Kuspriyanto Kuspriyanto
Institut Teknologi Bandung

Published : 12 Documents
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Fault Tolerant Air Bubble Sensor using Triple Modular Redundancy Method Basjaruddin, Noor Cholis; Priyana, Yoga; Kuspriyanto, Kuspriyanto
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.973 KB)

Abstract

Detection of air bubbles in the blood is important for various medical treatments that use Extracorporeal Blood Circuits (ECBC), such as hemodialysis, hemofiltration and cardio-pulmonary bypass. Therefore a reliable air bubble detector is needed. In this study designed a fault tolerant air bubble detector. Triple Modular Redundancy (TMR) method is used on the sensor section. A voter circuit of the TMR will choose one of three sensor output to be processed further. Application of TMR will prevent errors in the detection of air bubbles, especially if the sensor fails to work
A Novel Part-of-Speech Set Developing Method for Statistical Machine Translation Sujaini, Herry; Kuspriyanto, Kuspriyanto; Akhmad Arman, Arry; Purwarianti, Ayu
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

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Abstract

Part of speech (PoS) is one of the features that can be used to improve the quality of statistical-based machine translation. Typically, the language PoS determined based grammar of the language or adopt from other languages PoS. This work aims to formulate a model to developing PoS as linguistic factors to improve the quality of machine translation automatically. The research method using word similarity approach, where we perform clustering of the words contained in a corpus. Further classes will be defined as PoS set obtained for a given language.We evaluated the results of the PoS that defined computational results using machine translation system MOSES as the system by comparing the results of the SMT are using PoS sets generated manually, while the assessment of the system using BLEU method. Language that will be used for evaluation is English as the source language and Indonesian as the target language.
A Novel Part-of-Speech Set Developing Method for Statistical Machine Translation Sujaini, Herry; Kuspriyanto, Kuspriyanto; Akhmad Arman, Arry; Purwarianti, Ayu
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

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Abstract

Part of speech (PoS) is one of the features that can be used to improve the quality of statistical-based machine translation. Typically, the language PoS determined based grammar of the language or adopt from other languages PoS. This work aims to formulate a model to developing PoS as linguistic factors to improve the quality of machine translation automatically. The research method using word similarity approach, where we perform clustering of the words contained in a corpus. Further classes will be defined as PoS set obtained for a given language.We evaluated the results of the PoS that defined computational results using machine translation system MOSES as the system by comparing the results of the SMT are using PoS sets generated manually, while the assessment of the system using BLEU method. Language that will be used for evaluation is English as the source language and Indonesian as the target language.
Information Interchange Layer based on Classification of Information Use (IU) Albarda, Albarda; Supangkat, Suhono Harso; Kuspriyanto, Kuspriyanto; Sembiring, Jaka
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 12, No 2: June 2014
Publisher : Universitas Ahmad Dahlan

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Abstract

Information characteristics in classification of IU directly related to aspects of information usage by user in enterprise to accomplish their activities. Feature extraction from information usage in three layer of enterprise management used as parameter for this characteristic. Characteristics and dimension applied to develop middle-ware system (called Information Interchange Layer) that bridges a common issue ie information silo, to optimize a services of information resources in enterprise
DT-MSOF Strategy and its Application to Reduce the Number of Operations in AHP Yulianto, Fazmah Arif; Kuspriyanto, Kuspriyanto; Suharsono, Teguh Nurhadi
Journal of ICT Research and Applications Vol 12, No 3 (2018)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (260.172 KB) | DOI: 10.5614/itbj.ict.res.appl.2018.12.3.3

Abstract

A computing strategy called Double Track–Most Significant Operation First (DT-MSOF) is proposed. The goal of this strategy is to reduce computation time by reducing the number of operations that need to be executed, while maintaining a correct final result. Executions are conducted on a sequence of computing operations that have previously been sorted based on significance. Computation will only run until the result meets the needs of the user. In this study, the DT-MSOF strategy was used to modify the Analytic Hierarchy Process (AHP) algorithm into MD-AHP in order to reduce the number of operations that need to be done. The conventional AHP uses a run-to-completion approach, in which decisions can only be obtained after all of the operations have been completed. On the other hand, the calculations in MD-AHP are carried out iteratively only until the conditions are reached where a decision can be made. The simulation results show that MD-AHP can reduce the number of operations that need to be done to obtain the same results (decisions) as obtained by conventional AHP. It was also found that the more uneven the distribution of priority values, the more the number of operations could be reduced.  
Towards host-to-host meeting scheduling negotiation Megasari, Rani; Kuspriyanto, Kuspriyanto; Mauludi Husni, Emir; Widyantoro, Dwi Hendratmo
International Journal of Advances in Intelligent Informatics Vol 1, No 1 (2015): March 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v1i1.6

