Network In Indonesia Research Articles

Pemodelan Pengetahuan Graph Database Untuk Jejaring Penelitian Kesehatan di Indonesia

Health research is research approved in the medical field. Health research in Indonesia is increasingly being approved by researchers in Indonesia, therefore research is stored in repositories. Many health research journal repositories are available, but there is minimal research for analysis and modeling in the health research network in Indonesia. This research proposes a knowledge modeling with Neo4j graphic database to implement it. In this study, data obtained from the SINTA Journal with web scraping techniques. The purpose of this research is to produce network knowledge using CQL (Chyper Query Language) which is useful in the medical field. The results of this study are expected to be useful for the government, academics, researchers, or the public for health research network researchers in Indonesia. The results of research testing modeling of health research network knowledge using a graph database of 95.2% said very good

Technical Specification for Effective Next Generation Network Interconnection in Indonesia

This paper proposes technical specifications for effectively implementing the interconnection of Next Generation Network (NGN) in Indonesia. NGN is one of the current telecommunication infrastructure network technology trends. It provides a simpler concept with only two layers of service and transport. The NGN IP-based transport system can connect with various types of networks, which leads to low management costs by offering different kinds of services. Meanwhile, there are currently various types of telecommunication networks depending on the services provided, such as Public Switched Telephone Network (PSTN), IPv4 Internet as well as Public Switched Data Network (PSDN). PSTN is a circuit-switched voice communications network, and PSDN is a network for data-based communications with International Telecommunication Union (ITU)-T X.121 standards. Another type is a packet-switched based network that uses IPv4 addressing systems. Each network has its customers. One of the problems that arise, however, is how to transform the current network system to the NGN network effectively. The effectiveness of network transformation in the service provision for users is determined by the technical aspects used. Some of the technical aspects issues on implementation of NGN networks in Indonesia are the use of a protocol for signaling, coding standards, Quality of Service (QoS), numbering and addressing, and security. This paper proposes technical specifications for the effectiveness of NGN network implementation in Indonesia. Through the technical specification model, we propose, the risks that will arise in the implementation of NGN networks in Indonesia can be managed. Appropriate technical specifications have an essential role in the effectiveness of NGN network implementation in Indonesia.

5G and Wi-Fi 6 Milestones

Papers in the March 2020 issue of the Journal include discussion on the future of the $51 billion National Broadband Network (NBN), IoT device and system management and the mobile cellular networks in Indonesia. The Telecommunications Association is hosting public forums on the future of the NBN in 2020 at RMIT University in Melbourne. The Australian mobile network operators continue to rollout 5G and Telstra has announced a 5G milestone. In the U.S., the FCC has announced the allocation of 1,200 MHz in the 6 GHz band for unlicensed use including Wi-Fi 6. The Journal welcomes contributions on telecommunications and the digital economy.

Assessing the performance of Vienna Mapping Functions 3 for GNSS stations in Indonesia using Precise Point Positioning

Abstract. Tropospheric delay is one of the major error sources for space geodetic techniques, such as the Global Navigation Satellite Systems (GNSS). Mapping functions are used to scale the delay from zenith direction to the elevation angle of the signal. Several mapping functions have already been published, including the Global Mapping Functions (GMF) and Vienna Mapping Functions 1 (VMF1). Recently, a refined version of VMF1, VMF3, was released. The tropospheric gradients GRAD were also determined using the same data set as VMF3. This study aims to test the performance of VMF3 on GNSS observations in Indonesia, using observations from 21 stations of the permanent GNSS network in Indonesia, InaCORS. Data processing was carried out using Precise Point Positioning in Bernese GNSS Software, version 5.2 for the year 2014. Station coordinates were estimated daily, while the zenith wet delays were estimated every 30 min and tropospheric gradients were estimated hourly. A similar processing scheme was carried out using GMF and VMF1. Generally, the results from VMF3 agree very well with the results from GMF and VMF1, although small biases can be found, especially for the height component. Based on the repeatability, while there is no significant difference for the latitude and longitude, there are slight improvements for the height, particularly compared to GMF. The estimated gradients tend to fluctuate more compared to gradients from GRAD. The correlation coefficients between the estimated gradients and those from GRAD are small, with the largest being 0.65 at site CUKE.

