Article Per Year (5 Year)
p-Index From 2021 - 2026
1.126
P-Index
This Author published in this journals
All Journal Elkom: Jurnal Elektronika dan Komputer Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Manajemen Informatika & Teknologi
Silviana Windasari
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Application of RED and PCQ Algorithms for Network Traffic Management in CBT Systems Prastika Indriyanti; Abdurohman; Rahman Hakim; Adi Affandi Rotib; Silviana Windasari
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/tcjwkj28

Abstract

The digital transformation in education has encouraged the adoption of computer-based tests (CBT) using video content, which demands stable and efficient network performance. This study aims to evaluate the performance of two queue management algorithms, namely Random Early Detection (RED) and Per Connection Queue (PCQ), in maintaining the quality of service (QoS) of school networks during online video-based examinations. A case study approach was applied using a real network topology in a school environment, and QoS parameters such as throughput, delay, packet loss, and jitter were measured. The implementation was conducted using a MikroTik RB450Gx4 router configured with simple queue settings for each algorithm. The results show that PCQ provides more consistent performance under high user loads, achieving an average throughput of 56,482 bps and lower delay compared to RED. Conversely, RED performs better in scenarios with a small number of users. The study recommends using PCQ for networks with dynamic and dense user environments, while RED is more suitable for low-traffic conditions where latency stability is crucial. These findings offer practical guidance for managing bandwidth and improving the quality of CBT delivery in educational settings.
Improved Website SecurityUsing SSL and HAProxy Based PFSense Routers Ade Frihadi; Silviana Windasari; Mardiyan Dama; Bayu Bagaskoro; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.888

Abstract

Website security is a crucial aspect in the face of increasing cyber threats. This study aims to implement website protection using SSL (Secure Sockets Layer) and HAProxy (High Availability Proxy) through a PFSense router, and to evaluate its effectiveness using the securityheaders.com platform. The methodology used is an experimental study with a reverse proxy server configuration based on HAProxy and SSL certificates from Let's Encrypt. Measurement results indicate an improvement in the website's security score after the configuration was applied, particularly in security headers such as Strict-Transport-Security, X-Frame-Options, and Content-Security-Policy. This research contributes to strengthening web security architecture that is simple, efficient, and openly adoptable by government institutions and medium-scale organizations that require open-source-based security solutions.
Single Tone Trigger Implementation for Seamless and Automated Broadcast to Ad Insertion Dama, Mardiyan; Windasari, Silviana; Adi Affandi Rotib; Frihadi, Ade; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.889

Abstract

Abstract. The advancement of broadcasting technology has driven the demand for reliable and efficient automation systems, particularly in managing the transition from broadcast content to advertisement segments. In this context, the present study proposes the application of the Single Tone Trigger (STT) method as an automatic triggering mechanism to systematically regulate content switching. This method utilizes a single-frequency audio signal embedded within the primary broadcast, which can be detected by the receiving system. The detection of this signal initiates an automatic content transition without requiring intervention from playout operators. A key advantage of this approach lies in its ease of integration with conventional broadcasting systems and its ability to reduce manual involvement that has traditionally been essential in broadcast content management. Through a series of tests, the system demonstrated high signal detection accuracy, low latency, and optimal operational reliability. These findings indicate that the Single Tone Trigger method can significantly enhance workflow efficiency within the broadcasting industry. Overall, this approach presents substantial potential for broad implementation as an automation solution that is not only stable and cost-effective, but also adaptive to the operational demands of modern broadcasting.   Keywords: Automatic Transition, Broadcast Automation, Single Tone Trigger (STT).
Leveraging Blockchain Technology to Enhance Data Integrity and Transparency in Government Data Centers Rotib, Adi Affandi; Windasari, Silviana; Bayu Bagaskoro; Ade Frihadi; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.891

Abstract

Abstract. Government data centers in Indonesia face significant challenges related to data integrity and transparency, impacting policy-making accuracy, operational efficiency, and public trust. Data fragmentation, information inconsistency, and vulnerability to manipulation and cyberattacks have become crucial issues. Blockchain technology, with its fundamental characteristics such as decentralization, immutability, cryptography, and consensus mechanisms, offers innovative solutions to address these problems. This research employs a systematic literature review and conceptual analysis approach to identify how blockchain principles can be effectively applied. The proposed conceptual model, which utilizes permissioned blockchains like Hyperledger Fabric and distributed storage systems such as the InterPlanetary File System (IPFS), demonstrates significant potential in creating a secure, transparent, and auditable data ecosystem. Blockchain implementation is expected to enhance data security, strengthen auditability, prevent fraud, improve operational efficiency, securely manage digital identities, and increase data availability and redundancy. Although implementation challenges exist, including technical complexity, immature regulations, costs, and human resource gaps, global case studies and initial initiatives in Indonesia indicate significant feasibility and benefits. This report recommends a holistic approach encompassing adaptive regulatory development, infrastructure and human resource investment, phased pilot projects, and multi-stakeholder collaboration to realize blockchain's full potential in improving government data governance.   Keywords: Blockchain, Cybersecurity, Data Integrity, Data Transparency, Government Data Center
Optimization of Logistics Electrical Systems with a Safety Approach Bagaskoro, Bayu; Windasari, Silviana; Abdurohman, Abdurohman; Afandi, Adi; Frihadi s, Ade
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.892

