Manual Equipment Research Articles

Perancangan Sistem Pengendalian Suhu Air Pada Shower Therapy Dengan Fuzzy Logic

Therapy is a form of health service to develop, maintain, and restore body movement and function by using manual handling and equipment. One of the therapies that many people need is for relaxation and reducing fatigue. One alternative is to use water as a medium (hydrotherapy). The pressure and temperature of the water used for shower therapy has been shown to provide physiological changes in humans. Shower therapy with warm water is strongly influenced by room temperature. The difference in outdoor air temperature (room) with the temperature of the water for bathing is very large will cause serious physiological problems. Therefore, to prevent the risk of differences in room temperature and water temperature being too large when bathing and/or shower therapy, a water temperature control system is needed that can maintain the temperature difference at a certain level. With a fuzzy logic controller system, the water temperature will be able to be controlled to adjust the outdoor air temperature (room). By adjusting the value of delta (∆) outside air temperature and water temperature, extreme temperature differences can be handled. The prototype of the water temperature control system in shower therapy with fuzzy logic has been successfully created with minimal functions with a water mixer system using solenoid valves. The water mixer can work at a minimum with the water temperature output which is still unstable and less accurate with a fairly high deviation. Setting the value of ΔT >5 produces a more stable water temperature output with an average deviation of <10%. The effect of pressure and water flow has not been seen and has not been observed.

Study on Spray Deposition and Drift Characteristics of UAV Agricultural Sprayer for Application of Insecticide in Redgram Crop (Cajanus cajan L. Millsp.)

Insecticide applications are typically being carried out with traditional manual spraying equipment in redgram, which leads to inadequate control of insects due to higher crop height. The modern deployment of tractor-drawn spray machines causes serious damage to the crop. In this connection, unmanned aerial vehicle (UAV) spray technology has great potential for precise insecticide application in redgram crops. One of the important machine parameters influencing droplet deposition and drift characteristics in UAV sprayers is downwash airflow generated by a multi-rotor propeller. A field experiment was carried out at the redgram research field (N11.01, E76.92), Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, during 2021–2022 to study the spray drift and deposition characteristics of an autonomous UAV sprayer. The Imidacloprid (a.i. 17.8SL) insecticide mixed with water in a ratio of 1 mL per liter was sprayed with a UAV sprayer. Water-sensitive paper samples were kept at upper, middle, and bottom positions on the leaves, and data were analyzed for the spray droplet size, deposition rate, droplet density, and area coverage both in target and non-target areas using Spray Deposit Scanner software. UAV spray droplet deposition rate (2.93 ± 0.17, 2.01 ± 0.08, and 2.21 ± 0.162.38 μL cm−2), droplet density (47 ± 4.04, 53 ± 3.61, and 52 ± 8.74 droplets cm−2), and area coverage (15.72 ± 0.39, 16.60 ± 0.71, and 14.99 ± 0.39%) were highest in the upper layer as compared to the middle layer (droplet deposition rate: 1.21 ± 0.08, 1.07 ± 0.03, and 0.77 ± 0.02 μL cm−2; droplet density: 42 ± 2.52, 43 ± 8.50, and 38 ± 2.52 droplets cm−2; area coverage: 10.95 ± 0.81, 11.22 ± 0.56, and 8.57 ± 0.44%) and bottom layer (droplet deposition rate: 0.41 ± 0.06, 0.35 ± 0.03, and 0.33 ± 0.03 μL cm−2; droplet density: 22 ± 4.36, 17 ± 3.51, and 19 ± 4.51 droplets cm−2; area coverage: 2.78 ± 0.29, 2.95 ± 0.45, and 2.46 ± 0.20%, respectively). In the spray drift test, there was a higher droplet deposition rate (1.63 ± 0.09, 1.93 ± 0.05, and 1.82 ± 0.06 μL cm−2), area coverage (14.40 ± 0.07, 17.54 ± 0.36, and 16.42 ± 0.30%), and droplet density (46 ± 3.61, 54 ± 2.08, and 45 ± 3.21 No’s cm−2) in the target area as compared to the non-target area (droplet deposition rate: 0.88 ± 0.02, 0.46 ± 0.03, 0.22 ± 0.05, and 0.00 μL cm−2; droplet density: 23 ± 1.53, 11 ± 2.08, 6 ± 1.53, and 0.00 droplets cm−2; area coverage: 7.58 ± 0.34, 4.41 ± 0.19, 2.16 ± 0.05, and 0.00%, respectively), which may have been due to the downwash airflow produced by the multi-rotor propeller of the UAV sprayer. Finally, the UAV-based spraying technology results showed that the downwash air produced by the six-rotor propeller improved the penetrability of insecticide to crop leaves and led to a higher droplet deposition rate, droplet density, area coverage, and droplet penetrability on the upper layer, middle layer, and bottom layer of the plants.

