Environmentally Friendly Strategies for Recycling Agricultural Waste to Produce Renewable Energy: A Case Study of Durian Fruit

Dino Rimantho; Dita Ariyanti; Roni Maryana

doi:10.31181/dmame7220241138

Authors

Dino Rimantho Industrial Engineering, Pancasila University, Srengsengsawah, DKI Jakarta, Indonesia https://orcid.org/0000-0001-8931-1611
Dita Ariyanti Research Center for Chemistry, National Research and Innovation Agency, Building 452 KST BJ Habibie, Serpong Tangerang Selatan, Banten, Indonesia https://orcid.org/0000-0001-7621-664X
Roni Maryana Research Center for Chemistry, National Research and Innovation Agency, Building 452 KST BJ Habibie, Serpong Tangerang Selatan, Banten, Indonesia https://orcid.org/0000-0001-7134-9347

DOI:

https://doi.org/10.31181/dmame7220241138

Keywords:

Agriculture, Waste, Renewable energy, SWOT, TOPSIS

Abstract

The increasing need for harvests, resources, and facilities is associated with significant biowaste production from agricultural processes. Although the waste is nutrient-rich, it may become refinement lands for ailment-triggering bacteria when not managed correctly. The waste can be transformed into raw materials for valuable crops or sources of environmentally friendly energy. Therefore, this study examined agricultural waste management strategies as Indonesia's sustainable renewable energy source. SWOT and TOPSIS methods were used to identify the optimal approach for advancing renewable energy in Riau Province, while multiple respondents participated in identifying critical criteria and evaluating each option. The results showed that based on SWOT analysis, the Strength–Opportunity (SO) factor favored using agricultural waste for renewable energy in Indonesia. Furthermore, TOPSIS analysis indicated that Alternative A2 (Bioethanol) had the most significant distance among the alternatives, with a weight of 0.825. Future studies are needed to provide more accurate results and improve the current understanding regarding the evolution of renewable energy in Indonesia. Additionally, in-depth investigations should prioritize increased consumer awareness of renewable consumption, higher producer productivity, and strengthened policies.

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References

Bharathiraja, S., Suriya, J., Krishnan, M., Manivasagan, P., & Kim, S.-K. (2017). Production of Enzymes From Agricultural Wastes and Their Potential Industrial Applications. Advances in Food and Nutrition Study, 80, 125–148. https://doi.org/10.1016/bs.afnr.2016.11.003

Ravindran, R., Hassan, S. S., Williams, G. A., & Jaiswal, A. K. (2018). A Review on Bioconversion of Agro-Industrial Wastes to Industrially Important Enzymes. Bioengineering, 5(4), 93 https://doi.org/10.3390/bioengineering5040093

Ying, J., Ming, K., Voon, J., May, K., & Fei, K. (2023). Upcycling of biomass waste from durian industry for green and sustainable applications : An analysis review in the Malaysia context. Energy Nexus, 10, 100203. https://doi.org/10.1016/j.nexus.2023.100203

Ngabura, M., Hussain, S. A., Ghani, W. A. W. A., Jami, M. S., & Tan, Y. P. (2018). Utilisation of renewable durian peels for biosorption of zinc from wastewater. Journal of Environmental Chemical Engineering, 6(2), 2528–2539. https://doi.org/https://doi.org/10.1016/j.jece.2018.03.052

Charoenphun, N., & Sai-ut, S. (2020). Chemical Composition and Trends in Utilization of By - products and Wastes from 4 Types of Tropical Fruit Processing. Thai Science and Technology Journal, 28(1), 113–128. https://doi.org/10.14456/tstj.2020.10

Rotthong, M., Takaoka, M., Oshita, K., Rachdawong, P., Gheewala, S. H., & Prapaspongsa, T. (2023). Life Cycle Assessment of Integrated Municipal Organic Waste Management Systems in Thailand. Sustainability, 15(1), 90. https://doi.org/10.3390/su15010090

Choudhury, A. G., Roy, P., Kumari, S., & Singh, V. K. (2022). Utility of Fruit-Based Industry Waste. In Handbook of Solid Waste Management: Sustainability through Circular Economy (pp. 757-784). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-16-4230-2_38

Sambodo, M. T., Yuliana, C. I., Hidayat, S., Novandra, R., Handoyo, F. W., Farandy, A. R., Inayah, I., & Yuniarti, P. I. (2022). Breaking barriers to low-carbon development in Indonesia: deployment of renewable energy. Heliyon, 8(4), e09304. https://doi.org/10.1016/j.heliyon.2022.e09304

