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ANALISIS KUALITAS WEBSITE PUSAT KARIR ITN MALANG DENGAN MENGGUNAKAN METODE WEBQUAL 4.0 Deddy Rudhistiar; Reiny Myrtanti; Ida Bagus Suardika
JURNAL REKAYASA SISTEM INDUSTRI Vol 8 No 1 (2022): (November 2022)
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v8i1.6489

Abstract

A websites in the development of information technology makes it easier to find information effectively and efficiently. Until now the website is also used within the scope of a university or institution. An institution can use a website as a means of information and communication that can be accessed by everyone. Career Center National Institute of Technology Malang, is one of the institutions in charge of serving alumni and tracer study. This institution implements a website as a medium for disseminating information about alumni, tracer study and job fairs, as well as job vacancies in accordance with the Study Program at National Institute of Technology Malang. The purpose of this study is to determine the quality of the Career Center National Institute of Technology Malang website, by analyzing and measuring the quality value of the Career Center website. The method used in this study is the WebQual 4.0 method with the object being studied is the Career Center website. The number of respondents is 147 people who come from students, alumni, lecturers and employees as well as the general public with data collection techniques using questionnaires. The variables used in this research are usage, information service quality, website design, and interaction service quality, as well as user satisfaction. Based on the questionnaire analysis using the WebQual 4.0 Method and Importance Performance Analysis with 5 variables used, the mapping results into 4 (four) quadrants, namely quadrants I, II, III, and IV. According to user perception, it is expected that the institution will prioritize the most influential quadrant I to make improvements/additions/changes to the Information Dimension, in providing accurate, timely, and relevant information.
Optimizing Broiler Production Capacity Through Master Production Schedule (MPS) and Rough Cut Capacity Planning (RCCP) at PT X Muhammad Rizki Abdullah; Reiny Myrtanti; Ellysa Nursanti
JURNAL REKAYASA SISTEM INDUSTRI Vol 11 No 2 (2026): Mei 2026
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v11i2.10812

Abstract

Fluctuations in market demand for broiler chickens pose a challenge for broiler processing companies in balancing demand with production capacity. PT X often faces problems with actual capacity mismatch with production schedules, potentially causing delays or stock shortages. This study aims to optimize broiler production capacity at PT X through the implementation of Master Production Schedule (MPS) and Rough Cut Capacity Planning (RCCP). The research method used is a quantitative approach by collecting and analyzing data on production, demand, inventory, and safety stock levels. The MPS is prepared to determine the amount of production needed in a certain period based on projected demand and inventory conditions. Furthermore, RCCP is applied as an evaluation stage to assess the suitability of available production capacity with MPS needs. From the preparation of the MPS scheduled weekly, the results obtained were 221,944 kg / week, then from the analysis with RCCP through the Bill of Labor approach, it was found that several work centers showed a capacity shortage compared to MPS needs, especially at work center I which uses a drum chiller machine. The recommended improvement proposal is to add 1-2 hours of overtime per shift to close the production capacity gap. The research results show that the implementation of MPS can provide a more structured overview of the production schedule, while RCCP plays a crucial role in ensuring existing production capacity can meet demand needs. Thus, the combination of MPS and RCCP supports company decision-making and optimizes production capacity planning at PT X.