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Yuni Wibawanti
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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 13 Documents
 1   2 
Search results for , issue "Vol 9, No 2 (2024)" : 13 Documents clear
Analisis Perencanaan Persediaan Bahan Baku Rantai Motor Tipe SCZ Menggunakan Metode Material Requirement Planning Prastomo, Tediansyah; Rahma, Rana Ardila
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 2 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i2.25910

Abstract

Perancangan Sistem Informasi Rekam Medis di Klinik Pramesthi Health Care Kalimantan Selatan Harjono, Harjono; Nur Hidayat, Taufiq Wahyu; Utami, Desi Tri
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 2 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i2.25075

Abstract

Sistem Pakar Diagnosa Penyakit Pernapasan dengan Metode Certainty Factor Jhondry, Michael; Hansun, Seng
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 2 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i2.23361

Abstract

Respiratory diseases are illnesses that attacks the respiratory organ system in humans. Unfortunately, the general public does not realize that symptoms such as shortness of breath, coughing and others can become serious illnesses if not treated promptly. Therefore, an expert system designed for early diagnosis of respiratory diseases was developed in this research. The Certainty Factor method is applied in this expert system in the form of a website-based software. From the results of the black box testing, it was concluded that the system can provide accurate diagnosis results. Furthermore, the final evaluation by users using the Technology Acceptance Model yielded a result of 89.21%, showing that the developed system can be accepted by users in diagnosing respiratory diseases effectively.

Page 2 of 2 | Total Record : 13

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