Claim Missing Document
Check
Articles

Found 33 Documents
Search

SOFT AND SOFTER HANDOVER PERFORMANCE OF CDMA Lina wati; Ngurah Indra Erawan; Eka Yayuk Fransiska Simak
Jurnal Teknologi Elektro Vol 9, No 2 (2010): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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

Abstract

One of telecommunication providers in Indonesia applies CDMA2000 1x technology. The technology hasmany advantages such as larger channel capacity of BTS (Base Transceiver Station). On the other hand, thecapacity depends on user’s density. Therefore to guarantee voice connection when user or mobile station (MS) isalways moving from one cell to others, handover technique is needed. However the technique can be failed for manyreasons. Therefore impact of call attempt on softer and soft handover performance is investigated. Hence the paperexamined soft – softer handover performance of CDMA in BTS (Base Transceiver Station), BSC, and Sectors inboth sub-urban and rural areas in Denpasar, Bali with area code of 0361.The research has been done in rural and suburban area with call area code ‘0361’. The analyses includedregression and simple linear correlation applications. The results showed that number of call attempts affected thefailure of soft and softer handover technique dominantly. Generally, average level of success both handover in bothrural and suburban area were about 99% which are above KPI (Key Performance Indicator) reference at 98.50%.However in rural area, other factors such as blocking called attempt and error called number have caused the softerhandover failure.
QoS Analysis of Implementation Elastic WLAN Mechanism for Adaptive Bandwidth Management Systems in Smart Buildings Sukadarmika, Gede; Indra ER, Ngurah; Yoga, I Putu Sudharma; Linawati; Budiastra, IN
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.83215

Abstract

The rapid growth of the Internet of Things technology has led to various innovative creations, However, effective management of data traffic generated by numerous sensors is essential to maintain network performance. This study develops and evaluates an adaptive Bandwidth Management System using Elastic WLAN to deal with the development of IoT system traffic so that network performance is maintained. Using Raspberry Pi as an Elastic WLAN device and a Hierarchical Token Bucket (HTB) running via Python script, this system manages Bandwidth allocation based on the number of visitors in the Smart Building. Evaluation was carried out in two rooms, comparing conditions before and after Elastic WLAN implementation. The results show that the implementation of Elastic WLAN improves network performance. This is indicated by improvements in the stability of upload and download rates, as well as very significant improvements in the Jitter and Latency parameters which are used as QoS parameters.
Tinjauan Literatur: Deteksi Anomali Berbasis Analisis Waktu pada CAN Bus Kendaraan Listrik Setiawan, Putu Ayu Citra; Giriantari, Ida Ayu Dwi; ER, Ngurah Indra
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.282

Abstract

The development of modern automotive technology emphasizes the importance of vehicle connectivity and autonomy, with the aim of enhancing safety and comfort. Due to its role in managing critical vehicle functions and its vulnerability to security threats, the automotive industry has developed two primary approaches to address CAN Bus security. Therefore, the automotive industry has developed two main approaches to address this security issue. First, passive defense through security protocols that include encryption, authentication, and message verification, and second, anomaly detection using advanced technologies. Several anomaly detection methods have been introduced, including K-Means clustering, Support Vector Machines, and Deep Learning, each offering advantages in detecting specific attack patterns. However, one increasingly popular approach is time analysis, which leverages message inter-arrival patterns and clock skew on the CAN Bus to identify suspicious behavior and detect anomalies in real-time. Although this method has shown effectiveness in detecting various types of attacks, the main challenge lies in its ability to identify highly concealed attacks that may not be visible to traditional methods. This research provides an understanding of various anomaly detection approaches on electric vehicle CAN Bus networks, with a primary focus on time analysis. By reviewing several approaches, this study offers valuable insights into improving the security of electric vehicles and the overall smart transportation ecosystem. The results show that time-based analysis methods can detect various types of attacks, such as spoofing, replay attacks, and denial-of-service, with high efficiency.