A Novel Safety Risk Assessment Based on Fuzzy Set Theory and Decision Methods in High-Rise Buildings

The high-rise construction industry has particular features, such as prolonged construction periods and constant change in the workplace. These features may have turned it into the most dangerous industry, given its significant mortality rate. This research aims to identify effective criteria for high-rise buildings’ safety issues and rank the most critical risks to level up the safety of these projects. This research is divided into two phases: In Phase I, the effective criteria in the literature on the occurrence of accidents are divided into three main classes, and their weights are determined using the best–worst method. In Phase II, the existing risks are ranked using the fuzzy Vlse Kriterijumska Optimizacija Kompromisno Resenje (FUZZY VIKOR) method. The results indicate that safety training and monitoring, which account for approximately 35% of the total weight, are the most influential criteria for risk occurrence. The risk of falling from heights has been ranked first as the most critical safety risk according to the eight criteria, including safety training and monitoring. The total weight of criteria in which falling from height attains the first rank equals 0.688. Damages caused by working with manual tools and equipment have the highest priority in four criteria, and the total weight of 0.1591 attains the second rank. The results of this research comply with the current situation of the construction industry and pave the way for future research on high-rise construction projects.

Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm

Gasoline, as an extremely important petroleum product, is of great significance to ensure people's living standards and maintain national energy security. In the actual gasoline industrial production environment, the point information collected by industrial devices usually has the characteristics of high dimension, high noise and time series because of the instability of manual operation and equipment operation. Therefore, it is difficult to use the traditional method to predict and optimize gasoline production. In this paper, a novel production prediction model using an attention mechanism (AM) based gated recurrent unit (GRU) (AM-GRU) integrating the uniform manifold approximation and projection (UMAP) is proposed. The data collected in the industrial plant are processed by the box plot to remove the data outside the quartile. Then, the UMAP is used to remove the strong correlation between the data, which can improve the running speed and the performance of the AM-GRU. Compared with the existing time series data prediction method, the superiority of the AM-GRU is verified based on University of California Irvine (UCI) benchmark datasets. Finally, the production prediction model of actual complex gasoline production processes for energy saving and economic increasing based on the proposed method is built. The experiment results show that compared with other time series data prediction models, the proposed model has better stability and higher accuracy with reaching 0.4171, 0.9969, 0.2538 and 0.5038 in terms of the mean squared error, the average absolute accuracy, the mean squared error and the root mean square error. Moreover, according to the optimal scheme of the raw material, the inefficiency production points can be expected to increase about 0.69 tons of the gasoline yield and between about $645.1 and $925.6 of economic benefits of industrial production.

PENERAPAN TEKNOLOGI PENGOLAHAN TERASI UDANG BAGI USAHA KECIL MENENGAH DI KABUPATEN BANGKA SELATAN

Tanjung Ketapang Village is a centre for making shrimp paste in the South Bangka Regency. Shrimp paste is one of the superior regional products with quality to be developed to compete in the global market. The stages of processing shrimp paste are drying, mixing salt and then fermentation, pounding shrimp, drying shrimp paste, pounding shrimp paste dough, and molding shrimp paste. The production stages are still carried out traditionally with manual equipment, which requires more energy and time and is less hygienic. The problems faced by the two partners are the production process which is still traditional and manual from beginning to the end of product processing, and conventional marketing systems. Based on problem,s analysis, data were obtained from the technical specifications of the machines needed by partners, namely mixing machines, grinding machines, and shrimp paste drying ovens. The implementation methods applied are identification of partner problems, machine design, machine manufacture and assembly, function testing, training on how to operate and maintain machines marketing management training, and mentoring for both partners. After the implementation of the partner's production process, namely an increase in the production capacity of shrimp paste for the two partners, it was twice as much as the previous production and online marketing media.

