Journal of Informatics And Telecommunication Engineering
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Analyzing Node Density Impact on End-to-End Delay and Throughput in Mobile Ad hoc Network Video Conferencing Services
Get PDFVideo conferencing services have gained significant popularity in recent years, enabling real-time communication and collaboration among individuals and groups. However, the performance of video conferencing systems over MANETs poses challenges of topology fluctuations and node density. This research paper aims to present an analysis of end-to-end delay and throughput in video conferencing over MANETs. The main objective is to identify the impact of node density in MANETs on video conferencing user experience. To conduct the study, an experimental setup of Zoom cloud meeting service was designed, consisting of a simulated MANET environment and a video conferencing application. End-to-end delay and throughput were measured via Wireshark software based on interconnected node scenarios and different configurations at densities of 2 and 4 nodes. The collected data was analyzed using appropriate statistical techniques to identify trends, patterns. The end-to-end delay analysis results revealed the impact of fluctuating network density conditions, on the overall delay experienced during the video conferencing session increased by 27%. While throughput analysis revealed a 65% decrease in data transfer capacity caused by higher packet loss factor in MANET. The integrated analysis explores the relationship between end-to-end delay and throughput, providing insight into optimization strategies. These findings can guide the design and implementation of more efficient and reliable video conferencing systems in mobile ad-hoc environments, In the face of fluctuations in node density, these findings can encourage the development of QoS mechanisms specifically designed for MANETs. These mechanisms can prioritize video packets and allocate network resources effectively, ensuring better user experience and overcoming resource constraint
Performance Analysis of 4x4 MIMO and 8x8 MIMO Antena Implementation of Private 5G Networks in Industrial Area
Get PDFPrivate 5G represents a promising wireless network technology that offers a wide range of opportunities for mobile operators. It enables them to meet the increasing data demands of their customers and provide enhanced capacities and user experiences. However, before deploying Private 5G, it's crucial to prepare the foundation properly, especially when choosing the right antena and Radio Frequency (RF) band. This research project focuses on evaluating the implementation of 4x4 MIMO and 8x8 MIMO antenas in the Greater Jakarta industrial area, covering a 35 km2 area, operating at a frequency of 2300 MHz with a 40 MHz bandwidth. The study involved data rate measurements and determined the number of required sites based on different modulation schemes. The findings revealed that using an 8x8 MIMO antena resulted in a data rate twice as high as that achieved with a 4x4 MIMO antena and required only a quarter of the sites. Additionally, simulation results demonstrated that the 8x8 MIMO antena provided better SS-RSRP and SS-SINR values compared to the 4x4 MIMO antena, with values of -91.51 dBm and 8.52 d
Sentiment Analysis Classification Of Political Parties On Twitter Using Gated Recurrent Unit Algorithm And Natural Language Processing
Get PDFGeneral elections cannot be separated from the issue of political parties. The issue can be in the form of surveys to sentiment. The results of the current survey need to be done in-depth validation related to the truth. Sentiment analysis aims to validate the truth of the survey institution. There are 5 political parties used as datasets in this study, namely Partai Demokrasi Indonesia Perjuangan Party (PDIP), Gerakan Indonesia Raya Party (Gerindra), Golongan Karya Party (Golkar), Partai Kebangkitan Bangsa Party (PKB), and Nasional Demokrat Party (Nasdem). The Gated Recurrent Unit (GRU) algorithm is implemented in this research as an experiment in data calculation. Based on the results of the GRU algorithm calculation in calculating sentiment on political parties, it produces the highest data at 56.50% accuracy, 72.76% precision, and 100% recal
Optimizing throughput value through re-examining of 4G LTE infrastructure link budgets: A Case Study in Lubuk Kilangan
