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All Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) VISA: Journal of Vision and Ideas
Rilia, Cintana Aisyah
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Etika Berkomunikasi di Era Digital: Eksplorasi Pola Interaksi dan Konten Berbahaya di Media Sosial Rilia, Cintana Aisyah; Malid, Abdul; Sari, Rika Puspita; Amiruddin, Amiruddin
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.3481

Abstract

Social media platforms have developed into important instruments for social interaction, communication, and information gathering. Through a series of routine actions, ethics provides humans with experience of how other people live their lives. This research method uses clustering data mining. Ethics can help human behavior in making judgments and acting in accordance with their philosophy of life. When deciding what to understand and what to do, ethics is a very useful tool. Because ethics can be applied to every aspect of life, ethics can be categorized into several areas based on facets or aspects of human life. Relations between people will be positive and friendly if there is good communication ethics. Therefore, social media users should think about the implications of the material and comments they publish. Additionally, respect and empathy for other individuals is an important component of social media communication etiquette. If communication ethics are not understood, miscommunication will arise, giving rise to debates and conflicts that can damage social harmony.
Classification of Chicken Meat Freshness Using Support Vector Machine and Hue Saturation Intensity Rilia, Cintana Aisyah; Sriani, Sriani
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.440

Abstract

Chicken meat is a popular source of animal protein in Indonesia due to its high nutritional value, affordable price, and easy processing. The identification of chicken meat freshness is currently still done manually through visual or tactile inspection, but this method has limitations, especially if consumers are less skilled in distinguishing the quality of chicken meat freshness. Therefore, an automated system is needed to classify the freshness level of chicken meat based on images. This research aims to develop an image processing system in classifying the freshness level of chicken meat by utilizing the Support Vector Machine (SVM) method with Hue Saturation Intensity (HSI) based color feature extraction. This process is done by converting the RGB image into HSI, then extracting the Hue, Saturation, and Intensity values and classifying using a polynomial kernel. This study used 450 chicken meat images, with 360 training data and 90 test data. The developed system successfully achieved an accuracy of 65.56%. The test results show that the system is reliable in classifying the freshness level of chicken meat. This system has the potential to support the identification of meat freshness efficiently and objectively, while at the same time improving food safety.
Co-Authors Amiruddin Amiruddin Malid, Abdul Rika Puspita Sari