Office Equipment Research Articles

Имитационное моделирование воздушно- капельного пути передачи респираторных вирусов в стоматологической практике

Objective. In simulation modeling, to study the airborne transmission of respiratory viruses to medical personnel during dental treatment of patients. Materials and methods. During the complex treatment of chronic periodontitis with the use of a bacteriophage preparation, a simulation of the airborne respiratory infection viruses was performed. The spread of the staphylococcal phage was evaluated in 50 air samples and 190 flushes from the doctor, his personal protective equipment, tools and environmental objects by a modified Grazia method on the target bacteria of non-pathogenic Staphylococcus xylosus. The identification of the bacteriophage was carried out in PCR. Results. In the complex treatment of periodontitis in patients using bacteriophages, it was detected in 84.00% [95% CI 63.92–95.46] dental office air samples with maximum frequency in the patient's treatment area, the doctor's and assistant's areas (100.00% [95% CI 47.82–134.48]). The bacteriophage equally contaminated the inner surfaces of the medical mask and the nasal cavity of the doctor (p = 0.62). The maximum amount of phage was isolated from dental equipment: air-water syringe ((35.30 ± 10.55)·107 PFU/ml) and an ultrasonic scaler ((23.02 ± 7.72)·107 PFU/ml). Conclusion. The use of aerosol-generating procedures in the treatment of dental diseases is accompanied by intensive contamination by viruses of the air of the dental office, environmental objects and personal protective equipment, which determine the high risks of infection of medical care workers. Key words: aerosol generating technologies, bacteriophage, airborne transmission, medical care workers, patients, dentistry

PV-glass interfaces for the Syndicate of Engineers building in Latakia

Building Integrated Photovoltaics (BIPVs) systems are a promising and innovative technology that has gained significant attention in the last decade. These systems aid buildings in meeting their energy demands, thereby addressing the rising energy needs. This case study was conducted on the Engineers Association Branch in Latakia.The experimental method was used to calculate the needed electrical loads, it was found that replacing 74m² of south-facing traditional glass windows of the Syndicate of Engineers building, with polycrystalline photovoltaic windows (P-Si), will produce 59.2 kilowatts, which is a sufficient amount to cover the total electrical load for the lighting and the operating office equipment, this mean to have a zero-energy building over a period of 30 to 35 years, in addition to save 65000kg of CO2 for the 30 later years. This study is particularly important in Syria's reconstruction phase, which will involve the construction of numerous tower buildings with large glass facades, where space for installing solar panels may be limited on the roofs, Therefore, the integration of solar panels in the facades is the ideal solution to cover the needed loads.

Efficacy of Energy Conservation Measures and Building Energy Intensity of a Multi-Building Complex in Malaysia

As Malaysia continues to develop at a fast pace, the number of buildings in this country rapidly increases. Commercial buildings which include office buildings are one of the three major energy consuming sectors, which includes industrial and transportation sectors. Most Malaysian government office buildings tend to consume energy inefficiently due to lack of energy optimization. This study aims to analyse the energy performance as well as the factors that influence energy consumption in government office buildings. The chosen buildings for this case study are six government office buildings located in Kuala Lumpur, the capital of Malaysia. In this study, literature review has been conducted on the common factors affecting energy consumption in office buildings. The energy consumption data of the buildings were collected and analysed by comparison among the buildings and the SketchUp software. The Building Energy Intensity (BEI) of each building was also calculated using the formula in MS 1525:2019. Literature review and results from the case study show that air-conditioning system is the major energy consumer in office buildings, followed by lighting system while other office equipment consumed the least energy. The findings also highlight that energy consumption in office buildings is affected by non-design factors such as building occupants’ behaviour, number of building occupants, outdoor temperature as well as passive design factors such as building orientation and window-to-wall ratio. Recommendations were derived based on the findings from literature review and the case study for best practices to optimize energy consumption in government office buildings in Malaysia.

