Occurrence Of Human Error Research Articles

Analisis Pengendalian Internal atas Siklus Pelaporan pada Sistem Aplikasi Keuangan Tingkat Instansi (SAKTI)

This research was conducted to analyze the implementation of internal control over the financial reporting cycle at the Ministry of Foreign Affairs, especially in the year of 2022 after all the ministries are obliged to implement the Agency Level Financial Application System referred as SAKTI. This research used a case study methodology with a qualitative descriptive data analysis on a single unit analysis by using the Committee of Sponsoring Organization of the Treadway Commission Internal Control-Integrated Framework (COSO) theoretical framework adjusted to PMK.17/PMK.09/2019. The data collection in this research was obtained through interviews, documentations and observations techniques which were processed and analyzed using the content analysis method using the Nvivo12 Pro application tool. The results show that the effectiveness of internal control plays an important role in the organization to present an accurate and accountable financial reports. The manual procedures in data recapitulation and journal record in SAKTI had an impact on the occurrence of human errors which causing the need of corrections to be made in the following periods. Based on the results, it is concluded that internal control over financial reporting cycle at the Ministry of Foreign Affairs has been implemented but it is still not effective, so it needs some improvements such as the need to digitize manual procedures in data recapitulation and journal interconnection in SAKTI and also optimize monitoring activities for accurate and accountable financial reports in the future.

Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach

The construction industry is believed to be more susceptible to human errors than other industries because of its unique characteristics, particularly when it comes to urban construction projects (UCP). Despite the considerable attention given to human errors in construction sector, there has been a lack of emphasis on analysing these errors in specific projects like construction in urban environments with distinct complexities. Hence, this paper seeks to determine and assess the critical factors influencing human errors associated with the UCP. In this vein, Three rounds of Delphi surveys were done with 17 specialists in safety and construction management. According to the Delphi survey results, 35 substantial factors that contribute to the incidence of human errors in the UCP were discovered. Then, an empirical questionnaire based on the 5-point Likert scale of measurement was developed and distributed among 37 construction experts to assess the level of impact that each factor on occurring human error in the UCP. The questionnaire had 35 influential factors related to human errors, categorised into five primary divisions (environmental, technological/information systems, individual (permanently related), individual (temporarily related), and organisational). Before the distribution, the reliability and validity of the questionnaire were evaluated and confirmed. The factors were ranked using the Step-wise Weight Assessment Ratio Analysis (SWARA) technique at this point. The research findings indicated that the criterion of “technological factors/information systems” is the most crucial, with the criterion of “individual factors (permanently related)” coming in second and the criterion of “environmental factors” coming in third. The sub-criterion “weak maintenance management systems” scores first in the general ranking of sub-criteria, indicating traditional network systems, the absence of appropriate tools and equipment, and a lack of understanding of required resources. The sub-criterion “defects in details and information and lack of design dynamism” is placed second, while the sub-criterion “violation of safety regulations (use of drugs, etc.)” is ranked third. The study results can help industry practitioners make more educated judgements to minimise and manage human errors in the UCP.

ANALISIS HUMAN ERROR TERHADAP KESEHATAN DAN KESELAMATAN KERJA PEKERJA LOGAM DAN PERMESINAN PADA PROSES PRODUKSI MENGGUNAKAN PENDEKATAN HEART STUDI KASUS CV ANDHY KARYA

The production process of CV Andhy Karya goes through several production lines, starting from the printing process, casting process, machining and finishing process. The work accident report for 2023 shows that as many as 20% of 30 workers have serious work accidents in the casting and machining process. Occurs during the casting process where the worker's foot is exposed to a hot metal liquid during casting which results in the worker's leg suffering serious burns and being referred to the hospital. Based on the above events, to minimize the occurrence of work accidents and human error, the purpose of this study is to identify and measure human error probability then determine control efforts to minimize the occurrence of human error on occupational safety and health. . The results of this study show. The task with the highest human error probability value in the printing and casting process is task 2.2 to enter raw materials into the combustion furnace, HEP value of 0.283. In the machining process, the task with the highest HEP value is task 1.2, turning on and adjusting the lathe with a HEP value of 0.320. In the finishing process of the task, the highest HEP value, task 1.1, moves the product from the grinding place to the painting place with a HEP value of 0.150. Efforts for control can be done by using stairs with the correct procedures, providing handles on stairs, using anti-slip footwear and not carrying excessive loads. Use PPE (gloves), follow safety procedures recommended by the machine, and maintain concentration in work. Then workers can lift products with a weight that is not excessive and lift products with the help of other tools or not manually such as using a trolly.

