Gunadarma University

Internet acceptance has been widely tested using Technology Acceptance Model (TAM) which records perceived ease of use and usefulness towards the use of internet for shopping online. It is because perceived ease of use and usefulness affect attitudes toward usability. To prove if that‘s the case or not this research was undertaken. Its purpose is to measure the influence of perceived ease of use and usefulness on attitudes toward usability to confirm the past research. Questionnaire was deployed as research instrument to collect data. Respondents to the study were the consumers who have access to the internet. Data was analyzed using Structural Equation Modeling (SEM). The result show that perceived usefulness influence the attitudes towards usability of airlines ticket reservation stronger than perceived ease of use and trust.

This study aims to find a model for strengthening digital literacy at the University of Darussalam Gontor. This research uses descriptive qualitative method. Data are collected through observation and interviews with five lecturers in the Communication Study Program at the University of Darussalam Gontor. This research found a model of strengthening digital literacy through the use of e-learning. The model includes elements of communication and collaboration in the form of active participation in learning and research activities. It consists of individual competence components in the form of use skills, critical understanding, and communicative abilities. This research contributes to a model of strengthening digital literacy through the use of e-learning.

One of the ways humans communicate is by using facial expressions. Research on technology development in artificial intelligence uses deep learning methods in human and computer interactions as an effective system application process. One example, if someone does show and tries to recognize facial expressions when communicating. The prediction of the expression or emotion of some people who see it sometimes does not understand. In psychology, the detection of emotions or facial expressions requires analysis and assessment of decisions in predicting a person's emotions or group of people in communicating. This research proposes the design of a system that can predict and recognize the classification of facial emotions based on feature extraction using the Convolution Neural Network (CNN) algorithm in real-time with the OpenCV library, namely: TensorFlow and Keras. The research design implemented in the Raspberry Pi consists of three main processes, namely: face detection, facial feature extraction, and facial emotion classification. The prediction results of facial expressions in research with the Convolutional Neural Network (CNN) method using Facial Emotion Recognition (FER-2013) were 65.97% (sixty-five point ninety-seven percent).

Image processing technology in hardware and software has a significant development in all aspects of human civilization. Image processing is growing rapidly in various fields such as medical image, Biometrics, Object identification, Object character recognition (OCR), and many more. One biometric technique in an application detects and recognizes faces. Objectives of face recognition include recognizing emotions, identifying offenders, applying to security systems, image processing to access a door as an application of computer and human interaction. The facial recognition system in this research was conducted live streaming using Local Binary Pattern Histogram (LBPH) method. There is a constraint to a light intake received by the camera through a sensor that captures the image. Based on the results of our research to make better facial recognition, we propose using adaptation methods on the intensity of light that is around the image capture object. The method of adaptation in this research is the Contrast Adaptive Limited Histogram (CLAHE).

Homeschooling students can experience academic stress. Parent-child relationship, self-esteem, and also academic self-efficacy are assumed as factors influencing the academic stress. Do parent-child relationship, self-esteem, and academic self-efficacy have effect simultaneously to homeschooling students’ self-regulated learning? The purpose of this study is to measure the influence of parent-child relationship, self-esteem, and academic self-efficacy to academic stress on homeschooling students. The direct and indirect effect can be seen from the empirical model when fit the data. Subjects are 87 homeschooling students in Tangerang. Academic stress constructed from Ang et.al. (2009) (α = 0.875), academic self-efficacy constructed from Bandura (1997) (α = 0.907), self-esteem constructed from Rosenberg (1965) (α = 0.758), parent-child relationship constructed from Brook et.al. (2012) (α = 0.875). Structural Equation Model is used to analyze the data. The empirical model has goodness of fit. It explains the influence of parent-child relationship, self-esteem, and academic self-efficacy to academic stress on homeschooling students. The result shows that parent-child relationship has no direct effect to academic stress or indirect effect through academic self-efficacy. On the other hand there is indirect effect from parent-child relationship to academic stress through self-esteem. Parent-child relationship, self-esteem, and academic self-efficacy are good predictors to homeschooling students’ academic stress. But parent-child relationship only effects students’ academic stress through self-esteem and not strong enough to effects academic stress through academic self-efficacy. At this point, parents play important role to build positive self-esteem related to the homeschooling activities.

