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All Journal Jurnal Ilmiah Teknik Industri Airlangga Journal of Innovation Management Internet of Things and Artificial Intelligence Journal

Siregar, Ivana Maretha

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Author-ID : 1910153

Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

Published : 6 Documents Claim Missing Document

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A Prototype of Garbage Picker Ship Robot Using Arduino Nano Microcontroller Siregar, Ivana Maretha; Yunus, Muhammad; Siregar, Victor Marudut Mulia
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 3 (2022): Vol. 2 No. 3 (2022): Volume 2 Issue 3, 2022 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

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.

A Design of an Electric Light Control Device Using Arduino Uno Microcontroller-Based Short Message Service Siregar, Ivana Maretha; Siagian, Nancy Florida; Siregar, Victor Marudut Mulia
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

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.

Best Employee Selection Using The Additive Ratio Assesment Method Siregar, Victor Marudut Mulia; Sirait, Erwin; Sihombing, Lasminar Lusia; Siregar, Ivana Maretha
Internet of Things and Artificial Intelligence Journal Vol. 3 No. 1 (2023): Vol. 3 No.1 (2023): Volume 3 Issue 1, 2023 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v3i1.589

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.

Co-Authors Abdul Muid Aisyah Larasati Erwin Sirait, Erwin Meganesia, Lukiswara Muhammad Yunus Ni Luh Putu Hariastuti Siagian, Nancy Florida Sihombing, Lasminar Lusia Siregar, Victor Marudut Mulia Wahdianto, Rahmad Waris Wardana, Hery Setia

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