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Journal : Journal of Applied Business and Technology

APPLICATION OF GENETIC ALGORITHM IN TOURISM ROUTE OPTIMIZATION IN PEKANBARU CITY Eri Yanto; Ramalia Noratama Putri
Journal of Applied Business and Technology Vol. 1 No. 1 (2020): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.7 KB) | DOI: 10.35145/jabt.v1i1.22

Abstract

The number of tourist attractions that are not yet well known, reinforced by the release of Pekanbaru City Government data that the tourism sector only accounts for about 0.9% of the national tourism sector. Therefore, this study aims to optimize the determination of Pekanbaru city tourist travel routes by using genetic algorithms or Genetic Algorithms. Genetic algortima process generally consists of several stages, starting from the initial generation, determination of fitness, crossover stage, mutation to the generation of advanced stages. With an accuracy rate of the best offered solutions reaching around 88% and an average solution search of about 19 seconds per iteration on a constant 100x trial, the results of this study can be used to help general users or Tour & Travel businesses in determining travel routes more optimal travel and a better travel experience.
Selection of Computer Private College to Use Elimination Methods and Options of Expressing Reality (ELECTRE) Oka Wantika Zuhairra; Ramalia Noratama Putri
Journal of Applied Business and Technology Vol. 1 No. 3 (2020): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.448 KB) | DOI: 10.35145/jabt.v1i3.44

Abstract

Higher education is a continuation of secondary education which is prepared for students to become members of society who have academic and professional abilities who can apply, develop and create science, technology and arts. Higher education contains background problems, problem formulations and research objectives. Choosing a college has many aspects that must be considered, such as the location of the college, tuition fees, distance from residence, accreditation, levels, and choice of computer program majors. The hesitation in choosing a college to major in computer is often an obstacle for every prospective student. Especially with the many universities that exist today, both private and public universities. This makes prospective students often feel unfamiliar, confused, lack of information about tertiary institutions so that they are wrong in making choices. So that the solution from researchers designed information systems that are useful for assisting prospective students in choosing private universities for web-based computer programs, using the ELECTRE mysql database method. The results of research on private universities with the Electre method, it can help and provide recommendations and the best alternative decision solutions to prospective students in making decisions with many criteria.
DIAGNOSIS SYSTEM DESIGN OF DEPRESSION AND ANXIETY WITH NAÏVE BAYES METHOD Jennie Angelyn; Ramalia Noratama Putri
Journal of Applied Business and Technology Vol. 2 No. 2 (2021): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.302 KB) | DOI: 10.35145/jabt.v2i2.65

Abstract

Depression and Anxiety are mental illness that arise in the presence of depression and anxiety from within the individual. The depression having features them level a dramatic decline to an interest, trouble sleeping and eat, the guilt or feel having no value self, and usually followed by a feeling of agitated, uneasiness is the norm reasonable like when we will do appearance in front of people. However, for the level of anxiety that must be considered is when the individual experiences an excessive intensity of anxiety unlike other normal individuals. The method in the system used to diagnose depression and anxiety is the Naïve Bayes Method. The process of using the naïve bayes method by using 50 correspondent data then taking 5 samples from the diagnostic results to prove the accuracy of the data generated after being diagnosed, this method can provide diagnosis, then provide therapy as an initial preventive step for sufferers, and as a solution to suppress therapy costs for suffers and sufferers’ choice as the first step before seeing the experts in person.
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.