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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Global Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Dinamika Informatika (JDI) Proceeding of International Conference Health, Science And Technology (ICOHETECH) PIKAT
Arif Wicaksono Septyanto
Institut Teknologi Kalimantan,Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Other

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Journal : Jurnal Informatika Global

 1 
Fuzzy Topsis System Untuk Pemilihan Karyawan Terbaik Pada PT. Delta Dunia Textile Arif Wicaksono Septyanto; Nugroho Arif Sudibyo; Ardymulya Iswardani; Tiyan Ganang Wicaksono
Jurnal Informatika Global Vol 12, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v12i1.1545

Abstract

This research implements a fuzzy topsis based system for selecting the best employees at PT. Delta World Textil. One of the matters, especially in the management of Human Energy Resources (HR) is the selection of the best employees periodically, so that those who are elected will be given an award in the form of a bonus in order to motivate employees to improve their service and performance. The best and quality employees are the legacy of the industry that wants to make the industry grow rapidly. Several methods have been proposed for selecting the best employees. However, the method used is inaccurate because it only uses one method with few criteria. This study aims to select the best employees by looking at several criteria in the form of discipline, teamwork, attitudes, presence, skills, loyalty, tenure, and productivity for initial processing using fuzzy logic. Initial values are obtained in the form of membership function values which are used as input into the topsis method. The first stage of the topsis method is carried out in the normalized decision metric stage, the results of this stage are used to find a weighted normalized decision matrix according to the weight of the criteria for each criterion, the results of this stage are used to ensure positive ideal solving and negative perfect solutions after that the distance between the values is determined. each alternative with a positive perfect solution matrix and a negative perfect solution matrix. In the last session, the highest preference value was sought so that the best employees were obtained. The results show that the system established is very feasible in ensuring the best employees in performance evaluation. Keywords : Fuzzy Logic, Topsis, Best Employees, Decision Support System
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti) Robi Wariyanto Abdullah; Dwi Hartanti; Hanifah Permatasari; Arif Wicaksono Septyanto; Yuda Abi Bagaskara
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2060

Abstract

Toko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall.    Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matrix
Rancang Bangun Sistem Informasi Tracking Sales dengan Integrasi Kartu Radio Frequency Identification Mita Kharisma Permata Zion Putri; Rudi Susanto; Arif Wicaksono Septyanto
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2088

Abstract

CV. Multi Banyu Satwa is a distributor of livestock medicines and vitamins where the company sells its products to shops that sell animal needs, especially livestock. In marketing its products, this company uses a canvasing sales system where the salesperson sells for several days by directly bringing the product and will return when the goods brought have started to run out. So that there can be a risk of losing the product if the salesperson is not honest, besides that the company owner does not know the presence of the sales directly. In this regard, the purpose of this research is to build a sales canvasser tracking information system with the integration of Radio Frequency Identification (RFID) cards. The method used in building this information system uses waterfall and needs analysis using PIECES, while the system modeling design uses Unified Modeling Language (UML). This information system is web-based and there are 3 access rights, namely owner, admin, salesman. Based on the test results from testing the sales canvasser tracking information system with the integration of this RFID card using the black-box method, it can be seen that this information system can run well. Meanwhile, from the results of user testing using a questionnaire, the results showed a percentage score of 55% Agree and 45% Strongly Agree.Keywords : Information System, Tracking, Sales, RFID
Co-Authors Afu Ichsan Pradana Alif, Muhammad Ikhsan Ardymulya Iswardani Faulinda Ely Nastiti Hariyanto, Henokh Lugo Harsanto Hartanti, Dwi Henokh Lugo Hariyanto Maimunah Nur Nazahah, Mai Maulindar, Joni Mita Kharisma Permata Zion Putri Natasia, Sri Rahayu Nugroho Arif Sudibyo Pali, Romesal Panji, Ajianto Permatasari, Hanifah Ramadhan, Gilang Rahmattillah Retna Dewi Lestari Robi Wariyanto Abdullah Rohandi, Fahki Rudi Susanto Setiawan, Dicky Tiyan Ganang Wicaksono Tyan Ganang Wicaksono Wiranti, Yuyun Tri Yuda Abi Bagaskara