Is the Role of Ideologists Central in Terrorist Networks? A Social Network Analysis of Indonesian Terrorist Groups.

This study aims to describe how group leaders operate with their social ties of jihadi terrorists, using social network analysis. Data was collected through documents and interviews from terrorist detainees who were involved in jihadi terrorism activities in Indonesia. We found that relational trust with operational leaders plays an important role in terrorist social networks. More specifically, operational leaders possess a higher degree of centrality and betweenness centrality compared to ideological leaders, as operational leaders happened to possess stronger social ties (with close friends or respected authorities). Furthermore, we also found that terrorist networks in Indonesia consist of a large group of cells with low density, where members are not strongly connected to each other. The only bridges that were strong in these social networks were those involving operational leaders. This study confirmed previous studies that terrorist groups operate in a cell system, but lead to a novel finding that ideological leaders may play a limited or indirect influence in operational networks.

Classification of Seismic Signal by Evaluating Broadband Networks Station in Sumatera Fore-Arc

Classification of seismic signal waveform is an essential component to realize the characteristics of the signal. The processing of the waveform signal is broadly used for the analysis of the real-time seismic signal. The numerous wavelet filters are developed by spectral synthesis using machine learning python to realize the signal characteristics. Our research aims to generate the performance of seismic signal and processing the waveform from Broadband Network Station by using Wavelet-Based on Machine Learning. In this case, we use Continuous Wavelet Transform (CWT) on Morlet. CWT is also clearly to identify spectral amplitudes and frequency-energy from the component of signal seismic performed by Broadband Network in Indonesia. The characteristic of the digital broadband network in Indonesia is variance. Our project tries to classification and evaluate the Broadband Seismic Network which deployed in Sumatera Region, Indonesia by using Power Spectral Density Probability Density Function (PSDPDF).

PERENCANAAN STRATEGIS SISTEM INFORMASI DI PT TELEKOMUNIKASI INDONESIA, Tbk WITEL SEMARANG MENGGUNAKAN WARD AND PEPPARD

PT Telekomunikasi Indonesia is a State-Owned Enterprise (BUMN) engaged in the field of communication information technology services and telecommunications networks in Indonesia. In running its business, PT Telekomunikasi Indonesia has used technology to run its business. PT Telekomunikasi Indonesia has several divisions that are ready to work in accordance with existing procedures. It is expected that the existence of Human Resources (HR) that is owned now can provide added value to the company PT. Telekomunikasi Indonesia Witel Semarang. The current Human Resources, in the use of technology at PT Telekomunikasi Indonesia Witel Semarang is still not optimal. Given this problem, this research was made using the Ward and Peppard method, with several analytical techniques using PEST and Value Chain techniques to analyze the internal and external environment of the business, SWOT to analyze the internal and external environments of SI and IT, and McFarlan Strategic Grid for mapping application portfolio. This research is expected to improve performance or service for customers in accordance with the company's business goals.

Analysis of Indonesian Motorcycle Gang with Social Network Approach

Analysis of motorcycle gang networks in Indonesia was conducted to determine the dynamics of the motor gang network. This analysis is needed by the government in making appropriate and effective policies in overcoming social problems caused by the existence of this group. The purpose of this study is to detect and determine the community structure of motorcycle gang networks in Indonesia through the use of big data available on the internet, especially social media. This research also utilizes several approaches such as social and behavioral sciences, as well as the computer technology in understanding and finding solutions to problems that arise in society. This study uses a social network analysis method as an instrument that will reveal the social structure of motorcycle gangs with a network centrality approach and community detection. This research succeeded in finding the network structure pattern and network insight of motorcycle gangs by finding the most influential actors. The study also found 25 motorcycle gang groups with high-value network interactions and these groups had more than 2000 active members on social media. In the biker gang social network analysis, the most influential actor has 531 degrees with a weighted degree of 1557.

