bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevention practices accounting fraud in managing village-owned business units and its approach using AI
Authors: Werastuti Desak Nyoman Sri , Atmadja Anantawikrama Tungga , Musmini Lucy Sri , Adiputra I Made Pradana , Sutoto Agung , Hidayatulloh A.Nururrochman , Sudarmanto Eko , Purwanti Purwanti , Sulistyowati Nur Wahyuning
Published: April 2024

This study explores the practice of preventing accounting fraud in village-owned business units. The method used in this research is descriptive qualitative, and the approach is Artificial Intelligence (AI). For the descriptive qualitative methodology, the primary informants are several administrators of village-owned business units. The results of this study are two approaches, and the first is the conventional way, namely prevention carried out through work culture, opportunity removal, and financial report assessment; the 2nd approach is through technology or Artificial Intelligence applications. This research implies that work culture, elimination of opportunities, and evaluation of financial statements can prevent accounting fraud significantly if it is strengthened in written regulations. Bumdes managers need to make standard operating procedures in their activities. The AI approach results in Automated Data Analysis, Real-time Monitoring, Document Verification, and Automated Reporting System.
Smart Water Tank for Control and Monitoring Based on IoT Technology
Authors: Parenreng Jumadi M. , Lamada Mustari S , Baktiar Nurul Isra Humaira , Adibah Fhatiah , Risal Andi Akram Nur
Published: April 2024

This research is a Research and Development study, developing a tool to overcome water wastage and monitor water conditions in the tandon. This tool uses water flow, pH, and turbidity sensors connected to a telegram bot and LCD. This research applies a prototype model that includes problem identification, needs analysis, literature study, tool design, program coding, tool installation, and tool testing. Functional testing of the tool shows that all components function correctly. From the test results obtained comparison test of measuring water volume entering using the water flow in the sensor and measuring cup results in an MPE of 0.067, while measuring water volume exiting using the water flow out the sensor and measuring cup results in an MPE of 0.048. Comparison test of measuring pH using a pH sensor and pH meter results in an MPE of 0.067. Measuring water turbidity level using a turbidity sensor shows the ability of the sensor to measure turbidity on various water samples. The telegram bot, LCD monitoring, and automatic water pump systems work well.
Network Security Analysis Based on Internet Protocol Security Using Virtual Private Network (VPN)
Authors: Rosyidah Aliyyah , Parenreng Jumadi Mabe
Published: April 2024

The network security system is continuously advancing alongside technological developments. VPNs, which utilize open networks, aim to provide security by leveraging IPSec to transmit private data through L2TP tunneling strategy from the server to the branch computer/client and vice versa. Conversely, it can also lead to poor security practices. VPNs are implemented using the layer 2 IPSec tunneling protocol with two MikroTik devices. Testing is conducted to assess the security and speed of the network using the command line and MikroTik Winbox, where the server monitors packet delays to determine the improvement in network security quality. This research has identified several weaknesses in implementing this VPN protocol, namely the need for caution regarding the security of transmitted data to prevent misuse by the VPN provider
Security Performance of LoRaWAN Servers using Advanced Encryption Standard
Authors: Adi Puput Dani Prasetyo
Published: April 2024

One of the essential components in LoRaWAN is managing the server with all existing components, including Device Management, Data forwarding, Network security, and real-time network monitoring. It is necessary to manage the uplink and downlink of the LoRaWAN server and maintain the quality of data transmission from the LoRa end node to the LoRaWAN server. Depending on the service provider, the LoRaWAN Server provides space for payload, uplink, and downlink data. How many times in a day, week, month, or even year? This discussion depends on the LoRaWAN server provider. Some are open sources, and some provide free uplink and downlink services. Settings on the LoRaWAN Server will determine how much data will enter the server or the network size. Security is also an essential parameter, e.g., encryption or authentication, supported by the feature requirements used on the server, which will determine the type of communication that LoRa will apply, for example, multi-communication or analysis data. Centralized management, Security, scalability, and cost-effectiveness are essential parameters if LoRaWAN is managed well.
Determining the feasibility of using the automated market basket analysis method to investigate a cause-and-effect pattern of construction accidents and its safety associations
Authors: Tatapudi Gopikrishna Vasista
Published: April 2024

Construction sites are complex and dangerous. Over the past decade, construction fatality rates have been high in most countries. Construction accidents cause harm to construction workers and financial loss to construction firms. Smart wearable jackets are among the most effective personal protection equipment (PPE) for India's most recent and future generations. Prevention is better than Cure. To prevent the occurrences of construction accidents and to provide better safety and health to construction workers, the sensor data has to be collected from the IoT environment and has to make it subjected to cloud-based big data analytics to provide better decision support to project managers and doctors. Further, the decision support system can be enhanced by adding semantic capabilities using Ontology, Semantic Web Services, and data mining and artificial intelligence techniques. This study highlights the feasibility of using the automated market basket analysis method to investigate the cause-and-effect pattern of construction accidents, especially when using the Apriori algorithm to extract frequent item set associations. Data File preparation is one of the most essential and significant modules of incorporating automation. Therefore the value of this research effort lies in preparing a sample database and how such a sample database can become helpful in construction safety and health management to prevent accidents, as well as the computations of measures of the Apriori algorithm that support decisions regarding construction safety and health provision to construction supervisors and managers are explained
Classification of Customer Satisfaction Through Machine Learning: An Artificial Neural Network Approach
Authors: Siregar Victor Marudut Mulia , Sinaga Kalvin , Sirait Erwin , Manalu Andi Setiadi , Yunus Muhammad
Published: April 2024

