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Journal : Jurnal Indonesia Sosial Teknologi

Comparison of K Nearest Neighbor Algorithm with Apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients Steven, Steven; Wijaya, Ricky; Yawin, Helbert; Siregar, Saut Dohot
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 6 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i6.1134

Abstract

Hypertension is one of the most influential cardiovascular diseases that can lead to organ disorders such as heart dysfunction or stroke and hypertension is often discovered by chance. This disease can interfere with the work of other organs if left untreated, especially the heart and kidneys. Not paying attention to diet, exercise, stress, smoking, and drinking alcohol can all be causes of increased risk of hypertension. To predict people with hypertension and find out the comparison of behavior and lifestyle patterns with hypertension patients using a priori algorithm in the case study of Sei Semayang Health Center. So the results of rapidminer use the apriori algorithm to analyze the Comparison of K the nearest Neighbor Algorithm with the apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients the results obtained is U1 which means there are people with hypertension aged 25-38 years who have more hypertension and the results are H2 which means that people have but do not control to the doctor with a pattern style such as consuming alcohol, Smoking, and lack of exercise, sugar consumption, consumption of saturated fat and foods that contain a lot of salt and rarely consume vegetables or fruits and foods containing MSG then more and more people who have hypertension with an unhealthy lifestyle.
Implementation of the YOLO Method for Detection of Human Emotions Based on Facial Mimics Felison, Thomas; firtan, Erwin conery; Steven, Steven; Chandra, Willyam; Siregar, Saut Dohot
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i10.1196

Abstract

Emotion detection through facial expression recognition plays an important role in everyday life, such as how to respond correctly to emotional expressions in social interactions, so that you can establish and build verbal or nonverbal communication with other people and so on. Facial expressions are facial changes in response to a person's emotional state, intentions, or social communication. Face detection is the first step that must be taken in facial analysis, including facial expression recognition. There are many methods that can be used to carry out the face detection process, such as the YOLO method. This YOLO method reframes object detection as a single regression problem, directly from image pixels to bounding box coordinates and class probabilities. By using the YOLO method, the process only needs to look once at the input image, to predict what objects are in the image and where those objects are. Based on the results of the tests carried out, the YOLO method can be used to detect human facial expressions with a success rate of 80%, with neutral, surprise and disgust facial expressions having a good level of accuracy and fear facial expressions having a poor accuracy level. The YOLO method is able to detect facial expressions of humans who wear accessories such as glasses.
Co-Authors Adrian Adrian Agus Maulana Agustinus Fritz Wijaya Akbar Batubara, Faisal Alessandro, Febryan Andami, Helmina Andrew Verrayo Limas Antonius Wahyu Sudrajat Atrizka, diny Barata, Juliahir Bayu Kanigoro Carlyn, Caylie Chandra, Willyam Christine, Citra Eva Dafid Dafid de Fatima, Julio CA Delima, Hastuti Denny Christanto, Denny Devita Devita Dewanto, Julius B Dinata, Mulya Djuang, Michelle H. Dwi Putra, Achmad Irvan Elfrida Ratnawati Epriyanto Tri Darmadi Ernawati, Titiek Fadli, Mochammad Faisal Fathiah, Ritha Felison, Thomas Firtan, Erwin Conery Fitriano, Andre Francka Sakti Lee Fransisca, Vanessa Gading, Meiwindriya Mutya Gautama, Jocky Golan Hasan, Golan Greniati Silaban, Nadia Juike Gunawan, I Gusti Ngurah Anom Halim, Riandi Handoko, Koko Hanggraeni, Dewi Haried Novriando Hendy Tannady Herlina, Yani Hesniati, Hesniati Huda, Abil Ika Kartika Jan Horas Veryady Purba Jesichapramanda, Jesichapramanda Jesslieca, Jesslieca Johan, Johny Kavitan, Vebbie Laura Wihanto Lim, Albert Theriono Luaha, Khoisan L.N M Ezar Al Rivan Madiong , Baso Mardiyati, Mardiyati Mardiyati, Yati marpaung, winida Melkior N.N. Sitokdana Mendrofa, Feri A. Mirza, Deni Faisal Nanik Linawati Nasrullah, M. Ikhsan Paddy, Paddy Permatasari, Adinda Destaloka Putri Pratiwi, Sahira Jati Purba, Riski Herniko Purnamasari, Laelah Ricky Putra Ricky Wijaya Ridwan Arifin Rihadi, Lukas Slamet Rizkiawan, Sandi Robby, Robby Rochim Suratman Rodiyah - Ruslan Renggong Said, Fitriani Santosa, Sigit Puji Sapira, Mokalistiani Saragih, Yoni Masdwita Sari, Febby Afria Sarmila, Yeni Sholva, Yus Sigit Hartanto, Sigit Sihombing, Benjamin Sihombing, Nopalina SIHOTANG, DONI SUGIANTO Silitonga, Sutan Parasian Sincihu, Yudhiakuari Siregar, Saut Dohot Siti Helmyati Srahputri, Nurdesri Sudianto, Kevin Fransisco Susetio, Mercy Mezia Suwasanti, Niluh Tanoto, Steffi Tanzil, William Usep Suhud Vania Vania Vania, Aline Victor Victor Vivian Vivian Waty, Indah Widia, Widia Winda Anggraeni Wulansari, Nurlita Yana Erlyana, Yana Yanuar Yanuar, Yanuar Yawin, Helbert Yoni F Syukriani