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All Journal International Journal of New Media Technology Jurnal Sinergitas PkM & CSR Jurnal ULTIMATICS
Surbakti, Eunike Endariahna
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Public Health Social Sciences

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Journal : Jurnal ULTIMATICS

 1 
Efficient Order Management: Design and Implementation of a System using Scheduling Algorithms and Expert Validation Surbakti, Eunike Endariahna; Rizky, Nazim; Pane, Ivransa Zudhi; Khouwira, Filbert
ULTIMATICS Vol 15 No 2 (2023): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v15i2.3489

Abstract

This research focuses on the crucial role of system interfaces in enhancing user experience, particularly in the context of an online canteen ordering system. A well-designed interface not only improves user satisfaction but also streamlines the ordering process, addressing issues like queuing in canteens. The study employs Expert Validation to gather valuable insights from experts, ensuring a robust foundation for system development and evaluation. The online canteen ordering system facilitates food orders through an application, eliminating the need for users to physically visit the canteen. This approach not only benefits users but also aids canteen management in efficient order handling.The scheduling algorithms, FCFS (First Come First Served) and SJF (Shortest Job First), are utilized to manage incoming orders. FCFS, chosen for its intuitive handling of queuing problems, complements the SJF algorithm, which excels in efficiently managing numerous orders. The system dynamically switches between these algorithms based on the order load, resulting in an effective queuing structure. Usability testing is conducted to evaluate the system’s user-friendliness, with an impressive average score of 86.6%. This indicates that the system is wellreceived and navigable by users. The website implementation receives an ”good” categorization through UEQ (User Experience Questionnaire) testing, with attractive design and high scores in aspects like Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. These findings collectively affirm the success of the designed interface in delivering a positive user experience for the online canteen ordering system.
Recommendation System Coffee Shop using AHP and TOPSIS Methods Siagian, Christian Andreas; Surbakti, Eunike Endariahna; Khaeruzzaman, Yaman
ULTIMATICS Vol 16 No 1 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i1.3579

Abstract

Indonesian people generally like to spend time with friends, family and business colleagues while drinking coffee. This habit of consuming coffee can not only be done at home, but can also be done in other places such as traditional and modern coffee shops. This has also significantly influenced the growth of coffee shops, especially in Tangerang. So people are faced with so many choices and alternative coffee shops to visit. This research was conducted to create a system that can recommend coffee shops in Tangerang based on priority criteria input by the user. Therefore, this recommendation system uses the Multi Criteria Decision Making (MCDM) method, where the process of making decisions is based on several criteria. This research uses the method Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This research was tested using the Usefulness, Satisfaction, and Ease of Use (USE) Questionnaire and received a very good rating with an overall score of 87.6\%, so the conclusion was that the average respondent felt helped by this recommendation system.
Optimizing CV Matching with Job Vacancies Using the Boyer-Moore Algorithm Surbakti, Eunike Endariahna
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

According to a survey conducted by a public survey agency, there was a decline in percentage from 37% to 20%, indicating a gap still exists between skills required by the job market and those possessed by job seekers. To address this issue, this study aims to assess the alignment between data from curriculum vitae (CV) and job vacancies. Boyer-Moore algorithm is implemented through a web-based system. System extracts text from a PDF file, which is used in the application of Boyer-Moore algorithm. System also retrieves selected job vacancy data and generates keywords using YAKE (Yet Another Keyword Extractor). Before processing with Boyer-Moore algorithm, all data undergoes pre-processing. Algorithm's output is either a "match found" or "no match found." Similarity score is determined by dividing number of matching keywords by total number of keywords. Additionally, system recommends other job options, aiming to suggest alternative vacancies that may better match the CV. Recommendations based on highest percentage of keyword matches from all job vacancy data stored in the system, which are sorted accordingly. Boyer-Moore algorithm was successfully implemented in the job vacancy system, and the system's performance evaluation, using 100 job vacancy data entries, yielded an average processing time of 2.84 seconds.
Efficient Order Management: Design and Implementation of a System using Scheduling Algorithms and Expert Validation Surbakti, Eunike Endariahna; Rizky, Nazim; Pane, Ivransa Zudhi; Khouwira, Filbert
ULTIMATICS Vol 15 No 2 (2023): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v15i2.3489

Abstract

This research focuses on the crucial role of system interfaces in enhancing user experience, particularly in the context of an online canteen ordering system. A well-designed interface not only improves user satisfaction but also streamlines the ordering process, addressing issues like queuing in canteens. The study employs Expert Validation to gather valuable insights from experts, ensuring a robust foundation for system development and evaluation. The online canteen ordering system facilitates food orders through an application, eliminating the need for users to physically visit the canteen. This approach not only benefits users but also aids canteen management in efficient order handling.The scheduling algorithms, FCFS (First Come First Served) and SJF (Shortest Job First), are utilized to manage incoming orders. FCFS, chosen for its intuitive handling of queuing problems, complements the SJF algorithm, which excels in efficiently managing numerous orders. The system dynamically switches between these algorithms based on the order load, resulting in an effective queuing structure. Usability testing is conducted to evaluate the system's user-friendliness, with an impressive average score of 86.6%. This indicates that the system is wellreceived and navigable by users. The website implementation receives an ”good” categorization through UEQ (User Experience Questionnaire) testing, with attractive design and high scores in aspects like Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. These findings collectively affirm the success of the designed interface in delivering a positive user experience for the online canteen ordering system.
Recommendation System Coffee Shop using AHP and TOPSIS Methods Siagian, Christian Andreas; Surbakti, Eunike Endariahna; Khaeruzzaman, Yaman
ULTIMATICS Vol 16 No 1 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i1.3579

Abstract

Indonesian people generally like to spend time with friends, family and business colleagues while drinking coffee. This habit of consuming coffee can not only be done at home, but can also be done in other places such as traditional and modern coffee shops. This has also significantly influenced the growth of coffee shops, especially in Tangerang. So people are faced with so many choices and alternative coffee shops to visit. This research was conducted to create a system that can recommend coffee shops in Tangerang based on priority criteria input by the user. Therefore, this recommendation system uses the Multi Criteria Decision Making (MCDM) method, where the process of making decisions is based on several criteria. This research uses the method Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This research was tested using the Usefulness, Satisfaction, and Ease of Use (USE) Questionnaire and received a very good rating with an overall score of 87.6\%, so the conclusion was that the average respondent felt helped by this recommendation system.
Co-Authors Anjar Pinem Aristawati, Cindy Khaeruzzaman, Yaman Khouwira, Filbert Overbeek, Marlinda Vasty Pane, Ivransa Zudhi Peranginangin, Jimmy Rizky, Nazim Siagian, Christian Andreas Tobing, Fenina Adline Twince