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 Development of a Financial Literacy Pocket Book for Malay Tribe Housewives in Running a Home Industry Business ]]>
<![CDATA[Mayasari, Mayasari]]>;
<![CDATA[Putri, Rumanintya Lisaria]]>;
<![CDATA[Harsono, Iwan]]>;
<![CDATA[Wahyono, Eko]]>;
<![CDATA[Prayoga, Reza Amarta]]>;
<![CDATA[Sutrisno, Joko]]>;
<![CDATA[Suprapto, Suprapto]]>;
<![CDATA[Ristyana, Rida]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.575
<![CDATA[This study aims to identify the need for developing a financial literacy pocketbook for Malay ethnic homemakers in running a home industry business, compiling a financial literacy pocket bookmaking tool, and measuring or knowing the validation of the financial literacy pocketbook. This study uses a design-based research (DBR) approach. The subjects in this study were 25 Malay homemakers running a home industry business in Jambi City. For the implementation of field trials (in large groups) and evaluation of field trials, the researchers used action research to test the draft financial literacy pocketbook product. Researchers collected data using the method of observation, in-depth interviews, questionnaires, FGD (focus group discussion), and documentation. The data analysis used by researchers in processing research and development data used qualitative and quantitative analysis. The results of the field test showed that before the pre-test comprehension treatment was conducted, it was 57.71, while after the treatment of understanding financial literacy using a literacy pocketbook, it was known that the average result of understanding Jambi Malay homemakers about financial literacy with a post-test was 67.02 which means an increase of 9.31 points. The effect size calculation results show a value of 0.861, which is included in the high category. Overall, this study has produced a pocketbook of home industry financial literacy measuring 7 x 10 cm with 25 pages of teaching materials that professionals have validated.]]>
<![CDATA[Detection of aflatoxin contamination in corn using The Simplified Gabor Wavelet algorithm ]]>
<![CDATA[Yudistiro, Kukuh]]>;
<![CDATA[Fatah, Gatot Suharto Abdul]]>;
<![CDATA[Wibawa, Lasinta Ari Nendra]]>;
<![CDATA[Prastiyono, Yudi]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.576
<![CDATA[The quality of corn is essential to determine whether the corn is still suitable for consumption and what type of corn it is. Corn is one type of vegetable that is indispensable for the nutritional needs of the Indonesian people today and is a mixture of other essential ingredients. Corn is rich in fiber, which is good for improving digestion and overcoming constipation, controlling blood sugar levels, maintaining heart health, overcoming depression, maintaining eye health, and preventing diverticulitis. In this research, image recognition is used to determine and detect the content of aflatoxin, which is one type of abnormality or disorder in corn. This affects the quality of corn, whether corn is suitable for human consumption, and what impact aflatoxin has on the human body. on testing using parameters Non UV image, SGW Filter Image θ = 0, 90, 180 and 270, and The resulting SGW image with the number of orientations N = 4, θ = θ + pi/N, and θ = θ + 2*pi/N, The aflatoxin content in humans can cause carcinogenic or liver cancer and acute necrosis, cirrhosis, and carcinoma in the animal liver.]]>
<![CDATA[Artificial Intelligence of Internet of Things (AIoT) Technology-based Law Enforcement Process ]]>
<![CDATA[Tarigan, Muhammad Iqbal]]>;
<![CDATA[Sitepu, Noviyanti Wulandari]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.577
<![CDATA[Technological developments are increasingly developing in all fields, unstoppable in the area of law and the role of this IoT technology in solving legal problems, considering Society 5.0, which focuses on building a humane and prosperous society, especially people in Indonesia. And the role of IoT on the legal side is expected to be the answer for an appropriate and fair law enforcement process. IoT Technology collaboration with all sectors of human life, for example, legal, social and economic, as well as natural resource factors and human resources, are still needed. IoT is expected to be a tool to achieve a level of accuracy, real-time, fast, and stability. In the era of Society 5.0, all aspects were asked to be fast so as not to be left behind in any sector; the ability factor of the human being, namely human resources, also determines whether a matter or case can be appropriately resolved. This article is one of the review articles on the role of IoT in law enforcement. Some parameters within the Internet of Things form Artificial Intelligence, Deep Learning, Big Data, and Machine Learning. Solutions with AI can be seen in the lie detection system.]]>
<![CDATA[Development of WhatsApp for English Learning at Saumlaki State High School Tanimbar Islands ]]>
