scholarly journals Rancang Bangun Purwarupa Aplikasi Deteksi Dini Penyakit Jantung Berbasis Case Base Reasoning dengan Keamanan Data

2021 ◽  
Vol 5 (1) ◽  
pp. 66-73
Author(s):  
Dr. Nur Afny Catur Andryani, S.Si., MSc. ◽  
Muhamad Femy Mulya ◽  
Surnanto Surnanto ◽  
M. Rizam Kusfandi
Keyword(s):  
Heart Disease ◽  
Early Detection ◽  
Data Security ◽  
Data Privacy ◽  
Black Box ◽  
Web Based ◽  
Healthcare Facilities ◽  
Case Base ◽  
Case Base Reasoning ◽  
Late Detection

The prevalence of heart disease has been consistently increasing in five recent years. In average 15 out of 1000 people have heart disease. Currently heart disease becomes the second leading cause of death in Indonesia. Early detection will guide the appropriate treatments to increase recovery opportunity. In another hand, many healthcare facilities in Indonesia are not equipped with the cardiologist. It triggers many heart disease cases are late to handle due late detection. Thus, we propose web based early heart disease detection application prototype using Case Base Reasoning framework. It is intended to support small clinic or other healthcare facilities which have no cardiologist to provide early detection of heart disease. The application is equipped with data security to handle the data privacy of the patient. Based on the black box evaluation by the expert, it is concluded that all the provided features can be run functionally.

scholarly journals Analisis Penyakit Pada Tanaman Cabai Dengan Metode Case Based Reasoning Berbasis Web

2021 ◽  
Vol 1 (1) ◽  
pp. 43-48
Author(s):  
Desi Ernawati ◽  
Riki Andri Yusda ◽  
Guntur Maha Putra
Keyword(s):  
Expert System ◽  
Plant Diseases ◽  
Case Based Reasoning ◽  
Good Care ◽  
Web Based ◽  
Case Base ◽  
Case Base Reasoning ◽  
Case Based

Abstract:Chili is a production cropthatis much needed by the  community. Good care is needed to increase the production of chili plants. Production of chili plants will decrease if the types of diseases that attack are not considered. To find out about chili plant diseases, farmers only look at the disease without knowing the symptoms that appear beforehand so that it will affect the production of chili plants.So that we need experts who understand the symptoms of disease in chili plants.The existence of experts can be replaced by a system designed to detect symptoms of disease in chili plants.The expert system to be designed is web-based using the case-based reasoning method.This expert system is expected to help increase the productivity of chili plants.            Keywords:expert system; chili; case-based reasoning; chili plants.  Abstrak:Cabai merupakan tanaman produksi yang banyak dibutuhkan oleh masyarakat. Untuk meningkatkan produksi tanaman cabai diperlukan perawatan yang baik. Produksi dari tanaman cabai akan menurun jika tidak diperhatikan jenis penyakit yang menyerang. Untuk mengetahui penyakit tanaman cabai para petani hanya melihat penyakitnya saja tanpa mengetahui terlebih dahulu gejala yang muncul sehingga akan mempengaruhi hasil produksi tanaman cabai. Sehingga diperlukan pakar yang mengerti mengenai gejala penyakit pada tanaman cabai. Keberadaan pakar bisa digantikan oleh sebuah sistem yang dirancang untuk mendeteksi gejala penyakit pada tanaman cabai. Sistem pakar yang akan dirancang berbasis web dengan menggunakan metode case base reasoning. Sistem pakar ini nantinya diharapkan membantu untuk peningkatan produktivitas tanaman cabai. Kata kunci:sistem pakar; cabai; casebasereasoning; tanaman cabai.

SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN KAKAO MENGGUNAKAN METODE CASE BASE REASONING (CBR) PADA KELOMPOK TANI GAPOKTAN DESA MAKARTI JAYA

2019 ◽  
Vol 4 (1) ◽  
pp. 74-83
Author(s):  
Ruhmi Sulaehani
Keyword(s):  
Black Box ◽  
Cyclomatic Complexity ◽  
Black Box Testing ◽  
Case Base ◽  
White Box Testing ◽  
Case Base Reasoning

Tanaman Kakao merupakan salah satu komoditi ekspor non migas yang memiliki prospek cukup cerah, disamping permintaan dalam negeri juga semakin kuat dengan semakin berkembangnya sektor agroindustri. Namun karena masih banyaknya masyarakat yang awam atau kurang mengerti akan penyakit tanaman kakao dan cara mengatasinya, maka peneliti berinisiatif untuk membantu permasalahan tersebut yakni dengan membuat sebuah sistem pakar yang dapat mendiagnosa penyakit tanaman kakao serta memberikan soslusi atau penanganan yang tepat terhadap penyakit yang sering menyusahkan para petani kakao di desa Makarti Jaya. Pada penelitian ini penulis mencoba merancang aplikasi diagnosa penyakit Tanaman Kakao. Aplikasi diagnosa penyakit tanaman kakao ini pembuatanya menggunakan metode CBR. Implementasi aplikasi diagnosa penyakit tanaman kakao ini menggunakan bahasa pemrograman PHP ( PHP : Hypertext Preprocessor) dan Basis Data MySQL. Metode yang digunakan dalam penelitian ini adalah Metode Penelitian Deskriptif dengan tahap-tahap penelitian yang dimulai dari: tahap analisis, desain, konstruksi, pengujian, implementasi, evaluasi, dan pemeliharaan. Metode pengujian sistem yang digunakan adalah White Box Testing dan Black Box Testing. Pada metode White Box Testing, berdasarkan hasil penelitian dibuat flowchart dan flowgraph dari data yang diperoleh. Flowchart yang diuji yaitu proses diagnosa. Dari hasil perhitungan menggunakan metode White Box Testing, diperoleh nilai hasil perhitungan yang telah memenuhi persyaratan dari segi kelayakan software. Sedangkan dari hasil pengujian menggunakan metode Black Box Testing, diperoleh nilai untuk mengukur tingkat kemudahan, kecepatan informasi, serta ketepatan data guna memenuhi syarat kelayakan dalam penerapan sistem. Hasil pengujian menggunakan metode White Box Testing adalah dengan nilai Cyclomatic Complexity = 8, maka dapat disimpulkan bahwa logika program benar dan dapat digunakan.

scholarly journals Patient’s point of view on the use of telemedicine in multiple sclerosis: a web-based survey

2021 ◽  
Author(s):  
Doriana Landi ◽  
Marta Ponzano ◽  
Carolina Gabri Nicoletti ◽  
Gaia Cola ◽  
Gianluca Cecchi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Point Of View ◽  
Physical Parameters ◽  
Chronic Medical Conditions ◽  
Socioeconomic Conditions ◽  
Web Based ◽  
Healthcare Facilities ◽  
Advantages And Disadvantages ◽  
Disease Characteristics ◽  
Degree Of Disability

AbstractRestrictions in the access to healthcare facilities during COVID-19 pandemic have raised the need for remote monitoring of chronic medical conditions, including multiple sclerosis (MS). In order to enable the continuity of care in these circumstances, many telemedicine applications are currently tested. While physicians’ preferences are commonly investigated, data regarding the patients’ point of view are still lacking. We built a 37 items web-based survey exploring patients’ propensity, awareness, and opinions on telemedicine with the aim to evaluate the sustainability of this approach in MS. Analysing 613 questionnaires out of 1093 that were sent to persons with MS followed at the Multiple Sclerosis Center of Tor Vergata University, Rome, we found that more than half of respondents (54%) were open to having a televisit. Propensity toward telemedicine significantly depended on having a higher income (p = 0.037), living farther from the center (p = 0.038), using computer and tablet (p = 0.010) and using the Internet for other remote activities (p < 0.001), conversely it was not influenced by any specific disease characteristics (i.e. degree of disability). The main advantages and disadvantages of televisit reported by participants were respectively saving time (70%) and impossibility to measure physical parameters (71%). Although the majority of respondents are in favour of televisit, so far this approach is restricted to those displaying better socioeconomic conditions and higher familiarity with technology. Implications of the study are that telemedicine platforms should be better tailored to patients’ demands in order to spread the use of telemedicine, to enhance usability and to increase patients’ adherence.

Deteksi Dini Faktor Risiko Penyakit Kardiovaskuler pada Pegawai Rektorat Universitas Mataram

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ida Ayu Eka Widiastuti ◽  
Rifana Cholidah ◽  
Gede Wira Buanayuda ◽  
Ida Bagus Alit
Keyword(s):  
Cardiovascular Disease ◽  
Heart Disease ◽  
Early Detection ◽  
Blood Vessel ◽  
Total Cholesterol ◽  
Hdl Cholesterol ◽  
Mean Value ◽  
World Health ◽  
Fat Percentage ◽  
Vessel Disease

Currently, the number of non-communicable diseases (PTM) is quite large and causes considerable morbidity and mortality. Globally PTM the number one cause of death every year is heart disease and blood vessels (cardiovascular). Data from the World Health Organization (WHO) states that more than 17 million people worldwide die from heart and blood vessel disease. Based on data from Riset Kesehatan Dasar (Riskesdas) in 2018, the incidence of heart and blood vessel disease has increased from year to year. At least, 15 out of 1000 people, or about 2,784,064 individuals in Indonesia suffer from heart disease. Cardiovascular disease often attacks productive age. Early detection is very important as a primary and secondary prevention of cardiovascular disease. The participants of this activity were 32 employees of the Mataram University Rectorate. Early detection of risk factors for cardiovascular disease is carried out through several tests: (1) anthropometric examinations, including body weight, height, body mass index, waist circumference, and body fat percentage, (2) blood pressure, and (3) blood samples examintaion to check fasting blood sugar levels and lipid profiles, which include triglyceride levels, total cholesterol, HDL cholesterol, and LDL cholesterol. From the results of the activity, it was found that the mean value of all types of examinations was abnormal, except for the levels of triglycerides and total cholesterol. Thus, in general, it can be said that participants have a high enough risk factor for cardiovascular disease.

Improvement on Supporting Machine Learning Algorithm for Solving Problem in Immediate Decision Making

2012 ◽  
Vol 566 ◽  
pp. 572-579
Author(s):  
Abdolkarim Niazi ◽  
Norizah Redzuan ◽  
Raja Ishak Raja Hamzah ◽  
Sara Esfandiari
Keyword(s):  
Reinforcement Learning ◽  
Learning Algorithm ◽  
Multi Agent Systems ◽  
Combined Model ◽  
Q Learning ◽  
Agent Systems ◽  
Multi Agent ◽  
Case Base ◽  
Case Base Reasoning ◽  
Robotic Tool

In this paper, a new algorithm based on case base reasoning and reinforcement learning (RL) is proposed to increase the convergence rate of the reinforcement learning algorithms. RL algorithms are very useful for solving wide variety decision problems when their models are not available and they must make decision correctly in every state of system, such as multi agent systems, artificial control systems, robotic, tool condition monitoring and etc. In the propose method, we investigate how making improved action selection in reinforcement learning (RL) algorithm. In the proposed method, the new combined model using case base reasoning systems and a new optimized function is proposed to select the action, which led to an increase in algorithms based on Q-learning. The algorithm mentioned was used for solving the problem of cooperative Markov’s games as one of the models of Markov based multi-agent systems. The results of experiments Indicated that the proposed algorithms perform better than the existing algorithms in terms of speed and accuracy of reaching the optimal policy.

scholarly journals An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

2014 ◽  
Vol 102 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Torregrosa Daniel ◽  
Forcada Mikel L. ◽  
Pérez-Ortiz Juan Antonio
Keyword(s):  
Open Source ◽  
Machine Translation ◽  
Web Application ◽  
Statistical Machine Translation ◽  
Black Box ◽  
Translation System ◽  
Web Tool ◽  
Web Based ◽  
Strongly Coupled ◽  
Machine Translation System

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.

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