Information of System Monitoring by Network Oparation Center

Basri, Amat; Gunawan, Alexius Hendra

doi:10.31253/te.v4i2.533

Cited by 2 publications

(1 citation statement)

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“…Diagram konteks menunjukkan semua entitas luar yang memberikan informasi ataupun yang menerima informasi kedalam sistem [14]. Berikut adalah gambaran diagram konteks sistem yang akan di buat:…”

Section: Diagram Konteks Perancangan "Sistem Informasi Akademik"unclassified

Penerapan Metode Rapid Application Development Pada Rancang Bangun Sistem Informasi Akademik Berbasis Android

Selviana,

Aziz

2024

SPIRIT

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<span lang="EN-US">Pendidikan merupakan hal mutlak yang harus dipenuhi oleh setiap individu, pendidikan adalah suatu usaha sadar dan terencana untuk mewujudkan suasana belajar dan proses pembelajaran agar peserta didik secara aktif mengembangkan potensi dirinya. Dalam upaya meningkatkan kecerdasan anak orangtua harus menerapkan suatu metode, jika kita melihat sikap orang tua terhadap pendidikan anak saat ini kebanyakan dari merekaÂ hanya melepas anak dalam rangka menuntut ilmu di bangku sekolah, orang tua terlalu sibuk dengan urusan mereka masing-masing tanpa memberikan pengawasan terhadap proses belajar anak di sekolah. Oleh karena itu dibutuhkan suatu media praktis dan cepat yang berguna untuk memantau proses belajar anak ketika orang tua tidak berada di sekeliling mereka khususnya di sekolah sehingga orang tua dapat mengawasi anak ditengah kesibukan dan menjadi penghubung antara pihak sekolah dan orang tua dengan memanfaatkan teknologi yang telah ada yaitu smartphone android. Sehingga orang tua dapat mengerti kondisi anak dan dapat mengambil langkah yang tepat dalam mengawasinya.</span>

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Section: Diagram Konteks Perancangan "Sistem Informasi Akademik"unclassified

Penerapan Metode Rapid Application Development Pada Rancang Bangun Sistem Informasi Akademik Berbasis Android

Selviana,

Aziz

2024

SPIRIT

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Research and implementation of non-linear management and monitoring system for classified information network

Jun

2023

Nonlinear Engineering

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In order to better realize the secret-related information monitoring system, an algorithm based on a nonlinear network is proposed and is combined with the traditional algorithm. This article mainly analyzes the theory of nonlinear networks, designs and trains new network parameters according to their own needs, and combines the nonlinear network as a feature extractor with the existing intrusion detection and wandering detection algorithms, which greatly improves the recognition ability of traditional algorithms. The main feature of a nonlinear network is that it can extract the positional features of objects from the network while also extracting object features, that is, positioning and classification are realized in the same network. As a feature extractor, this network can not only have a higher recognition rate than background difference, hog, and other algorithms but also have a greater ability to extract position information than other convolutional neural networks. The successful application of nonlinear production network systems in TV stations at all levels has greatly improved the editing and production capability and efficiency of TV programs. How to ensure the safe, reliable, stable, orderly, and efficient operation of nonlinear production network systems requires vendors and TVS Taiwan technical staff to jointly conduct in-depth research and summarize their findings. In this article, from the perspective of TV users, information components in nonlinear production network systems are analyzed, including class, title management mode, storage space management, material management, security management, and workflow management in nonlinear systems. Make some analysis, discussion, and summaries of network system and operation management problems. The experimental results show that the nonlinear algorithm in this article has a significant advantage over the original tracking algorithm; that is, most tracking algorithms do not have the ability of category recognition during the initial tracking process, which means that these tracking algorithms cannot accurately know what they are tracking. Because the nonlinear network has the ability to output categories, whether it is initial tracking or tracking loss recovery, nonlinearity has fundamentally better advantages than other tracking algorithms. Therefore, it can be predicted that there is a strong recognition ability in the later monitoring and wandering detection. It has been proved that the nonlinear algorithm can be effectively applied to the secret information monitoring system.

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Information of System Monitoring by Network Oparation Center

Cited by 2 publications

References 0 publications

Penerapan Metode Rapid Application Development Pada Rancang Bangun Sistem Informasi Akademik Berbasis Android

Penerapan Metode Rapid Application Development Pada Rancang Bangun Sistem Informasi Akademik Berbasis Android

Research and implementation of non-linear management and monitoring system for classified information network

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