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All Journal Sistemasi: Jurnal Sistem Informasi JIE (Journal of Islamic Education) JURNAL DIVERSITA Jurnal STEI Ekonomi International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) J-COSCIS : Journal of Computer Science Community Service Journal Islamic Business and Entrepreneurship / JIBE Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Ilmiah Manajemen Ekonomi Dan Akuntansi (JIMEA) The Indonesian Journal of Computer Science
Susi Handayani
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Neuroscience Social Sciences

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Dampak stres kerja, kecerdasan emosional dan dukungan sosial terhadap kinerja karyawan PT XYZ Risma Widiastuti; Susi Handayani; Siti Komariah Hildayanti
Jurnal STEI Ekonomi Vol. 34 No. 2 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36406/jemi.v34i2.107

Abstract

This study investigates the combined impact of work-related stress, emotional intelligence, and social support on employee performance at PT XYZ. Using a quantitative approach, data were collected via Google Forms questionnaires distributed to 95 randomly selected employees through WhatsApp. Multiple linear regression analysis revealed three key findings: (1) work-related stress positively and significantly enhances performance, suggesting that manageable stress levels may motivate employees; (2) emotional intelligence demonstrates a strong positive relationship with performance, highlighting its role in workplace effectiveness; and (3) social support significantly improves performance, emphasizing the importance of interpersonal resources. Collectively, these factors account for substantial variance in performance outcomes. The results validate theoretical expectations and offer practical insights: organizations can optimize performance by implementing stress management programs, emotional intelligence training, and robust support systems. These interventions can foster employee engagement, ultimately supporting the achievement of organizational goals  
ANALYSIS OF THE INFLUENCE OF EMPLOYEE PERFORMANCE THROUGH JOB STRESS, WORKLOAD AND WORK DISCIPLINE Susi Handayani; Muhammad Iqbal; Lila Bismala; Hafsah
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 3 No. 3 (2024): FEBRUARY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v3i3.385

Abstract

The aim of this research is to determine and analyze the influence of employee performance through work stress, workload and work discipline at PT. North Sumatra Medan Bank Coordinator Branch Office either partially or simultaneously. The approach used in this research is an associative approach. The population in this study were all employees of PT. Medan North Sumatra Bank Coordinator Branch Office. The sample in this study used the Slovin formula, totaling 60 employees at PT. Medan North Sumatra Bank Coordinator Branch Office. Data collection techniques in this research used interview techniques, documentation studies, observations and questionnaires. The data analysis technique in this research uses Multiple Linear Regression Analysis Test, Hypothesis Test (t Test and F Test), and Coefficient of Determination. Data processing in this research used the SPSS (Statistical Package for the Social Sciences) software program version 24.00. The results of this research prove that partially and simultaneously work stress, workload, work discipline have a significant effect on the performance of PT employees. Medan North Sumatra Bank Coordinator Branch Office
Convolutional Neural Network – Long Short Term Memory Untuk Prediksi Harga Emas Indonesia Susi Handayani; Taslim Malano; Dafwen Toresa
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3074

Abstract

In the economic field, gold generally has three main functions, namely the monetary function, investment and industrial functions. In the financial world, prediction of the trend of gold price fluctuations is an important issue. Convolutional neural network algorithm is one of the popular algorithms in the image classification domain. But this algorithm can also be applied to 1-dimensional problems, such as predicting the next value in a sequence, be it a time series or the next word in a sentence. In this study, the Convolutional Neural Network algorithm was optimized with long shot time memory to predict the price of Indonesian gold from 1979 to 2021 with a total of 511 records. The test was carried out with three different epoch values, namely 50, 100 and 150 with a validity test using RMSE. From the test results, the smallest RMSE train value and RMSE validation are generated at epoch 150, which is 0.0138 for RMSE train and 0.0402 for RMSE validation.
Co-Authors Akbar, Junior Akmal Jayyidan Baihaqi Dafwen Toresa Dewi Andriany Evalyne Laura Samantha Ol Saragih Fajrizal Gustina Siregar Hafsah Hafsah Hafsah Iqbal Harifal Lailan Safina Hasibuan Lila Bismala Lusiana Dwi Lestari Muhammad Iqbal Nashrullah Adhipramana Nirpataka Ningsih, Kursiah Warti Nunung Agus Firmansyah Rahmah Fithriani Risma Widiastuti Roswaty RR. Ella Evrita Hestiandari Sabna, Eka Sembiring, Rinawati Siregar, Hasan Sakti Siti Komariah Hildayanti Syahril Taslim Taslim Malano Taslim Taslim Walhidayat Yogi Yunefri, Yogi