Get PDFBroadband wireless access technology has taken the lead in communication technology development, enabling users to communicate with fast data speeds and extensive coverage.. Problems that frequently arise in mobile communication systems are the wide range of services and the level of network service quality. Thus, optimization is carried out to improve network quality in the Lubuk Kilangan area by using the drive test method to determine the quality of the network and bad spot areas and analyzed using terms discovery software. The reason behind the findings of this study is that the optimal link budget value for 4G LTE infrastructure in Lubuk Kilangan is higher than the current industry standard due to the unique characteristics of the area. According to the analysis and calculation of the link budget, power additions, and antenna tilting alterations were carried out for optimization. The power quality of the RSRP parameter increased from the fair (orange) area of 2.58 to 0.29. For the SINR parameter, For the SINR parameter, there was also an increase in quality at poor category locations in the KPI parameters (Range RSRP) locations from 0.08% to 0.05%, resulting in SINR bad spots decreasing. The proportion for Throughput after optimization remains the same, at 100%. Indicating that there had been a good increase in the coverage area, making the coverage in the Lubuk Kilangan area good. It is necessary to conduct a deeper study by comparing several types of antenna orientation, including tilt, depending on various factors such as the deployment scenario, coverage requirements, interference considerations, and the specific characteristics of picocells, femtocells, and repeaters. Future research could explore the impact of other factors, such as network topology and user behavior, on link budget optimization of 4G LTE infrastructure in different context
Development of Smart Servers for Informatics Education Program Using NDLC Method
Get PDFThe development of processor technology, especially Multicore Processors, has had a significant impact in various fields, including the field of higher education, one of which is the need for Virtual Private Servers for information management and their potential as a storage space for web development products. This research aims to create a Virtual Private Server in the Informatics Education program at the Faculty of Mathematics and Natural Sciences of Hamzanwadi University. It uses the Research & Development (R&D) method with the Network Development Life Cycle (NDLC) approach, involving six stages: Analysis, Design, Prototype Simulation, Implementation, Monitoring, and Management. Data were obtained through interviews and questionnaires, then analyzed descriptively qualitatively. The research resulted in a Virtual Private Server using Proxmox VE 7.4, Ubuntu 18.04.5 operating system, remote access via OpenSSH-Server, Control Panel AAPanel 6.8.30, Nginx 1.21.4 web server, MySQL 5.7.34 database management system, PHP 7.4, PhpMyAdmin 5.0 for web access to the database, and PureFTPd 1.1.49 as the FTP Server. Expert evaluations in the field of IT yielded a rating of 83% with the category "Highly Suitable," indicating that the Virtual Private Server product is suitable for use as a storage facility for web-based development products in the Informatics Education program at the Faculty of Mathematics and Natural Sciences, Hamzanwadi Universit
Comparison of Min-Max and EOQ Methods in Web-Based Stock Management Information System
Get PDFWarehouse stock management is very important for the sustainability of a business, especially building stores that have a lot of goods. Many problems occur in the absence of stock information management in a business. This happens at Pelita Building Store which has a lot of goods so it is very difficult for the owner to decide which items to stock based on priority. This study aims to help business owners to carry out stock management by comparing two inventory methods, namely the Economic Order Quantity (EOQ) and Min-Max methods. The comparison is carried out with the aim of determining the most optimal method that can be used for stock management in the building shop business case. This research uses a system development method by adopting the prototype method. This research was tested by conducting blackbox and accuracy testing. The results of this study based on blackbox testing stated that the features in the application function properly and can be used for stock management. In addition to black box testing, accuracy testing is also carried out. Accuracy testing is done by comparing the data from the information system calculation with the data from the manual calculation. After comparison, an accuracy of 100% is obtained, thus it can be concluded that this application can be used to help shop owners determine priority stock and the most accurate method is to use the EOQ metho
Comparison of ARIMA and LSTM Models in Stock Price Forecasting: A Case Study of GOTO.JK
Get PDFThe renowned Indonesian company, PT Gojek Tokopedia Tbk, has a significant impact on the Indonesian economy by attracting investors to invest their shares. This study uses stock closing price data to forecast stock prices using ARIMA (AutoRegressive Intergrated Moving Average) and LSTM (Long Short-Term Memory) models, to predict using prediction by dividing the data into groups of 10 or 20 data with data sets to be trained as multiples. The analysis shows that ARIMA is superior to LSTM based on the comparison of average error and average percentage error, where the average error results in LSTM (3.843) and ARIMA (3.259), as well as the average error of LSTM (4.04%) and ARIMA (3.57%). The research supports the conclusion that ARIMA has a better performance in predicting the stock price of PT Gojek Tokopedia Tbk. These results provide important insights for investors and market participants, while the research supports the increased use of seasonal patterns in ARIMA forecasting for more accurate results in the future. Future research is recommended to explore additional factors and optimized models to further improve stock price prediction
