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All Journal EMITTER International Journal of Engineering Technology Jurnal Mantik
Lukman Junaedi
Universitas Narotama, Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition Derry Pramono Adi; Lukman Junaedi; Frismanda; Agustinus Bimo Gumelar; Andreas Agung Kristanto
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.571

Abstract

Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection Algorithms (FSA) for speech data under workload stress. FSA contributes to reducing both data dimension and computation time and simultaneously retains the speech information. We chose to use the robust Evolutionary Algorithm, Harmony Search, Principal Component Analysis, Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, and Bee Colony Optimization, which are then to be evaluated using the hierarchical machine learning models. These FSAs are explored with the conversational workload stress data of a Customer Service hotline, which has daily complaints that trigger stress in speaking. Furthermore, we employed precisely 223 acoustic-based features. Using Random Forest, our evaluation result showed computation time had improved 3.6 faster than the original 223 features employed. Evaluation using Support Vector Machine beat the record with 0.001 seconds of computation time.
Website-based food ordering information system for UMKM Hendi Rahadiansyah; Lukman Junaedi
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4642

Abstract

This research aims to help MSMEs or Micro, Small and Medium Enterprises implement their business into digital, the author will examine GISAGIS.ID MSMEs with the topic "Designing a Website-Based Food Ordering Information System for MSMEs (GISAGIS.ID Case Study)". The research method applied in this research is the Waterfall method or commonly referred to as the SDLC or System Development Life Cycles approach. system development methods system analysis and feasibility testing. using needs analysis with several techniques, namely observation, interviews and literature studies in order to find out the details of the system needed.  Results of System Needs Assessment This stage is the result of analyzing the needs used to create a food ordering information system website at Gisagis UMKM. The next process is to create a website-based information system that uses UML or Unified Modeling Languange such as use case diagrams, activity diagrams and class diagrams. The results of the research that the authors conducted showed a change in the purchasing process because they experienced success in making applications for UMKM GISAGIS.ID to be more effective and efficient in the sales and purchasing process because of the supporting applications. So that this system does not stop to develop. In supporting a wider market, developing this food ordering information system on a mobile basis, both android and ios to be simpler in ordering food and can also be developed into a B2B digital business, for example such as a franchise
Co-Authors Agustinus Bimo Gumelar Andreas Agung Kristanto, Andreas Agung Derry Pramono Adi Frismanda Hendi Rahadiansyah