Article Per Year (5 Year)
p-Index From 2020 - 2025
1.503
P-Index
This Author published in this journals
All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Komputer Terapan Seminar Nasional Teknologi Informasi Komunikasi dan Industri Journal of Applied Computer Science and Technology (JACOST) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding Applied Business and Engineering Conference Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat)
Syefrida Yulina
Politeknik Caltex Riau
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 10 Documents
Search

 1 
Algoritma Penyisipan Frame untuk Peningkatan Akurasi Metode Aligned Peak Signal-to-Noise Ratio dalam Pengukuran Kualitas Video Yoanda Alim Syahbana; Wecka Imam Yudhystira; Syefrida Yulina
Jurnal Komputer Terapan  Vol. 1 No. 1 (2015): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

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

Abstract

Pengukuran kualitas video secara objektif mampu mengatasi kekurangan penilaian kualitas secara subjektif dalam hal waktu dan tenaga yang dibutuhkan. Pengukuran secara objektif ini menggunakan sinyal video, noise, dan parameter encoder untuk memperkirakan kualitas yang dirasakan penonton. Peak Signal-to-Noise Ratio (PSNR) merupakan salah satu metode pengukuran secara objektif yang cukup populer. Tetapi, metode PSNR yang konvensional memiliki ketidak-akurasian ketika mengukur video yang ditransmisikan melalui jaringan nirkabel dan mobile. Ini dikarenakan adanya paket hilang yang bisa menyebabkan hilangnya frame video. Pada tulisan ini dipaparkan rancangan sebuah algoritma penyisipan frame untuk meningkatkan akurasi metode PSNR. Percobaan telah dilakukan untuk menguji algoritma yang dirancang. Hasilnya percobaan menunjukkan PSNR dengan algoritma penyisipan frame mampu mencapai nilai PMCC sebesar 0.86. Dengan kata lain, akurasi PSNR konvensional telah mengalami peningkatan dengan adanya algoritma penyisipan frame.
Perancangan Aplikasi Kids Menu Care Berbasis Constraint Satisfaction Problem dan Algoritma Backtracking Syefrida Yulina; Dewi Hajar
Jurnal Komputer Terapan  Vol. 3 No. 2 (2017): Jurnal Komputer Terapan November 2017
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.049 KB)

Abstract

Dalam rangka mengurangi kegemukan pada anak dan remaja, penting untuk melakukan perencanaan makan dan tumbuh kembang optimal. Dengan kondisi saat ini, para orang tua akan sangat membutuhkan sebuah pengetahuan tentang asupan makanan dan nutrisi yang diperlukan oleh anak dan remaja. Dalam mengatasi masalah ini, maka diperlukan aplikasi yang dapat digunakan sebagai perencanaan optimal menu makanan bagi anak dan remaja untuk pencegahan secara dini penyakit diabetes dari segi pola makan yang teratur dan takaran makanan yang sesuai dengan kebutuhan kalori. Penelitian ini merancang dan membangun sebuah aplikasi yang bernama Kids Menu Care yang dapat digunakan oleh orang tua atau anak/remaja yang teridentifikasi dalam kondisi pradiabetes. Aplikasi ini dibangun dengan menggunakan konsep Constraint Satisfaction Problem dan algoritma backtracking untuk penelusuran solusi/ menu makanan yang tepat. 
Rancang Bangun Sistem E-Commerce Pada Toko Pakaian Menggunakan Metode Prototype (Studi Kasus: Toko Pakaian Richsunday Pekanbaru) dwipra fitrah melandri; syefrida yulina
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2021: SNTIKI 13
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Richsunday merupakan perusahaan brand clothing asal kota pekanbaru, Richsunday memiliki masalah Dalam proses penjualan online karena dalam pemesanan produknya pelanggan menggunakan aplikasi Instagram dan jika ingin bertanya informasi ukuran dan stok pakaian akan dialihkan ke aplikasi WhatsApp sehingga pegawai toko kesulitan dalam membalas satu-persatu pertanyaan pelanggan. Oleh sebab itu, dari permasalahan  tersebut maka diperlukan sebuah aplikasi yang dapat membantu Proses penjualan produk menjadi lebih mudah. Proyek akhir ini menyajikan sebuah aplikasi ecommerce pada toko Richsunday. Aplikasi ini dibangun menggunakan PHP dan MySQL sebagai database. Sistem ini akan memanfaatkan metode Prototyping. Aplikasi ini diuji dengan pengujian Black Box Testing yang menghasilkan bahwa sistem telah sesuai dengan fungsinya. Dan pengujian menggunakan UAT dan Usability Testing  yang menghasilkan nilai 97%. artinya sistem informasi ecommerce dapat berfungsi dengan baik. Sehingga dengan adanya sistem ini mampu memberikan kemudahan kepada toko pakaian Richsunday dalam pelayanan transaksi penjualan kepada pelanggan toko Richsunday.
Exploratory Data Analysis untuk Pembelajaran Daring Sinkron Berdasarkan Gambar Digital AFEA Syefrida Yulina; Mona Elviyenti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1132.318 KB) | DOI: 10.22146/jnteti.v11i2.3867

