2 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 Triana, Latifah Adi Khoerida, Nur Isnaeni Widiawati, Neta Tri Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-19 Description An account of the resource Along with the rapid development of the culinary industry, business competition is also getting tougher. Warung Oemah Tani serves a variety of menus and drinks, but to provide satisfying service to customers, business people must try to develop new products. Under these circumstances, the menu recommendations for Warung Oemah Tani need to be analyzed so that the recommendations made are right on target. This study aims to analyze the sales of Warung Oemah Tani using the FP Growth algorithm. This algorithm identifies the data set with the highest frequency of concurrent sales (frequent itemset). The results of the association rules show that the highest support value is 0.520 and the highest confidence value is 0.929, with a minimum support of 30% and a minimum confidence of 80%. Obtained 14 rule associations that meet the minimum support and minimum confidence. 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/563 10.31763/iota.v2i2.563 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/563/160 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee.org https://ascee.org/ 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]; 111-121 2774-4353 Subject The topic of the resource FP-Growth Data Mining Rekomendasi Menu customer Sale Title A name given to the resource Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani 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 Siregar, Victor Marudut Mulia Hanafiah, M. Ali Siagian, Nancy Florida Sinaga, Kalvin Yunus, Muhammad Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-22 Description An account of the resource This research aims to solve the problem of selecting the best practical work students at the Politeknik Bisnis Indonesia. The current selection of the best practical work students at PBI does not yet use a decision support system approach. This problem is solved by building a Decision Support System using Multi-Objective Optimization based on Ratio Analysis (MOORA) method. The criteria used in this DSS consist of discipline, teamwork, skills, quality of work, and attendance. As for the results of data processing from this study, the three best alternative data were obtained, namely alternative Vivi (A6) as the 1st best Practical Work Students with a score of Yi = 36.5954, Hafiz (A1) as the 2nd best Practical Work Students with a score of Yi = 34.5339, Cahaya (A3) as the 3rd best PKL student with a score of Yi = 33.4767. Through this decision support system that has been built, the selection of the best practical work students can be made quickly and effectively. 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/562 10.31763/iota.v2i4.562 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/562/159 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]; 270-278 2774-4353 Subject The topic of the resource DSS MOORA Students Criteria Field practice Title A name given to the resource A Decision Support System For Selecting The Best Practical Work Students Using MOORA Method 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 Siregar, Ivana Maretha Siagian, Nancy Florida Siregar, Victor Marudut Mulia Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-18 Description An account of the resource This study aims to design a tool that can control electric lights remotely. The wastage of using lights often occurs due to the difficulty of the occupants of the house in controlling the lighting, especially when they have to leave the house due to various activities. Lighting needs to be controlled to turn on or not when you want to travel for a long time. In addition, lighting needs to be controlled to significantly reduce the service life of the lamp because it is on continuously. This remote light control system can make it easier for users to cut electricity usage. An electric light controller designed using SMS (Short Message Service) based on the Arduino Uno Microcontroller. This system only applies if the condition of the AC voltage originating from the local PLN is ON. System control is managed using the Atmega328 Arduino Uno Microcontroller. The language used for programming is C/Arduino language, and this tool works on GSM communication systems, especially SMS services. The result of designing this tool is that the user can control (ON/OFF) the lights without being limited by time and place as long as the cellular network is reachable. 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/560 10.31763/iota.v2i2.560 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/560/157 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. 