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Journal : Journal for Technology and Science

WEB-BASED INFORMATION SYSTEM FOR SALES OF PRODUCTS LABELED HALAL IN KHANZA ONLINE SHOP Rozzaq, Muhammad; Eviyanti, Ade; Azizah, Nuril Lutvi; Hindarto
Journal for Technology and Science Vol. 1 No. 1 (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.v1i1.97

Abstract

The times are getting more advanced, the price of necessities is also increasing, many elements justify any means to sell food/products that are not suitable for consumption in order to get abundant profits. which has neglected an important point, namely the halalness of the product. Therefore I made research on how to create an online shop that can sell halal products that are guaranteed to be halal. The Information Sistem for Sales of Halal Labeled Products at the Web-Based Khanza Online Shop is an online shop that sells products labeled as halal, the products being sold are products that have passed the test of the Indonesian Ulema Council (LPPOM MUI) Food and Drug Research Institute. Final result of This research is a sistem that makes it easier for Muslim communities in Indonesia, especially Sidoarjo, to be able to shop online for halal products that have been tested for halal
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.
Co-Authors Abdiansah, Lutfi Achmad Alfian Fajriansyah Ade Eviyanti Ade Eviyanti Ade Eviyanti Adham Novalas Putra Wibisono Aditya, M. Fahrul Rizki Afandi, Muchammad Arif Afnizar Maulana Asiddiq Agung Khoirudzikri Alam, Mukhammad Nur Bakhrul Alfan Indra Kusuma Alidza Septia Wulansari Amir, Mohammad Faisal Ananda Dwi Prasetyo Arik Bagus Setyawan Ary Putranto Astutik, Ika Ratna Indra Atik Wahyuni Awawin Mustana Rohmah Bayu Hari Prasojo Busono, Suhendro Cau Kim Jiu Cau Kim Jiu Cecep Kusmana Chylen Setiyo Rini Cindy Cahyaning Astuti Cornelius, Cornelius Dewa, Suma Bayunda Amartya Dewanti, Irene Elvariani Diba, Naila Farah Dinita Rahmalia, Dinita Eka Fatra Arif Hidayatullah Eko Agus Suprayitno Erlina Agustin Fajar, Mochamad Fatahillah Aji Maulana Fatona Kholifatun Nisa' Febrina Shanti Nurrachma Ferry Adhi Dharma Fina Rahma Dewi Fitri Nur Latifah Fitria Nur Hasanah Fuad Azis Muslim Gita Wardani Hamzah Setiawan Hamzah Setiawan Handoko Irawan Handoko Irawan Hartatik, Nurul Hendri Hermawan Hendri Hermawan Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayah, Firmansyah Nur Hindarto Ika Ratna Indra Astutik Irwan Alnarus Kaustar Irwan Alnarus Kautsar Javier, Gomes Noor Kholifah, Rizka Nur Kusuma, Alfan Indra Luqmanul Hakiym Maulana Mahendra, Moch. Fauzi Raja MARIA BINTANG Mauliana, Metatia Intan Metatia Intan Mauliana Mohammad Doni Ferdiansah SM Mohammad Suryawinata Muhammad Iqbal Al Mulki Muqorrobin, Dawam Naila Adiba Novia Ariyanti Octavia, Elga Okyk Fauzi Yudha Permana Pratama, Kharisma Putra, Fariq Abdillah Maulana Rohman Dijaya Rozzaq, Muhammad Salsabil, Muhammad Setiawan, Hamzah Steven Owen Purnawan Sumadyo, Sasmito Bagus Sumarno Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Taufiki Ma'rufan Taurusta, Cindy Uce Indahyanti Vevy Liansari Vevy Liansari Vini Rahmawati Wardani, Gita Wuriani Wuriani Wuriani, Wuriani Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati, Yunianita