Preliminary coseismic deformation associated with the July 7th 2019 M7.0 north Maluku earthquake

The 2019 July 7th North Maluku earthquake with M7.0 occurred in the Sangihe double subduction zone. The earthquake epicenter is located at latitude 0.54 N and longitude 126.19 E. Here, we employ continuous Global Positioning System (cGPS) observations to estimate coseismic deformation associated with the North Maluku earthquake. Using 6 days cGPS observations before the event and 6 days cGPS observations after the event we estimate coseismic deformation at 4 nearest cCGPS stations. The coseismic deformation for CTER (Ternate) cGPS stations which located about 134.80 km from epicenter is about 8.4 mm to north-west direction, while the coseismic deformation for CBIT (Bitung) cGPS station (about 151.68 km from epicenter) is 8.3 mm to the south-east direction. Coseismic deformation for another two cGPS stations (CTBL/Tobelo and CTHN/Tahuna) are about 3.0 - 3.6 mm. This value is very important to maintenance the Indonesian geodetic control network in Indonesia and earthquake studies in Indonesia.

Estimating and Reducing the Release of Greenhouse Gases in Local Road Pavement Constructions

Local roads, which comprise 91% of the road networks in Indonesia, are a vital part of the transportation infrastructure. The construction of local roads has had some negative impacts on the environment, one of the most significant of which is the release of greenhouse gases (GHG). In order to develop a strategy for sustainable development in transportation infrastructure, it is essential that GHG emissions be reduced in the local road construction cycle. The aims of this study were to estimate the release of GHG and to elaborate on efforts to reduce GHG emissions in the construction of both rigid and flexible local road pavements. First, a life cycle assessment was performed to calculate the energy consumption and amount of GHG emissions. Next, some possible approaches were explored and elaborated on to seek opportunities to reduce GHG emissions, and therefore, enhance the sustainability of local road constructions. The results showed that material processing and material transportation contributed to 74.0-75.2% and 24.7-26.5% of GHG emissions, respectively. It is also known from the stepwise analysis that the significant predictor to form the amount of GHG both on the rigid and flexible pavement is the distance of the aggregate source to batching/asphalt mixing plant. Hence, the strategies for the reduction of GHG emissions, in this case, might be carried out by substituting current construction materials (cement and asphalt) with less intensive GHG emissions materials, and by reducing the distance for the transportation of the aggregates. The result shows that the first proposed strategy, which is substituting cement or asphalt with fly ash and reclaimed asphalt reduces more GHG than the second one.

Ontology-Based Social Media Talks Topic Classification (Twitter Case)

In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model.

Designing a Credit Submission System Using Android Online-Based SAW Methods

Credit is a financial facility that allows a person or business entity to borrow money to buy a product and repay it within a specified period of time. PT. Capella Multidana is a consumer goods financing company, especially for other vehicle products with the largest and largest outlet network in Indonesia. The number of those who apply for credit makes the company difficult and the process is long because the process with the decision by means of a recording system to determine the right according to the criteria that have been determined. Based on the results of the study, it was concluded that the PT. Capella Multidana consists of several procedures, namely credit applications, credit investigation and analysis, credit approval, credit disbursement, and credit repayment. The credit application system of PT. Capella Multidana has been effective, each unit or division has clear duties and authority, making it easier for employees to do their jobs properly and well.

A Simplified Sounding System for Finding NVIS Channel Availability to Support Government Radio Networks in Indonesia

Mostly natural disasters in Java Island such as landslides are within the vicinity of not more than 200 Km from the district capital. Cellular communications require complex systems and rather vulnerable  to cope with disasters. NVIS mode is considered as a simple radio link during disaster mitigation initiation process. It needs a valid estimation to figure out the condition of the ionosphere. There are two purposes of this study, the first of which is an attempt to find out a fact the existences of authorized HF users who still work in the band of 3 MHz – 10 MHz. The second is to integrate low cost HF radio communication, commonly available small single board computer hardware, and opensource software, to build a sounding system to evaluate the quality of NVIS channels. Prediction system such VOACAP give hourly prediction data, however it has an inherent limitation because of  nature the underlying databases is monthly average based, therefore, the estimation could not be made in a daily bases. However, a real-time channel evaluation (RTCE) able to purify maximum observed frequency (MOF) estimation, and consequently, its able to select the best available frequency for short term and real time operation. In this study, we used WSPR to perform a simple RTCE technique. Furthermore, we also reviewed the current regulatory status regarding the availability of sub-10 MHz band for NVIS radio operation. The results show that discrepancies between simulation and measurement are occurred mainly because of sporadic data in the band of 60m and 80m. However, all of the measurement results and simulations almost have the same agreement regarding the quiet period between local midnight and local sunrise. The results of measurements show that 60m band is the most reliable NVIS channel between local sunrise and local midnight. Furthermore, 100 watts is a proper transmitter power to reach the required SNR for reliable voice communication.Â

