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Latifah Hanum
Jurusan Pendidikan Kimia FKIP Universitas Syiah Kuala, Banda Aceh Indonesia
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Journal : JURTEKSI

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METHOD OF MAUT IN DETERMINING THE RANK OF CHILDREN AND HEALTHY ELDERLY AT PETATAL PUSKESMAS Hanum, Latifah; Siddik, Mohd; Maulana, Cecep
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 9 No. 4 (2023): September 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v9i4.2422

Abstract

Abstract: The current development of information technology has had an impact on all fields, including the health sector. Many activities that were previously carried out conventionally or manually can now be carried out with the help of technology. Computers that were previously only used to process data now provide many services, applications, and programs that can help facilitate human activities. One of them is the Multi-Attribute Utility Theory (MAUT) method, which is a support system method that has been widely used to provide accurate and efficient results. This study aims to build a decision support system for choosing healthy toddlers and elderly at the Petatal Health Center, Talawi District, Asahan Regency. So far, the process of selecting healthy toddlers and elderly is done conventionally, without the help of applications or computer programs. So the time needed is longer and the results are also less objective. The calculation process uses the MAUT method with an alternative of 13 toddlers and 15 elderly. The criteria used are body weight, nutritional status, potassium content, protein content, and carbohydrate content. Assessment weight 1-5. The results are 3 Toddlers with the highest total score Laila (17) Putri Sundar (14.25) and Tiara with a score of 12.25. The three people with the highest scores for healthy elderly are Rini Dewi with a score of 17, Joni with a score of 14.25, and Bejo Asmo with a value of 12.25.            Keywords: decision support system; MAUT; multi atribute utility theory; SPK Abstrak: Perkembangan Teknologi informasi saat ini telah berdampak pada semua bidang, termasuk bidang kesehatan. Banyak kegiatan yang awalnya dilakukan secara konvensional atau manual kini dapat dilakukan dengan bantuan teknologi. Komputer yang tadinya hanya digunakan untuk mengolah data kini menyediakan banyak layanan, aplikasi dan program yang dapat membantu mempermudah kegiatan manusia. Salah satunya adalah metode Multi Atribute Utility Theory (MAUT) yang merupakan salah satu metode sistem pendukung yang telah banyak digunakan untuk memberikan hasil yang akurat dan efisien. Penelitian ini bertujuan membangun sistem pendukung keputusan pemilihan Balita dan Lansia Sehat di Puskesmas Petatal Kecamatan Talawi Kabupaten Asahan, selama ini proses pemilihan balita dan lansia sehat dilakukan secara  konvensional, tanpa menggunakan bantuan aplikasi atau program computer. Sehingga waktu yang dibutuhkan lebih lama serta hasilnya juga kurang objektif. Proses perhitungan menggunakan Metode MAUT dengan alternative 13 Balita dan 15 lansia .Kriteria yang digunakan Berat Badan, Status Gizi, Kandungan Kalium, Kandungan protein dan kandungan karbohidrat. Bobot penilaian 1-5. Hasil adalah 3 Balita dengan total nilai tertinggi Laila (17) Putri Sundar (14,25) dan Tiara dengan nilai 12,25. Tiga orang dengan nilai tertinggi untuk Lansia sehat adalah Rini dewi dengan nilai 17, Joni dengan nilai 14,25 dan Bejo Asmo dengan nilai 12,25. Kata kunci: multi atribute utility theory; MAUT; sistem pendukung keputusan; SPK
Co-Authors . Adlim . Suzanna A Halim Abdussyukur Adlim Adlim Adlim AFRILIAN, PEPY Ahmad, Nur Jahan Aisyah, Alma'rifatul Alvionita, Mieke Ari, Dessanti Putri Sekti Arief Andy Soebroto Arjoni, Arjoni Armayanti, Nabilla Asyahri Hadi Nasyuha Bambang Ismaya Caesar, Canny Amerilyse Chairun Nisa Chatarina Oktaviani, Chatarina Oktaviani Cut Nurhalisa Dalimunte, Ahmad Amin Daulay, Siti Yusrona Desiana Desiana, Desiana Efendi, Zainal Elisa Elisa Elvin, Said Devi Febrianti, Diana Dwi Vally Fitraliana, Fitraliana Gani, Abdul Habibati Habibati Habibati*, Habibati HALUTI, FARID Hapsari, Winda Amalia Haris Zulvianda Haris Zulvianda, Haris Hilda Yusmarina Ibnu Khaldun Ibnu Khaldun Ibnu Khaldun Ibnu Khaldun Imam Cholissodin Irawati, Novica Ismi Zatya Iskandar Isneini Isneini, Isneini Isyqa Silma Jolanda Tomasouw Kadek Dwi, Kadek Dwi Kana Puspita Kuswati Kuswati M Fahri Aditya Nasution m Nasir Maily Rizki Maisura, Cahya Makatita, Rama Semida Nehemia Marantika, Juliaans E. R Mardhiah , Ainal Maulana, Cecep Meri Hardina Muazzah, Muazzah Muhamad Nazar, Muhamad Muhammad Arista Ramadhani Muhammad Nazar Muhammad Reza Muhammad Reza Muhammad Syaifuddin Muktaridha Muktaridha Muliana, Rahmi Munazar Munazar Muthia Keumala Nasriati, Nasriati Nasrul Nasrul Ningsih, Yeni Nirwan Nirwan Nofirda, Fitri Nova Jayanti Harahap Noviati Noviati Nugroh, Widi Nurhalifah, Laras Nurhasnah Nurhasnah Nurhayati Nurhayati Nurhayati, Nurhayati Nurul Ummi Manatillah Prawira, Yudhi Putri, Vini Aprilia Rahmad Rizki Fazli Rahmi, Rhadiatul Ramli, Ichwana Rasyid Munthe, Ibnu Ratu Fazlia Inda Rahmayani Ratu Fazlia Inda Rahmayani Raudhaton Nur Rijannah , Fera Rini Dwi Wahyuni Rita Sri Kurniawati Ritawati Ritawati Riza Maulina Rosmalina Mahbengi RR. Ella Evrita Hestiandari Rusman Rusman Said Ali Akbar Saminan, Saminan Saputri, Ridho Sari, Maini Sari Saut Parsaoran Tamba Sembiring, Cornelia Selvi Dinta Br Shinta Dita Utami Sidabalok, Nova Erawati Siddik, Mohd Sihombing, Volvo Sipayung, Rinanta Sitti Hasnidar Sri Winarni Sulastri Sulastri Sulastri Sulastri Supriyanti Supriyanti Suryani Suryani Sutrisno, Sutrisno Suyadi Suyadi Syawaluddin Syawaluddin, Syawaluddin Taufik Taufik Taufik Tri Eko Susilorini Trio Salfrika Trio Salfrika, Trio Wanda Nugroho Yanuarto Widi Nugroho Wilda, Wilda Maudyna Wildan Mabrura Yeni Afrida, Yeni Yuhanef , Afrizal Yusrizal Yusrizal Yustria Handika Siregar Zainal Muttaqin Zarlaida Fitri Zatya, Ismi Zulfadli Zulfadli Zulfadli Zulfadli