Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem Informasi Customer Relationship Management (CRM) untuk Meningkatkan Loyalitas dan Pelayanan Customers Berbasis Web dengan Model Waterfall

Customer Relationship Management (CRM) is defined as a single unit of sales, marketing and service strategies that prevent uncoordinated work activities between parts well and that depends on coordinated company actions. In this study, the system development model used using the waterfall model is a classic model that is systematic, sequential in building software (Mira, 2013). The advantage of this model is that the development process is very structured and systematic, through the definition of needs, so that gaps or gaps that occur between the needs and the system produced can be reduced and produce clear development direction for management. Until now, data services are still not integrated, resulting in unsatisfactory service to consumers, the absence of a customer complaint system so that companies can find out complaints in the form of criticism and suggestions to improve service to customers. In this study will build CRM on PT. Srikandi Diamond Motor by using the Waterfall model so that the system is integrated and can improve service to customers and make customer complaints so that companies can find out complaints in the form of criticism and suggestions to improve service to customers. Based on the results of the implementation and testing of this system it can be concluded that the application of data processing systems has been integrated with each other so that it can improve the quality of service to customers, in the implementation of the customer complaint system has been very helpful for companies in knowing complaints in the form of criticism and suggestions to improve service to customers.
Speaker Discrimination Using Long-Term Spectrum of Speech

In this article, we investigate a specific long-term speech spectrum with respect to its use for speaker recognition. The long-term effect was satisfied by averaging short-term autocorrelation coefficients over the whole utterance. The long-term spectrum was calculated by means of second-order linear prediction using the average autocorrelation coefficients. First, speaker discriminability of 32 individual parameters was evaluated by combining spectral energy and spectral slope in eight different frequency bands covering the range 0−4 kHz (seven narrow nonoverlapping subbands and one band spanning over the full range). Then, four subbands with the most discriminative capability were selected for speaker recognition. These subbands involve the frequencies of 0−1.2 kHz in total. In the main experiments, text-independent speaker recognition based on relative Euclidean distance was performed in each single subband as well as in multiple 2 to 4 subbands applying two types of speech data, complete continuous speech and voiced part of the same speech. The voiced speech seems to be generally more effective for speaker recognition using the long-term speech spectrum. The best recognition rates, i.e. 91.7% on complete speech and 100% on voiced speech, were achieved in optimal paired subbands. The long-term speech spectrum can complement the traditional voice features.
The Implementation Of Mind Mapping Technique to Improve Students Understanding in English Morphology

This study aims to know how far the application of Mind Mapping technique is capable to improve students understanding on theoretical course such as English Morphology.The method of the research is experiment with queasy experiment applying nonequivalent control group design . Population of this research are odd semester students (3rd semester) who take lecture on English Morphology course. There are two classes’ namely experimental class which is treated with mind mapping technique and control class which is taught conventionally. After applying mind mapping technique in experimental class, the result is significantly different. The experiment class achievement from the test is better than the result of the test in the control class. Moreover based on the observation, the students from the class treated with mind mapping technique proved to be more motivated and enthusiastic in understanding the material. Student’s center is also implemented in experimented class.
Synthesis of Hurwitz Polynomial Families Using Root Locus Portraits

The paper deals with the problem of synthesis of a stable characteristic polynomial families describing the control systems' dynamics in conditions of the interval uncertainty.Investigation is based on the system mathematical model in the form of its root locus portrait generated by the polynomial free term variation that is named in the paper as the "free root locus portrait".The root loci of the Kharitonov's polynomials family (subfamily) is picked out of the whole polynomial family and is considered for carrying out the investigation.Specific regularities of the interval root locus portrait have been discovered.On the basis of these regularities main properties of the system root locus portrait have been defined.A stability condition has been formulated that allows to calculate the polynomial free term variation interval ensuring the polynomial family hurwitz stability.This stability condition is applicable to the class of polynomials having their free root locus poles lying within the left half-plane of roots or, in other words, being stable when their free term is equal to zero.The stable family is being synthesized by setting up (adjusting) the given initial family that is supposed to be unstable, i.e. the proposed method of synthesis allows to turn stable (hurwitz) the given nonhurwitz interval polynomial family.The setting up criterion is specified in terms of proximity i.e. as the nearest distance from the "unstable" system roots to the "stable" ones as measured along the root trajectories.The stable polynomial could be selected as the nearest to the given unstable one with or without consideration of the system quality requirements.In the course of the setting up procedure new boundaries of only the polynomial free term variation interval (stability interval) are calculated that allows to ensure system stability without modification of its root locus portrait configuration.A numerical example of the polynomial setting up procedure has been given.
GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing

