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All Journal JIP (Jurnal Informatika Polinema)
Susilo Yuda Irawan, Agung
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science

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Pemanfaatan Teknologi NodeMCU ESP8266 dan RFID Sebagai Perekapan Honor Guru Heri Wiranto; Solehudin, Arip; Susilo Yuda Irawan, Agung
Jurnal Informatika Polinema Vol 7 No 1 (2020): Vol 7 No 1 (2020)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i1.404

Abstract

Internet of Think or so-called IoT is a technology used in all fields, one of which is in the field of school administration. The administration of SMK Sunan Gunung Jati works to manage various data such as the recording of teacher salaries and many others. With a lot of work done by the administration, the researchers utilize nodemcu esp8266 and RFID technology as a recording of teacher salaries. The methodology used is the Software Development Life Circle (SDLC) method with the waterfall model, this is in accordance with the short stages of system use. The results of this study in the form of the creation of an ID card sensor tool product that is integrated with the teacher honorarium recording application to help administrative staff manage teacher honor data and the results of testing this sensor device with 5 ID cards also indicate that the tool is able to read ID cards with a distance of 1- 2 cm.
Market Basket Analysis Menggunakan Algoritma FP-Growth Dalam Menentukan Cross-Selling Zia Ghassani, Fildzah; Jamaludin, Asep; Susilo Yuda Irawan, Agung
Jurnal Informatika Polinema Vol 7 No 4 (2021): Vol 7 No 4 (2021)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v7i4.508

Abstract

KAOCHEM Sinergi Mandiri Cooperative is a cooperative that provides various kinds of basic needs such as basic foodstuffs that can meet the needs of its members. The cooperative transaction data is only stored as a report. Association rules are a method in data mining that functions to identify items that have a value that is likely to appear simultaneously with other items. One implementation of the association method is Market Basket Analysis. The data used are transaction data for November 2019. Data mining is one of the processes or stages of the KDD method. The data mining process is carried out using the FP-Growth algorithm, which is one of the algorithms for calculating the sets that often appear from data. Researchers analyzed transaction data using the Rapid Miner Studio tools. In the data mining process using FP-Growth the researcher determines a minimum support value of 3% and a minimum confidence of 50%. The association process using these values ​​produces 3 strong rules, namely if ades 350 ml, then fried / lontong with a support value of 0.030 and confidence 0.556 and if fried st, then fried / lontong with a support value of 0.048 and confidence 0.639, and if nasi uduk / bacang , then fried / rice cake with a support value of 0.031 and confidence 0.824. The results of the association rules can be applied using one of the marketing techniques, namely cross-selling to increase the sales of the cooperative.
Co-Authors Arip Solehudin Heri Wiranto Jamaludin, Asep Zia Ghassani, Fildzah