Data communication has become a major requirement for companies and governmental institutions. Communication is not only limited to one particular local area but covers other areas so as to form a wide network (WAN). By using 3-phase DMVPN (Dynamic Multipoint Virtual Private Network) technology, government companies and institutions can communicate securely through the Internet network at lower cost and easier in configuration than similar solutions such as X.25, Frame Relay and ATM. In maximizing the performance of DMVPN required good network management, one of them by using a combination of internal and external routing protocol. In this study the routing protocol used RIPv2, OSPF, EIGRP and BGP with different algorithms, to compare them used QoS criteria (throughput, jitter, packet loss, network covergence). Methods of data collection with literature study and literature study, simulation done with 8 stages (problem formulation, conceptual model, input & output data, modeling, simulation, verification & validation, experimentation, and output analysis). The results of this study provide the best QoS value in phase 1 is EIGRP-BGP, phase 2 is EIGRP-BGP, and phase 3 is RIPv2-BGP. And EIGRP-BGP is the best combination of routing protocols for DMVPN.
Towards an election year (elections) in 2019 to come, many mass campaign conducted through social media networks one of them on twitter. One online campaign is very popular among the people of the current campaign with the hashtag #2019GantiPresiden. In studies sentiment analysis required hashtag 2019GantiPresiden classifier and the selection of robust functionality that mendaptkan high accuracy values. One of the classifier and feature selection algorithms are Naive Bayes classifier (NBC) with Tri-Gram feature selection Character & Term-Frequency which previous research has resulted in a fairly high accuracy. The purpose of this study was to determine the implementation of Algorithm Naive Bayes classifier (NBC) with each selection and compare features and get accurate results from Algorithm Naive Bayes classifier (NBC) with both the selection of the feature. The author uses the method of observation to collect data and do the simulation. By using the data of 1,000 tweets originating from hashtag # 2019GantiPresiden taken on 15 September 2018, the author divides into two categories: 950 tweets as training data and 50 tweets as test data where the labeling process using methods Lexicon Based sentiment. From this study showed Naïve Bayes classifier algorithm accuracy (NBC) with feature selection Character Tri-Gram by 76% and Term-Frequency by 74%,the result show that the feature selection Character Tri-Gram better than Term-Frequency.
Penelitian ini bertujuan untuk mengembangkan aplikasi yang dapat mengoptimalkan penjadwalan kegiatan di Balai Pelatihan Riset Teknologi Informasi dan Komunikasi (BPRTIK), Ciputat, Tangerang Selatan dengan mengimplementasikan Algoritma Genetika (AG). Penulis memahami bahwa proses kegiatan yang diatur secara manual belum dapat dilakukan secara optimal sehingga perlu adanya revisi rancangan kegiatan yang dikelola secara maksimal melalui penggunaan aplikasi optimasi penjadwalan yang terstruktur secara otomatis. Oleh sebab itu, kebutuhan terhadap optimasi penjadwalan menjadi penting dan pembuatan aplikasi pada bidang tersebut harus dibangun secara komperhensif. Algoritma Genetika menawarkan metode komperhensif dalam pengolahan data optimal dengan mengadopsi konsep seleksi alam sebagai tolak ukur dalam pemilihan dan penentuan data yang diperlukan. Di samping itu, untuk mengembangkan dan mengukur AG, penulis juga menerapkan metodologi Rapid Application Development (RAD) yang mencakup fase perencanaan, desain perancangan, dan fase pelaksanaan dalam proses pengembangan sistem aplikasi yang selanjutnya dikembangkan dengan PHP dan MySQL sebagai platform utama dan Adobe Dreamweaver CS6 dan Microsoft Visio 2007 sebagai infrastruktur grafis. Sebagai kesimpulan, penulis menemukan bahwa implementasi Algoritma Genetika pada aplikasi optimasi penjadwalan kegiatan menghasilkan kinerja yang lebih optimal pada proses pemilihan dan pengolahan data pada aplikasi yang telah dikelola sehingga menghasilkan produk penjadwalan yang lebih terstruktur.
Pengabdian masyarakat ini bertujuan untuk pengabdian masyarakat ini adalah untuk memperkuat strategi bisnis para pelaku UMKM, khususnya strategi di bidang pemasaran. Dalam pengabdian ini, yang menjadi mitra adalah para pelaku UMKM yang menjadi anggota Koperasi Setia Bhakti Wanita Surabaya. Kegiatan ini dilaksanakan pada hari Senin, 28 November 2016. Para peserta yang hadir sangat antusias mengikuti setiap sesi pemaparan materi dan termotivasi untuk mengajukan pertanyaan-pertanyaan
ABSTRAK Data center pada sebuah institusi telah di amati dan dianalisa untuk mendapatkan deskripsi mengenai keamamanan informasinya. Data center pernah mengalami insiden keamanan informasi berupa Shell Injection. Akibatnya, beberapa situs web tidak dapat diakses beberapa saat. Insiden ini dapat memperngaruhi proses bisnis institusi. Untuk menghindari masalah ini di masa depan, diperlukan audit keamanan informasi. Audit ini dapat dilakukan dengan menggunakan framework COBIT 5. Dalam penelitian ini, audit keamanan indormasi dilakukan terhadap keamanan informasi data center dengan fokus pada proses APO13 (Manage Security) dan DSS05 (Manage Security Service). Penelitian ini Penelitian ini dilakukan melalui tahap Initiation, Planning the Assessment, Briefing, Data Collection, Data Validation, Process Attribute Level dan Reporting the Result. Hasil penelitian ini diketahui tingkat kemampuan APO13 dan DSS05 pada saat ini (As Is) bernilai 1,54 dan 1,68 atau pada level 2, yang berarti proses APO13 dan DSS05 telah dilakukan dan dipelihara sesuai dengan rencana kerja. Oleh karena itu tingkat berikutnya (to be) ditetapkan pada level 3. Untuk mencapai level 3, beberapa rekomendasi diberikan untuk menutupi gap yang telah ditentukan dalam proses APO13 dan DSS05. Data center harus membuat rencana kerja yang rinci, data center yang dikelola dengan baik dan memiliki standar yang jelas untuk diterapkan agar dapat mencapai tujuan bisnis ABSTRACT A data center of an institution was observed and analyzed in order to get description about its information security. The data center had ever experienced incidents of information security which is shell injection. As a result, some websites were not accessible for a moment. This incidents can affect business processes of the institution. In order to avoid this problem in the future, this institution needs information security audit. This audit can be done by using Framework COBIT 5. In this research, an information security audit was conducted to Data Center Information Security by using Framework COBIT 5, focus on the process DSS05 (Manage Security Service) and APO13 (Manage Security). This research was conducted through some stages of initiation, planning the assessment, briefing, data collection, data validation, process attribute level and reporting the result. Form this research, the capability level of APO13 and DSS05 at this moment (as is) worth 1.54 and 1.68 or at level 2, which means process of APO13 and DSS05 had been done and maintained in accordance with the work plan. Therefore the next level (to be) set at level 3. In order to achieve level 3, some recommendations provided to cover the gap that has been determined in the process APO13 and DSS05. The data center have to make a detail work plan, well managed data center and have clear standard to be implemented in order to reach the business goal.How to Cite : Martin, I.M. Arini. Wardani, L. K. (2017). ANALISIS KEAMANAN INFORMASI DATA CENTER MENGGUNAKAN COBIT 5. Jurnal Teknik Informatika, 10(2), 119-128. doi: 10.15408/jti.v10i2.7026Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.7026
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