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Comparison of routing protocol performance on multimedia services on software defined network Vivi Monita; Indrarini Dyah Irawati; Rohmat Tulloh
Bulletin of Electrical Engineering and Informatics Vol 9, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Software defined network (SDN) is a new paradigm in network engineering, where control plane and data plane are separated. Data plane is carried out on each node, while a control plane is centrally located. In conventional networks, the planes are implemented in the firmware of the router. In this paper, we implemented multimedia services on SDN using exterior and interior routing protocols, such as open shortest path first (OSPF), border gateway protocol (BGP) and routing information protocol (RIP), measured the quality of service (QoS), and analyze the measurement results. The test results showed that the greater the background traffic provided, the smaller the throughput. Traffic on the network will be congested, so the available bandwidth is also increasingly used up so that the number of bits sent every second decrease. Mean opinion score (MOS) test results are 4 showing good categories based on ITU-T standards.

Network Slicing Using FlowVisor for Enforcement of Bandwidth Isolation in SDN Virtual Networks Vivi Monita; Wisnu Wendanto; Endang Anggiratih
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26533

Software-defined networking (SDN) is becoming increasingly popular because of features such as programming control, embedded monitoring, fine-grained control, flexibility, support for many tenants, and scalability. Problems with the prior design, known as the conventional network, include the need to configure each network device individually, decentralized control, and a persistent issue with tenant enforcement for multitenant support. Tenants are unable to administer their networks without disturbing their neighbours. In this research, network slicing on SDN will ensure tenant isolation using FlowVisor and an SDN controller. Flowspace, which is part of FlowVisor capable of implementing network isolation, is for isolation in this research. Multitenancy is supported in SDN via the network slicing technique. Two types of renters were employed, and two testing procedures connectivity and functionality were run to meet the research objectives. This research produced several findings, including that all hosts were correctly linked, and the connection was achieved without turning on FlowVisor. The host function can only send and receive data from hosts with the same tenant. The research results show that FlowVisor can be applied for isolation enforcement. As a result of each tenant utilising their slice of the network without being interrupted by other slices, this research finds that utilising FlowVisor to construct Flowspace can segment the network to allow multitenancy. Expanding the number of slices for more study and testing in a real-world setting is possible.

Rainfall Prediction Using Random Forest and Decision Tree Algorithms Raniprima, Sevierda; Cahyadi, Nanang; Monita, Vivi
Journal of Informatics and Communication Technology (JICT) Vol. 6 No. 1 (2024)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/jict.v6i1.253

Weather

Rainfall Prediction Using Random Forest and Decision Tree Algorithms Raniprima, Sevierda; Cahyadi, Nanang; Monita, Vivi
Journal of Informatics and Communication Technology (JICT) Vol. 6 No. 1 (2024)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/jict.v6i1.253

Weather

Tinjauan Teknik Pengenalan Plat Nomor dengan DeepLearning Cahyadi, Nanang; Sherfina Salsabila; Sevierda Raniprima; Vivi Monita
Jurnal Teknologika Vol 14 No 2 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i2.415

This article reviews vehicle license plate recognition (LPR) using deep learning techniques, which have become essential in intelligent transportation systems, law enforcement, and parking management. Deep learning, particularly Convolutional Neural Networks (CNNs), has replaced traditional methods with more accurate and robust systems capable of handling diverse real-world conditions. The article explores various deep learning approaches in LPR, including fusion, two-stage, end-to-end, multi-branch, and generative methods. Fusion methods combine deep learning with traditional image processing to enhance accuracy. Two-stage methods separate the detection and recognition tasks into different models. End-to-end methods use a single model for both detection and recognition, improving efficiency and reducing errors. Multi-branch methods employ parallel neural network branches to handle different tasks simultaneously, such as plate detection and character recognition. Generative methods use Generative Adversarial Networks (GANs) to create realistic license plate images, boosting recognition performance. The article evaluates these methods on benchmark datasets and identifies challenges, such as improving robustness under extreme weather conditions, developing lightweight models for real-time processing on constrained devices, and addressing privacy and security concerns. This review offers a comprehensive overview of the latest advancements in deep learning-based LPR technology and its potential applications.

