TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika

Analysis of the strength of the frame construction on the nyamplung bean peeling machine using the finite element method

2024-07-31T03:05:07+00:00

The frame of the nyamplung bean peeling machine is a very important component in this design, the frame functions as a fulcrum for the mechanical and electrical components. The problem that occurred during observations was that when testing the nyamplung bean peeling machine at maximum rotation, the frame experienced vibrations. The aim of this research is to determine the stress distribution and deflection resulting from static loading on the frame of the Nyamplung bean peeling machine and to compare hollow tube materials with angle iron, which of these two types of material is more efficient. The framework structure was designed and analyzed using Solidwork 2021 software. There are several tests used, but most often the computational method is used using the Finite Element Method (FEM). In frame 1 calculations using housing and crusher loading of 50kg. The results of the simulation obtained a bending strength of 18 N/mm2, while manual calculations obtained a result of 19.94 N/mm². Permissible stress in ASTM A36 material 160 N/mm². The displacement in manual calculations was found to be 0.120 mm, whereas using simulation it was 0.077 mm. In frame 2 the results obtained from manual calculations were with a bending stress of 13.84 N/mm². And with simulation the results obtained were 13 N/mm², and the displacement in manual calculations was obtained at 0.117 mm, whereas using simulation it was 0.08 mm

Designing attributes of a multifunction table using the kansei engineering method

2024-07-31T03:05:16+00:00

CV JAYA MAKMUR is a company that produces rattan processing and produces furniture made from rattan and wood. This CV can produce 60 pieces of furniture per month and the delivery is 10 tables. The tables produced are ordinary tables generally available on the market. This research aims to obtain a design and prototype of a multifunctional table that is comfortable and practical for consumers using the Kansei Engineering method. The contribution of this research is to help declare Kansei Engineering as a method of processing values as input into product attributes as output. Kansei Engineering's development is a consumer-oriented ergonomics technology that is used to translate consumer feelings as a basis for developing new products. This provides an alternative, namely creating a product design that produces a multifunctional table product that allows achieving this function at a minimum total cost without reducing the quality of the product. Kansei Engineering is needed to produce products that meet consumer needs

UI UX design in smart home automation applications using the design thinking method

2024-08-05T03:00:58+00:00

As technology advances, one issue that needs to be taken into account is the consumption of power resources as one of the supports. Technology use needs to be balanced with resource management for electricity use. Furthermore, there is electrical energy waste due to the community's growing requirement for electricity usage. Changes must be taken, such as utilizing energy-saving technologies or moving to ecologically friendly items, to help reduce the usage of electricity resources. Creating applications that are eco-friendly and encourage energy savings is one way that many application developers are now addressing the issues at hand. One such way is by utilizing smart home technology (Smart Home). The design thinking methodology is applied while creating interface design, specifically in the areas of UI and UX design. Every step of the design thinking process—empathize, define, ideate, prototype, and test—will encounter loops indefinitely until a specific circumstance is satisfied. Figma is the tool used in this application to build UI/UX design. By keeping an eye on devices that are no longer in use and tracking potential cost savings, the application design outcomes should be able to lower the use of electrical resources.

Strategy planning for optimization of production facilities in manufacturing companies

2024-10-10T10:12:09+00:00

PT. XYZ is a steel manufacturing industry that operates in the field of Engine and Valve spare parts with Investment Casting production. The number of product requests that fluctuates every year causes PT. XYZ needs to design optimization of production facilities to meet demand. However, with the investment value required being quite high, there is a need for analysis related to optimizing production facilities for the long term. This research aims to determine the strategic planning of operations and business planning needed to increase production capacity and to determine the corrective steps taken to increase production capacity. This research uses a long-term planning method, namely strategic planning, where with Strategic Planning you can plan organizational goals in detail regarding determining strategies, policies, and strategic programs needed to ensure that strategies and policies have been implemented. Apart from strategic planning, investment value analysis is carried out using Return of Investment (ROI) to measure the level of profit that the company invests in capital. Strategic planning begins by looking at the strengths and weaknesses of the company's current condition using the SWOT method, then continues with operational and business planning, quality policy and planning, quality costs, as well as monitoring and evaluation. The reengineering points in this research are related to strategic planning on optimizing production capacity and investment. Previously 50% of production capacity was planned to be carried out by vendors, whereas after reengineering the focus was on 90% of production capacity provided by internal

Combination of lime stone and fly ash in the adsorption of iron (Fe) metal from coal acid mine drainage

