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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.
WEB-BASED DESIGN OF DHARMA WANITA ASSOCIATION (DWP) LPKA CLASS II JAKARTA FINANCIAL REPORT APPLICATION Tobing, Fenina Adline Twince; Surbakti, Eunike Endariahna; Overbeek, Marlinda Vasty
Jurnal Sinergitas PKM & CSR Vol. 6 No. 2 (2022): OCTOBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jspc.v6i2.6360

Abstract

Lembaga Pembinaan Khusus Anak (LPKA)Class II Jakarta, there is a Dharma Wanita Association (DWP) Jakarta Class II LPKA organization whose members are all the wives of civil servants and also female civil servants who serve in that place. One of the keys to the success of an organization is being able to manage finances well, one of which is reflected in routinely making financial reports every month. Not only important for large companies, financial reports that are compiled and updated regularly are also important for MSME businesses, online businesses or organizations. It doesn't matter if someone doesn't have an educational background in accounting, but is still able to make complete financial reports.Technological advances encourage DWP LPKA Class II Jakarta to be able to carry out their work in terms of financial reporting to make it easier and more efficient by using applications that we have researched and implemented through the Multimedia Nusantara University (UMN) Community Service Program (PKM) in 2022 and DWP LPKA Class II Jakarta members received this form of community service with great enthusiasm. Through this PKM activity it is hoped that there will be an increase in the application of science and technology in society (mechanisms, IT, management) and for improving community values from a social and financial management perspectiveabstract in bahasaLembaga Pembinaan Khusus Anak (LPKA) Kelas II Jakarta, terdapat organisasi Dharma Wanita Persatuan (DWP) LPKA Kelas II Jakarta yang beranggotakan seluruh Istri PNS dan juga PNS wanita yang bertugas di tempat tersebut. Salah satu kunci sukses sebuah organisasi adalah mampu mengelola keuangan dengan baik, salah satunya tercermin dari rutin membuat laporan keuangan setiap bulan. Tidak hanya penting bagi perusahaan besar, laporan keuangan yang disusun dan diperbaharui secara berkala juga penting dilakukan oleh bisnis UMKM, usaha online atau organisasi. Tidak masalah jika seseorang tidak memiliki latar belakang pendidikan akuntansi, namun tetap mampu membuat laporan keuangan yang lengkap.Kemajuan Teknologi mendorong untuk membantu DWP LPKA Kelas II Jakarta untuk dapat melaksanaan pekerjaan mereka dalam hal pelaporan keuangan agar lebih mudah dan efisien dengan menggunakan aplikasi yang telah kami teliti dan kami implementasikan melalui Program Pengabdian Kepada Masyarakat (PKM) Universitas Multimedia Nusantara (UMN) tahun 2022 dan anggota DWP LPKA Kelas II Jakarta memerima bentuk pengabdian masyarakat yang kami lakukan dengan sangat antusias. Melalui kegiatan PKM ini diharapkan adanya peningkatan penerapan IPTEK di masyarakat (mekanisme, IT, manajemen) dan untuk perbaikan tata nilai masyarakat dari segi sosial dan manajeme keuangan.
IMPLEMENTATION OF HEURISTIC EVALUATION METHOD FOR EVALUATION AND RECOMMENDATIONS UI/UX DESIGN IMPROVEMENTS ON THE CINEPOLIS WEBSITE Aristawati, Cindy; Tobing, Fenina Adline Twince; Surbakti, Eunike Endariahna; Peranginangin, Jimmy; Pinem, Anjar
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3736

Abstract

UI/UX is one of the most important elements of a website. One of the tasks of UI/UX is to make it easier to achieve a goal that the user wants. Cinépolis is a cinema that has been established in Indonesia since 2014. Cinépolis then launched its own website to make it easier for users to view movie information and order tickets. Based on the questionnaires that have been distributed and calculated using the System Usability Scale or SUS method, the Cinépolis website gets a score of 54.03 and is below the SUS standard of 68. The predicate obtained from the Cinépolis website is grade D with the predicate Poor. Heuristics are methods for finding interface problems to improve usability and user experience. The joint evaluation of 2 evaluators showed that there were 20 problems on the Cinépolis website based on 10 heuristic principles, while the evaluation of the Cinépolis website improvement prototype with 1 other evaluator found 5 problem findings based on 10 heuristic principles on the Figma prototype. The prototype that has been implemented gets a final score of 88.01 using the SUS calculation based on the questionnaire data that has been distributed. The final predicate obtained from the Cinépolis repair website is grade A with the predicate of Excellent.
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.