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All Journal DINAMIKA DOTCOM Teknik dan Ilmu Komputer RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal ULTIMATICS ComTech: Computer, Mathematics and Engineering Applications Jurnal Atma Inovasia
Fredicia Fredicia
Universitas Kristen Krida Wacana
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Mathematics Social Sciences Other

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Perangkat Ajar Alat Musik dan Lagu Tradisional Indonesia untuk Pendidikan Anak Sekolah Dasar Berbasis Multimedia Angelina, Melisa; Sevani, Gisela Nina; ., Fredicia
Teknik dan Ilmu Komputer Vol. 03 No. 10 April-Juni 2014
Publisher : Teknik dan Ilmu Komputer

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Aplikasi Informasi Penyakit Hepatitis Hendra, Hendra; Sevani, Nina; Fredicia, Fredicia
Teknik dan Ilmu Komputer vol. 03 no. 09 Januari-Maret 2014
Publisher : Teknik dan Ilmu Komputer

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Implementasi Push Notification pada Informasi Perkulihaan dan Kegiatan Mahawsiwa Berbaris Android Setiawan, Jefferson; Kristianto, Edy; ., Fredicia
Teknik dan Ilmu Komputer Vol. 4 No. 14 April - Juni 2015
Publisher : Teknik dan Ilmu Komputer

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AbstrakDengan pesatnya perkembangan teknologi saat ini, banyak universitas yang telah memanfaatkan teknologi dalam sistem perkuliahannya, seperti melihat jadwal kelas, jadwal ujian, atau informasi kegiatan secara online. Namun, hal tersebut ternyata masih belum cukup, dikarenakan saat ini jumlah masyarakat di Indonesia yang menggunakan perangkat mobile sudah lebih dari 50% dari jumlah penduduknya. Saat ini kampus Ukrida belum memiliki aplikasi mobile untuk informasi perkuliahan. Untuk itu, diperlukan sebuah aplikasi mobile untuk meningkatkan fitur-fitur dari informasi tersebut. Beberapa contoh manfaatnya adalah dapat memberikan notifikasi jika adadosen yang berhalangan hadir dan juga mendapat pengingat dari kegiatan yang harus diikuti oleh mahasiswa. Penelitian ini bertujuan untuk memudahkan mahasiswa dalam mendapatkan informasi perkuliahan dan informasi kegiatan yang ada di Ukrida, yang terintegrasi dengan smartphone Android. Aplikasi ini dibuat dengan menggunakan teknologi web untuk pengambilan data yang ada di server dan Android Studio dalam pengembangan aplikasinya. Aplikasi ini juga dilengkapi dengan push notification yang akan memudahkan mahasiswa dalam mendapatkan informasi mengenai perubahan jadwal kuliah. Hasil pengujian terhadap aplikasi ini dilakukan melalui uji coba secara langsung dan menggunakan kuesioner. Berdasarkan hasil kuesioner, responden merasakan aplikasi ini berguna untuk menunjang perkuliahannya.Kata Kunci: Android, informasi perkuliahan, push notification
KAJIAN IDENTIFIKASI MODEL DIAGNOSIS NEUROBLASTOMA DENGAN METODE BACKPROPAGATION DAN PRINCIPAL COMPONENT ANALYSIS Hayat, Cynthia; Fredicia, Fredicia
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 9 NO 2 TAHUN 2018
Publisher : DINAMIKA DOTCOM

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Neuroblastoma is a type of embryonal cancer of the nervous system that is mostly found in children. Most etiologies of neuroblastoma are unknown, so many patients undergo treatment at an advanced stage. The importance of detection as early as possible is very necessary in neuroblastoma cancer so that children diagnosed with neuroblastoma can get a good prognosis. Through this study, it is expected to be able to know the feasibility of research with regard to artificial neural network procedures and the proposed PCA method. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithms. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithm. Backpropagation training by conducting feed-forward from input training patterns, calculations, related errors, and weighting settings based on previous weightsKeywords:  literature study, identification, backpropagation, PCA
Aplikasi Smart Investment Planner Berbasis Web K., Prasetya; K., Endah; Fredicia, Fredicia
ComTech: Computer, Mathematics and Engineering Applications Vol 6, No 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2272

