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Yudha Satria
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Computer Science & IT Engineering

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KLASIFIKASI PENGGUNAAN DATA TRAFIK INTERNET MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Pitrasacha Adytia; Wahyuni Wahyuni; Kelik Sussolaikah; Yudha Satria
J-ICON : Jurnal Komputer dan Informatika Vol 11 No 1 (2023): Maret 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i1.10039

Abstract

It is undeniable that nowadays, the internet is essential for various needs. STMIK Widya Cipta Dharma is no exception. The internet is widely used in the campus environment by students, lecturers and education staff. Teaching and learning activities and work in the campus environment are inseparable from the need to use the internet. However, internet usage time sometimes accumulates in certain hours and causes slow internet speeds. This is influenced by the large number of header packets sent in the internet traffic flow, so the connection becomes heavy and feels sluggish. Therefore, a classification method is needed to provide information about the activities of students, lecturers and academic staff using the internet. The classification algorithm used is the Support Vector Machine (SVM). The development method used is SKKNI Number 299 of 2020. The parameters used are the flow of packets sent by the user and packets received by the user. The results of this study are in the form of an SVM algorithm model that can classify current internet traffic usage into four categories, namely Download, Game, SocialNetwork, and Web, which has an accuracy of 64% using the Radial Basis Function (RBF) kernel. The resulting accuracy results are pretty low and make the SVM algorithm unsuitable for classifying internet traffic and the need for other methods to classify internet traffic.
OPTIMALISASI EKSTRAKSI DAN UJI STABILITAS PHYCOCYANIN DARI MIKROALGA Spirulina platensis Bakti Jos; Prayudi Eko Setyawan; Yudha Satria
TEKNIK Vol 32, No 3 (2011)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.469 KB) | DOI: 10.14710/teknik.v32i3.1734

Abstract

The growing awareness of the importance of natural colours especially food and cosmetic colorants has placedgreat demand on biological sources of natural colours. It is for this reason that the phycobiliproteins inSpirulina platensis is gaining increasing attention as an alternative colour for these products. Numerousscientific reports confirm the fact that Phycocyanin from Spirulina platensis, is not only an effective naturalblue colorant, but also a compound that is beneficial to the health of the consumer. The aim of this research is toconduct evaluation studies phycocyanin production by extraction with polar solvents at various concentrationsto obtain extracts for maximum yield. The methods in this study has several stages, namely preparation ofmaterials, extraction, solubility studies of phycocyanin, phycocyanin’s stability test. Changing variables in thisstudy are water, acetic acid 70%, 75%, 80%, ammonium sulphate 50%, 55%, 60%. The analysis of the extractsof phycocyanin’s content using spectrophotometric methods. The observations produces a blue pigment whichhas the highest color intensity with maximum absorbance of 620 nm. Acetic acid 80% is the most effectivesolvent to extract the blue pigment phycocyanin than water and ammonium sulfate. Extraction is influenced bythe pH of the increase in absorption (absorbance) with increasing pH and was not influenced by storagetemperature and time
Co-Authors Bakti Jos Kelik Sussolaikah Pitrasacha Adytia Prayudi Eko Setyawan Wahyuni - Wahyuni