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All Journal TEKNIK INFORMATIKA Jurnal Teknik Mesin Prosiding Seminar Nasional Teknoka Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Teknosains : Jurnal Sains,Teknologi dan Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pengabdian Masyarakat Asia JTTM: Jurnal Terapan Teknik Mesin Jurnal Teknik Mesin Mechanical Xplore METIKS: Jurnal Teknik Mesin, Elektro, Informatika, Kelautan & Sains Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia AutoMech : Jurnal Teknik Mesin ARembeN Clean Energy and Smart Technology Metalik: Jurnal Manufaktur, Energi, Material Teknik Jurnal Kemuhammadiyahan dan Integrasi Ilmu
Riyan Ariyansah
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : TEKNIK INFORMATIKA

 1 
Utilization of the FP-Growth Algorithm on MSME Transaction Data:Recommendations for Small Gifts from The Padang Region Firman Noor Hasan; Riyan Ariyansah
JURNAL TEKNIK INFORMATIKA Vol 17, No 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.37966

Abstract

The existence of adequate transaction data turns out to have a similar sales transaction pattern for MSMEs, so it would be a shame if it were left like that. Moreover, this data can be used to increase efficiency in MSMEs in the culinary sector, one of which is as a recommendation for small gifts. The study uses the Association Rules technique, whereas fp-growth is used to obtain a combination of elements. The goal is to facilitate MSMEs' ability to suggest small gifts to clients. The fp-growth algorithm calculation was implemented to process 2043 data originating from transaction data in MSMEs, with the specified minimum support value being 15%, while the minimum confidence value determined was 55%. The results of the trial obtained the two best rules, namely, "If a customer buys a list of small gifts from Balado Sanjai Chips, then the customer will buy Jangek Crackers" and "If a customer buys Jangek Crackers, then the customer will buy Sanjai Balado Chips".
Utilization of the FP-Growth Algorithm on MSME Transaction Data:Recommendations for Small Gifts from The Padang Region Hasan, Firman Noor; Ariyansah, Riyan
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.37966

Abstract

The existence of adequate transaction data turns out to have a similar sales transaction pattern for MSMEs, so it would be a shame if it were left like that. Moreover, this data can be used to increase efficiency in MSMEs in the culinary sector, one of which is as a recommendation for small gifts. The study uses the Association Rules technique, whereas fp-growth is used to obtain a combination of elements. The goal is to facilitate MSMEs' ability to suggest small gifts to clients. The fp-growth algorithm calculation was implemented to process 2043 data originating from transaction data in MSMEs, with the specified minimum support value being 15%, while the minimum confidence value determined was 55%. The results of the trial obtained the two best rules, namely, "If a customer buys a list of small gifts from Balado Sanjai Chips, then the customer will buy Jangek Crackers" and "If a customer buys Jangek Crackers, then the customer will buy Sanjai Balado Chips".
Co-Authors Abdullah Darussalam Ade Davy Wiranata Ade Sunardi Ade Sunardi Ade Sunardi Ade Sunardi Adhes Gamayel Aep Surahto Agung Hermawan Agung pangestu Agus Fikri Agus Fikri Ahamad Ahdani Akhmad Rizal Dzikrillah Alfara, Hafiz Asep Supriadi Ashura, Amar Avorizano, Arry Bintoro, Sefrian Rizki Dan Mugisidi Delvis Agusman Delvis Agusman Deni Dzikrillah, Achmad Rizal Fahmi Ahmad Yulianto Faris Setio Wibowo Fauzi, Herman Ferdiansyah, Zulkarnain Fikri, Agus Firman Noor Hasan Fitria Efendy Giovanika, Muhamad Ikbal Goodman Octavianus Hanggoro, Dhimar Setyawan Suryo Hendra, Rizky Putratama Hermanto Ibrahim, Dimas Nurcholish Irwansyah Irwansyah Istianto Budhi Rahardja Kasum Leo Fendi Sadewo Lutfan Zulwaqar M. Shofriyan Efendi Maruli, Alkha Oceano Muchammad Sholeh Muhamad Aris Muhamad Fadilah Rafli Muhammad Hambali Muhammad Rayhan Muhammad Zahir Bahasyim Mujirudin Mujirudin Mujirudin, Mujirudin Murtalim Murtalim Nofendri, Yos Noor Hasan, Firman Nugraha, Aldi Nugraha, Rayhan Ihsan Nugraha, Reza Alfi Nur rohman Nurhardiansyah, Moch Octavianus, Goodman Oktarina Heriyani Oktarina Heriyani Oskar Mahardika Prasetyo, Kurniawan Eko Pratama, Reynaldi Ramadhani Pungkas Prayitno Purbayani, Aditya Pradana Rahman, An Naas Rahmatullah, Ahmad Faiz Rahmi Imanda Ramzah, Harry Reza Ferizal Akbar Rifky Rifky Rifky, Rifky Rizki Dwi Ardika Rizki, Dicky Septia Rojo Agung Rizqi Rosalina Rosalina Rosalina Saca Andika Saefulloh, Mochamad Salman Alfarisi Saputra, Alfian Ady Saputro, Andry Wahyu Saryanto, Hendi Sefnath J E Sarwuna Sinduningrum, Estu Sinta Restuasih Sistani, Muhammad Ghiffar Sunaryo Sutoyo Sutoyo Tjetjep Margono Ujiburrohman Ujiburrohman U Werdhana, Wisnu Muflhi Wijaya, Victor Indra Wulansari, Aprilya Siti Yongkimandalan, Nicky Yulia Widhianti