Analisis Faktor-Faktor Consumer Engagement pada Media Sosial Twitter Cinema XXI

Cinema XXI is the biggest cinema network in Indonesia. The high number of social media users in Indonesia has made Cinema XXI no longer difficult to embrace all of its customers. Being able to mantain long-term relationships, understanding what consumer wants and needs are important to keep Cinema XXI as the ruler of the cinema market in Indonesia. To do this, Cinema XXI needs to create consumer engagement. Consumer engagement is a marketing investment to create long-term relationship with consumers. Therefore, this research aims to determine what consumer engagement factors were successfully created by Cinema XXI to become the ruler of the cinema market in Indonesia with more than 11 million followers on Twitter social media accounts. By using the Slovin formula, the number of samples in this research were 400 respondents. The factors used amounted to 18 factors obtained from previous research, this reasearch uses quantitative descriptive methods with factor analysis techniques, calculation with SPSS 16. The results of this research state that from the existing dimensions reduced into three new dimensions, namely affective behavioural engagement with sub-dimensional dominance of enjoyment with 0,765, cognitivie behavioural engagement with sub-dimensional dominance of attention with 0,834 and informative engagement with sub-dimensional dominance of up-to-date information with 0,873.

Effect of Green Road Concept on Waste Management on Road Construction in The Banda Aceh City

The length of road network in Indonesia continues to increase gradually in every year. This increase will influence an availability of natural resources as the formation materials of road structures. For that, it is necessary to develop a green road concept that is able to reduce the use of natural resources and minimize the occurrence of waste materials generated. This concept is an ongoing movement that targets the construction of the planning, implementation, and usage of environmentally friendly construction products, efficient in energy and resource usage, and low cost and the achievement of appropriate construction quality. Increased waste materials in the construction process is one aspect that must be minimized in order to achieve the concept of green roads. This study aims to analyze the relationship and influence the factors of application of green roads concept to waste management of road construction project. Another purpose is to know the dominant factors affecting waste management of road construction projects. This study was done for road construction process in the Banda Aceh in Indonesia. This research uses qualitative and quantitative methods through the distribution of questionnaires. Respondents in this study were 90 units of road contractor companies has implemented projects from 2010 to 2016. The research result shows that the factor of application of green road concept that has the most influence on waste management is economic factor. The effect of this economic factor on road waste management is 18.7%. This indicates that if economic factor is enhanced, the waste management will increase on road construction project in Banda Aceh City.

Price and Marketing Information in Chili Farmers Communications Network in Indonesia

Fluctuations in price and the nature of chilli that can easily damaged lead to chili farmers need accurate and reliable information to improve its marketing. It is interesting to study the communication network of chili farmers in the process of collecting information on the price and marketing. The purpose of this research is to analyze the communication network of price and marketing information of the chilli farmers in Pacet District of Cianjur Regency, West Java Indonesia. The communication network is analyzed using UCINET 6 analysis tools and individual analysis unit. The results of the study shows that: 1) the communication network structure is centralized or interlock personal network, 2) the source of information (star) is the chairman of the farmers group or farmers group association who works as a trader, 3) the average values of out-degree and in-degree is about 1.276 and 1.394.

ISIS Terror on detik.com Online Media in Indonesia

Bomb explosions carried out by the ISIS network in Indonesia attracted the attention of the mass media, both local, national and international, including detik.com and republika.co.id. In covering the events, each media had a different perspective so that gave birth to the tendency in the news. Framing reporting aims to make the audience also have a similar tendency to the media read. The purpose of this study is: To find out the tendency of reporting on ISIS by detik.com and its implications for the reader's perception of the Islamic state. This study uses a qualitative approach with a type of descriptive research that aims to explain the implications of detik.com framing related to ISIS terrorism news in Indonesia, especially regarding audience perceptions about the Islamic Caliph. Media framing was carried out through the analysis of Zondang Pan and Kosicki. For framing effects the reception theory is used. The speakers were activists of Islamic Student Organizations, IMM, KAMMI, HMI, HIMMAH and PMII. The results showed that detik.com's readers' perception of the Islamic State was a positive concept, but it did not have to be realized in a formal or forced form, especially in Indonesia. Detik.com readers also view the concept of Islamic sharia as something positive, but not made in formal form through statutory regulations. In detik.com news, it is more likely to be neutral by submitting field facts and opinion facts in the news without relating to matters related to Islam.