SISTEM PELAPORAN PENCATATAN AKUNTANSI ATAS PENDAPATAN PAJAK KENDARAAN BERMOTOR DENGAN MENGGUNAKAN METODE CASH BASIS PADA LAYANAN SAMSAT KELILING

AbstractRegional Revenue Management Center for Kab. Cirebon 1 Sumber is the center of an organization or agency that is under the local government which has responsibility for receiving regional revenues through coordinating and collecting taxes, levies, tax sharing, balancing funds and others. This study aims to design, implement, analyze, and implement.The data collection methodology used in a study is observation. The system used in this application program is PHP (Hypertext Preprocessor) as the web, MySQL as the database design, using the Google Chrome browser and using a cash-based method (cash basis). In reporting daily receipts at the central office for regional revenue management in the Cirebon Regency, 1 source is still using the manual, namely using HVS paper, there is accumulation of files, data recording errors, and in making reports less efficient and effective. cirebon 1 source is illustrated by using a running flowchart accompanied by explanatory narration, then made computerized into a flowmap to be applied to the system so as to minimize the occurrence of human errors, file stacking, lost data, to be more efficient and effective. Keywords: Income, Motor Vehicle Tax, Cash Basis, Mobile Samsat

ANALISA PROSES BISNIS SIMPAN PINJAM PADA KSU JAYA MARUTI MENGGUNAKAN BUSINESS PROCESS IMPROVEMENT

KSU Jaya Maruti is a form of all-business cooperative that runs various types of businesses, one of which is the savings and loan business. There are various problems and risks faced by KSU Jaya Maruti in carrying out the savings and loan business process. The problems that are often faced are in data management, such as the frequent occurrence of human errors when recording and unintentional changes to data, and difficulties in reconciling data at the time of closing the books and auditing. In this research, business process modeling (as-is) and (to-be) were created using Business Process Modeling Notation (BPMN) with the Business Process Improvement (BPI) method so that the KSU Jaya Maruti can be helped to face its problems. The results of this research recommendation are the modeling of ongoing business processes (as-is) and recommendations (to-be), as well as additional applications in the form of financial technology to carry out the recommended business processes. From the calculation of the distribution of questionnaires based on the results of the member questionnaire with respondents from 150 people, 76.89% of respondents stated that they agreed that the KSU Jaya Maruti implemented financial technology, and for the employee questionnaire with respondents from 18 people, 80.76% stated that they strongly agreed to implement financial technology.

Augmented Reality and Nursing Care Improvement: Enhancing Patient Outcomes and Nursing Efficiency

Abstract The advanced technology of augmented reality (AR) is still finding its place in various fields, including healthcare. Much of the discussion of AR in this review article revolves around its potential to improve care in nursing, with particular emphasis on the effects on patient outcomes and work satisfaction among nurses. There are challenges in using conventional approaches to nursing education and clinical skill training, which include the availability of resources and real patients for practice. AR solves these issues by updating the learning mode, as students can immerse in virtually real and actual scenarios in clinical settings for nursing students. These simulations include procedures such as intravenous (IV) line insertion and emergency care, as well as the “skills check” that is presented immediately after providing retention of skills and assurance. In clinical applications, AR can display pertinent patient information, including physical examination data, laboratory data, or patient history, on the surface of the patient’s skin or the side of the bed. This real-time data integration increases the level of accuracy in monitoring, minimizes the possibility of human error occurrence, and increases the workflow rate. Moreover, AR can give step-by-step instructions and snap a clinician back to the key general rules of practice, which is highly essential during stressful conditions, such as in an emergency. However, going beyond the traditional roles of education and decision support, AR can help to optimize patients’ direct care and management activities, including IV-line insertion and wound evaluation. The present technology also has the advantage of giving valuable instruments of patient awareness, thus making patients easily understand even those medical conditions and treatments that may be perceived to be complicated and, therefore, enhance patient compliance with the recommended treatments. The demonstrated possibility to use AR to control the levels of pain and anxiety, along with other advantages, only proves the multifunctional nature of this technology. However, there are some setbacks in AR, such as technical ones, costs, and sufficient training for AR to be utilized optimally. The barriers that need to be overcome are also presented and require improvement for the implementation on a large scale. Further studies and innovations with health-care authorities and technology practitioners are essential for the advancement of AR in nursing care and its capability of enhancing patient well-being and nurses’ productivity.

