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All Journal Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Journal for Technology and Science
Kholifah, Rizka Nur
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Environmental Science

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IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD TO EARLY DETECTION TYPES OF GASTRIC DISEASES Kholifah, Rizka Nur; Azizah, Nuril Lutvi
Journal for Technology and Science Vol. 1 No. 3 (2024): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v1i3.211

Abstract

Abstract: The stomach is a critical organ within the human digestive system, and gastric diseases represent significant health concerns often underestimated by the public. Factors such as poor dietary habits, stress, and bacterial infections contribute to these ailments, whose initial symptoms can easily be misinterpreted due to their similarity with other gastrointestinal disorders. The knowledge gap exists in the diagnostic challenges faced by both patients and healthcare professionals, necessitating the development of improved diagnostic tools. This study aims to enhance the diagnostic process for gastric diseases through the implementation of an expert system utilizing the Fuzzy Tsukamoto method. By employing questionnaires and expert interviews to gather data on symptoms, we develop a comprehensive fuzzy inference system. Results indicate that the system accurately classifies stomach ailments based on user-reported symptoms, facilitating early diagnosis and treatment. The novelty of this research lies in the application of the Fuzzy Tsukamoto method, which allows for nuanced symptom analysis and inference, providing a more accessible means for the general public to identify potential gastric diseases. Furthermore, the system design includes flowcharts, data flow diagrams, and entity relationship diagrams to ensure a user-friendly interface. The implications of this study are significant, as it offers a robust tool for early detection of gastric diseases, thereby potentially improving patient outcomes and reducing healthcare costs associated with late-stage interventions. This expert system not only assists in diagnosing gastric conditions but also serves as a valuable resource for enhancing the understanding of symptomology in gastroenterology.
Pertumbuhan Tanaman Tomat dengan Pemberian Vitamin B1 dan Hormon Giberelin Kholifah, Rizka Nur; Suparti, S
Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) 2022: Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Tomat merupakan salah satu jenis sayuran yang banyak diminati oleh masyarakat dan memiliki permintaan tinggi di pasaran. Tingginya tingkat permintaan tomat membuka peluang budidaya tomat menjadi lebih banyak. Oleh karena itu, perlu adanya inovasi budidaya tanaman tomat. Tujuan penelitian ini adalah untuk mengetahui pertumbuhan tanaman tomat setelah pemberian vitamin B1 dan hormone giberelin. Penelitian ini menggunakan metode kuantitatif eksperimental rancangan acak lengkap (RAL) dua faktor masing-masing 4 kali ulangan dengan komposisi P0 (kontrol), P1 (pemberian Vitamin B1 0.2 ml), P2 (pemberian hormon giberelin 0.2 ml), P3 (pemberian Vitamin B1 dan hormone giberelin 0.2 ml), dan P4 (pemberian Vitamin B1 dan hormone giberelin 0.4 ml).Data dianalisis menggunakan Two Way Annova untuk mengetahui pertumbuhan dan hasil paling baik pada perlakuan tersebut. Hasil penelitian menunjukkan bahwa pertumbuhan tanaman tomat terbaik terdapat pada perlakuan P1 (pemberian Vitamin B1 0.2 ml) dengan rerata tinggi tanaman 85.37 cm, jumlah daun 229,5 helai, dan jumlah bunga 15 buah.
Co-Authors Nuril Lutvi Azizah Suparti, S