Evaluating the Performance of LPG 3 KG Filling Machines: An ANOVA Approach to Machine Brand Efficiency (Study case: SPBE Wilayah Sumatera Utara-SAR Medan PT Pertamina Patra Niaga C&T).

  • Nurhayati Yati Universitas Mikroskil
  • Arisman Universitas Mikroskil
  • Hasanal Fachri Satia Simbolon Institut Teknologi Sawit Indonesia
  • Baharis Setia Adisahputra Simatupang Dinas Pendidikan Deli Serdang
  • Pandi Barita Nauli Simangunsong Universitas Katolik Santo Thomas
Keywords: LPG Filling Process, 3 KG LPG Filling Machines, Statistical Analysis.

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Abstract

This study aims to investigate the differences in the average loading order quantities during the LPG 3 Kg filling process, as influenced by the type of filling machine brand. Specifically, the research focuses on three brands of filling machines: KOSAN-215H, DAESUNG-2189, and ELIXIR-217Q, which are utilized at the LPG Filling Stations (SPBE) in the Sumatera Utara-SAR Medan PT Pertamina Patra Niaga C&T. The statistical method employed for analysis is One-Way Univariate Analysis of Variance (ANOVA). A total of 27 observations were collected for each machine brand. The results of the analysis show that the calculated F-Statistic (3.171240679) exceeds the F-Critical (3.11379226), with a P-value of 0.0474111978, which is < 0.05 significance threshold. Therefore, the null hypothesis (H0) is rejected, and the alternative hypothesis (H1) is accepted, indicating that there is a statistically significant difference in the average loading order quantities among the three filling machines. These findings suggest that the loading order quantities differ significantly across the different brands of 3 KG LPG filling machines.

References

[1] Tae Kyun Kim, “Understanding one-way anova using conceptual figures.,” Korean J. Anesthesiol., vol. 70, no. 1, pp. 22–26, 2017, [Online]. Available: https://doi.org/10.4097/kjae.2017.70.1.22
[2] Amiruddin, “Analisis variansi (Anava) dalam penelitian pendidikan,” Univers. Grace J., vol. 1, no. 1, pp. 161–172, 2023.
[3] makeen, “Universal filling machine,” makeenenergy. Accessed: Jan. 10, 2025. [Online]. Available: https://www.makeenenergy.com/products-solutions/lpg-solutions/filing-equipment/bd-ufm-mh_universal-filling-machine-ufm
[4] DSM, “About company Introduction,” Daesung Mechatron CO.,LTD. Accessed: Jan. 12, 2025. [Online]. Available: http://mtsds.com/index.html
[5] Elpiji_Group, “ELIXIR EK 670 C2 Stationary Electronic Filling Machine for Domestic & Industrial Cylinders,” Elpiji (M) Sdn Bhd. Accessed: Jan. 02, 2025. [Online]. Available: http://elpiji-group.com/project/elixir-ek-670-c2-stationary-electronic-filling-machine-for-domestic-industrial-cylinders/
[6] R. Adolph, 済無No Title No Title No Title. 2016.
[7] H. Anysz, Ł. Rosicki, and P. Narloch, “Compressive Strengths of Cube vs. Cored Specimens of Cement Stabilized Rammed Earth Compared with ANOVA,” Appl. Sci., vol. 14, no. 13, 2024, doi: 10.3390/app14135746.
[8] W. Zhang and Y. Qi, “ANOVA-nSTAT: ANOVA methodology and computational tools in the paradigm of new statistics,” Comput. Ecol. Softw., vol. 2024, no. 1, pp. 48–67, 2020, [Online]. Available: www.iaees.org
[9] J. Zhang and Y. Guo, “Examining the Impact of Blended Learning on Test Scores: A Statistical Analysis Using an ANOVA Model,” SHS Web Conf., vol. 190, p. 01019, 2024, doi: 10.1051/shsconf/202419001019.
[10] B. Ukert, M. Lawley, and H. C. Kum, “Geographic disparities in telemedicine mental health use by applying three way ANOVA on Medicaid claims population data,” BMC Health Serv. Res., vol. 24, no. 1, pp. 1–9, 2024, doi: 10.1186/s12913-024-10898-0.
[11] L. Muflikhah, A. Iskandar, N. Yudistira, I. U. Nadlori, and B. N. Dewanto, “High performance of Dengue shock syndrome detection using extreme gradient boosting with ANOVA feature selection,” J. Biotech Res., vol. 16, no. 2011, pp. 22–31, 2024.
[12] N. Kekana, M. B. Shongwe, K. Mpofu, and R. Muvunzi, “Investigation into Process Parameter Optimization of Selective Laser Melting for Producing AlSi12 Parts Using ANOVA,” Appl. Sci., vol. 14, no. 15, 2024, doi: 10.3390/app14156519.
[13] N. M. Likando and M. S. Chipandwe, “Statistical investigation of climate and landfill age impacts on Kupferberg landfill leachate composition: one-way ANOVA analysis,” Discov. Water, vol. 4, no. 1, 2024, doi: 10.1007/s43832-024-00102-z.
[14] F. O. Kolawole, A. T. Ayeni, S. K. Kolawole, O. S. Kolade, and A. F. Owa, “Statistical Models for Predicting Wear and Friction Coefficient of Valve Tappet Using ANOVA,” Tribol. Ind., vol. 46, no. 2, pp. 210–216, 2024, doi: 10.24874/ti.1517.07.23.09.
[15] F. O. Kolawole and S. K. Kolawole, “Statistical model for predicting friction coefficient and wear of duplex CrN/DLC and nano-multilayer DLC-W coatings using ANOVA,” Discov. Mater., vol. 4, no. 1, 2024, doi: 10.1007/s43939-024-00099-1.
[16] M. F. Ijaz, B. T. Nashri, and M. T. Qamash, “Sustainability through Optimal Compositional and Thermomechanical Design for the Al-7XXX Alloys: An ANOVA Case Study,” Sustain., vol. 16, no. 4, 2024, doi: 10.3390/su16041515.
Published
2025-02-07
How to Cite
Yati, N., Arisman, Simbolon, H. F. S., Simatupang, B. S. A., & Simangunsong, P. B. N. (2025). Evaluating the Performance of LPG 3 KG Filling Machines: An ANOVA Approach to Machine Brand Efficiency (Study case: SPBE Wilayah Sumatera Utara-SAR Medan PT Pertamina Patra Niaga C&T). Jurnal Multimedia Dan Teknologi Informasi (Jatilima), 7(01), 103-113. https://doi.org/10.54209/jatilima.v7i01.1099