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All Journal IJOCE (International Journal of Offshore and Coastal Engineering) Jurnal Pengabdian UNDIKMA
Adhitya Ryan Ramadhani
Universitas Pertamina
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Empowering the Community through Household Waste Source Separation Education in Barengkok Village: A Pretest–Posttest Evaluation Adhitya Ryan Ramadhani; Purwo Kadarno; Sylvia Ayu Pradanawati; Byan Wahyu Riyandwita; Muhammad Akbar Barrinaya; Waskito Pranowo; Herminarto Nugroho
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.17517

Abstract

This community service program aims to enhance the knowledge and skills of residents in Barengkok Village regarding household waste segregation at the source, particularly the separation of organic and inorganic waste, as well as basic on-site processing of organic waste at the household level. The implementation method employed a participatory educational approach through training sessions involving adult residents as the primary participants. The program integrated participatory instruction, hands-on demonstrations, including the establishment of a two-bin waste separation system and basic composting techniques, and pre- and post-assessments consisting of seven waste literacy items. Descriptive statistics indicated consistent post-session improvement across all items, with the most substantial gains observed in waste categorization and organic waste management skills. Participant surveys revealed very high perceived relevance and satisfaction, suggesting that the program was well received by the community. This initiative provides a practical and cost-effective model that combines clear procedures with simple supporting tools, including designated two-bin kits and a laminated kitchen guide, enabling households to operate more independently despite downstream collection limitations. The findings also suggest the need for a brief 4–6-week follow-up period, including bin placement monitoring, contamination assessment, and initial compost trials, as well as a strategy for village-level institutionalization through community advocates and a regular buy-back schedule for clean recyclables.
Bivariate Archimedean Copulas to Solve Complex Dependency in Marine Engineering Problems Adhitya Ryan Ramadhani; Waskito Pranowo
International Journal of Offshore and Coastal Engineering Vol. 7 No. 2 (2023)
Publisher : Department of Ocean Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25800914.v7i2.2368

Abstract

Climate change has made offshore installations suffer severe consequences from extreme marine hazards. These offshore installations were designed to withstand extreme natural hazards. Marine natural hazards commonly occur interdependently. Thus, a multivariate model to capture this complex dependence structure is necessary. Practically, modelling marine natural hazards is usually assumed to be mutually independent or correlated by a multivariate Gaussian distribution. However, this biased assumption is not relevant to capture the real dependence structure between marine parameters. Copula functions are used to model the complex dependence structure between marine parameters. A simplified case study is selected to illustrate the modelling between wave height and wind speed. Results are compared with the traditional joint probability approach to demonstrate the advantage of copula functions. The use of copula functions provides a better result to model any complex dependence structure between correlated variables.
Co-Authors Byan Wahyu Riyandwita Herminarto Nugroho Muhammad Akbar Barrinaya Purwo Kadarno Sylvia Ayu Pradanawati Waskito Pranowo