This study aims to classify customer satisfaction data from Café Alvina using Machine Learning, specifically by implementing the Backpropagation Artificial Neural Network. The data used in this study consists of 70 training data and 30 testing data, with the input layer of the Artificial Neural Network having 5 neurons and the output layer having 2 neurons. The tested Artificial Neural Network models include the 5-5-2 model, 5-10-8-8-2 model, 5-5-10-2 model, and 5-8-10-2 model. Among the four models used in the testing process of the Backpropagation Artificial Neural Network system using Matlab, the 5-10-8-8-2 architecture model performed the best, achieving an MSE (Mean Squared Error) of 0.000999932 during training with 2920 epochs and a testing MSE of 0.000997829. After conducting the testing, the performance of the Artificial Neural Network models was as follows: the 5-5-2 model achieved 81%, the 5-10-8-8-2 model achieved 100%, the 5-5-10-2 model achieved 98%, and the 5-8-10-2 model achieved 96%. Through the implementation of Backpropagation Artificial Neural Network, the classification of customer satisfaction can be effectively performed. The trained and tested data demonstrate that the Artificial Neural Network can accurately recognize the input data in the system.
Security System Analysis Using the HTTP Protocol Against Packet Sniffing Attacks
Authors: Manguling Inez sri wahyuningsi , Parenreng Jumadi Mabe
Published: April 2024

The security level of the SIM MBKM website information system needs to be analyzed because it is accessed by many students who provide essential data. The security testing process for the SIM MBKM system uses the software Ettercap and Wireshark to test the system's security level and network data against cybercrime attacks. The results of these experiments showed the same essential data, but Wireshark displayed more personal information. The difference lies in the system architecture using different methods or stages, namely ARP Poisoning and Filtering HTTP. The third difference is the estimated time taken during the experiment. Ettercap and Wireshark applications enable eavesdropping on confidential and essential data and information. Through security testing using Ettercap and Wireshark, more critical data is displayed. solutions and preventive actions can be implemented by encrypting confidential data and improving website security using the HTTPS (Hypertext Transfer Protocol Secure) protocol.
Adaptive Algorithm to Improve the Image Quality of Vehicle License Plates based on Lighting Parameters
Authors: Suhartono Suhartono , Suhardi Iwan , Angraini Indah
Published: April 2024

This study aims to develop an Adaptive Algorithm to Improve the Image Quality of Vehicle Number Plates Based on Lighting Parameters. The type of research used by the Author is Research and Development. This research was conducted at the Computer Engineering Laboratory for six months. This research consists of several stages, from the potential and problem stages, needs analysis, literacy studies, building prototypes, system design, and system testing. The collected datasets were taken using smartphone cameras and webcams, with 207 image datasets divided into two categories: training data and validation. The training dataset of 207 objects was 100% successful. System testing was carried out in two conditions, namely during the day and at night, for each two-wheeled and four-wheeled vehicle object. The results of adaptive algorithm testing to improve the quality of vehicle license plate images based on the light parameter experienced a change in the average MSE and PSNR values between the original image and the quality-improved image, although not too much of a difference. Based on this, it can be interpreted that the adaptive algorithm can produce better photos than before.
Decision Support System for Selecting the Best Internship Students using SAW Method
Authors: Siringo-Ringo Eko Deswin , Sugara Heru
Published: April 2024

The goal of this study is to find a solution to the issue of choosing the best student internship for the BPKD office in Pematangsiantar city. This office chooses the best interns candidates in order to hire candidates who are competent, skilled, able to improve their adaptability and perception in improving their performance and carrying out the tasks assigned. A Decision Support System (DSS) powered by computers is used to carry out this selection. The SAW approach is applied by the decision support system. Responsibility, Delay, Attitudes/Ethics, Presence, and Cooperation are the criteria employed in this strategy. The results of the study include recommendations for the top interns, with Mona Rachel Sitohang coming in at number one with an alternative value of 0.7500, followed by Irviana Soneta Manalu at number two with a value of 0.7042, and Elsa Paulina Simanjuntak at number three with a value of 0.6042. This office may find it simpler to choose the top students internship candidates with the use of this decision assistance system.
Decision Support System for Selecting Social Assistance Recipients using The Preference Selection Index Method
Authors: Parapat Eka Pratiwi Septania , Sinaga Kalvin , Sirait Erwin , Manalu Andi Setiadi
Published: April 2024

This research aims to solve the problem of selecting social assistance recipients in the Nagori Moho area, Java Marajah Bah Subdistrict, Jambi, Simalungun District; in order to obtain the right targeted recipients of social assistance, the Nagori office carries out the selection of its residents, this selection is carried out by implementing a computer-based decision support system (DSS). The decision support system uses the PSI method. The criteria used in this method consist of economic condition, income, jobs, age, and dependents of the school children. The results obtained from this research are recommendations for the population receiving aid with results consisting of rank 1 with the alternative value S_Purba with a value of 0.9286, then rank two with the alternative F_Azhar with a value of 0.7599, and rank 3 is Jumiati with a value of 0.7163. This decision support system can make it easier for the Nagori office to select residents worthy of assistance.
Smart System for Stabilizing Water Flow Output on Android-Based Taps
Authors: Parenreng Jumadi M , Zain Satria Gunawan , Yusuf Zulfatni , Suhardi Iwan , Kaswar Andi Baso
Published: April 2024