Intelligent Identification and Order-Sensitive Correction Method of Outliers from Multi-Data Source Based on Historical Data Mining

In recent years, outliers caused by manual operation errors and equipment acquisition failures often occur, bringing challenges to big data analysis. In view of the difficulties in identifying and correcting outliers of multi-source data, an intelligent identification and order-sensitive correction method of outliers from multi-data sources based on historical data mining was proposed. First, an intelligent identification method of outliers of single-source data is proposed based on neural tangent kernel K-means (NTKKM) clustering. The original data is mapped to high-dimensional feature space using Neural Tangent Kernel, where the features of outliers are acquired by K-means clustering to realize the accurate identification of outliers. Second, an order-sensitive missing value imputation framework for multi-source data (OMSMVI) was proposed. The similarity graph of sources with missing data was constructed based on multidimensional similarity analysis, and the filling order decision was transformed into an optimization problem to realize the optimal filling order decision of missing values in multi-source data. Finally, a neighborhood-based imputation (NI) algorithm is proposed. Based on the traditional KNN filling algorithm, neighboring nodes of sources with missing data are flexibly selected to the achieve accurate correction of outliers. The case experiment was operated on actual power grid data, and the results show that the proposed clustering method can identify outliers more accurately, and the determined optimal imputation sequence has higher accuracy, which provide a feasible new idea for the identification and correction of outliers in the process of data preprocessing.

Penerapan Iptek Mesin Proses Pembentuk Beras Singkong Pada Usaha Kecil Di Desa Rasau Jaya

The target of this service activity is a small business of cassava rice production in Rasau Jaya Dua Village, Rasau Jaya District, Kubu Raya Regency. The problem partners face is improving the quality and quantity of cassava rice production. The production process still uses simple and manual equipment. The service implementation team and partners are looking for solutions to overcome these problems. From the discussion results, the effort will be made to make quality cassava rice products and increase production capacity to add selling value. The solution offered is to improve the production process so that the product is quality and acceptable to the market. Therefore, it is necessary to apply appropriate science and technology in the form of cassava rice forming process machines and drying machines. Using cassava rice forming and drying machines can improve production more effectively and efficiently, resulting in significant and high-quality production capacity. The result of implementing this service activity is that partners get grants for cassava rice forming process machines and drying machines. From the use of appropriate technology, partner income increased by fifty per cent

Penerapan Iptek Mesin Proses Pembentuk Beras Singkong Pada Usaha Kecil Di Desa Rasau Jaya)

The target of this service activity is a small business of cassava rice production in Rasau Jaya Dua Village, Rasau Jaya District, Kubu Raya Regency. The problem partners face is improving the quality and quantity of cassava rice production. The production process still uses simple and manual equipment. The service implementation team and partners are looking for solutions to overcome these problems. From the discussion results, the effort will be made to make quality cassava rice products and increase production capacity to add selling value. The solution offered is to improve the production process so that the product is quality and acceptable to the market. Therefore, it is necessary to apply appropriate science and technology in the form of cassava rice forming process machines and drying machines. Using cassava rice forming and drying machines can improve production more effectively and efficiently, resulting in significant and high-quality production capacity. The result of implementing this service activity is that partners get grants for cassava rice forming process machines and drying machines. From the use of appropriate technology, partner income increased by fifty per cent.

