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All Journal PILAR Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Magister Pendidikan IPA Kappa Journal Journal of Classroom Action Research Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Unram Journal of Community Service (UJCS) International Journal of Science and Society (IJSOC) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Journal of Community Service Buletin Ilmu Kebidanan dan Keperawatan Jurnal Keperawatan 'Aisyiyah SOCIRCLE : Journal Of Social Community Services Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Journal of Computation Science And Artificial Intelligence JIQSI : Jurnal Ilmu Al Qur'an dan Studi Islam INFOKOM
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Implementasi Algoritma Frequent Pattern-Growth Pola Pembelian Pada Koperasi Kartika Jati Manunggal Faisal Akbar; Qori Khoirun Nisa; Kosim
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Companies have realized how important it is to have a database to face business competition, namely a database system that is reliable and integrated with all parts of the company. One of the data that plays an important role in supporting product analysis, namely customer purchasing patterns. Customer purchasing patterns are important to be able to know the relationship between one product and another. If this pattern has been formed and known, it will greatly help business managers to maintain stocks of goods that are selling well so that they remain available and not empty which can result in the company losing sales opportunities. Transaction data becomes an object to be processed using data mining applications. The data mining method used is association rule mining to find patterns of interrelationships between items, while the algorithm used is the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm applies a tree data structure to determine purchase patterns. The pattern is determined by two parameters, namely support and confidence. The result is a support value obtained of 25% and a confidence value of 100% if the consumer has Pulpy orange 300 ml, the consumer will buy Hydro coco ori. In addition, the support value is 17% and the confidence value is 100% if consumers buy other drinks. The application of the FP-Growth algorithm can help determine what products must be available and assist in managing stock items
Implementasi Metode Content-Based Filtering Berbasis Android Untuk Memberikan Rekomendasi Menu Minuman kosim; Reza Prihandi
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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Abstract

Overchoice is a cognitive disorder in which people have difficulty making decisions when faced with many choices that make the problem in this study. This overchoice phenomenon often occurs in choosing drinks in cafes and restaurants. The purpose of this research is to create a Recommendation System (RS) to assist in choosing the drink you want to order. Making a non-personalized hospital at the Mubtada Kopi cafe uses the best rated approach and the content-based filtering method. The content-based filtering method tries to retrieve user preferences explicitly, that is asking the user to choose the preferences the user wants from the six content that has been made before then calculating the match between the user's preferences and the six contents in each item using the dot matrix formula. The results will be converted into a rating to match the best rated hospital approach which is made on a non-personalized basis. This rating indicates a match between the user's preferences and the items on the Mubtada Kopi menu list. The higher the rating, the better it matches the user's preferences. The order recommended by RS with the Content-based filtering method is rosella tea, chocolate, lemon tea, blossom tea, and spice tea
Co-Authors A. Wahab Jufri Afandi, Samsul Agusti, Adriyan Dwi Ahmad Busyairi, Ahmad Ahmad Harjono Al Jarwi, Muh. Arafatir Aliefman Hakim Alrizal, Fahmi Firdaus Aris Doyan Aszharri, Arief Biyanti, Alifia Cikha Devi, Via Monica Edellweisse Silvia Salsabella Ema Arum Rukmasari Fadlurrohman, Ibrahim Zauqi Faisal Akbar Fajriatus Sholehah Gina Putri Yustina Gunawan Gusgus Ghraha Ramdhanie Hafizhah, Dini Salma Haula Lodiosi Heri Hadi Saputra Heri Sulistiyono, Heri Hesti Platini Hikmawati husnul fuadi, husnul I Wayan Gunada Ibrahim Igen mayesha Igen Meyasha Ilman Kadori Indrayani Iqlima, Sheiliana Janati Jannatin Ardhuha JANNATIN ARDHUHA, JANNATIN Jaswadi Joni Rokhmat Kuswantoro M.A. Muazar Habibi Maulana, Indra Maulana Mertasari, Komang Ayu Miqro’ Fajari Lathifah Mochammad Hasymi Somaida Mohamad Alif Nurfatah Muh. Makhrus Muhajirah Muhammad Arif Muhammad Erwanto MUHAMMAD TAUFIK Muhammad Zuhdi Mulia, Finda Restu Muliadi, Irman Mursal, M. Hakim Mutiara Sari, Nadra Nadra Mutiara Sari3 Nainggolan, Juliet Christine Ni Nyoman Sri Putu Verawati Niseng, Zakee Nisrina, Nina Note, Hafsiahnor Pua Nurul Renita Febrisya Putri, Amanda Salma Qori Khoirun Nisa Qothrunnada, Qothrunnada Ramadhani, Annisa Putri Reza Prihandi Rezkiyanni, Annisa Rohkmat, Joni Saputri, Baiq Andriani Satutik Rahayu Susi Widyastuti Susilawati Sustyo, Dimas Ariezky Sutrio Syahrial Ayub, Syahrial Teti Zubaidah Virgiyanti WAHYUDI Widia Hastuti Zainuddin