This study aims to produce and find out the results of the Smart System Stabilization Water Discharge Output Test on Android-Based Faucets based on the results of water flow sensor readings whose data is used as a reference for the rotation of the Adj or Adjustable Water Pressure Reducing Regulator Valve. The tests were carried out in the form of measuring water flow without and with Adj and measuring water discharge without and with Adj. Based on the research results, the water flow without Adj is 7 L/min for tap 1.9 L/min for tap 2. The water flow with Adj for both taps is 8 L/min. The flow of water from both taps is more stable with Adj than without Adj because the flow of both taps is 8 L/min. The measurement results of the water discharge without Adj are 0.1216 L/s for tap 1 and 0.1470 L/s for tap 2; the difference in water discharge is 0.0254 L/s. Water debit with Adj 0.135 L/s tap 1 and 0.14125 L/s tap 2, the difference in water discharge is 0.00625 L/s. The water debit is more stable with Adj than without Adj because the difference in water discharge is smaller.
The Relationship of Teacher Activity in the Teaching and Learning Process to Elementary Student Learning Outcomes Using Bootstrap Machine Learning
Authors: Hia Faomaha , Sihombing Volvo , Juledi Angga Putra
Published: April 2024

Often, after the learning and teaching process is over, students will be tested with quizzes, midterm exams, and even end-of-semester exams, but these exams still take time after the teacher has taught several weeks or months that have passed; what if after teaching, for example, a math lesson, and students immediately understand or do not understand at all, and this can be detected using Machine Learning. The variable that can be raised is the value or quiz grade of a particular subject; for example, mathematics is one of the disliked subjects for most elementary school students, but how to find out that the student is able or unable to solve math problems and predict the end of semester grades for mathematics, this can be determined using Machine Learning, using the KNN Algorithm or K-MEANS method, or other methods that are deemed appropriate to the existing case study. In this case study, it is predicted whether a variable affects each other or affects other variables; this is done by doing or drawing relationships between variables. This research successfully concluded from the performance of machine learning in predicting students' understanding of math lessons after teaching and learning activities ended. The parameters that will be used for testing are population and sampling, and then data analysis, validity, and reliability tests are carried out.
Transformation of Binjai Police Presence Application: UI/UX Design with Design Thinking Method to Improve Efficiency and User Experience
Authors: Algifahri Muhammad Dzar , Putra Donny Dwi , Zulfi Tio Fahreza Zulfi , Lubis Aidil Halim
Published: April 2024

Attendance systems have become integral to attendance management and employee supervision in various organizations. Binjai Resort Police, as a law enforcement agency in the region, is now using an access control system for all its employees. The system is expected to be a new solution for attendance management in the agency, providing efficiency and accuracy in monitoring employee attendance. In today's digital era, attention to user interface (UI/UX) is essential in product development, especially mobile applications. The ultimate goal of this study is to create an attendance mobile application prototype that meets the company's needs. Design Thinking methodology was used to focus on problem-solving by prioritizing end-user needs. The design process consists of five steps: Empathize, Define, Ideate, Prototype and Testing, and Testing. The test results show that the design is already running well, following the needs, and has the potential for further development.
Library Book Recommendation System Using Content-Based Filtering
Authors: Rosidah Lailatul , Dellia Prita
Published: April 2024

In today's digital era, libraries are developed to adapt to student needs. Students can easily search for books on digital library services. However, the large number of books sometimes makes it difficult for students to find the books they want. Overcoming this problem can be done by using a recommendation system. A recommendation system is a system used to provide suggestions to users. This research aims to develop a library book recommendation system at Darul Mustofa Bangkalan Vocational School using content-based filtering. The content-based filtering method offers recommendations based on user preferences according to the item description. The algorithms used are Term Frequency Inverse Document Frequency (TF-IDF) and Cosine similarity. The method used in this research is research and development with a waterfall model. The researcher's testing stage used black box testing. Black box testing results were obtained from validation by system experts, website experts, and user tests with the qualification "Very Eligible."
Identification of Tajweed Recognition using Wavelet Packet Adaptive Network based on Fuzzy Inference Systems (WPANFIS)
Authors: Siregar Ratu Mutiara , Satria Budy , Prayogi Andi , Pane Muhammad Akbar Syahbana , Awal Elsa Elvira , Sari Yessi Ratna
Published: April 2024

This research aims to develop a system capable of processing voice input to recognize Al-Quran reading by recitation of Tajwid, using wavelet signal extraction and classification of Tajwid rules using ANFIS. The process stages include data acquisition, audio data pre-processing, extraction using wavelet packets, division of training data and test data, and classification. The data obtained were 20 observations from 10 observations carried out in data pre-processing. The wavelet decomposition process produces six main features as ANFIS input variables and 64 rules. Then the data was separated into 17 observations for training data and three for testing data. The test results obtained from the training that had been carried out produced plots that were too fit; in this experiment, the WPANFIS classification model got 100% appropriate classification and SSE values that were the same as the training result, 0.00081225.
Designing a Web-Based Digital Certificate Application Using the Waterfall Method
Authors: Susannaiyah Lucy , Darujati Cahyo
Published: April 2024