Abstract

The spread of COVID-19 throughout the world has affected the education sector. In some higher education institution, such as Polytechnic Caltex Riau (PCR), it is mandatory for students to participate in synchronous or asynchronous learning activities via virtual classroom. Synchronous online learning is usually supported by video conferencing media such as Google Meeting or Zoom Meeting. The communication between lecturers and students is captured as an image as evidence of students’ interaction and participation in certain learning subjects. These images can provide information for lecturers in determining students’ internal feelings and measuring students’ interest through facial emotions. Taking this reason into account, the current research aims to analyze the emotions detected in facial expression through images using automatic facial expression analysis (AFEA) and exploratory data analysis (EDA), then visualize the data to determine the possible solution to improve the educational process’ sustainability. The AFEA steps applied were face acquisition to detect facial parts in an image, facial data extraction and representation to process feature extraction on the face, and facial expression recognition to classify faces into emotional expressions. Thus, this paper presents the results obtained from applying machine learning algorithms to classify facial expressions into happy and unhappy emotions with mean values of 5.58 and 2.70, respectively. The data were taken from the second semester of 2020/2021 academic year with 1,206 images. The result highlighted the fact that students showed the facial emotion based on the lecture types, hours, departments, and classes. It indicates that there are, in fact, several factors contributing to the variances of students’ facial emotions classified in synchronous online learning.
RANCANG BANGUN APLIKASI PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) UNTUK MENJAGA LOYALITAS PELANGGAN (STUDI KASUS: MAGENTA COKLAT, PADANG) disha rahmatya; Syefrida Yulina; Yohana Dewi Lulu Widyasari
Jurnal Sistem Informasi Vol 12, No 2 (2020)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.88 KB) | DOI: 10.36706/jsi.v12i2.9487