Abstract

This paper presents a different scheme of meeting scheduling negotiation among a large number of personnel in a heterogeneous community. This scheme, named Host-to-Host Negotiation, attempts to produce a stable schedule under uncertain personnel preferences. By collecting information from hosts’ inter organizational meeting, this study intends to guarantee personnel availability. As a consequence, personnel’s and meeting’s profile in this scheme are stored in a centralized manner. This study considers personnel preferences by adapting the Clarke Tax Mechanism, which is categorized as a non manipulated mechanism design. Finally, this paper introduces negotiation strategies based on the conflict handling mode. A host-to-host scheme can give notification if any conflict exist and lead to negotiation process with acceptable disclosed information. Nevertheless, a complete negotiation process will be more elaborated in the future works.
DEVELOPING ADAPTIVE CRUISE CONTROL BASED ON FUZZY LOGIC USING HARDWARE SIMULATION Basjaruddin, Noor Cholis; Kuspriyanto, Kuspriyanto; Saefudin, Didin; Nugraha, Ilham Khrisna
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 6: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Ride comfort on the highway often interrupted because drivers need to adjust the vehicle speed. Safe distance between vehicles should be maintained is the main reason. The situation of monotonous and high speed will increase the risk of accidents on highway. A device is required by the driver to adjust the vehicle speed during the long distance (cruise) driving on highway without neglecting the safety aspects. The device is known as Adaptive Cruise Control (ACC). The ACC is a subsystem of Advanced Driver Assistance Systems (ADASs) that serves to assist the driver during cruise driving. The working principle of the ACC is the vehicle speed set automatically so that the distance to the vehicle in front remains safe. This paper presents the development of fuzzy logic controller for ACC. The fuzzy inference method used in this study is Mamdani. The result from hardware simulation that using remote control car shows that the fuzzy logic controller can work according to the design.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6734
Fault Tolerant Air Bubble Sensor using Triple Modular Redundancy Method Basjaruddin, Noor Cholis; Priyana, Yoga; Kuspriyanto, Kuspriyanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.567 KB) | DOI: 10.12928/telkomnika.v11i1.884

Abstract

Detection of air bubbles in the blood is important for various medical treatments that use Extracorporeal Blood Circuits (ECBC), such as hemodialysis, hemofiltration and cardio-pulmonary bypass. Therefore a reliable air bubble detector is needed. This study presents the design of a new fault tolerant air bubble detector. Triple Modular Redundancy (TMR) method is used on the sensor section. A voter circuit of the Triple Modular Redundancy will choose one of three sensor outputs to be processed further. Application of Triple Modular Redundancy will prevent errors in the detection of air bubbles, especially if the sensor fails to work.
Hardware simulation of automatic braking system based on fuzzy logic control Basjaruddin, Noor Cholis; Kuspriyanto, Kuspriyanto; Suhendar, Suhendar; Saefudin, Didin; Azis, Virna Apriani
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 7, No 1 (2016)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.928 KB) | DOI: 10.14203/j.mev.2016.v7.1-6

Abstract

In certain situations, a moving or stationary object can be a barrier for a vehicle. People and vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks, road separator, power poles, and railroad gates are also a potential source of danger when the driver is inattentive in driving the vehicle. A device that can help the driver to brake automatically is known as Automatic Braking System (ABS). ABS is a part of the Advanced Driver Assistance Systems (ADAS), which is a device designed to assist the driver in driving the process. This device was developed to reduce human error that is a major cause of traffic accidents. This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the design of ABS can work according to design.
Adaptive Light Control Berbasis Kendali Fuzzy Basjaruddin, Noor Cholis; Saefudin, Didin; Fredian, Richar; 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.