In the digital era that continues to develop, information technology has brought many aspects of life, including managing activity certificates in educational and professional environments. Activity certificates have an essential role in recognizing participants. Built using the Laravel framework and the PHP programming language, this application features easy public access to certificates via online links. Thus, this research aims to design a digital certificate application that is effective and easy to use, hoping that it can positively contribute to DIGITAL-ID AKADEMI in improving the quality of services and management of activities. The issuance and distribution of certificates will positively impact Digital's reputation. ID ACADEMI is an innovative educational institution that is responsive to technological developments.
Design of a Marriage Service Management Application at the Pasar Jambi Religious Affairs Office
Authors: Suroto Suroto , Syah Tamrin
Published: April 2024

The Office of Religious Affairs of the Pasar Jambi sub-district of Jambi City has several important tasks in terms of marriage affairs. Still, the problem is that the data is complex and not properly organized. Data speed is the answer for every person or resident in Jambi City. Those who want to get married have to go through a lot of documents that must be neatly recorded so that the data can be retrieved quickly and easily. Not only focusing on marriage or nikah data, the Office of Religious Affairs of the Pasar Jambi sub-district also takes care of several other things. Some examples of records carried out are the recording of marriages, referrals, mosque guidance, zakat, waqf, and other social worship. The service management application system at the religious affairs office of the Pasar Jambi sub-district will be able to provide answers on the data speed side. This service management system is made easier to use by all officers at the religious affairs office of the Pasar Jambi sub-district.
Designing Ikhwan Shop Management System with Desktop-based Multi-User
Authors: Khakim Lukmanul
Published: April 2024

The Ikhwan Shop provides goods and cellphone repair services, but the system that runs in the shop records incoming and outgoing goods, and the results of repair services are still done by writing in a hand-written shop logbook. Therefore, a management system, an application designed to cover all activities running in the store, is needed. The activities are selling pulses, snacks, office stationery, receiving damaged cellphone repairs, and serving consignment of supplier goods. The system is equipped with a calculation of net and gross income and data collection related to employee salaries. After managers, cashiers, and technicians tested and implemented the system, it was concluded that it followed the business processes running at the Ikhwan shop. The system testing results with Blackbox show that all system functions can run well, so management activities run more effectively and efficiently.
SIBI Alphabet Detection System Based on Convolutional Neural Network (CNN) Method as Learning Media
Authors: Arthur Limantara Michael , Tristianto Didik
Published: April 2024

Sign language is a form of communication that relies on body movements and facial expressions to interact, especially for deaf and hard-of-hearing people. The Indonesian Sign Language System (SIBI) is the official sign language in Indonesia. Until now, there is still a communication gap between deaf and hard-of-hearing people and normal people. The Computer Vision approach is expected to overcome the problem by developing a sign language recognition system. This research focuses on applying Deep Learning with the Convolutional Neural Network (CNN) method to detect hand gestures in SIBI alphabetic sign language and translate them. Hopefully, the results of this research can be the foundation for developing sign language recognition applications optimized specifically for SIBI. They can help people with disabilities and the general public communicate more effectively.
Mapping and Monitoring of Satellite-based Livestock waste Management and Internet of Things in Livestock area in Bumiaji, Batu City
Authors: Hudono Eviyanti , Wikantiyoso Respati , Wahjutami Erlina Laksmiani , Santoso Imam
Published: April 2024

Global Positioning System (GPS) and Internet of Things (IoT) technology significantly monitor livestock waste, which is vulnerable to environmental pollution. The potential for livestock waste is relatively high if a good and maximum management process is carried out. The role of GPS is to provide specific data, i.e., latitude and longitude points, where this position is essential to providing detailed data on the status of drainage and livestock waste originating and going to where. GPS data and its Mapping will be displayed on a smartphone's desktop and mobile-based graphic user interface. The role of IoT is to provide data in real-time with data taken from sensors installed in sanitation or drainage in the livestock area in the Bumiaji sub-district, Batu City. Furthermore, the monitoring points are located at several points in the Bumiaji sub-district, consisting of 9 livestock points located in one sub-district as a source or data source that will be sent via IoT devices and displayed on a map using GPS technology in real-time at the research location. The real-time monitoring results can be monitored through data provided by sensors, which will then be executed and handled directly to anticipate environmental pollution.
Mapping dengue vulnerability: spatial cluster analysis reveals patterns in Central Java, Indonesia
Authors: Fithriyyah Anisahtul , Purwaningsih Tuti , Konate Siaka , Abdalla Modawy Adam Ali
Published: April 2024

In Indonesia, where the interplay between climate variability and infectious diseases is pronounced, Dengue Fever poses a significant threat, particularly in Central Java, ranking as the province with the third-highest incidence of Dengue cases nationwide. This study adopts a proactive approach, employing cluster analysis techniques—single linkage, average linkage, and Ward’s method—to categorize cities and regencies in Central Java based on their susceptibility to Dengue outbreaks. The comparative analysis, facilitated by standard deviation values, reveals nuanced vulnerability patterns, with the single linkage method presenting the most refined categorization, yielding four distinct vulnerability clusters: very low (0.097), low (0.150), medium (0.205), and high (0.303). Furthermore, spatial analysis utilizing Moran’s Index indicates a positive spatial autocorrelation among Dengue cases (Moran’s I = 0.62, p 0.05), underscoring the spatial homogeneity in case distribution across regions. These findings emphasize the critical need for targeted interventions and evidence-based policymaking to effectively combat Dengue transmission in Central Java and mitigate its public health impact.
Hand image reading approach method to Indonesian Language Signing System (SIBI) using neural network and multi layer perseptron
Authors: Bagaskoro Muhammad Cahyo , Prasojo Fadillah , Handayani Anik Nur , Hitipeuw Emanuel , Wibawa Aji Prasetya , Liang Yoeh Wen
Published: April 2024