Abstract

Electrical systems are fundamental infrastructures that support the operational continuity of logistics companies. However, without a structured approach to safety and optimization, these systems can become a source of inefficiency and risk. This study aims to analyze and optimize the use of electrical systems within logistics environments by applying a safety-oriented framework. The research investigates how electricity is distributed, utilized, and safeguarded in logistics companies and warehouses. Using a combination of observational methods and literature-based analysis, the study identifies critical issues related to energy reliability, system efficiency, and workplace safety. The findings are expected to contribute to the development of safer, more resilient, and energy-efficient electrical infrastructures in logistics operations.   Keywords: Electrical system, logistics optimization, safety, warehouse, infrastructure.
Rescue Drone Swarm Design for Innovative Disaster Management and Rescue Operations Silviana Windasari; Abdurohman Abdurohman; Mardiyan Dama; Ade Frihadi; Bayu Bagaskoro
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/n2anez60

Abstract

Conventional emergency response strategies are often constrained by limited operational coverage, slow resource mobilization, and fragmented data acquisition, hindering coordination effectiveness during critical phases. This research proposes the design of an autonomous drone swarm system to support innovative disaster management and rescue operations. A coordinated multi-agent based system is designed to perform real-time monitoring, structured search and rescue, and post-disaster infrastructure evaluation. Rule-based behavioral modeling is used in complex emergency scenarios. Initial simulation results show greater area coverage, accelerated response times, and increased mission adaptability under dynamic conditions. The system is also designed to deliver logistical assistance such as food and medicine to hard to reach areas, such as ravines or steep mountains. The integration of artificial intelligence algorithms improves target identification precision as well as adaptive swarm response. This model is considered to have transformational potential to be the foundation for the development of future rapid-response autonomous rescue systems.  
Parameter Optimization of Battery Energy Storage System Considering Degradation Using Reinforcement Learning Muhammad Dzaky Ashidqi; Windasari, Silviana; Rahmat, Rahmat; Probokusumo, Probokusumo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.24882

Abstract

Accurate and sustainable operation of battery energy storage systems (BESS) is critical for supporting renewable energy integration, ensuring both short-term reliability and long-term asset preservation. This study proposed a reinforcement learning (RL)-based scheduling framework designed to minimize power mismatch while mitigating degradation in lithium-ion batteries. The framework dynamically adapted to fluctuations in photovoltaic generation and residential load, enabling real-time decision-making. The performance was evaluated over a 30-day horizon using three indicators: average power mismatch, cumulative capacity loss, and system stability index (SSI). Results demonstrated that the proposed method achieved near-perfect load balance with an average mismatch of only 0.002 kW, while cumulative degradation remained limited to 0.22% and SSI was maintained at 0.96, reflecting high operational stability. The estimated daily degradation rate of 0.0073% corresponded to an annual capacity loss of approximately 2.7%, significantly lower than the 5–6% typically observed in uncontrolled cycling scenarios. Comparative analysis with simulated annealing (SA) and multi-objective genetic algorithm (MOGA) highlighted the balanced performance of the RL method. While MOGA eliminated mismatch at the expense of excessive degradation (0.60%) and simulated annealing reduced degradation but suffers from high mismatch (0.012 kW), the RL framework delivered the most balanced trade-off across all metrics. These findings confirm the potential of RL as a practical and sustainable strategy for PV–BESS integration, providing both technical resilience and extended battery lifetime.
Co-Authors Abdurohman Abdurohman Abdurohman Abdurohman, Abdurohman Ade Frihadi Adi Affandi Rotib Afandi, Adi Bagaskoro, Bayu Bayu Bagaskoro Dama, Mardiyan Frihadi s, Ade Frihadi, Ade Indriyanti, Prastika Mardiyan Dama Muhammad Dzaky Ashidqi Probokusumo, Probokusumo Rahman Hakim Rahmat Rahmat Rotib, Adi Affandi