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.
Articles
174 Documents
<![CDATA[A Performance evaluation of ESP32 Camera Face Recognition for various projects ]]>
<![CDATA[adi, Puput Dani Prasetyo]]>;
<![CDATA[Wahyu, Yuyu]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i1.512
<![CDATA[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.]]>
<![CDATA[The Decision Support System of Students Recruitment as Teacher Candidates using Multilevel Multi Attribute Utility Theory (MAUT) ]]>
<![CDATA[Wahid, Abdul]]>;
<![CDATA[Muharram, Muharram]]>;
<![CDATA[A. Rauf, Bakhrani]]>;
<![CDATA[Agung, Muhammad]]>;
<![CDATA[Yohandri, Yohandri]]>;
<![CDATA[Baharuddin, Baharuddin]]>;
<![CDATA[Sila, I Nyoman]]>;
<![CDATA[Suyanta, 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 Review of Motion Sensors as a Home Security System and approach to the Internet of Things Project ]]>
<![CDATA[Lesmana, Yandri]]>;
<![CDATA[Pane, Rahmadani]]>;
<![CDATA[Hsb, Elysa Rohayani]]>;
<![CDATA[Hakim, Lukman]]>;
<![CDATA[Agusti, Nelly]]>;
<![CDATA[Irmayani, Deci]]>;
<![CDATA[adi, Puput Dani Prasetyo]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i4.533
<![CDATA[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.]]>
<![CDATA[A Prototype of Water Turbidity Measurement With Fuzzy Method using Microcontroller ]]>
<![CDATA[Siregar, Victor Marudut Mulia]]>;
<![CDATA[Sinaga, Kalvin]]>;
<![CDATA[Hanafiah, M. Ali]]>
<![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 Prototype of Garbage Picker Ship Robot Using Arduino Nano Microcontroller ]]>
<![CDATA[Siregar, Ivana Maretha]]>;
<![CDATA[Yunus, Muhammad]]>;
<![CDATA[Siregar, Victor Marudut Mulia]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i3.540
<![CDATA[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.]]>
<![CDATA[The Internet of Things (IoT) Product Design and Modeling Amikom Purwokerto Hand Sanitizer (AMPUH) ]]>
<![CDATA[Syafaat, Alif Yahya]]>;
<![CDATA[Rozaq, Hasri Akbar Awal]]>;
<![CDATA[Maulida, Trisna]]>;
<![CDATA[Zumaroh, Agnis Nur Afa]]>;
<![CDATA[Ananda, Rona Sepri]]>;
<![CDATA[Tahyudin, Imam]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i3.544
<![CDATA[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.]]>
<![CDATA[Modern Farming Biofloc ponds for tilapia aquaculture based on the internet of things use a fuzzy logic algorithm ]]>
<![CDATA[Mabe Parenreng, Jumadi]]>;
<![CDATA[Syahrul, Syahrul]]>;
<![CDATA[Wahid, Abdul]]>;
<![CDATA[Sary, Desta Winda]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i4.548
<![CDATA[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.]]>
<![CDATA[Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm ]]>
<![CDATA[Manurung, Romarta Yemima]]>;
<![CDATA[Sari, Dewi Purwita]]>;
<![CDATA[Agustinah, Nabila]]>;
<![CDATA[Syanahieskara, Razel]]>;
<![CDATA[Tahyudin , Imam]]>;
<![CDATA[Nurfaizah, Nurfaizah]]>;
<![CDATA[Alvi Sholikhatin, Siti]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i4.550
<![CDATA[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]]>
<![CDATA[Secure Wireless Sensor Network using Cryptography for Smart Farming Systems ]]>
<![CDATA[Wahid, Abdul]]>;
<![CDATA[Juliady, Ilham]]>;
<![CDATA[Zain, Satria Gunawan]]>;
<![CDATA[Parenreng, Jumadi Mabe]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i4.554
<![CDATA[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.]]>
<![CDATA[The Best Village Apparatus Decision Support System in Beji Village with the Competency Gap Method ]]>
<![CDATA[Musyafa, Muhamad Fahmi]]>;
<![CDATA[Tahyudin, Imam]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v2i1.557
<![CDATA[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.]]>