Classification complexity is the main challenge in recognizing sign language through the use of computer vision to classify Indonesian Sign Language (SIBI) images automatically. It aims to facilitate communication between deaf or mute and non-deaf individuals, with the potential to increase social inclusion and accessibility for the disabled community. The comparison of algorithm performance in this research is between the neural network algorithm and multi-layer perceptron classification in letter recognition. This research uses two methods, namely a neural network and a multi-layer perceptron, to measure accuracy and precision in letter pattern recognition, which is expected to provide a foundation for the development of better sign language recognition technology in the future. The dataset used consists of 32,850 digital images of SIBI letters converted into alphabetic sign language parameters, which represent active signs. The developed system produces alphabet class labels and probabilities, which can be used as a reference for the development of more sophisticated sign language recognition models. In testing using the neural network method, good discrimination results were obtained with precision, recall and accuracy of around ±81%, while in testing using the multi-layer perceptron method around ±86%, showing the applicative potential of both methods in the context of sign language recognition. Testing of the two normalization methods was carried out four times with comparison of the normalized data, which can provide further insight into the effectiveness and reliability of the normalization technique in improving the performance of sign language recognition systems.
ОСНОВИ КЛАСТЕРНОГО ПІДХОДУ ДО РОЗВИТКУ ПОРТОВОЇ ІНФРАСТРУКТУРИ: СТРАТЕГІЇ, ІННОВАЦІЇ ТА КОНКУРЕНТОСПРОМОЖНІСТЬ
Authors: ЄРМАКОВА Ольга
Published: April 2024

Стаття присвячена дослідженню кластерного підходу в контексті розвитку портової інфраструктури, його теоретичним основам та практичному застосуванню. Основна увага зосереджена на аналізі стратегій розвитку, інноваційних рішень та факторів, що сприяють підвищенню конкурентоспроможності портових кластерів. Розглядається вплив географічної концентрації, взаємодії учасників, інфраструктури та державної підтримки на ефективність та інноваційність портових кластерів. В статті акцентовано на необхідності інтеграції ланцюгів поставок, впровадженні технологічних інновацій, сталому розвитку та співпраці між усіма зацікавленими сторонами для досягнення високої конкурентоспроможності та сталого розвитку портових кластерів. Наведено приклади успішного застосування кластерного підходу в міжнародних портах та наголошено на потенціалі інновацій для підвищення ефективності портових операцій і зменшення впливу на довкілля. Взаємодія з науковими установами та стартапами, а також ефективні інвестиції в дослідження та розробки є ключовими для розвитку новітніх технологій. Дослідження розглядає як ці аспекти впливають на інноваційну активність в портових кластерах, підкреслюючи необхідність подальшого аналізу та стратегічного планування для забезпечення майбутнього розвитку, базованого на інноваціях та співпраці.
ЕЛЕМЕНТИ СИСТЕМИ ВНУТРІШНЬОЇ ТОРГІВЛІ СПОЖИВЧИМИ ТОВАРАМИ І ПОСЛУГАМИ: ОСОБЛИВОСТІ ТА СОЦІАЛЬНО-ЕКОНОМІЧНИЙ ПОТЕНЦІАЛ
Authors: КАЧАН Олег
Published: April 2024

У статті внутрішня торгівля розглядається як сектор економіки, що опосередковує процеси виробництва, збуту і споживання продукції (товарів, послуг). Виділено склад та інтереси стейкхолдерів в контексті розвитку й ефективного функціонування внутрішньої торгівлі. Наголошено, що внутрішня торгівля відіграє системоутворюючу роль в структурі національного господарства та є одним з провідних індикаторів економічного зростання країни і сталого розвитку регіональної (місцевої) економіки. Визначено ключові блоки галузево-секторальної підсистеми внутрішньої торгівлі споживчими товарами та послугами – функціональний, організаційний, соціальний та територіальний. Надано характеристики особливостям функціонування та розвитку системи внутрішньої торгівлі споживчими товарами і послугами визначаючи формування й надалі використання її соціально-економічного потенціалу. Запропоновано, особливості, виходячи із їх впливу на формування і реалізацію практично всіх компонент соціально-економічного потенціалу розвитку системи внутрішньої торгівлі, ідентифікувати за елементи цієї системи – функціональним, організаційним, соціальним, територіальним, інституційно-ресурсним, оперативним, наглядовим.
Towards In-Line Measurements of Sawn Wood Surfaces
Authors: Rebeggiani Sabina , Reddy Vijeth , Olofsson Linus , Fredriksson Magnus
Published: April 2024