Siksnelyte, I., Zavadskas, E. K., Bausys, R., & Streimikiene, D. (2019). Implementation of EU energy policy priorities in the Baltic Sea Region countries: Sustainability assessment based on neutrosophic MULTIMOORA method. Energy Policy, 125, 90–102. https://doi.org/10.1016/J.ENPOL.2018.10.013

Zhu, L., Hiltunen, E., Antila, E., Huang, F., & Song, L. (2015). Investigation of China's bio-energy industry development modes based on a SWOT–PEST model. International Journal of Sustainable Energy, 34(8), 552-559. https://doi.org/10.1080/14786451.2014.884096

Irfan, M., Hameed, S. A., Sarwar, U. Bin, Abas, N., & Saleem, S. (2019). SWOT ANALYSIS OF ENERGY POLICY 2013 OF PAKISTAN. European Journal of Engineering Science and Technology, 2(1), 71–94. https://doi.org/10.33422/EJEST.2019.01.53

Shakeel, S. R., Takala, J., & Shakeel, W. (2016). Renewable energy sources in power generation in Pakistan. Renewable and Sustainable Energy Reviews, 64, 421–434. https://doi.org/https://doi.org/10.1016/j.rser.2016.06.016

Terrados, J., Almonacid, G., & Hontoria, L. (2007). Regional energy planning through SWOT analysis and strategic planning tools.: Impact on renewables development. Renewable and Sustainable Energy Reviews, 11(6), 1275–1287. https://doi.org/https://doi.org/10.1016/j.rser.2005.08.003

Kamran, M., Fazal, M. R., & Mudassar, M. (2020). Towards empowerment of the renewable energy sector in Pakistan for sustainable energy evolution: SWOT analysis. Renewable Energy, 146, 543–558. https://doi.org/https://doi.org/10.1016/j.renene.2019.06.165

Agyekum, E. B. (2020). Energy poverty in energy rich Ghana: A SWOT analytical approach for the development of Ghana's renewable energy. Sustainable Energy Technologies and Assessments, 40, 100760. https://doi.org/https://doi.org/10.1016/j.seta.2020.100760

Chen, W. M., Kim, H., & Yamaguchi, H. (2014). Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan. Energy Policy, 74, 319–329. https://doi.org/https://doi.org/10.1016/j.enpol.2014.08.019

Brodny, J., & Tutak, M. (2021). Assessing sustainable energy development in the central and eastern European countries and analysing its diversity. Science of The Total Environment, 801, 149745. https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.149745

Rimantho, D., & Putri, G. A. (2022). Jurnal Presipitasi Decision-Making Strategy of Hospital Waste Management Using the TOPSIS Method. Jurnal Presipitasi, 19(2), 341–350. https://doi.org/10.14710/presipitasi.v19i2.341-350

Choi, D., Ahn, Y. H., & Choi, D. G. (2020). Multi-criteria decision analysis of electricity sector transition policy in Korea. Energy Strategy Reviews, 29, 100485. https://doi.org/https://doi.org/10.1016/j.esr.2020.100485

Gazi, K. H., Momena, A. F., Salahshour, S., Mondal, S. P., & Ghosh, A. (2024). Synergistic Strategy of Sustainable Hospital Site Selection in Saudi Arabia using Spherical Fuzzy MCDM Methodology. Journal of Uncertain Systems. https://doi.org/10.1142/S1752890924500041

Mandal, S., Gazi, K. H., Salahshour, S., Mondal, S. P., Bhattacharya, P., & Saha, A. K. (2024). Application of Interval Valued Intuitionistic Fuzzy Uncertain MCDM Methodology for Ph . D Supervisor Selection Problem Results in Control and Optimization Application of Interval Valued Intuitionistic Fuzzy Uncertain MCDM Methodology for Ph . D Supervisor Selection Problem. Results in Control and Optimisation, 15, 100411. https://doi.org/10.1016/j.rico.2024.100411

Adhikari, D., Hossain, K., Chandra, B., Azizzadeh, F., & Prasad, S. (2023). Results in Control and Optimisation Empowerment of women in India as different perspectives based on the AHP-TOPSIS inspired multi-criterion decision making method. Results in Control and Optimisation, 12, 100271. https://doi.org/10.1016/j.rico.2023.100271

