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Purpose: The purpose of this study was to determine the level and the effect of digital engagement and gamification on work engagement of employees who work in Jakarta and Tangerang. Research methodology: This research used descriptive, comparative and associative methods. It used primary data through the questionnaire distribution with 401 respondents of employees who work in Jakarta and Tangerang. This study used multiple regression techniques as the data analysis technique. Results: The results of the study indicate that digital engagement has no influence on work engagement, but gamification influences work engagement. Limitations: This research only assessed digital engagement, gamification and work engagement variables, and only employees who work in Jakarta and Tangerang, and there was limited clear literacy of gamification and digital engagement. Contribution: This study shows the level of work engagement, digital engagement and gamification and how digital engagement and gamification affect work engagement. Employers can use this research as consideration to improve their employees work engagement by implementing the concept of gamification and noticing their employee’s level of digital engagement. Keywords: Digital engagement, Gamification, Work engagement

In rock magnetism, Vibrating-Sample Magnetometer (VSM) data displays magnetic moment in specific magnetic field applied in descending and ascending magnitude, which results in a pattern called hysteresis loop. This loop characterizes different magnetic materials depending on its shape. In recent years, the usage of computer software to analyze hysteresis loop has become necessary due to its precision. Easily executable, intuitive, and user-friendly open-source programs for analyzing VSM data are still not widely available despite their necessary utilization. HYSGUITS was designed with this issue in mind to further improve the development of tools in this field. HYSGUITS is a Graphic User Interface (GUI) to analyze the hysteresis loop of VSM data. MATLAB is a suitable base for producing this GUI compared to other programming language due to its sophisticated features and clean data visualization. This software is able to visualize hysteresis loop in different ways, mainly through the difference of ascending with descending magnetization value and its 1st derivative. The GUI displays the graph as an interactive plot window which provides detailed observation on each data points, supported by features such as interpolation and smoothing. This article introduces of the functionalities of HYSGUITS and demonstrates its utilization with example use case.

Thermomagnetic analysis is performed by bringing subject materials into its cooled and heated state, followed by analyzing the magnetic moment change. Performing these would result in obtaining the Curie Temperature of the materials, which is essential in estimating magnetic minerals contained in material samples. PyTherNal (Python Thermomagnetic Analyzer) is a thermomagnetic analysis tool in Python environment meant to assist in analyzing thermomagnetic data. The advantages of Python in its functionality and flexibility of being used in any operating system (OS) became the main reason for the program to be written in Python. PyTherNal is designed to assist in estimating Curie temperature of materials through thermomagnetic method, by locating the maximum curvature of the highest value of second (2nd) derivative of both cooling and heating data. To facilitate these, PyTherNal generates three figures, which are the curves for the thermomagnetic data, its 1st derivative, and its 2nd derivative. An advantage of the program is that it performs smoothing to increase the accuracy in estimating the Curie temperature as doing so would significantly minimize the variability of the derivative curve. Since the program is written in Python, it is open-source and therefore free to use. It is also capable of cross-platforming.