NAMES OF AGRICULTURAL TOOLS IN THE DICTIONARY OF RUSSIAN DIALECTS OF ODESSA REGION

The purpose of this research is to identify and analyze the names of agricultural tools recorded in the Dictionary of Russian dialects of Odessa region (Odessa, 2000–2001, vol. 1–2). The object of study is the dialectal appellatives for agricultural tools. This material was collected during dialectological expeditions of specialists and students of the Faculty of Philology, Odessa I. I. Mechnikov National University for several decades (1960s – 2020s). The subject of the study is the typology of the identified units according to functional and pragmatic features, as well as their etymological and word-formation analysis. The methods of functional, linguopragmatic, sociolinguistic, semantic, etymological, word-forming and quantitative analysis, as well as the descriptive method, are applied. The result of this research is the identification of five lexical-semantic subgroups of the LSG "Names of Agricultural Tools". Conclusions. A total of 278 names of this LSG are recorded in the Dictionary of Russian dialects of Odessa region, which are not found in the multi-volume Dictionary of Russian folk dialects. The largest is the subgroup of names of manual agricultural equipment, tools, and accessories for them (121 units, i.e. 43.5 %). This data indicates a very significant share of manual labor in agricultural production in the northwestern Black Sea region, and, at the same time, a variety of types activities aimed at growing, harvesting and processing crops. The second subgroup is the names of tools used with a horse or traction device (61 units, i.e. 22 %); the third – names of places for storing agricultural equipment, tools, devices and grown crops (42 units, i.e. 15.1 %), the fourth – names of agricultural machines and devices (40 units, i.e. 14.4 %); the smallest is the fifth subgroup – names of means of moving agricultural products (14 units, i.e. 5 %). The studied material testifies to the multi-vector development of polysemy in the group of words called tools of agricultural labor in the Russian dialects of Odessa region. Borrowings from the languages of the peoples who live or lived compactly together with Russians in the adjacent territory in the Odessa region (Ukrainians, Bulgarians, Moldovans, Gagauz, Germans [before 1944]) are also represented among the analyzed lexemes.

Pemberdayaan Masyarakat Melalui Badan Usaha Milik Desa sebagai Sentra Produk Pangan Berbasis Jagung dan Mete

Abstract: Purpose: To increase the knowledge and skills of partners in corn and cashew-based food processing and knowledge of distribution permits, improve the quality and selling value of products using Appropriate Technology, organize the organization and management of food processing, and assess the role of Village-Owned Enterprise (VOE) in community empowerment. Method: Solving partner problems are replacing manual equipment with appropriate technology, counseling, training, assistance in processing corn and cashews, improving organization and management, and assisting in managing distribution permits. The target of the activity is the partner farmer group of the food processing business unit of the Sillu Raya VOE. Results: Achieved were an increase in knowledge about the importance and management of distribution permits, more effective and efficient processed food production processes, mastery of appropriate technology, halal-certified and labeled products, improved structure and management of food processing business units, Sillu Raya VOE have not play an effective role in empowering the community's economy. The knowledge and skills of partners increase, partners master appropriate technology and the selling value of marning corn and various processed cashew nuts increases. Assistance will be by seeking food safety education with resource persons from the Food and Drug Monitoring Agency of East Nusa Tenggara as a condition of obtaining a distribution permit for market expansion. Contribution: To increasing the knowledge and skills of the community so that they are independent in food processing in order to increase the added value of the products produced. Keywords: 1. Community empowerment 2. economy 3. VOE 4. Technology 5. food processing 6. corn 7. cashew 8. organization 9. management

Ergonomics Evaluation for Turning Machinists in Oil and Gas Industry

It was discovered that there were ergonomics risk factors towards machinists during manual handling of large work pieces that may affect the health of the machinists based on the initial ergonomics risk assessment conducted on the CNC turning machine shop in oil and gas manufacturing company. The study aims to determine and improve the ergonomics risk factor that the machinists may be exposed to. In this study, the data were collected and analyzed using Cornell Musculoskeletal Questionnaire, Rapid Entire Body Assessment (REBA) and torque analysis. Survey result from Cornell Musculoskeletal Questionnaire found that most of the turning machinists experienced ache, pain and discomfort on their lower back, right hand shoulder and upper back. REBA analysis indicated that body posture applied during tightening headstock jaws is categorized as very high risk with REBA score of 11 and immediate improvement action is required. The root cause was identified using 5 Why methodology where torque wrench design limitation has been identified as the main contributor to the very high REBA score. The input torque applied by the machinist was reduced, and the location of the tightening torque applied for clamping and adjusting purposes was changed using manual torque multiplier equipment. The input torque applied by machinist reduced from 1200Nm to 44.4Nm, and the pulling force applied was reduced from 128.7kgf to 9.1kgf, significantly lowering the REBA score from 11 (very high risk) to 3 (low risk). The objective of the study has been achieved by significant improvement of REBA score for the very high-risk postures that the machinists are exposed to.

