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All Journal Telematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Creative Information Technology Journal INTECOMS: Journal of Information Technology and Computer Science METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JURIKOM (Jurnal Riset Komputer) Journal on Education CCIT (Creative Communication and Innovative Technology) Journal Jurnal Tecnoscienza JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Infotek : Jurnal Informatika dan Teknologi Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan EXPLORE Indonesian Journal Computer Science (ijcs) Explore Jurnal Pengabdian Masyarakat (JURDIMAS)
Anggit Dwi Hartanto
Universitas AMIKOM Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : CCIT (Creative Communication and Innovative Technology) Journal

 1 
Apriori Algorthm Implementation to Determine Product Sales Priority Anggit Dwi Hartanto; Bobby Candera Lim; Deas Pradana
CCIT Journal Vol 13 No 1 (2020): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.11 KB)

Abstract

Nowadays there are so many stores that stand where every day you have a transaction on selling goods. Sometimes transactions per day are not small, these many transactions can lead to a buildup of data. However, it is rare for business owners to realize that the data can be processed into various kinds of information which can later be used for the interests of companies and stores. The solution to this can be to use an algorithm that is often used today, namely the Apriori algorithm. The Priori algorithm is one of the data mining techniques used to find high associative patterns between products. The calculation is done by determining the support and confidence between the itemset set in the transaction or also called the association rule function. The test results with a priori algorithm get results in the form of an association rule, one of which is the connection of Oily Skin Clean Wash items -> Eshter Acne Toner with the highest support value of 1.0000. So it is expected that this can be used as a reference in efficient product sales going forward
Implementation Of The C4.5 Algorithm For Recruitment Of E-Sports Team Members Akhmad Efendi; Anggit Dwi Hartanto
CCIT (Creative Communication and Innovative Technology) Journal Vol 13 No 2 (2020): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.885 KB) | DOI: 10.33050/ccit.v13i2.1097

Abstract

Fenomena E-Sport in an increasingly fast-paced world, creating a global culture ranging from international E-Sport tournaments to the birth of management that houses the competing E-Sport teams to be the best. E-Sport teams need players or gamers who have high skills, but it is not only the skill level of a player that determines the success of an E-Sport team in a tournament, there are other factors that determine the success of an E-Sport team, where factors this can be used in determining the decision to recruit players or gamers to become members of the E-Sport team. Decision support systems (DSS) is one of the systems that can be relied upon as a method to assist an organization or E-sports team management in assisting the decision-making process. One method that can be used in DSS is to use the Decision Tree C4.5 Algorithm. The solution technique is to use entropy and information gain for the expansion of decision trees. C4.5 algorithm is a decision tree-based method. In the C4.5 algorithm, the selection of attributes is done using Gain, Ratio, by finding the Entropy value. C4.5 algorithm can provide effective results in supporting a decision
Co-Authors Ahmad Fauzi Akhmad Efendi Al Abdul Rohim Alva Hendi Muhammad Alvina Felicia Watratan Anik Sri Widowati Biva Candra Lutfi Adiatma Bobby Candera Lim Candra Adipradana Deas Pradana Edy Hardianto Rifeni Ema Utami Eny Nurnilawati Fajar Surya Putro Fakhrur Wiradhika Halim Bayuaji Sumarna Hanafi Hanafi Hartatik Hery Priandoko Idris Idris Ivan Rifky Hendrawan Jangkung Tri Nygroho Kusrini Kusrini Muhammad Ilham Fadila Muhammad Ridlo Arifandi Mulia Sulistiyono Omar Muhammad Altoumi Alsyaibani Pamela Hapsari Putri Rumini Rumini Taufiq Nashrullah Triana Triana Wahyu Hidayat wahyuni, wenti ayu Winarnie