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RANCANG BANGUN APLIKASI KONVERSI FILE EXCEL KE FILE KML BERBASIS WEB Diah A.P, Zahwa; Saputra, Muh. Tegar; Nurfadilah, A’tika; Efendi, Ilham Julian
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 1 (2024): March 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i1.353

Abstract

Telkom STO (Automatic Telephone Center) 1 Kendari is one of the communication devices owned by PT. Indonesian Telecommunication to connect or distribute data from one area to another. The AOD (Access Optima and Daman) division is a division which in some of its activities uses the Google Earth application to view data, one of which is the distribution of ODP (Optical Distribution Point), but in its use there are still many obstacles that make these activities not run smoothly like the process Moving data from Excel to KML format takes a lot of time because the conversion system used is still incomplete, so some data has to be managed manually. Therefore, it is necessary to have a computerized application so that the implementation of activities related to transferring data from Excel to KML can run well and can be used by various parties in real time. This application was created using the PHP programming language with MySQL as the database and the Waterfall method for development because this development model takes a systematic and sequential approach so that the development process can be completed more easily and quickly. Application testing was carried out by application testing in the form of a trial from Telkom STO 1 which went well.
SISTEM REKOMENDASI KEBUTUHAN NUTRISI MAKANAN PENDAMPING AIR SUSU IBU (MPASI) MENGGUNAKAN METODE FUZZY TAHANI SEBAGAI UPAYA PENCEGAHAN STUNTING Diah A.P, Zahwa; Musaruddin, Mustarum; Adi Saputra, Rizal
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 2 (2024): September 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i2.423

Abstract

Stunting is a significant child health issue in Indonesia, where children experience impaired growth, resulting in weight and height below their age average. In 2022, the World Health Organization (WHO) and the Indonesian Nutrition Status Survey (SSGI) reported a stunting prevalence of 21.6%, exceeding the WHO target of 20%. Stunting is caused by chronic malnutrition from pregnancy through the first thousand days of life, a crucial period for brain and cognitive development. Proper complementary feeding (MPASI) after 6 months is essential to meet infants' nutritional needs and prevent developmental delays in children under two. This study aims to develop a mobile web-based system that recommends MPASI according to infants' nutritional needs using the Fuzzy Tahani method. This method was chosen for its ability to handle uncertainty and provide personalized solutions. The developed system achieved 94.5% accuracy, with a precision of 33.1%, recall of 27.4%, and specificity of 85.9%. The system met the research objectives despite lower precision and recall due to imbalanced training data. User Acceptance Testing (UAT) results indicated that 77.73% of users strongly agreed with the system, while 1.86% disagreed. This system is expected to assist in preventing stunting by providing more accurate MPASI recommendations tailored to each infant's needs.