Teknika STTKD: Jurnal Teknik, Elektronik, Engine

ANALYSIS OF EMPLOYEE WORKLOAD IN THE PRODUCTION DEPARTMENT USING THE FULL-TIME EQUIVALENT (FTE) METHOD AT PT XYZ

Elistia Octaviani — 2024-12-10

In the era of globalization and increasingly fierce industrial competition, operational efficiency has become a key to corporate success. PT XYZ, as a manufacturing company in the packaging production sector, faces challenges in optimizing human resource utilization, particularly in the production department. This study aims to analyze employee workload in the production department using the Full Time Equivalent (FTE) method. The identified issue is the variation in workload levels between production administrative staff and machine operators, which can affect productivity and employee well-being. The FTE method is applied to measure workload based on the frequency and duration of activities. The results indicate that production administrative staff have an FTE value of 1.55, indicating a workload that exceeds the ideal capacity, posing risks of fatigue and decreased work quality. Conversely, machine operators AMS, LT, and MTB are in an optimal condition with FTE values of 0.91 and 0.97, respectively. However, operators on the OMSO machine show a light workload of 0.75, while operators on the BONMAC TCL and CER machines experience overload with FTE values of 1.65. Based on these findings, it is recommended to increase the number of production administrative staff to two and the number of operators on the BONMAC TCL and CER machines to two as well, to prevent excessive workloads. Future research is suggested to explore other factors affecting workload and conduct a more in-depth analysis of employee well-being's impact on productivity. Thus, the application of the FTE method can be optimized to enhance operational efficiency within the company.

COMPARISON OF EXPONENTIAL SMOOTHING METHODS IN FORECASTING THE NUMBER OF PURCHASES OF RAW MATERIALS FOR DOOR PRODUCTS AT PT.

Amelia Purbaningtyas Amel — 2024-12-10

The industrial sector is a productive component for economic development in Indonesia because it has the ability to encourage economic growth. PT X is one of the companies that uses a make to order system. However, in procuring raw materials, PT X does not use forecasting as a basis for providing raw materials. Raw materials will be ordered when the stock in the warehouse reaches a predetermined minimum limit so that raw material shortages often occur when there are product fluctuations. This problem causes production delays and will affect operational efficiency. To follow up on problems that occur, forecasting techniques need to be used as a basis for procuring raw materials. The aim of conducting company forecasting is to increase profitability because raw material purchases are carried out in a planned manner which will open up opportunities to get lower raw material prices through bulk purchases. The forecasting methods that will be used are the single exponential smoothing, double exponential smoothing, and triple exponential smoothing methods. These three methods will be compared in order to get the best forecasting results for each raw material. Based on the calculations and analysis carried out, the Triple Exponential Smoothing method shows the smallest error rate for MDF, hardwood and softwood raw materials with MAPE values of 69.86; 28.51; 35.11. Meanwhile, for plywood raw materials, the method that shows the smallest error rate is the Double Exponential Smoothing method with a MAPE value of 62.38.

DESAIN DAN MANUFAKTUR BOX VACUUM FORMING DENGAN FINITE ELEMENT ANALYSIS

Yuda Nurdiana — 2025-01-06

One of the manufacturing techniques often used in industry to produce various forms of plastic components. The research stage begins with designing a box using Solidworks software, Analysis carried out on the vacuum forming box structure using finite element analysis. The results obtained are in the form of maximum stress that occurs, displacement and safety factor. The vacuum forming box structure is also subjected to a load of 51.878 N or equivalent to 5.2901 kg. The location of the force given to the vacuum forming box structure with a vertical force direction downwards, the displacement that occurs in the vacuum forming box structure with a force of 51.878 N. The largest displacement occurs at the top center of the vacuum forming box surface with a displacement of 0.75 mm. This happens because in that section the area is free or does not have a support in the middle. the safety factor value that occurs in the vacuum forming box structure with a force of 51.878 N. The safety factor value used in this analysis is 1.5. The safety factor value obtained in the vacuum box structure is 1.8. The safety factor value requirement used, then based on the data obtained, the vacuum box structure using plywood material is safe in receiving a load of 51,878 N, because the FOS value obtained is greater than the FOS standard used. In testing the tool using PET plastic with a temperature of 100 ℃ and a time of 30 seconds, the testing process begins with the preparation of the appropriate PET plastic and is placed on the part or mold of the tool to be tested. The temperature of the tool is heated to 100 ℃.

ANALISIS PENERAPAN LEAN MANUFACTURING DAN 5S DI PT ATLANTIC ANUGRAH METALINDO MENGGUNAKAN METODE VSM

Abelia Dhuwi Juwita — 2025-01-21

This study aims to analyze the implementation of Lean Manufacturing and the 5S method at PT Atlantic Anugrah Metalindo, a company engaged in the production of custom metal products. In the era of increasingly intense industrial competition, the company faces challenges in improving productivity and product quality. The method used in this research is Value Stream Mapping (VSM) to map the production process flow and identify areas that require improvement. Data were collected through direct observation, interviews with employees, and the analysis of related documentation. The results of the study indicate that the implementation of Lean Manufacturing and 5S can reduce waste, improve efficiency, and shorten lead time, ultimately contributing to improved production performance and customer satisfaction.