Pelatihan Pemanfaatan Internet di Bidang E-Commerce dalam Meningkatkan Keahlian SDM Komunitas Wisata Baluwarti Solo: - Budiningtyas, RR. Erna Sadiarti; Zayid Musiafa; Vivi Monita; Tutus Praningki
Abdi Psikonomi Vol 5, No 1 (2024): Juni 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/psikonomi.v5i1.4471

The Baluwarti Tourism Community is a community that engages in tourism, spa therapy services, herbal medicine, culinary, and textile-fashion. The community has the potential to utilize technology for marketing and sales. However, the Baluwarti Tourism Community has not yet utilized e-commerce for marketing. This community service activity aims to improve the skills of the Baluwarti Tourism Community's human resources in marketing their products through e-commerce. The activity was carried out in three stages: preparation, mentoring, and evaluation. The results of the activity showed that members of the Baluwarti Tourism Community experienced an increase in skills in the field of digital-based technology, especially in the use of e-commerce. In addition, the activity also succeeded in building a partnership between the Baluwarti Tourism Community and UPITRA University. In conclusion, this community service activity has successfully achieved its goals. The activity has improved the skills of the Baluwarti Tourism Community's human resources in marketing their products through e-commerce, building partnerships, and sustainability.

PENERAPAN RE-DESIGN USER INTERFACE DAN USER EXPERIENCE PADA WEBSITE TPA HIMAWARI KREO DALAM MENINGKATKAN PELAYANAN PADA MASYARAKAT Monita, Vivi; Rachmawati, Rizka; Melati, Seshariana Rahma; Rahmadi, Rahmadi; Firman, Reza Ramadani; Rahmawati, Putri
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) - Inpress
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v5i1.128

Website yang user-friendly menjadi kebutuhan penting bagi organisasi layanan, termasuk TPA Himawari Kreo, yang memerlukan platform digital untuk menyampaikan informasi secara efektif dan mendukung interaksi dengan orang tua. Namun, desain antarmuka dan pengalaman pengguna User Interface (UI) dan User Experience (UX) pada website TPA Himawari Kreo saat ini kurang optimal, yang menghambat akses informasi oleh pengguna. Untuk mengatasi hal ini, program pengabdian kepada masyarakat ini menggunakan metode Human-Centered Design (HCD) guna merancang ulang UI/UX website TPA Himawari Kreo dengan fokus pada kebutuhan dan preferensi pengguna. Metode HCD melalui tahapan inspiration, ideation, dan implementation. Tahap inspiration dilakukan melalui survei dan wawancara untuk memahami kebutuhan pengguna dan mengetahui hambatan yang sering dihadapi. Ide-ide desain dikembangkan dalam tahap ideation, dan tahap implementation memastikan desain akhir memenuhi harapan pengguna yang dilakukan dengan memperoleh validasi dari target pengguna. Hasil pengabdian masyarakat ini menunjukkan peningkatan dalam kemudahan akses informasi, keterlibatan dan kenyamanan pengguna, serta meningkatkan citra profesional TPA Himawari Kreo di mata calon pengguna.

Analysis of Pneumonia from Chest X-Ray Images Using an Optimized Ensemble Machine Learning Models with Voting Classifier Monita, Vivi; Hanan Lutfianto, Naufal; Dyah Irawati, Indrarini
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3689