Abstract

The lack of knowledge of investment products lead many people decided not to invest for their future. This can be overcome by utilizing the information and communication technology development by making a web application of Smart Investment Planner with the aim to recognize various types of investment product as well as the character investment and tips for users. This application uses a set of data as knowledge base which obtained from the literature, discussions with economic experts, database design, user interface design, as well as tests and evaluations by experts. The result of these applications concluded that this application collect the information as well as investment products that suit into their needs and also encourage them to start invest.
Aplikasi Smart Investment Planner Berbasis Web Prasetya K.; Endah K.; Fredicia Fredicia
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2272

Abstract

The lack of knowledge of investment products lead many people decided not to invest for their future. This can be overcome by utilizing the information and communication technology development by making a web application of Smart Investment Planner with the aim to recognize various types of investment product as well as the character investment and tips for users. This application uses a set of data as knowledge base which obtained from the literature, discussions with economic experts, database design, user interface design, as well as tests and evaluations by experts. The result of these applications concluded that this application collect the information as well as investment products that suit into their needs and also encourage them to start invest.
Pengembangan Model Pengenalan Wajah Manusia dengan Teknik Reduksi Dimensi Bi2DPCA dan Support Vector Machine sebagai Classifier Fredicia Fredicia; Agus Buono; Endang Purnama Giri
Ultimatics : Jurnal Teknik Informatika Vol 8 No 1 (2016): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.244 KB) | DOI: 10.31937/ti.v8i1.497

Abstract

This paper presents the modeling of face recognition using feature extraction based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) as a classifier. Three PCA techniques were compared, they are 1DPCA, 2DPCA and Bi-2DPCA. Meanwhile, three type of SVM kernel functions-linear, polynomial, and radial basis function (RBF) were used. The experiment used the ORL Face Database AT&T Laboratory, which contain 400 images with 10 images per each person. The leave one out method is used for validating each pair of extraction and classifier method. The highest accuracy is obtained by a combination of linear kernel and Bi-2DPCA85%, with 94.25%, and also the fastest computation time, is 15.34 seconds. Index Terms— Face Recognition, Principle Component Analysis, Kernel, Support Vector Machine, Leave-one Out Cross Validation
Pengaruh Pre-Test dan Post-Test Pada Inklusivitas Ekstrakurikuler Python Bagi Siswa/i Peserta Fredicia, Fredicia; Sanders Keane Dylan Daniyola; Jennifer Budi Muljono; Steven Felizio; Alexandra Gabriela
Jurnal Atma Inovasia Vol. 5 No. 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i2.10250

Abstract

Pendidikan inklusif adalah sistem penyelenggaraan pendidikan yang memberikan kesempatan yang sama bagi semua siswa, termasuk yang berkebutuhan khusus, untuk mengembangkan keterampilan mereka. Kegiatan ekstrakurikuler berbasis pemrograman menawarkan platform untuk mengasah keterampilan teknis, terutama dalam bahasa pemrograman Python. Pengabdian ini bertujuan untuk mengevaluasi pengaruh penerapan Tes Awal (Pre-Test) dan Tes Akhir (Post-Test) terhadap inklusivitas dan efektivitas kegiatan ekstrakurikuler Python di kalangan siswa Sekolah Menengah Atas (SMA). Dengan menggunakan pendekatan deskriptif kualitatif dan kuantitatif, pengabdian dilakukan dengan melaksanakan observasi kelas, wawancara, serta analisis hasil pre-test dan post-test dari dua sekolah di Jakarta. Hasilnya menunjukkan bahwa tes awal membantu mengidentifikasi pemahaman awal siswa, sementara tes akhir efektif mengukur peningkatan pemahaman mereka. Selain itu, ditemukan pula bahwa program ekstrakurikuler ini memberikan kontribusi yang signifikan terhadap pengembangan hard skills siswa dari berbagai latar belakang, mendukung terciptanya lingkungan belajar yang inklusif. Diharapkan temuan ini dapat memberikan panduan bagi guru dalam menerapkan metode pengajaran yang lebih adaptif dan inklusif di era digital.
Pengaruh Pre-Test dan Post-Test Pada Inklusivitas Ekstrakurikuler Python Bagi Siswa/i Peserta Fredicia, Fredicia; Sanders Keane Dylan Daniyola; Jennifer Budi Muljono; Steven Felizio; Alexandra Gabriela
Jurnal Atma Inovasia Vol. 5 No. 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i2.10250

