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Journal : Journal of Applied Business and Technology

PROMETHEE METHOD FOR DECISION SUPPORT SYSTEM Andra Andra; Alyauma Hajjah
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 (1087.535 KB) | DOI: 10.35145/jabt.v1i1.24

Abstract

The high demand for air conditioners (AC) from year to year has caused an increase the number of AC manufacturers from abroad entering Indonesia market. Here the author will research the PROMETHEE Method for Decision Support Systems. The author will design the application to recommend the best AC where each calculation methods can be tested using the Confusion Matrix Calculation. Confusion Matrix Calculation Results for ½ PK Air Conditioning PROMETHEE methods where, Recall, Precision, Accuracy are all 100% and Error is 0%.
Decision Support System for Best Lecturer Selection using Analytical Network Process (ANP) and TOPSIS Method Junita Cahyati Sinaga; Alyauma Hajjah
Journal of Applied Business and Technology Vol. 1 No. 2 (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 (672.619 KB) | DOI: 10.35145/jabt.v1i2.34

Abstract

Lecturer performance is influential in increasing student learning motivation. Each lecturer has a different character, nature and way of teaching. This causes students to choose and determine the best lecturer according to the students themselves. One of the Decision Support Systems (DSS) in assessing the best lecturers is using the ANP and TOPSIS methods. The Analytic Network Process (ANP) method is used to determine the weight of the criteria according to decision making, then the TOPSIS method is used to determine the rank / achievement of lecturers. This decision support system is expected to help and provide an alternative in assessing lecturer achievement. The results of this study will be in the form of an information system which is expected to assist in processing data by designing the best lecturer assessment information system using the ANP and TOPSIS methods.
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.