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Analisis Sentimen Terhadap Sistem Informasi Akademik Mahasiswa pada Aplikasi Edlink dengan Metode K-Nearest Neighbor Citra Pricylia Ananda Mulya; Veri Arinal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3017

Abstract

The Sevima Edlink application is an academic information system that is widely used by educational institutions in Indonesia to manage student academic data and information. Although this application has various useful features, its successful implementation also depends greatly on user satisfaction and acceptance. Therefore, it is important to analyze user sentiment towards these applications to identify existing strengths and weaknesses. This research aims to analyze user sentiment towards the Sevima Edlink application using the K-Nearest Neighbor (K-NN) method. The K-NN method was chosen because of its simplicity and effective ability to classify sentiment data. The data used in this research are reviews from application users collected from various sources. The results of this research used the K-NN method, namely an accuracy value of 94.47%. So it can be said that the K-KNN algorithm can classify data well and correctly.
Efektivitas Penggunaan Ruang Warna HSV untuk Klasifikasi Daging Sapi Segar dan Busuk dalam Industri Pangan Dadang Iskandar Mulyana; Veri Arinal; Feri Akbarulloh
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3129

Abstract

Beef is a source of animal protein which is very important in the human diet. The quality of beef determines the nutritional value and taste of the processed meat product. However, the quality of beef can decrease over time, especially if it is not stored properly. Therefore, identifying the condition of beef is crucial to ensure that consumers get safe and quality products. The use of the HSV (Hue, Saturation, Value) color space for beef classification is an interesting method to research. The HSV color space is closer to human perception of color compared to the RGB color space, making it more effective for image analysis in the context of visual quality assessment of meat. In this study, researchers used HSV space extraction to classify fresh beef and bad beef. This research aims to develop a method for classifying fresh, medium and rotten beef using the HSV color space. This research produces accurate extraction results with appropriate classification of fresh and bad beef.
Expert System for Diagnosing Brain Tumors Using the Certainty Factor (CF) Method Veri Arinal; Nuary Inaldi Simarmata
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3825

Abstract

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method.
Co-Authors Adella Fitriany Cahyana Adityo Purwo Nugroho Agus Tanti Rahayu Ahluna, Faza Ahmad Tarwanto Akbar, Yuma Akbarulloh, Feri Ali Akbar Ali Akbar Andriyana Fajar Angel, Gadies Anggi Ramadhan Anisa Puji Ikawati Anita Rosiana Arribatullah, Arribatullah Artha Patricia Atik Budi Paryanti Azizi, Doni Betty Yel, Mesra Bobby Arvian James Buulolo, Rupawan Calvin Bill Christian Gunawan Citra Pricylia Ananda Mulya Dadang Iskandar Mulyana` Dadang Iskandar, Dadang Dava Septya Arroufu Dede Sarikah Dhita Aidilla Dicky Saputra Dirgantoro, Bagus Dita Safira Dita Yuliana Dita Yuliana Doni Azizi Edi Nurhadi Edwin Sentosa Fajar, Andriyana Fa’aso Lase Febri Yoga Harjanto Feri Akbarulloh Fikryadi, Fikryadi Fiktor Kurnia Fiky Alan Nuari Fileni Zalukhu Ilham Wahyudi Indah Rosmalina Josua Pangaribuan Kurniawan Irfan Nauval M. Rohyan Zidan M.Rafli Fadillah M.Taufik Maulida, Aulia Melani, Melani Afsari Melli Puspita S Miftahul Ulum Miftahul Ulum Muhammad Nurur Raudhan Mulya, Citra Pricylia Ananda Nauval, Kurniawan Irfan Nayoan, Vallen Ezra Piter Niarti Agustiani Nova Esterina Silitonga Novi Septiani Nuary Inaldi Simarmata Nuary Inaldi Simarmata Nur Arif Khairudin Nurul Khoiriyah Nurwijayanti Paryanti, Atik Budi Patricia, Artha Prabowo, Renno Sandi Prabowo, Reno Sandi Prakoso Angga I Purnomo, Bening Sari Puspita, Melli Putra, Adaffi Aditya Putra, Adhy Hantar Putri Nugraheni Utami Putri, Seftiana Eka Radikto Rahayu, Agus Tanti Ramadhan, M. Anggi Reza Setiawan Reza Setiawan Reza Wanandi Riko Afriandika Rindy Julianda Rizky Adawiyah Rodhiyah Rodhiyah Romadan, Diva Putra Ronny Budi Santoso Royadi, Refi Nabillah Rusmarhadi, Irma Ryantina, Dessyanti Safira, Dita Saidah, Andi Sarimole, Francis Matheus Sarimole, Frencis Matheos Septiyana Bila Setya Putra Adenugraha Shabrina Sukma Wardana Shakila Shila Wati Shindy Apriyani Siti Nurhaliza Siti Raysyah Stepanus Stepanus Sugiyono Sugiyono Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna Tundo, Tundo Wandi Sanip Yaqien, Akmal Yuliya Putri P Yunita T Lubis