cover
Contact Name
Erifive Pranatal
Contact Email
erifive@itats.ac.id
Phone
+6285275410631
Journal Mail Official
jasmet.journal@itats.ac.id
Editorial Address
Jl. Arief Rahman Hakim No.100, Klampis Ngasem, Kec. Sukolilo, Kota SBY, Jawa Timur 60117
Location
Kota surabaya,
Jawa timur
INDONESIA
Journal of Applied Sciences, Management and Engineering Technology (JASMET)
ISSN : -     EISSN : 27212165     DOI : https://doi.org/10.31284/j.jasmet.2020.v1i1.704
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
Articles 97 Documents
SLOPE STABILITY ANALYSIS IN ANDESITE STONE MINING ROLAS NUSANTARA TAMBANG Ltd. IN PASURUAN REGENCY Yudho Dwi Galih Cahyono; Ratih Hardini Kusuma Putri; Aprilia Dwi Astuti
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i1.2974

Abstract

In mining activities Rolas Nusantara Tambang Ltd. needs to do a slope stability analysis because at that location there has never been a study on the condition of the slopes. In addition, there are several problems that can cause unstable slopes such as slope geometry that is too upright, the presence of discontinuity fields and mining locations that are close to several active volcanoes in East Java, namely Mount Semeru and Mount Bromo so that the potential for earthquakes and vibrations is high and can be affect the stability of the slopes at that location. This study aims to analyze slope stability using the Janbu method in calculating the factor of safety and the Monte Carlo method for the probability of landslides. From the results of the study, the actual slope safety factor (FK) was 1.703 and the probability of landslide (PK) was 0.000% with a slope height of 12 meters and a slope of 850. Then recommendations were given for the overall slope with an overall height of 36 meters and an overall slope of 570, the factor value was obtained. safety (FK) of 2.170 and probability of landslide (PK) of 0.000%. From these results it can be concluded that the slope conditions are in the safe category. 
Production Machine Maintenance Analysis Using the Failure Mode And Analysis Method and Logic Tree Analysis d i P T Symgreen Gresik Gatot Basuki HM
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i2.3183

Abstract

Maintenance of production machines is a production control to maintain the productivity of the production process. PT. Symgreen is a company that produces ice cream sticks. To achieve optimal results, regular machine maintenance is required. The occurrence of damage to the production machine experienced during the production process, in some damage to machine components, so that production results were reduced. The Failure Mode and Effect Analysis method is used to identify the failure mode and overcome the failure mode in every machine breakdown. To determine the failure mode category for the corrective steps that must be taken immediately and the direction of action that must be chosen to overcome the failure mode, LTA (Logic Tree analysis) is used. The results of the analysis showed that there were 4 machines and 2 types of damage based on the components of the production machine, namely the cutting machine the problem was in a broken bearing with RPN 144 in category B, rotary engine gear cracked RPN 125 category B, rotary engine spindle stuck RPN 125 category B, engine champering gear broke RPN 120 category B, printing machine gear cracked RPN 125 category C. P roposed repairs by performing regular maintenance on machine components, compiling work manuals on each machine.Keywords: Failure Mode, Production Machine, FMEA, LTA, RPN.
THE EFFECT OF ROOT GAP ON BENDING TEST USING FCAW WELDING ON SS 400 STEEL MATERIALS AT 3G POSITION Nuzulul Arif; Erifive Pranatal; Iftika Philo Wardhani; Renanda Bayu Harsi
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i2.3644

Abstract

This study aims to analyze the effect of the root gap on bending test of SS 400 steel materials with different thicknesses of 10 mm and 12 mm using FCAW (Flux Core Arc Welding) welding in the 3G Vertical up position without backing ceramic. This study uses quantitative method, and the standard used in the test is ASME section IX (2019). The results of the study concluded that in specimens within the thickness of 10 mm, the highest value was obtained at the root gap variation of 4.4 mm with a bending stress value of: 467.48 MPa. Then on the specimen with a thickness of 12 mm, the highest value was found in a variation of 3 mm with a bending stress value of: 805.37 MPa
Just in Time on Mechanical and Electrical Implementation in Leedon Hotel Surabaya Felicia Nuciferani; Diah Listyaningsih; M. Ferdaus Noor Aulady; M.Irsadul Ibad Adde Santoso
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i2.3045

Abstract

Mechanical electrical and plumbing (MEP) job is a job in construction project and the implementation is conducted after the workers conduct structural work. The use of materials has an important part from project total cost because waste will be happened if it is used uncontrollable. The aim of this study was identifying JIT application to electrical work in Leedon Hotel Surabaya. The condition before the researcher implemented JIT in Leedon Hotel project, it was identified waste caused by design change, lack of coordination between project and Head Office, and materials availability with excess material stocks. The limited size of the warehouse as MEP materials storage made the material storage not optimal and it had potential to be waste. Applying just in time concept had a focus on waste elimination by planning - needs - use in the field based on the application of JIT method in the Leedon Hotel project. Limited warehouse conditions could still carry out material control without using excess material inventory which had an impact on minimizing the emergence of waste.
Technical Study of Sediment Pond Maintenance Scheduling ( Sediment pond) For Guard Quality Sand Wash PT. Gunung Source Fortune Fitra Alif Sairozi; Lakon Utamakno; Yudho Dwi Galih Cahyono
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i2.3809

Abstract

PT. Gunung Sumber Rejeki is a subsidiary of PT. Agung Satrya Abadi which is located at Wonosunyo Village, Kec. Gempol, Kab. Pasuruan, Province. East Java. Gravel sand mining The sale value of natural products (sirtu) can be increased by processing and refining. The feed material is brought to the stone crusher and sand washing plant with the production of stone split 1 cm – 1 cm, 1 cm – 2 cm, 5 cm – 10 cm and sand wash with a silt content of less than 5%. In 1 cycle of pond maintenance, the feed material that can be processed is 1587.15 tons with a maintenance schedule every 6 days in all pond segments. Sludge impurities from the process washing sand flowed into pond one and experienced as much sedimentation 298.5 m 3 /6 days, pool two as much 313.98 m3 / 6 day, pool three as much 365.7 m3 / 6 day, and pool four as much 385.5 m3 / 6 day. Maintenance settling pond very need done because water in a settling pond reused for washing sand so that very influential on quality sand which in earn
A Connection of Optimum Logistic and Energy Consumption in Hiking Sugeng Waluyo; Dewi Tria Setyaningrum; Indro Prakoso; Tigar Putri Adhiana; Rani Aulia Imran
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 2 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i2.3726

Abstract

In this work, we aim to provide a connection between energy consumption during hiking and its relation to optimum logistic preparations in mountaineering-based tourism. Such energy consumption is calculated based on data from hiking track profiles and heart rate of persons taking the track. It is then used as input to solve optimization problems in term of the logistic preparations. Here, we demonstrate such connection based on the actual condition of hiking track in the Mount of Sindoro, Central Java, Indonesia.
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.

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