scholarly journals Pemanfaatan Sms Gateway Dalam Mendukung Proses Pelayanan Pelanggan Pada Gaudi Clothing

Author(s):  
Larasathi Jiwany ◽  
Alya Nurseptiani ◽  
Rafika Maulindah ◽  
Ruth Christin Aprilia Situmorang ◽  
Vira Putri Rahmadini ◽  
...  

Many large companies today do not pay attention to customer service relationships. Companies that often consider products sold are superior products that are sought after by the public. While good service will make customers loyal to the company. Imagine the amount of loss received if you do not pay attention to customer service. One way to overcome this problem is by using technology and marketing concepts CRM (Customer Relationship Management). Application (Short Message Service) SMS Gateway as a technology used to support effective and efficient CRM concepts. At present, all customers have mobile phones, so SMS is chosen as a good facility to deliver information because it is fast and reaches directly to customers, besides because of its low cost. The purpose of this study is to study the implementation of SMS Gateways that facilitate companies in conveying information to Gaudi Clothing customers. With the SMS Gateway, companies can broadcast attractive promos and new products to customers. It is expected to reduce promotions through brochures due to printing costs and waste. In designing this system, the data collection methods used are literature studies, interviews, observations and questionnaires. Application of SMS Gateway with the help of Nexmo application. Based on the research conducted, the percentage value obtained was 70.75% which was proposed by the AGREE criteria. Gaudi Entrance Clothing. So using the SMS Gateway to support the customer service process on Gaudi Clothing, can be a good solution because it is useful to support the service process and relationships with customers of Gaudi Clothing

2019 ◽  
Vol 13 (1) ◽  
pp. 49
Author(s):  
Yunus Adhy Prasetyo

The study was conducted to examine the effect of Short Message Service (SMS) Texting on medication adherence among tuberculosis patients. 68 persons diagnosed with tuberculosis and registered in the public health center in Klari, Karawang, West Java, Indonesia, were randomly appointed to an experimental or control group; 34 persons assigned to each group. Participants in the experimental group received routine SMS Texting, while those in the control group receive none. Data were analyzed using Dependent t-test and Independent t-test. The results indicated that after participating by receiving SMS texting, there was a significant improvement in medication adherence in TB patients in the experimental group, which was shown by significant difference in mean score of medication adherence. In addition, after participating in the program, there was a meaningful difference in mean scores of medication adherence between the experimental group (X=6.38, SD=0.85) and the control group (X=3.64, SD=1.04), p<0.01. The SMS Texting method appears to be effective in improving medication adherence among TB patients.


Author(s):  
Shunichi Ishihara

This study is one of the first likelihood ratio-based forensic text comparison studies in forensic authorship analysis. The likelihood-ratio-based evaluation of scientific evidence has started being adopted in many disciplines of forensic evidence comparison sciences, such as DNA, handwriting, fingerprints, footwear, voice recording, etc., and it is largely accepted that this is the way to ensure the maximum accountability and transparency of the process. Due to its convenience and low cost, short message service (SMS) has been a very popular medium of communication for quite some time. Unfortunately, however, SMS messages are sometimes used for reprehensible purposes, e.g., communication between drug dealers and buyers, or in illicit acts such as extortion, fraud, scams, hoaxes, and false reports of terrorist threats. In this study, the author performs a likelihood-ratio-based forensic text comparison of SMS messages focusing on lexical features. The likelihood ratios (LRs) are calculated in Aitken and Lucy’s (2004) multivariate kernel density procedure, and are calibrated. The validity of the system is assessed based on the magnitude of the LRs using the log-likelihood-ratio cost (Cllr). The strength of the derived LRs is graphically presented in Tippett plots. The results of the current study are compared with those of previous studies.


2016 ◽  
Vol 12 (2) ◽  
pp. 83-95 ◽  
Author(s):  
Jialin Ma ◽  
Yongjun Zhang ◽  
Zhijian Wang ◽  
Kun Yu

At present, content-based methods are regard as the more effective in the task of Short Message Service (SMS) spam filtering. However, they usually use traditional text classification technologies, which are more suitable to deal with normal long texts; therefore, it often faces some serious challenges, such as the sparse data problem and noise data in the SMS message. In addition, the existing SMS spam filtering methods usually consider the SMS spam task as a binary-class problem, which could not provide for different categories for multi-grain SMS spam filtering. In this paper, the authors propose a message topic model (MTM) for multi-grain SMS spam filtering. The MTM derives from the famous probability topic model, and is improved in this paper to make it more suitable for SMS spam filtering. Finally, the authors compare the MTM with the SVM and the standard LDA on the public SMS spam corpus. The experimental results show that the MTM is more effective for the task of SMS spam filtering.


Author(s):  
C.Anna Palagan

This paper proposes and implements a solution for the navigation difficulty and enhancing the rail transportation in a simple way by combining Wireless Communication and GPS Technology by developing a GPS Based Real Time Personal Destination Predictor. In this method by sending SMS (Short Message Service) and Voice Call to the registered passenger’s mobile phone, we alert the passenger about his destination at the specified time before reaching the destination. If the user sends the PNR (Passenger’s Name Record) number obviously the server responds with a SMS to the mobile phone of the particular ticket received user. Once the request is responded, the GPS (Global Positioning System) which is the train will locate the live position of the train as latitude and longitude value which will be transferred by the wireless communication to the server and the server will response the location from the Google Maps and intimate the passenger before the specified time of the arrival of the destination station of the passenger, which can be known from the PNR details of the passenger, through SMS and Voice Call. Even the person waiting for the passenger in the destination can avail this facility from his mobile phone by registering with the passenger’s PNR number.