Metrology and characterisation of products’ functional surfaces are of key importance in smart and sustainable manufacturing. By proper measures of resulting topography and dimension at the micro-cm level, higher process control can be achieved, leading to more efficient production with products closer to defined targets. Commercial surface metrology systems for lab- and in/on-line applications have increased in the last decades, but the wood sector has not yet benefited from this development. A better understanding of sawn wood topography combined with smart online metrology systems is expected to lead to a substantial reduction of waste in sawmill production, both by transforming waste pieces and sideboards into engineered wood products and by optimising the sawing process (e.g. by using thinner saw blades and reduced tolerances). It would also open new design possibilities and challenge the construction sector to replace today’s materials with renewable raw materials. Additionally, sawmills will be less dependent on incoming timber dimensions. This study is the first step towards a better understanding of sawn wood topography and how relevant surface features can be detected and analysed to enable the next generation of functional wood surfaces for various applications. By identifying the measuring instrument’s capability to capture surface topographical features of sawn wood, this paper discusses the requirements for efficient measurement techniques. It opens for future implementation of machine learning algorithms to in-line monitor and control the machining process. All tested metrology techniques showed promising results. To capture machining marks, the instrumentation needs to have lateral resolutions on the um level and a measurement area covering some cm; thus, the laser scanning system seemed to be a good compromise.
Process Parameter Impact on Axial Plasma Sprayed Ytterbium Disilicate Coatings for Environment Barrier Coating Applications
Authors: Bellippady Madhura , Parmar Shivang Dinesh , Bjorklund Stefan , Joshi Shrikant , Markocsan Nicolaie
Published: April 2024

In future generation aviation, light weight, and thermally stable SiC/SiC ceramic matrix composites (CMCs) are considered the most promising structural materials to replace traditionally used Ni-based superalloys. However, in the presence of steam (a common combustion reaction product) and corrosive species (from ingestion of debris along with the intake air during take-off and landing), accelerated degradation of CMCs compromising its structural integrity is inevitable. Environmental Barrier Coatings (EBCs) are protective ceramic coatings consisting of rare earth (RE) silicates as a topcoat with silicon as a bond coat, and are widely used on CMCs, to impede their surface recession. Thermal spray techniques are commonly employed to deposit EBCs, with highly crystalline, dense, and crack free coatings being desired for robust performance. In general, the high particle velocity and efficient energy transfer in axial feeding systems can result in coatings with higher density, reduced oxide content, and improved mechanical properties. In the present study, axial plasma sprayed ytterbium disilicate (YbDS) coatings deposited on silicon carbide (SiC) substrates using varying plasma spray parameters have been comprehensively characterized. Microstructure, porosity, and hardness have been studied for YbDS coatings deposited by varying nozzle diameter, carrier gas flow rate and stand of distance (SOD) during plasma spraying. Erosion and thermal cyclic fatigue performance of these coatings has also been investigated.
Enabling Circular and Reconfigurable Machining System Within the Automotive Industry – A Multiple Case Study
Authors: Rösiö Carin , Skärin Filip , Gustavsson Patrik , Andersen Ann-Louise
Published: April 2024

To shift the focus from a reactive development approach to a purely proactive approach is a comprehensive and decisive challenge. Reconfigurable manufacturing principles offer a new perspective that emphasizes adaptability over obsolescence. This paper aims to explore how automotive industries include reconfigurability and circularity in production system design to prolong the production system lifetime. In a multiple case study within automotive industry the long-term view in machining system development has been investigated. The results show that the companies try to leave the linear approach behind to look beyond the specific project boundaries and enable a system to be reused over time. There is an awareness of the importance to adopt long-term approaches to achieve a circular mindset and the study reveals that machining systems are characterized by a higher flexibility and higher degree of standardization to enable turbulence in requirements. Still, there are methods required to consider future needs, strategies, and technologies to enable reconfigurable and circular systems.
CNN-Based Road Damage Detection
Authors: G Geethamahalakshmi
Published: April 2024

Monitoring road degradation is an important activity that can assist in reducing maintenance costs and preventing accidents. In picture recognition tasks, road damage detection using Convolutional Neural Networks (CNNs) has exhibited outstanding results. In this paper, a CNN-based robot was tasked with identifying various types of road surface deterioration. Gathering and preprocessing images of damaged road surfaces, constructing and instructing the CNN architecture, and evaluating the CNN's performance on a test set are all part of this approach. Our suggested method is extremely accurate, around 90%, at detecting various types of road degradation, including cracks, potholes, and bumps. The findings demonstrate how CNNs can be utilized for identifying road degradation and improving road maintenance and safety.
Diferentes substratos sobre a germinação de sementes de Açaí nas Regiões Norte e Nordeste do Brasil
Authors:   Universidade Estadual da Região Toccantina do Maranhão, Garcia Ana Paula Braz , Carvalho Victor Manoel Alves ,   Universidade Estadual da Região Toccantina do Maranhão, Louro Antonio de Oliveira ,   Universidade Estadual da Região Toccantina do Maranhão, Alves Anatércia Ferreira ,   Universidade Estadual da Região Toccantina do Maranhão
Published: April 2024

