scholarly journals The prototype of decision support system in condition infant detection with Fuzzy Tsukamoto

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Agung Setiawan ◽  
Budi Yanto ◽  
Kiki Yasdomi
Keyword(s):  
Decision Support ◽  
Body Temperature ◽  
Decision Support System ◽  
Support System ◽  
Growth And Development ◽  
Environmental Changes ◽  
Medical Personnel ◽  
Nutritional Intake ◽  
Bowel Movements ◽  
Weather Changes

The baby’s condition is a condition that is vulnerable to environmental changes, especially weather changes. Knowledge of a mother in maintaining the health of baby also should be considered, especially in terms of nutritional intake. A healthy baby's condition affects the baby's growth and development. The development of a decision support system should be preceded by collecting and analyzing the data according to need. In this study, the variables were baby feeding items, namely Body Temperature (37.70c), Fuss (2.4), Restless (4.5), frequent bowel movements (3.7), watery bowel movements  (5.6), Bloating (3.5), Nausea (3.7), vomiting (3.2) , Stomachache (2.7) and Itchy Skin (2.8). The results of the calculations will result in defoliation as follows: Measles (1:48), septic (1:48), diarrhea (1:48), ISPA (7:36), enteritis (0.77), Miliary (1:48), OMP (1:48) and varicella (1:48). The range of fuzzy values ranges from 0 to 1, indicating the baby has enteritis or stomach problems. The calculation of defuzification obtained result of 8.1, so the condition of the baby is very sick and should be handled immediately by bringing to the medical personnel.

scholarly journals Fuzzy Simple Additive Weighting Untuk Diagnosis Penyakit Pneumonia

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Syaukani ◽  
Suryo Guritno
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Medical Personnel ◽  
Group Decision Support System ◽  
Forward Chaining ◽  
Linguistic Quantifier ◽  
Health Community ◽  
Simple Additive Weighting ◽  
Fuzzy Linguistic

Abstract. Pneumonia is an infection of the lungs that is caused by bacteria, viruses, fungi, or parasites. It is characterized primarily by inflammation of the alveoli in the lungs or by alveoli that are filled with fluid (alveoli are microscopic sacs in the lungs that absorb oxygen). The shortage of medical personnel at health community centers to serve a population often results in care delays for pneumonia patients. The purpose of this research is to make a modelling of group decision support system in diagnosing pneumonia in adult patients. The system is designed as a tool for medical personnel in diagnosing pneumonia patients.Group Decision Support System (GDSS) is developed by using Fuzzy Simple Additive weighting methods. The preference scoring of three experts i.e. a pulmonary specialist, an internist and a pharmacist is carried out by applying triangular fuzzy numbers. In the aggregation stage, preferences makes use of Fuzzy Linguistic quantifier, stage rangking employs Simple Additive Weighting while Forward Chaining is employed in the inference process. The system is tested by inputting the symptoms of pneumonia without the involvement of an expert. The results shows that the system is capable in diagnosing pneumonia.Keywords: GDSS, Fuzzy, Simple Additive Weighting, Pneumonia Abstrak. Pneumonia adalah infeksi paru-paru yang disebabkan oleh bakteri, virus, jamur, atau parasit. Hal ini ditandai terutama oleh peradangan alveoli di paru-paru atau alveoli yang berisi cairan (alveoli adalah kantung mikroskopis di paru-paru yang menyerap oksigen), terbatasnya tenaga medis di puskesmas disbanding dengan jumlah penduduk berakibat sering terlambatnya pelayanan terhadap pasien pneumonia. Tujuan penelitian ini adalah membuat pemodelan sistem pendukung keputusan kelompok untuk mendiagnosis pasien pneumonia pada orang dewasa. Sistem ini dirancang sebagai alat bantu tenaga medis dalam mendiagnosis pasien pneumonia. Sistem Pendukung Keputusan Kelompok (SPKK) dikembangkan menggunakan metode Fuzzy Simple Additive Weighting. Pemberian nilai preferensi tiga orang pakar antara lain ahli paru-paru, ahli internis dan ahli farmasi menggunakan bilangan fuzzy segitiga. Pada tahap agregasi preferensi digunakan Fuzzy Linguistic Quantifier, tahap perangkingan menggunakan Simple Additive Weighting dan proses inferensi menggunakan Forward Chaining. Sistem diuji dengan cara memasukkan gejala-gejala pneumonia tanpa melibatkan seorang pakar. Hasil penelitian menunjukkan bahwa sistem dapat mendiagnosis penyakit pneumonia.Kata Kunci: SPKK, Fuzzy, Simple Additive Weighting, Pneumonia

scholarly journals Decision Support System for Diagnose Hepatitis Type using Expert System Method