Momena, A. F., Mandal, S., Gazi, K. H., Giri, B. C., & Mondal, S. P. (2023). Prediagnosis of Disease Based on Symptoms by Generalized. Systems, 11(231). https://doi.org/10.3390/systems11050231

Kabak, Ö., Cinar, D., & Hoge, G. Y. (2013). A Cumulative Belief Degree Approach for Prioritisation of Energy Sources: Case of Turkey. In In Assessment and simulation tools for sustainable energy systems. Green Energy and Technology, 129, 129-151. https://doi.org/10.1007/978-1-4471-5143-2_7

Rezaei, M. (2022). A Multi-Criteria Decision-Making Approach for Sustainable Energy Prioritization. Environmental Energy and Economic Research, 6(1), 1–19. https://doi.org/10.22097/EEER.2021.292613.1207

Tang, C., Xu, D., & Chen, N. (2021). Sustainability prioritisation of sewage sludge to energy scenarios with hybrid-data consideration: a fuzzy decision-making framework based on full consistency method and fusion ranking model. Environmental Science and Pollution Study International, 28(5), 5548–5565. https://doi.org/10.1007/s11356-020-10544-2

Ren, J., Man, Y., Lin, R., & Liu, Y. (2021). Chapter 16 - Multi-criteria decision making for the selection of the best renewable energy scenario based on fuzzy inference system. In Renewable-Energy-Driven Future, 491–507. https://doi.org/10.1016/B978-0-12-820539-6.00016-9

Alshamrani, A., Majumder, P., Das, A., & Hezam, I. M. (2023). An Integrated BWM-TOPSIS-I Approach to Determine the Ranking of Alternatives and Application of Sustainability Analysis of Renewable Energy. Axioms, 12(2), 159 https://doi.org/10.3390/axioms12020159

Ligus, M., & Peternek, P. (2018). ScienceDirect ScienceDirect ScienceDirect Determination of most suitable low-emission energy technologies Determination of most suitable low-emission energy technologies development in Poland using integrated on District fuzzy Heating AHP-TOPSIS and Cooling development in Poland using integrated fuzzy method Assessing the feasibility method of using the heat demand-outdoor b temperature function for a district heat demand forecast. Energy Procedia, 153, 101–106. https://doi.org/10.1016/j.egypro.2018.10.046

Lin, S., Lo, H., Gul, M., & Lin, S. (2023). An assessment model for national sustainable development based on the hybrid DEA and modified TOPSIS techniques. Complex & Intelligent Systems, 9(5), 5449–5466. https://doi.org/10.1007/s40747-023-01034-2

Aich, A., & Ghosh, S. K. (2016). Application of SWOT Analysis for the Selection of Technology for Processing and Disposal of MSW. Procedia Environmental Sciences, 35, 209–228. https://doi.org/10.1016/j.proenv.2016.07.083

Nyakudya, P., Madyira, D. M., & Madushele, N. (2022). Seeking Circularity: A Review of Zimbabwe Waste Management Policies Towards a Circular Economy. Proceedings of the 5th European International Conference on Industrial Engineering and Operations Management. IEOM Society International, 2113–2121.

Mejjad, N., Moustakim, M., & El Aouidi, S. (2023, October). Tourism-Related Food Waste: Opportunities and Challenges. In Biology and Life Sciences Forum (Vol. 26, No. 1, p. 4). MDPI. https://doi.org/10.3390/Foods2023-15080

Alam, P. F., & Wulandari, S. (2019). Establishing Waste Management System Strategy by Using Competitive Positioning Analysis. In 2018 International Conference on Industrial Enterprise and System Engineering (ICoIESE 2018) (pp. 339-347). Atlantis Press. https://doi.org/10.2991/icoiese-18.2019.60

Pulansari, F., Nugraha, I., & Saputro, E. A. (2022). A Desk Study Based on SWOT Analysis: An Adaptation of Life Cycle Assessment (LCA) in the Pulp and Paper Industry. In MATEC Web of Conferences (Vol. 372, p. 05005). EDP Sciences. https://doi.org/https://doi.org/10.1051/matecconf/202237205005

Wikurendra, E. A., Nagy, I., & Nurika, G. (2022). Strengths, weaknesses, opportunities, and threats of waste management with circular economy principles in developing countries: A systematic review The PICOC (Participant-Intervention-Comparison-). Environ Qual Manage, 32(1), 87–94. https://doi.org/10.1002/tqem.21846

