. The analysis process involved identifying the dominant sentiment (positive, negative, or neutral) in public opinion, exploring the institution's strengths and weaknesses, and providing recommendations for improving the quality of academic services, administration, and the reputation of Universitas Pamulang. The results of this study indicate that the Naïve Bayes algorithm can be effectively used for sentiment analysis, achieving a high level of accuracy. This research is expected to contribute academically to sentiment analysis studies in the higher education sector in Indonesia.