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PERANCANGAN SISTEM E-TICKETING BERLANGGANAN BAGI PENUMPANG KOMUTER DAOP 2 BANDUNG Kuswayati, Sri; Erina Damayanti , Sri
TEMATIK Vol 4 No 2 (2017): TEMATIK : Jurnal Teknologi Informasi Dan Komunikasi - Desember 2017
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v4i2.179

Perancangan Sistem e-ticketing berlangganan bagi Penumpang Komuter DAOP 2 Bandung bertujuan untuk membantu kelancaran aktivitas para penumpang pekerja, mahasiswa atau pelajar serta penumpang umum. Sistem dibuat untuk menghindari antrian dan memberikan prioritas pada penumpang berlangganan. Perancangan sistem dibuat dengan berorientasi objek dengan alat bantu UML. Diharapkan dengan adanya sistem e-ticketing berlangganan tersebut menjadikan penumpang memperoleh kemudahan dalam memperoleh tiket dan mendapat kepastian tempat duduk. Isi ulang dapat dilakukan di loket-loket yang bekerjasama dengan PT KAI. Sistem dapat dikembangkan menjadi lebih mudah diakses dengan berbasis android.

Analisis Profil Peserta Webinar Implementasi Kurikulum Merdeka dengan Microsoft Power BI untuk Meningkatkan Akses dan Kualitas Pembelajaran Kuswayati, Sri; Rusdan, Muchamad; Agustina, Nova
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Implementation of Kurikulum Merdeka faces a number of challenges. One of the main challenges is the readiness and competence of educators in understanding and implementing this new curriculum. Implementing webinars has become a popular solution for delivering information and training regarding the Kurikulum Merdeka, but its effectiveness still needs to be further evaluated to ensure that all educators can access and utilize this information well. Analysis of an in-depth understanding of the profile of webinar participants is important to design professional development programs that are more targeted and effective. This research uses Microsoft Power BI and a quantitative descriptive approach which aims to provide an overview of the characteristics of webinar participants based on numerical data collected through participation data. This research population includes all participants from webinar series 1, 2, 3, and 4 regarding the Implementation of the Independent Curriculum. Sampling used a purposive sampling technique, with samples taken from 182 participants who actively took part in the webinar series. The results show that the elementary school level is the type of institution that has the most registrations for the entire webinar series. However, it should be noted that the total number of participants at other levels in each series is relatively small, especially for levels other than elementary school. This may affect the validity of the generalization. This indicates the possibility of other factors influencing the number of registrants at each level. For further research, it is recommended to collect more complete data on participant characteristics, such as geographic location, field of study, and reasons for enrollment.

Evaluation of Network Function Virtualization Efficiency in Network Traffic Management Rusdan, Muchamad; Hendayun, Mokhamad; Kuswayati, Sri
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

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This study investigates the efficiency of Network Function Virtualization (NFV) in managing network traffic using a simulation-based experimental approach. NFV offers flexibility, scalability, and cost-efficiency by replacing hardware-based functions with software-based services. The research involves the deployment of Virtual Network Functions (VNFs) such as firewalls, load balancers, and intrusion detection systems within a simulated environment using tools like Mininet, OpenStack, and GNS3. Performance was evaluated under varying traffic conditions—normal, moderate, and high load scenarios—by measuring latency, throughput, jitter, CPU, and memory usage. The findings indicate that while NFV performs comparably to traditional systems under low to moderate load, it suffers from performance degradation under high traffic, particularly in latency and resource utilization. However, the integration of intelligent orchestration and dynamic resource management can mitigate these limitations. The results suggest that with proper optimization, NFV can serve as a viable alternative to traditional network infrastructure, especially in supporting next-generation network applications. This study contributes to the understanding of NFV’s operational performance and provides recommendations for its deployment in modern networks.

Evaluation of Network Function Virtualization Efficiency in Network Traffic Management Rusdan, Muchamad; Hendayun, Mokhamad; Kuswayati, Sri
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

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

This study investigates the efficiency of Network Function Virtualization (NFV) in managing network traffic using a simulation-based experimental approach. NFV offers flexibility, scalability, and cost-efficiency by replacing hardware-based functions with software-based services. The research involves the deployment of Virtual Network Functions (VNFs) such as firewalls, load balancers, and intrusion detection systems within a simulated environment using tools like Mininet, OpenStack, and GNS3. Performance was evaluated under varying traffic conditions—normal, moderate, and high load scenarios—by measuring latency, throughput, jitter, CPU, and memory usage. The findings indicate that while NFV performs comparably to traditional systems under low to moderate load, it suffers from performance degradation under high traffic, particularly in latency and resource utilization. However, the integration of intelligent orchestration and dynamic resource management can mitigate these limitations. The results suggest that with proper optimization, NFV can serve as a viable alternative to traditional network infrastructure, especially in supporting next-generation network applications. This study contributes to the understanding of NFV’s operational performance and provides recommendations for its deployment in modern networks.

Role of ChatGPT as an Innovative Tool for Data Analysis and Market Trend Prediction in Business Information Systems Mutoffar, Muhamad Malik; Kuswayati, Sri; Sumarni, Tarsinah; Dewi, Rimba Krisnha Sukma; Nurjanah, Erni
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

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The advancement of information and communication technology has fundamentally transformed the business landscape. Businesses are increasingly reliant on data to make effective, market-oriented decisions. Within the context of business information systems, ChatGPT can be utilized as an innovative tool to optimize data analysis processes, provide deeper market insights, and even make predictions about future trends. The aim of this research is to explore and test the potential of ChatGPT as an innovative tool in analyzing data and predicting market trends within the context of business information systems. This research employs a literature review approach with a qualitative methodology and descriptive analysis. Data were obtained from Google Scholar for the period of 2003-2024. The study results indicate that in an era where data has become the most valuable asset for companies, the ability to analyze and understand data effectively is key to success. In this context, the role of ChatGPT as an innovative tool for data analysis and market trend prediction in business information systems becomes highly significant. ChatGPT possesses the capability to comprehend and process human language with a high level of complexity, thus enabling it to harness data in various beneficial ways for companies.

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