{
      "ispublished": "pub",
      "full_text_status": "none",
      "creators": [
        {
          "NPM": 65121147,
          "name": {
            "family": "Pinandito",
            "honourific": null,
            "given": "Satrio",
            "lineage": null
          }
        }
      ],
      "type": "thesis",
      "eprintid": 10747,
      "department": "Fakultas Matematika dan Pengetahuan Alam",
      "institution": "Universitas Pakuan",
      "corp_creators": [
        "Universitas Pakuan",
        "Fakultas Matematika dan Ilmu Pnegetahuan Alam",
        "Program Studi Ilmu Komputer"
      ],
      "subjects": [
        "QK"
      ],
      "datestamp": "2026-06-22 06:32:14",
      "thesis_name": "Sarjana",
      "status_changed": "2026-06-22 06:32:14",
      "thesis_type": "Skripsi",
      "lastmod": "2026-06-22 06:32:14",
      "date_type": "published",
      "uri": "http:\/\/eprints.unpak.ac.id\/id\/eprint\/10747",
      "metadata_visibility": "show",
      "abstract": "HEALTHY FOOD RECOMMENDATION USING THE KNOWLEDGEBASED FILTERING METHOD BASED ON BODY MASS INDEX IN\r\nA MOBILE APPLICATION\r\nSatrio Pinandito1\r\n, Lita Karlitasari2\r\n, Adriana Sari Aryani3\r\n1,2,3Department of Computer Science, Faculty of Mathematics and Natural Science, Pakuan University, Bogor,\r\nWest Java, 16143, Indonesia\r\nAbstract\r\nA dietary pattern that aligns with the body’s needs plays an important role in maintaining health and preventing various\r\nnutritional problems. However, many people still experience difficulties in determining appropriate types of food based on\r\ntheir individual body conditions. This study aims to design and develop a mobile application that provides healthy food\r\nrecommendations based on Body Mass Index (BMI) values by applying the Knowledge-Based Filtering method. The\r\napplication is developed by utilizing calculations of BMI, Basal Metabolic Rate (BMR), and Total Daily Energy Expenditure\r\n(TDEE) as the basis for determining users’ daily caloric requirements. Food recommendations are generated based on a rule\r\nbase constructed from relevant scientific references and validated by nutrition experts. The system is built on the Android\r\nplatform using the Kotlin programming language and is integrated with the Gemini API service to support the provision of\r\nfood data and nutritional information. The testing results show that the application is able to provide food recommendations\r\nthat match users’ needs and operates well across various Android devices. Validation conducted by nutrition experts indicates\r\nan improvement in the system’s feasibility level, confirming that the application is suitable for use as a supporting tool in\r\ndetermining healthy food recommendations. Therefore, the developed application is expected to assist users in implementing\r\na more structured, healthy, and sustainable dietary pattern.\r\nKeywords: Body Mass Index, Knowledge Based Filtering, Food Recommendation, Mobile Application, Android",
      "eprint_status": "archive",
      "title": "HEALTHY FOOD RECOMMENDATION USING THE KNOWLEDGEBASED FILTERING METHOD BASED ON BODY MASS INDEX IN\r\nA MOBILE APPLICATION",
      "divisions": [
        "sch_ecs"
      ],
      "userid": 46,
      "contributors": [
        {
          "type": "http:\/\/www.loc.gov\/loc.terms\/relators\/THS",
          "name": {
            "family": "Karlitasari",
            "honourific": null,
            "given": "Lita",
            "lineage": null
          }
        },
        {
          "type": "http:\/\/www.loc.gov\/loc.terms\/relators\/THS",
          "name": {
            "family": "Sari Aryani",
            "honourific": null,
            "given": "Adriana",
            "lineage": null
          }
        }
      ],
      "rev_number": 6,
      "date": "2026-02-13",
      "dir": "disk0\/00\/01\/07\/47"
    }