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Journal : Journal of Informatics and Information Security

Klasifikasi Algoritma K-Nearest Neigbhor Untuk Memprediksi Barang Pada PT Enesis Group Adi Muhajirin; Sastro Atmojo Sasosno; Truly Wangsalegawa
Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/g92qhz24

Abstract

The company's success in maintaining its business is inseparable from the company's role in managing inventory (inventory) of goods so that it can meet the demands of customers as much as possible. During this time at PT. Enesis Group for data collection in warehouses is still carried out by keeping a manual in the book, which causes the accumulation of documents and the risk of loss or damage to documents when the item data is needed to make a report to superiors and also as a performance evaluation aterial. Often there is a lack of goods / reject goods. Do not have a computerized system. In the case of this study, the K-Nearest Neighbor method can be applied to the prediction of goods going out at the warehouse of PT. Enesis Group because it can predict the goods out correctly so that there is no shortage or excess stock of goods in the warehouse. The results of the calculation of the prediction of goods going out with the KNN method with an optimal value of K (9) are for ordering goods with a shipping distance of more than 1000 km and the expiration of goods more than 1 year, as well as for ordering goods with a distance of less than 1000 km and the expiration of goods is less from 1 year, the item is eligible to send.
Perancangan ChatBot Pendaftaran Siswa Dengan Telegram BOT Design a Chatbot for Student Registration Using Telegram BOT Harry Priambodo; Adi Muhajirin
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2d0gqs45

Abstract

The increasing number of Covid-19 victims is making us more and more aware of the importance of health protocols from wearing masks, maintaining distance, always washing hands, avoiding crowds, etc. It was recorded that on May 19, 2022, 6 million Indonesians were confirmed positive for Covid-19, however in the new academic year SDN Sriamur 02 still applies on-site registration, and because of the increasing level of prospective students from year to year, the school admin officers are overwhelmed, from the results of initial observations. the guardians of SDN Sriamur 02, the majority of the application services used are chat services, besides being able to be used anywhere, they are also more efficient in using internet quota, therefore the author has an idea to create a bot that runs on the Telegram Messenger application that can help in the registration of prospective students, where the development model that will be used by the author is Extreme Programming which is a software development model that tries to simplify the various stages in the development process so that it becomes more adaptive and flexible, so that the Extreme Programming (XP) method puts forward adevelopment process that is more responsive to needs. The research carried out resulted in a system that was ready to be used anytime anywhere for 24 hours and succeeded in carrying out one of the protocols in the pandemic era, namely social distancing, and a dataset of prospective students stored in the Googlesheet database.