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All Journal Journal of Economic, Bussines and Accounting (COSTING) JUMANJI (JURNAL MANAJEMEN JAMBI) Juriti Prima (Jurnal Ilmiah Teknik Industri Prima) Jurnal Sistem Teknik Industri Dinamis The International Conference on Education, Social Sciences and Technology (ICESST) Asian Multidisciplinary Research Journal of Economy and Learning
Sukaria Sinulingga
Universitas Sumatera Utara (USU)
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation Other

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Analyzing the Impact of Work-Life Balance, Creativity, and Job Stress on Employee Performance: The Mediating Role of Problem-Solving: English Wiharni Az Lubis, Rizki; Siahaan, Elisabet; Sinulingga, Sukaria
Asian Multidisciplinary Research Journal of Economy and Learning Vol. 1 No. 6 (2024): December 2024
Publisher : CV. ARGA FARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70471/wv55fk71

Abstract

This study aims to analyze the influence of work-life balance, creativity, and job stress on employee performance, with problem-solving as a mediating variable. The research was conducted on employees of PT. Bank Mandiri (Persero), Tbk, Unit CRC West Region I Sumatera 1, using a quantitative approach with the Structural Equation Modeling (SEM) method. Data were collected through questionnaires distributed to 160 respondents and analyzed using SmartPLS software. The results show that work-life balance and creativity have a positive and significant effect on employee performance, both directly and through problem-solving. Conversely, job stress has a significant adverse effect on employee performance, also mediated by problem-solving. The problem-solving variable plays an important role in bridging the relationship between work-life balance, creativity, and job stress with employee performance. This research provides practical implications for organizations to improve work-life balance, creativity, and employees' problem-solving abilities through flexible work policies, innovation training, and stress management programs. By focusing on the development of problem-solving skills, organizations can mitigate the effects of job stress and support employees in achieving optimal performance.
The Influence of Job Stress, Work Life Balance and Role Conflict on Employee Performance PT. X (Banking Company) Lubis, Rizki Wiharni Az.; Siahaan, Elisabet; Sinulingga, Sukaria
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 3 No. 2 (2024): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v3i2.429

Abstract

This research aims to determine the influence of job stress, work life balance and role conflict on employee performance at PT. X (Banking Company). The number of research respondents was 110 people, the research population was employees of PT. X (Banking Company), and uses non-probability sampling techniques. Multiple linear regression was used in data analysis. Research findings show the influence of job stress (X1), work life balance (X2), and role conflict (X3) on employees performance at PT. X (Banking Company). This is indicated by the F-count value of 56.240 with a significance of 0.000 (<0.05).
PERAN PEMASARAN DIGITAL DAN PEMASARAN MERK TERHADAP KEPUTUSAN PEMBELIAN PADA APLIKASI SEINDO TRAVEL Putri, R. Mawarni; Sadalia, Isfenti; Sinulingga, Sukaria
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 6 (2024): COSTING : Journal of Economic, Bussines 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/costing.v7i6.13937

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh pemasaran digital dan kesadaran merek terhadap keputusan pembelian pelanggan Seindo Travel. Metode yang digunakan adalah desain analitik korelasional dengan regresi berganda. Data primer diperoleh melalui survei kepada 150 responden yang dipilih secara acak dari populasi pelanggan Seindo Travel, sementara data sekunder diperoleh dari laporan perusahaan. Hasil penelitian menunjukkan bahwa pemasaran digital dan kesadaran merek memiliki pengaruh positif dan signifikan terhadap keputusan pembelian pelanggan. Pemasaran digital memberikan kontribusi yang lebih besar terhadap keputusan pembelian dibandingkan dengan kesadaran merek. Berdasarkan temuan ini, perusahaan disarankan untuk mengoptimalkan strategi pemasaran digital dan meningkatkan kesadaran merek agar dapat mempengaruhi keputusan pembelian pelanggan secara lebih efektif. Penelitian selanjutnya disarankan untuk mengeksplorasi variabel tambahan dan menggunakan pendekatan metode campuran untuk memperoleh hasil yang lebih komprehensif.
The Design of a Demand Forecasting Model of Glass Bottled Tea Products With Machine Learning Approach Said Munal Akid; Ishak, Aulia; Sinulingga, Sukaria
Jurnal Sistem Teknik Industri Vol. 27 No. 2 (2025): JSTI Volume 27 Number 2 April 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i2.17069