Penilaian Risiko Ergonomi Pada Lingkungan Kerja Perkantoran Menggunakan Metode Rapid Office Strain Assessment (ROSA)

Computerization has entered almost all fields of work, one of which is the office workstations. The interaction of workers with computers in daily work activities cannot be avoided from various problems, one of which is the problem of employee occupational safety and health. Ergonomic hazards and risks that arise from work that requires interacting with computers are caused by workers doing repetitive work with high intensity with awkward postures and without being supported by an appropriate work environment. PT XYZ is a type of finance or financing company. All activities in the completion of work in the operational department use a computer. From the observation results, it was found that there was the use of office equipment that did not meet the rules and awkward posture of workers, and improper arrangement of the workplace. This study aims to assess the ergonomic risks that exist in the operational department with the Rapid Office Strain Assessment (ROSA) method. The ROSA method is used to measure the interaction of workers on area workstations. The assessment is divided into three sections. Section A, the interaction of workers with chairs; section B, the interaction of workers with monitors and telephones; and section C, the interaction of workers with the mouse and keyboard. The final results of the measurement will be classified in four levels: low risk, medium risk, high risk, and very high risk. The results showed that the workplace in the operational section of PT XYZ was included in the high category. The high risk of ergonomics is due to the condition of the chair that does not meet the rules of ergonomic.
 
 Keywords: Ergonomic; Rapid Office Strain Assessment (ROSA); Office Work Stations

SISTEM INFORMASI MANAJEMEN DISTRIBUSI STUDI KASUS PT ARDERAMA MANDIRI

PT. Arderama Mandiri is a company engaged in distribution and importation, handling printed goods, office equipment, musical instruments, computer accessories, software, and more. Since 2011, the company's delivery scope has expanded significantly. With the increasing number of consumers placing orders, the company has encountered issues such as customer complaints about long delivery times and difficulties in the warehouse department with monitoring deliveries. To address these challenges, it is necessary to develop a system that can effectively monitor the distribution of goods. The Website-based Distribution Management Information System is designed using the waterfall Software Development Life Cycle (SDLC) method, which includes six stages: System Engineering, Analysis, Design, Coding, Testing, and Maintenance. This approach involves analyzing the problem with Unified Modeling Language (UML), designing a solution in the form of a wireframe for the information system, and then proceeding to the Coding stage where the system is built using PHP and the Laravel framework.

Seleksi dan Penentuan Third Party Logistik Transportasi Produk Pelumas Menggunakan Metode TOPSIS dan PROMETHE

Selection of Third Party Logistics (3PL) services is an important focus of attention for companies in selecting suppliers in their supply chain. The wide marketing area of PT PETRONAS's lubricant products demands 3PL performance to increase the company's service level. The purpose of this study is to analyze the decision-making process in the context of selecting 3PL transportation suppliers using the TOPSIS and PROMETHE multi-criteria methods. The type of data used consists of primary data and secondary data through library research, interviews, and field surveys. The process of selecting a transportation 3PL is carried out in two stages, namely selection of criteria and the commercial aspect of the bidding price per region is evaluated as the basis for selecting the best supplier. The selected suppliers are PT Wira Logitama Saksama, PT Glory sogotrans Mandiri, PT Iron Bird Logistik, PT Sumisho Global Logistik, and PT Dunia Express Transindo. Based on the results of the analysis using the PROMETHEE method, five criteria with the highest weight were produced, namely Price, Time Delivery, Health Safety Management, Infrastructure and Office Equipment. The results of the ranking using the TOPSIS method for shipping to each destination are that PT Wira Logitama Semesta is the best supplier for five shipping destinations, namely Jabodetabek, Bandung, Surabaya, Lampung and Medan and PT Iron Bird Logistik is the best supplier for shipping to Cilegon and Semarang.

