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All Journal CommIT (Communication & Information Technology) Jurnal Optimasi Sistem Industri Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri ComTech: Computer, Mathematics and Engineering Applications Management Studies and Entrepreneurship Journal (MSEJ) INFOKUM Jurnal Scientia Media Bina Ilmiah
Ardhianiswari Diah Ekawati, Ardhianiswari Diah
Industrial Engineering Department, BINUS Graduate Program-Master Of Industrial Engineering, Bina Nusa University, Jakarta, Indonesia 11480
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Improving Product Quality and Meg Recovery Unit (Mru) Efficiency by Applying Lean Six Sigma Methods in A Floating Production Unit Joko Santoso; Ariska Dithya Pratiwi; Ardhianiswari Diah Ekawati
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : CV. Ridwan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.596 KB) | DOI: 10.36418/syntax-literate.v7i12.11327

Abstract

One of the challenges of managing gas from deep-water wells is ensuring that the flow from the subsea does not form a hydrate, which causes the production to stop due to blockage in the pipeline. Injection Mono Ethylene Glycol (MEG) is the technology used to prevent hydrates formation. The MEG Recovery Unit (MRU) is a system used to recover rich MEG from wells. However, after operating for four years, the MRU experienced a decrease in performance as indicated by lean MEG products that did not meet the specifications, and MEG losses exceeded the specified limit. This study examines the case by taking an effective approach to solving problems by applying the Lean Six Sigma method that focuses on improving product quality and MRU efficiency using Define-Measure-Analyze-Improve-Control (DMAIC) framework. The process starts by defining the problem of the MRU system with involves brainstorming consultation to select the root cause of the problem. Classifying and assessing these reasons has been done through the use of various tools, the fishbone diagram, Failure Mode and Effect Analysis (FMEA), and the 5 why analysis. The results show that Lean Six Sigma methodologies and tools effectively find the root causes of problems accurately and can provide continuous improvement. The quality of lean MEG products has increased with the cleanliness value below NAS 8 and Total Dissolve Solid below 100 ppm. This reduces operating costs to replace filters with savings of $42,000 per month. Meanwhile, MRU efficiency increased from 96% to 98%, and MEG losses reduced from 1500 liters/day to 750 liters/day equivalent to a savings of $36,000 per month
The Intention to Use of a New Mobile Apps: A Case from Customers of an Indonesian Electrity Company Andhita Eriyandini; Ardhianiswari Diah Ekawati
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i2.15212

Abstract

Mobile apps are now an integral part of our daily life which brought quite significant changes in consumer behavior. Therefore, the development of electronic service quality becomes a crucial factor to consider in determining whether digital transformation affects customer satisfaction. PT PLN (Persero), the Indonesian Electricity Company launched their new mobile apps in 2022 with the objective to provide better customer engagement and service. New PLN Mobile is an application used by PT PLN (Persero) to facilitate customers in enjoying every service provided by the company. This study integrates constructs from the mobile-technology acceptance model (M-TAM) and unified theory of acceptance and use of technology model (UTAUT) into a new theoretical model and tests them to a one of rural regions in Indonesia. The study was conducted by using a structured questionnaire to collect data from 566 respondens of customers of PT PLN (Persero) PLN ULP Jeneponto. The research model was assessed using the partial least squares structural equation model (PLS-SEM) methodology, facilitated by the Smart PLS software to provide insights into the factors that determine the acceptance of technology, which can explain user behavior. The analysis results are expected to identify the factors of customer readiness in adopting the New PLN Mobile electronic service in Jeneponto Regency. The results revealed significant relationships for all of the hypotheses. Mobile Usefulness to Intention to Use (H1), Mobile Ease of Use to Intention to Use (H2), Social Influence to Intention to Use (H3), Facilitating Condition to Intention to Use (H4) and Intention to Use to Actual Use (H5) showed t-stat values respectively, surpassing the standard test value. In the results, it can also be observed that the most significant factor influencing Intention to Use is Facilitating Condition.
Co-Authors Andhita Eriyandini Anita Maharani Ariska Dithya Pratiwi Ariska Dithya Pratiwi Astri Desiana Astri Desiana Astri Desiana Chandra Hosen Febriana, Trisna Joko Santoso Joko Santoso Ni Made Dewi Ayu Murti Trisna Febriana Yunita Kartika Sari Yunita Kartika Sari, Yunita Kartika