Abstract

An accurate sales forecasting is crucial to the profits earned because it affects the company's stock management. With computational support, machine learning and artificial intelligence can continuously and automatically recognize patterns in data, thereby reducing the risk of demand unpredictability. PT XYZ is one of the companies in industrial sector that produces various beverage products. The factory in Medan. One of the products is the tea glass bottle. At PT XYZ, there are frequent differences between forecasting data and sales data, causing high error rates in production planning accuracy. This study aims to analyze the most effective model for forecasting future sales by comparing the accuracy of a Machine Learning-based forecasting model with the existing forecasting method currently employed at PT XYZ. This research was conducted using the Recurrent Neural network (RNN) method as part of the Machine Learning approach. The data that was inputted to the programme was weekly demand data, calendar day off data, temperature data, and population data. The forecasted data is weekly demand. Based on the company's historical data, a demand graph is obtained which has a cyclical pattern. From the results of forecasting using Machine Learning, an accuracy value of 99.47% is obtained with an error rate of 0.53%, which is still below the tolerance limit set by the company. The error rate shows a decrease of 14.72% compared to the error value in the previous company model. This decrease is expected to help control inventory more effectively.  
Parallel Scheduling using Genetic Algorithm and Knowledge Based Approach Gurusinga, Mentari Oktaria; Ginting, Rosnani; Sinulingga, Sukaria
Jurnal Sistem Teknik Industri Vol. 27 No. 2 (2025): JSTI Volume 27 Number 2 April 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i2.19099

Abstract

Production scheduling are very important considering the complexity of the production system. This study aims to solve parallel machine scheduling to get the best job sequence and minimize lateness. Genetic algorithm is optimization algorithms by implementing evolution process and eliminating bad solutions. Knowledge based approach (KBA) solve problems by creating a computing system to imitates human intelligent behavior. Genetic algorithm and KBA are combined with the earliest due date (EDD) rule to produce an inference engine to build more adaptive population initialization. The results of the proposed scheduling show that the rules successfully guide the search process more adaptively. The genetic operation increasing the fitness value when the job is overload or underload. When the job is underload fitness increases by 3.56%, there is no lateness and load capacity ratio (LCR) increase by 4.67%. When the overload fitness increases by 1%, lateness decreases by 4.57%, and LCR decreases by 7.56%. The increase of fitness value shows better results of the proposed job sequence with minimum lateness. The implementation of integration genetic algorithms and KBA using VB.Net language requires a reasonable computing time, which is an average of 32 seconds when running.
PERANCANGAN MODEL PENGUKURAN KINERJA DENGAN METODE QUANTITATIVE MODELS FOR PERFORMANCE MEASUREMENT SYSTEM (QMPMS) BERDASARKAN PERSEPSI MAHASISWA DI STMIK IBBI MEDAN Pasaribu, Jahartap Yustin; Sinulingga, Sukaria
JURITI (Jurnal Ilmiah Teknik Industri )Prima Vol 2 No 1 (2018): Juriti Prima (Jurnal Ilmiah Teknik Industri Prima)
Publisher : Fakultas Teknologi dan Ilmu Komputer, Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/juritiprima.v2i1.1709

Abstract

Gambaran kondisi Kinerja institusi dibutuhkan oleh STMIK IBBI Medan untuk mengetahui posisi daya saing perguruan tinggi, dan pada gilirannya menjadi dasar dalam melakukan perbaikan untuk meningkatkan daya saing. Agar dapat mengukur kinerja institusi dengan baik, maka sebaiknya dirancang model pengukuran kinerja yang mampu mengukur efektivitas dan efisiensi dari setiap aktivitas yang dilakukan. Rancangan model pengukuran kinerja disusun berdasarkan kriteria pelanggan dengan metode Quantitave Models for Performance Measurement System (QMPMS), yang penentuan faktor-faktor dan key performance indicators (KPI) ditentukan berdasarkan tiga tahapan, yaitu: 1) Identifikasi faktor-faktor yang mempengaruhi kinerja dan hubungannya, 2) Menyusun faktor-faktor tersebut secara hirarki, dan 3) Mengukur pengaruh dari faktor-faktor tersebut terhadap kinerja. Hasil penelitian menunjukkan bahwa kompetensi dosen (0,413), learning ability mahasiswa (0,347), dukungan fasilitas (1,102), dukungan alumni (0,345), administrasi akademik (0,249), dan proses pembelajaran (0,822) berpengaruh langsung terhadap kinerja institusi. Disamping itu, kompetensi dosen juga berpengaruh tidak langsung terhadap kinerja institusi melalui proses pembelajaran. Hasil perancangan model pengukuran kinerja di STMIK IBBI Medan, mengidentifikasi 38 Key Performance Indicators (KPI’s), yaitu: 9 KPI’s kriteria kompetensi dosen, 8 KPI’s kriteria learning ability mahasiswa, 7 KPI’s kriteria dukungan fasilitas, 2 KPI’s kriteria dukungan alumni, 3 KPI’s kriteria administrai akademik, dan 9 KPI’s kriteria proses pembelajaran.
Risk Identification and Mitigation in the Halal Black Tea Orthodox Supply Chain Using SCOR and House of Risk Shalihin, Ahmad; Sihombing, Clarisa D; Sinulingga, Sukaria
Jurnal Sistem Teknik Industri Vol. 27 No. 3 (2025): JSTI Volume 27 Number 3 July 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i3.20240