In order to survive in the tight competiton, many cellular providers have a big effort to maintain the customer loyalty. This research attemted to analyze the influence of customer satisfaction, switching cost, and trust in a brand towards customer loyalty partially and simultaneously. The research method was descriptive analysis by the multiple regression analysis. The data was compiled by distributing questionnaire to 100 respondents of youngsters in Depok Area, a suburban near Jakarta as Indonesia capital city. Youngsters were the main target of the cellular providers market shares. The result showed that ccustomer satisfaction and switching cost had a significant influence to customer loyalty. However, the trust in brand had no significant influence to the customer loyalty. Furthermorem when tested simultaneously, the customer satisfaction, switching cost, and trust in a brand has influence to the customer loyality.

The phenomenon of declining in customer satisfaction and loyalty becomes the major concern of the service firms because the two factors determine the performance of the firms. Furthermore, factors that simultaneously influence customer satisfaction and loyalty are the customer perception on service quality, the mooring factors and the relationship quality. To analyze the relationship amongst factors that influence the customer satisfaction and loyalty, this research set some measurement on each factor/variable. The customer perception on service quality is measured by dimensions of call quality, price structure, mobile devices, value added services, convenience in procedure, and customer support. The mooring factors are measured by attitude, social influence, switching cost, prior switching behaviour, and variety seeking. The relationship quality is measured by dimensions of trust, familiarity and partnering. Customer satisfaction is measured by dimensions of price, functional, technical, and emotional. The last, the customer loyalty is measured by the dimension of cognitive loyalty, affective loyalty, conative loyalty and action loyalty. To measure all the constructs and indicators, this research distributes questioners to 370 students who subscribe cellular operator service at eight universities in Bandung. The method of data analysis of this research is Structural Equation Modeling (SEM). The research result proved that the customer perception on service quality and relationship quality have positive correlation with mooring factors. Then, the perception on service quality has positive direct influence customer satisfaction. On the other hand, mooring factors and relationship quality does not have direct influence customer satisfaction. However, mooring factors is proven to be moderating variable of service quality and relationship quality to customer satisfaction and has positive relationship. Moreover, the customer perception on service quality, relationship quality, and customer satisfaction has positive direct influence the customer loyalty.

A systems perspective explains dynamics of human flourishing based on the relations between its constituents. Using cross-sectional data from emerging adults (ages 18–29) in 10 countries (N = 7221), this study explored the interrelatedness among constituents of flourishing – happiness & satisfaction with life, mental & physical health, meaning & purpose, character & virtue, close social relationships, and financial & material stability – within and across countries. Each country’s sample was characterized by a unique flourishing network, although there were similarities. Except for financial & material stability, all constituents were positively related across samples. Financial & material stability showed the highest cross-country heterogeneity in its relations. Happiness & satisfaction with life and meaning & purpose showed the strongest interrelations. A higher level of one constituent was associated with lower network connectivity. This systems perspective extends existing knowledge about the conceptualization of flourishing and how people can be supported to achieve and maintain complete well-being.

We report X-ray observations of the Galactic X-ray transient source GRS 1915+105 with the pointed proportional counters of the Indian X-ray Astronomy Experiment (IXAE) onboard the Indian satellite IRS-P3 , which show remarkable richness in temporal variability. The observations were carried out on 1997 June 12-29 and August 7-10, in the energy range of 2-18 keV and revealed the presence of very intense X-ray bursts. All the observed bursts have a slow exponential rise, a sharp linear decay, and broadly can be put in two classes: irregular and quasi-regular bursts in one class, and regular bursts in the other. The regular bursts are found to have two distinct timescales and to persist over extended durations. There is a strong correlation between the preceding quiescent time and the burst duration for the quasi-regular and irregular bursts. No such correlation is found for the regular bursts. The ratio of average flux during the burst time to the average flux during the quiescent phase is high and variable for the quasi-regular and irregular bursts, while it is low and constant for the regular bursts. We present a comprehensive picture of the various types of bursts observed in GRS 1915+105 in the light of the recent theories of advective accretion disks. We suggest that the peculiar bursts that we have seen are characteristic of the change of state of the source. The source can switch back and forth between the low-hard state and the high-soft state near critical accretion rates in a very short timescale, giving rise to the irregular and quasi-regular bursts. The fast timescale for the transition of the state is explained by invoking the appearance and disappearance of the advective disk in its viscous timescale. The periodicity of the regular bursts is explained by matching the viscous timescale with the cooling timescale of the postshock region. A test of the model is presented using the publicly available 13-60 keV RXTE /PCA data for irregular and regular bursts concurrent with our observations. It is found that the 13-60 keV flux relative to the 2-13 keV flux shows clear evidence for state change between the quiescent phase and the burst phase. The value of this ratio during burst is consistent with the values observed during the high-soft state seen on 1997 August 19, while its value during quiescent phase is consistent with the values observed during the low-hard state seen on 1997 May 8.

Without realizing it, the development of the child's character does not appear spontaneously. There is a process that is experienced and passed, one of which is the development phase. The earliest character development period is for early childhood. How important are parents to notice the formation of the character of the early childhood they have. When talking about the formation of early childhood characters, we become reminded of the environmental and family factors that are close to the child. In this article, the author wants to discuss about the process of character building early childhood in three elements; family, school, and community. Based on the results of the study conducted, the authors found that the process of forming the character of early childhood, beginning from the family, then followed by the school, and the community followed by these early childhood. This community includes the play community, the tutoring community or the talent development course institution that the early childhood participates in. But, the main determining factor is the family as the smallest and first community for the children.

One of agricultural cultivation technology development that is worth disseminating is the aquaponic agricultural technique that will be our idea in this writing. With some light, temperature, and humidity manipulation of the plant, it will be well suited to be applied to indoor systems. Agricultural technology design with aquaponics is also using the concept of Internet of Things because the information from the sensor and control actuator values can be accessed through applications installed on the smartphone from anywhere with the Internet connection. Agricultural cultivation technology with indoor aquaponic agricultural technology provides an alternative for anyone who has no land for farming but can still conduct business activities that can be used as an adequate source of food or income. The agricultural techniques applied to aquaponics are very different from conventional farming techniques. With technology using the concept of Internet of Things has more advantages compared with conventional farming.

Peningkatan jumlah penduduk dan terbatasnya lapangan kerja yang memadai membuat masalah pengangguran di Indonesia menjadi masalah yang sulit. Berbagai upaya telah dilakukan oleh pemerintah, antara laindengan usaha mandiri masyarakat berupa bidang kewirausahaan. Terdapat berbagaifaktor yang mempengaruhi minat berwirausaha, antara lain faktor eksternal maupun faktor internal. Faktor eksternal terdiri dari lingkungan keluarga dan lingkungan sekitar, sedangkan dalam faktor internal terdiri dari kepribadian dan motivasi berwirausaha. Tujuan penelitian ini untuk menganalisis pengaruh faktor eksternal dan faktor internal terhadap minat berwirausaha mahasiswa Universitas Gunadarmadi Depok. Analisis regresi linear berganda digunakan untuk memahami sejauh mana pengaruh faktor eksternal dan faktor internal terhadap minat mahasiswadalam berwirausaha. Metode penelitian dalam penelitian ini adalah survey eksplanatory. Objek penelitian adalah mahasiswa Universitas Gunadarma di Depok. Jumlah sampel yang digunakan sebanyak 100 mahasiswa yang diambil dengan teknik sampel acak sederhana dengan menggunakan kuesioner. Dari hasil penelitian diperoleh kesimpulan bahwa variabel yang paling berpengaruh terhadap minat berwirausaha mahasiswa Universitas Gunadarma adalah motivasi berwirausaha. Pengaruh variabel berikutnya secara berurutan adalah kepribadian, lingkungan keluarga dan lingkungan sekitar. Hasil penelitian juga menunjukkan bahwa semua variabel lingkungan eksternal maupun internal mempunyai pengaruh positif dan signifikan terhadap minatberwirausaha mahasiswa Universitas Gunadarma, baik secara parsial maupun simultan.

