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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sains Informatika Terapan (JSIT) Jurnal Pijar : Studi Manajemen dan Bisnis Jurnal Manajemen Maranatha
Fernando, Felix
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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REKOMENDASI TERBAIK UNTUK PERHITUNGAN GAJI KARYAWAN PADA UKM XYZ: ADHERED ATAU OVERLAPPING? Rizki Alrafi, Muhammad Daffa; Haq, Anaksya; Fernando, Felix; Syawalia Zahra, Fathia; Kartika, Lindawati; Prabu Arya Aviantara, Rayvaldo
Jurnal Pijar Vol 2 No 03 (2024): Jurnal Pijar : Studi Manajemen dan Bisnis
Publisher : PT Naureen Digital Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65096/pmb.v2i03.1326

Abstract

The role of Small Medium Enterprise (SMEs) is very large for Indonesia's growth. The contribution of SMEs to GDP also reached 60.5 percent and to labor absorption was 96.9 percent of national labor absorption. However, the issue of ideal salaries is still a problem for SMEs in Indonesia, especially due to the influence of certain conditions, both environmental and internal. One of the SMEs that is facing problems with the compensation system is SME XYZ. The aim of this research is to analyze and determine compensation that is in accordance with ideal job grading in UKM XYZ. Data collection in this research was carried out through interviews with the owners of UKM XYZ in February 2024. The data processing methods used in this research were the adhered or overlapping and overlapping methods. The results of this research show that: (1) The compensation system in SME XYZ is still not fair and ideal based on the spread when compared to the minimum wage; (2) An appropriate and effective method for improving salaries for UKM XYZ is to use overlapping calculations.
Implementation of K-Means, Hierarchical, and BIRCH Clustering Algorithms to Determine Marketing Targets for Vape Sales in Indonesia Laurenso, Justin; Jiustian, Danny; Fernando, Felix; Suhandi, Vartin; Rochadiani, Theresia Herlina
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.4871

Abstract

In today's era, smoking is a common thing in everyday life. Along with the development of the times, an innovation emerged, namely the electric cigarette or vape. Electric cigarettes or vapes use electricity to produce vapor. The e-cigarette business is very promising in today's business world due to the consistent increase in market demand. However, determining the target buyer is one of the things that is quite important in determining the success of a business. In this analysis, the background of each region in Indonesia has different diversity; therefore, observation of data is needed to find out which regions in Indonesia have the potential to increase marketing based on profits (margins) to support the target market analysis process so that companies do not suffer losses and increase business success. In this study, the analysis will be carried out using vape quantity, margin, and purchasing power data in each region, which is processed using 3 algorithms: K-Means, Hierarchical, and BIRCH. The results of the clustering of the three algorithms produce two clusters. The K-means, Hierarchical, and BIRCH algorithms produce the same clusters: a potential cluster consisting of 18 cities and a non-potential cluster consisting of 45 cities. To see the performance of the model results, an evaluation was carried out using the Silhouette score, Davies Bouldin, Calinski Harabasz, and Dunn index, which obtained results of 0.765201, 0.376322, 315.949434, and 0.013554. From these results, it can be concluded that the clustering results are not too good and not too bad because the greater the Silhouette Score, Calinski Harabasz, and Dunn Index value, the better the clustering results while for Davies Bouldin the smaller the value means the better the clustering results.
Optimizing The Selection Of Best Employees Using The Saw Method Wijaya, Jonathan; Eka Lia Febrianti; Winston, Frenky; Netrysa, Iza; Fernando, Felix
Jurnal Sains Informatika Terapan Vol. 3 No. 3 (2024): Jurnal Sains Informatika Terapan (Oktober, 2024)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v3i3.425

Abstract

In the competitive culinary industry, particularly within the café sector, maintaining high service quality and operational efficiency is essential for business sustainability. Employee performance significantly influences both productivity and customer satisfaction, making an effective performance assessment system vital for fostering motivation and consistency among staff. This study implements a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to evaluate employees across key criteria, such as attendance, daily performance, attitude, and teamwork. By applying the SAW method, the DSS enables a straightforward, objective, and data-driven approach to identifying top-performing employees, thus assisting management in recognizing outstanding contributions and boosting overall team motivation. The goal of this research is to ensure that the system can be easily implemented in the café environment and has a substantial impact on improving both employee performance and morale, contributing to enhanced service quality and operational success.
Peranan sensory marketing sebagai prediktor revisit intention melalui customer emotions di Railway Coffee Fernando, Felix; Mulyono, Fransisca
Jurnal Manajemen Maranatha Vol 22 No 2 (2023): Jurnal Manajemen Maranatha
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jmm.v22i2.6422

Abstract

Sensory marketing is a marketing strategy that uses sensory experiences to attract potential customers. The purpose of this study was to determine the effect of sensory marketing on revisit intention through customer emotions. The method is explanatory-causal with a quantitative approach using SEM (Structural Equation Modeling). The number of respondents in this study amounted to 233 people who had come to Railway Coffee at least once. Data was collected using a questionnaire via online survey and using non-probability sampling. This study concludes that sensory marketing has an effect on customer emotions, customer emotions have an effect on revisit intention, sensory marketing has an effect on revisit intention through customer emotions, whereas sensory marketing has no effect on revisit intention.
Co-Authors Febrianti, Eka Lia Fransisca Mulyono Haq, Anaksya Jiustian, Danny Laurenso, Justin Lindawati Kartika Netrysa, Iza Prabu Arya Aviantara, Rayvaldo Rizki Alrafi, Muhammad Daffa Rochadiani, Theresia Herlina Suhandi, Vartin Syawalia Zahra, Fathia Wijaya, Jonathan Winston, Frenky