Abstract

The plantation sector such as tea has a complex supply chain. The production process that takes place at PTPN IV Tobasari Tea Unit is not free from various problems. Delays in the raw material processing process often occur due to raw materials not arriving according to schedule. Delays are supported by disruptions to processing machines that can hinder or even stop the production process. Therefore, it is necessary to design mitigation actions to minimize and prevent risks that occur. This study aims to identify risk-causing factors using the Supply Chain Operation Reference (SCOR) and formulate effective risk mitigation policies based on priority risk agents using the House of Risk (HOR) approach. The results of risk identification at House of Risk showed that there were 21 risk events with 4 priority risk agents where the cumulative frequency value of Aggregate Risk Potential (ARP) was 76.82%. Effective and easy mitigation actions based on the Effectiveness to Difficulty value are to conduct analysis and evaluation of employee performance. These findings provide practical implications for improving supply chain resilience in the tea industry, particularly in addressing delays and machine failures through targeted risk mitigation strategies.
Analysis of Overall Equipment Effectiveness (OEE) Enhancement With Total Productive Maintenance Improvements in Rubber Company ALDA, TANIA; Bastanta Silalahi, Hiskia; Sinulingga, Sukaria
DINAMIS Vol. 12 No. 2 (2024): Dinamis
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dinamis.v12i2.18817

Abstract

This research was conducted at a company engaged in rubber processing. This company plants, maintains, and processes rubber to produce Crumb Rubber. Based on observations during the study, it is known that there are defective products with an average of 400 kg per month. The type of defect found in the product is a white spot. Defects in these products are caused by failures in the performance of machines that experience thirst or collection, causing white spots in the products produced. This study aims to improve the company's performance by reducing defective products by analyzing the factors that cause a decrease in company performance, measuring the overall equipment effectiveness (OEE) value, and providing an improvement design to improve machine performance so that defective products can be minimized. The research found that two dominant factors cause high machine breakdowns: maintenance schedules and raw material quality. Based on the calculation results, the average overall equipment effectiveness value is 46%. Machine performance is not according to OEE standards due to the average value of the availability rate being 80%, the performance rate being 93%, and the quality rate being 57%. Based on this, the improvement design for the low OEE value is to improve the suggestion system, improve the quality control group, and implement the company's PDCA (Plan, Do, Check, Act) cycle.
Co-Authors Abdul Rahim Matondang Aulia Ishak Bastanta Silalahi, Hiskia Dalimunthe, Sri Baginda Daulay, Donni Syahrial Hanafi Dulmuzid, Dulmuzid Gurusinga, Mentari Oktaria Harmein Nasution Humala Napitupulu isfenti sadalia Juliza Hidayati Lubis, Rizki Wiharni Az. Manik, Donald Meilita Tryana Sembiring, Meilita Tryana Nazaruddin M Pasaribu, Jahartap Yustin Putri, R. Mawarni Rosnani Ginting Said Munal Akid Shalihin, Ahmad Siahaan, Elisabet Sihombing, Clarisa D Simarmata, Roberta Sinambela, Yusnia Siregar, Khairun Nissa Sitepu, Ferdyanta Sugih Arto Pujangkoro Tania Alda Utomo Hadi, Utomo Wiharni Az Lubis, Rizki Yanti, Nani Vivi