Alat-Alat Kerja Tukang Meja Kayu Memajukan Usaha Keluarga Di Padang Bulan Medan

The current condition of the COVID-19 pandemic has made the economy mostly experience a setback, also experienced by partners, namely the Mulyadi family in Padang Buan, Medan City, not far from the Medan State Polytechnic. Mulayadi, who owns a grocery business selling basic necessities, was forced to close the business because of the declining number of buyers, including due to competition between the same businesses. Next the partners think what to do then turn around and start the table carpenter business. With conventional tools such as hand planers, hand saws, manual chisels and manual painting, partners make wooden tables, and sell them quickly to coffee shops in Padang Bulan around USU. With the help of his son, he tried to offer his wooden table through social media and it turned out that there was a request from the community. As demand from buyers increases, partners find it difficult to meet buyers and are constrained by increasing their business in making wooden tables because they require modern equipment such as electric planers, electric saws, electric drills, compressors, and painting gun units, and partners do not have the money to buy tools. the tool. This was conveyed to the Polmed lecturer to ask for help providing these tools. Then the implementation team carries out a survey, evaluating needs that can improve the work of partners, so that the implementation team of this service aims to help provide carpentry tools and provide training on the use of tools properly and safely. Then the service implementation team made a submission to Polmed through P3M and carried out a service program by handing over tools or machines in the form of 2 electric planers, 1 electric saw, 1 electric drill, compressor and painting gun unit. At the time of delivery, partners said that with manual equipment made of wooden tables as many as 1-2 tables per week, then with the availability of tools provided by Polmed through the chief executive, they could make 4-5 tables per week with more aesthetic ones, and therefore partners' opinions became increase.

Preview the Products on Display at Display Week 2022

Preview the Products on Display at Display Week 2022

Critical Review and Road Map of Automated Methods for Earthmoving Equipment Productivity Monitoring

Monitoring the productivity of construction equipment would help to improve construction productivity, control cost, and discover potential project issues. However, manual equipment productivity monitoring is labor-intensive and inefficient. In recent years, a large number of studies have been conducted to develop automatic methods for equipment productivity monitoring. Numerous technologies were used to estimate equipment operation time, calculate soil quantity, and analyze influence factors, among others. However, there is no recent review paper focusing on equipment productivity monitoring. This paper provides a comprehensive review of automated methods for earthmoving equipment productivity monitoring. A total of 119 related papers are reviewed and 88 papers are categorized based on the method of collecting productivity-related data. In addition, the benefits and limitations of different methods are compared in detail. Finally, a roadmap is proposed to illustrate a path forward for automatic equipment monitoring and productivity analysis. The review is expected to provide future directions that will support the development of full automation in productivity monitoring of construction equipment.

Piezosurgery Versus Conventional Method Alveoloplasty: A Comparative Study.

The conventional alveoloplasty approach which uses manual equipment results in more resorption of the underlying alveolar ridge that makes denture prosthesis unstable. The goal of this study was to compare results of piezosurgery alveoloplasty to those of conventional alveoloplasty. This was an in-vivo comparative study consisting of ten edentulous individuals who needed alveoloplasty due to bilateral bony projection. On one side, a conventional alveoloplasty was performed with a bone rongeur and bone file, whereas the contralateral side was treated with a piezosurgery unit. The clinical parameters were analyzed using SPSS version 21 software including operating time, postoperative pain evaluation on day 3 and a healing on day 7. There was a statistically significant difference between the two groups in terms of outcome variables such as operating time, pain and healing. The Conventional group has a lower mean of operating time, a higher mean rank of VAS and a lower mean rank of healing index compared to the piezosurgery group. Piezosurgery alveoloplasty not only lowers postoperative patient discomfort but also preserves alveolar bone integrity by not disrupting soft and hard tissue architecture thus allowing faster tissue healing and easier prosthesis replacement in the future.

Mobile Device and Software for Automating Body Measurements in Sheep

In sheep farming, the process of body measurement of animals is of fundamental importance, as they are hereditary characteristics, which reflect on meat production and body development. However, breeders still perform body measurements on animals, mostly by manual methods. Theobjective of this article is to present a computational solution, composed of a mobile device for automating data collection in sheep, through sensors, in addition to a software to process and find body measurements. For the proposed solution, the mobile device was built using Arduinotechnology with sensors, and the software was developed in RubyOnRails framework. To validate the computational solution, measurements were made with manual equipment (current solution employed by the producers) and compared using the error to identify the noise caused. Thus, the average relative errors of 7.44 % for withers height, 7.61 % for rump height, 7.19 % for chest girth, 6.45 % for body length, 13.48 % for Weight and 10.76 % for Depth, presenting the mean and standard deviation of automatic measurements close to manual measurements. 
 It is concluded that the body measurements performed in an automated way, allow greater agility in the measurements, in relation to the traditional (manual) measurements, which require a lot of work with the animal in the correct measurement posture and demands time.

