Modelling Green Production Process in the Natural Dyes Batik Industry Using Cleaner Production Options


  • Siti Ajizah Brawijaya University



Sustainable production policy has encouraged batik industry to switch synthetic dyes to natural dyes. However, the production process still brings negative impacts on the environment as well as on humans. In order to solve this problem, the batik industry needs to develop green production model using cleaner production options. The purpose of this research is to design green production model for greening the natural dyes batik industry. The research was conducted in the natural dyes batik industry “Mbah Guru”. Mbah Guru batik industry is located in Lamongan, East Java. The research used a feasibility study by using Pay Back Period (PBP). The last decision making of cleaner production options was used Bayes Method to assess and determine cleaner production options based on technical, economical, and environmental aspects. The result showed that all of cleaner production options are feasible. "Fertilizer making from natural dyes" had the shortest payback period of 0,057 years and "two steps washing for all washing processes" had the longest payback period of 0,92 years. The highest criterion weight was the environmental aspect of 0.41 and followed by the economical aspect of 0.35. “Natural dyes wastewater reusing” became the most priority of the cleaner production options. The batik industry will be more profitable if it is able to properly implement the recommended process improvements so that the negative impacts, both the environment and on humans, can be minimized.    


Al Rasyid, M. R., & Asri, R. W. P. (2017). Waste Prevention Effectiveness of Batik Production in Yogyakarta, Indonesia. ICoSI 2014, 473–481.

Anonymous. (2005). Cost Analysis for Pollution Prevention. Hazardous Waste and Toxics Reduction Program, Department of Ecology, Washington State.

Apriani, W., Perwira, Y., & Daulay, S. (2020). Expert System of Pest Diagnosis in Passion Fruit Plants using the Bayes Theorem Method. International Journal of Innovative Technology and Exploring Engineering, 9(4), 503–508.

Fauzi, A., & Defianisa, R. (2019). Analysis for cleaner production implementation strategy in batik industry in Bogor Analysis for cleaner production implementation strategy in batik industry in Bogor. IOP Conf. Series: Earth and Environmental Science, 325: 01200.

Gurbuz, S., Kiran-Ciliz, N., & Yenigun, O. (2004). Cleaner production implementation through process modifications for selected SMEs in Turkish olive oil production. Journal of Cleaner Production, 12(6), 613–621.

Handayani, W., Kristijanto, A., & Hunga, A. (2018). A water footprint case study in Jarum village, Klaten, Indonesia: The production of natural-colored batik. Environment, Development and Sustainability, 21(4), 1919–1932.

Handayani, W., Kristijanto, A., & Hunga, A. (2018). Behind the eco-friendliness of “ batik warna alam .” Wacana, 19(1), 235–256.

Hasibuan, S., & Hidayati, J. (2018). The Integration of Cleaner Production Innovation and Creativity for Supply Chain Sustainability of Bogor Batik SMEs. International Scholarly and Scientific Research & Innovation, 12(5), 679–684. Retrieved from

Hunga, A. I. R. (2014). Threat of Ecological Destruction in Home-Based Batik Production: a Narrative of Protecting Domestic Sphere. Jurnal Perempuan: Untuk Pencerahan Dan Kesetaraan, 19(1).

Maulik, S. R., Bhowmik, L., & Agarwal, K. (2014). Batik on handloom cotton fabric with natural dye. Indian Journal of Traditional Knowledge, 13(4), 788–794.

Nurdalia, I. (2006). Kajian dan analisis peluang penerapan produksi bersih pada usaha kecil batik cap. Universitas Diponegoro.

Perbawawati, A. A., Sugiharti, E., & Muslim, M. A. (2019). Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs. Scientific Journal of Informatics, 6(1), 116–124.

Riyanto, O. A. W., Subaderi, & Nafi, A. S. (2019). Penerapan Produksi Ramah Lingkungan Pada Proses Produksi UKM Batik Tulis. Prosiding PKM-CSR, 2.

Sibagariang, R., & Riandari, F. (2019). Decision Support System for Determining the Best Wood For the Production Cabinet in PT.Tanjung Timberindo Using Bayes Method. Jurnal Mantik, 3(3), 99–103. Retrieved from

Sihotang, H. T., Riandari, F., Simanjorang, R. M., Simangunsong, A., & Hasugian, P. S. (2019). Expert System for Diagnosis Chicken Disease using Bayes Theorem. Journal of Physics: Conference Series, 1230(1).

Sirait, M. (2018). Cleaner production options for reducing industrial waste : the case of batik industry in Malang , East Java-Indonesia Cleaner production options for reducing industrial waste : the case of batik industry in Malang , East Java-Indonesia. The 4th International Seminar on Sustainable Urban Development. IOP Conf. Series: Earth and Environmental Science, 106: 01206. :10.1088/1755-1315/106/1/012069

Suhardi, B., Laksono, P. W., & Fadhilah, N. N. (2017). Analysis of Cleaner Production Implementation in Printed Batik at Batik Puspa Kencana SME In Laweyan Surakarta. Jurnal Teknologi Industri Pertanian, 27(2), 182–191.

Susanti, S., & Manahan, O. (2020). Disease Diagnosis Expert System At Chili Plants Using Bayes Method. Journal Of Computer Networks, Architecture and High Performance Computing, 2(2), 292–296.

Syahputra, R., & Soesanti, I. (2016). Application of Green Energy For Batik Production Process. Journal of Theoretical and Applied Information Technology, 91(2), 249–256.

The Industrial Ministry of Republik Indonesia. (2019). Interested in the global market, batik export is targeted to increase by 8 percent. Retrieved August 10, 2020, from,-Ekspor-Batik-Dibidik-Naik-8-Persen

Wardani, M. K., Aulady, M. F. N., Frido, W., & Hendri, S. (2021). Determining the weight of the hammer based on expert experience for estimating load-carrying capacity. IOP Conference Series: Materials Science and Engineering, 1010(1).



How to Cite

Ajizah, S. (2021). Modelling Green Production Process in the Natural Dyes Batik Industry Using Cleaner Production Options. Jurnal Riset Teknologi Pencegahan Pencemaran Industri, 12(1), 39-54.



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