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Airline ticket reservation using NFC-based single identity Mikhael Bagus Renardi; Noor Cholis Basjaruddin; Supriyadi Supriyadi; Kuspriyanto Kuspriyanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp384-391

Abstract

Airline ticket reservations can be completed via ticket counters or online. To reduce passenger data redundancy, Single Identity (SI) may be required to input passenger data. In Indonesia, SI is utilised in identity cards using Near Field Communication (NFC), called electronic Kartu Tanda Penduduk (e-KTP). However, the use of e-KTP is not optimal yet because it is still used in the same way as the conventional one. Data input using SI can be done by tapping the e-KTP on a NFC-enabled machine, and the user is required to select the passengers’ names. The process of data input may be simplified, resulting in a higher transaction speed. This research result demonstrated that there was a slight difference of the time required between the two methods for ticket reservations. The time efficiency using SI through ticket counters was 48%, while the online reservation using SI was 45%. Further research may implement the validation methods, such as using PIN or fingerprint.
Hardware Simulation of Active Lane Keeping Assist Based on Fuzzy Logic Noor Cholis Basjaruddin; Kuspriyanto Kuspriyanto; Didin Saefudin; Alditama Rachman
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp321-326

Abstract

Accidents due to cross the lane (lane departure crash) of achieving 19% of all accidents. These accidents mostly caused because the driver is not concentrating or dozing. A device that can help the driver so that the vehicle does not exit lanes known as Active Lane Keeping Assist (ALKA). ALKA is a subsystem of Advanced Driver Assistance System (ADAS) and is now used in several brands of cars namely Audi, BMW, and Ford. ALKA useful to help the driver, especially on roads with monotonous situations such as toll roads. This paper presents the development of fuzzy logic-based algorithm for ALKA. A battery toy car is used as a hardware simulation to test the algorithm in real time situation. The test results at three different speeds are slow, medium,   and   high   indicate   that   the   algorithm   can   work according to design.
Single identity in check-in using NFC in airport Mikhael Bagus Renardi; Noor Cholis Basjaruddin; Kuspriyanto Kuspriyanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1629-1637

Abstract

An increase in transactions in airports is in line with a growing number of airline passengers, thus, a system which can enhance the service may be required. One of the concerns related to airline services is the long time for transactions due to the time required for each transaction and the number of transactions for each passenger. One of the transactions which require long time is the check-in process. In addition, the conventional check-in process also requires paper which its use is rapidly rising due to the increasing number of passengers. Hence, an NFC (Near Field Communication)-based system can be applied to accelerate transactions and to reduce the use of paper. Transactions in airports require several documents including booking reference and passengers’ identity cards, and both of which can be digitally stored in an NFC device. This study revealed that the implementation of SI could accommodate the check-in process in airports and decrease the redudancy of passenger data.
Baggage Claim in Airports using Near Field Communication Mikhael Bagus Renardi; Kuspriyanto Kuspriyanto; Noor Cholis Basjaruddin; Anton Prafanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp442-448

Abstract

The popularity of public transportation has increased as infrastructures have been repaired and other supporting facilities have been added. One of the facilities which can be added in the transportation system is the implementation of Near Field Communication in order to accelerate each transaction in the transportation system. In airports, transaction activities need to be done efficiently, like claiming baggage at the baggage carousel. The speed of transaction to claim the baggage depends on the number of officers, passengers, and the amount of baggage brought by the passengers. In the conventional system, the most effective way of getting the maximum speed of transaction is to have officers as many as the number of passengers, but this is not efficient regarding the use of human resources. The use of Near Field Communication can solve the problem related to the efficiency of resources, safety, and the increasing speed of transaction.
Winner-Takes-All based Multi-Strategy Learning for Information Extraction Dwi Hendratmo Widyantoro; Kurnia Muludi; Kuspriyanto Kuspriyanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7935-7945

Abstract

This paper proposes a winner-takes-all based multi-strategy learning for information extraction. Unlike the majority of multi-strategy approaches that commonly combine the prediction of all base learnings involved, our approach takes a different strategy by employing only the best, single predictor for a specific information task. The best predictor (among other predictors) is identified during training phase using k-fold cross validation, which is then retrained on the full training set. Empirical evaluation on two benchmarks data sets demonstrates the effectiveness of our strategy. Out of 26 information extraction cases, our strategy outperforms other information extraction algorithms and strategies in 16 cases. The winner-takes-all strategy in general eliminates the difficult situation in multi-strategy learning when the majority of base learners cannot make correct prediction, resulting in incorrect prediction on its output. In such a case, the best predictor with correct prediction  in our strategy will take over for the overal prediction.
Adaptive Light Control Berbasis Kendali Fuzzy Noor Cholis Basjaruddin; Didin Saefudin; Richar Fredian; Kuspriyanto Kuspriyanto
Jurnal Rekayasa Elektrika Vol 14, No 2 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1369.567 KB) | DOI: 10.17529/jre.v14i2.10996

Abstract

Standard headlights will shine with a fixed intensity even though the environmental light changes. High-intensity lights sometimes make other drivers glare and potentially cause accidents. Adaptive Light Control (ALC) is a car headlights control system that can automatically adjust the intensity of the lamp according to the intensity of the light environment. In this research, we developed ALC which was able to regulate the intensity of the lamp according to the intensity of the environmental light including the light of the car in front. Light settings are performed using a fuzzy control system by utilising environmental light intensity and the distance of the car to the object as input. The developed ALC system was tested on remote control cars equipped with sensors and microcontrollers. The intensity of headlight begins to fade on the distance of the car to the object of 92 cm for objects in front of, 108 cm for objects on the left, and 22 cm for objects on the right.
Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy Noor Cholis Basjaruddin; Kuspriyanto; Didin Saefudin; Ganda Putra
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1153.069 KB)

Abstract

About 10% of collisions resulting in death is due to frontal collision. Head-on Collision Avoidance System (HCAS) is a device that can prevent a frontal collision by means of braking or evasive. Two ultrasonic sensors are used to monitor the vehicles in front and to the right. Two distances are observed by sensors, then become input for decision making system based on fuzzy logic. This decision-making system output is the vehicle forward, stop, or evasive movement. Simulation result using a remote control car proves that the decision making system designed with fuzzy logic can work with a success rate of over 90%.
Adaptive Light Control Berbasis Kendali Fuzzy Noor Cholis Basjaruddin; Didin Saefudin; Richar Fredian; Kuspriyanto Kuspriyanto
Jurnal Rekayasa Elektrika Vol 14, No 2 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i2.10996

Abstract

Standard headlights will shine with a fixed intensity even though the environmental light changes. High-intensity lights sometimes make other drivers glare and potentially cause accidents. Adaptive Light Control (ALC) is a car headlights control system that can automatically adjust the intensity of the lamp according to the intensity of the light environment. In this research, we developed ALC which was able to regulate the intensity of the lamp according to the intensity of the environmental light including the light of the car in front. Light settings are performed using a fuzzy control system by utilising environmental light intensity and the distance of the car to the object as input. The developed ALC system was tested on remote control cars equipped with sensors and microcontrollers. The intensity of headlight begins to fade on the distance of the car to the object of 92 cm for objects in front of, 108 cm for objects on the left, and 22 cm for objects on the right.