80 10 3575 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 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 Siregar, Victor Marudut Mulia Sinaga, Kalvin Hanafiah, M. Ali 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 Water is a source of much-needed living things such as daily needs and transportation routes, and also as a source of energy. Water is also essential as a water quality factor. Good water for treating cold-water ornamental fish with temperatures below 20o Celcius has a maximum water turbidity value of 10 NTU (Nephelometric Turbidity Unit); if the turbidity level is above 10 NTU, the water will be declared cloudy and affect fish health. The object of this research is ornamental aquarium fish with the type of goldfish. The research method used is qualitative. The research flow begins with observing the problem, then designing and simulating the Arduino Uno as a place to process the measuring data. The prototype of this tool aims to show changes in the level of turbidity of water from the value of water turbidity. This prototype uses the fuzzy method to assist the testing process. This study's results for five days showed that 1 out of 5 tests indicated that the aquarium water was cloudy, namely on the fifth day. The results of this study are expected to be implemented in a prototype for measuring water turbidity using the fuzzy method using a microcontroller. The design of this water turbidity measuring instrument is expected to estimate the turbidity of water or liquid correctly, precisely, accurately, with a small error rate, and notify warnings for replacing ornamental fish aquarium water. 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/539 10.31763/iota.v2i2.539 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/539/149 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]; 75-97 2774-4353 Subject The topic of the resource Turbidity Sensor Prototype Arduino Uno Microcontroller Water Monitoring Fuzzy Logic Title A name given to the resource A Prototype of Water Turbidity Measurement With Fuzzy Method using 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 Siregar, Ivana Maretha Yunus, Muhammad Siregar, Victor Marudut Mulia 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 This study aims to create a robot prototype for a garbage collection ship made using an Arduino nano microcontroller. The prototype of this garbage collection robot vessel is controlled by an Android smartphone application that is connected via Bluetooth. The prototype of the robot of the boat was made to deal with piles of garbage that can cause flooding. The method used in making the prototype ship robot along with the controller application begins with identifying the problem, namely the problem of piles of garbage, then needs analysis. Moreover, in this research, what will be developed is in terms of design, ship robot prototype, and ship robot controller design. Next is implementation and testing. The prototype of the garbage collection ship robot uses an Arduino nano microcontroller and in making a controller application using Android Basic 4. Then the trial stage was carried out on an Android smartphone. The results of this study are a prototype ship robot that can move according to commands through a controller application. 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/540 10.31763/iota.v2i3.540 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/540/150 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]; 150-168 2774-4353 Subject The topic of the resource Android Arduino Nano Microcontroller Garbage picker ship Robot Garbage collection Title A name given to the resource A Prototype of Garbage Picker Ship Robot Using Arduino Nano 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 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 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 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 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 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 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