ANALYSIS AND SOLUTIONS FOR DECREASING THE EFFECTIVENESS OF THE AIR CONDITIONING SYSTEM ON THE BOEING 737-900 ER

Bayu Ristiawan Ristiawan — 2025-02-13

The air conditioning system on the Boeing 737-900 ER plays a crucial role in maintaining passenger and cabin crew comfort. However, a decrease in the system’s effectiveness has led to discomfort during flights. This study aims to identify the factors causing the decline in the air conditioning system’s effectiveness and provide technical recommendations to enhance its performance. The research method used is Root Cause Analysis (RCA) with a Failure Mode and Effects Analysis (FMEA) approach. The findings indicate that the primary causes of decreased AC system effectiveness are blockages in the heat exchanger due to debris accumulation and oil contamination, as well as damage to the Air Cycle Machine (ACM), including worn-out turbine blades and bearings. To address these issues, preventive maintenance procedures, routine inspections, and the use of an air conditioning cart while the aircraft is on the ground are recommended to maintain cabin comfort.

OPTIMIZATION OF THE RANDOM FOREST ALGORITHM USING PSO FOR BREAST CANCER CLASSIFICATION WITH MAMMOGRAM IMAGES

Alfreda Cecio Salwa Alexita — 2025-02-13

This research focuses on improving breast cancer classification through a combination of Random Forest and Particle Swarm Optimization (PSO) algorithms. Being the most common cancer among women worldwide, breast cancer requires an effective diagnostic screening method. Traditional methods such as manual examination and X-ray imaging are time-consuming and prone to errors. This research applies machine learning techniques, specifically Random Forest, for image classification based on mammograms. The methodology involves data collection, image preprocessing (including image resize, grayscale, and image segmentation using Sobel Edge Detection and Adaptive Thresholding), feature extraction via Local Binary Pattern (LBP), and classification via Random Forest optimized with PSO. PSO helps to identify the optimal hyperparameters and improves the accuracy of the Random Forest model. Model evaluation is done using confusion matrix which includes accuracy, precision, and recall values. The testing experiment showed that the PSO-optimized Random Forest model achieved an accuracy of 88.37%, outperforming the standard Random Forest model which achieved 86.05%. This shows that PSO significantly improves classification accuracy. This research contributes to the development of an easy-to-use diagnostic tool to assist specialists in accurately identifying breast cancer stages, and suggests future investigations should incorporate additional machine learning algorithms and utilize higher-standard DICOM images to improve training and testing data.

RANCANG BANGUN ALAT TERAPI REMATIK BERBASIS ARDUINO UNO DILENGKAPI DENGAN HEATER PAD

Dimas Riski Saputra — 2025-02-20

Rheumatism, or rheumatoid arthritis, is an autoimmune condition that causes chronic inflammation of the joints, especially in the hands, feet, or other frequently used parts. This inflammation usually causes pain, swelling, and limited movement, which reduces the quality of life of sufferers. One of the therapy methods that is widely used to reduce the symptoms of rheumatism is heat therapy, because heat can improve blood flow, relax muscles, and reduce joint stiffness. This Rheumatism Therapy Tool has 2 features, namely warming the waist with a DC Heater and providing an electrostimulator to the back with a pulse issued by the L298 N module. The temperature inputted into the Arduino IDE program, namely 50o Celsius, is expected to be able to provide warmth and comfort to Rheumatism therapy patients. The 3 modes that are run, namely LOW Mode, Medium Mode and High Mode, provide different pulse delays issued by the L298N driver so that patients can adjust their comfort level. The results of data analysis from measuring the power supply output are 4.51 V, 9% error percentage. Microcontroller input measurement 4.98V, 0.4% error message. The measurement of the L298N driver output is 23.9V, within the specification data range. The measurement of the DC Heater input is 4.98V, the error message is 0.4%. So from the results of the analysis, the tool is suitable for use because it is still within the safe tolerance limit. Based on data collection with an operating time of 15 minutes, the temperature shown on the Tool compared to the thermocouple has a small difference, it can be said that during operation for 15 minutes with a temperature setting of 50 Celsius it operates well and stably. Based on data collection with an operating time of 25 minutes, the temperature shown on the Tool compared to the thermocouple has a small difference, it can be said that during operation for 25 minutes with a temperature setting of 50 Celsius it operates well and stably.

RANCANG BANGUN ALAT MONITORING KUALITAS UDARA DIAREA PENGOLAHAN LIMBAH RUMAH SAKIT

Dhiki Meirza Alfath — 2025-03-04

Decreased air quality caused by air pollution can cause respiratory problems if inhaled for a long period of time. The absence of air quality monitoring equipment in the waste management area means that workers do not know the level of air pollution that occurs in the hospital area. This research aims to create an Air Quality monitoring system in the Hospital Waste Processing Area. The air that will be monitored is Methane, CO, Alcohol and NH4. Data on temperature, humidity, methane gas, alcohol gas, CO gas and NH3 gas are sent via ESP32 to the smartphone and sent directly to Google Sheet in real time, so that data acquisition from this tool is stored properly. Indoor measurements showed that Methane Gas showed an average of 40.9 ppm, then around the IPALL area Methane Gas rose to 81.0, this was because methane gas around the IPALL area had increased. Indoor measurements show that CO gas shows an average of 3 ppm, then around the IPALL area, CO gas increases to 165 ppm, this is because CO gas around the IPALL area has increased. Indoor measurements show that Alcohol Gas shows an average of 1 ppm, then around the IPALL area Alcohol Gas increases to 969 ppm, this is because Alcohol gas around the IPALL area has increased. Indoor measurements show that NH4 gas shows an average of 4 ppm, then around the IPALL area Methane Gas increases to 986 ppm, this is because methane gas around the IPALL area has increased