2012 ◽  
Vol 4 (3) ◽  
pp. 47-57 ◽  
Author(s):  
Shunichi Ishihara

This study is one of the first likelihood ratio-based forensic text comparison studies in forensic authorship analysis. The likelihood-ratio-based evaluation of scientific evidence has started being adopted in many disciplines of forensic evidence comparison sciences, such as DNA, handwriting, fingerprints, footwear, voice recording, etc., and it is largely accepted that this is the way to ensure the maximum accountability and transparency of the process. Due to its convenience and low cost, short message service (SMS) has been a very popular medium of communication for quite some time. Unfortunately, however, SMS messages are sometimes used for reprehensible purposes, e.g., communication between drug dealers and buyers, or in illicit acts such as extortion, fraud, scams, hoaxes, and false reports of terrorist threats. In this study, the author performs a likelihood-ratio-based forensic text comparison of SMS messages focusing on lexical features. The likelihood ratios (LRs) are calculated in Aitken and Lucy’s (2004) multivariate kernel density procedure, and are calibrated. The validity of the system is assessed based on the magnitude of the LRs using the log-likelihood-ratio cost (Cllr). The strength of the derived LRs is graphically presented in Tippett plots. The results of the current study are compared with those of previous studies.


Author(s):  
Rina Firliana ◽  
Dwi Harini ◽  
Anas Rahmat A

  Importance of credit information Small and Medium Enterprises (SMEs) for society, especially in those who need to develop the business unit in the future, which in the present situation that is difficult to build a business. To obtain credit information most people still have access to resources directly to the sources that provide such information. If the information sought is not found then look for other sources. In search of the required information was not little.Service information system with SMS (Short Message Service) on mobile phone s offer convenience and low cost can reduce the above problems. This service is suitable to be applied in seeking information about credit small and medium enterprises. Despite the above, the study made a Credit Information System Based SMS Gateway Service to provide or provide information about credit Credit Medium Enterprises. So it can be used as one of the alternative ways to obtain information about business credit easily and quickly. The result of this final project design is an SMS Gateway server that works without operator, able to provide information and seek information to the banks in accordance with the information requested by the customer and then sends the information to customers who request such information.


Author(s):  
Mohammad Shirali-Shahreza ◽  
M. Hassan Shirali-Shahreza

In this chapter, a method is proposed to contact the Police with mobile phones and via SMS (Short Message Service). In this method, when a person wants to contact the Police, he must only press a special key on his mobile phone for a short time to launch a special program. This program sends current location of the person using GPS system and sends it periodically with other useful information such as name, home and work address of that person automatically to the Police Station using SMS. In this method, there is no need to talk and a person can contact the Police easily and tell them the place which crime has occurred. In addition, there is no busy line problem. This method has low cost and can be run on many mobile phones This method is implemented using JavaME (Java Platform Micro Edition) programming language and tested on a Nokia N71 mobile phone by using an ‘Evermore BT-R700’ GPS receiver.


Author(s):  
Harold D. Abasolo, MBA ◽  

This research determined the operational strategies of online food delivery businesses in Camarines Norte, Philippines. It assessed the profile of the online food delivery businesses in terms of number of riders, initial capitalization, form of business organization, commonly used digital platform and average weekly deliveries; the operational strategies being implemented and the problems encountered on the aspects of resources and processes. Findings revealed that majority of online food delivery businesses have 11 to 15 riders, under sole proprietorship, uses social media platform, with 201 and above weekly deliveries. The operational strategies of online food delivery businesses include: monitoring of riders’ performances, use of cellular phones, desktop, tablet and laptop for monitoring customer needs; optimizing marketing budget through utilization of low-cost marketing campaigns and promotions; promotion using various social media platforms; and updating customers with their transactions from time-to-time via chat or Short Message Service (SMS). The problems encountered by online food delivery businesses are shortage of available riders during peak hours and threat of new entrants. The study recommended for food delivery business owners to revisit the human resource plans and create operations manual to provide clear guidelines and processes in implementing their operational strategies which are significant to their daily operations.


Author(s):  
Wan Haszerila Wan Hassan ◽  
Aiman Zakwan Jidin ◽  
Siti Asma Che Aziz ◽  
Norain Rahim

The early warning systems for flood management have been developed rapidly with the growth of technologies. These system help to alert people early with the used of Short Message Service (SMS) via Global System for Mobile Communications (GSM). This paper presents a simple, portable and low cost of early warning system using Arduino board, which is used to control the whole system and GSM shields to send the data. System has been designed and implemented based on two components which is hardware and software. The model determines the water level using float switch sensors, then it analyzes the collected data and determine the type of danger present. The detected level is translated into an alert message and sent to the user. The GSM network is used to connect the overall system units via SMS.


Author(s):  
Sarab M. Hameed

With the growth of mobile phones, short message service (SMS) became an essential text communication service. However, the low cost and ease use of SMS led to an increase in SMS Spam. In this paper, the characteristics of SMS spam has studied and a set of features has introduced to get rid of SMS spam. In addition, the problem of SMS spam detection was addressed as a clustering analysis that requires a metaheuristic algorithm to find the clustering structures. Three differential evolution variants viz DE/rand/1, jDE/rand/1, jDE/best/1, are adopted for solving the SMS spam problem. Experimental results illustrate that the jDE/best/1 produces best results over other variants in terms of accuracy, false-positive rate and false-negative rate. Moreover, it surpasses the baseline methods.


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