The Optimization of Operating Parameters on the Reduction of Relative Humidity in a Dehumidifier Dryer Using Response Surface Methodology

  • Iswahyono
    Politeknik Negeri Jember
  • Yossi Wibisono
    Politeknik Negeri Jember
  • Didiek Hermanuadi
    Politeknik Negeri Jember
  • Amal Bahariawan
    Politeknik Negeri Jember
  • Meta Fitri Rizkiana
    Universitas Jember
DOI: https://doi.org/10.23960/jtepl.v15i3.1152-1163
Keywords Dehumidifier dryer, Relative humidity (RH), Response surface methodology
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Abstract

Relative humidity (RH) of the drying air is the main driving force in the drying process, as dry air has a greater capacity to absorb water vapor from the material; therefore, the lower the RH, the faster the drying rate. This study aims to determine the optimal RH point under varying airflow rate, evaporator temperature, and heater temperature, and to identify the most suitable RSM model equation. The research was carried out in three stages: (1) development of a dehumidifier dryer; (2) optimization and modeling using the Response Surface Methodology (RSM) with three factors—airflow rate, evaporator temperature, and heater temperature—and one primary response, namely the RH of drying air, along with an additional response of drying air temperature. Design Expert v13 software with the RSM Central Composite Design (CCD) was used to select optimum process conditions from the combination of operating parameters. The accuracy of heater temperature control was analyzed using relative error. The relationship between variables and the RH response of air entering the drying chamber was modeled as: Y = 14.02 + 0.8154A + 0.7625B – 2.75C – 0.4375AB – 0.0875AC – 0.2625BC + 2.48A² + 3.09B² + 9.83C² (where A = airflow rate, B = evaporator temperature, and C = heater temperature). The optimal RH response of the drying air was 20.263% at an airflow rate of 0.018 m³/s, evaporator temperature of 8.413 °C, and heater temperature of 39.49 °C. Air heating temperature control performed very well, with a relative error of 1.22%, which is below 5%.

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References

Andreyanto, M.F., & Sulistiyowati, W. (2025). Optimizing shrimp cracker production using response surface methodology and root cause analysis to improve quality. Proceedings UMSIDA. https://doi.org/10.21070/ups.7658

Anwar, K., Istiqamah, F., & Hadi, S. (2021). Optimasi suhu dan waktu ekstraksi akar pasak bumi (Eurycoma longifolia jack.) menggunakan metode RSM (response surface methodology) dengan pelarut etanol 70%. Jurnal Pharmascience, 8(1), 53-64. https://doi.org/10.20527/jps.v8i1.9085

Asrate, D.A., & Ali, A.N. (2025). Review on the recent trends of food dryer technologies and optimization methods of drying parameters. Applied Food Research, 5(1), 100927. https://doi.org/10.1016/j.afres.2025.100927

Aziz, M.G.S., Susilo, B., & Sutan, S.M. (2013). Pemodelan dan optimasi variasi suhu dan debit terhadap penurunan nilai relative humidity pada mesin pengering sistem dehumidifier menggunakan respon surface methodology (RSM). 1–11. Accessed on 09 June 2026 from: https://www.scribd.com/document/504890550

Berutu, R., Immanuel, S., Heryanto, A., Nasution, A.H., & Setyawan, E.Y. (2018). Alat pengering pakaian portable dengan memanfaatkan energi panas buangan AC split 1 PK. Jurnal Flywheel, 9(2), 24–29.

Defraeye, T. (2014). Advanced computational modelling for drying processes – A review. Applied Energy, 131, 323–344. https://doi.org/10.1016/j.apenergy.2014.06.027

Djaeni, M., & Sari, D.A. (2015). Low temperature seaweed drying using dehumidified air. Procedia Environmental Sciences, 23, 2–10. https://doi.org/10.1016/j.proenv.2015.01.002

Djamila, S., Bahariawan, A., Warsito, H., Nuruddin, M., & Iswahyono. (2024). Design and performance test of a fluidized bed dryer using dry cold air flow for drying marungga leaves. IOP Conference Series: Earth and Environmental Science, 1338, 012003. https://doi.org/10.1088/1755-1315/1338/1/012003

Djamila, S., Iswahyono, Wibisono, Y., Hermanuadi, D., Supriyono, Bahariawan, A., Faizin, M.A., & Sakdiya, S.A. (2024). Performance of a drying machine utilizing an air dehumidification process for marungga leaves and identification of marungga flour. International Journal of Technology, Food and Agriculture, 1(3), 134–143. https://doi.org/10.25047/tefa.v1i3.5606

El-Mesery, H.S., & El-Khawaga, S.E. (2022). Drying process on biomass: Evaluation of the drying performance and energy analysis of different dryers. Case Studies in Thermal Engineering, 33, 101953. https://doi.org/10.1016/j.csite.2022.101953

Fauzi, R.A., Widyasanti, A., Perwitasari, S.D.N., & Nurhasanah, S. (2022). Optimasi proses pengeringan terhadap aktivitas antioksidan bunga telang (Clitoria ternatea) menggunakan metode respon permukaan. Jurnal Teknologi Pertanian, 23(1), 9–22. https://doi.org/10.21776/ub.jtp.2022.023.01.2

Gomez, R.S., Gomes, K.C., Gurgel, J.M., Alves, L.B., Queiroga, R.A., Magalhães, H.L.F., Pinheiro, L.S.S., Silva, E.J.C., Oliveira, D.S., Moreira, H.W.D., Brito, H.C., Delgado, J.M.P.Q., & Lima, A.G.B. (2023). the effect of air relative humidity on the drying process of sanitary ware at low temperature: An experimental study. Processes, 11(11), 3112. https://doi.org/10.3390/pr11113112

He, C., Wang, H., Yang, Y., Huang, Y., Zhang, X., Arowo, M., Ye, J., Zhang, N., & Xiao, M. (2021). Drying behavior and kinetics of drying process of plant-based enteric hard capsules. Pharmaceutics, 13(3), 335. https://doi.org/10.3390/pharmaceutics13030335

Kodaloglu, A.F., Elbir, A., & Sahin, M.E. (2023). Wool drying process in heat-pump-assisted dryer by fuzzy logic modelling. Thermal Science, 27(4 Part B), 3043–3050. https://doi.org/10.2298/TSCI2304043A

Mujumdar, A.S. (Ed.). (1995). Handbook of industrial drying (2nd ed., rev. and expanded). CRC Press. https://doi.org/10.1201/9780429289774

Nwadike, E.C., Abonyi, M.N., Nwabanne, J.T., & Ohale, P.E. (2020). Optimization of solar drying of blanched and unblanched aerial yam using response surface methodology. International Journal of Trend in Scientific Research and Development (IJTSRD), 4(3), 659–666.

Petro, P., Danial, D., & Taufiqurrahman, M. (2022). Desain alat pengering memanfaatkan panas buang alat pengkondisian udara. JTRAIN: Jurnal Teknologi Rekayasa Teknik Mesin, 3(2), 44–50

Rahmanto, D.E., Subrata, I.D.M., & Sutrisno. (2011). Pemanfaatan panas kondensor AC untuk pengeringan bahan pangan: Studi pengeringan chips kentang. In Prosiding Seminar Nasional PERHETA 2011 (pp. 187–197). Institut Pertanian Bogor.

Rahmawati, I., Fachri, B.A., Nurtsulutsiyah, N., Manurung, Y.H., Reza, M., Palupi, B., Rizkiana, M.F., & Amini, H.W. (2022). Penerapan response surface methodology dalam optimasi kondisi proses ekstraksi antosianin pada limbah kulit kakao dengan metode maserasi menggunakan pelarut etanol. JC-T (Journal Cis-Trans): Jurnal Kimia dan Terapannya, 6(1), 24–31. https://doi.org/10.17977/um0260v6i12022p024

Saptadi, A.H. (2014). Perbandingan akurasi pengukuran suhu dan kelembaban antara sensor DHT11 dan DHT22: Studi komparatif pada platform ATMEL AVR dan Arduino. Jurnal INFOTEL, 6(2), 49–56.

Sudirman, S., Baliarta, I.N.G., Sudana, I.M., Arsana, M.E., Nizhami, A.A., & Apriandi, N. (2023). Aplikasi cooling dehumidification pada mesin pengering untuk mengeringkan hasil panen tanaman herbal. Jurnal Rekayasa Mesin, 18(1), 37–44. https://doi.org/10.32497/jrm.v18i1.4094

Triyastuti, M.S., Finarianingrum, T., & Octaviani, T. (2018). Validasi model pada pengeringan batch pada wortel. Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik, 17(1), 48–53. https://doi.org/10.26874/jt.vol17no1.55

Widarsaputra, A.Y., Prawatya, Y.E., & Sujana, I. (2022). Response surface methodology (RSM) untuk optimasi pengolahan keripik nanas menggunakan mesin vacuum frying. INTEGRATE: Industrial Engineering and Management System, 6(2), 70–77.

Wignyanto, & Lestari, E. (2015). Application of mechanical dryer for strengthening of production capability of “potato crackers” industry to fulfill market demand. Journal of Innovation and Applied Technology, 1(1), 75–81. https://doi.org/10.21776/ub.jiat.2015.001.01.11

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Published
2026-06-29
How to Cite
Iswahyono, I., Wibisono, Y., Hermanuadi, D., Bahariawan, A., & Rizkiana, M. F. (2026). The Optimization of Operating Parameters on the Reduction of Relative Humidity in a Dehumidifier Dryer Using Response Surface Methodology. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 15(3), 1152–1163. https://doi.org/10.23960/jtepl.v15i3.1152-1163