Pneumonia is a pulmonary disease resulting from infections caused by bacteria, viruses, or fungi that invade the lungs. This condition leads to inflammation due to the accumulation of fluids, blood cells, and other substances in the alveoli. Common symptoms experienced by patients include fever, coughing, and production of phlegm. Although pneumonia can affect individuals of any age, those with weakened immune systems are particularly vulnerable. Children and elderly individuals are especially prone to contracting this illness. The present research employs an ensemble learning approach for pneumonia detection using chest x-ray images to address this issue, specifically integrating support vector machines (SVMs) and random forests (RFs). The primary aim is to evaluate the effectiveness of ensemble learning through a voting classifier in improving pneumonia detection accuracy compared to individual machine learning models. The methodology includes preprocessing the data with contrast-limited adaptive histogram equalization (CLAHE), which minimizes noise by defining a kernel matrix and substituting each pixel's intensity with the weighted average of its neighboring pixels and itself. The research also involves training models using SVM and RF algorithms with hyperparameter optimization. These individual models are then assessed and compared using performance metrics such as accuracy, area under the curve (AUC), specificity, sensitivity, confusion matrix, and computational efficiency. By harnessing the strengths of ensemble learning, this research aims to contribute to the development of reliable pneumonia detection systems, with potential applications in clinical environments where timely and accurate diagnosis is essential for patient management. This research achieved 99.40% and 96.32% accuracy, 99.97% and 96.52% AUC, and 0.0436% and 0.0451% loss. This method tackles others that use deep learning and single machine learning with all balanced datasets.

Penguatan Identitas Visual dan Media Informasi melalui Perancangan Web Lihai Islamic Preschool Rachmawati, Rizka; Monita, Vivi; Yudiansyah, Yudiansyah; Niswah, Nailah Khairun; Rahmah, Githa Desyana Nur
Indonesian Journal for Social Responsibility Vol. 7 No. 02 (2025): December 2025
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v7i02.522

Enhancing visual identity and information media is crucial for elevating the image and competitiveness of an educational institution. Lihai Islamic Preschool, which provides playgroup programs for children aged 2 to 6 years using the Ihsan, Active, and Happy approach, requires effective information media to present its vision, mission, and educational programs to the broader community. This community service initiative aims to conceptualize and develop a web that serves as a platform for information dissemination and communication. The web is crafted to meet professional standards, aesthetic appeal, and improved accessibility. The methods used in this activity include needs analysis, web structure and design, content creation (both visual and textual), and training for Lihai Islamic Preschool managers on web usage and maintenance. The result of this initiative is an interactive web that presents information comprehensively, strengthens the institution's visual identity, and enhances accessibility to information for prospective parents and the public. It is expected that this web will foster greater recognition and trust in Lihai Islamic Preschool as a model educational institution committed to nurturing early childhood character development. Additionally, this web serves as an effective communication medium between the educational institution and the community, facilitating the advancement of technology-based education that is more adaptive and contemporary.

Network Slicing Using FlowVisor for Enforcement of Bandwidth Isolation in SDN Virtual Networks Monita, Vivi; Wendanto, Wisnu; Anggiratih, Endang
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26533

Software-defined networking (SDN) is becoming increasingly popular because of features such as programming control, embedded monitoring, fine-grained control, flexibility, support for many tenants, and scalability. Problems with the prior design, known as the conventional network, include the need to configure each network device individually, decentralized control, and a persistent issue with tenant enforcement for multitenant support. Tenants are unable to administer their networks without disturbing their neighbours. In this research, network slicing on SDN will ensure tenant isolation using FlowVisor and an SDN controller. Flowspace, which is part of FlowVisor capable of implementing network isolation, is for isolation in this research. Multitenancy is supported in SDN via the network slicing technique. Two types of renters were employed, and two testing procedures connectivity and functionality were run to meet the research objectives. This research produced several findings, including that all hosts were correctly linked, and the connection was achieved without turning on FlowVisor. The host function can only send and receive data from hosts with the same tenant. The research results show that FlowVisor can be applied for isolation enforcement. As a result of each tenant utilising their slice of the network without being interrupted by other slices, this research finds that utilising FlowVisor to construct Flowspace can segment the network to allow multitenancy. Expanding the number of slices for more study and testing in a real-world setting is possible.

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