Article Per Year (5 Year)
p-Index From 2021 - 2026
3.606
P-Index
This Author published in this journals
All Journal Scientica Education Journal (SEJ) Psikilogiya Journal Journal OF Poltica Governo JOP Journal of Adat Recht Journal of Strafvodering Indonesian Journal of Therapia Journal of Salutare Journal of Horizon Ludi Litterarri Journal Nutrizione Journal of Renewable Engineering Ipso Jure Journal of Pedagogi
Tasya, Amalia
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Renewable Engineering

 1 
Pemilihan Aplikasi Booking Online dengan Menggunakan Metode Analysis Hierarchy Process (AHP) Tasya, Amalia; Awalia , Putri Rezky; Hasanah , Uswatun
Journal of Renewable Engineering Vol. 1 No. 1 (2024): JORE-FEBRUARY
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/1ya3as38

Abstract

Teknologi yang terus berkembang pada zaman sekarang sehingga memunculkan budaya baru terutama di bagian pemesanan atau booking tiket online seperti pemesanan tiket transportasi, pemesanan kamar hotel, pemesanan tiket wisata dll yang memudahkan kita semua untuk memesan tiket dari rumah dengan menggunakan smartphone dan jaringan internet tanpa perlu mendatangi tempat, terjaga dalam keamanannya dan menghindarkan dari kehilangan tiket fisik. Di Indonesia perkembangan bisnis aplikasi booking tiket online seperti Traveloka, Tiket.com dan Pegipegi bersaing untuk menjadikan aplikasi booking tiket online yang terbaik .Oleh karena itu penelitian ini bertujuan untuk menentukan pemilihan keputusan aplikasi booking online yang paling diminati dikalangan usia 18 sampai 25 tahun dengan menggunakan empat kriteria sebagai pertimbangan dalam memilih aplikasi booking online antara lain Harga, Promosi, Interface Aplikasi dan Keamanan dengan menggunakan metode Analysis Hierarchy Process (AHP).
Machine Learning-Based Automation in Production Processes: Enhancing Efficiency and System Accuracy in Industry Amali, Amali; Tasya, Amalia
Journal of Renewable Engineering Vol. 3 No. 2 (2026): JORE - April
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/eqp79y32

Abstract

The integration of Machine Learning (ML) in production automation has become a key driver in transforming industrial systems into smart and adaptive manufacturing environments. This study aims to analyze the role of ML in improving efficiency and accuracy within production processes. The research employs a qualitative approach with a descriptive-analytical design, using library research and document analysis of reputable scientific sources. Data were analyzed through an interactive model consisting of data reduction, data display, and conclusion drawing. The findings reveal that ML significantly enhances operational efficiency through predictive maintenance, optimized scheduling, and real-time decision-making, while also improving accuracy in quality control through advanced algorithms such as deep learning, Support Vector Machines, and Artificial Neural Networks. Furthermore, ML enables process optimization by analyzing complex production variables and identifying optimal parameters. However, challenges such as data quality, system integration, and model interpretability remain critical barriers. The study concludes that a holistic integration of ML, supported by advanced technologies such as IIoT and Digital Twin, is essential for achieving higher efficiency, improved accuracy, and sustainable competitiveness in modern industrial systems.
Co-Authors Amali, Amali Awalia , Putri Rezky Baehaqi Dewi, A. Erni Ratna Faradina, Anggia Firayani, Firayani Fuji Lestari GEDE DANU SETIAWAN Gusman, Gusman Hasanah , Uswatun I Nengah Simpen Judijanto, Loso Noviya, Anis Nurul Fadhilah Rosmaria, Rosmaria Sarkowi, Sarkowi Siyamsih, Dwi Tirtawati , Gusti Ayu Yustanta, Brivian Florentis