<![CDATA[Titirloloby, Piter]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.578
<![CDATA[The purpose of this study was to describe how WhatApps media in teaching grammar to students and describe the issue, and action research was conducted on thirty-two second-grade students. The data were collected from a questionnaire and observation checklist to assess students' engagement and how they used WhatsApp in learning. The results indicated that in cycle one, only 22, or 66%, of the students had achieved the passing grade, while in cycle 2, 32 students, or 100%, achieved the passing grade. There was an increase of 34% in students in the second cycle. The researcher finished cycle two because the total number of the student's results was standard score minimum achievement criterion 75. The students learned better in cycle 2. The students were active and participated in learning grammar using WhatsApp as media. The WhatsApp platform had the power to increase students' instructional interaction, mainly student-student interaction, followed by student-content interaction and student-teacher interaction in the teaching and learning process directly or online using WhatsApp as media. The WhatsApp platform provides participants with an open and flexible space for communicating, expressing ideas, and exchanging information, and the critical issue is WhatsApp can help students in learning grammar.]]>
<![CDATA[Fertilization Technology of Virginia Tobacco Farmers in Bojonegoro and Lamongan Districts and approach to IoT ]]>
<![CDATA[Supriyadi, Supriyadi]]>;
<![CDATA[Fatah, Gatot Suharto Abdul]]>;
<![CDATA[Putri, Rumanintya Lisaria]]>;
<![CDATA[Yogi, Yoga Angangga]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.582
<![CDATA[The districts of Jember, Bojonegoro, and Lamongan are home to Virginia tobacco shops. In Bojonegoro Regency, there are 11,522 ha and 11,517 ha of tobacco land, while there are 6697 ha and 6683 ha in Lamongan Regency. The quality of tobacco is lowered by excessive fertilization, the use of impure varieties, interplanting with chilies, and the neglectful pruning of shoots (Tirtosastro S and Taufik I, 2022). Inorganic fertilizers used in excess will deteriorate unhealthful soil (Arifin Z and Lolita ES, 2020). The issue of excessive chlorine fertilizer use results in a decrease in tobacco quality (low burning power, dull color). The Bojonegoro and Lamongan regions have lost many tobacco product industries as a result of excessive chlorine fertilizer restrictions on tobacco plants. Based on the aforementioned issues, a survey study on fertilization methods for Virginia farmers in the Bojonegoro and Lamongan Regencies is required. The goal of this study was to ascertain how fertilizers were applied by farmers and to measure the soil's and tobacco leaves' chlorine contents. The fertilization process is carried out with an approach to the Internet of Things which is necessary for fertilization automation and more optimal results.]]>
<![CDATA[Best Employee Selection Using The Additive Ratio Assesment Method ]]>
<![CDATA[Siregar, Victor Marudut Mulia]]>;
<![CDATA[Sirait, Erwin]]>;
<![CDATA[Sihombing, Lasminar Lusia]]>;
<![CDATA[Siregar, Ivana Maretha]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.589
<![CDATA[This study aims to solve the problem of selecting the best employees at Café Alvina. In order for employee performance to be further improved and more motivated in doing their work, the leadership gives awards to employees who have a good reputation in it so that all employees are motivated to be able to improve the quality of their respective work. The problem of selecting the best employees is done by building a decision support system. The DSS was built using the ARAS (Additive Ratio Assessment method) method. The criteria used consisted of discipline, responsible, diligent, and cooperation with the weight of each criterion being 0.28, 0.11, 0.19, 0.31, 0.11. The results obtained from this study are the best employee recommendations consisting of employee_004 with a score of 0.9246 ranked 1st, employee_006 with a score of 0.8244, ranked 2nd, and employee_002 with a score of 0.5446 ranked 3rd. Through this decision support system, Alvina's café manager was greatly assisted because it becomes easier to decide on the selection of the best employees at the Café.]]>
<![CDATA[The Existence of POLRI in Handling Minor Crimes of Defamation Through Social Media in the Electronic Information and Transaction Law ]]>
<![CDATA[Manurung, Andreas]]>;
<![CDATA[Hakim, Abdul]]>;
<![CDATA[Jannah, Maya]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.591