Purpose This paper aims to analyze the Halal industry before, during and after the COVID-19 outbreak. Design/methodology/approach Qualitative content analysis derived from a narrative-type literature review – supported by expert opinions elicited from semi-structured interviews and transcripts from the keynotes of five prominent speakers at a Halal industry conference during the pandemic. The conference theme covered the Halal industry’s development and strategies before, during and after the COVID-19 outbreak. Findings There are opinions, concerns and actionable suggestions from the five prominent guests on how the Halal industry is faced with challenges but also new opportunities, with the potential to lead an agenda toward community and transparency. Originality/value The halal industry could survive the ravaging COVID-19 and still has the potential to be explored. Expectedly, it makes this occasion an assessment or benchmark to improve the Halal industry and lifestyle in the future and contributes to the betterment of the ummah and Muslim countries.

Melanoma cancer is a type of skin cancer and is the most dangerous one because it causes the most of skin cancer deaths. Melanoma comes from melanocyte cells, melanin-producing cells, so that melanomas are generally brown or black coloured. Melanomas are mostly caused by exposure to ultraviolet radiation that damages the DNA of skin cells. The diagnoses of melanoma cancer are often performed manually by using visuals of the skilled doctors, analyzing the result of dermoscopy examination and match it with medical sciences. Manual detection weakness is highly influenced by human subjectivity that makes it inconsistent in certain conditions. Therefore, a computer assisted technology is needed to help classifying the results of dermoscopy examination and to deduce the results more accurately with a relatively faster time. The making of this application starts with problem analysis, design, implementation, and testing. This application uses deep learning technology with Convolutional Neural Network method and LeNet-5 architecture for classifying image data. The experiment using 44 images data from the training results with a different number of training and epoch resulted the highest percentage of success at 93% in training and 100% in testing, which the number of training data used of 176 images and 100 epochs. This application was created using Python programming language and Keras library as Tensorflow back-end.

Fire is one of the disasters in high buildings that often leads to many material losses and casualties. In general, material and nonmaterial loss of fire incidents can be minimized by solving it quickly. To minimize the extent of the fire area, we need technology to detect the existence of fire hotspots before fires become widely. At first, the fire early detection system uses a sensor, but many sensors cannot stand fire. Therefore, another method needed that can monitor an area in the building from a distance. In this study, CCTV cameras were used to see whether there was a fire hotspot or not. As additional technology, we use artificial intelligence to analyze the results of CCTV. We propose the You Only Look Once (YOLO) method to detect fire hotspots on CCTV videos. In this study, the YOLO method can recognize fire hotspots with an average value of accuracy is 90%.

The objectives of this study are to (i) analyze the effect of level of knowledge of UAPPA E1 and UAPPB officers towards Government Accounting Standard (SAP) on financial statements quality; (ii) analyze the effect of the availability of facilities and infrastructures supporting the implementation of SAP on financial statements quality; and (iii) investigate level of improvement of financial statements quality years 2007 and 2008 compared with financial statements quality year 2006. The Office of Inspectorate General of the Department of National Education was selected as the object in this study. A set of valid and reliable questionnaires were used in this study. Multiple linier regression analysis was applied to analyze the data. The study results showed that the implementation of SAP, level of knowledge of UAPPA E1 and UAPPB, and the availability of facilities and infrastructures have significant impacts on financial statements quality.

