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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Industrial and Systems Engineering Assessment Journal (INASEA) CommIT (Communication & Information Technology) CESS (Journal of Computer Engineering, System and Science) Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL PENDIDIKAN TAMBUSAI ComTech: Computer, Mathematics and Engineering Applications JARES (Journal of Academic Research and Sciences) INFOKUM Journal of Green Engineering for Sustainability
Fergyanto E. Gunawan
Bina Nusantara University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences

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ANALISIS FREKUENSI KEDATANGAN BUS TRANSJAKARTA DI WAKTU SIBUK DAN TIDAK SIBUK Taniasi, Wizi Dewi; Wijaya, Hartono; Rackman, Susanto; Gunawan, Fergyanto E.
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 13, No 2 (2012): INASEA Vol. 13 No. 2
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The high road traffic in Jakarta often leads to a massive traffic jam. The problem arises because the volume of vehicles increasing at a higher rate than the road development. To overcome the traffic jam problem, the government introduced bus rapid transit, known as TransJakarta, in 2004. They expects the users of the private vehicle will switch to using TransJakarta, which can further lessen the traffic congestion. However, until now, TransJakarta is still having a low ridership, and is not able to meet the expectation. Passengers often critize the system because of long inter-arrival time between buses, which forced passengers to wait for a long time. TransJakarta operator has to address this issue as quickly as possible before inhabitantsof Jakarta losing their trust on the system. In this study, we analyzed the arrival frequency of TransJakarta buses at the peak-period time and off-peak period time, and also analyzed the factors that affect the frequency.
An Analysis of Bitcoin Acceptance in Indonesia Gunawan, Fergyanto E.; Novendra, Rizki
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 4 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i4.3885

Abstract

This research intended to understand the factors affecting the acceptance of Bitcoin technology in Indonesia. It adopted the model of Unified Theory of Acceptance and Use of Technology (UTAUT), which took into account four influencing factors. Those were performance expectancy, effort expectancy, social influence, and facilitating conditions. The factors of gender and age were assumed to moderate the relations between those four factors and use and behavioral intention. The empirical data for those factors were collected by questionnaires from 49 respondents. The statistical significance of the relationships was evaluated by multivariate regression analysis. The result is a model that matches the data with R2 = 0,678. It demonstrates a high level of fitness. The analysis suggests that the performance expectancy factor and the social influence factor greatly affect the behavioral intention to use Bitcoin with the values of t-statistic of 3,835 (p-value = 0,000) for the former factor and 1,948 (0,059) for the latter factor. However, the social influence factor has less profound effect on the behavioral intention.
Factors That Influence Employees’ Intention to Use Enterprise Social Media as Knowledge Sharing Media Gunawan, Jeanifer; Gunawan, Fergyanto E.
CommIT (Communication and Information Technology) Journal Vol 13, No 2 (2019): CommIT Vol. 13 No. 2 Tahun 2019
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i2.5627

Abstract

Along with the widespread use of Enterprise Social Media (ESM) by various large companies in Indonesia, this research is conducted to discover what the factors that drive employees’ intention to use ESM as knowledge sharing media are, and what factor is the most dominant in driving employees’ intention. This research is a quantitative research which uses Innovation Diffusion Technology (IDT) and Extended Technology Acceptance Model (TAM) as the research model. Data collection in this research is conducted by the survey method. The questionnaires are distributed to 374 respondents. Based on the data collected, data processing and hypothesis testing are carried out using Partial Least Square Structural Equation Modelling (PLS-SEM). The result of this study indicates that relative advantage, compatibility, and perceived ease of use have a significant influence on perceived usefulness and perceived enjoyment. Meanwhile, perceived usefulness and perceived enjoyment have a significant influence on employees’ intention to use ESM. Furthermore, it is also found that the most dominant factor among those two variables is perceived enjoyment.
Face Recognition on Linear Motion-blurred Image Fergyanto E. Gunawan; Jeklin Harefa; Nobumasa Sekishita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.5480