With the increasing need for analyzing graph data, graph systems have to efficiently deal with concurrent graph processing (CGP) jobs. However, existing platforms are inherently designed for a single job, they incur the high cost when CGP jobs are executed. In this work, we observed that existing systems do not allow CGP jobs to share graph structure data of each iteration, introducing redundant accesses to same graph. Moreover, all the graphs are real-world graphs with highly skewed power-law degree distributions. The gain from extending multiple external storage devices is diminishing rapidly, which needs reasonable schedulings to balance I/O pressure into each storage. Following this direction, we propose GraphScSh that handles CGP jobs efficiently on a single machine, which focuses on reducing I/O conflict and sharing graph structure data among CGP jobs. We apply a CGP balanced partition method to break graphs into multiple partitions that are stored in multiple external storage devices. Additionally, we present a CGP I/O scheduling method, so that I/O conflict can be reduced and graph data can be shared among multiple jobs. We have implemented GraphScSh in C++ and the experiment shows that GraphScSh outperforms existing out-of-core systems by up to 82%.
SHISTI - An Automated First Aid Application

The technological advances in the recent past have been enormous and has led to a huge rise in the number of mobile users.Nowadays smart phones have reached each and every hand.As a result, people are making use of the beneficial mobile applications to make their everyday life easier. This paper focuses on development of a mobile application(app) by providing an effective help for First Aid. Nowadays, people use mobile phones and internet for all kinds of thing like-from getting basic needs delivered home, online shopping, online tutorials etc... But the sad part of today's world is that in spite of having all the knowledge at our disposal, we often struggle to help people in case of emergencies. Using these technological advances in Mobile application and Data Science, we are proposing an idea for getting the First Aid help on hand by using Mobile application and to assist the user with personalized instructions (chatbot) to be followed in case of emergencies to save lives. The proposed system also concentrates on automated ambulance calling, collecting GPS location of user, sending image of injured person with the details of the person location and chat transcripts to doctors and volunteers for immediate help.
Analisis Survival Model Regresi Parametrik Lama Studi Mahasiswa

Timely graduation of students can be used as an indicator to show the quality of a university. Students are said to graduate on time if they have a short study period of 4 years. The duration of the study of students varies because it is influenced by several factors. The purpose of this study is to determine the factors that have a significant effect on the duration of student studies. The factors studied included gender, GPA, school origin, joining the organization and working in college. The method used in this study is survival analysis. Survival analysis in this study used Log-normal and Weibull, parametric regression models. From the two models, it was found that the GPA and organizational factors significantly influence the duration of student studies. Next, to determine the best model is determined based on the minimum AIC value. Based on the comparison of the two models, the parametric Weibull model has a minimum AIC value, so this model is the best model. Based on HR values ??obtained by students who have a higher GPA and are more active in graduating faster or can be said to have fewer studies.&#x0D; Keywords: survival, regression, parametric, time of study.
COHESIVE MARKERS IN SOCIAL MEDIA DISCOURSE: CASE IN INDONESIAN FACEBOOK CONVERSATIONS

AbstractThe emergence of social media as a new channel of communication has produced a new form discourse which has different characteristics compared to the formerly established conventional discourses. These differences do not only lie in how the messages are delivered but also in their structural components which contribute to the unity of the text, namely cohesion and coherence. Cohesion, as the marker of coherence, is realized by language units (words, phrases, or clauses) known as cohesive markers which indicate the relationship between parts of discourse either grammatically or lexically. This article aims at describing the composition and distribution of cohesive markers within the Facebook conversations along with their roles in determining the characteristics of the discourse. The results show that the cohesive system of Facebook conversations are dominated by references, ellipses, repetitions, and conjunctions. The frequent appearances of certain referential cohesivemarkers indicate Facebook conversations as typical of interactive discourse whereas numerous ellipses and particular conjunctionsreflectthe informal mode of communication carried out through the social media.On the other hand, various repetitions show the existence of topical cohesionwithin the conversations.
An instrument for the birds - [Past Forward_by Allison Marsh]