The objective of this study is to evaluate the performance of public services through the website of local governments in Indonesia. Research variables are characteristic of web services, website popularity, and web metrics. Secondary and primary data are deployed to measure those variables. Data analysis focused on identifying the digital divide views from government levels and geographic location of Java and outside Java. Result finding show that on web metrics rank of local governments outside Java shows, website of province is more dominant than the city or county website, while for Java Island, the website of the district or the city is more dominant than the provincial web. Further it shows that the province is better than the district and city for a webpage and inbound links, while the city is better for the popularity. District is lower than the provincial and city for all web metrics. Finally it shows that there are digital divide between Java and outside Java for a webpage, inbound links and traffic.

The integration of Wireless Sensor Networks (WSNs) into agricultural areas has had a significant impact and has provided new, more complex, efficient, and structured solutions for enhancing crop production. This study reviews the role of Wireless Sensor Networks (WSNs) in monitoring the macronutrient content of plants. This review study focuses on identifying the types of sensors used to measure macronutrients, determining sensor placement within agricultural areas, implementing wireless technology for sensor communication, and selecting device transmission intervals and ratings. The study of NPK (nitrogen, phosphorus, potassium) monitoring using sensor technology in precision agriculture is of high significance in efforts to improve agricultural productivity and efficiency. Incorporating Wireless Sensor Networks (WSNs) into the ongoing progress of proposed sensor node placement design has been a significant facet of this study. Meanwhile, the assessment based on soil samples analyzed for macronutrient content, conducted directly in relation to the comparison between the NPK sensors deployed in this research and the laboratory control sensors, reveals an error rate of 8.47% and can be deemed as a relatively satisfactory outcome. In addition to fostering technological innovations and precision farming solutions, in future this research aims to increase agricultural yields, particularly by enabling the cultivation of certain crops in locations different from their original ones.

Academic procrastination is fairly and commonly found among college students. The lack of understanding in making the best use of computer technology may lead to anxiety in terms of operating computer hence cause postponement in completing course assignments related to computer operation. On the other hand, failure in achieving certain academic targets as expected by parents and/or the students themselves also makes students less focused and leads to tendency of postponing many completions of course assignments. The aim of this research is to investigate contribution of anxiety in operating computer and academic stress toward procrastination on students. As much as 65 students majoring in psychology became participants in this study. The results showed that anxiety in operating computer and academic stress play significant role in influencing academic procrastination among social sciences students. In terms of academic procrastination tendencies, anxiety in operating computer and academic stress, male students have higher percentage than female students.

Perkembangan teknologi informasi dan internet menyebabkan kemudahan dalam bertransaksi melalui situs pembelanjaan yang berbasis web, yang sering disebut sebagaitoko online. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh gaya hidup,kepercayaan, kemudahan dan kualitas informasi terhadap keputusan pembelian secaraonline. Obyek dalam penelitian ini adalah 130 mahasiswa Universitas Gunadarma,variabel bebas meliputi gaya hidup, kepercayaan, kemudahan dan kualitas informasi,sedangkan variabel terikat adalah keputusan pembelian.Teknik analisis data yangdigunakan adalah uji validitas, uji reliabilitas, uji f, uji t, Regresi linier berganda. Hasilpenelitian menunjukkan bahwa gaya hidup, kemudahan penggunaan, dan kualitasinformasi berpengaruh secara positif terhadap keputusan pembelian, sedangkankepercayaan tidak mempengaruhi keputusan pembelian. Hasil uji F menunjukkan gayahidup, kepercayaan, kemudahan penggunaan dan kualitas informasi secara bersamasama berpengaruh terhadap pembelian online pada mahasiswa Universitas Gunadarma.