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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Sinergi JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri INTECOMS: Journal of Information Technology and Computer Science Indonesian Journal of Computing, Engineering, and Design
Apriani, Ratna Agil
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Arts Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Analysis of Waste Separation Drivers in Urban Centers Using the Theory of Planned Behavior and the Norm Activation Model Maghfiroh, Meilinda Fitriani Nur; Muqimuddin, Muqimuddin; Sartika, Widya; Redi, Anak Agung Ngurah Perwira; Abdallah, Bayu Nur; Hutahaean, Glenardo Antoi; Apriani, Ratna Agil
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.392

Abstract

Urban centers worldwide are grappling with complex waste management challenges, including efficient collection, transportation, processing, and an over-reliance on landfills. A promising approach to mitigate these issues lies in bolstering public participation in waste separation, which could significantly improve recycling efforts. To effectively encourage this practice, it is crucial to understand the underlying factors that motivate community engagement in waste segregation activities. This study utilizes the Theory of Planned Behavior and the Norm Activation Model to identify and analyze determinants influencing individuals' propensity to separate waste in the sampling area of Balikpapan City, Indonesia. Balikpapan, one of the cities in Indonesia, is currently facing several distinct challenges related to waste management. Through the empirical validation of eight hypotheses, it becomes apparent that the presence of market facilitators (H3) and the influence of past behavior (H5) play pivotal roles in shaping the intention to engage in waste separation. The findings suggest that providing accessible, well-maintained market facilities and initiatives designed to enrich the public's waste separation experience are essential strategies. Implementing these strategies could significantly improve waste separation practices within specific urban contexts such as Balikpapan, Indonesia, and other cities facing similar environmental management challenges.
Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model Basuki, Demas Emirbuwono; Cahyo, Winda Nur; Handayani, Dwi; Apriani, Ratna Agil; Mukarim, Rifki Nurul
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.153-168

Abstract

Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.
Co-Authors Abdurrahman, Zaki Alditama, Rizky Alhabsyi, Feni Silvani P Anak Agung Ngurah Perwira Redi Angga Kurniawan Azizah, Nabila Aulia Basuki, Demas Emirbuwono Bayu Nur Abdallah, Bayu Nur Cahyo, Winda Nur Dwi Handayani HARI PURNOMO Hutahaean, Glenardo Antoi Jannah, Rizky Miftahul Kirana, Nabila Lintang Kusrini, Elisa Maghfiroh, Meilinda Fitriani Nur Majid, Muria Shandy Mufid, Nisrina Faiza Muhammad Ridwan Andi Purnomo Mukarim, Rifki Nurul Muqimuddin Muqimuddin Ningsih, Tri Wulandari Putri, Lutfiah Sartika, Widya Soewardi, Hartomo Subagja, Dandy Fri Wardhani, Alya Fauziah Kusuma Wibowo, Latifah Fitri Nuraida Zidan, Muhammad Faqih