Srivastava, P. K., Kulshreshtha, K., Mohanty, C. S., Pushpangadan, P., & Singh, A. (2005). Stakeholder-based SWOT analysis for successful municipal solid waste management in Lucknow, India. Waste Management, 25(5), 531–537. https://doi.org/https://doi.org/10.1016/j.wasman.2004.08.010

Temel, F.A., Konuk, N., Turan, N.G., Ayeri, T., Ardali, Y., (2018). The SWOT analysis for sustainable MSWM and minimization practices in Turkey, Global NEST Journal, 20 (1), 83-87. https://doi.org/10.30955/gnj.002226

Hwang, C., and Yoon, K. (1981), Methods for Multiple Attribute Decision Making, Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey, Springer Berlin Heidelberg, 58-191., Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3

Saaty, T. L. (1984). The Analytic Hierarchy Process: Decision Making in Complex Environments BT - Quantitative Assessment in Arms Control: Mathematical Modeling and Simulation in the Analysis of Arms Control Problems (R. Avenhaus & R. K. Huber. Quantitative Assessment in Arms Control. 285–308. https://doi.org/10.1007/978-1-4613-2805-6_12

Izzah, S. N., Brugman, E., Baladraf, T. T., & Rachmadita, F. (2023, September). An overview of cocoa nibs shell waste potential to achieve sustainable agriculture. In IOP Conference Series: Earth and Environmental Science (Vol. 1230, No. 1, p. 012028). IOP Publishing. https://doi.org/10.1088/1755-1315/1230/1/012028

Poore, J., & Nemecek, T. (2018). Reducing food’s environmental impacts through producers and consumers. Science, 360(6392), 987-992. https://doi.org/10.1126/science.aaq0216

Jasinska, A., Wojciechowska, E., & Stoknes, K. (2022). Bioconversion of Agricultural Wastes into a Value-Added Product: Straw of Norwegian Grains Composted with Dairy Manure Food Waste Digestate in Mushroom Cultivation. Horticulturae, 8(4), 331. https://doi.org/10.3390/horticulturae8040331

Francavilla, M., Beneduce, L., Gatta, G., Montoneri, E., Monteleone, M., & Mainero, D. (2016). Biochemical and chemical technology for a virtuous bio-waste cycle to produce biogas without ammonia and speciality bio-based chemicals with reduced entrepreneurial risk. Journal of Chemical Technology & Biotechnology, 91(10), 2679–2687. https://doi.org/https://doi.org/10.1002/jctb.4875

Nanda, M. A., Sugandi, W., Wijayanto, A. K., Imantho, H., Sutawijaya, A., Nelwan, L. O., Budiastra, I. W., & Seminar, K. B. (2023). The Waste-to-Energy ( WtE ) Technology to Support Alternative Fuels for Agriculture in the Context of Effective Solid Waste Management in the Jabodetabek Area , Indonesia. Energies, 16(24), 7980. https://doi.org/10.3390/en16247980

Rimantho, D., Hidayah, N. Y., Pratomo, V. A., Saputra, A., Akbar, I., & Sundari, A. S. (2023). The strategy for developing wood pellets as sustainable renewable energy in Indonesia. Heliyon, 9(3), e14217. https://doi.org/10.1016/J.HELIYON.2023.E14217

Lestari, R., Kamandanu, F. A., & Prayitno, H. (2022, January). Global potential market of forest biomass wood pellets. In Universitas Lampung International Conference on Social Sciences (ULICoSS 2021) (pp. 332-338). Atlantis Press. https://doi.org/10.2991/assehr.k.220102.042

Madurai, R., Afridhis, S., & Rajan, R. (2020). SWOT analysis: A framework for comprehensive evaluation of drivers and barriers for renewable energy development in significant countries. Energy Reports, 6, 1838–1864. https://doi.org/10.1016/j.egyr.2020.07.007

Elavarasan, R. M. (2019). Comprehensive Review on India's Growth in Renewable Energy Technologies in Comparison With Other Prominent Renewable Energy Based Countries. Journal of Solar Energy Engineering, 142(3), 30801. https://doi.org/10.1115/1.4045584

Elavarasan, R. M., Shafiullah, G. M., Manoj Kumar, N., & Padmanaban, S. (2019). A state-of-the-art review on the drive of renewables in Gujarat, state of India: present situation, barriers and future initiatives. Energies, 13(1), 40. https://doi.org/10.3390/en13010040