Machine Learning for Waveform Spectral Analysis on Nuclear Explosion Signal and Performance of Broadband Vertical Component

Machine learning of nuclear explosion signal waveform is core component to realize the characteristics of signal. The processing of waveform explosion signal is broadly used for analysis of real time explosion signal. The numerous wavelet filters are developed by spectral synthesis using machine learning python to realize the signal characteristics. Our paper aims to generate the performance of nuclear explosion signal and processing the waveform from seismic sensor by using Continuous Wavelet Transform (CWT). CWT is also clearly to identify of spectral amplitudes and frequency-energy from component of signal seismic performed by Broadband Network in Indonesia. Finally, by machine learning python allows good time resolution for identified and performed of seismic signal from broadband which deployed in Indonesia.

Segmentation of business saving customer to improve average balance based on structural equation modeling (SEM) and recency, frequency, monetary (RFM): Case study Bank XYZ in Indonesia

As business players, entrepreneurs certainly need bank products and supports that provide fast and easy services with wide-spread network in Indonesia. RFM is a segmentation method based on past data and create an index on a client where the high loyalty and assume the behaviour of customers in the index will be the same in the future. Certainly, customers with high RFM score were customers who become the target of the Bank because these customers have high loyalty and valuable for the Bank. In this study, segmentation performed based on transactions which affect the increase in average balance using Structural Equation Model (SEM). The objects of RFM segmentation is to identify the customer in order to build a marketing strategy for each segment with different levels of loyalty. As the segmentation results we found three driver categories, High Recency, Middle Recency and Low Recency customer category. High Recency is considered Active customer where campaign category can be cross/up-selling and promotional accordingly with their Frequency and Monetary. Middle Recency category is considered Risky customer where campaign category can be retention program accordingly with their Frequency and Monetary. Last, Low Recency is considered Churn customer where campaign category is reactivation

PENGARUH STRATEGI PEMASARAN TERHADAP LOYALITAS KONSUMEN PADA GIANT SUPERMARKET (PT. HERO SUPERMARKET TBK) DI BANDAR LAMPUNG

Abstract The object of this research is Giant Supermarket (PT Hero Supermarket Tbk) in Bandar Lampung. Giant is one of the largest retail networks in Indonesia. The problem studied was to find out the effect of marketing strategies on consumer loyalty at Giant Supermarket (PT. Hero Supermarket Tbk) in Bandar Lampung because of consumer loyalty at the Giant Supermarket (PT. Hero Supermarket Tbk) which declined. The research method used in this study is library research and field research conducted by directly examining Giant Supermarkets (PT Hero Supermarket Tbk) in Bandar Lampung related to marketing strategies and their influence on consumer loyalty at Giant Supermarket (PT. Hero Supermarket Tbk) in Bandar Lampung. The results showed that the matrix analysis of IFAS and EFAS resulted in an analysis of the company's internal factors in the marketing strategy of Giant Supermarket (PT Hero Supermarket Tbk) in Bandar Lampung, which became the main force, namely promotion carried out by the company with a total value of 0.4662 and the main disadvantage is that famous brands still dominate with a total value of 0.1200. While the company's external factors in the marketing strategy of PT Giant Supermarket (PT Hero Supermarket Tbk) in Bandar Lampung, which is the main opportunity, is an increase in the population with a total value of 0.4235 and the company's main threat is the number of competing companies with a total value of 0.1582 . External internal matrix analysis (IE) Giant Supermarkets (PT Hero Supermarket Tbk) In Bandar Lampung are in the V cell position, thus implementing a strategy of maintaining and maintaining consumers (high consumer loyalty). Keywords: Strategy, Marketing, Loyalty, Consumers, IFAS, EFAS