Investigating the Human Reliability in the Healthcare Sector Using the Fuzzy Analytic Network Process and the Success Likelihood Index Method.

We aimed to identify the factors contributing to human error in hospital emergency departments using scientific methods. We used the Fuzzy Analytical Network Process (FANP) and Success Likelihood Index Method (SLIM) to investigate human reliability in 54 hospital emergency departments in 15 provinces of Iran from 2021 to 2022. The study classified 17 general factors affecting human errors in hospital emergency departments. Organizational (0.349), occupational (0.330), and personal factors (0.320) had the most significant impact on human error. Based on a matrix of paired comparisons for nine emergency tasks using the probability of success index method, "checking test results and diagnosis" had the highest probability of error when referring patients to intensive care or discharge. Although the study prioritized patients, there was still a cumulative probability of human error before disease diagnosis at 0.01332, highlighting the need for further training to minimize these risks. The FANP and SLIM were effective in identifying the factors contributing to human error in hospital emergency departments. Doctors and nurses working in these departments require more knowledge, experience, and responsibility to avoid errors. By identifying factors influencing the occurrence of human error and finding solutions to reduce risks, hospitals can improve the quality of their care and prevent errors.

MANAJEMEN ASSET DAN INVENTARISASI ASSET DALAM RANGKA MEWUJUDKAN GOOD SCHOOL GOVERNANCE

MANAJEMEN ASSET DAN INVENTARISASI ASSET DALAM RANGKA MEWUJUDKAN GOOD SCHOOL GOVERNANCE

Application of the Support Vector Machine (SVM) Algorithm for the Diagnosis of Diabetic Retinopathy

Diabetic Retinopathy (DR) is a disease whose main cause is complications of diabetes mellitus. High levels of sugar in the blood (glucose) are caused by the pancreas' inability to produce insulin. Prevention of diabetic retinopathy and blindness by carrying out examinations at an early stage and doing them regularly. Currently, doctors still carry out examinations manually so they are prone to errors in examinations. This research aims to build an application to diagnose Diabetic Retinopathy in order to facilitate the work of the medical team and doctors at the eye clinic. In the application creation process, MATLAB is used, while feature extraction uses GLCM and for classification, SVM is used. The results of the research are that doctors and medical teams are helped in carrying out manual patient diagnoses and reduce the occurrence of human error.

Penerapan Inovasi Aplikasi Simda di BPKD Padang Pariaman

Analysis of the Application of SIMDA in Preparing Financial Reports at the Regional Financial Management Agency of Padang Pariaman Regency. The Financial Regional Management Implementation System (SIMDA) is an application program used to assist local governments in the field of financial management. The aim of this research is to find out how SIMDA is implemented in the Regional Financial Management Agency (BPKD) of Padang Pariaman Regency. This research is qualitative research with descriptive methods. The data in this research was collected through interviews, observation and documentation. As well as knowing employees' understanding of implementing SIMDA Finance and the obstacles faced in its implementation. There were two respondents in the study, data was collected through direct interviews with respondents. The results of the interviews and data collected were analyzed descriptively using a phenomenological approach. The research results show that employees generally understand the meaning of financial SIMDA and an overview of its implementation regarding input and output data. Obstacles faced in implementing the SIMDA Finance application: SIMDA expires quickly, the network is often offline, there is no documentation regarding summary flow diagrams showing cash flow data, the data management system is weak, procedures for viewing incidental data still take too long, office space is still limited. inadequate and the occurrence of human error

