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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Applied Research and Smart Technology (ARSTech)
Sumpena, Sumpena
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Automotive Engineering Computer Science & IT Engineering Materials Science & Nanotechnology Physics

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ICU Patient Prediction for Moving with Decision Tree C4.5 and Naïve Bayes Algorithm Sumpena, Sumpena; Akbar, Yuma; Nirat, Nirat; Hengky, Mario
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.903 KB) | DOI: 10.33395/sinkron.v4i1.10150

Abstract

Critical patients need intensive care and supervision by the medical team in the Intensive Care Unit (ICU), including ventilators, monitors, Central Venous Pressure (CVP), Electrocardiogram (ECG), Echocardiogram (ECHO), medical supply, and medical information that is fast, precise, and accurate. In the ICU treatment room requires data that needs to be processed and analyzed for decision making. This study analyzed the ventilator, CVP and also Sepsis Diagnosis related to the data of moving patients and patients dying. This study also uses the decision tree algorithm C.45 and Naive Bayes to determine the level of accuracy of patient care and supervision information in the ICU. The results showed that the decision tree algorithm C.45 has an accuracy of 81.55% and Naive Bayes of 81.54%. The decision tree C.45 algorithm has almost the same advantages as the Naive Bayes algorithm.
The effectivity of used-oil as quenching medium of 42-CrMo4 steel for automotive materials Hariningsih, Hariningsih; Sumpena, Sumpena; Sukarjo, Heribertus
Applied Research and Smart Technology (ARSTech) Vol. 1 No. 1 (2020): Applied Research and Smart Technology (ARSTech)
Publisher : Department of Mechanical Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/arstech.v1i1.11

Abstract

The research aims to investigate the effect of the cooling medium on the hardness characteristic and microstructure of the 42CrMo4 steel due to hardening treatment at a temperature of 830°C and holding time of 30 minutes. Various oil such as SAE-10W40, SAE-20W50, SAE-40, and used oil was used in the cooling medium. The changes in product size, hardness, and microstructure have been carefully assessed. The results indicated that the viscosity of the coolant medium strongly influenced the cooling rate of the cooling medium, hardness, and microstructure. SAE-10W40 oil and SAE-20W50 oil only needed 2 hours to return within room temperatures before quenching, whereas SAE-40 oil and used oil took 3 hours. The sample size did not change after hardening-quenching. However, there was a residual carbon layer on the sample surfaces. Quenching caused the changes of microstructure from pearlite and ferrite to ultrafine double phase, consisting of martensite and austenite, which were unable to transform during rapid cooling. The highest hardness value was achieved by the treated product, which was quenched in SAE-10W40, which had 54.59 HRC. The high hardness was attributed to the content of 95% martensite. However, used-oil caused in similar hardness as SAE-20W50.
Co-Authors Akbar, Yuma Hariningsih, Hariningsih Hengky, Mario Nirat, Nirat Sukarjo, Heribertus