Abstract

Pendidikan inklusif adalah sistem penyelenggaraan pendidikan yang memberikan kesempatan yang sama bagi semua siswa, termasuk yang berkebutuhan khusus, untuk mengembangkan keterampilan mereka. Kegiatan ekstrakurikuler berbasis pemrograman menawarkan platform untuk mengasah keterampilan teknis, terutama dalam bahasa pemrograman Python. Pengabdian ini bertujuan untuk mengevaluasi pengaruh penerapan Tes Awal (Pre-Test) dan Tes Akhir (Post-Test) terhadap inklusivitas dan efektivitas kegiatan ekstrakurikuler Python di kalangan siswa Sekolah Menengah Atas (SMA). Dengan menggunakan pendekatan deskriptif kualitatif dan kuantitatif, pengabdian dilakukan dengan melaksanakan observasi kelas, wawancara, serta analisis hasil pre-test dan post-test dari dua sekolah di Jakarta. Hasilnya menunjukkan bahwa tes awal membantu mengidentifikasi pemahaman awal siswa, sementara tes akhir efektif mengukur peningkatan pemahaman mereka. Selain itu, ditemukan pula bahwa program ekstrakurikuler ini memberikan kontribusi yang signifikan terhadap pengembangan hard skills siswa dari berbagai latar belakang, mendukung terciptanya lingkungan belajar yang inklusif. Diharapkan temuan ini dapat memberikan panduan bagi guru dalam menerapkan metode pengajaran yang lebih adaptif dan inklusif di era digital.
PENERAPAN HOUGH TRANSFORM, CONNECTED COMPONENT LABELING DAN TEMPLATE MATCHING UNTUK PENGENALAN KARAKTER PLAT KENDARAAN Fredicia Fredicia; Gardyan Santoso
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4636

Abstract

Vehicle license plates are the identities of motor vehicles that are often used for record-keeping when using paid parking lots. Recording vehicle license plates requires the application of information technology so that parking service administration is more efficient and free from recording errors. Information technology offers the application of OCR (Optical Character Recognition) methods to help the process of recording characters found on vehicle license plates. OCR has many techniques that can help the character recognition process, starting from the initial image capture process to the recognition stage. The initial image stage after being captured is to perform the initial image processing process by converting the image, determining the vehicle license plate area in the vehicle image, performing character labeling and segmentation on the plate image, and performing character recognition. The approach to character recognition on vehicle license plates that will be used is Hough Transform for determining the vehicle license plate area, character labeling and segmentation with Connected Component Labeling, and Template Matching as a character recognition method. The vehicle license plate character recognition model was tested with a scenario of 25 images captured directly from the parking lot. The test results produced Hough Transform and Connected Component Labeling could determine the vehicle license plate area and perform character labeling and segmentation on the vehicle license plate. Whereas in the template matching stage, the character recognition accuracy on 25 vehicle license plates was 94%. Other findings in this study are that the lighting conditions of the image environment, the number of images that become the database, and the condition of the paint of motor vehicle license plates can improve accuracy.
Co-Authors Agus Buono Alexandra Gabriela Edy Kristianto Endah K. Endang Purnama Giri Gardyan Santoso Gisela Nina Sevani Hayat, Cynthia Jennifer Budi Muljono K., Endah K., Prasetya Laksono Trisnantoro Melisa Angelina Nina Sevani Prasetya K. Sanders Keane Dylan Daniyola Setiawan, Jefferson Steven Felizio