2024-08-11T23:28:05+00:00

Coal mining activities often produce acid mine drainage characterized by low pH values below 5 and high concentrations of heavy metals including iron (Fe). If the water is not managed properly, it can impact the environment due to the influence of acidity and high concentrations of dissolved metals. This research aims to utilize the combination of activated limestone and fly ash by heating at 110°C for 3 hours for acid mine drainage treatment, namely neutralizing pH and adsorbing heavy metal Fe. The selection of adsorbent materials was based on economic considerations, abundant availability, and utilization of fly ash waste. The method used was batch adsorption experiments with contact times of 30 and 60 minutes. Acid mine drainage from coal mine with initial pH 4.55 and Fe metal concentration 7.58 mg/L. The adsorbent combination of limestone and fly ash in the ratio of 1:1, 1:2, and 2:1. From the experimental results, it was obtained that the adsorbent combination was able to neutralize pH up to 6 and remove Fe up to 1.35 mg/L was the ratio of 1:2 with a stirring time of 30 minutes. So it can be concluded that adding fly ash dose 2 times compared to the dose of limestone is more effective to raise the pH value and remove Fe heavy metal, because the higher the dose given, the more ion adsorption sites will be available

The workload analysis for the mackarel cracker industry's workers uses the full-time equivalents method

2024-08-22T00:52:13+00:00

Kerupuk Ikan Tenggiri Cap Kuda Laut is one of the fish-based cracker industries. The industry is located at Pangkalan Brandan, North Sumatra, Indonesia. The fish-based cracker industry employs 15 workers and six workstations, which include fish processing stations, fish grinding stations, kneading stations, printing stations, frying stations and packing stations. According to the observations, there is an unequal division of worker, which can result in an inappropriate workload for the worker. This study aims to analyze workers' workloads as a basis for determining the optimal number of workers. The full-time equivalent (FTE) method simplifies the measurement of work by aligning the number of people required to complete a specific job with the hours of workload. The study's findings revealed that one worker at the grinding stations had an overload, three workers in fish processing, two workers in kneading, three workers in frying and printing had normal workloads. Also at the packaging station there are 3 workers with an underload

Analysis of mental burden of students based on NASA-TLX at DAYAH DMA

2024-08-12T01:42:52+00:00

One of the organizations in Aceh that deals with religious instruction and learning is Dayah DMA. Students who pursue higher education and are enrolled in religious education institutions are known as mahasantri, and they are thought to possess greater physical and psychological development than students in regular schools. No doubt learning in two distinct locations has different job demands, which could put more strain on Mahasantri's mind. This study aims to determine the causes of high mental load on mahasantri and investigate potential disparities in mental burden according to gender, status, and class levels. Purposive sampling is used in this study to handle primary data from 56 mahasantri respondents who completed questionnaires as part of a quantitative approach. According to the research that was done, 50% of mahasantri, or 28, report having a significant level of mental strain. Physical demand has the highest impact on mahasantri's mental burden, accounting for 18.35% of the total. Subsequently, an independent sample t-test conducted with SPSS version 26 was employed to statistically evaluate the average mental burden score to ascertain whether mental burden varied according to gender, status, and class level categories. The burden for gender and status categories did not differ, according to the results. But in terms of mental load, there was a notable variation for the class level category

Effect of wind speed on evaporation rate in air conditioner based desalination units

2024-08-12T02:14:41+00:00

Due to environmental changes, ensuring access to clean water is challenging for many regions. This study examines how wind speed influences seawater evaporation rates in a desalination system. Conducted indoors, the research varied wind speeds (0.6 m/s, 0.7 m/s, and 0.8 m/s) while maintaining a consistent temperature. A modified window Air Conditioner (AC) served as the evaporation unit, with its condenser immersed in water to utilize released heat, and its evaporator used as a condenser. Water temperature was maintained at 60-70°C. Results demonstrated a significant increase in evaporation rates with higher wind speeds. The strong correlation between experimental and theoretical results underscores wind speed as a critical factor in enhancing freshwater production efficiency from seawater. These insights inform the design of more effective desalination systems, offering potential solutions to water scarcity challenges in vulnerable regions

Utilization of green shellfish (perna viridis) waste as an alternative material for brick production in sustainable construction