Regulatory Arrangements and Utilization of Artificial Intelligence (AI) in Realizing Personal Data Protection in Indonesia

Indonesia has several legal instruments for personal data protection that are scattered and only adapt to the main contents of each law, so the legal protection provided is still not optimal. This study aims to examine the use of Artificial Intelligence (AI) as a tool to protect personal data and to examine the urgency of a special regulation in Indonesia to protect personal data. This research method employs both a statutory and a comparative legal approach. The research indicates that it is imperative for the Indonesian government to establish and ratify a dedicated legal framework for safeguarding personal data without delay. Furthermore, leveraging the potential of AI presents a promising opportunity to maximize the protection of personal data.. The use of AI in personal data protection will minimize the occurrence of human errors so that personal data protection can be more secure.
 Keywords: personal data, artificial intelligence, protection, urgency

A Study on Improving Efficiency and Reliability of Automated Connector Testing for Aerospace Applications

Automation is crucial for the future of the industry as it enhances efficiency, quality, and accuracy while reducing operating time and the occurrence of human errors. Establishing an automated factory requires significant resources, including robot installation, worker training, program development, and ensuring quality and safety measures. This paper presents a study on automating the testing process for an aerospace company aiming to enhance productivity and minimise errors. The study aimed to achieve full task automation using a Universal Robotics Arm (UR5), which undertook the tasks of retrieving, inserting, securely locking, and removing the six connectors into the equipment, effectively executing the entire process. In initial trials, wireless connectors exceeded expectations, achieving 16 cycles in 2 hours. The inclusion of cables brought about significant challenges, particularly in terms of cable entanglement and concerns regarding the durability of connectors. Proposed solutions include improving the rack system and refining the gripper’s functionalities. This highlights the project’s potential for transformative advancements in aerospace manufacturing.

Literature review: A study of cognitive aspects in minimizing human error in construction

Human error is a mistake due to human negligence, both consciously and unconsciously, which can cause a system to experience disruption and not run as planned. These errors can occur at the managerial, conceptual, or technical level. One of the activities with a high potential for finding human error is construction activities. Construction activities are a series of activities that include the construction, operation, maintenance, demolition, and construction of a building. Infrastructure development is one of the government’s policy focuses in 2023, with development from four main areas: water resources, roads and bridges, settlements, and housing. These infrastructure projects must have a good quality because they are closely related to user safety and security. Based on data from the Social Security Organizing Agency (BPJS) Employment and statements from the Ministry of PUPR, the industrial sector is an enormous contributor to work accidents with an average percentage of 32% each year. The human factor is one of the forerunners of human error apart from equipment and working environment conditions. Viewed from the perspective of Cognitive System Engineering, human error is caused by the failure of human cognitive processes where the process is related to Human Information Processing (HIP). This paper will describe and briefly discuss the problem of human error and its relation to Human Information Processing (HIP). This paper will examine various literature and summarize efforts that can be applied to improve the information processing process in the hope of minimizing the occurrence of human error in the scope of construction work.

