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All Journal Sisforma: Journal of Information Systems Jurnal Teknik Elektro
Ase Suryana
Widyatama University
Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science

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Evaluation of E-learning Activity Effectiveness in Higher Education Through Sentiment Analysis by Using Naïve Bayes Classifier Eka Angga Laksana; Ase Suryana; Heri Heryono
SISFORMA Vol 5, No 1 (2018): May 2018
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.469 KB) | DOI: 10.24167/sisforma.v5i1.1450

Abstract

Sentiment analysis as part of text mining research domain has been being recognized due to the successful implementation in social media analysis. Sentiment analysis methods had intelligent ability to classify texts into negative or positive. Classified texts concluded whole users respond and described opinion polarity about particular topic. Based on this idea, this research took e-learning’s users opinion as object to be measured through sentiment analysis. The results can be used to evaluate the e-learning activity. This research had been implemented in Widyatama University which had been running e-learning activity for several years. Qualitative method by given questioner to users and gather the feedback is commonly used as evaluation of e-learning system previously. Still, questioner doesn’t represent the conclusion about the whole opinion. Hence, it needs the method to identify opinion polarity from e-learning member. The e-learning opinion data sets were gathered from questioner filled by e-learning member included both student and lecturer as participants. The participants gave review about learning outcome after their participation in e-learning activity. Their opinion was needed to describe current situation about e-learning activity. Therefore, the conclusion could be used to make improvement and described few achievements about the e-learning system. The data sets trained by Naïve Bayes classifier to group each user respond into negative or positive. The classification results were also evaluated by a number of particular evaluation metric used in data mining to show the classifier performance such as accuracy, precision, and recall.
Design and Analysis of a Hexagonal Patch Antenna Operating at 3.5 GHz for Wireless Communication Applications Yudi Barnadi; Ajeng Mayang Kurniaviep Sugeng; Ase Suryana; Arief Budi Santiko
Jurnal Teknik Elektro Vol. 16 No. 2 (2024): Jurnal Teknik Elektro
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i2.13902

Abstract

Microstrip antennas are widely recognized for their compact structure, low profile, and ease of fabrication, making them highly suitable for modern wireless communication systems. Traditionally, these antennas incorporate a rectangular metallic patch as the radiating element. In this study, a novel microstrip antenna design featuring a hexagonal metal patch is proposed, specifically optimized to resonate at 3.5 GHz, a frequency band allocated for 5G wireless communication applications. The antenna is constructed on an F4BMX220 substrate with a thickness of 1.5 mm, chosen for its favorable dielectric properties and mechanical stability. The feeding mechanism employs an inset-fed microstrip line, enabling better impedance matching and improved power transfer. A full ground plane is used on the underside of the substrate to enhance isolation and minimize back radiation. The complete design, simulation, and optimization processes are carried out using CST Studio Suite, a professional electromagnetic simulation tool. Key performance parameters such as return loss (S11), directivity, and gain are thoroughly analyzed. The design aims to achieve an S11 value below -10 dB, ensuring efficient radiation at the target frequency. With its optimized structure and favorable performance, the proposed antenna serves as a promising candidate for integration into next-generation 5G communication systems. Based on the fabricated prototype, the antenna demonstrates a gain of 4.5 dBi and a bandwidth of 24 MHz.
Co-Authors Ajeng Mayang Kurniaviep Sugeng Arief Budi Santiko Eka Angga Laksana Heri Heryono Yudi Barnadi