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All Journal Journal on Education KOMPUTA : Jurnal Ilmiah Komputer dan Informatika International Journal of Economics Development Research (IJEDR) Management Studies and Entrepreneurship Journal (MSEJ) EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Jurnal Tunas KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sains Teknologi dan Sistem Informasi Jurnal Ekonomi BEES: Bulletin of Electrical and Electronics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Indonesia Sosial Teknologi Jurnal Manajemen Riset Inovasi
Nasution, Rizki Alfadillah
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
Arts Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : JOMLAI: Journal of Machine Learning and Artificial Intelligence

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Application of the FP-Growth Algorithm in Analyzing Patterns and Layout of Foodstuffs Ayu Padillah; Heru Satria Tambunan; Rizki Alfadillah Nasution
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 1 No. 4 (2022): December
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.592 KB) | DOI: 10.55123/jomlai.v1i4.1673

Abstract

The purpose of this study was to determine the pattern and layout of the appropriate goods in Gono Stores using the FP-Growth Algorithm. Gono Store is a store that is engaged in the sale of food ingredients located in Nagori Dolok Kataran, Kec. Dolok Batu Nanggar. The arrangement of the layout of the goods greatly affects the volume of sales. However, in setting the layout at the Gono Store, there are some problems, namely the lack of knowledge of the shop owner in setting the layout . The FP-Growth algorithm is one of the alternative data mining algorithms that can be used to determine groups of data that often appear (Frequent item sets) in a set of data.The source of the research data used is by conducting observations and interviews at Gono Stores. From the overall results of the sales data 10 rules are formed with the minimum value limit of Support = 0.3and Confidence = 0,8. Its hoped that the result of this study will provide benefits in the form of information that can help shop owners in analyzing the pattern and layout of foodstuffs.
Decision Support System in Determining the Level of Success of Teaching Teachers Using the AHP Method Abdillah, Mhd Khoiri; Hartama, Dedy; Nasution, Rizki Alfadillah
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 2 No. 2 (2023): June
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v2i2.2399

Abstract

This study aims to implement a Decision Support System (SPK) that uses the Analytic Hierarchy Process (AHP) method in assessing and determining the level of success of teachers teaching at SMA Taman Siswa, Bah Jambi Branch. This study uses five assessment criteria, namely the number of attendance, lesson plans, teaching period, learning media, and discipline, as a basis for evaluating teacher performance. In this study, the AHP method was used to calculate the relative weight of each criterion and sub-criteria involved in assessing teacher performance. The data collected from various teachers was evaluated using the AHP method, and the results provide an overview of the level of success of each teacher in carrying out the teaching and learning process. The results showed that among the many existing teachers, Siti Palastri managed to score 0.81002, indicating good performance in the teaching and learning process. The application of this system is expected to assist schools in making decisions regarding teacher performance evaluation in a more objective and structured manner. In addition, this system can provide guidance and recommendations that are more effective in identifying areas for improvement by teachers who have not achieved the expected level of success. Thus, improving the quality of teaching can be achieved through corrective measures that are right on target.
Co-Authors Abdi Rahim Damanik Abdillah, Mhd Khoiri Agus Perdana Windarto Anizira Anizira Arief Yanto Rukmana Ayu Padillah Cakranegara, Pandu Adi Chevy Herli Sumerli Dedi Suhendro Dolli Sari Sinaga Dwita Elisa Sinaga Ega Widya Sari Elvira Iskandar Ferdinandus Sampe Friska Selvina Agoestina Hartama, Dedy Heru Satria Tambunan Heru Satria Tambunan Ilham Syahputra Saragih Irfan Sudahri Damanik Muhammad Aliyul Amri Muhammad Yusuf muji Rahayu Okprana, Harly Panjaitan, Santi Rohdearni Riska Fii Ahsani Rizky Khairunnisa Sormin Solikhun Solikhun Suhendro, Dedi Suprianto, Ghalib Wanto, Anjar Zarkasi Zarkasi Zulia Almaida Siregar