Predefined Logics Based Anesthesia Delivery Module with Vital Monitoring

Anesthesia management is crucial during surgeries and in the intensive care unit to keep the patient unconscious and pain-free. The inaccurate dose may lead the patient to a critical condition and subsequently to a lifelong unconsciousness. Unlike manual system for anesthesia delivery, the automatic mechanism of drug administration may reduce the occurrence of human error greatly. Additionally, the use of vital sign monitoring during drug delivery may serve a crucial role in patient care during certain medical procedures. The anesthetist delivers the drug in milliliters over a specific time period precisely and this may lead to human error. Therefore, this work focuses on the design and development of an automatic anesthesia regularization system using microcontroller allowing vital sign monitoring to control the infusion speed of the medicine based on the patient's state. Different sensors are used to monitor heart rate, oxygen saturation, and temperature of the patient continuously and an alarm system is incorporated to go off in case of emergency. The drug dose must be known beforehand and is used as the predefined amount to configure and control data. The prototype has 4 pre-defined logics for easy operation and dose selection. When the logics are applied the device behaves accordingly, the system is driven by the stored logics and delivers the dose timely and precisely. In case of abnormal vitals, the device stops further delivery of the drug until the condition of the patient becomes stable again. The prototype successfully meets the demand of the algorithm by satisfying the conditions whilst the automation is useful in providing ease to anesthetists and comfort to patients during medical procedures. The result of this prototype extracted by comparing this model with commercially available MMED portable patient monitor and it has been observed that the system accuracy is around 95-98% as it’s a prototype that’s why initial findings are reported in this paper.

INNOVATION OR ENTERPRISE RESOURCE PLANNING FOR EFFICIENCY OF HEALTHCARE MANAGEMENT: MIGRATION DATA PROGRESS

Data is an important component in a system/software/application. The ERP (Enterprise Resource Planning) system is a business software package system that aims to help companies automate and integrate most business processes, share data and activities within a company, create and access information from the environment in a relevant, accurate and timely manner. This activity is a service program in the form of apprenticeship to partners, namely PT X with a jobdesk in the form of migrating company data into an ERP (Enterprise Resource Planning) system with the aim of forming an ERP (Enterprise Resource Planning) information system that helps the service process be more effective and efficient. This activity was carried out for 6 months, namely July-December 2023. One of the obstacles in the data migration process that took place was speed disturbances in the system, especially if used simultaneously. Implementation of an ERP-based data input process system at PT X can be expected to minimize the occurrence of human error which can result in errors in identifying subsequent data management. So the output obtained will be more accurate.

Implementasi Simple Additive Weighting Dalam Sistem Rekomendasi Beasiswa di SMK Tarbiyatul Ulum Karawang

Scholarships are a program that students get to continue their studies. Tarbiyatul Ulum Vocational School is a formal secondary level vocational institution which has a large number of students. Some of these students are entitled to get scholarships available at Tarbiyatul Ulum Vocational School. So far, the Administrative Staff to select students who are entitled to receive scholarships is done manually so that it takes a long time and the possibility of human error occurs so it is not efficient to use in selecting students who will get scholarships with a large number of students. Therefore, a scholarship recommendation system is needed that can provide consideration to Administrative Staff in grouping students based on scholarships that are suitable for them to participate in, so that with this recommendation system Administrative Staff can clearly group students without the occurrence of human error because it has been calculated automatically by the system. The system uses the Simple Additive Weighting method as a decision-making method with various criteria with weighted values according to the existing criteria and the Waterfall method as a method for making the system starting from the planning stage to the maintenance stage so that it is sequential in the development of this recommendation system. The results of this system can directly recommend selected students for the relevant scholarship based on the highest recommendation value which is calculated using the Simple Additive Weighting method.

Horizontal Conflict Resolution Related to Belief in Religious Tolerance in Multi-Cultural Society in Indonesia

Social conflicts have the potential to occur in multi-religious societies, especially in multicultural societies, such as Indonesia. One of the factors that causes this to happen is the occurrence of human error in understanding religious texts. The movement of discourse and dialogue among religious adherents has made significant progress. This begins with the awareness that all religious people basically pursue peace, compassion, and love and live happily with their loved ones. Indonesia is a plural country with a diversity of ethnicities, races, cultures, languages ​​and religions. In terms of religion, Indonesia recognizes several religions, namely Islam, Roman Catholicism, Protestantism, Hinduism, Buddhism and Confucianism. These religions have different principles and beliefs. The lack of social order to properly manage these differences has the potential to create conflict. The purpose of this research is to know the ways the conflict resolution of religious tolerance around society in daily life. This research is use qualitative method with descriptive approach. The result of this research is people must know the characteristic of multicultural of Indonesian society to emphasizes that the diversity of patterns of Indonesian society is intended not only for the diversity of ethnic groups but also for the diversity of cultures that exist in society. The existence of this cultural diversity can be seen in mutual respect and tolerance between cultures. Growing The Tolerance as Conflict Resolution to build tolerance each others. Social conflicts are often motivated by differences in characteristics brought by individuals in the realm of society. Success in realizing the noble goal of lasting peace and preventing social conflict between people who in fact are of different religions and cultures, as well as mutual respect and cooperation among various groups of people, ethnicity, language, culture, politics or religion.

