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All Journal Jurnal Indo-Islamika Madrasah: Jurnal Pendidikan dan Pembelajaran Dasar Jurnal Informatika Upgris Jurnal Pilar Nusa Mandiri JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL SYARIKAH : JURNAL EKONOMI ISLAM Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Tabarru': Islamic Banking and Finance GERVASI: Jurnal Pengabdian kepada Masyarakat DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Respirasi (JR) World Nutrition Journal Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information Indonesian Journal of Sociology, Education and Development (IJSED) Journal of Environmental Science Sustainable Kosala : Jurnal Ilmu Kesehatan Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Ilmu Kesehatan Indonesia (JIKSI) The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Bengawan :Jurnal Pengabdian Masyarakat SmartComp Neurona Proceeding of International Conference on Humanity Education and Society Preventif : Jurnal Kesehatan Masyarakat
Wiji Lestari
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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

 1 
IMPLEMENTATION OF FUZZY INFERENCE SYSTEM (FIS) FOR CARDIOVASCULAR DISEASES PREDICTION Sumarlinda, Sri; binti Rahmat, Azizah; Awang Long, Zalizah binti; Lestari, Wiji
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3418

Abstract

Abstract- Cardiovascular diseases (CVDs) continue to be a leading cause of mortality worldwide. Early and accurate prediction of CVDs risk is crucial for effective prevention and management. This study presents the implementation of a Fuzzy Inference System (FIS) for predicting suseptibility cardiovascular diseases. The implementation of FIS for the prediction of cardiovascular disease is by determining the membership function for risk factors that influence the susceptibility of the disease. The FIS developed in this study integrates five risk factors, including age, systolic blood pressure, diastolic blood pressure, blood sugar and cholesterol and one output parameter CVDs prediction. The FIS method used Mamdani with 162 rules. Real-world patient data diagnosed with cardiovascular disease is used to train and validate the FIS. Validity testing produces 100% valid data. Testing is carried out using patient data. The method used to validate the results of the FIS implementation is by distributing questionnaires to several paramedics.. These findings provide insights into further refinements of CVD risk modeling and potential applications in clinical practice.
IMPLEMENTATION OF ASSOCIATION RULES USING APRIPORI ALGORITHM FOR ANGKRINGAN Lestari, Wiji; Hasanah, Herliyani; Susanto, Rudi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3425

Abstract

Angkringan is a culinary business that is often found, especially in Surakarta and Yogyakarta in particular and Central Java in general. Most angkringan include small and medium enterprises (SMES). Food and drink merchandise mapping is an important thing in angkringan. In this research, food and drink mapping was carried out at several snack bars in Jebres sub-district, Surakarta city using word clouds and the Apriori algorithm. The word cloud will produce the dominant food and beverage itemsets which will then be processed using the Apriori algorithm. The results of mapping with the Apriori algorithm for food yield support(tempeh) = support (tofu) = 95 which is the highest. Relationship value between dominant itemsets: Confidence(tempeh, tofu→satay, milkfish rice, quail egg, bakwan) = 21. Results for drinks have the highest support value for tea, support(tea) = 100. Relationship value between dominant itemsets: Confidence(tea → coffee, milk, ginger) = 15.
Improvement Of Prediction Model Using K-Nearest Neighbors (Knn) And K-Means In Medical Data Lestari, Wiji; Sumarlinda, Sri; Binti Rahmat, Azizah
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4175

Abstract

Improving the performance of a prediction model is very important in its implementation. This study aims to improve the performance of the K-Nearest Neighbors (KNN) classification model with the K-Means clustering algorithm. The dataset used is UCI global data with 300 data and 12 features. The dataset is divided into 200 training data and 100 testing data. The training data is then processed by clustering with K-Means. The cluster centroid from the clustering results will be calculated for its distance from the testing data and produce data classification. The results of the classification process show that the accuracy of the proposed model is 76.45% better when compared to the results of the KNN classification process, for k = 5 the accuracy is 63.37%, k = 10 the accuracy is 64.36% and k = 15 the accuracy is also 64.36%.
Co-Authors Afifa, Nadhira Nuraini Agustin, Heidy Akmal, Baasith Khoiruddin Al-am, Maftah Rozani Anissa, Lidya Ariasti, Dinar Asa Wahyu Purnama, Theodorus Atho’urrohman, Wifqi Atima, Vihi Awang Long, Zalizah binti Azizah, Nikmatul binti Rahmat, Azizah Cahya, Bambang Dwi Chandra, Dian Novita Dhiana, Azis Sukma Diana Sunardi Fadhillah, Dian Agil Farid Faqih, Muhammad Fariz, Nurwidya Florencia Grifit Joiner, Da Costa Hornay Hanafi, Christi Giovani Anggasta Hasanah, Herliyani Helena Fabiani Herawati Herawati Irawan, Rosyid Rafi Ismawati, Mega Yuniar Istiqomariyah, Ernita Jamaludin, Bani Lin, Kenzie Hara Maria Kanan Maulindar, Joni Muhtarom, Moh Mulyanto, Hari Nibras Faiq Muhammad Ninik Mudjihartini Novemy Triyandari Nugroho Pipin Widyaningsih Pradana, Afu Ichsan Prasetiyo, Dwi Pratiwi, Sandi Puspita Prawirohajo, Pukovisa Putra, Fendi Ardya Rahmawati, Anni Ray March Syahadat Reni Widyastuti Rifa'i, Rifan Ronaldi, Abon Rubeda, Syukril Agaba Kalis Rudi Susanto Saidek, Abdul Rahim Shirly Rizki Kusumaningrum Silviana Pebruary Soe, Calvin Johnson Cannavaro Sondang Ratnauli Sianturi Steffi Sonia Sudarsa, Caca Sulisyowati, Sulisyowati Sumarlinda, Sri Surya, Clarissa Winata Syahputra, Paisal Syam, Shaogi Tai, Jacky Anderson Thantawi, Tubagus Rifqy Victoria, Chelsea zulfa, nely