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All Journal Building of Informatics, Technology and Science JURNAL SOSIAL TERAPAN (JSTR)
Aditya, Naufal
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Computer Science & IT Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Healthy Food Recommender System for Obesity Using Ontology and Semantic Web Rule Language Aditya, Naufal; Baizal, Z. K. A.; Dharayani, Ramanti
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3005

Abstract

Today's lifestyle and eating patterns tend to be irregular due to busyness. People prefer eating foods that are fast and easy to obtain, but often lack knowledge of the nutritional content in them. These eating patterns lead to unbalanced nutrition and can cause various health problems and diseases, such as overweight and obesity. Due to a lack of information, people often turn to drugs instead of learning about healthy diets, making it difficult for them to determine what menu to choose or what type of food to consume. While there have been many studies to recommend healthy food based on user preferences, there is currently no recommender system that includes serving size and budget for each daily food recommendation that is implemented in a chatbot framework. This study proposes using ontology and the Semantic Web Rule Language (SWRL) to store knowledge in the ontology and then process it using SWRL to produce food recommendations based on user preferences. From a sample of user data which obtained 170 recommended meal menus. System performance is pretty good. Based on the validation results from nutritionists, the precision value was 0.852941, the recall was 1, and F-score of 0.920634 So that a healthy food recommendation system can be used to help the user follows a diet that meets his nutritional needs and is within his budget needed
Analysis of Factors that Influence the Interest of IPB Vocational School Agribusiness Management Students in Entrepreneurship Manalu, Doni Sahat Tua; Rostwentivaivi, Vela; Silva, Anindya; Aditya, Naufal; Putri , Amalia; Julia , Dika; Farhan, muhammad
Jurnal Sosial Terapan Vol 3 No 1 (2025): Jurnal Sosial Terapan, Volume 3 No.1 April 2025
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jstr.3.1.64-72

Abstract

Pemerintah Indonesia terus berupaya menciptakan lapangan pekerjaan yang padat karya, salah satunya dengan mendorong minat berwirausaha. Tingginya angka pengangguran menjadi permasalahan serius bagi negara Indonesia. Berwirausaha diharapkan angka pengangguran dapat berkurang serta dapat membuka lapangan pekerjaan. Program Studi Manajemen Agribisnis memiliki peluang yang besar untuk dapat berkontribusi aktif dalam pembangunan ekonomi karena menghasilkan lulusan yang diharapkan mampu menjadi wirausaha. Penelitian ini bertujuan untuk melakukan analisis tentang faktor-faktor yang memengaruhi minat berwirausaha pada mahasiswa aktif Program Studi Manajemen Agribisnis, Sekolah Vokasi IPB. Pengambilan data akan dilakukan dengan menyebarkan survei kepada responden melalui Google Form. Analisis data hasil survei akan dianalisis menggunakan teknik analisis statistik deskriptif dan regresi linear berganda. Terdapat enam variabel untuk menganalisis faktor-faktor yang memengaruhi minat mahasiswa dalam berwirausaha. Faktor tersebut ialah lingkungan keluarga, lingkungan kampus, harga diri atau gengsi, sosial media, ketersediaan modal dan ekspektasi pendapatan. Hasil yang didapatkan bahwa faktor lingkungan keluarga, faktor lingkungan kampus, faktor pengaruh modal, dan faktor ekspektasi pendapatan berpengaruh nyata dan signifikan terhadap minat mahasiswa, sedangkan faktor harga diri atau gengsi dan faktor pengaruh sosial media tidak berpengaruh signifikan terhadap minat mahasiswa Manajemen Agribisnis dalam berwirausaha.
Co-Authors Julia , Dika Manalu, Doni Sahat Tua Muhammad Farhan Putri , Amalia Ramanti Dharayani Silva, Anindya Vela Rostwentivaivi ZK Abdurahman Baizal