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Nurahmad Hadi Cahyadi
Politeknik Perkapalan Negeri Surabaya
Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Perancangan Sistem Diagnosis Kesehatan Manusia Melalui Screening Digital Berbasis Desktop Application Menggunakan Metode Forward Chaining dan Neural Network: Design of a Human Health Diagnosis System Through Desktop Application-Based Digital Screening Using Forward Chaining and Neural Network Methods Indis Dwi Agustin; Nurahmad Hadi Cahyadi; Mifta Aulia Ramadhani; Mujtaba Fa’akuli Zazila; Am Maisarah Disrinama
Journal of Health Vol. 11 No. 1 (2024): Journal of Health (JoH) - January
Publisher : LPPM STIKES Guna Bangsa Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.921 KB) | DOI: 10.30590/joh.v11n1.702

Abstract

One of the problems with hospital services is that queues are important because they affect hospital productivity. Hospital queues can be caused by the large number of patients and the length of time the patient is treated. According to the Regulation of the Minister of Health of the Republic of Indonesia Number 30 of 2022, the standard of patient satisfaction with health services must reach ≥ 90% where one indicator is the length of waiting time. Long waiting times or queues can cause medical services to be less than optimal, especially for patients who have emergency complaints. Therefore, to increase the productivity of hospital services, a human health diagnosis system was designed through digital screening to make it easier for doctors to diagnose patient illnesses. The design of this disease diagnosis system was carried out using methods using forward chaining and neural network methods. This innovation is also equipped with severity level detection and treatment recommendations to patients. This research aims to create a knowledge model that can predict patient disease. The effectiveness test was carried out by taking 15 samples of respondents who had different symptoms. The results of this research were that the accuracy level of patient disease diagnosis testing reached 86.6% with the functional capability of the designed diagnostic application functioning at 100%. With this innovation, diagnosis of symptoms of human disease can be carried out precisely and precisely so that it can help medical personnel in increasing hospital productivity and the level of health in every community in Indonesia.
Perancangan Sistem Penentuan Kualitas Lingkungan Kerja Berdasarkan Multy Parameter Input Menggunakan Metode Mamdani Fuzzy Inferensi System (FIS): Design of a System for Determining the Quality of the Work Environment Based on Multi Parameters Input Using the Mamdani Fuzzy Inferenence System (FIS) Method Nurahmad Hadi Cahyadi; Vanny Nastiti; Anugerah Ekha Gusti Audryadmaja; Denny Oktavina Radianto
Journal of Health Vol. 10 No. 02 (2023): Journal of Health (JoH) - July
Publisher : LPPM STIKES Guna Bangsa Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30590/joh.v10n2.646

Abstract

The work environment has the potential for Occupational Diseases which cause health problems for workers due to physical work environment factors. The physical work environment is in the form of infrastructure conditions, temperature, lighting and noise, while the non-physical work environment is related to work relations and communication. Workers have the right to work in a safe and comfortable working environment because it is the main factor in determining worker conditions. A supportive work environment can trigger workers to increase productivity. The purpose of this study was to determine the comfort level of a workplace using three variables, namely temperature, lighting and noise with the Mamdani Fuzzy Inference System (FIS) approach. Using the Mamdani FIS method and Matlab R2010b program, it is expected to measure the condition of the work environment, including temperature, lighting, and noise, so that if the work environment conditions are inadequate, evaluation and improvement can be carried out. This research was carried out by a system engineering to determine the quality of the workplace environment using the Mamdani FIS method algorithm through the matlab software. It has been assumed that there are three indicator variables used to determine a condition in which each variable has its own decomposition of the input function and fuzzy set. Based on the case study used as a sample, the room conditions had a temperature level of 22°C, 55 db of noise and 210 lux of lighting, which resulted in an environmental quality of 91.3 with good workspace criteria.
Co-Authors Am Maisarah Disrinama Anugerah Ekha Gusti Audryadmaja Indis Dwi Agustin Mifta Aulia Ramadhani Mujtaba Fa’akuli Zazila Radianto, Denny Oktavina Vanny Nastiti