2024-11-15T04:38:07+00:00

Based on initial observations, information from green clam shell collectors that the production of green clams in Kampung Kerang Hijau, Cilincing, North Jakarta, can reach 5 tons/day when the condition of the clams is abundant and can reach 1 ton/day when the condition of the clams is declining. Based on this number, until now green mussels are only used for their meat to be consumed by the community and the waste accumulates in landfills and causes an unhealthy environment for the surrounding community. Based on this background, as an effort to reduce green clam shell waste, improvements need to be made. The purpose of this study is to be able to determine the optimal formulation/composition of green clam shell powder in the manufacture of bricks and to determine the characteristics/properties of bricks produced through testing rules. The method used in this study is an experimental method, carried out by making samples, testing samples, and drawing conclusions with comparative techniques against standards. The results obtained in this study are the optimal composition to produce good quality bricks, namely by using a mixture of 10% fine shell powder on sand. The characteristics or properties of the resulting bricks are with a compressive strength value of 10.26 N/mm2, water absorption of 16.45%, and resistance to nails (not broken or cracked)

Quality control using the failure mode effect and analysis to reduce defects in PT. NSP

2024-08-22T03:13:12+00:00

This research is to analyze service quality and customer satisfaction to find out the factors of consumer/customer complaints so that company performance can be improved and improved. This research uses the Servqual method, the company can then find out consumers' perceptions and expectations, while the company's AHP method is able to sort out which criteria are prioritized first to improve service quality so that the hospital becomes better. The results of the research were conducted with a sample of 100 respondents and 20 question items. In calculating the weighted servqual, the priority for improving the quality of service in the Tangiable dimension is the criterion "The company has a clean, comfortable waiting room and air conditioning" with a weighted servqual value of -0.020, Reliability is the criterion "doctor's availability according to schedule" with a weighted servqual value of -0.058 , Responsiveness is the criterion of "officer's thoroughness in providing services" with a weighted servqual value of -0.074, Assurance is the criterion of "guaranteeing timeliness of service" with a weighted servqual value of -0.096, Emphaty is the criterion of "officer's sincerity in handling consumers" with a weighted Servqual value of -0.072. The most satisfactory criterion is the Reliability dimension which has the criteria "fast and uncomplicated service procedures" with a weighted servqual value of -0.010.

Product quality control by implementing statistical process control in qobidh cassava chip MSMEs in Tebing Tinggi City

2024-08-23T09:54:35+00:00

Globalization has become the main driver for the wave of information and technological innovation, stimulating the transformation of consumers to become more sensitive to quality standards and the value of the products offered. This research aims not only to explore how quality control utilizes sophisticated statistical tools in curbing the level of product defects in the corporate environment, but also as an important milestone in understanding the dynamics of change in an increasingly connected era of globalization. This research uses the Statistical Process Chart method. In an effort to control quality, statistical analysis becomes the main weapon, with check sheets and histograms acting as navigation that leads to understanding complex data. The control chart p becomes a sentinel that monitors the traces of defective products, keeping them within the desired statistical control limits. However, it is not enough to simply observe; The next step is to explore the root of the problem, which is depicted through a cause-and-effect diagram that details the factors of materials, labor, machines and production methods as the main determinants of the success or failure of a product. The analysis results show that even within control limits, real challenges arise from factors that are the main triggers for product damage, such as remaining pieces which cause damage of 29,160 grams, followed by damage due to crushing of 2,900 grams. From here, conclusions and recommendations develop, guiding improvement steps to ensure quality standards are maintained, in line with increasingly stringent and diverse global market demands

Analysis of service quality on customer satisfaction using the service quality method and analytical hierarchy process

2024-08-30T10:25:13+00:00

This research aims to analyze service quality and customer satisfaction to find out the factors of consumer/customer complaints so that company performance can be improved and improved. This research uses the Servqual method, the company can then find out consumers' perceptions and expectations, while the company's AHP method can sort out which criteria are prioritized first to improve service quality so that the hospital becomes better. The results of the research were conducted with a sample of 100 respondents and 20 question items. In calculating the weighted servqual the priority for improving the quality of service in the Tangible dimension is the criterion "The company has a clean, comfortable waiting room and air conditioning" with a weighted servqual value of -0.020, Reliability is the criterion "doctor's availability according to schedule" with a weighted servqual value of -0.058 , Responsiveness is the criterion of "officer's thoroughness in providing services" with a weighted servqual value of -0.074, Assurance is the criterion of "guaranteeing timeliness of service" with a weighted servqual value of -0.096, Empathy is the criterion of "officer's sincerity in handling consumers" with a weighted Servqual value of -0.072. The most satisfactory criterion is the Reliability dimension which has the criteria "fast and uncomplicated service procedures" with a weighted servqual value of -0.010

Impact of infill pattern and line width on tensile strength of PLA FDM 3d printing

