1 10 45 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Wahid, Abdul Muharram, Muharram A. Rauf, Bakhrani Agung, Muhammad Yohandri, Yohandri Baharuddin, Baharuddin Sila, I Nyoman Suyanta, Suyanta Date A point or period of time associated with an event in the lifecycle of the resource 2022-04-25 Description An account of the resource Recruitment is an important aspect of human resource management at a university, particularly at Makassar State University. Selection is a step in the recruitment process that determines whether prospective students who apply are a good fit for the program of study. The advancement of information systems facilitates the recruitment registration process. The decision support system is present to assist decision-makers in receiving appropriate recommendations for prospective teacher students who have been selected. This study employs the MAUT method's development, which is carried out in stages, hence the Multi-Level MAUT. Because assessment metrics are classified, we combine several MAUT methods to reach a final decision. The algorithm used produces good results, namely the ability to rank correctly based on stakeholder preferences. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/513 10.31763/iota.v2i2.513 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/513/147 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]; 60-74 2774-4353 Subject The topic of the resource Decision Support System Multi Attribute Utility Theory Student Recruitment Teacher Candidate Recruitment Title A name given to the resource The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT) Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Yulianto, I Putu Eka adi, Puput Dani Prasetyo Kuncoro, Eko Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-13 Description An account of the resource To assist soldiers in training agility and accuracy, a technology is needed for movement and targets, many factors need to be considered, such as field conditions, target movement and personnel movement towards the technology used, understanding of shooting theory and the physical and psychological conditions of the personnel themselves. To realize this application, the writer uses communication to move the gunshot wound to be tested using a long-range radio nRF24l01 which functions to send and receive data between the sensor and the gunshot wound, and Lora 1278 is used to transmit data obtained from the detection of microwave radar sensors processed by Arduino which is then sent to the receiver on a gunshot wound. Parameters consisting of throughput, delay, packet loss, RSSI, and SNR greatly affect the quality of data transmission, and from testing the best data quality can be obtained at a distance of 50 meters. Based on the test data for the distance of 80 m, 70 m, and 50 m, the greatest delay value was obtained at a distance of 80 m at 0.143 s, with packet loss of 0.75%.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/353 10.31763/iota.v1i1.353 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/353/93 Rights Information about rights held in and over the resource Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 1-11 2774-4353 Subject The topic of the resource Sensor Radar Microwave, Arduino Lora 1278 Lcd Title A name given to the resource Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-13 Description An account of the resource This study aims to examine the ability and Performance or Quality of Services of the IEEE 802.15.4 or ZigBee Radio Frequency module on the sensor node ZigBee based. Furthermore, ZigBee's communication capabilities i.e., Tree, Star, and mesh networking were developed on the internet or Internet of Thing using RaspBerryPi 4 as the Internet Gateway. The sensors used e.g., Pulse sensor and temperature and Humidity Sensor. Moreover, the Spectrum Analyzer is used to measure the Radio Frequency Value (-dBm) per Channel (CH1 to CH12) on the Zigbee module (EDs and CN) communication at different distances,on the Mesh or Tree ZigBee Communication, ZR can be used, at Point to Point ZigBee, the role of ZR is neglected. Energy efficiency battery ZigBee sensor nodes need to be considered to obtain sensor nodes Long Life, moreover, RSSI (-dBm) is the key to the analysis of sensor node communication systems on different sensor node clustering, including Throughput, PacketLoss sensor data, and data analysis on Application Server. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/360 10.31763/iota.v1i1.360 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/360/92 Rights Information about rights held in and over the resource Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal https://ascee.org/user/about Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 50-62 2774-4353 Subject The topic of the resource ZigBee RSSI Throughput PacketLoss Application Server Title A name given to the resource A ZigBee Test Performance with DHT11 Temperature sensor Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo siregar, Victor M.M. Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-12 Description An account of the resource This study discusses the Performance of Moisture soil sensor, which is useful as a sensor to detect soil moisture level used as plant nutrition. The monitoring process is carried out in real-time using internet of things technology based on LoRa or Long-Range Radio Frequency (IoT-LoRa). The application server used is Thingspeak. With this research, agricultural processes and monitoring can be carried out dynamically and efficiently. Therefore, when the soil conditions are dry or the soil moisture level is <300, it will immediately affect automatic watering by opening the valve or rotating the Servo motor. Furthermore, the watering process can be done automatically by looking at the soil conditions on potted plants or agricultural land. The position of the sensor on the ground level is not immediately removed and moved to another place, but it is always in the same condition and location, so the Adaptive Data Rate mechanism is used for the management of Power Consumption on IoT-LoRa Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/495 10.31763/iota.v1i2.495 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/495/135 Rights Information about rights held in and over the resource Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 120-132 2774-4353 Subject The topic of the resource moisture soil monitoring IoT plants LoRa Title A name given to the resource A Soil moisture sensor based on Internet of Things LoRa Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Mustamu, Novilda Elizabeth siregar, Victor M.M. Sihombing, Volvo Date A point or period of time associated with an event in the lifecycle of the resource 2021-10-14 Description An account of the resource Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/501 10.31763/iota.v1i4.501 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/501/141 Rights Information about rights held in and over the resource Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]; 221-235 2774-4353 Subject The topic of the resource Automatic Spraying drone internet-server monitoring power consumption Title A name given to the resource Drone simulation for agriculture and LoRa based approach Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Wahyu, Yuyu Date A point or period of time associated with an event in the lifecycle of the resource 2022-02-18 Description An account of the resource Images Recognition and Face Recognition are a form of artificial intelligence developed on Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-time Object Detection and Images Recognition using Python language. In this research, the tool trying to be used is the ESP32 camera and his approach to several types of study, such as smart door locks.  To activate this ESP32 camera, use the ATmega 328 mini Microcontroller, Arduino board, and FTDI Programmer.  The thing that can be analyzed is the delay or inference time (ms) on the ESP32 camera.  Face recognition technology in this research is devoted to using the ES32 camera, which is expected to be an inexpensive image recognition solution.  This research using the ESP32 camera was made as easy as possible to be applied by everyone, but by not leaving the analysis side, one of which is on the time side of the camera's detection of the object in front of it, how far and fast (ms), this object can be explicitly detected.  Speed is seen from the resolution specifications used for face recognition and image recognition, such as CIF and QVGA, and throughput (bytes) analysis of ESP32-Cam and Server using Wireshark. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/512 10.31763/iota.v2i1.512 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/512/146 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February]; 10-21 2774-4353 Subject The topic of the resource face recognition esp32 camera intelligent detection smart door lock Artificial intelligence Title A name given to the resource A Performance evaluation of ESP32 Camera Face Recognition for various projects Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lesmana, Yandri Pane, Rahmadani Hsb, Elysa Rohayani Hakim, Lukman Agusti, Nelly Irmayani, Deci adi, Puput Dani Prasetyo Date A point or period of time associated with an event in the lifecycle of the resource 2021-11-19 Description An account of the resource Home security is an essential factor and must be maintained; currently, the development of technology or security systems continues to be improved, one of which is Eye Retina and Artificial Intelligence. in this research, the use of Motion Sensors in Home Security, performance evaluation, and future development. In this time, more crimes occur in our environment, one of which is theft or breaking into people's homes in various areas; this problem is disturbing to residents in areas where these crimes often occur, even though so far, residents have used many methods to prevent crime, one of which is installing CCTV. However, thieves still have managed to escape the CCTV surveillance. But suppose we use a security system that can make a sound. In that case, the sound can make criminals cancel their intention to steal because the sound disturbs their concentration and can also wake the house owner or tell residents about a crime in the house. And in this article, I will describe a home security system. This system requires several supporting equipment, such as PIR, Arduino, Buzzer, and other tools. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/533 10.31763/iota.v1i4.533 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/533/148 Rights Information about rights held in and over the resource Copyright (c) 2021 ascee.org https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]; 265-275 2774-4353 Subject The topic of the resource Microcontroller Arduino home security Motion Sensor PIR sensor IoT Title A name given to the resource A Review of Motion Sensors as a Home Security System and approach to the Internet of Things Project Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Aditya, Moch. Vicky Setiawan, Aries Boedi rabi, Abdur Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-13 Description An account of the resource a Speech Recognition is a system used to recognize word commands from human voices and then translated them into data that can be understood by a computer. The advantages of Speech Recognition include speed and ease of use. Merdeka Malang is a private university founded on January 29, 1964. The University of Merdeka Malang still doesn’t have a strategy in recommending new students based on historical data calculations in choosing faculties. and majors. In calculating the history, if you use a manual system, they will be constrained by the time and accuracy of the data, causing the data to be less valid.Therefore, there is a need for a system that can exchange data in real-time so that the data displayed is always up to date without manual data updating. This process is useful for monitoring and accelerating the process of calculating student interest data, which can later be recommended to future new students. Moreover, The speech technique used is using speech recognition which is used for processing speech data on smartphones while sending data using the XAMPP web server which is used to exchange data from smartphones to servers.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/355 10.31763/iota.v1i1.355 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/355/95 Rights Information about rights held in and over the resource Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 26-37 2774-4353 Subject The topic of the resource speech recognition realtime web server Title A name given to the resource Implementation of The Speech Recognition System Using a real time web Server Based Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Fitriani, Intan Indri Agustina, Nur Ngaenun Fajariyanti, Alya Nur Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-10 Description An account of the resource The success of a convection business is determined by the materials used. The more the need for orders at GORICH Industry and production convection, the business owner must be competent in producing and selecting superior materials so that customers feel satisfied with the products purchased. The number of materials and the various criteria for these materials requires a decision support system as a solution for selecting the best materials, which is used as a recommendation for material selection to prospective buyers. This method was chosen for this study using the Weighted Product method because it can determine the weight value for each attribute; in this case, it can be followed by ranking, which will be able to select each quality from the best alternative from several existing choices. From the results of the analysis, it was also found that the jersey material alternative recommended at Gorich Industry and Production fell on the A8 option, namely Emboss material. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/568 10.31763/iota.v2i3.568 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/568/176 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]; 198-209 2774-4353 Subject The topic of the resource Convection Decision Support System Weighted Product business industry Title A name given to the resource The Weighted Product Implementation In Selection of Superior Jersey Materials in Gorich Industry and Production Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Manurung, Romarta Yemima Sari, Dewi Purwita Agustinah, Nabila Syanahieskara, Razel Tahyudin , Imam Nurfaizah, Nurfaizah Alvi Sholikhatin, Siti Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-21 Description An account of the resource Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation sector will be mined to support decision-making information. This research purpose is to analyze the tourism business number in the entertainment and recreation sectors. The method is using predictive Apriori algorithm. The data has been tested using Knime software to process data on the number of tourism businesses in the entertainment and recreation sector at the domestic level by using business data whose numbers are increasing or decreasing. Starting from entering nodes 1, 2 and 3 to getting node 4, which is the final result. The results obtained show the data set that produces the final result for every 1 tourism business data. The result obtained that the tourism number in entertainment and recreation sectors are increasing. Furthermore, the prediction result of entertainment and recreation which have best accuracy are balls, discotheques, massage parlors, karaoke, live music, massage parlors, sports and physical fitness centers, family recreation facilities and spa Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/550 10.31763/iota.v2i4.550 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/550/158 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]; 263-269 2774-4353 Subject The topic of the resource Predictive A priori Data Mining Tourism Businesses knime Entertainment Title A name given to the resource Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion