International Journal of artificial intelligence research (IJAIR)
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An extraction of shapes and support vector machine methods for identification of decorative wall “Lamin” motifs of the Dayak Kenyah Pampang tribe
One of the Dayak cultures of Kalimantan Island, Indonesia is a traditional house called Lamin where each wall is decorated according to tribal characteristics. This study aims to identify the image on the Lamin wall using the Support Vector Machine (SVM) method based on the eccentricity and metric parameter values. The data of this study consisted of 50 types of images of the Lamin wall motifs of the Dayak Kenyah tribe consisting of tebengaang, dragon, crocodile, tiger, and arch which were taken from the tourist village, Pampang, Samarinda, East Kalimantan. Based on the experiment, the shape feature extraction method has produced the highest value of the eccentricity parameter which is 0.6979 and the metric parameter is 0.9953 on the image of the arch. Motif identification using the SVM method using linear, Gaussian/RBF, and polynomial kernel parameters has resulted in the highest accuracy with 80% image composition of kernel polynomial at 85%, Gaussian/RBF at 80%, and linear at 78%
A contribution spanning three time periods offered by artificial intelligence and synthetic biology
The field of synthetic biology benefits significantly from the application of artificial intelligence. I'd want to make three suggestions, which all have something to do with the past, the present, and the future of artificial intelligence. The works of Turing and von Neumann in biology and artificial systems from the past are exciting to investigate within the new framework of synthetic biology, particularly regarding the concepts of self-modification and self-replication as well as their links to the emergence and the bottom-up approach. The ongoing epistemological investigation into the emergence and the research being conducted on swarm intelligence, superorganisms, and biologically inspired cognitive architecture may result in discoveries on the potential uses of synthetic biology to explain mental processes. Finally, the current discussion on the future of artificial intelligence and the rise of superintelligence may point to some research trends for the future of synthetic biology and help to better define the boundary of concepts such as "life," "cognition," "artificial," and "natural," as well as their interconnections in theoretical synthetic biology. In addition, the rise of superintelligence may point to some research trends for the future of synthetic biolog
Can Internal, Cultural and Personal Factors Create A Culture of Innovation in SME in The Province of North Sulawesi? (Learning From COVID-19)
Many researches prove that SMEs (Small Medium Enterprises or SMEs) are thepillars of an economy. SMEs absorb a lot of labor and have a significant contributionto the economic growth of a country and region. SMEs also have a very large numberand are spread in every existing business sector, so SMEs receive serious attentionfrom both academics, researchers and the government. This study has a specificpurpose, namely to analyze and test the influence of perceived difficulties, responsesto difficuties, open-mindedness culture, creativity as well as adaptive ability),Individualism, power distance, uncertainty avoidance and masculinity / femininity),learning Capability (LC), Intellectual capital, Knowledge management, socialnetwork) on innovation culture, which is an aspect of originality or novelty in thisstudy. This study used a sample of SMEs in North Sulawesi Province and usedmultiple regression analysis techniques. The results of the analysis show thatperceived difficulties (X1), responses to difficulties (X2), open-mindedness culture(X3), creativity (X4) and adaptive ability (X5) have a significant effect (below 5%)on Innovation culture. The results of the analysis show that Learning Capability(LC) (X6), Intellectual capital (X7), Knowledge management (X8), social network(X9) have a significant effect (below 5%) on Innovation culture. The analysis resultsshow that Individualism (X10), uncertainty avoidance (X12) and masculinity /femininity (X13) have a significant effect (below 5%) on the culture of innovation.However, the power distance variable (X11) does not significantly affect the cultureof innovation. The results of the analysis show that the influence of perceiveddifficulties (X1), responses to difficulties (X2), open-mindedness culture (X3),creativity (X4) and adaptive ability (X5) has a significant effect (below 5%) oninnovation culture, remains significant even though it has been controlled for aspectsof the owner's age, ethnicity and business age. The results of testing the effect ofinternal factors (Learning Capability (LC) (X6), Intellectual capital (X7),Knowledge management (X8), social network (X9) on innovation culture (Y), showdifferent results specifically on the Learning Capability (LC) variable (X6), wherewhen controlled for aspects of ethnicity and business age, this variable becomesinsignificant on innovation culture. For the results of testing the effect of culturalcultural factors (Individualism (X10), power distance (X11), uncertainty avoidance(X12) and masculinity / femininity (X13) on innovation culture (Y), with variablecontrol of owner age, ethnicity and business age, no impact on innovation culture
Evaluation Of The Implementation Of The SELEDRI Policy Towards E-Government
Presidential Instruction No. 3 of 2003 about national policies and goals for e-government development shows the government's commitment to using information technology (IT) infrastructure to carry out government functions. Under Presidential Instruction No. 3 of 2003, the government directed various government agency officials, including governors and regents/mayors, to carry out measures to implement e-Government on a national scale. They were also instructed to develop and execute subsequent plans, collaborate with the Minister of State for Communications and Information, and ensure the president's instructions were implemented to the best of their abilities. This study focuses on identifying and addressing issues, therefore the researcher aims to understand the elements that affect the implementation of the SELEDRI programme, which has not been effective in building e-government at the Population and Civil Registration Service of Kubu Raya Regency. The researcher's choice of research method aligns with the research objectives. numerical Since it employs a method. This study employs the idea of George C. Edward Edward III, who argues that policy implementation is affected by Communication, Resources, Disposition, and Bureaucratic Structure. Thus, academics aim to do study on assessing the degree of success in Policy implementation SELEDR
Data Mining Using the K-Means Clustering Method Can be Applied to Determine Production Amounts Based on Product Sales Data at PT. Coca Cola Distribution Indonesia Bengkulu
This research applies data mining using clustering method for determining the amount of production is based on the level of product sales at PT . Coca Cola Distribution Indonesia Bengkulu branch . The algorithm used is the K -Means Clustering , where the data are grouped by similar characteristics will be included in the same group and a set of data entered into non-overlapping groups . Information displayed in the form of a group - a group of product data based on the level of sales , in order to know the amount of production in PT.Coca Cola Distribution Indonesia tailored to cluster products with sales levels high, medium and low. The testing of this research is using RapidMiner 5.3, so it will gain some clusters who really helpful for PT.Coca Cola Distribution of Indonesia in determining the number of next productio
Automatic water level controlling and monitoring system using IoT application
Water tanks have recently been widely used in many applications in households or industry. It is essential to control the water level of a tank to regulate the filling process so that the tank does not overflow or empty without being noticed. This study aims to design an automatic water level control system using an IoT application to monitor and control processes. The sensor used in this study is a water level sensor, which detects the height of the water level. It works by the principle that the more water hitting the sensor, the smaller the resistance. The sensor can see whether the reservoir has reached a certain level or is complete. The sensor will inform the Wmos R1 board ESP8266 module to turn off the water pump engine and activate it again when the water level sensor reaches a certain level. The results show that the sensor worked correctly and accurately. When the water level sensor shows a whole height level in the filling process, which is 80% filled with water, the water level sensor will inform the Wmos R1 board ESP8266 module to change the relay to the OFF condition so that the water pump engine is also OFF. Upon detecting a specific height, when 50% of the tank has been filled with water, the pump engine restarts. The real-time ON/OFF status of the water pump monitoring the water using Telegram on a smartphon
The Influence of Enterprise Resource Planning on Firm Value Mediated Financial Performance in State-Owned Commercial Banks
The development of technology and information greatly influences the progress of the business world. Various types of companies have adopted technology to improve company performance so they can compete and maintain business continuity in the future. This research aims to examine the influence of Enterprise Resource Planning (ERP) and financial performance on company value. This research uses a sample of state-owned banks registered on the IDX during the period 2015 to 2022. The sampling technique is purposive sampling by obtaining 4 state-owned banks multiplied by 8 years, namely 32 observation data. The data analysis method in this research is Structural Equation Modeling Partial Least Square (SEM-PLS) method with the help of SmartPLS 4.0 software. The research results show that ERP partially has a positive and significant effect on financial performance (NPM), and company value, and financial performance has a positive and significant effect on company value. Another finding is that financial performance is able to mediate the relationship between Enterprise Resource Planning (ERP) and company value by 0.116% and 11.6
Development of Intellectual Testing for Electric Motor Installation in Vocational Education
This study aims to understand the functionality of computerized adaptive testing software based on a website application model for the competency of electric motor installation in vocational education. The research method in this research uses research and development and the waterfall model. The research subjects are teachers and students in the electric motor installation subject. Data collection is done using the Noeeriat software instrument. The results of this study are as follows: (1) This tool can function well. This is indicated by testing on the authority of teachers (86.22%) and students (87.50%). (2) The usability level of the tool is considered very feasible in terms of functionality, display, and usefulness. (3) This tool contributes to an improvement in student learning outcomes. This tool can be used to measure the level of students' competency achievement, as a basis for compiling progress reports on learning outcomes, and as a foundation for improving the learning process
Analysis Human Resources Development of Lecturer Competency at Poltekad Kodiklatad
This research investigates and analyzes the competence of lecturers at Poltekad Kodiklatad, a military-related higher education institution. Against the background of global change and technological progress, this research aims to provide a deeper understanding of the actual conditions and challenges faced by lecturers in this context. Through descriptive research methods with a quantitative analysis approach, data was obtained through direct interviews with 50 lecturers. The data analysis process follows an inductive research pattern with interwoven or flowing interactive techniques.The research results show the condition of the Poltekad Kodiklatad and Study Program, as well as the human resources and infrastructure that support them. In measuring human resource satisfaction, the research used a questionnaire with a Likert scale of 1-5. The survey results show that human resource development, especially in developing lecturer competencies, career development and scientific research, received a high assessment. However, there are certain aspects, such as social needs and welfare needs, that show potential for improvement.It is hoped that this research will contribute to the understanding of how to improve the competence of lecturers in the polytechnic environment, especially those related to the military context. The results of this research provide valuable recommendations and input for the development of human resources in the field of military education, with the potential to make a positive contribution to the quality of education at Poltekad Kodiklatad
Volume Determination of Symmetrical Object with Distance Parameter Using Linear Regression Method
The object’s volume is a consideration in determining the quantity of products such as eggs, fruit, piles of rice, or sand. This research aims to obtain a system for determining the volume of a symmetrical object using the linear regression method in real-time, faster, more effective, and more enjoyable. This research uses segmentation methods and linear regression to determine the volume of a symmetrical object. The objects are a pile of rice and eggs which have symmetrical shapes. The shape of the symmetry in each object is a cone for a pile of rice and an oval for an egg. The results of this research are a system of symmetrical object volume determination using the linear regression method with an accuracy score of 96.48% for piles of rice and 97.84% for an egg. This system has limitations, there are the volume value must be in the data range that has been trained and the camera phone must be the same