Claim Missing Document
Check
Articles

Found 7 Documents
Search

Analisis Pengaruh Paket Remunerasi dan Stres Kerja terhadap Turnover Intention dengan Kepuasan Kerja sebagai Variabel Mediasi pada Karyawan I Nyoman Tri Sutagana; Rihfenti Ernayani; Festus Evly R.I. Liow; Cut Susan Octiva; Rianti Setyawasih
BUDGETING : Journal of Business, Management and Accounting Vol 4 No 1 (2022): BUDGETING : Journal of Business, Management and Accounting
Publisher : Institut Penelitian Matematika Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/budgeting.v4i1.4687

Abstract

This study explains the effect of work stress and remuneration packages on turnover intention, using job satisfaction as a mediator. The object of research is one of the companies engaged in the palm oil sector in Jakarta, PT Kruing Lestari Jaya. This study discusses the theory of the four research variables, namely work stress, remuneration packages, turnover intention, and job satisfaction. This study used quantitative methods through the distribution of questionnaires via Google Form to 48 respondents, which were then processed using the SPSS version 25.0 program using saturated sampling techniques for sampling data. The results showed that work stress has a significant effect on turnover intentions. Remuneration packages have a significant effect on turnover intention. Job satisfaction does not mediate work stress and turnover intention. Job satisfaction does not act as a buffer between the remuneration package and the turnover intention. From the results of the study, it can be concluded that direct influence has a greater value than indirect influence. The job satisfaction does not mediate the effect of the remuneration package on turnover intention at PT Kruing Lestari Jaya. Keywords : Job Satisfaction, Remuneration Package, Work Stress and Turnover Intention
Improving Student Text Writing Ability by Utilizing the Use of Augmented Reality Feature Fitria Meisarah; Cut Susan Octiva; Purwo Agus Sucipto; Ika Rahayu Satyaninrum; Asri Ady Bakri
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.213

Abstract

This study used a quantitative methodology. Experimental research is used, with a post-test-only control design as the study design. There were 100 students in the study's population, and students from classes A (the experimental type) and C (the control class) made up the sample. This study uses assemblers as a learning medium applied to those classes. Two variables are used in this study: the independent variable (the augmented reality feature in the assembler application) and the dependent variable (the ability to write descriptive texts for class students). Data collection techniques used are interview techniques, documentation, and observation. The application used to process research data is SPSS. This study's results show an influence between using augmented reality features and students' writing abilities. This is evident from the average value of the experimental class and control class.
Measurement Analysis of the Level of E-Commerce Adoption Readiness in SMEs Using Technology Readiness Index Method Sulistyowati; Haniwijaya Pahlawansah; Chevy Herli Sumerli A; Cut Susan Octiva; Humaidah Muafiqie
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i2.263

Abstract

The purpose of this study is to determine the extent of readiness for adoption and what factors influence readiness for e-commerce adoption. This study uses the Technology Readiness Index (TRI) model and the Information Technology Adoption Model by adding the variables of customer readiness, competitive pressure, and IT adoption. The population in this study is SMEs. The sample used from this population is 150 respondents with the purposive sampling technique. This study used quantitative methods with analysis techniques using PLS-SEM and data analysis using SmartPLS version 3.0. The results of this study indicate that six out of ten hypotheses are accepted. So that the factors that influence the readiness of e-commerce adoption are the optimism variable for the customer readiness variable, the optimism variable for the competitive pressure variable, innovativeness for the customer readiness variable, innovativeness for competitive pressure, discomfort for customer readiness, and competitive pressure for IT adoption.
Application of The Speed-Up Robust Features Method To Identify Signature Image Patterns On Single Board Computer Nursalim; Cut Susan Octiva; Suluh Sri Wahyuningsih; Muhammad Lukman Hakim; Novrini Hasti
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i4.312