IoT-Based Automatic Covid-19 Prevention Temperature and Mask Check Entry System

We will provide COVID-19 home safety can be improved with a cost-effective IoT-based technology that addresses several critical challenges in this study. Non-contact temperature sensing and the second stage is mask detection. The non-contact sensing element subsystem is driven by an Arduino Uno and utilizes an infrared sensor or a thermal camera, whereas the masking subsystem is powered by a Raspberry Pi. Computer vision algorithms are used on camera-equipped computers to perform detection and social distancing tests. Humans are now utilized for temperature screening and mask spotting in public settings to prevent the spread of COVID-19. All scanning entries include temperature testing equipment; however, manual temperature scanning has several limitations. Temperature scanners are not well-known among personnel. There is room for human mistakes when reading values. Regardless of the higher temperatures or the lack of masks, people are frequently given admission. A piece of manual scanning equipment is ineffective in huge groups. As a response, an automated temperature and mask monitoring system is necessary. We depict a profoundly independent temperature scanner and section source framework to conquer this issue. The innovation takes photographs utilizing a contactless temperature peruse and a camera. The scanner is related with a doorway like contraption that thwarts section. Expecting that a high temperature or the shortfall of a cover is recognized, the gadget uses a temperature sensor and camera related with a Raspberry Pi structure to screen the entire collaboration. The major goal of this article is to automate the entire COVID scanning process to reduce the possibility of COVID-19 spreading in densely crowded locations like shopping malls, schools and colleges.

The Impact of Digital Technology on Graphic Designer Profession

The presence of all-digital technology has shifted the way people communicate, work and do activities. Therefore, there is a new perspective or paradigm in seeing and assessing. If in the previous era, to design a work, someone used manual work equipment, accompanied by long and complicated stages and processes. In fact, it can only be done by certain people who have certain skills. In the current era with the presence of digital technology, the stages and work processes have begun to decrease significantly, as well as in the field of graphic design. This is certainly a challenge for someone who works as a graphic designer. The formulation of the problems raised in this study includes the impacts and challenges of the graphic designer profession in the era of digital technology. This research use descriptive qualitative approach. Data was collected through direct observation, interviews, and documentation. Documentation techniques in the field and interviews, allow researchers to analyze data during data collection. The purpose of this research is to answer the impacts and challenges of the graphic designer profession in the era of digital technology. The results of the analysis show that in addition to the positive impact, the development of digital technology on the graphic designer profession also has a negative impact, namely the role of a graphic designer is slowly being replaced by technology itself. Thus, this is a serious challenge for the graphic designer profession, because it involves the continuity of their profession in the future.

Resource Depletion Risk for Medical Equipment: Embracing the Circular Economy.

Resource Depletion Risk for Medical Equipment: Embracing the Circular Economy.

Technical note: Design, development and validation of an automated gas monitoring equipment for measurement of the dynamics of microbial fermentation

The present technical note describes design, development and validation of an automated equipment for measurement of kinetics of gas production during fermentation in glass bottles. The overall repeatability and precision of the developed system was evaluated and compared with the manual gas measurement technique in respect to characterization of the fermentation kinetics of ruminant livestock feeds. Two incubations were carried out, during which the GP of six different feeds was measured with the automated system or manual technique. During a 48-hour incubation period, pressure data were collected at 15-minute intervals using automated equipment, yielding 192 head-space pressure measurements for each bottle. In manual measurement, incubations were performed with the nominal 60-mL serum bottle, and headspace pressure was read using a digital pressure gauge and then released at 2, 4, 6, 8, 12, 16, 24, 36, and 48 hours of incubation. The automated equipment recorded greater GP (+11.5%, over the 48-h incubation) than the manual measurement, and the repeatability and coefficient of repeatability values indicated that the GP data obtained with manual equipment were less repeatable. The automated equipment measures the fermentative GP kinetics with greater precision and repeatability than manual technique.•An automated batch GP equipment was designed, developed and validated, and a comparison was made with GP data obtained manually using a digital pressure gauge.•The automated equipment provided more reliable and repeatable data compared with manual measurement.•The automated equipment is available with lower cost and more functionality.