<![CDATA[The progress of information technology has positive and negative impacts; from a legal perspective, many criminal cases related to the social world in information technology occur in Indonesia. Meanwhile, the application of Law in Indonesia only prioritizes the principle of legal certainty and does not reduce the number of crimes that have happened in the State of Indonesia; until now, it has become a burden for the state when every criminal case ends up in prison. Law enforcers, the Police, the Attorney General's Office, and the Supreme Court created a restorative justice approach in applying criminal cases as a settlement mechanism outside the general court based on the principle of Justice. The application of restorative Justice is not always oriented toward criminal punishment. Still, it is more directed at aligning the interests of recovering victims and the accountability of perpetrators of criminal acts.]]>
<![CDATA[Integrated Smart Rescue Box Design With Information Systems as a Solution to Indonesian Disaster Emergency Response ]]>
<![CDATA[Supriadi, Dewi Sri Mulyana]]>;
<![CDATA[Jaya, Hendra]]>;
<![CDATA[Djawat, Yasser Abd]]>;
<![CDATA[Parenreng, Jumadi Mabe]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i1.600
<![CDATA[This study uses the design method with a prototype research model. This is motivated by the fact that Indonesia is prone to natural disasters, so preparing for an effective and efficient disaster emergency response process is necessary. The resulting innovation is an intelligent rescue box prototype product integrated with an information system as a disaster emergency response solution, especially in meeting the basic emergency needs of post-disaster refugees. The effect will consist of two, and the first is the Smart rescue box (SRB), which provides the emergency needs of evacuees in one package to meet the electricity needs of refugees. There is a solar tracker system with real-time clock (RTC) data that is set as if it can follow the direction of the sun's movement for maximum absorption of sunlight. The second product is the SRB information system which is a disaster information system consisting of several useful features and a disaster education menu that can provide insights regarding disasters and disaster information that can be accessed easily. The measurement and observation test results show that the product has worked as expected, so it is feasible. The resulting product is still in the form of a prototype so that suggestions for further research can be further developed in terms of features and technology to become a complete product to facilitate the disaster emergency response process.]]>
<![CDATA[Development of a Parking System Using the High Sensitive R503 Fingerprint Sensor for Sequential Search Algorithm Based Customer Detection ]]>
<![CDATA[Suhartono, Suhartono]]>;
<![CDATA[Parenreng, Jumadi M]]>;
<![CDATA[Syafriandi K, Fahri]]>;
<![CDATA[Zain, Satria Gunawan]]>;
<![CDATA[Suhardi, Iwan]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i2.586
<![CDATA[Today's technological developments are very sophisticated. It can be seen with various innovations in this era, from simple innovations to innovations that are trending in the world. Parking is a condition where the driver places his vehicle in a parking lot. The parking system using the Radio Frequency Identification (RFID) system has become a technology applied to parking systems, by facilitating and providing security to customers when parking, even though they have used an RFID card, the drawbacks of the system are that anyone who has an RFID card can issue the owner's vehicle another by using the same RFID card. The solution to the lack of an RFID-based parking system is by using the High Sensitive R503 Fingerprint Sensor which will make security much better than using an RFID card, by applying the Sequential Search Algorithm to detect customers in fingerprint registration applications and using the Fingerprint R503 sensor with data verification speed. average 0.78 Second to open the parking portal.]]>
<![CDATA[Development of Smart Parking Systems using RFID Sensors for Online Verification in Different Areas ]]>
<![CDATA[Dhetryansah, Andi]]>;
<![CDATA[Suhartono, Suhartono]]>;
<![CDATA[Lamada, Mustari S]]>;
<![CDATA[Zain, Satria Gunawan]]>;
<![CDATA[Sanatang, Sanatang]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v3i2.587
<![CDATA[This research aims to develop an intelligent parking system with online authentication in different areas using RFID sensors and to confirm the development results of the system through functional tests. This research is research and development (R&D) using a prototype model. The data were then analyzed using qualitative descriptive analysis techniques. The result of this study is an intelligent parking system that uses RFID sensors for online authentication in different areas, and the test results show that the average card authentication time at parking portals in different areas is 2.3 seconds. Based on the test results, the resulting smart parking system using RFID sensors for online verification in different areas can work as expected.]]>
