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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) INFORMAL: Informatics Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Informatika Universitas Pamulang Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Mantik Journal of Robotics and Control (JRC) JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) INFOKUM BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Journal of Social Work and Empowerment Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
I Komang Arya Ganda Wiguna
Institut Bisnis Dan Teknologi Indonesia
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Journal : Jurnal Mantik

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FP-Growth Implementation in Frequent Itemset Mining for Consumer Shopping Pattern Analysis Application I Made Dwi Putra Asana; I Komang Arya Ganda Wiguna; Ketut Jaya Atmaja; I Putu Anjas Sanjaya
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1075.pp2063-2070

Abstract

Most retail companies have implemented computer-based information systems for recording sales transaction data. In the implementation of information systems, the data collected in the database is processed limited to making reports such as sales reports and inventory reports. Database generated from computer-based information systems can be further processed to obtain more valuable information. One strategy for using sales transaction data is to analyze consumer spending patterns. Consumer spending patterns can be in the form of associations of items that are often purchased simultaneously. The association between goods can be determined using the frequent itemset search technique. The Fp-growth algorithm is an algorithm that can be used to determine frequent itemsets in a data set. This article describes the results of implementing the FP-Growth algorithm in the consumer shopping pattern analysis application. The resulting shopping pattern is in the form of goods that are often purchased simultaneously by consumers. From the results of the application of the fp-growth algorithm, it was found that the minimum value of support had an effect, namely the smaller the input value of support, the more pairs of items were obtained. The application of the FP-Growth algorithm in determining frequent itemsets in association data mining can find customer spending habits in buying goods simultaneously.
PIECES ANALYSIS IN THE INFLUENCE OF THE DESIGNING DIGITAL SIGNATURE CERTIFICATE SYSTEM Ida Bagus Gede Sarasvananda; I Putu Eka Giri Gunawan; I Komang Arya Ganda Wiguna; Made Suci Ariantini; I Gede Iwan Sudipa
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Correspondence is an inseparable part of an agency, both private and government. The administration of correspondence has often utilized information system technology in assisting business processes carried out by parties within the organization itself. For example, the Institute for Innovation and Creativity Development (LPIK) of the Indonesian Institute of Business and Technology (INSTIKI) has implemented a correspondence information system, but there is a weakness in the system, namely that there is no digital signature process so that it is not optimal in facilitating the management of correspondence. This study aims to analyze the business processes of the system that is already running using the PIECES (Performance, Information, Economy, Control, Efficiency, Service) method. The benefits of the research are obtained from the analysis of the problems based on the previously running system seen from the use case diagram design, activity diagrams and system interfaces. This results in an analysis of the proposed system to complete system features and system functionality based on the results of the analysis of 6 aspects of PIECES which can assist LPIK institutions in facilitating the mailing business process.
Co-Authors A A Gede Bagus Ariana Achmad Selamat Fauzi Agus Ari Iswara, Agus Ari Ani Nida’ia Mustafida Aristamy, I Gusti Ayu Agung Mas Asana, I Made Dwi Putra Atmaja, Ketut Jaya Baehaqi Bagus Kusuma Wijaya Desak Made Dwi Utami Putra Desak Putu Diah Kumala Dewi Eddy Hartono Gede Wirya Wardhana Gustiadi Gustiadi I Gede Iwan Sudipa I Gusti Agung Indrawan I Gusti Made Ngurah Desnanjaya I Kadek Budi Sandika I Made Aditya Nugraha I Made Avendias Mahawan I Made Dwi Putra Asana I Made Urip Sumaharja I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Anjas Sanjaya I Putu Eka Giri Gunawan Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Ketut Ngurah Semadi Ketut Ngurah Semadi Komang Kurniawan Widiartha Made Dona Wahyu Aristana Made Suci Ariantini Meinarni, Ni Putu Suci Ni Kadek Ariasih Ni Luh Putu Agetania NI LUH PUTU MERY MARLINDA Putu Praba Santika PUTU SUGIARTAWAN Putu Wirayudi Aditama Rikcy Sanusi Rizkita Ayu Mutiarani Sastaparamitha, Ni Nyoman Ayu J. Styawati, Styawati Thalib, Emmy Febriani Wayan Gede Suka Parwita Winatha, Komang Redy