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Erifive Pranatal
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Jl. Arief Rahman Hakim No.100, Klampis Ngasem, Kec. Sukolilo, Kota SBY, Jawa Timur 60117
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Journal of Applied Sciences, Management and Engineering Technology (JASMET)
Published by Institut Teknologi Adhi Tama Surabaya
ISSN : -     EISSN : 27212165     DOI : https://doi.org/10.31284/j.jasmet.2020.v1i1.704
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Journal of Applied Sciences, Management and Engineering Technology (JASMET) is an international peer-reviewed journal that was launched by LPPM ITATS. It is dedicated to provide a high-level platform in all aspect of science, management and engineering technology Scope of the journal: Engineering, Science and Management
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 6 Documents
 1 
Search results for , issue "Vol 4, No 1 (2023)" : 6 Documents clear
HOSPITAL LENGTH OF STAY PREDICTION WITH ENSEMBLE LEARNING METHODE Dian Puspita Hapsari; Waras Lumandi; Arief Rachman
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4437

Abstract

The hospital length of stay (LoS) is the number of days an inpatient will stay in the hospital. LoS is used as a measure of hospital performance so they can improve the quality of service to patients better. However, making an accurate estimate of LoS can be difficult due to the many factors that influence it. The research conducted aims to predict LoS for treated patients (ICU and non-ICU) with cases of brain vessel injuries by using the ensemble learning method. The Random Forest algorithm is one of the ensembles learning methods used to predict LoS in this study. The dataset used in this study is primary data at PHC Surabaya Hospital. From the results of the simulations performed, the random forest algorithm is able to predict LoS in a dataset of treated patients (ICU and non-ICU) with cases of brain vessel injuries. And the simulation results show a type II error value of 0.10 while the value of type I error is 0.16.
Analysis of Centrifugal Pump Machine Performance Using the Overall Equipment Effectiveness (OEE) Method (Case Study: PT. XYZ) Gatot Basuki HM; Alesandro Sheva Mifthada
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4494

Abstract

Improving performance in a company is a key factor in increasing efficiency and productivity. However, often the improvement efforts made are ineffective because they do not address the root cause of the problem. The Total Productive Maintenance (TPM) concept with its components can clearly identify the root cause of the problem and its contributing factors, allowing improvements to be focused on the appropriate aspects. One method of measuring machine performance used is Overall Equipment Effectiveness (OEE), which calculates factors such as availability, performance efficiency, and quality level. In a case study at PT.XYZ, OEE was used to analyze the performance of distribution pump machines. During the period of August 2022, the OEE value for each pump machine reached 99%, which exceeded the world-class OEE of 85%. However, the analysis showed that Idling Minor Stop Losses was the main cause of losses that affected machine effectiveness, with a percentage of losses reaching 82%.
The Effect of Annealing Temperature and Quenching Media Variations On Heat Treatment Process of Cu-Zn-Al Shape Memory Alloys For Shape Memory Effect and Microstructure Mavindra Ramadhani; Rochman Rochiem; Rizki Rizki; M Arfani
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4486

Abstract

Shape Memory Alloys (SMA) is a material that can return to its original shape after undergoing mechanical deformation. The most commonly SMA material used is the Ni-Ti alloy. However, it is high cost. So that it is necessary to have alternative materials, for instance Cu-Zn-Al. Several studies related to Cu-Zn-Al Shape Memory Alloys have poor mechanical properties. So there further research required in order to determine the heat treatment process of Cu-Zn-Al Shape Memory Alloys. In this study Cu-21Zn-5Al alloys were given heat treatment with annealing temperature variations (425;550;600°C) and cooling media (brine, dry ice). Annealing process affects the mechanical properties and microstructure of the test material. Cooling media results the cooling rate during solution treatment. Tests in this study include hardness test, metallographic test, XRD test, DSC test, and SME test. From the test results, it was found that all the test variables have the Shape Memory Effect. The variable that had the greatest recovery (38.3%) was annealing temperature of 450°C with the cooling solution media using brine. In addition, the most rapid cooling occurs in the brine cooling media.
Analysis of the Effect of Electrode Variation and Current on the Welding Results of Corten A Steel using SMAW Method on Microstructure, Corrosion Resistance, and Mechanical Properties Mavindra Ramadhani; Rochman Rochiem; Muhammad Irsyad Zain
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4488