2024-09-21T21:12:10+00:00

Mechanical properties of Fused Deposition Modelling (FDM) 3D-printed products are a top priority in prosthesis manufacturing. Damage to 3D-printed products is often caused by the low mechanical strength when subjected to loading. Many parameters can influence the strength of the printed product during the process, including the infill pattern and line width. The infill pattern and line width serve as benchmarks for product quality, making it important to understand the impact of printing parameters to achieve optimal product strength. This study aims to analyze the mechanical properties of 3D-printed products through tensile testing with variations in infill pattern and line width. The method used to determine the mechanical properties is tensile testing. The tensile test samples were made using a Creality Ender 3 Pro 3D printer. The printing parameters were varied with three patterns: cubic, line, and triangle, as well as two infill line widths: 0.4 mm and 0.5 mm. The tensile test results showed significant differences in the variations of infill pattern and line width. The highest tensile strength was obtained with the line pattern and 0.5 mm line width, with an average tensile strength of 28.85 MPa, while the lowest value was observed with the cubic pattern and 0.4 mm line width, with an average of 27.63 MPa. These findings can serve as a valuable reference in the printing of prosthetic products using FDM 3D printing

Cryptographic security analysis of the shift password method using the google colab application

2024-09-22T14:11:00+00:00

The study of information security methods to prevent unauthorized parties from reading it is known as cryptography. The Caesar Cipher method is a low-tech yet well-established cryptography technique. One of the earliest and most basic cryptographic methods is the Caesar Cipher, which substitutes a different letter with a specific alphabetic difference for each letter in the text. The Caesar Cipher is simple to comprehend and use, but it has a lot of flaws that leave it open to frequency analysis and brute force attacks. The purpose of this study is to use the Google Colab tool to examine the cryptographic security of the Caesar Cipher technique. In this study, Google Colab—a platform that offers a robust and user-friendly Python programming environment—was utilized to construct and evaluate the Caesar Cipher algorithm. This study design combines an experimental strategy with a descriptive method. The Caesar Cipher technique is put into practice, encryption and decryption simulations are run, and character frequency analysis and brute force assaults are used to analyze security flaws. The study's findings demonstrate that the character distribution pattern is preserved when character frequencies in the original and encrypted text are seen, making it simple for attackers to use frequency analysis to crack the password. This suggests that, in the context of high information security, the Caesar Cipher should not be used. Shift passwords are therefore inappropriate for use in contemporary security applications due to their serious flaws

Omni wheel robot movement exploration using a control system for military surveillance with integrated sensor

2024-10-01T07:14:43+00:00

Industry 4.0 is bringing about a rapid advancement in technology, particularly in the military industry. This robot was designed to reduce danger to TNI members while monitoring military operations more swiftly and safely. The application of IMU sensors for acceleration movements, measurement of control system error values, and trajectory tracking with multiple pathways are the three modes of the robot control system observed in this study. We assess each of these modes using an analytical observational method. In addition to an MPU 6050 ultrasonic and gyro sensor to detect movement using an accelerometer and gyroscope, the robot is equipped with a rotational encoder sensor to link the DC motor rotation. The PID control approach uses inverse kinematics to regulate the DC motor. The exam is administered on a track that has squares, triangles, and circles as obstacles. According to test results, the tachometer's inaccuracy rate in RPM is about 1.2% higher than the rotary encoder. The movement success percentage for the omni-wheel robot is 89.31%. Square trajectories have an average error rate of 11%, circular trajectories of 15%, and triangular trajectories of 4.17%. The motor rotation speed is most stable along the triangle path. Overall, this study demonstrates the accuracy and speed with which a mobile omni-wheel robot equipped with a control system can peek. This could raise military operations' level of efficiency and safety

Sentiment analysis study of library services using support vector machine methodse

2024-10-01T07:15:31+00:00

Academic institutions' libraries contribute significantly to students' success by giving them access to the information resources they need. Sentiment analysis of library services is crucial in the current digital era to comprehend student perspectives and enhance service quality. The purpose of this study is to assess how XYZ University students feel about the library services thereby applying the Support Vector Machine (SVM) technique. Data obtained through a survey utilizing a Google Form is used in this study to analyze sentiment using the SVM algorithm. Preprocessing steps include data cleaning, normalization, tokenization, stopword removal, and stemming. Eighty percent of the data were used to train the SVM model, while twenty percent of the data were used to test it. The evaluation findings demonstrated that the SVM model could classify sentiment with a 90% accuracy level. This result was confirmed using an accuracy, precision, recall, and F-measure metrics confusion matrix. The sentiment analysis's findings revealed that most students had a favorable opinion of the library's services, particularly when it came to the staff's effectiveness and the facilities' cleanliness. But there are still certain areas that require work, including managing noise and adding more pertinent book selections. To increase overall library user happiness, it is advised to put in place a program that focuses on enhancing the quality of a quieter learning environment and providing a selection of books that meet the needs of students