5G Implementation using Software Defined Radio (SDR)
Get PDFJaringan 5G merupakan perkembangan generasi selular 4G long term evolution (LTE), terdiri dari 3 entitas utama yaitu user equipment (UE), radio access network (RAN) dan Core network (CN). Uji coba implementasi jaringan 5G menggunakan Software defined Radio (SDR). Emulator user equipment sebagai entitas pengguna, menggunakan software open source srsUe dengan parameter seting user subscriber identity module (USIM) 51009. USIM merupakan gabungan kode mobile country code (MCC) 510 negara Indonesia dan mobile country code (MNC) 09 milik operator selular di Indonesia. GNodeB sebagai entitas base transceiver station (BTS) menggunakan software open source srsRAN dengan parameter seting enb_id sebagai identitas. Tracking area menggunakan parameter Tracking Area Code (TAC) 22. Physical cell identity (PCI) 7 ditentukan sebagai identitas cell arah downlink. Frekuensi kerja di 1824.5 Mhz atau dl_arfcn 368500 pada band 3. Entitas Core menggunakan software open source Open5GS dengan parameter seting TAC, MCC, dan MNC yang sesuai dengan paremeter seting gNodeB. Identitas Access mobility management function (AMF) ditentukan menggunakan alamat ip address. Implementasi jaringan 5G berhasil dilakukan menggunakan perangkat lunak sumber terbuka. Pengujian pada parameter jaringan selular komersil berhasil dilakukan dengan syarat parameter seting harus sama pada setiap entitas. Ini membuktikan open SDR ini dapat diterapkan pada jaringan komersil. Pengujian performansi ping test dari 5G Core ke arah user sukses dengan nilai rata-rata 39,58 ms, ping success rate 100% dan pinglost rate 0%. Pengujian user registration sukses dilakukan dengan hasil analisis berupa diagram message flow yang menunjukkan tahapan yang terjadi setelah initial ue message hingga user plan function (UPF)
Haar Cascade Algorithm On Mask Detection System Based On Distance In Facing The Normal Era
Get PDFThe COVID-19 outbreak has hit almost the whole world, including Indonesia which has become a disease outbreak in early 2020. Therefore, currently, various places have enforced regulations to comply with health protocols by using masks. So all South Sumatra must follow health protocols by wearing masks and maintaining distance. So the program for making this Mask Detection System is one way to overcome public awareness, especially among Bina Darma University students about the importance of using masks today. In the case of making this mask detection system program, the researchers used Python and the Haar Cascade Algorithm. From experiments using the Haar Cascade method, this system can detect people who use masks and do not use masks. This test is also done by inputting images or videos. The results of the study that, based on distance and angle, the estimated minimum distance for this mask detection application is 25 cm and the maximum is 150 cm will produce maximum mask detection results and based on distance, the estimated distance is 50 cm to 300 cm, the design of the detection system can recognize the maximum fac
Application of the Service Quality Method to Assess the Quality of Administrative Services at universities
No full textSalah satu bentuk pelayanan dari pelayanan di perguruan tinggi adalah pelayanan administrasi. Perguruan tinggi sudah seharusnya dapat menjamin kepuasan mahasiswa yang merupakan pelanggan bagi perguruan tinggi, tidak hanya dalam proses belajar mengajar, namun juga mencakup dalam pelayanan administrasi. salah satunya di Universitas Sriwijaya. Begitu pula dengan Fakultas Ilmu Komputer sebagai bagian dari Universitas Sriwijaya yang bertanggung jawab atas pengelolaan bagian pelayanan administrasi khususnya pelayanan yang bersifat secara manual. Untuk mengukur bagaimana mahasiswa mempersepsikan kualitas layanan administrasi di Fakultas Ilmu Komputer Universitas Sriwijaya, diperlukan penggunaan metode pengukuran yang tepat. Salah satu metode yang sering digunakan untuk mengukur kualitas pelayanan adalah metode Servqual (Service Quality). Metode ini terdiri dari lima dimensi kualitas pelayanan, yaitu kehandalan (reliability), keyakinan/jaminan (assurance), empati (empathy), daya tanggap (responsiveness), dan bukti fisik (tangibles). Kelima dimensi ini digunakan untuk mengukur kualitas pelayanan administrasi, sehingga diharapkan akan dapat diketahui apakah kinerja kualitas pelayanan administrasi telah sesuai dengan keinginan mahasiswa, faktor apa saja yang mempengaruhi tingkat kualitas pelayanan yang diberikan, dan faktor apa saja yang perlu mendapat perbaikan. Skor rata-rata persepi yang didapatkan sebesar 3,98 dan skor rata-rata harapan mahasiswa sebesar 4,47 sehingga didapatkan nilai kesenjangan (gap) antara persepsi dan harapan sebesar -0,49 yang menunjukkan bahwa pelanggan merasa belum puas terhadap pelayanan yang diberikan oleh administrasi Fakultas Ilmu Komputer Universitas Sriwijay