Internet of Things and Artificial Intelligence Journal
Internet of Things and Artificial Intelligence Journal (IOTA) is a journal that is officially under the auspices of the Association for Scientific Computing, Electronics, and Engineering (ASCEE), Internet of Things and Artificial Intelligence Journal is a journal that focuses on the Internet of Things (IoT), ISSN 2774-4353, publishing the latest papers in the IoT field and Artificial Intelligence (AI) i.e., Machine Learning (ML), and Deep Learning (DL)., etc., Topics can be included in this journal : IoT for various applications ( medical, sport, agriculture, smart city, smart home, smart environment, etc.) IoT communication and networking protocols ( LoRa, WiFi, Bluetooth Low Energy, etc.) IoT enabling technologies IoT system architecture IoT with a Recently Sensors Technology IoT with Wireless Sensor Network (WSNs) Technology Cloud-based IoT IoT data analytics IoT Security IoT Management Services IoT with Low Power and Energy Harvesting Future technologies for IoT Future Internet design for IoT Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) Drone or UAV, and IoT Analyzes IoT with a Financial Technology (FINTECH) Managemen approach IoT for Education Technology IoT for Industry Computers & Security :: computer security, audit, control and data integrity in all sectors - industry, commerce and academia Computer application for Economy, Finance, Business, Micro, Small & Medium Enterprises (MSMEs), Accounting, Management, and other sectors Review articles on international & national legal rules in the use of computer software, internet of things, frequency usage, etc. Internet of Things and Artificial Intelligence Journal has a frequency of being published 4 times a year or 4 issues every year (February, May, August, and November) with the Peer review process.
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<![CDATA[The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT) ]]>
<![CDATA[Abdul Wahid]]>;
<![CDATA[Muharram]]>;
<![CDATA[Bakhrani A. Rauf]]>;
<![CDATA[Muhammad Agung]]>;
<![CDATA[Yohandri]]>;
<![CDATA[Baharuddin]]>;
<![CDATA[I Nyoman Sila]]>;
<![CDATA[Suyanta]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i2.513
<![CDATA[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.]]>
<![CDATA[A Prototype of Water Turbidity Measurement With Fuzzy Method using Microcontroller ]]>
<![CDATA[Victor Marudut Mulia Siregar]]>;
<![CDATA[Kalvin Sinaga]]>;
<![CDATA[M. Ali Hanafiah]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i2.539
<![CDATA[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.]]>
<![CDATA[A Design of an Electric Light Control Device Using Arduino Uno Microcontroller-Based Short Message Service ]]>
<![CDATA[Ivana Maretha Siregar]]>;
<![CDATA[Nancy Florida Siagian]]>;
<![CDATA[Victor Marudut Mulia Siregar]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i2.560
<![CDATA[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.]]>
<![CDATA[Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani ]]>
<![CDATA[Latifah Adi Triana]]>;
<![CDATA[Nur Isnaeni Khoerida]]>;
<![CDATA[Neta Tri Widiawati]]>;
<![CDATA[Imam Tahyudin]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i2.563
<![CDATA[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.]]>
<![CDATA[Decision Support System for Muhammadiyah Pekuncen Islamic Junior High School in Determining Excellent Students Using the AHP Method ]]>
<![CDATA[Felinda Aprilia Rahma]]>;
<![CDATA[Faoziyah Fahiya Diniyati]]>;
<![CDATA[Septi Oktaviani Nur Hidayah]]>;
<![CDATA[Imam Tahyudin]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i2.564
<![CDATA[MTs Muhammadiyah Pekuncen is one of the MTs in the Banyumas Regency area where each year determines superior students and gets a 50% tuition discount for these students, with the aim of motivating students to become even better. Excellent students are students with high achievement, noble character and good behavior. Determination of superior students at MTs Muhammadiyah Pekuncen is still done manually, namely by deliberation between the teacher council which results in differences of opinion. Therefore we need a system that can determine superior students fairly without taking sides with any party and can be accepted by teachers and students. In this study, it will produce data on students who are selected to be superior students with 5 criteria including attitude, attendance, social, activity and achievement based on the AHP algorithm process. With the existence of a Decision Support System using the Analytical Hierarchy Process method it is proven to produce accurate values in determining superior students at Mts Muhammadiyah Pekuncen with a total value of 0.4464 a class IX student named Seftria Salsabila Putri was selected as a superior student.]]>