The great demand for products from açaí cultivation has motivated producers to cultivate it commercially. However, the production of açaí fruits (Euterpe) in the North and Northeast Regions of Brazil still comes practically from extractivism. Therefore, the objective of this work was to verify the efficiency of the different substrates used for the germination of açaí seeds, from 2011 to 2021, based on a bibliographical survey and identify the substrate that guarantees better conditions for the seed germination process and that is easy to acquire. Thus, they were identified by the use and inclusion of different compositions, with emphasis on germination speed, germination rate, density, porosity, aeration and sensitivity to light, temperature and humidity. After analyzing the literature, it became evident that the substrate that presented the best conditions for the germination process of the açaí seed and that is most accessible to the producer, is black soil, crushed seeds and cattle manure. This material is widely used by the Empresa Brasileira de Pesquisa Agropecuária – EMBRAPA, where it showed better results, with excellent germination, in addition to reduced acquisition costs.
CLIMATE CHANGE IN SOUTH-EAST NIGERIA: LOSING HOMES AND FARMLANDS, CHANGING SETTLEMENTS AND THE FUTURE
Authors: Madubueze Madumelu , Egberi Anthony , Ejiofor Ikeobi , Nwadiogbu Nnamdi
Published: April 2024

The study is an assessment of the effects of climate change in South Eastern region. Apart from struggling with the scars of a civil war, the region is experiencing exponential increase in industrialisation, manifesting in a number of industrial clusters which has given rise in the level of industrial gas emissions, establishment of housing estates, resulting in large scale deforestation in a region already threatened by floods, and gully erosion. The study examined the trend in erosion and flooding in South East region of Nigeria, the effects of erosion and flooding in the region, the constitutive efforts of governments to address the effects of erosion and flooding, the implications for regional and national development as well as a conclusion. The findings show that the people of the South East have had their fair- share of the devastating impact of the Climate change, as manifested in the apparent changes in general weather pattern, increasing level of erosion menace in many States across the region, poor yield in agricultural produce, resettlement of residents as a result of flooding, among others. The paper concludes that community based interventions are relevant to sustain government initiatives to mitigate the effects of climate change, especially erosion and flooding in Southeast, Nigeria.
HEAVY METALS DETECTION IN SOME TYPES OF HERBS USED IN MEDICAL TREATMENTS
Authors: Al-Dahhan Wedad Hamad , Ali Muataz Adnan , Hasan Amer Adnan , Hashim Hassan Nasir , Altimmime Baqir Abdualatif , Imran Yudhisman Ismail , Jawad Ali Hadi , Yousif Emad Abdul-Hussain
Published: April 2024

Given the backdrop of the Corona pandemic, the objective of this study was to identify some of the heavy metal presence in specific herbs collected from local markets in Iraq. Eight samples were selected, with four (Chamomile, Laurus nobilis, Artemisia, and Borage) used for COVID-19 prevention and the remaining four (Quince, Clove, Thyme, and Propolis) for treating COVID-19 patients. For the detection of metals in the selected specimens, EDX (energy-dispersive X-ray spectroscopy) was employed. The results revealed the existence of  (Ca), (K), (S), (Si), (Al), (Mg), and (Zn) in Chamomile; (K), (Si), (Al), and (Zn) in Laurus nobilis; (Ca), (K), (S), (Si), (Al), (Mg), and (Zn) in Artemisia; (Ca), (K), (P), (Si), (Al), (Mg), and (Zn) in Borage; (Ca), (K), (S), (Si), (Mg), and zinc (Zn) in Quince; (Ca), (K), (Mg), and zinc (Zn) in Clove; (Ca), (K), (Si), (Al), and (Zn) in Thyme; and (Si) in Propolis. All the detected elements are considered essential metals, which are crucial for living biological systems and needed in relatively low concentrations. It is worth mentioning that the selected samples did not contain toxic heavy metals such as (Cd), (Pb), and (Hg), which are regarded as biochemically nonessential. Further analysis for heavy metal content, starting from acid digestion. This process aimed to liberate heavy metals from organic components in the herb samples. The results obtained through atomic absorption confirmed the absence of toxic heavy elements (Cd, Pb, and Hg). This is considered a positive thing as far as these toxic elements are concerned.
Pengaruh Kepercayaan, Daya Saing dan Ketepatan Waktu Terhadap Kepuasan Pelanggan Pengguna Aplikasi Gojek Di Kota Batam
Authors: Siburian Anjelita Novita Sari , Sukati Inda
Published: April 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kepercayaan, daya saing dan ketepatan waktu terhadap kepuasan pelanggan pengguna aplikasi Gojek di Kota Batam. Metode penelitian yang digunakan pada penelitian ini adalah penelitian kuantitatif untuk mencari hubungan kausal yang bersifat asosiatif. Populasi pada penelitian ini adalah seluruh masyarakat di Kecamatan Batu Aji yang pernah menggunakan layanan aplikasi Gojek. Teknik pengambilan sampel pada penelitian ini menggunakan metode purposive sampling. Teknik pengumpulan data yang digunakan adalah dengan penyebaran kuesioner dengan sampel sebanyak 204 responden. Analisis data yang digunakan pada penelitian meliputi uji validitas, uji reliabilitas, uji asumsi klasik (uji normalitas, uji multikolinearitas, uji heteroskedastisitas), analisis regresi linear berganda dan uji hipotesis (uji F, uji t, koefisien determinasi). Hasil penelitian ini menunjukkan bahwa kepercayaan, daya saing dan ketepatan waktu secara parsial dan simultan berpengaruh positif dan signifikan terhadap kepuasan pelanggan pengguna aplikasi Gojek di Kota Batam.
Pengaruh Promosi, Digital Marketing dan Brand Awareness Tiktok terhadap Purchase Intention Produk Kecantikan di Sampit
Authors: Listiani Nining , Ismail Andi
Published: April 2024

