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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Scientica: Jurnal Ilmiah Sains dan Teknologi
Wijaya, Yunan Fauzi
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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Advancing Fruit Image Classification with State-of-the-Art Deep Learning Techniques Wijaya, Yunan Fauzi; Hindarto, Djarot
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13604

Abstract

Fruit image classification technology using deep learning is making significant contributions in the agriculture and food retail sectors, promising to increase efficiency and productivity. However, there is an identified knowledge gap in dealing with the considerable variation in fruit appearance caused by factors such as type, size, color, and lighting conditions, as well as the precise identification of damage or disease. This research focuses on applying the developed Convolutional Neural Network architecture to fill this gap by using it in an extensive and diverse dataset, covering 67,692 image files categorized into 131 fruit classes. The training process showed substantial accuracy improvement, with training accuracy reaching 98.39% and validation accuracy at 90%, while training loss decreased to 0.0430 and validation loss to 0.2991. In the advanced stage of training, the training accuracy peaked at 99.43% in the 59th epoch with a shallow loss of 0.0251. However, the validation loss showed variation, indicating room for improvement in model generalization. The findings provide insight into the potential and challenges of applying Convolutional Neural Network models and fruit image classification with improved fruit sorting accuracy. Contribution to the literature in the field of information technology and agriculture by showing deep learning models can be improved to address the issue of fruit image variability.
Penerapan Algoritma Bubble Sort Dalam Aplikasi Mobile Penentuan Nilai Prestasi Siswa Resiana, Cindy Dinda; Wijaya, Yunan Fauzi; Darusalam, Ucuk
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.753

Abstract

In high school, the aim is to improve the effectiveness and time efficiency of the student performance assessment process. The solution obtained is to use the bubble sort algorithm, which will be optimized to increase the performance of the bubble sort algorithm and generate more efficient results. In the implementation of the bubble sort algorithm for this research, the sorting is done in descending order, starting from the smallest value. Consequently, the first position with the highest value is obtained as "94" for Nurlita Hasibuan, and the lowest value is "56" for Hendro Mahardika. In this study, the optimization of the algorithm resulted in a time complexity of ???? (???? ????og (????)), which performed efficiently. The system testing in this research utilized the SUS method, and the final result obtained a SUS score of "83.95", which corresponds to a grade A with an Excellent rating.
Aplikasi Mobile Pendaftaran Pasien Klinik Berbasis Algoritma Multilevel Queue Dan FIFO Untuk Meningkatkan Layanan Antrian Priambudi, Abiyoga; Wijaya, Yunan Fauzi; Darusalam, Ucuk
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.754

Abstract

In this continuously evolving era of technology, the use of smartphone has become commonplace, including in the healthcare sector. However, there are still several issues such as long queues, uncertain appointment scheduling, and unexpected waiting times in the case of health care service such as in a hospital. Therefor, the aim of this research is to address these problems by developing a mobile application that utilizes multilevel queue and FIFO algorithms. The methods used in this research include data collection through questionnaires and documentation. A specific clinic is the subject of this study, involving both patients and clinic staff. The expected outcome is to enhance patient satisfaction through more efficient and expedited registration and queue processes. The result can enhance patient satisfaction because the registration and queueing process becomes faster and more efficient.
Penerapan Algoritma Bubble Sort Dalam Aplikasi Mobile Penentuan Nilai Prestasi Siswa Resiana, Cindy Dinda; Wijaya, Yunan Fauzi; Darusalam, Ucuk
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.753

Abstract

In high school, the aim is to improve the effectiveness and time efficiency of the student performance assessment process. The solution obtained is to use the bubble sort algorithm, which will be optimized to increase the performance of the bubble sort algorithm and generate more efficient results. In the implementation of the bubble sort algorithm for this research, the sorting is done in descending order, starting from the smallest value. Consequently, the first position with the highest value is obtained as "94" for Nurlita Hasibuan, and the lowest value is "56" for Hendro Mahardika. In this study, the optimization of the algorithm resulted in a time complexity of ???? (???? ????og (????)), which performed efficiently. The system testing in this research utilized the SUS method, and the final result obtained a SUS score of "83.95", which corresponds to a grade A with an Excellent rating.
Aplikasi Mobile Pendaftaran Pasien Klinik Berbasis Algoritma Multilevel Queue Dan FIFO Untuk Meningkatkan Layanan Antrian Priambudi, Abiyoga; Wijaya, Yunan Fauzi; Darusalam, Ucuk
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.754

Abstract

In this continuously evolving era of technology, the use of smartphone has become commonplace, including in the healthcare sector. However, there are still several issues such as long queues, uncertain appointment scheduling, and unexpected waiting times in the case of health care service such as in a hospital. Therefor, the aim of this research is to address these problems by developing a mobile application that utilizes multilevel queue and FIFO algorithms. The methods used in this research include data collection through questionnaires and documentation. A specific clinic is the subject of this study, involving both patients and clinic staff. The expected outcome is to enhance patient satisfaction through more efficient and expedited registration and queue processes. The result can enhance patient satisfaction because the registration and queueing process becomes faster and more efficient.
ANALISIS SENTIMEN TERHADAP PENUTUPAN TIKTOK SHOP MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER PADA MEDIA SOSIAL X Faradian, Havadz; Rubhasy , Albar; Wijaya, Yunan Fauzi
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 4 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i4.1207

Abstract

Pemanfaatan teknologi informasi telah berkembang pesat, terutama dengan kemunculan media sosial yang memungkinkan masyarakat untuk menyampaikan pendapat secara tak terbatas. Salah satu platform microblogging yang memfasilitasi pengguna dalam berbagi pendapat, emosi, pengalaman, dan topik menarik lainnya adalah X. Di X, beragam topik dibahas oleh pengguna, termasuk tentang penutupan TikTok Shop, sebuah fitur baru dalam dunia belanja yang mencakup berbagai proses mulai dari proses pembelian hingga pengiriman dapat dilakukan tanpa harus menggunakan platform lain. Penelitian pun dilakukan untuk menguji dampak kegunaan yang dirasakan, kemudahan penggunaan yang dirasakan, dan kesesuaian dengan gaya hidup terhadap keinginan membeli melalui perdagangan sosial. Terdapat berbagai sentimen di masyarakat terkait program ini, sehingga klasifikasi pendapat berdasarkan sentimennya diperlukan untuk mengetahui kecenderungan opini terhadap penutupan TikTok Shop, apakah positif atau negatif. Dalam analisisnya, data diperoleh melalui proses scraping menggunakan bahasa pemrograman Python. Sebanyak 253 data berhasil dikumpulkan dari proses scraping, yang kemudian melalui tahap preprocessing seperti cleansing, case folding, tokenizing, normalisasi, filtering, dan stemming.
Co-Authors Faradian, Havadz Hindarto, Djarot Priambudi, Abiyoga Resiana, Cindy Dinda Rubhasy , Albar Ucuk Darusalam