Abstract

Most face recognition algorithms are generally capable to achieve a high level of accuracy when the image is acquired under wellcontrolled conditions. The face should be still during the acquisition process; otherwise, the resulted image would be blur and hard for recognition. Enforcing persons to stand still during the process is impractical; extremely likely that recognition should be performed on a blurred image. It is important to understand the relation between the image blur and the recognition accuracy. The ORL Database was used in the study. All images were in PGM format of 92 × 112 pixels from forty different persons, ten images per person. Those images were randomly divided into training and testing datasets with 50-50 ratio. Singular value decomposition was used to extract the features. The images in the testing datasets were artificially blurred to represent a linear motion, and recognition was performed. The blurred images were also filtered using various methods. The accuracy levels of the recognition on the basis of the blurred faces and filtered faces were compared. The performed numerical study suggests that at its best, the image improvement processes are capable to improve the recognition accuracy level by less than five percent.
Vibration-Based Damaged Road Classification Using Artificial Neural Network Yudy Purnama; Fergyanto E. Gunawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.7574

Abstract

It is necessary to develop an automated method to detect damaged road because manually monitoring the road condition is not practical. Many previous studies had demonstrated that the vibration-based technique has potential to detect damages on roads. This research explores the potential use of Artificial Neural Network (ANN) for detecting road anomalies based on vehicle accelerometer data. The vehicle is equipped with a smart-phone that has a 3D accelerometer and geo-location sensors. Then, the vehicle is used to scan road network having several road anomalies, such as, potholes, speedbump, and expansion joints. An ANN model consisting of three layers is developed to classify the road anomalies. The first layer is the input layer containing six neurons. The numbers of neurons in the hidden layer is varied between one and ten neurons, and its optimal number is sought numerically. The prediction accuracy of 84.9% is obtained by using three neurons in conjunction with the maximum acceleration data in x, y, and z-axis. The accuracy increases slightly to 86.5%, 85.2%, and 85.9% when the dominant frequencies in x, y, and z-axis, respectively, are taken into account beside the previous data.
Predicting the Level of Emotion by Means of Indonesian Speech Signal Fergyanto E. Gunawan; Kanyadian Idananta
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.3965

Abstract

Understanding human emotion is of importance for developing better and facilitating smooth interpersonal relations. It becomes much more important because human thinking process and behavior are strongly influenced by the emotion. Align with these needs, an expert system that capable of predicting the emotion state would be useful for many practical applications. Based on a speech signal, the system has been widely developed for various languages. This study intends to evaluate to which extent Mel-Frequency Cepstral Coefficients (MFCC) features, besides Teager energy feature, derived from Indonesian speech signal relates to four emotional types: happy, sad, angry, and fear. The study utilizes empirical data of nearly 300 speech signals collected from four amateur actors and actresses speaking 15 prescribed Indonesian sentences. Using support vector machine classifier, the empirical findings suggest that the Teager energy, as well as the first coefficient of MFCCs, are a crucial feature and the prediction can achieve the accuracy level of 86%. The accuracy increases quickly with a few initial MFCC features. The fourth and more features have negligible effects on the accuracy.
A Simple Classifier for Detecting Online Child Grooming Conversation Fergyanto E. Gunawan; Livia Ashianti; Nobumasa Sekishita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.6745

Abstract

The massive proliferation of social media has opened possibilities for the perpetrator conducting the crime of online child grooming. Because the pervasiveness of the problem scale, it may only be tamed effectively and efficiently by using an automatic grooming conversation detection system. The current study intends to address the issue by using Support Vector Machine and k-nearest neighbors’ classifiers. Besides, the study also proposes a low-computational cost classification method, which classifies a conversation using the number of the existing grooming conversation characteristics. All proposed methods are evaluated using 150 textual conversations of which 105 are grooming, and 45 are non-grooming. We identify that grooming conversations possess 17 features of grooming characteristics. The results suggest that the SVM and k-NN can identify grooming conversations at 98.6% and 97.8% of the level of accuracy. Meanwhile, the proposed simple method has 96.8% accuracy. The empirical study also suggests that two among the seventeen characteristics are insignificant for the classification.
Factors That Influence Employees’ Intention to Use Enterprise Social Media as Knowledge Sharing Media Jeanifer Gunawan; Fergyanto E. Gunawan
CommIT (Communication and Information Technology) Journal Vol. 13 No. 2 (2019): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i2.5627