Abstract

The emission exhaust stack in industries must have good corrosion resistance and heat resistance in both the base metal and the welded joints. Therefore, corten steel is chosen as the base metal for the exhaust stack due to its excellent corrosion resistance and heat resistance, as well as its costeffectiveness compared to other heat-resistant steels. This study aims to analyze the welded joints of corten steel in terms of microstructure, corrosion resistance, and tensile strength using the Shielded Metal Arc Welding (SMAW) method, following the Welding Procedure Specification (WPS). The variables used in this study are the electrode variations using E7016-G and E8016-G electrodes, and the current variations of 90, 105, and 120 A. The results of this study indicate that in the metallography testing, the highest percentage of the perlitic phase is found in specimen B2, which uses the E8016-G electrode and a current of 105A, reaching 41.92% in the weld metal and 29.6% in the Heat-Affected Zone (HAZ). In the corrosion resistance testing, the corrosion rate fluctuates within the 3-hour and 6-hour time ranges, but decreases within the 10-hour time range. The lowest corrosion rate is observed in specimen B2 using the E8016-G electrode and a current of 105A. In terms of mechanical properties, the best results are obtained from the tensile testing and hardness testing of specimen B2 using the E8016-G electrode and a current of 105A.
The Influence of Fiber Orientation and Treatment Variation of Natural Fiber Reinforced Composites on Tensile Strength and Toughness Fandy Prihatna Suhada; Afira Ainur Rosidah; Vuri Ayu Setyowati; Suheni Suheni
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4461

Abstract

Composites using natural fibers are being widely developed and researched, this is because natural fibers are easy to find and abundant. In this study, the natural fibers used were bamboo fiber and banana stems. Banana fiber has good mechanical properties and is easy to find, while bamboo fiber is easy to find and has a low density. In this study, the aim was to determine the effect of fiber orientation and treatment on the tensile strength and toughness of natural fiber reinforced composites using a polyester matrix. The variation of the fiber orientation used is 30o and 90o, and the fiber treatment used is alkali and bleaching treatment. Based on the research results, the 90o angle with fiber bleaching treatment has the highest tensile strength value, which is equal to 37.33 MPa with a modulus of elasticity of 5 GPa. As for toughness through impact testing, the highest value is 2.74 x 10-2 J/mm2 at an angle of 90o with bleaching treatment.
ANALYSIS OF PRE-HEATING TEMPERATURE EFFECT ON SHIELDED METAL ARC WELDING (SMAW) OF BKI GRADE (KI-A) PLATES TO THE TENSILE STRENGTH AND HARDNESS Erifive Pranatal; Noveta Fernaldinatan; Norita Prasetya Wardhani; Adi Kurniawan Yusim
Journal of Applied Sciences, Management and Engineering Technology Vol 4, No 1 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2023.v4i1.4527

Abstract

This study aimed to analyze BKI Grade (KI-A) plate material using the pre-heat process to determine tensile strength and hardness. The method involved welding with shielded metal arc welding (SMAW) type. The pre-heat variations used several temperatures, such as 50⁰C, 120⁰C, 220⁰C, and without heat treatment. The tensile strength obtained specimen without pre-heating had the lowest tensile strength of 442.64 MPa, and the specimen with pre-heating to 220⁰C had the highest average tensile strength of 450.11 MPa. The result showed that tensile strength was proportional to the pre-heating temperatures given. The hardness observation found that the hotter the pre-heating temperature obtained, the higher the hardness value of the base metal and HAZ would obtain. It was different with weld metal which would decrease. From those two parameters, it could be concluded that the most optimal pre-heat temperature was 220⁰C.

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