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Automatic Scanner Tools Analysis As A Website Penetration Testing: Automatic Scanner Tools Analysis As A Website Penetration Testing Fathurrahmad Fathurrahmad; Ester Ester
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.886.pp1138-1144


Many studies have produced and compared the accuracy of penetration testing tools in looking for vulnerabilities in web applications. In previous studies, comparative comparisons were made about the accuracy of dynamic analysis tools for website vulnerabilities. The purpose of this research is to obtain all information on an AMIK Indonesia website and to analyze it by collecting information on execution time such as network resource usage, attacks carried out, warnings, and vulnerability results sourced from analysis tool reports. The tool used is using Subgraph Vega and OWASP Zap and looking at the comparison of the tool reports. In this way, it can be seen whether the testing carried out by the tool is efficient and meets two important aspects of the analysis tool so that the penetration testing tool can find all vulnerabilities in the web application, and can also report detected vulnerabilities. When viewed from the results of the analysis obtained, SubGraph Vega has fewer Number of vulnerabilities than OWASP ZAP which has more. Meanwhile, other types of attacks were not found to be the same from the second tool.
Implementasi Jaringan VPN dengan Routing Protocol terhadap Jaringan Multiprotocol Label Switching (MPLS) Fathurrahmad Fathurrahmad; Salman Yusuf
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3 No 1 (2019): JANUARY-JUNE 2019
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v3i1.83


The convergence of the internet and telecommunications is growing, with applications in it increasingly dependent on the availability of large bandwidth, with its QoS settings requiring networks and elements in them that provide full support for data security and increased network performance. The need for data transmission technology that not only facilitates routing and discovery of the best paths but can also provide security in data communication. This study discusses the implementation of VPN networks with routing protocols on the Multiprotocol Label Switching (MPLS) network. After implementation, MPLS network performance will be tested and compared to performance without MPLS using the model planned by the researcher. The specific purpose of this study is to show how routing protocols play an important role in strengthening data communication traffic management that supports MPLS capabilities of VPN networks and is applied to the AMIK Indonesia network architecture. This research will use the literature study method which is intended to obtain and study data contained in computers connected to networks in the AMIK Indonesia computer network laboratory. The conclusion obtained from this study is that MPLS VPN provides bandwidth efficiency in the backbone, MPLS VPN network applications have functioned functionally according to the initial plan of the study and the authors have also managed to configure different networks and obtain stable bandwidth.
Student Final Project Recommendation System Model Using Case-Based Reasoning (CBR) Method Abdus Salam; Fathurrahmad Fathurrahmad
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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


The purpose of this study is to develop a student final project recommendation system model that can be used to improve the quality of final assignments in universities, especially AMIK Indonesia, and compare it with similar applications currently used. Agile Development Methods (ASD) is used in software development where this method is widely used for software development because it can produce system requirements data that is more descriptive and easy to implement into software. The researcher also uses the Case-Based Reasoning algorithm, which will later be implemented as the basic concept of developing a recommendation system prototype. The results of the study found that; 1) In knowing the topic or research theme in the student's Final Project with an expert system, it can be seen from the themes and sub-themes and valid calculations are carried out in helping students to quickly find out the research title for the final project, 2) By applying the Case-Based Reasoning method in detecting research topics or themes at AMIK Indonesia can produce valid calculations that are the same as manual calculations so that the selection process can be carried out quickly and accurately, and 3) in designing this application it consists of the main menu page, a list of research topics, FAQs and about applications using PHP, ReachJS and MySQL programming languages ??as data processors in the recommendation of a student's final project
Analisis Trend Topik Penelitian pada Web Of Science dan SINTA untuk Penentuan Tema Tugas Akhir Mahasiswa AMIK Indonesia Banda Aceh Bahruni Bahruni; Fathurrahmad Fathurrahmad
Jurnal SAINTEKOM Vol. 10 No. 1 (2020): Maret 2020
Publisher : STMIK Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.261 KB) | DOI: 10.33020/saintekom.v10i1.91


Penelitian ini mencoba melakukan penambangan dengan menggunakan teknologi web untuk mengumpulkan data informasi yang berasal dari Web of Science dan SINTA yang dikumpulkan. Metodologi Cross Industry Standard Process for Data Mining (CRISP–DM) digunakan sebagai standard proses data mining sekaligus sebagai metode penelitian. Peneliti mengumpulkan data melalui daftar jurnal Web of Science dan SINTA. Untuk melacak trend topik penelitian, peneliti memilih rentang waktu dari tahun 2018 sampai dengan 2019 dan mengekspor data dari Web of Science Core Collection pada April 2019. Ada 38.162 publikasi yang berhasil diambil di Web-Science-defined kategori Ilmu Komputer dan Sistem Informasi dan 230 diambil dari website SINTA. Tetapi, penulis hanya mengambil 20 Jurnal dengan H-Index Tertinggi di Web of Science Core Collection. Sedangkan pada SINTA, penulis juga mengambil 20 Jurnal dengan rangking SINTA 1 dan 2. penelitian ini menyimpulkan topik penelitian dalam jurnal Web of Science dan dikaitkan dengan dengan tren topik penelitian dan yang muncul terbanyak adalah learning, network, analysis, system, control, data, image, optimization, systems, dan neural. Adapun untuk klasifikasi menggunakan model Naive Bayes, Generalized Linear Model, Logistic Regression, Fast Large Margin, Deep Learning, Decision Tree, Random Forest, Gradient Boosted Trees, dan Support Vector Machine. Berdasarkan hasil akurasi, model Generalized Linear Model dan Decision Tree memiliki akurasi sebesar 94.3%, sedangkan Gradient Boosted Trees memiliki persentase akurasi sebesar 93.8%. Naive Bayes menunjukkan tingkat akurasi sebesar 91.4%, diikuti dengan model Fast Large Margin, Deep Learning, Random Forest, dan Support Vector Machine memiliki akurasi sebesar 91.4%. Nilai dengan akurasi terendah menggunakan model Logistic Regression sebesar 65.2%. Hal ini menunjukan bahwa tingkat akurasi tertinggi yaitu dengan menggunakan model Generalized Linear Model dan Decision Tree sehingga hasilnya dapat memprediksi cukup akurat.
Analisis Trend Topik Pengembangan Rekayasa Perangkat Lunak dalam mendukung Strategi Kurikulum Perguruan Tinggi Bahruni Bahruni; Fathurrahmad Fathurrahmad
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3 No 2 (2019): JULY-DECEMBER 2019
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v3i2.89


The development of software becomes important now and almost every point of view of our lives, many trends in various countries of the world in 2018 and will be interesting to follow in the following year for educational software-related developers. This study aims to analyze the relevance of the subject matter to the trend of device development research topics in order to produce sequential research between software development practicum subjects and trending topics in the world. The methodology used is a qualitative descriptive method used in analyzing the compatibility between courses, with trends in computer learning topics at the world level. Data collection is carried out through documents related to the outline categorized into 2 (two) groups. The first group deals with information relating to research trends related to publications in the journal Web of Science, SINTA, and Final Projects (TA) for Students. AMIK Indonesia. Relevance between AMIK Indonesia subject matter material and trends in relevant and supporting research topics for practicum material As a qualification of relevance for the category of high relevance with a value of 75% and above only 4 subjects, 7 moderate categories with a value of 55% to 74%, and 21 subjects with a low level of relevance, the findings that can produce material for the development of course material by supporting lecturers in each subject are specific to trending topics that are irrelevant or not supported by practicum courses that will have a positive influence on improvement quality.