Emergency Management in Building Based On 3D BIM and GIS Technology

An emergency route is a route designed for human use to save themselves from dangerous situations. However, if it is considered trivial, this has unknowingly led to an increase in accidents. The provision of emergency routes on a community scale in indoor areas in terms of time is rarely discussed in emergency evacuation studies. This study aims to investigate the emergency route in the building due to the environmental factors of the closed area and the arrangement of office equipment. The method of this study is divided into two sub-sections, namely data preparation and data analysis process. Demographic data and physical interactions were used as the selection of walking speed criteria while the use of geometric data to see the actual plan route position of the building. 3D building models are built through Revit software and then converted to industry foundation classes format (.IFC) and then to multipatch shapefile (.shp) to be integrated into ArcGIS software. This is intended for the use of the data analysis process that is to build a geometric network model (GNM). GNM is designed to determine the safest and shortest routes by taking into account a variety of obstacles based on the scenario conditions. The findings shows that the evacuation time is influenced by the speed and distance of the route. 80% of the safest route selection takes a long time compared to the shortest route, while 20% is the same distance and time for the shortest and safest route because route selection is the same. The findings able to be used as a reference and guideline to determine the selection of emergency routes, especially in complex buildings.

COVID-19 prevention, control and management during dental care in a school clinic

This study investigated the effectiveness of physical and mechanical barriers in the prevention, control and management of COVID-19 during dental care. In this cross-sectional study, two research students from the eighth period of the dentistry course performed 24 consultations from January to June 2022, in the 4 specialties under study: surgery (S), restorative dentistry (D), endodontics (E) and periodontics (P). For each specialty researched, there were 3 groups: control (CG), which adopted the current biosafety norms of the Federal Council of Dentistry (FCD); with circular shield (G1) and with rectangular shield (G2). For each specialty, the researcher performed 6 dental appointments, whose patients were chosen by lot to which group they would participate, so that the distribution wasequitable between the groups. Aerosol stains were found around office equipment, as well as on professionals' personal protective equipment (PPE) and close to the patient. The maximum distance found from aerosol splashes to the naked eye was 1.43m during prophylaxis procedures in the CG. In all groups, most of the splashes were found on the PPE used by professionals, especially on gloves, in the professionals' wrist region; on the patient, on the apron and neck. There was no statistically significant difference between the groups within the specialties (p-value > 0.05), disregarding the comparison between pairs. It was concluded that there was dissemination of aerosol droplets in all dental visits in the 4 specialties studied. Although the PPE proposed by the FCD are effective as a physical barrier to reduce cross-infection and the spread of droplets and aerosols, as well as a preventive measure against COVID-19 during dental care, the professional can use other devices that demonstrate effectiveness, such as the circular screens and the acrylic box, during the dental procedures.

KLASIFIKASI BUAH SEGAR DAN BUSUK MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK DENGAN TFLITE SEBAGAI MEDIA PENERAPAN MODEL MACHINE LEARNING

CNN (Convolutional Neural Network) is one of the type of Deep Learning algorithm that can accept input in the form of images, or objects such as fruit, animals, office equipment, and so on. This CNN works is inspired by the neuron system in humans based on visual perception. The CNN model can be implemented into the Android system using TFLite. TFLite is a Machine Learning library specially designed for Android devices to create Machine Learning models in small binary and low latency. This can make it easier for Machine Learning researchers to use smartphones to develop the research system. Current technological advances make the fruit industry no longer use the manual fruit sorting process carried out by humans. The process of sorting fruit that is fit for consumption (fresh) and unfit for consumption (rotten) can reach hundreds and thousands, so it needs the help of machines to increase work speed. This fruit sorting process can be circumvented by creating a Machine Learning model that can classify fresh and rotten fruit which will then be processed by the system based on the desired output requirements. If the model can perform the classification well, then the fruit industry can take steps to make an automatic sorter by implementing the model into its system. This study aims to create a model with the CNN (Convolutional Neural Network) Algorithm and design a prototype system that can classify fresh and rotten fruit (red apples, bananas, and mandarin oranges) and apply the resulting model using TFLite on an Android Smartphone. The results indicated that the resulting prototype model can be used by users in the Android system. The results of the training model obtained an accuracy value of 98.20%. Meanwhile, the results of testing showed that the model can classify images from the same or different sources by 91.65% from 1090 images. These results indicate that the model is included in the excellent classification category.