In the 1920s in Weimar Germany, Friedrich Trautwein was a young electrical engineer and musician who wanted to make a splash in the burgeoning field of electronic music. And so he invented the Trautonium. The instrument's playing interface consisted of a single wire stretched over a metal plate. When the musician pressed the wire against the plate, it closed the circuit and produced a tone. Moving your finger along the wire from left to right changed the resistance and therefore the pitch. It sounded like a violin. Sort of. Trautwein's attempt to find a mass market for his instrument went nowhere. But decades later, electronic music pioneer Oskar Sala would use the Trautonium to terrifying effect, producing the screeches and caws for Alfred Hitchcock's 1963 horror-thriller The Birds.
Model Prototype Aplikasi Monitoring Tugas Akhir (MonTA) Mahasiswa pada STTI NIIT

Services for students' final tasks are very important to increase the number of graduates to be achieved by Universities. The problem faced is knowing the progress of the students' final task. The objective of this research was to build an application for monitoring the students' final task using a prototype model at STTI NIIT. The Prototype model in this research used to identify what services should be given to users. The collection of user needs is done by using the business model analysis technique to see the business processes that are occurring. Then build the prototype application model based on the requirements analysis. Function testing in this application is done by black-box testing, all of which functions can run well. Prototype this application can monitor the progress of students' final task. This application also can present consulting services for students' final task.
The Security Mechanisms Put in Place against Insider Information Systems Security Threat in Public Universities in Kenya

IntroductionInstitutions have always put forward the top-notch tools, procedures and policies in the process of protecting its information systems from attackers and infiltration from outside.Despite the amount of investment channeled towards development of infrastructure and manpower in guarding against the external aggressors, the universities still experience significant attacks causing greater loses.Though there are technical and physical controls deployed by institutions to manage access to certain restricted resources, these measures are reactionary, only taking effect when insurmountable damage has already been done.Thus, it can be argued that they come second after the human element.A network access security policy can only be followed by an employee who follows rules (Maasberg, Warren & Beebe, 2015).This is true for other technical controls such as log monitoring, firewalls, and honeypots among others.A dissident employee will find a way to circumnavigate the security policy no matter how strict it might be.When dissidence occurs with respect to laid down rules and policies, the psychological settings of employee changes, subsequently jeopardizing productivity.According to Perlow, (2003), employee resentment leads to decreased productivity and creativity which ultimately leads to loss of money, time and resources.Many organizations relay the information that dissent is discouraged whether verbally or non-verbally.However, a number of studies have corroborated Perlow and noted that receptiveness to dissent facilitates design of corrective measures to monitor unethical employee behaviours, impractical and inefficient organizational policies and poor and unfavourable decision making processes.Leading among all is the chance dissent accords organizations to respond to insensitiveness to employees' occupational needs and requirements.Eilerman in Perlow, (2003) argues that the hidden overheads of silencing dissent include decreased job satisfaction and motivation reduced decision quality and lost time (Claycomb et al., 2014).According to Perlow, (2003), employee resentment leads to decreased productivity and creativity which ultimately leads to loss of money, time and resources.Many organizations relay the information that dissent is discouraged whether verbally or non-verbally.However, a number of studies have corroborated Perlow and noted that receptiveness to dissent facilitates design of corrective measures to monitor unethical employee behaviours, impractical and inefficient organizational policies and poor and unfavourable decision making processes.Leading among all is the chance dissent
IOT based Human Physical Fitness Test for Public Services using Machine Learning and Cloud Computing

Internet of Things (IoT) is a technology that makes use of control systems such as computer to control the physical devices, industries, vehicles, buildings over the internet.The readings from Iot devices can be combined with machine learning to get a intelligent paradigm which can accomplish almost anything without human interaction.We are using different sensors to collect the data from candidate of a physical fitness test then data is analyzed and the fit and unfit candidate id decided by the machine.The data is then stored on the cloud database for further use.The status of the physical fitness examination is sent to the respective candidates.The system is human independent and intelligent enough to find out the right candidate for the public services.To achieve this the SVM of machine Learning algorithm will be used for classification.Cloud is used to store the status of candidate fitness test which will use for future use.
Endangered languages, social subjects and mediatization:

This paper discusses possible roles of midia/midiatization in the face of processes of linguistic changes and/in endagered languages in contemporary society. It is grounded on a social and historical approach to language and it finds support in Bakhtinian propositions about discourse, subjects and chronotopes. It assumes a sociolinguistic perspective to the interface between linguistic landscape, digital media and discursive agency. The study adopts the digital ethnography as a methodological procedure that grants the investigation of human actions and interactions in digital contexts. In order to explore the target theme, it presents a brief analysis of the case of Wikitongues – a non-profit organization that offers several digital platforms/media for individuals to share, divulge and comment on endangered language and cultural diversity. The analysis suggests that, by resorting to free online digital spaces and their affordances, spontaneous and activist video communities were created, showing that mediatization processes supported by the internet might help promote language diversity, discursive agency and cultural awareness.
LAJU HIDROLISIS HEROIN DALAM AIR DAN PLASMA

Heroine is hydrolyzed spontaneously in water and plasma. This will influence the determination, especially on the drug profiling. Spectrophotodensitometry has been used to analyze drug profiling of illicit heroine. This article reports the AL-TLC separation of heroine, 6-monoacetylmorphine (6-MAM), morphine, acetyl codeine, and the heroine hydrolysis in water and plasma. Heroin, 6-MAM, morphine, and acetyl codeine can be well-separated by mobile phase of toluene:siclohexane:diethyl amine (75:15:10, v/v). The limit of detection was 165.16 ng/spot and the limit of quantification was 550.55 ng/spot. Heroine was hydrolyzed in water and plasma under first order reaction. The rate of reaction was 0.55 min-1 in water with the half time reaction of 12.47 minutes. On the other hand the hydrolysis rate in plasma was slower with the half time of 16 minutes.&#x0D; &#x0D; Keywords : hydrolysis, heroin, water, TLC-spectrophotodensitometer
A Literate Civilization

In the electronic age today, the internet continues to experience innovation and development. The internet is bringing people increasingly into a beautiful world without limits called the digital era. This is the special service that digital technology presents to humans in this era. The most popular icon of digital technology is social media. Social media rose to the top of the digital technology products that are the most popular among the world's people today. Popping up various kinds of social media: Facebook, Twitter, Google+, Instagram, Path, Pinterest, Tumblr, Flickr, WhatsApp and more. The number of social media users abounds. The graph rose sharply in a short time to reach billions. According to experts, the world of social media is like a double-edged knife. On the one hand, it can provide a huge benefit for people who can use it well. But on the other hand, it can also cause harm, a bad impact for people who are not able to use it properly, well, and appropriately. This paper will explore the benefits of literacy, which is actively writing through social media platforms in various forms.
Application of Association Rule Mining in Talent Introduction Analysis

With the advancement of higher education, many colleges have given increasing attention to talent introduction.On the other hand, the association rule mining technique is a useful method which extracts the useful association rules from the complex data repositories.This study takes the example of 245 academic staff from Zhejiang University of Finance and Economics, China and uses Apriori algorithm to explore the association rules on whether an academic staff can obtain the Natural Science Foundation of China (NSFC) within three years after s/he is recruited to the university.The aim of this study is to better introduce talents for colleges so that the academic levels of colleges can be improved.The results of association rule mining have shown that having published high quality papers such as SCI paper and SSCI paper has an important effect on the probability of academic staff to obtain NSFC within three years.Besides, the grade of PhD school has also an effect on the probability of academic staff to obtain NSFC within three years.The higher the grade of a staff's PhD school is, the easier for him to obtain NSFC within three years.
Factors Analysis of the Adoption of Cloud Computing in England

The trend in information technology has been changed by cloud computing (CC) services to facilitate the day to day business activities. CC services benefits for business and information technology (IT) includes a secure platform, reducing cost and increasing productivity. There are some challenges for some organisations that adopting CC services without ensuring that the information in the cloud is secure. The primary objective of this research is to investigate the IT and IT professional perception regarding the adoption of CC services as a new generation trend in computing technology. However, the extent of CC adoption services, to identify some of the factors motivating and some challenges affecting the adoption of CC services in England. Still some organisations are struggling, how to create a secure and cost effective CC services environment.The expected finding from this research believe to provide the certain analysis and confirm the significant factors from which perceptions are derived through classification, that can address the business and technology related issues by CC services. Especially, in this study, the CC users analyse the secure platform technologies, compatibility, cost evaluation and some other types of control they assume are beneficial for the deployment of on-premise or in the cloud environment. The interview data are presented, where CC services users reviews are collected to rate the different types of important information’s related to CC services adoption. Then results are used to determine the compatibility, security and cost effectiveness are critical parameter to make this technology as a turning point for the organisation for their day to day business activities.