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ANALISIS PERFORMA RANCANG BANGUN SISTEM LIVE STREAMING MENGGUNAKAN SOFTWARE ENCODER VMIX priyambudi, Rizal; Pinasthika, Stanislaus Jiwandana
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4972

Abstract. Live streaming is a technology that allows the distribution of audio and video content in real-time over the internet. In this study, Quality of Service (QoS) performance testing will be conducted in the implementation of live streaming on Television broadcasting systems using Vmix encoder software. Testing is done by giving variations in bitrate values of 500 kbps, 750 kbps, 1000 kbps, and 1250 kbps during the video upload process to the server. Then, during the video content download process from the server, variations in the number of clients will be given with one, two, and three clients. The test results show that a bitrates of 1250 kbps provides the best QoS value with a delay of around 5.177 ms, jitter of 8.635 ms, packet loss of 0.422%, and throughput of 1429.206 kbit. For the download process test, two active clients provide the best QoS qualification with a delay value of 5.0988 ms, jitter of 8.639 ms, packet loss of 0.6022%, and throughput of 1604.9635 kbit.

Balanced Security and Privacy Protection in Digital Content Distribution Systems Prihandoko, Antonius Cahya; Pinasthika, Stanislaus Jiwandana; Ghodosi, Hossein
Jurnal Teknologi dan Manajemen Vol 6, No 2 (2025): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2025.v6i2.7800

Security protection for content providers is essential in a digital content distribution system so that only authorized users can access the content. However, focusing on the security aspect often makes the system ignore the privacy of content users. This article presents a model of protocol that can provide balanced protection of content provider security and user privacy in a digital content distribution system. This protocol is based on oblivious transfer (OT), a standard protocol in cryptography that allows the sender of a message to send a certain amount of information securely to the recipient of the message, such that at the end of the protocol the recipient of the message cannot access more information than specified, while the sender of the message cannot know which information was successfully accessed by the recipient. Assuming the existence of tamper-proof devices, the protocol presented in this article can provide excellent protection for both the security of content providers and the privacy of content users.

ANALISIS PERFORMA RANCANG BANGUN SISTEM LIVE STREAMING MENGGUNAKAN SOFTWARE ENCODER VMIX priyambudi, Rizal; Pinasthika, Stanislaus Jiwandana
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4972

Abstract. Live streaming is a technology that allows the distribution of audio and video content in real-time over the internet. In this study, Quality of Service (QoS) performance testing will be conducted in the implementation of live streaming on Television broadcasting systems using Vmix encoder software. Testing is done by giving variations in bitrate values of 500 kbps, 750 kbps, 1000 kbps, and 1250 kbps during the video upload process to the server. Then, during the video content download process from the server, variations in the number of clients will be given with one, two, and three clients. The test results show that a bitrates of 1250 kbps provides the best QoS value with a delay of around 5.177 ms, jitter of 8.635 ms, packet loss of 0.422%, and throughput of 1429.206 kbit. For the download process test, two active clients provide the best QoS qualification with a delay value of 5.0988 ms, jitter of 8.639 ms, packet loss of 0.6022%, and throughput of 1604.9635 kbit.

CLASSIFICATION OF COFFEE LEAF SPOT DISEASES USING THE RESIDUAL NEURAL NETWORKS Pinasthika, Stanislaus Jiwandana; Hizham, Fadhel Akhmad; Harvyanti, Annisa Fitri Maghfiroh
Jurnal Riset Informatika Vol. 8 No. 2 (2026): Maret 2026
Publisher : Kresnamedia Publisher

Coffee is one of the competitive commodities that requires detailed quality control. The common diseases that attack coffee plants are miner, rust, and phoma. Despite their visual similarity, the diseases differ in symptoms and treatments, requiring precise identification aided by computer vision. Miner and phoma have similar image features that are challenging in this study. Avoiding treatment error, several deep learning approach is needed to help classify the diseases. One of the robust methods is the Residual Network. Considering the number of datasets and alignment with the state-of-the-art, this study picked ResNet50 and ResNet101 to be observed. This study employed ResNet50 and ResNet101 in two scenarios. The first scenario was training the models on datasets without preprocessing, while the second scenario trained models on processed datasets. The preprocessing involved converting the color model to HSV and taking the range of leaf spot color from light red to dark brown for color segmentation. This study successfully achieved accuracy, precision, and F1-score at 89,16%, 89,42%, and 89,15% respectively, for the ResNet50 model trained on preprocessed data, slightly higher than the metrics of ResNet101. The ResNet101 achieved 87.95% of accuracy, 88.05% of precision, and 87.98% of F1-Score. These results indicate that ResNet50 is more robust for classifying the leaf spot, and the color segmentation helped the model to optimize the performance

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