2 (2022): Volume 2, Issue 2, 2022 [May]; 98-110 2774-4353 Subject The topic of the resource Electric Light Sort Message Service Arduino Uno Microcontroller Global System for Mobile communication Realtime-monitoring Title A name given to the resource A Design of an Electric Light Control Device Using Arduino Uno Microcontroller-Based Short Message Service 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 Siregar, Victor Marudut Mulia Siagian, Nancy Florida Date A point or period of time associated with an event in the lifecycle of the resource 2022-02-21 Description An account of the resource  study aims to create a Fingerprint Sensor Implementation System for a Fingerprint Reader Prototype Using a Microcontroller. Implementing the Fingerprint Sensor for the Fingerprint Reader Prototype is run by an application connected by a USB cable. The Fingerprint Sensor Implementation System for the Fingerprint Reader Prototype is made for fast and more accurate attendance and cannot be manipulated. The Fingerprint Sensor Implementation System for the Fingerprint Reader Prototype is the problem. Namely, the attendance problem, which is still manual using books; after that, the design and manufacture of the Fingerprint Reader prototype using a Microcontroller or applications through NetBeans. Then implementation and testing. Then at the trial stage, the Arduino application was carried out. The result of this study is the Fingerprint Sensor Implementation System for the Prototype Fingerprint Reader Using a Microcontroller and development in the Internet of Things. 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/559 10.31763/iota.v2i1.559 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/559/156 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee.org 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]; 47-59 2774-4353 Subject The topic of the resource Prototype NetBeanss Arduino Nano Microcontroller Fingerprint Internet Of Things Title A name given to the resource The Implementation of Fingerprint Sensors for Fingerprint Reader Prototypes Using a Microcontroller 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 Nabila, Putri Isma Tahyudin, Imam Munandar, Aris Ananda, Fahesta Date A point or period of time associated with an event in the lifecycle of the resource 2022-02-20 Description An account of the resource Optimal production planning is one of the essential aspects of achieving company targets. Errors in planning production result in non-maximum profit gains. Furthermore, there needs to be a method to avoid mistakes in production planning, and it is necessary to use the proper technique. Xyz Convection is one of the businesses producing unique clothing for pants. This study aims to determine the optimization of XYZ convection production in maximizing profits using linear programming. Surveys and interviews with business owners of Xyz Convection carried out data collection. The data obtained are in the form of data on the use of raw materials, operating costs, margins, and selling prices. The amount of raw material inventory of jeans fabric in the 1st week is 550, in the 2nd week is 775, in the 3rd week is 550, and in the 4th week is 650. The method used in this study is linear programming, using the simplex method. The optimal solution is to obtain maximum profit from the production of convection pants every week with a fund of 21,000,000 IDR to produce 1.167 pcs of cotton shorts, where the company will earn a profit of 35,010,000 IDR with expenses less than the existing funds, which is 20,982,147 IDR. 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/558 10.31763/iota.v2i1.558 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/558/155 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]; 35-46 2774-4353 Subject The topic of the resource Profit Optimization Linear Programming Simplex Method xyz convection Title A name given to the resource A Profit Optimization Using Linear Programming Method on XYZ Convection 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 Musyafa, Muhamad Fahmi Tahyudin, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-20 Description An account of the resource Human Resources (HR) owned by employees is an important element in a company. Human resource management is a determining aspect of the work success of a company. If employee performance can be managed properly, it is expected that the company can run all its business processes properly. The purpose of this study was to determine the best village apparatus using the Gap Competency method. This method can be used to determine the best employees from predetermined criteria. The criteria assessed are Professionalism, Discipline, and the ability to work together. Based on the results of the analysis of the 10 performances of the Beji village apparatus, the first rank was Muslikh with a value of 3.76, the second Romini with a value of 3.524, and the third Samingun with a value of 3.504. 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/557 10.31763/iota.v2i1.557 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/557/174 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee 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]; 22-34 2774-4353 Subject The topic of the resource HR Profile Matching Competency Gaps Decision Support System Competency Gap Method Title A name given to the resource The Best Village Apparatus Decision Support System in Beji Village with the Competency Gap Method 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 Wahid, Abdul Juliady, Ilham Zain, Satria Gunawan Parenreng, Jumadi Mabe Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-20 Description An account of the resource Internet of Things (IoT) technology has become part of human life. Agriculture in many parts is one of IoT implementation segment including the Cultivation of mold oysters. Internet of Things (IoT) is applied to collect data from combined sensors in the Wireless Sensor Network (WSN) will make it easy for farmers to monitor and control garden they remotely. Regardless of the application system control distance far based WSN that will make it easy for a farmer, the system has gap security, and one of them that is hacking and tapping of communication data The IoT . is really dangerous on effort if condition room mold oyster the known by someone hacker who can just is rival effort. It is a needed something method for secure communication when the data transfer process is over-guaranteed. The method used is application Base64 -based data encryption/decryption on WSN node devices and controlling and monitoring mobile devices. Based on results trials carried out after the implementation of Secure WSN with scenario tapping using the Wireshark tool show no data can be read. Analysis results show that this model could be applied as Secure WSN for Smart Farming System. 