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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Infomedia INTECOMS: Journal of Information Technology and Computer Science Mimbar Ilmu Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Community Engagement and Emergence Journal (CEEJ) ARSY : Jurnal Aplikasi Riset kepada Masyarakat Archive: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Business and Technology E-Amal: Jurnal Pengabdian Kepada Masyarakat
Gustientiedina
Institut Bisnis Dan Teknologi Pelita Indonesia
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Journal : Journal of Applied Business and Technology

 1 
Application of the Forward Chaining Method in Diagnosing Tomato Fever Edi Susanto; Gustientiedina Gustientiedina; Muhammad Siddik
Journal of Applied Business and Technology Vol. 5 No. 1 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i1.143

Abstract

Health is a factor that always needs to be taken care of by each personal. Some things you can do to stay healthy are eating nutritious foods, exercising, taking care of the environment, etc. However, a person can experience health problems due to communicable diseases and non-communicable diseases. A communicable disease is a disease that can be transmitted from one person to another, directly or indirectly. One of the infectious diseases discussed some time ago in India was tomato flu. Tomato flu is an illness that results from a red rash and blisters that look like tomatoes caused by the flu. This disease is contagious in children under five years old. Tomato flu has some symptoms that are common with other infectious diseases, so people can be infected with other infectious diseases. The role of experts is necessary, but the number of experts cannot be compared with the number of victims. Therefore, an expert system is needed to diagnose these infectious diseases by the method of Forward Chaining. This method was chosen because it can diagnose infectious diseases based on a set of established data. Expert system testing is done using Black Box Testing, where each tested item generates a succesfull state.
Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile Jacky Chen; Gustientiedina Gustientiedina
Journal of Applied Business and Technology Vol. 5 No. 2 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i2.145

Abstract

Parkinson's disease is a neurodegenerative disorder characterized by classic motor symptoms, namely bradykinesia, rigidity and tremor, where this disease attacks nerve cells gradually in the midbrain part which regulates the movement of the human body. This disease is one of the most common diseases found in old age with a prevalence of around 160 per 100,000 population. Among the general public knowledge about the diseaseparkinson considered to be minimal, as a result many sufferers parkinson which is not handled properly. Therefore the authors built an application to detect and provide information on Parkinson's disease withFuzzy Expert System. This application was built based on Android mobile to make it easier for users to operate it. In this research method Fuzzy Expert System aims to find out whether the patient has Parkinson's or not based on the input value of each symptom displayed. Symptom data were obtained from experts through interviews and appropriate literature. This system begins by entering the symptoms of Parkinson's disease that have been obtained from experts into the system. Symptoms included include: Tremor/vibration, Rigidity/Rigidity, Akinesia/Bradykinesia, Autonomic Dysfunction, Gait as if about to fall. After the symptoms are entered, the system will calculate the setFuzzy, each symptom is divided into 2 (two) criteria/sets, namely: rarely, and often. After forming the setFuzzy, The system will match the rule base obtained from the expert. The results of this system detection whether the user has Parkinson's disease or not. In building the system the author uses the waterfall method, which means sequential and systematic. The database used is the MySQL database. Testing this research using the Black Box Testing method. From the research that has been done, this system has succeeded in achieving a percentage value of 70% for accuracy results based on 20 trials from respondents, there are 6 experiments that are not in accordance with expert opinion. On testingusability obtaining a percentage of 40% for very good and 60% for good, with these results showing that the expert system that has been built can run well and is easy for users to use. Keywords: Parkinson's Disease, Detecting, Fuzzy Expert System, Mobile
Implementation of Certainty Factor Method in Mental Health Diagnosis Expert System in Adolescents Aged 18 – 24 Years Desnelita, Yenny; Cesar, Mario; Gustientiedina, Gustientiedina; Hajjah, Alyauma; Putri, Ramalia Noratama
Journal of Applied Business and Technology Vol. 6 No. 1 (2025): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v6i1.195

Abstract

Mental health in adolescents aged 18-24 years is a real condition and a problem that has received less attention from parents or certain parties. Individual adolescents free from all forms of symptoms of mental disorders are one of the keys to maintaining a healthy body from mental health disorders . The group most vulnerable to mental health disorders is adolescents, where many adolescents do not receive the care they should from their parents. Expert systems can help solve problems in the field of mental health in adolescents aged 14-18 years as befits a psychiatrist by adopting expert knowledge into computers. This study aims to develop an expert system for diagnosing mental health disorders in adolescents aged 18-24 years using the Certainty Factor (CF) method by combining expert and user belief values in the diagnostic solutions provided later by the expert system. This study used five mental disorders in adolescents aged 18-24 years, namely depression, schizophrenia, bipolar, obsessive, anxiety disorders which were later given the weight of symptom beliefs and data on preventive solutions to the disease using the CF method . The results of the study are in the form of an expert system for diagnosing mental health in adolescents. using the CF method which displays the certainty value of expert knowledge diagnosis. Testing of the expert system application in this study uses the black-box method with valid test results used.
Co-Authors Adiya, M. Hasmil ahmad kamal, ahmad Alyauma Hajjah Ambiyar, Ambiyar Cesar, Mario Darmanta Sukrianto Debi Setiawan Deny Jollyta Desnelita, Yenny Dewi Nasien Dictia Diantika Dwi Oktarina Edi Susanto Fadrul Fadrul Gusrianty Gusrianty Gusrio Tendra Hadi Dwi Putra Hamzah, Muhammad Luthfi Harry Kurniawan Hendri Hendri Hutri Rizkiyah Alda Irwan Irwan Irwan Irwan Jacky Chen Johan Johan Johan Johan Loneli Costaner Marlim, Yulvia Nora Marwan, Deinike Wanita Muhammad Siddik Muhammad Siddik Muhammad Siddik Muhammad Siddik Nizwardi Jalinus Purwati, Astri Ayu Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Rivaldo Famren Silaen Roni Sanjaya Rusilawati, Ermina Sarli Rahman Siddik, Muhammad Sitompul, Silvia Sari Sunarti Sunarti Suriyanti, Linda Hetri Wahyu Joni Kurniawan Wahyu Joni Kurniawan, Wahyu Joni Wilda Susanti Yenny Deselinta Yusrizal Yusrizal Yusrizal