The implementation of network security infrastructure has been carried out, including the Intrusion Detection System (IDS). However, in its implementation there are still many who have not combined with Data Technology (Data Science) to get a more comprehensive analysis. This study aims to analyze the types and characteristics of network threats using data science. As a computational method, the results of 3 algorithms in the unsupervised learning category will be implemented and compared, namely K-Means, Meanshift, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). From the experimental results as measured by the Silhouette Index (SI ) the best cluster of each implemented algorithm is DBSCAN which has the best SI value of 0.3424 with an Eps value of 0.2 and a MinPts value of 3. Meanwhile, from the results of clustering using K-Means, The best SI value was obtained by experiment k=4 with a value of 0.4531. The results of clustering using MeanShift, the best SI value was obtained by experiment bandwidth = 1 with a value of 0.5305.
Seluruh peternakan sapi yang berada di kawasan Kabupaten Kediri memiliki potensi besar dalam hal produk peternakannya. Akan tetapi masyarakat Kabupaten Kediri terutama masyarakat di luar Kabupaten Kediri belum mengetahui ataupun tidak dapat mencari informasi mengenai peternakan sapi tersebut. Oleh karena itu, perlu adanya Sistem Informasi Persebaran Peternakan Sapi Berbasis Website Studi Kasus Kab. Kediri untuk menyajikan pemeraan dan memberikan informasi mengenai seluruh peterkan yang berada dalam lingkup Kabupaten Kediri. Sistem informasi persebaran peternakan ini dibangun menggunakan bahasa pemprograman php dengan menggunakan framework laravel, database menggunakan MySQL database, dan untuk pemetaan menggunakan leafleat js. Dalam sistem informasi persebaran peterenakan terdapat 2 user, yaitu admin dinas peternakan dan pengunjung website. Admin dinas peternakan dapat mengakses fitur kelola kecamatan, kelola perkumpulan, kelola status, kelola peternakan, dan kelola user. Sedangkan untuk pengunjung dapat mengakses fitur lihat pemetaan persebaran berdasarkan kecamatan peternakan, perkumpulan peternakan, status peternakan, dan jenis peternakan.
The implementation of eco-friendly technology has been become an interesting field for sustainability. No exception with the implementation of wireless technology that used for developing networks infrastructure, it is necessary for saving the usage of energy. As a data forwarding protocol in a computer network, commonly there are two protocols that used for, which are routing and bridging protocol. Technically routing protocol has been confirmed that it is more effective and efficient than bridging protocol. However bridging protocol still becomes the popular protocol for data forwarding because it is easy to use. This research tried to test the energy consumption of the wireless network device that implementing between routing or bridging protocol. The wireless network device that used for this research was MikroTik router RB 433Ah. The data forwarding protocol that was tested consists of bridging, static routing, and RIP routing. Data traffic scenario that used for this research consisted of two scenarios which were HTML data access with packet size 256B and video streaming data access with packet size 1518B. Measuring the energy consumption referred to three parameters which were power consumption, CPU usage, and processor temperature. The result showed that for HTML data access scenario, the RIP routing protocol become the lowest energy consumption with power consumption reached 7.460 W, CPU usage 4.6 %, and processor temperature 38.133^C. While for video streaming scenario, generally the RIP routing protocol still become the lowest energy consumption with power consumption reached 7.567 W, CPU usage 7.33 %, and processor temperature 36.727^C. IntroductionWireless networks are the most considered choice today to build infrastructure computer networks, especially for wide coverage areas. This is because wireless networks allow users to connect the networks flexibly without being limited by hardware like the limitation of conventional wired computer networks. Finally, wireless networks infrastructure is be able to cover almost every places even remote places. There has been increased the use of mobile devices, hotspot areas, and wireless IoT globally [1]. Even wireless infrastructure like telecom tower (BTS), has grown significantly. In 2018, there are 118 thousand towers that cover mostly 95% area of Indonesia for serving 157 million customers [2]. Actually, mobile device that implements wireless technology infrastructure gives energy efficiency, but nowadays the increasing of data usage makes energy saving in vain [3]. It is no doubt that the increase of internet conection and mobile phones impacts the electricity consumption especially in developing country [4].In other hand, the development of wireless networks as information and communication technology (ICT) certainly raises an effect [5], [6]. Theoretically, information and communication technology has a positive and significant relation with energy consumption [7], no exception with wireless technology. Wireless technology is one of the developed techn...
Traveling around a city and making transit in certain areas is called a city tour. Furthermore, determining the optimal city tour route can be considered as a traveling salesman problem. There are many kinds of algorithms to solve this, one of which is the Genetic Algorithm (GA). In developing the City Tour application, a platform is needed to be taken to various places anywhere and anytime. Finally, we developed an application that runs on mobile devices. This application is built on the Android platform so that its use can be more efficient. Furthermore, it can be concluded that the GA applied to the Android-based City Tour Application is reliable to determine city tour routes; this is evidenced by comparing GA with the brute force method, where GA provides optimum results with less running time.
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