Riset ini bertujuan buat mengenali seberapa besar pengaruh Promosi, Digital Marketing, serta Brand Awareness Terhadap Purchase Intention produk kecantikan di Miracle Store Sampit. Metode pengambilan ilustrasi memakai purposive sampling dengan 100 responden. Pengambilan riset yang digunakan yaitu kuisioner, riset pustaka, serta skala linkert. Metode analisis memakai  SPSS ver 25. 00 dengan regresi linier berganda, uji hipotesis( uji t serta uji f), dan koefisien determinasi. Pengujian hipotesis memakai uji- t. Hasil riset uji secara parsial menampilkan bahwa promosi Digital Marketing serta Brand Awareness mempengaruhi signifikan terhadap Purchase Intention Produk kecantikan di Miracle Store Sampit.
Pengaruh Motivasi Kerja, Disiplin Kerja dan Pelatihan terhadap Kinerja Karyawan PT Hua Chengda Indonesia
Authors: Putri Livia , Hikmah Hikmah
Published: April 2024

Sebuah penelitian untuk menjawab setiap hipotesis antara variabel motivasi kerja, disiplin kerja dan pelatihan. Penelitian dilakukan di PT Hua Chengda Indonesia pada 107 karyawan dengan penyebaran dengan google form. Teknik penelitian dengan menggunakan uji regresi linier berganda dengan hasil uji t pada  motivasi kerja 2,436 > 1,985, disiplin kerja t hitung 3,284 > 1,985, pelatihan t hitung 6,039 > 1,985. Memberikan pengembangan terhadap pelatihan yang diberikan ke karyawan untuk hasil kinerja yang maksimal. Berdasarkan penelitian yang dilakukan dapat disimpulkan bahwa adanya perlakuan yang baik antara motivasi kerja, disiplin kerja dan pelatihan terhadap kinerja karyawan. Maka dapat disimpulkan bahwa telah signifikan dan berpengaruh. Diharapkan adanya pengembangan disiplin karyawan yang menjadi bentuk motivasi kerja.
Pengaruh Inflasi dan Nilai Tukar Rupiah terhadap Penerimaan Pajak Pertambahan Nilai (Studi Kasus pada Kantor KPP Makassar Utara)
Authors: Ahmad Siti Hadijah , Suâ€™un Muhammad , Alam Roslina
Published: April 2024

Penelitian ini bertujuan untuk mengetahui dampak ekspansi dan skala tukar rupiah terhadap pendapatan esteem added charge. Populasi Populasi yang digunakan dalam penelitian ini adalah informasi review BPS tentang ekspansi, informasi skala konversi rupiah (Bank Indonesia) dan informasi pengakuan pendapatan beban (DJP) tahun 2014 - 2022 dan contoh tersebut menggunakan uji evaluasi, khususnya kurs ekspansi per kuartal di Sulawesi Selatan, skala penukaran rupiah terhadap satu dolar AS per kuartal yang didasarkan pada kurs jual beli, dan penerimaan tangki per kuartal di KPP Pratama Makassar Utara periode 2014 - 2022. diselesaikan dengan mengumpulkan informasi yang ada di KPP Pratama Makassar Utara, sehingga pembuat catatan dapat memperoleh catatan yang berhubungan dengan pemeriksaan ini. Teknik logika menggunakan pemeriksaan langsung yang berbeda dengan bantuan program SPSS 25 versi. Konsekuensi dari penelitian ini mengungkapkan bahwa ekspansi pada dasarnya mempengaruhi Pendapatan Pajak Bernilai Tambah dan memiliki koefisien tajuk negatif, yang menyiratkan bahwa semakin tinggi ekspansi, Tank akan berkurang. Skala Rupiah Swapping pada dasarnya mempengaruhi Penerimaan Biaya Pertambahan Nilai dan memiliki heading koefisien yang positif, artinya semakin tinggi standar konversi rupiah maka akan terjadi ekspansi Tangki di KPP Pratama Makassar Utara.
Pengaruh Social media marketing, Diskon, dan Gaya Hidup Terhadap Impulse Buying (Studi Pada Pengguna Shopee di Kota Medan)
Authors: Ayunda Nabila , Siregar Onan Marakali
Published: April 2024

Impulse buying merupakan tindakan pembeli untuk melakukan transaksi diinginkan namun tidak dibutuhkan. Pihak Shopee harus memahami fenomena dan mempelajari faktor-faktor  penyebab konsumen melakukan impulse buying seperti social media marketing,diskon, dan gaya hidup. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh social media marketing, diskon dan gaya hidup  terhadap impulse buying. Bentuk penelitian yang digunakan adalah kuantitatif dengan pendekatan asosiatif. Populasi dalam penelitian ini adalah Pengguna Shopee di Kota Medan, dengan sampel berjumlah 100 responden, dengan teknik pengambilan sampel menggunakan purposive sampling. Data primer diperoleh melalui penyebaran kuesioner secara langsung dan data sekunder diperoleh melalui studi kepustakaan. Hasil penelitian ini menunjukkan bahwa Social Media Marketing, Diskon dan Gaya Hidup berpengaruh secara signifikan terhadap Impulse Buying. Pada pengujian simultan variabel Social Media Marketing, Diskon dan Gaya Hidup berpengaruh secara simultan dengan tingkat pengaruh sebesar  34,9%, sedangkan 65,1% sisanya dipengaruhi oleh faktor di luar model penelitian ini.