Implementation of predictive maintenance in various Industry: A Review

2024-10-02T08:54:20+00:00

Predictive maintenance has become a crucial approach in the manufacturing industry, offering solutions to minimize downtime, optimize maintenance costs, and enhance operational efficiency. This paper reviews the definition, objectives, benefits, and implementation of predictive maintenance in the manufacturing sector. By leveraging advanced technologies such as the Internet of Things (IoT), machine learning, big data analytics, and cloud computing, predictive maintenance enables real-time monitoring of equipment conditions and failure prediction before they occur. The objectives are to reduce operational costs, increase equipment reliability, and optimize production performance. The benefits include reduced frequency and duration of downtime, lower repair costs, extended equipment lifespan, and improved workplace safety. Case studies discussed show that companies adopting this technology experience increased production efficiency and reduced maintenance costs. The conclusion of this paper suggests that companies invest in technology and infrastructure, develop employee skills, integrate systems, collaborate with technology providers, and conduct continuous monitoring and evaluation. With these steps, companies can more effectively implement predictive maintenance and achieve competitive advantages in an increasingly dynamic market

Implementation and analysis of hybrid communication for monitoring and control for android-based smart farming

2024-10-20T01:43:26+00:00

Farmers are forced to water each crop individually or wait to switch off the water pump. to avoid this, water management needs to be optimized—that is, it needs to be done on schedule, in the appropriate quantity, and throughout a wide area in an effective manner. That is hybrid communication between online and offline communication. To run this system will use 3 nodes, for details 1 node in the irrigation section, 1 node in the monitoring section of land and soil quality, and 1 node in the section to control data or can be said to be a semi-server to give commands to 2 nodes offline. To see if the system still communicates with each other and runs according to the block diagram that has been designed, an Android application will be made to monitor the system. Where if there is a failed data update or data change in the results of the automation system, a notification will come out to check the system as a whole. To support this research, several sensor calibrations were carried out which resulted in an average accuracy level above 90 percent. For the overall system test, 10 experiments were carried out at different times to see the reliability of the system

Smart army robot design as a monitoring and negotiation media based on artificial intelligence

2024-10-31T14:01:36+00:00

Salah satu komponen paling penting dari upaya penyelamatan sandera adalah kesepakatan tentang pembebesan sandera. Kesalahan petugas dalam mengambil tindakan selama proses negosiasi dapat membahayakan keselamatan personel dan petugas serta korban yang disandera. Kurangnya komunikasi sering menyebabkan konflik yang berbahaya yang dapat menghambat penyanderaan. Untuk mengatasi masalah ini, kami merancang robot negosiasi khusus yang dipersenjatai untuk memastikan keselamatan dan keamanan petugas dalam menjalankan tugas, baik dalam situasi perang maupun operasi pembebasan sandera. Dengan memiliki senjata, petugas yang bertanggung jawab atas keselamatan korban dapat melakukan tugas mereka tanpa mengorbankan keamanan pribadi mereka. Robot militer ini memungkinkan negosiasi dan pemantauan tanpa mengancam nyawa, memberikan pendekatan yang lebih efisien dan aman. One of the most important components of hostage rescue efforts is an agreement on hostage release. Mistakes by officers in taking action during the negotiation process can endanger the safety of personnel and officers as well as victims being held hostage. Lack of communication often leads to dangerous conflicts that can hinder hostage taking. To overcome this problem, we designed a special negotiation robot that is armed to ensure the safety and security of officers in carrying out their duties, both in war situations and hostage release operations. By having a weapon, officers responsible for the safety of victims can carry out their duties without compromising their personal safety. These military robots enable negotiation and monitoring without threatening lives, providing a more efficient and safer approach. Additionally, the robot's ability to operate autonomously with the help of artificial intelligence allows for quicker assessment of the situation and more appropriate responses, thereby increasing the chances of success of a rescue mission without increasing risks for the humans involved. The robot is also equipped with advanced sensors and machine learning algorithms that can detect changes in a hostage taker's behavior and body language, providing valuable information to the negotiation team to devise more effective strategies. Thus, the implementation of this technology not only increases the security and efficiency of military operations, but also paves the way for further innovation in the use of robotics and Artificial Intelligence in various aspects of defense and security