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All Journal Information Technology and Telematics Dinamik Elkom: Jurnal Elektronika dan Komputer Jurnal Pekommas CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Jurnal Inspiration SemanTIK : Teknik Informasi Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas IKRA-ITH ABDIMAS JURTEKSI Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Tekno Kompak Progresif: Jurnal Ilmiah Komputer Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Ilmu Multidisplin Eduvest - Journal of Universal Studies Jurnal Pengabdian Sosial Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Arief Jananto
Universitas Stikubank
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Other

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Journal : Elkom: Jurnal Elektronika dan Komputer

 1 
INDONESIA Pola Asosiasi Untuk Rekomendasi Penataan Display Barang Menggunakan Algoritma Apriori dan FP-Growth (Study Kasus Gamefantasia Ada Swalayan Pati) BEKRI MURDIANTO; Arief Jananto
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.999

Abstract

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.
INDONESIA Pola Asosiasi Untuk Rekomendasi Penataan Display Barang Menggunakan Algoritma Apriori dan FP-Growth (Study Kasus Gamefantasia Ada Swalayan Pati) BEKRI MURDIANTO; Arief Jananto
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.999

Abstract

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.
Pengembangan Fitur Chat Pada Website PT. Danatrans Service Logistics R. Mochammad Armand Giri Seno; arief jananto
Elkom : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1720

Abstract

PT. Danatrans Service Logistics has website-based information media, but the website only displays the services offered and if a customer wants to ask, they have to retype the PT email address. Danatrans Service Logistics will of course take quite a long time, so it will reduce the quality of service provided to customers via the website. This research has succeeded in developing the PT website. Danatrans Service Logistics with chat facilities between customers and the Billing, Customer Service, Document Requirements, Delivery, Emergency Services, Security & Insurance and Shipping Costs sections at PT. Danatrans Service Logistics so that it can improve the quality of customer service. Another feature in this research is chat statistics and chat grouping between admin and PT customers. Danatrans Service Logistics
INDONESIA Pola Asosiasi Untuk Rekomendasi Penataan Display Barang Menggunakan Algoritma Apriori dan FP-Growth (Study Kasus Gamefantasia Ada Swalayan Pati) MURDIANTO, BEKRI; Arief Jananto
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.999

Abstract

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.
Co-Authors - Yanuardi . Narwati Achmad Naufal Luqmanul Khakim ACHWAL, SAEFUL Afandi Afandi Afianti, Dwi Sekar Agus Prasetyo Utomo Alexander Radityo Wibowo Anjani, Nabila Antania Putri BEKRI MURDIANTO Budi Hartono Dalila, Nisa Aulia Desy Exasanti Dewi Handayani Untari Ningsih Dhimas Hernandi Diartonor, Dwi Agus Dwi Agus Diartono Eddy Nurraharjo Edy Winarno Ekasetya, Vada Annisa Eko Nur Wahyudi ellang putro priambodo Eri Zuliarso Fadhila Putri Utami Fadhilah, Annisa Nur Fatkhul Huda, Alfian Hadinata, Nova Oktaviani Hafizhannia Rahma Hardya Hekmatiar, Altida Heribertus Yuliaton Herny Februariyanti Herny Februariyanti Herny Februariyanti Huda, Alfian Fatkhul Ifa Musdalifah Jeffri Alfa Razaq Kharisma, Ema Titania Laila, Tsurayya Nur Lailil ‘ Izzah Maulidiya, Hita Mohammad Dwi Arianto Muji Sukur Muji Syukur MURDIANTO, BEKRI Nabila, Alicia Ayu Nanda Ayu Rahmalinda Novita Mariana Putra, Yuan Anggara R. Mochammad Armand Giri Seno Raka W, Arnandia Rara Sri Artati Redjeki Rieke Reza Andarista Rizky Robby Setiawan S.Pd. M Kes I Ketut Sudiana . Saufika Sukmawati Setiyorini, Akhdiyan Setyawan Wibisono Solechati, Riska Grahastika Sri Eniyati Sugiyamta Sugiyamta Sulastri Sulastri Sulastri Sunardi . Sunardi Sunardi Taufiq Dwi Cahyono Teguh Khristianto Widodo, Rizky Andaru Wijaya, Arnandia Raka Wijoyo, Agung Suko Wiwien Hadikurniawati Yahya, Noerzam Yohanes Suhari Yunus Anis, Yunus