Abstract

Along with the widespread use of Enterprise Social Media (ESM) by various large companies in Indonesia, this research is conducted to discover what the factors that drive employees’ intention to use ESM as knowledge sharing media are, and what factor is the most dominant in driving employees’ intention. This research is a quantitative research which uses Innovation Diffusion Technology (IDT) and Extended Technology Acceptance Model (TAM) as the research model. Data collection in this research is conducted by the survey method. The questionnaires are distributed to 374 respondents. Based on the data collected, data processing and hypothesis testing are carried out using Partial Least Square Structural Equation Modelling (PLS-SEM). The result of this study indicates that relative advantage, compatibility, and perceived ease of use have a significant influence on perceived usefulness and perceived enjoyment. Meanwhile, perceived usefulness and perceived enjoyment have a significant influence on employees’ intention to use ESM. Furthermore, it is also found that the most dominant factor among those two variables is perceived enjoyment.
The Measurement of Information and Communication Technology Literacy: A Case Study of the Village Officials in Purbalingga Retno Waluyo; Fergyanto E. Gunawan; Ito Setiawan
CommIT (Communication and Information Technology) Journal Vol. 16 No. 1 (2022): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v16i1.7118

Abstract

The application of e-government for agencies from the basic level, sub-district, aims to create single-united data to be accessed from sub-district to district and even national. Then, human resources capability in Information and Communication Technology (ICT) literacy is also essential to maximize the application of e-government. However, the implementation of egovernment in Purbalingga has not been carried out optimally due to the lack of use of computers and the Internet by village officials. The research aims to measure the level of ICT literacy of village officials and the correlation between computer literacy and Internet literacy. The research is a quantitative study using a survey method with the People Capability Maturity Model (P-CMM) concept. Around 108 village officials in Purbalingga are involved in the research. The results show that ICT literacy is still at level 2. It implies that the village officials use computers and the Internet many times with the same usage pattern to assist their jobs. In addition, the correlation between computer literacy and Internet literacy is positive and strong. It means that if computer literacy increases, Internet literacy will also increase. Therefore, it is concluded that village officials in Purbalingga are accustomed to doing daily activities using computers and the Internet with the same usage pattern.
Smartphone for Next Generation Attendance System and Human Resources Payroll System Benfano Soewito; Fergyanto E. Gunawan; Manik Hapsara
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.9 KB) | DOI: 10.11591/eecsi.v4.1036

Abstract

A wide variety  of current attendance system can be found easily in the market, but there are still some deficiencies in the attendance system;  how the company  will control  employees are  outside  the office building  and  how employees can take  ad- vantage of the attendance system to view a variety of information needed.  The  modern  attendance system must  integrated with a human  resources management and payroll  system. Others  issues with  current  attendance system,  beside  could  not  control  the staff  who  work  outside  the  office are  conventional  attendance system that  spends  a lot of paper  and  a long process  due to be entered  manually  into  the  system  for  processing  payroll,  while the  electronic  attendance system  with  limited  device can  cause queues  at  the  time  employee entry  and  exit the  office building. In  this  work,  we introduce online  attendance system on mobile devices and  is integrated with the payroll  system. It is a system created  to overcome some of the limitations  that occur in manual or electronic attendance system which is often conventionally used today. We utilized Global Positioning System (GPS), microphone, and fingerprint scanner  that available on a smartphone or others mobile  devices. We developed  our application base  on  android platform   because  the  android is the  most  platforms   that  have been using in the most mobile devices. Using our proposed methodology, the employee can do attendance using their  mobile devices and the do not need to be in queue and the employee who work outside the office also can do the attendance. Our  research showed that our proposed methodology can used for the next generation  absence  system.
Co-Authors Anak Agung Ngurah Perwira Redi Ardiyanto, Ardi Ariska Dithya Pratiwi Aryanti, Jenny Benfano Soewito Candra, Sevenpri Candra, Sevenpri Deasy Lastya Sari Fitra, Zhakia Irsalina Fredlina Margaret Gunawan, Jeanifer Hapsara, Manik Hartono Wijaya Helen Storyna Hidayat, Lutfi Ito Setiawan Jeanifer Gunawan Jeklin Harefa Kanyadian Idananta Kusnandar, Erwin Livia Ashianti Manik Hapsara Marina Wahyuni Paedah Molina, Prima Muhammad Asrol Nensi, Sri Wahyu Nobumasa Sekishita Novendra, Rizki Oktarina, Rienna Pangestu, Audy Raka Retno Waluyo Ribka Intan Putri Sinaga Sofwan Ali Fakhrudin Susanto Rackman Teresa, Teresa Wanandi, Krisantus Wizi Dewi Taniasi Yansyah, Sendra Pebri Yudy Purnama