IMoFE@tree (Instructional Materials for Office Furniture and Equipment @ Linktree)

iMoFE@tree (Instructional Materials for Office Furniture and Equipment @ Linktree)

Local Government Strategies in Improving the Quality of Public Services in Muara Ponaq Village Office, Siluq Ngurai District, Kutai Barat

The main problem of this research is the strategy of the Local Government in Improving Public Services in Siluq Ngurai District, West Kutai Regency. The sub-problems are 1) the Local Government's Strategy for Improving the Quality of Public Services in Siluq Ngurai District, West Kutai Regency, and 2) the Supporting and Inhibiting Factors of the Local Government in Public Services in Siluq Ngurai District, West Kutai Regency. The research design is classified as a qualitative descriptive study with a management approach. The data sources used are primary and secondary. The data was collected by using observation, interviews, and documentation techniques. Data analysis techniques include data reduction, presentation, comparative analysis, and conclusion. The results showed that the local government's efforts in improving the quality of public services at the Muara Ponaq office, Siluq Ngurai District, West Kutai Regency, included adjusting to the Muara Ponaq village regulation concerning the Medium Term Development Plan (RPJM Desa) 2016- 2022 CHAPTER V and trying to meet the quality dimensions services at the Muara Ponaq local government, which is a servant of the Muara Ponaq community, in particular, continues to strive to improve the welfare of the community from all aspects, one of which is the religious/spiritual aspects of the community. The supporting factors of the local government in improving the quality of public services at the Muara Ponaq government office, Siluq Ngurai District, and West Kutai Regency are the professional work of the staff, cohesiveness between government members, and the completeness of equipment in the local government office. The inhibiting factor for the local government in improving public services at the Muara Ponaq office, Siluq Ngurai District, and West Kutai Regency is assistance to the community, which is limited in number, and employee salaries which are obtained every six months. The implications of this research are delivered to the local government in carrying out its duties as a public service to maintain professionalism and carry out the rules that have been set to improve public services and welfare. With some obstacles in serving the community, it is hoped that the local government can deal with them and find a way to answer society's challenges.

Organizational Support Factors for Minor League Baseball Player Development

This study examines organizational support in the context of minor league baseball to better understand how organizations can support athletes’ development. Exploratory results show that English and Spanish players identify salary/pay, off-season training opportunities, and nutritious food as their most important unmet development needs. English and Spanish respondents differently prioritized playing opportunities, communication with front office staff, health care, and equipment as unmet needs. Explanatory results show that organizational support factors (private problem support and second career support) explain 17% of the variation in minor league baseball players’ self-perceptions of development. The results provide guidance for Major League Baseball and its affiliates as they restructure the development system and for non-profits seeking to help players. Better pay and other financial support appear to be the most critical unmet needs where organizations can better support athletes.

Microalbuminuria and Hypertension among Immigrants with Type 2 Diabetes: A Community-Based Cross-Sectional Study

This study examined the association of microalbuminuria (MAU), as determined by albumin-to-creatinine ratio (ACR), with hypertension (HTN) among Turkish immigrants with type 2 diabetes (T2D) living in deprived neighborhoods of The Hague, Netherlands. A total of 110 participants, physician-diagnosed with T2D, aged ≥ 30 years were recruited from multiple sources from The Hague, Netherlands in a cross-sectional design. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured using automated office blood pressure equipment. Urine albumin was measured by immunoturbidimetric assay. Urine creatinine was determined using the Jaffe method. MAU was defined as ACR ≥ 3.5 mg/mmol for females and/or ACR ≥ 2.5 mg/mmol for males. MAU was present in 21% of Turkish immigrants with T2D. Adjusted logistic regression analysis indicated that the odds of having MAU were 6.6 times higher in hypertensive than those that were normotensive (p = 0.007; 95% confidence interval [CI]: 1.19, 36.4). These findings suggest that HTN and MAU may be assessed as a standard of care for T2D management for this population. Prospective studies of diabetes outcomes are recommended to further verify these findings.