2021 ◽  
Vol 6 (1) ◽  
pp. 66
Author(s):  
Dimmas Mulya ◽  
Dian Pratiwi ◽  
Is Mardianto
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Decision Support System ◽  
Support System ◽  
Skin Color ◽  
Hepatitis A ◽  
Medical Personnel ◽  
Medical Specialists ◽  
System Method ◽  
Loss Of Appetite

In the medical world, there are five types of Hepatitis, namely Hepatitis A, B, C, D, and E. However, the five types of hepatitis have similar symptoms, including yellowing of the skin color, yellowing of the eyeball, loss of appetite, etc. Thus, many of the Medical Personnel often misdiagnose the patient for the type of hepatitis or not suffer from hepatitis.Therefore, previous diagnostic data ware collected from Medical Specialists which will be processed and developed into the Java-based Decision Support System Application with Expert System method with the percentage output of the likelihood of patients from each type of hepatitis along with the possibility of patients not suffering from hepatitis.With the output of this application, the percentage of the possibility of each type of hepatitis or the possibility of not suffering from hepatitis can help Medical Personnel to make diagnostic decisions based on alternatives provided by the application.

scholarly journals SUMMARY REQUIRING REGARDLESS OF CREATION DECISION SUPPORT SYSTEM FOR THE DISTRIBUTION CAPABILITIES TO PROVIDE SUFFICIENT EFFICIENCY OF BORDER REGION OF SYSTEMS FOR OPTO-ELECTRONIC SURVEILLANCE

2020 ◽  
Vol 1 (1) ◽  
pp. 81-90
Author(s):  
O. BOROVYK ◽  
◽  
D. BOROVYK ◽  
D. CIMBRIQUE ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Surveillance System ◽  
Probabilistic Approach ◽  
Border Region ◽  
Time Periods ◽  
Weather Changes ◽  
The Impact ◽  
Laws Of Distribution

The article is devoted to the substantiation of the choice of the basic methodology for assessing the effectiveness of the optoelectronic surveillance system, which could be taken as the basic model of this system for the distribution of forces and means to ensure a sufficient level of border protection efficiency. taking into account in the specified basic methodology for assessing the effectiveness of the system. As a result of the study it was found that as a basic method of assessing the effectiveness of the optoelectronic surveillance system, it is advisable to adopt a method based on a probabilistic approach to describe the processes that accompany the functioning of the optoelectronic surveillance system. It is also substantiated that the main provisions that need to be taken into account when creating a decision support system for the distribution of forces and means to ensure a sufficient level of border protection in the field of optoelectronic surveillance are: homogeneous in terms of features of technical means of border protection time periods; adequate integrated laws of distribution of time periods, which determine the probability of non-detection of the target to its approach to a given distance by certain technical means of border protection, which are part of the studied system of optoelectronic surveillance; points of "stitching" of various integral laws of distribution at the ends of the specified periods; the impact of weather changes over a period of time, which characterizes the period of the service organization, on the functioning of the system; "Dead" zones, which are dynamically variable depending on the natural and man-made conditions that arise in the area of responsibility.

scholarly journals Faktor - Faktor Pendukung Keputusan Rujukan Pasien pada Fasilitas Kesehatan Tingkat Pertama (FKTP) dengan metode Analytical Hierrarchy Process (AHP)

METIK JURNAL ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 55-65
Author(s):  
Hilyah Magdalena ◽  
Hadi Santoso ◽  
Dita Meliansari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Outpatient Service ◽  
Medical Personnel ◽  
Medical Services ◽  
Outpatient Services ◽  
Inpatient Services ◽  
Patient Will ◽  
Hierarchy Process

Pratama Bakti Timah Clinic is one of the First Level Health Facilities (FKTP) that provides health services to the community in the Pangkalpinang area and its surroundings. In these health service activities, when a patient requires special medical care in terms of medical services, medical personnel, medical support, outpatient services, and inpatient services, the patient will be referred to a higher health facility. Considering the various factors that cause patients to be referred and there are several hospitals that are referred to, this condition is a multi-criteria and multi-alternative condition. To overcome this, it is necessary to design a decision support system that will make it easier for medical administration service officers at the Primary Clinic. The decision support system is designed using the Analytical Hierarchy Process (AHP) method which is able to accommodate multi-criteria and multi-alternative decision making. The results of data processing showed that the most important factor in the referral of FKTP patients at the Pratama Clinic was the outpatient service factor with a weight of 30.7%, the second factor was medical services 24.4%, the third factor was medical personnel 17.5%, the fourth factor was supporting medical services 15.9%, and the last is inpatient services 11.4%. While the first referral hospital is RSUD Ir. Soekarno with a weight of 31.1%, then Depati Hamzah Hospital with a weight of 27.5%, then Bakti Timah Hospital with 27.3%, and Bakti Wara Hospital with 14.1%.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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