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/554 10.31763/iota.v2i4.554 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/554/153 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee.org https://ascee.org/ 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]; 248-262 2774-4353 Subject The topic of the resource Data Security Base64 Encryption IoT WSN Smart Farming Wireshark Title A name given to the resource Secure Wireless Sensor Network using Cryptography for Smart Farming Systems 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 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 Mabe Parenreng, Jumadi Syahrul, Syahrul Wahid, Abdul Sary, Desta Winda Date A point or period of time associated with an event in the lifecycle of the resource 2022-11-19 Description An account of the resource This study aims to create a smart system in controlling tilapia biofloc ponds. The type of research is laboratory experiments and the category of system testing, namely Functionality testing, is used to measure the performance of the system hardware. Testing the functionality of the prototype is tested in 2 stages, the first test begins with knowing the accuracy of sensor data and testing manually. The second test is to test the prototype as a whole, namely by giving treatment so that the performance of the prototype can be known as desired. The results obtained when the temperature is cold, the water heater heater will turn on and treatment to the pH sensor is obtained, namely an acidic pH condition, then the water pump will turn on and drain the water until the ultrasonic sensor detects the maximum water level that can be drained. Testing on feeding is by monitoring the servo successfully rotating, opening and closing the feed storage container based on the time that has been set. The results of monitoring feeding in the morning, afternoon and evening are successful and can send notifications. Based on the test results, the resulting " Modern Farming Biofloc ponds for tilapia aquaculture based on the internet of things use a fuzzy logic algorithm" can run as expected. 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/548 10.31763/iota.v2i4.548 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/548/152 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee.org https://ascee.org/ 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]; 233-247 2774-4353 Subject The topic of the resource Smart system Biofloc Fuzzy Logic Prototype Functionality Title A name given to the resource Modern Farming Biofloc ponds for tilapia aquaculture based on the internet of things use a fuzzy logic algorithm 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 Syafaat, Alif Yahya Rozaq, Hasri Akbar Awal Maulida, Trisna Zumaroh, Agnis Nur Afa Ananda, Rona Sepri 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 In previous research, an automatic hand sanitizer prototype tool was made to prevent COVID-19. The product design in this research is quite complicated and too large. Then, in other studies, a prototype tool has also been made to measure body temperature. The study also had an inefficient prototype design. So, it can be concluded that no product design model is efficient, simple, and has its charm. In this research, the concept design method consists of several stages: planning, measurement, design, and implementation. To identify the production needs that will be used in making AMPUH product design, researchers carry out measurement stages based on a schematic series (Schematic) of the product to be made. AMPUH product designs are made with shapes and models that have been adapted to their components without reducing the aesthetic value, compatibility, complexity, and design applicability. The advantage of this product design is that it always looks at the compatibility with the components that will be installed in it so that it is certain that both in terms of form and function will work well. The drawback of this product design may still leave a little free space in it to minimize the remaining free space and repair. 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/544 10.31763/iota.v2i3.544 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/544/151 Rights Information about rights held in and over the resource Copyright (c) 2022 ascee.org 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]; 169-187 2774-4353 Subject The topic of the resource Design Product IoT Corel Draw Multimedia COVID-19 Title A name given to the resource The Internet of Things (IoT) Product Design and Modeling Amikom Purwokerto Hand Sanitizer (AMPUH) Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion