Analisis Sistem Pengaturan Suhu Air Menggunakan Heater Berbasis Kontrol PID dan Kesalahan (Offset) pada Sistem Pemanas di Industri

Authors

  • Johan Prasetyo Universitas Pamulang
  • Seflahir Dinata Universitas Pamulang
  • Aripin Triyanto Universitas Pamulang
  • Abdurahman Abdurahman Universitas Pamulang

DOI:

https://doi.org/10.55606/jurritek.v4i3.6669

Keywords:

Control PID, Heating System, MATLAB Simulases, Offset, Temperature Regulation

Abstract

Stable temperature regulation is essential in various industries to maintain product quality and energy efficiency. This study analyzed the water temperature regulation system using PID control through MATLAB simulation and the actual implementation using Thermocontrol and PT100 sensors. In the simulation, the PID control parameters used were Kp = 3.0, Ki = 240, and Kd = 60, while the tuning results in the actual implementation were Kp = 3.0, Ki = 0.5, and Kd = 1.2. The simulation results showed that the system could reach the setpoint faster (±330 seconds), but with a high overshoot (±20.8°C). In contrast, the actual implementation shows more stable performance, with a much lower overshoot (±0.8°C) and a time to the setpoint of about ±345 seconds. These differences in performance can be influenced by environmental factors and the physical characteristics of real systems that are not fully reflected in the simulation. Although the simulation provides faster results, the actual implementation is more adaptive to changing conditions and better able to maintain temperature stability. This research can provide important insights into the development of more effective and reliable temperature control systems for industrial applications, as well as demonstrate the importance of proper tuning in PID control systems to achieve optimal performance.

Downloads

Download data is not yet available.

References

Abdin, H.Z. (2001). Geodesi Satelit. Departemen Teknik Geodesi, Institut Teknologi Bandung, Bukit Ligar, Bandung Utara.

Abidin, H.Z. (2007). Penentuan Posisi dengan GPS dan Aplikasinya. PT Pradnya Paramita. Jakarta.

Adhitiaputra, R. (2013). Mekanisme Kalibrasi Terestrial Laser Scanner. Bandung: Institut Teknologi Bandung.

Asof, M., Triando, A., & Puspita, M. (2023). Analisis Mining Recovery Penambangan Batubara Akibat Pengotor pada Seam A2 dan B di PT Bara Alam Utama.

Buznǎ, E., & Cernea, D. (1991). Atitudine terapeuticǎ în neuropatia opticǎ prin alcool metilic. Oftalmologia, 35(1), 39–42.

Bakri, M. (2017). Penerapan Data Mining Untuk Clustering Kualitas Batu Bara dalam Proses Pembakaran Di PLTU Sebalang Menggunakan Metode K-Means.

Chan, E. C. L., Baciu, G., & Mak, S. C. (2009). Using wi-fi signal strength to localize in Wireless sensor networks. Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009, 1, 538–542.

Estey, L., & Wier, S. (2014). Teqc Tutorial: Basics of Teqc Use and Teqc Products. Boulder, Colorado U.S.A.: UNAVCO.

Fadly Robby, R., Sukmono, A., & Bashit, N. (2020). Pengaruh Kelas Kelerengan Tanah terhadap Persentase Selisih Perhitungan Volume Data Terrestrial Laser Scanner dan Foto Udara Unmanned Aerial Vehicle.

Ghilani, C. D. (2010). Adjustment Computations: Spatial Data Analysis (5th ed.). John Wiley & Sons. New Jersey.

Ramadhan, G., Susanto, R., & Fadilah, R. (2020). Perbandingan Hasil Pengukuran Volume Stockpile Batubara Menggunakan Metode Fotogrametri UAV dan ETS (Electronic Total Station).

Hermanto, & Sujiman. (2019). Manajemen Kegiatan Penumpukan Batubara Pada Stockpiledi PT. Alamjaya Bara PratamaKabupaten Kutai KartanegaraProvinsi Kalimantan Timur.

Kristianie, Y., Usup, H. L. D., & Ferdinandus. (2023). Perhitungan Volume Timbunan Batubara Menggunakan Unmanned Aerial Vehicle (UAV) di PT. Mitra Barito Lumbung Energi Site PT. Kalimantan Prima Nusantara (KPN).

Kuang, S. (1996). Geodetic Network Analysis and Optimal Design: Concept and Application. Ann Harbour Press, Inc, Chelsea, Michigan.

Maulidin, R. F. (2016). Studi Penentuan Volume Dengan Total Station Dan Terrestrial Laser Scanner. (Doctoral dissertation, Institut Teknologi Sepuluh Nopember).

Mukhlas, (2014). Pembuatan Digital Surface Model (DSM) dari citra foto Unmanned Aerial Vehicle (UAV) menggunakan software Agisoft. Skripsi. Tidak Diterbitkan.

Panuntun, Hidayat. (2012). Penentuan Posisi Anjungan Inyak Lepas Pantai dengan Titik Ikat GPS Regional dan Global. Tesis. Program Studi Teknik Geomatika Universitas Gajah Mada.

Parhusip, M., Ernawati, R., & Cahyadi, T. A. (2021). Evaluasi Settling Pond pada Area Run of Mine (ROM).

Priyantha, N. B., Chakraborty, A., & Balakrishnan, H. (2000). Cricket location-support system. Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, 32–43.

Riswanto, E. (2009). Evaluasi akurasi klasifikasi penutupan lahan menggunakan citra ALOS PALSAR resolusi rendah: Studi kasus di Pulau Kalimantan. Skripsi. Bogor: Institut Pertanian Bogor.

Rotinsulu, W., Sihombing, S., & Siahaan, D. (2018). Pemantauan perubahan tutupan lahan untuk memahami mekanisme perubahan dan dampaknya terhadap lingkungan dan ekosistem. Jurnal Sumberdaya Alam dan Lingkungan, 8(2), 123–135.

Sampurno, R. M., & Thoriq, A. (2016). Klasifikasi tutupan lahan menggunakan citra Landsat 8 Operational Land Imager (OLI) di Kabupaten Sumedang. Jurnal Samudra Geografi, 3(1), 1–10. https://doi.org/10.33059/jsg.v3i1.1985

Setiawan, B., Arsyad, S., & Sutikno. (2018). Evaluasi tipe pemanfaatan lahan pertanian dalam upaya mitigasi kerusakan lahan di Desa Giritirta, Kecamatan Pejawaran, Kabupaten Banjarnegara. Vegetalika, 7(2), 1–15.

Sumartini, S.H., & Purnami, S.W. (2015). Penggunaan Metode Classification and Regression Trees (CART) untuk Klasifikasi Rekurensi Pasien Kanker Serviks di RSUD Dr. Soetomo Surabaya. Jurnal Sains dan Seni ITS, 4(2), 211-216.

Sutanto, R. M. (1986). Penginderaan Jauh Jilid I. Gadjah Mada University Press.

Sutanto, R. M. (1994). Penginderaan Jauh Jilid I. Gadjah Mada University Press.

Stuckenberg, T., dkk. (2013). Multi-temporal Remote Sensing Land-cover Change Detection for Biodiversity Assessment in the Berg River Catchment. 2(3), 189–205.

Tanjung, R.H., & Kartiko. (2017). Penerapan Metode CART (Classification and Regression Trees) untuk Menentukan Faktor-faktor Yang Mempengaruhi Pembayaran.

USGS. (2016). Landsat 8 (L8) Data Users Handbook. Dipetik pada tanggal 10 Juli 2024 dari https://www.usgs.gov/landresources/nli/landsat/landsat-8-data-users-handbook.

Viera, A.J., & Garrett, J.M. (2005). Understanding Interobserver Agreement: The Kappa Statistic. Family Medicine.

Walidaroyani, A., & Kadir, S.F. (2023). Analisis Tutupan Lahan menggunakan GEE dengan Metode Supervised Classification (Studi Kasus Bendungan Karangkates Kab. Malang). Vol 6. No. 1. Jurnal Riset Mahasiswa Bidang Teknologi Informasi.

Wulansari, H. (2017). Uji Akurasi Klasifikasi Penggunaan Lahan dengan Menggunakan Metode Defuzzifikasi Maximum Likelihood Berbasis Citra ALOS AVNIR-2. Sekolah Tinggi Pertahanan Nasional. Repository.

Zurqani, H. A., Post, C. J., Mikhailova, E. A., Schlautman, M. A., & Sharp, J. L. (2019). Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation, 69, 173–182. https://doi.org/10.1016/j.jag.2018.10.016

Downloads

Published

2025-09-06

How to Cite

Johan Prasetyo, Seflahir Dinata, Aripin Triyanto, & Abdurahman Abdurahman. (2025). Analisis Sistem Pengaturan Suhu Air Menggunakan Heater Berbasis Kontrol PID dan Kesalahan (Offset) pada Sistem Pemanas di Industri. JURAL RISET RUMPUN ILMU TEKNIK, 4(3), 250–264. https://doi.org/10.55606/jurritek.v4i3.6669