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All Journal Jurnal Buana Informatika Journal of Information Technology and Computer Science Jurnal Informatika Atma Jogja
Adithama, Stephanie Pamela
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Journal : Jurnal Buana Informatika

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Rancang Bangun Real-Time Business Intelligence Untuk Subjek Kegiatan Akademik pada Universitas Menggunakan Change Data Capture Adithama, Stephanie Pamela
Jurnal Buana Informatika Vol 5, No 2 (2014): Jurnal Buana Informatika Volume 5 Nomor 2 Juli 2014
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4082.146 KB) | DOI: 10.24002/jbi.v5i2.354

Abstract

Abstract. The running of academic activities in university continuously adds more data to the existing operational system. The data are not ready for the university strategic decision making, preparing reports for accreditation purposes and academic units. Real-time business intelligence application using data warehouse can become a solution for data analysis. The process of creating a data warehouse includes designing data warehouse, retrieving academic data from multiple data sources, extracting, transforming, loading (ETL) process, creating cube; and generating report. ETL processes are conducted by using a Pull Change Data Capture approach so that data changes during a certain period can be transferred in real-time. The higher the frequency of data change requests brings us closer to real-time and requires less time than loading all the data.Keywords: real-time, business intelligence, data warehouse, academic, change data capture Abstrak.  Kegiatan akademik di universitas berjalan terus menerus dan semakin menambah banyak data pada sistem operasional yang sudah ada. Data tersebut masih belum dapat dimanfaatkan oleh pihak universitas dalam pengambilan keputusan strategis, pembuatan laporan untuk keperluan akreditasi dan unit-unit akademik. Aplikasi real-time business intelligence menggunakan data warehouse menjadi solusi untuk analisa data. Proses pembuatan data warehouse meliputi perancangan data warehouse; pengambilan data akademik dari sumber data; proses extraction, transformation, loading (ETL); pembuatan cube; dan pembuatan laporan. Proses ETL dilakukan menggunakan pendekatan Change Data Capture Pull agar perubahan data selama periode tertentu dapat dipindahkan secara real-time. Semakin tinggi frekuensi permintaan perubahan data akan semakin mendekati real-time dan semakin membutuhkan waktu yang singkat dibandingkan dengan me-load semua data.Kata Kunci: real-time, business intelligence, data warehouse, akademik, change data capture
Rancang Bangun Sistem Informasi Manajemen dan Reservasi untuk Rumah Pembinaan Adithama, Stephanie Pamela; Maslim, Martinus; Harjoseputro, Yulius; Suharno, Hisyam Rahmawan
Jurnal Buana Informatika Vol 8, No 4 (2017): Jurnal Buana Informatika Volume 8 Nomor 4 Oktober 2017
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.978 KB) | DOI: 10.24002/jbi.v8i4.1445

Abstract

Abstract. Rumah Pembinaan Carolus Borromeus (RPCB) Syantikara is a retreat house that serves the development of lay spirituality, through retreat services for youth and adult groups. The reservation record until now is still done manually, raises problems such as: double booked, rooms and facilities do not fit the initial order, the reservation process took a long time. Management information systems and reservation is built to respond the needs of RPCB Syantikara in providing services and assisting managerial decision making. This system can handle management of reservation data, recording reservations, transactions, and reporting that can be monitored in real time. The results of system testing to the user indicate that all functionality has been running properly. This system can improve RPCB Syantikara performance, streamline the reservation process, reduce transaction processing time, and improve service quality.Keywords: retreat house, reservation, information system, information system managementAbstrak. Rancang Bangun Sistem Informasi Manajemen dan Reservasi untuk Rumah Pembinaan. Rumah Pembinaan Carolus Borromeus (RPCB) Syantikara melayani pengembangan spiritualitas awam, melalui pelayanan retret bagi kelompok remaja maupun kelompok dewasa. Pencatatan reservasi hingga kini masih dilakukan secara manual sehingga menimbulkan permasalahan, seperti: double booked, ruangan dan fasilitas tidak sesuai pesanan awal, lamanya waktu untuk memproses reservasi. Sistem informasi manajemen dan reservasi dibangun untuk menanggapi kebutuhan RPCB Syantikara dalam memberikan layanan dan membantu pengambilan keputusan manajerial. Sistem ini dapat menangani proses pengelolaan data-data terkait reservasi, pencatatan reservasi, transaksi, sampai dengan pelaporannya yang dapat dipantau secara real time. Hasil pengujian sistem kepada pengguna menunjukkan bahwa semua fungsionalitas telah berjalan dengan baik. Sistem ini dapat meningkatkan kinerja RPCB Syantikara, mengefisienkan proses reservasi, mengurangi waktu pemrosesan transaksi, dan meningkatkan kualitas pelayanan.Kata Kunci: rumah pembinaan, reservasi, sistem informasi, sistem informasi manajemen
Identification of Batik in Central Java using Transfer Learning Method Adithama, Stephanie Pamela; Dwiandiyanta, B. Yudi; Wiadji , Sevia Berliana
Jurnal Buana Informatika Vol. 14 No. 02 (2023): Jurnal Buana Informatika, Volume 14, Nomor 2, Oktober 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i02.6977

Abstract

Batik was recognized as a human heritage for oral and nonmaterial culture by UNESCO due to its symbolic and philosophical ties to the lives of Indonesians. However, the younger generation is gradually losing its legacy because of technological and sociological changes that have influenced Indonesian batik. Consequently, batik knowledge is disappearing. A convolutional neural network and transfer learning techniques were utilized in deep learning to construct a model recognising batik motifs. The study utilized a dataset of one thousand images, five classes of batik designs (Banji, Kawung, Slope, Parang, and Slobog), and pre-trained architectural models VGG16 and VGG19 on Keras. The best model utilizes the VGG16 architecture, and the number of epochs is 50, with the result of testing accuracy of 0.9200.
Identification of Batik in Central Java using Transfer Learning Method Adithama, Stephanie Pamela; Dwiandiyanta, B. Yudi; Wiadji , Sevia Berliana
Jurnal Buana Informatika Vol. 14 No. 02 (2023): Jurnal Buana Informatika, Volume 14, Nomor 2, Oktober 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i02.6977

Abstract

Batik was recognized as a human heritage for oral and nonmaterial culture by UNESCO due to its symbolic and philosophical ties to the lives of Indonesians. However, the younger generation is gradually losing its legacy because of technological and sociological changes that have influenced Indonesian batik. Consequently, batik knowledge is disappearing. A convolutional neural network and transfer learning techniques were utilized in deep learning to construct a model recognising batik motifs. The study utilized a dataset of one thousand images, five classes of batik designs (Banji, Kawung, Slope, Parang, and Slobog), and pre-trained architectural models VGG16 and VGG19 on Keras. The best model utilizes the VGG16 architecture, and the number of epochs is 50, with the result of testing accuracy of 0.9200.
Co-Authors Alfonsus Setiawan Jacub Andi Wahju Rahardjo Emanuel B. Yudi Dwiandiyanta Eddy Julianto Fathur Rosi Fedelis Brian Putra Prakasa Kuswara, I Gusti Ngurah A Pradnya Martinus Maslim Novila, Ninna Samodra, Joseph Eric Suharno, Hisyam Rahmawan Sukma, Ina Desirra Wiadji , Sevia Berliana Wijaya, Nathanael Kevin Yulius Harjoseputro