Abstract

Through the development of a signature pattern recognition program on SBC Beagle-bone Black, this research seeks to determine how to differentiate between real and false signatures. Three techniques of gathering data were employed in this study: interviews, observations, and a review of the literature. The quick application development method is the approach that is applied. The rapid, efficient, and brief development cycle (RAD) is emphasized. This study uses a use-case diagram to illustrate the application's logic and data flow. In this study, OpenCV is used as a digital image processing library along with the C++ programming language and QT creator as an integrated development environment (IDE). This application was subjected to both accuracy and functional testing. The following conclusions are drawn from the findings of the investigation and testing that was done: Using the fast library approach for approximate nearest neighbors (FLANN) and the speeded-up robust features (SURF) feature extraction method, the signature pattern recognition program on the Beagle-bone black SBC can differentiate between real and fraudulent signatures. Through the processes of generating image scale space, feature localization, and feature description, the SURF approach extracts feature from signature images. This signature pattern recognition application is one of the digital image processing apps that can be run on the Beagle-bone Black single board computer. This indicates that the specifications of the SBC Beagle-bone Black for digital image processing are good.
Comparison Analysis of Service Performance Using Kruskal Wallis-Friedman Test to Minimize Waiting Time in Toll Gate System Suluh Sri Wahyuningsih; Chevy Herli Sumerli A; T. Irfan Fajri; Cut Susan Octiva; Iwan Adhicandra
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.437

Abstract

The purpose of this study is to compare how well conventional, automatic, and OBU toll gates perform in terms of service. The author of this study employed two data collection techniques: primary data was gathered through interviews and field observations, and secondary data was obtained through a review of the literature. You choose which features and parameters are subject to change while the simulation is running. The system will be used to simulate how each algorithm performs in accordance with ideas and scenarios that have already been decided. Following the recording of the simulation findings, the verification step will be completed. On the basis of the outcomes of earlier data processing and analysis, the following conclusions are possible: In creating a toll gate model, two automatic toll booths spaced 60 meters apart from the toll gate were used as simulations to approximate the real thing. utilizing the Kruskal-Wallis-Friedman test computations to compare the performance of the toll gate service with six scenarios. The OBU-OBU scenario has the system's shortest waiting time, according to the computation findings. Conversely, the server utilities that are in use are traditional and traditional.
Application of Holt-Winter Exponential Smoothing Method to Design a Drug Inventory Prediction Application in Private Health Units Cut Susan Octiva; Israkwaty; Uli Wildan Nuryanto; Handry Eldo; Abdul Tahir
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.464

Abstract

This research aims to see how to design a drug supply prediction application using the Holt-Winter Exponential Smoothing method. The collection methods used in the research are as follows: observation, interviews. The prototyping system development method includes several important stages in designing research applications. The first stage is communication. After that, the Quick Plan stage. Construction of prototype stages. The final stage, deployment delivery and feedback, is the phase of system use by users. In addition, the team also conducts regular system maintenance to ensure optimal performance. These stages together form an iterative process for developing research applications using the prototyping method. Based on the research results, it was found that the test results for the drugs amoxicillin, cefixime, paracetamol, and CTM showed that the MAPE value was less than 10% for these four drugs, which means that the predictive value has quite high accuracy. So it can be concluded that the Holt Winter Exponential Smoothing algorithm can be well implemented to predict drug supplies.
Implementation of Rapid Application Development Method for Designing a Decision Support System to Reduce a Congestion Through Reversal Layout Engineering Cut Susan Octiva; Achmad Ridwan; M. Irfan Ramadhan; Balla Wahyu Budiarto
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.487

Abstract

This research aims to produce a decision support system to reduce traffic jams through U-turn layout engineering. We carried out data collection by recording traffic at the research site and conducting interviews through questionnaires submitted to the sources. System development stage, where this stage is divided into three major stages according to the method used, namely the RAD method. The three major stages are requirements planning, workshop design, and implementation. Based on the research results, it was found that the modeling of traffic passed by a U-turn can be identified through calculation graphs of volume, speed, density, capacity, degree of saturation, and geometric delay. Traffic flow engineering is implemented by modeling eight open U-turns, which are then eliminated or closed one by one in order to increase vehicle speed and reduce delays on that road section. We also carried out contraflow modeling for comparison. However, the results obtained were no better than U-turn elimination. The largest average number of motorbikes at the end of the week was only 300 motorbikes on Saturday. Meanwhile, the largest average of motorbikes on weekdays was 400 motorbikes on Thursday. The design combines two WFA methods and the fuzzy logic method to present several alternative decisions in the form of final values and bar graphs. These alternatives can be used as material for expert consideration in decision-making. A graph can serve as a benchmark when eliminating U-turns and testing contraflow on the road. Eliminating U-turns and testing contraflow on the road can provide an alternative decision solution using the largest graph.