Abstract

Persaingan perusahaan yang sangat ketat pada era ini membuat sebuah perusahaan harus mengatur strategi proses bisnis untuk dapat mempertahankan pelanggan mereka, salah satu nya apa yang dibutuhkan dan diinginkan pelanggan mereka. Magenta Coklat, padang merupakan sebuah perusahaan yang bergerak dibidang penjualan kue. Metodologi yang digunakan untuk mengatur strategi bisnis yang akan dilakukan, dengan menggunakan pendekatan 2 perspektif CRM dan model LRFM. 2 perspektif CRM yang digunakan yaitu Collaborative dan Operational, dimana fungsi dari 2 perspektif tersebut adalah untuk mendapatkan strategi dengan tujuan meningkatkan kepuasan pelanggan. Model LRFM adalah metode yang digunakan untuk mendapatkan segmentasi pelanggan berdasarkan kategori pelanggan sehingga toko dapat dengan mudah memberikan hadiah kepada pelanggan berdasarkan kategori. Model LRFM terdiri dari dari Length, Recency, Frequency, Monetary. Kategori dari LRFM adalah core customer, potential customer, lost customer, consumin resource customer. Dari analisis model (Length, Recency, Frequency, dan Monetary) LRFM sistem telah berhasil diimplementasikan pada sistem magenta coklat yang didapat berdasarkan hasil pengujian loyalitas pelanggan dimana persentase dari loyalitas pelanggan adalah 88,67% yang artinya persentase pelanggan yang merasa dirinya loyal diatas rata-rata 80%. Saran dari aplikasi ini berdasarkan hasil survei pelanggan yaitu aplikasi dapat ditambahkan fitur chatting agar dapat mempermudah pelanggan dalam mendapatkan informasi lebih dari admin magenta coklat. Kata kunci: Customer Relationship Management, LRFM,
Dataset Gambar Wajah untuk Analisis Personal Identification Syefrida Yulina; Hoky Nawa
Journal of Applied Computer Science and Technology Vol 3 No 2 (2022): Desember 2022
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v3i2.427

Abstract

In today's era, which is supported by technological advances, personal assistance through the face can be carried out by sophisticated machines and robots. One of its applications is personal identification using data mining. But before conducting data training and data classification, it is necessary to carry out the process of data collection and data cleaning or data pre-processing. Currently the face dataset for personal identification at the Caltex Riau Polytechnic in particular is still in the form of raw data, namely in the form of a collection of images that have not been pre-processed. Therefore, this research will perform image preprocessing to clean up the image data that has been collected so that the data can become a cleaner source of information and can be used at a later stage. The data used in this study are image data or photos of Caltex Riau Polytechnic students. At the facial image pre-processing stage using the OpenCV library using the Python programming language. Images collected by 500 students for 5 students. The results of this study are the personal identification dataset of Caltex Riau Polytechnic students consisting of 280 images that have successfully passed the stages of grayscaling, cropping, resizing and Normalization. This dataset is stored in the file data_norm.npz. White box testing is carried out to determine the accuracy of the application of the image pre-processing stage with the test results stating that all functional basis paths applied are in accordance with the cyclometic complexity and its independent path.
Design and Implementation: JavaFX Face Detection with Scene Builder and Netbeans IDE Syefrida Yulina
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.561 KB)

Abstract

JavaFX face detection is an application widely used to detect and recognize faces in digital images. One of the challenging problems in the image processing is how to develop and design an automatic face recognition application using JavaFX technology. JavaFX is a library of Java that is used to build rich internet applications (RIA) which can run across several platforms such as Desktops, Mobile Devices, TVs, Tablets, etc. Design and implementation of this application applies the concept of model-view-controller using framework Scene Builder and Netbeans IDE. Scene Builder is used as a tool to add components of GUI in the view that can produce document called FXML. Netbeans IDE is an integrated development environment for FXML document editing and maintaining the connection between view and controller. In this research stages of creating JavaFX Face Detection application are started with requirements identification, followed by design of UI components in Scene Graph, integration of the scene builder panels, and then making controller
Rancang Bangun Sistem Informasi Berbasis CustomerRelationship Management (CRM) Pada Heri Cafe Yulia Putri Afivah; Syefrida Yulina
ABEC Indonesia Vol. 10 (2022): 10th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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

