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All Journal Traksi : Majalah Ilmiah Teknik Mesin Journal Of Artificial Intelligence And Software Engineering
Aditya, Ari
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Computer Science & IT Energy Engineering

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DESIGN OF CONVEYOR FOR DRAINING FRYING PRODUCTS AND MIXING SKIN CRACKERS AT UMKM ADIARSA KARAWANG Aditya, Ari
TRAKSI Vol 24, No 2 (2024): TRAKSI
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/traksi.24.2.2024.204-216

Abstract

UKM Food Karawang is a small industry engaged in making leather crackers with the main raw material being cowhide. UKM which was founded in 2004 until now produces skin crackers. On this occasion, the author tries to analyse work productivity, effective and efficient use of work tools, because productivity is continuous with the use of simple and not yet representative tools, it is necessary to design work aids to improve productivity in UKM. One way to overcome efforts to increase productivity in UKM is to carry out an analysis of every production process that occurs in UKM. After that, it can be proposed what improvements need to be made to overcome productivity deviations. From the results of research conducted on cracker UKM, there are inefficient production work steps and the use of simple production equipment which can cause inefficiency in the production of skin crackers. A lot of liquid cooking oil was spilled and the cracker seasoning was mixed unevenly during the seasoning process. The potential for inefficiency found in each process at UKM Food Karawang is in the drying process, fur removal and skin cleaning, in the process of taking raw materials, boiling, draining, cutting, frying, packaging, and in the seasoning process. Based on research, the inefficient cracker production process occurs at the stage of the cooking oil draining process and the seasoning mixing process. Things that can cause inefficiency are work tools that are not effective when draining and crackers thatare not mixed evenly during the seasoning process, so it is recommended that companies improve the condition of work tools in order to minimize losses with draining tools in the form of conveyors and spice mixers that are mechanically designed. by paying attention to the dimensions of the work space in the process of frying and powdering crackers.
Sentiment Analysis of Quizizz Application User Reviews Using Logistic Regression Algorithm Aditya, Ari; Tresnawati, Shandy
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7292

Abstract

Digital learning applications like Quizizz are increasingly popular for offering interactive learning experiences. As user numbers grow, so do the reviews on platforms like Google Play Store, reflecting user perceptions of app quality. This study aims to analyze user review sentiment toward the Quizizz application using the Logistic Regression algorithm. The data consists of Indonesian-language reviews collected from March to December 2024. The analysis process includes text preprocessing using the Sastrawi library, lexicon-based sentiment labeling, TF-IDF weighting, and classification using Logistic Regression. The model is evaluated using accuracy, precision, recall, and f1-score. The results show that most reviews are positive, and the model performs well in sentiment classification. These findings offer insights for developers to improve the app’s quality and user experience.
Co-Authors Tresnawati, Shandy