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All Journal JURIKOM (Jurnal Riset Komputer) KLIK: Kajian Ilmiah Informatika dan Komputer
Adam Sekti Aji
Universitas Teknologi Yogyakarta, Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Car Oil Usage Period Checking Application for Car Workshop Based on Mobile and Website Prasasti Dani Harry Kuncoro; Adam Sekti Aji
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1411

Abstract

Oil is an important part of a vehicle, especially the engine. Cars really need to pay attention to maintenance, especially when using the oil used in the engine. Until now, many car oil maintenance has not paid much attention, resulting in damage to the components in the engine, and also still few pay attention to the kilometre indicator that has been travelled on the speedometer as a reference in changing engine oil in the car. This research was made to provide solutions to existing problems and with the hope that this application can help car users in carrying out engine maintenance on vehicles used in a more effective and efficient way. In addition to changing the oil regularly according to the manufacturer's guidelines, vehicle owners also need to understand the importance of checking the oil level regularly and ensuring there are no leaks. By understanding the importance of car oil maintenance, vehicle owners can ensure optimal performance and avoid unnecessary engine damage, which in turn can save repair costs and extend vehicle life. The application developed is a REST API implementation created using Android Studio tools with a MySQL database as a place to store oil data on vehicles.
Perancangan Sistem Pelayanan Klinik Gigi Berbasis Web dan Mobile dengan Integrasi Sistem Antrian Digital menerapkan Algoritma First Come First Served (FCFS) Fitria Dwi Handayani Yusuf; Adam Sekti Aji
JURIKOM (Jurnal Riset Komputer) Vol. 12 No. 6 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i6.9324

Abstract

Efficient and responsive dental clinic services are essential for improving patient satisfaction and ensuring streamlined healthcare delivery. However, many independent dental clinics still rely on manual procedures for patient registration, scheduling, and queue management, which often lead to long waiting times, unpredictable service flow, and a high risk of administrative errors. These issues negatively impact the overall quality of service and reduce operational effectiveness. This study aims to design and implement a web- and mobile-based dental clinic service system integrated with a digital queuing mechanism to address these challenges. The system was developed using Flutter as the patient-facing mobile interface, Flask as the backend service responsible for managing business processes, and Supabase as the real-time database and user authentication platform. Key features of the system include patient registration and login, service booking, automated scheduling based on reservation time or arrival order, real-time queue monitoring, electronic medical record management, and integrated digital payments to facilitate transactions. Based on functional and performance testing, the system was able to reduce service processing time by up to 80% compared to manual methods, minimize data entry errors, and significantly improve the accuracy of queue management. User feedback also indicated that the system provides a more convenient and informative experience, as patients can easily monitor their queue position through the mobile application. Overall, the proposed system effectively enhances service efficiency, data accuracy, and the quality of dental clinic operations, while also demonstrating strong potential for further development and scalability across larger healthcare facilities
Pengembangan Sistem Deteksi Plagiarisme Dokumen Jurnal Berbasis Bidirectional Encoder Representations from Transformers Dan Cosine Similarity Cahya Yoga Ariyanto; Adam Sekti Aji
JURIKOM (Jurnal Riset Komputer) Vol. 12 No. 6 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i6.9325

Abstract

The development of digital technology has had a significant impact across various fields, including education and the management of scientific documents. The ease of access to online journals has introduced a new challenge—an increase in the potential for plagiarism. To address this issue, an automated system capable of detecting document similarity quickly and accurately is required. This study aims to develop a plagiarism detection system based on Cosine Similarity and Bidirectional Encoder Representations from Transformers (BERT). The research stages include text preprocessing, word weighting using Term Frequency–Inverse Document Frequency (TF-IDF), Cosine Similarity computation, BERT model training, and model performance evaluation. The results show that integrating BERT with TF-IDF significantly improves performance compared to using BERT alone. Based on the experiments, the BERT model with TF-IDF achieved the highest accuracy of 0.9621 in a 10:90 data split scenario, with a precision of 0.8141, recall of 0.7302, and F1-score of 0.8022. Meanwhile, the BERT model without TF-IDF only achieved an accuracy of 0.8529. The application of Cosine Similarity with a threshold value of 0.6 also proved effective in identifying plagiarized and non-plagiarized documents. These findings demonstrate that combining BERT and TF-IDF enhances the accuracy of plagiarism detection systems by simultaneously capturing semantic context and word weighting.
Co-Authors Cahya Yoga Ariyanto Fitria Dwi Handayani Yusuf Prasasti Dani Harry Kuncoro