Abstract

Heri cafe is one of the cafes located on Jalan Lintas Ujung Tanjung, Tanah Putih sub-district, RokanHilir Regency. The improvement of the economy in the Rokan Hilir area is followed by an increase in people'sincome, especially the Ujung Tanjung area which can change people's lifestyles to become consumptive.Characteristics of people who tend to have a lifestyle that likes to hang out which encourage more and morehangout places such as cafes to be opened. Heri cafe still uses the manual method, namely by direct buyers comingto order the cafe menu, transaction data is also still written using notes and customer data has never beenrecorded so that they cannot determine the right strategy to continue to provide maximum service to cafe visitors.Heri cafe also still uses social media Facebook and Instagram to get complete information about the discountsprovided. With these problems, a system was built by applying the Framework of Dynamic CRM as one of thefeatures contained in CRM, aiming to obtain customer satisfaction information from customers so that the outputis Relationship Commitment (a committed relationship), namely loyal customers to Heri cafe, This system usesthe PHP (Hypertext Preprocessor) programming language, and MySQL as the database. Blackbox testing foundthat 100% of the system functionality went well and usability testing was applied to 30 respondents, namelyefficiency aspect 82.4%, learning aspect 86.75%, memory aspect 88%, aspect error 93%, satisfaction aspect 96.5%. From these 5 usability characteristics, an average of 89.33% of respondents stated that this system has beenaccepted by users.
Pelatihan Pembuatan Game Untuk Siswa SMK Negeri 5 Pekanbaru Menggunakan Aplikasi Scratch Mona Elviyenti; Suci Ramadona; Syefrida Yulina
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 1 No. 1 (2023): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.666 KB) | DOI: 10.35143/jiterpm.v1i1.5861

Abstract

Di era yang semakin mendekati Industri 5.0, setiap individu mulai dari anak-anak hingga lansia pada banyak aspek kehidupan berketergantungan dengan teknologi baik untuk membantu kegiatan sehari-hari, pekerjaan bahkan kebutuhan akan hiburan. Oleh sebab itu saat ini kesadaran terhadap teknologi diperkenalkan pada usia yang lebih dini. Hal ini mendorong Sekolah untuk memperkenalkan lebih banyak aspek teknologi yang berhubungan dengan computer dengan metode yang semakin bervariasi. Untuk membantu pemenuhan kebutuhan pihak sekolah, pelatihan pembuatan game diberikan kepada siswa, menggunakan aplikasi scratch. Aplikasi scratch digunakan untuk mendukung pemenuhan kebutuhan sekolah, memperkenalkan aplikasi yang dapat dengan mudah dipelajari oleh siswa. Aplikasi scratch menghasilkan model animasi untuk menjadi salah satu alternatif media pembelajaran bagi siswa. Pengembangan media ini mengikuti model 4D yang terdiri dari 4 tahap pengembangan yaitu: pendefinisian, perancangan, pengembangan, dan penyebaran. uji coba program dilakukakan pada siswa kelas 10 jurusan TIK, SMK N 5 Pekanbaru.
Rancang Bangun Aplikasi Food Waste Management pada Usaha Food and Beverages Heni Rachmawati Santoso; Syefrida Yulina
Jurnal Komputer Terapan Vol. 9 No. 1 (2023): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v9i1.5840

Abstract

Food waste management should be an essential concern in the food and beverages (F&B) industries. FAO notes that the F&B business is one of the causes of food waste, both from the production level to consumer consumption. This study aims to help F&B businesses have a food waste management application, as well as help recommend menus that have a lower probability of food waste appearing. The study uses queuing techniques in handling material stocks and conducting food waste audits by documenting the groupings of the waste produced. The results of the two previous functions become input for the menu recommendation process with minimal waste based on the Contextual Model approach and Multi-Criteria Decision Making (MCDM). The results show that the queuing mechanism in handling material stocks has succeeded in reducing COGS by 24.8%. The waste audit succeeded in calculating the percentage of food loss and food waste that appeared, and the menu recommendations succeeded in providing the best alternative that minimized the appearance of waste
Co-Authors Dewi Hajar disha rahmatya dwipra fitrah melandri Heni Rachmawati Hoky Nawa Mona Elviyenti Mona Elviyenti Suci Ramadona Wecka Imam Yudhystira Yoanda Alim Syahbana Yohana Dewi Lulu Widyasari Yulia Putri Afivah