Multilabel image analysis on Polyethylene Terephthalate bottle images using PETNet Convolution Architecture

Packaging is one of the important aspects of the product. Good packaging can increase the competitiveness of a product. Therefore, to maintain the quality of the packaging of a product, it is necessary to have a visual inspection. Furthermore, an automatic visual inspection can reduce the occurrence of human errors in the manual inspection process. This research will use the convolution network to detect and classify PET (Polyethylene Terephthalate) bottles. The Convolutional Neural Network (CNN) method is one approach that can be used to detect and classify PET bottle packaging. This research was conducted by comparing seven network architecture models, namely VGG-16, Inception V3, MobileNet V2, Xception, Inception ResNet V2, Depthwise Separable Convolution (DSC), and PETNet, which is the architectural model proposed in this study. The results of this study indicate that the PETNet model gives the best results compared to other models, with a test score of 96.04%, by detecting and classifying 461 of 480 images with an average test time of 0.0016 seconds.

Analisa Prediksi Hasil Produksi Popok Bayi Metode Naïve Bayes

PT. Elleair Interantional Manufacturing Indonesia is a company engaged in the field of manufacturing baby diapers. With the increasing market demand causing an increase in the production process, what is often experienced is that there is often a lack of finish good product to meet consumer de mand due to delays in the production process. To make it easier for companies to look for factors that can increase production result, the authors coduct research with data mining using the naïve bayes method. In this study the training data and testing data were tested using the RapidMiner application with the naïve bayes algorithm where the tested data were 500 data. Testing is done by calculating the value of precision, recall, AUC dan accuracy using the RapidMiner Application and using Microsoft Excel and calculating the final probability of each class to calculate predictions of product result. With the naïve bayes method we can calculate predictions of production result based on data from the previus year as training data to anticipate shortages in production due to factors that can hider the production process. From the results of the analysis obtained factors that affect production result, namely, the number of materia used for the production of 318 data. The human error factor with the category of “No” as much as 305 data also influences because the less the occurrence of human error the production results are also high. Stop delivery factor with the category “No” as many as 299 data, with fewer cases of stop delivery, the more finish good product that can be sold

Description of Incompleteness of Prescription Writing at Surabaya Islamic Hospital A. Yani

Introduction: Medication error is an event that harms patients due to incorrect use of drugs during the treatment of health workers. Medication error can lead to increased mortality or mortality, increased duration of hospitalization, and increased cost of treatment. Objective: This study aims to provide an overview of efforts to reduce the incompleteness of prescription writing at Surabaya Islamic Hospital A. Yani in each of its parts, namely inscription, invocation, precriptio, subcribtio, and pro. Method: The type of research used is qualitative case studies and secondary data analysis of patient safety incompleteness of prescription filling at Surabaya A. Yani Islamic Hospital. Data collection by observation and interview. Result and Discussion: The results showed that efforts to reduce the incompleteness of prescriptions carried out by Surabaya A. Yani Islamic Hospital using the E-prescription system. It is hoped that the existence of E-prescription can reduce the occurrence of human error and make it easier for doctors and pharmacists to provide services. Conclusion: The conclusion of this study is that the doctor's identity and the date of writing the prescription in the inscription section, the dose of the drug in the precriptio section, the doctor's paraphrase in the subcriptio section and the patient's weight in the pro section. E-prescriptions are used as an upgrade system to replace manual prescriptions. Evaluation and socialization are carried out as an effort to reduce the number of incompleteness of writing recipes