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Quality improvement using lean six sigma in air conditioning products Purwanto, Cipto; Jayanti, Brian Sila; Bernard, Fransiska Sekarlati; Ekawati, Ardhianiswari Diah
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5408

Air Conditioners (AC) are essential electronic products for residential and industrial buildings in tropical countries or during warm weather in general. The penetration ratio of electronic Air Conditioners (AC) has been increasing every year. Data collection and processing were conducted directly by the author through observation, measurement, and calculation on the heat exchanger production of Air Conditioners (AC). In the production cost of Air Conditioners (AC), the heat exchanger accounts for the second highest cost after the compressor making up 19% of the total cost. The high cost is caused by pipe leaks, with a percentage of 73.7%. This research aims to analyze the improvement of Air Conditioner (AC) production quality using the Six Sigma method. The defect rate in the heat exchanger, evaluated through the Define, Measure, Analyze, Improve, Control (DMAIC) method originating from Six Sigma, was found to be 1,144.8 defects per million opportunities. Further analysis was conducted with the Failure Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods. This research was conducted at XYZ company by conducting interviews and observations for 3 months. FMEA and FTA analysis resulted in the top two failure risks based on the Risk Priority Number (RPN): flaring diameter too big and unstable brazing skill. In the manual brazing process, it was found that work by operators with level A certification produced 9% below standard outcomes. An improvement was obtained by changing the punch flaring size to 8.5mm and conducting skill certification and training for brazing operators. The results of the proposed improvement implementation led to a reduction in the DPMO value to 403.35, equivalent to a decrease of 64.7%. The defect ratio in production decreased by 38.1%, exceeding the previous target of 26.2%, equivalent to $31.96/month/unit. The results of this study are horizontal, allowing the implementation of improvements made in the heat exchanger production process to be expanded to other cooling electronic production processes.

The Intention to Use of a New Mobile Apps: A Case from Customers of an Indonesian Electrity Company Eriyandini, Andhita; Ekawati, Ardhianiswari Diah
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

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.

Improving Service Quality in a Tutoring Institutions using Fuzzy-Servqual Febrian Krisnawati; Ardhianiswari Diah Ekawati
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 19, No 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i3.002

Quality improvement is a business strategy that emphasizes fulfilling consumer desires. This study aims to determine consumer needs, in this case students, as a reference for improving the business quality of tutoring institutions by using the Fuzzy-Servqual method to sort out service quality values that can be used to determine priority handling. The evaluation criteria are determined based on the five dimensions of the servqual model. Fuzzy-servqual is applied to get the importance weight of each servqual model criterion. The dimension of physical evidence (tangibles) is a priority that needs to be evaluated, with a gap value of -0.08. The top priority is Availability of Green Areas -0.51, followed by Completeness, comfort and cleanliness of the library -0.44, and Comfort, cleanliness and safety of study rooms -0.24. The conclusion obtained is that the application of Fuzzy Servqual can be applied to measure the quality of service in a tutoring institution based on predetermined indicators. Future research should adopt a more comprehensive approach by considering various perspectives for a thorough understanding of improving the quality of services in tutoring institutions

Improving Service Quality in a Tutoring Institutions using Fuzzy-Servqual Febrian Krisnawati; Ardhianiswari Diah Ekawati
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 19 No. 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i3.002

Quality improvement is a business strategy that emphasizes fulfilling consumer desires. This study aims to determine consumer needs, in this case students, as a reference for improving the business quality of tutoring institutions by using the Fuzzy-Servqual method to sort out service quality values that can be used to determine priority handling. The evaluation criteria are determined based on the five dimensions of the servqual model. Fuzzy-servqual is applied to get the importance weight of each servqual model criterion. The dimension of physical evidence (tangibles) is a priority that needs to be evaluated, with a gap value of -0.08. The top priority is Availability of Green Areas -0.51, followed by Completeness, comfort and cleanliness of the library -0.44, and Comfort, cleanliness and safety of study rooms -0.24. The conclusion obtained is that the application of Fuzzy Servqual can be applied to measure the quality of service in a tutoring institution based on predetermined indicators. Future research should adopt a more comprehensive approach by considering various perspectives for a thorough understanding of improving the quality of services in tutoring institutions

Design and Evaluation of Hazard Analysis Procedures in Mining Occupational Safety Programs Azhari Alriza; Ardhianiswari Diah Ekawati
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2490

Workplace accidents in the mining industry remain high, highlighting the need for systematic hazard analysis to strengthen Occupational Health and Safety (OHS) programs. This study aims to design and evaluate a Hazard Analysis Procedure (HAP) model for PT. XYZ. Using quantitative methods, the research applied the Fuzzy Delphi technique to validate OHS parameters and the Fuzzy Analytic Hierarchy Process (FAHP) to determine their relative weights. Data were obtained from ten certified OHS experts through structured questionnaires. Twenty-four indicators were identified, grouped into six main criteria: management leadership, worker participation, hazard identification and assessment, hazard prevention and control, program evaluation and improvement, and accident frequency. FAHP results showed that management commitment (0.092), hazard identification (0.088), and program evaluation (0.081) were the most influential indicators. A 95% threshold was proposed as the benchmark for successful HAP implementation. Findings provide practical recommendations and support continuous improvement of mining OHS management systems.

Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency Yusha Sinatrya; Ardhianiswari Diah Ekawati
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.2091

Transportation is very vital to society these days as it provides mobility and maintains economic growth. In January 2022, Indonesia was Southeast Asia's largest auto market. PT Blue Bird Tbk., one of the largest car rental and transportation companies in Indonesia, faced very critical problems involving workshop efficiency and customer satisfaction. This study will optimize the car repair process via the implementation of Lean Manufacturing principles with the Digital Value Stream Mapping (DVSM) technique. Identification of waste was conducted via Waste Assessment Model (WAM) and a directed questionnaire, wherein the three major types of waste were overproduction (21.07%), defects (16.89%), and waiting (16.65%). For these, two VALSAT tools—Process Activity Mapping and Supply Chain Response Matrix—were employed. Simulation using Arena software was performed to validate the proposed improvements. Upon implementation, the lead time for car repair decreased from 12.887 seconds to 12.203 seconds, a decrease of 5.3%. The research indicates that lean tools can be effectively applied in car maintenance services, particularly in developing countries, to increase operating efficiency and service performance.

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