Economic and financial role of depreciation

This article is a research on the economic and financial role of depreciation. Depreciation is seen as the recognition of a decrease in the value of an asset resulting from use, time, change in technique or anything else. The depreciation of an asset represents the difference between its gross value and its net book value. The difficulties in measuring this depreciation lead to the spread over a probable lifetime of the value of goods normally depreciable according to a depreciation plan. If the current value is significantly lower than the value calculated according to the depreciation plan, the loss is recorded either by way of exceptional depreciation, the remainder of the depreciation plan being modified accordingly, or by a provision when this depreciation is not considered final. Thus, depending on the priorities of the company, the costs can be treated as depreciable fixed assets, or as expenses. The company can charge the purchases of materials and tools, software, office equipment and furniture whose unit price does not exceed a certain threshold. There are two options available to the company, namely: pass its investments in fixed assets or treat them as an expense. These two situations are made possible thanks to the economic and financial role of depreciation.

Technical support customer satisfaction research

Technical support services of IT companies provide services for support, installation and configuration of software, as well as technical services for the repair of computers, office equipment, servers, etc. The article presents the results of a study to identify significant factors that determine user satisfaction with the work of a technical support service. The instrument of this study is the DEMATEL multi-criteria decision-making method. As experts in the selection of factors for analysis and evaluation of the mutual influence of factors, the technical support staff of the company, whose activities are related to the use of computer technology and information technology, acted as experts. It is concluded that the most significant impact on the satisfaction of technical support customers is provided by such factors as "complexity and complexity of the task performed", "speed of solving the problem", "time to wait for the first response" and "working conditions of the support service". Based on the analysis, problems in the work of the company's support service that affect the decrease in customer satisfaction are systematized and possible ways to solve them are given.

A Review of Green Public Procurement in the EU

Public authorities are major consumers in Europe. Each year they spend approximately 2 trillion euros, equivalent to some 19% of the EU’s Gross Domestic Product on the purchase of goods, such as office equipment, building components and transport vehicles; services, such as buildings maintenance, transport services, cleaning and catering services and works. By promoting and using "Green Public Procurement (GPP)" public authorities can drive the market to greener products and services, achieving an important reduction of the environmental impacts. Within the EU public procurement is subject to a number of sources of Community law. In addition, there are common criteria for the adoption of Green Public Procurement in specific sectors (i.e. copying and graphic paper, office IT equipment, cleaning products and services, transport, construction, etc.) and a number of sources of interpretation of the relevant laws and principles (i.e. the "Buying Green handbook"). On the review of GPP the work team firstly analyzed the EU strategic policy, and then chose a series of examples to evaluate the implementation of GPP, illustrate how public authorities have made greener purchasing a reality and provide guidance to others. The evaluation included some of the most interesting case studies related to different countries (i.e. Netherlands, Denmark, Sweden, Malta, Austria, Belgium, Spain, Switzerland, Slovenia, Bulgaria, Latvia, France, UK, Germany, Greece, Finland, etc.) and collected by European Commission over the years. According to the results of the evaluation the benefits associated with GPP are not limited only to environmental impact, but can include everything from social and health to economic and political benefits. Today even if the concept of GPP has been widely recognised as a useful tool, it remains a voluntary instrument. Member States should be encouraged to draw up Action Plans for greening their public procurement. Among other, the coming years should be a growing political commitment at national, EU and international level.

E-therapy during a pandemic in Poland and worldwide - a temporary trend or a new reality?

