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 Profit Optimization Using Linear Programming Method on XYZ Convection ]]>
<![CDATA[Nabila, Putri Isma]]>;
<![CDATA[Tahyudin, Imam]]>;
<![CDATA[Munandar, Aris]]>;
<![CDATA[Ananda, Fahesta]]>
<![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.v2i1.558
<![CDATA[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.]]>
<![CDATA[The Implementation of Fingerprint Sensors for Fingerprint Reader Prototypes Using a Microcontroller ]]>
<![CDATA[Siregar, Victor Marudut Mulia]]>;
<![CDATA[Siagian, Nancy Florida]]>
<![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.v2i1.559
<![CDATA[ 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.]]>
<![CDATA[A Design of an Electric Light Control Device Using Arduino Uno Microcontroller-Based Short Message Service ]]>
<![CDATA[Siregar, Ivana Maretha]]>;
<![CDATA[Siagian, Nancy Florida]]>;
<![CDATA[Siregar, Victor Marudut Mulia]]>
<![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[A Decision Support System For Selecting The Best Practical Work Students Using MOORA Method ]]>
<![CDATA[Siregar, Victor Marudut Mulia]]>;
<![CDATA[Hanafiah, M. Ali]]>;
<![CDATA[Siagian, Nancy Florida]]>;
<![CDATA[Sinaga, Kalvin]]>;
<![CDATA[Yunus, Muhammad]]>
<![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.v2i4.562
<![CDATA[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.]]>
<![CDATA[Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani ]]>
<![CDATA[Triana, Latifah Adi]]>;
<![CDATA[Khoerida, Nur Isnaeni]]>;
<![CDATA[Widiawati, Neta Tri]]>;
<![CDATA[Tahyudin, Imam]]>
<![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[Rahma, Felinda Aprilia]]>;
<![CDATA[Diniyati, Faoziyah Fahiya]]>;
<![CDATA[Hidayah, Septi Oktaviani Nur]]>;
<![CDATA[Tahyudin, Imam]]>
<![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.]]>
<![CDATA[Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method ]]>
<![CDATA[Khotimah, Khusnul]]>;
<![CDATA[Anggraini, Lintang Wahyu]]>;
<![CDATA[Alfirnanda, Weersa Talta]]>;
<![CDATA[Tahyudin, Imam]]>
<![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.v2i4.566
<![CDATA[The Indonesia Smart College Card Program (KIP-K) is a tuition assistance program (scholarship) from the Government through the Ministry of Education, Culture, Research and Technology (Kemdikbudristek). In the KIP-K scholarship selection process, criteria are needed to determine who is right to receive the KIP-K scholarship. This study aims to carry out the process of determining the ranking of KIP-K scholarship recipients based on the TOPSIS method. To determine scholarship recipients with outstanding achievements, Amikom Purwokerto University selects prospective scholarship recipients based on several criteria. The criteria used are Student DTKS Status, Parents' Income, Parents' Dependents, Average School Exams, Student Transportation Costs. The results obtained from this study are in the form of ranking obtained from the highest value to the lowest value. There were 112 prospective students who were entitled to get KIP-K scholarships out of a total of 314 applicants.]]>
<![CDATA[The Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse ]]>
<![CDATA[Satriani, Laela Jati]]>;
<![CDATA[Wulandari, Hendita Ayu]]>;
<![CDATA[Arifa, Pujana Nisya]]>;
<![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.v2i3.567
<![CDATA[The Cosmetic Warehouse in this research is located in Purwokerto, a one-effort trade that provides beauty products. Cosmetic Warehouse Purwokerto had stood up since 2013 when Navissatul Darojah Gusmiati was founded with ten employees. The study aimed to apply the weighted product method as a decision support system for determining employee bonuses in the Purwokerto cosmetic warehouse and giving less salary and bonuses following performance employees. The Weighted Product method is a decision-making method with specific criteria. The weighted Product method is used to decide with multiplication for link attribute rating. Rating each attribute must be promoted, especially formerly with weight attribute in question; in a study, this is the data used, i.e., result data interview in the form of a later questionnaire processed by Weighted method product (WP). This research can produce results in the form of calculations with the used algorithm WP company with clear and detailed about giving employee bonuses with existing criteria. Moreover, score preference was obtained by an employee named Indri with a value equal to 0.105670687. for the score, 2nd preference was obtained by Princess with a value equal to 0.10356631, and for 3rd, obtained by Gio with a value equal to 0.101039953.]]>
<![CDATA[The Weighted Product Implementation In Selection of Superior Jersey Materials in Gorich Industry and Production ]]>
<![CDATA[Fitriani, Intan Indri]]>;
<![CDATA[Agustina, Nur Ngaenun]]>;
<![CDATA[Fajariyanti, Alya Nur]]>;
<![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.v2i3.568
<![CDATA[The success of a convection business is determined by the materials used. The more the need for orders at GORICH Industry and production convection, the business owner must be competent in producing and selecting superior materials so that customers feel satisfied with the products purchased. The number of materials and the various criteria for these materials requires a decision support system as a solution for selecting the best materials, which is used as a recommendation for material selection to prospective buyers. This method was chosen for this study using the Weighted Product method because it can determine the weight value for each attribute; in this case, it can be followed by ranking, which will be able to select each quality from the best alternative from several existing choices. From the results of the analysis, it was also found that the jersey material alternative recommended at Gorich Industry and Production fell on the A8 option, namely Emboss material.]]>
<![CDATA[Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm ]]>
<![CDATA[Wardani, Syafa Wajahtu]]>;
<![CDATA[Lestari, Silvia Windri]]>;
<![CDATA[Daffa, Nauffal Ammar]]>;
<![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.v2i3.569
<![CDATA[Every company or organization must have the right strategy to continue business or organizational activities. If not used, product sales data at the company will only become a pile of data; of course, it is regrettable if it is not used properly. The company can use the most product sales data to determine the next marketing strategy. To find out this data (the most sales), Association Rules Analysis is needed on the FP-Growth Algorithm method. This research aims to determine the association rule of Java ATK sales using the FP-Growth algorithm. This algorithm can be used for extensive data sets and to process Big Data. The results of this study are the FP Growth algorithm using association rules, which can be implemented in bookstore sales data with support count and minimum confidence parameters. A decimal value of 0.8 can form a product purchase correlation to increase stationery sales in Java Ateka. The rule obtained from the results of the FP-Growth calculation is that there are three transactions where if you buy item A, you will buy item B.]]>
