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All Journal Traksi : Majalah Ilmiah Teknik Mesin Kilat International Journal of Marine Engineering Innovation and Research
Denny Murdany Muchsin
PT PLN (Persero)
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Pengaruh Non-Probability Sampling Batubara terhadap Parameter Dry Ash Antara Certificate of Analysis Loading dan Unloading Denny Murdany Muchsin
KILAT Vol 9 No 1 (2020): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.995 KB) | DOI: 10.33322/kilat.v9i1.722

Abstract

Umpire test (referee test) may be conducted by the coal supplier based on the potential loss due to the difference Certificate of Analysis (COA) in both ports (loading and unloading). The purpose of the research was to determine a comparison of COA from non-probability sampling compiled with standard. The research method used quantitative methods by collecting COA data on both ports. These data on the receipt of coal was obtained from a coal-fired steam power plant (PLTU). A Sampling at both ports was conducted by the non-probability sampling method. The assumption was determined that the sample preparation and analysis process had complied with the American Standard Testing and Material (ASTM) standards. The ratio of ash (dry basis) in both COA to its average was processed statistically by taking confidence intervals with a confidence level of 95%. This research showed that the ratio was in the range of 10.213% up to 16.793%, exceeding precision 10% as required by ASTM D2234-16. Therefore, the comparison of COA data from non-probability sampling, could not be used as a reference for the doubt of the work of independent surveyors e.g. COA unloading, then it is technically that umpire test could not be conducted by such comparison.
Perbandingan Data Hasil Metode B&W dan GWC untuk Klasifikasi Slagging Abu Batu Bara LRC Denny Murdany Muchsin
KILAT Vol 10 No 1 (2021): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v10i1.1176

Abstract

Slagging classification is generally listed in coal COA in coal trading transactions using one of the methods of determining slagging classification so that coal is ensured boiler friendly (low/medium classification). The paper aims to prove the tendency of two methods of determining slagging classification (B&W and GWC) on the results of certain classifications in LRC coal. The research method uses a quantitative method by collecting LRC coal COA data on a coal-fired steam power plant for a year of coal receipt (81 lots) issued by a laboratory that has been accredited by KAN (National Accreditation Committee). According to the method of GWC, ashes of entire lots are classified as LRC ash. While the method of B&W, there are 62 lots of ash classified as lignitic ash and 19 lots of ash classified as bituminous ash. This research has shown that the GWC method shows 79 lots of ash (97.53%) has low and medium classification and 2 lots of ash (2.47%) have a high classification; the method from B&W shows 19 lots of ash (23.46%) has a low classification and 62 lots of ash (76.54%) has a severe classification.
CONSTANT EVALUATION OF COAL BULK CARRIER AS TECHNICAL DRAUGHT SURVEY SUPERVISION: A CASE STUDY AT COAL FIRED STEAM POWER PLANT Denny Murdany Muchsin
TRAKSI Vol 23, No 1 (2023): TRAKSI
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/traksi.23.1.2023.%p

Abstract

The difference in cargo quantity between the results of the draught survey in Loading Port and Unloading Port is common thing in coal trading transactions. However, all parties (suppliers, buyers, and surveyors) agreed on a clause in adjusting the quantity of coal to be paid in case of a difference in a quantity exceeding 0.5%. However, the complicated draught survey process has the potential to cause anomalies in the final result. The anomaly existed once we compare precision of cargo quantity among ports with precision of bulk carrier constant among ports. This study aimed to confirm precision of bulk carrier constant be an alternative parameter in on-site supervision. The results of this study had proven that precision of cargo quantity cannot stand alone in on-site supervision. Precision of bulk carrier constant showed 77,6% of 75 shipments we exceed tolerance limit 10%. 
Quantitative Evaluation of Draught Survey Through Correlation Test of Quarter Mean: A Case Study on a Coal Bulk Carrier Denny Murdany Muchsin; Rahmad Setya Darmawan
International Journal of Marine Engineering Innovation and Research Vol 8, No 4 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i4.19162

Abstract

Complicated draught survey activities both at the data collection stage and the calculation stage, especially at sea, make it difficult for surveyors to accurately inform coal cargo volumes. However, in practice, most coal bulk-carrier surveyors can provide precise information on coal cargo volumes between ports up to a difference of less than 0.5%. This difference is not enough to be used as the only parameter in supervising draught survey activities. More effective monitoring needs to be done so that data reliability can be validated. This study aims to propose a new method of off-site surveillance of draught survey activities through correlation tests with a case study on a bulk-carrier ship less than 10 years old in all coal shipments at one of coal-fired power plant during year 2021. The results of the study show that based on the correlation test of Pearson (2-tailed), Spearman (2-tailed), and Kendall (2-tailed), during coal shipments in 2021 both at loading ports and at unloading ports, the interpretation of the quarter-mean as independent variable is at least strongly correlated with both displacement and displacement corrected for density, while the correlation of quarter mean with both net displacement and constant is not significant (negligible).
Co-Authors Rahmad Setya Darmawan