Aim: The purpose of this article was to present the benefits and difficulties of online psychotherapy and to highlight the ethical context of this form of therapy.
 Concept. Conducting psychotherapy online is not a new phenomenon. However, the spread of this form of therapy has changed in recent years and for that reason, the literature on e-therapy focused on the period just before and during the Covid 19 pandemic was analysed.
 Results and conclusion. Despite the initial costs associated with implementing e-tools and training psychotherapists, e-therapy is a financially beneficial mode of operation for institutions. On the other hand, a barrier may be the quality of equipment and Internet connections available in offices and insufficient staff training.
 For patients, the benefits of e-therapy are primarily related to easier access to services. Both increased time flexibility and reduced mobility barriers are essential, especially when combined with financial savings. However, attention should be paid to patients with limited network competence or difficulty accessing equipment or the Internet. The spread of e-therapy may result in the exclusion of this still large population.
 The online therapeutic process involves greater risk and patient concerns about recording, storing, and securing confidential information. The key in this situation seems to be the psychotherapist's awareness, caution, and transparently informing patients about how to work and secure data.

IOT-BASED HOME AUTOMATION USING NODEMCU ESP8266

Home automation is an automation technology that focuses on managing circuits and electronic equipment in homes, offices, and others. Home automation is a form of Internet of Things (IoT) development that allows communication and control through devices while connected to the internet. This study aims to design a Home Automation prototype on lighting devices such as lamps, light sensors to activate lights, and several lights controlled using mobile devices. The research method uses the prototype method, where system development is focused on the results of input from customers who will be evaluated for software development. The stages in this research begin with analyzing device requirements, literature study, system design, hardware design, user interface design testing, and arriving at the results. This research output will be made in the form of a prototype, where all components will be placed based on the layout described in the design. This system can help users control the equipment in the house from anywhere and anytime, including using light sensors to provide input to turn the lights on or off.

Energy Efficiency in High-rise Office Buildings: An Appraisal of its Adoption in Lagos, Nigeria

High-rise office buildings are naturally energy-intensive as energy is required in large quantities to run modern building services and to power equipment needed for a hitch-free operation of the buildings. It was found in studied literature that maintaining good indoor environmental quality through air-conditioning, lighting and powering of office equipment contribute the most to an office building’s total energy consumption. Hence, over time, various strategies have been employed to reduce the intense energy demand in high-rise office buildings. This paper adopted the use of both literature review and case study methods. The paper identifies the key energy efficiency strategies that have been successfully deployed in high-rise office buildings using the literature review approach. Also, case studies were conducted on three relatively new high-rise office buildings in Lagos, Nigeria by evaluating them against the background of the best practices in energy efficiency. The study found that deployment of energy efficiency strategies in high-rise office buildings in the study area is still very low especially in the areas of building orientation, building envelope design and the use of renewable energy. However, the use of day-lighting techniques and sustainable lighting systems are quite prominent in the office buildings studied. The study underscores the need to make high-rise office buildings more sustainable through energy efficiency strategies across the whole building life cycle of design, construction, use and end of life.

UAV and TLS point cloud integration for the surface plant infrastructure of underground coal mines

The surface plant infrastructure (SPI) of underground coal mines is one of important sets of underground mines as it includes essential objects, such as office buildings, structures and equipment used to load, receive, sort or process minerals; receive and discharge waste rocks; provide ventilation for tunnels and energy for mining operations. The measurement and collection of spatial data of SPI are important to ensure the safe and effective management and operation of mining activities in underground mines. A rapid development in geospatial technologies has facilitated the acquisition of geospatial data in the mining industry. Unmanned Aerial Vehicle (UAV) photogrammetry and Terrestrial Laser Scanning (TLS) are two of the typical geospatial technologies, which have made significant contributions to the field of geospatial data collection. While UAV photogrammetry allows to create dense point clouds with centimeter - level accuracy in a short time and large areas, TLS technology can produce dense point clouds with millimeter - level accuracy. However, the latter is time - consuming and expensive while performing on a large area. The integration of UAV and TLS data can be seen as a reasonable solution to gain the advantages of both and avoid the disadvantages of each technology. This paper presents the results of an integrated study of point cloud data generated by UAV and TLS for the plant infrastructure of the underground coal mine. Featuring structures in the study area include mineshaft tower, office and factory buildings. The results show that the UAV and TLS integrated point cloud data has millimeter - level accuracy for important objects such as mineshaft towers, while ancillary structures in the study area have centimeter - level accuracy.