The Infusion of Notification Design With an Application of Social Media Based on a Internet of Things (IOT)

Candra, Rudi Arif; Saputra, Devi Satria; Ilham, Dirja Nur; Setiawan, Heri; Hardisal, Hardisal

doi:10.33395/sinkron.v5i1.10610

Cited by 13 publications

(14 citation statements)

References 8 publications

(5 reference statements)

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“…The convergence of IoT and social networks has evolved to present the Social IoT (SIoT), which enables each object to identify services by using its relationships [47]. In this context, authors in [48] proposed a three-layer architectural model (data, network and application layers) to detect telegram data infusion through classifying telegram notifications' speeds using the genetic algorithm. The architecture did not handle spatial data and data timeliness that affected analytics latency and anywhere analytics.…”

Section: B Social Media Monitoringmentioning

confidence: 99%

The Internet of Things and Architectures of Big Data Analytics: Challenges of Intersection at Different Domains

2022

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The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication capabilities. The core element of IoT is the complex big data generated from different interconnected sources at real-time, presenting divergent processing and analysis challenges. Best practices in software engineering have been continuously addressed in IoT technologies to handle such big data efficiently at different domains. Despite of the massive studies dedicated for IoT, no explicit processing architecture is proposed based on real investigation of software engineering concepts and big data analytics characteristics in IoT. This paper provides a systematic literature review for the current state-of-the-art of IoT systems in different domains. The study investigates the current techniques and technologies that serve IoT systems from the big data analytics and software engineering perspectives, revealing a matrix for the specific IoT data features and their encountered challenges and gaps for each domain. The review deduces a proposed domain-independent software architecture for big IoT data analytics, maintaining various IoT data processing challenges, including data scalability, timeliness, heterogeneity, inconsistency, confidentiality and correlations. Finally, the main research gaps are emphasized for future considerations.

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Section: B Social Media Monitoringmentioning

confidence: 99%

The Internet of Things and Architectures of Big Data Analytics: Challenges of Intersection at Different Domains

2022

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“…Light Control Design by Using Social Media Telegram Applications Based on Internet Of Things (IOT) (Candra, Ilham, Hardisal, & Sriwahyuni, 2019). The Infusion of Notification Design With an Application of Social Media Based on the Internet of Things (IOT) (Candra, Saputra, Ilham, Setiawan, & Hardisal, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Build a Multilevel Mace Nutmeg Dryer to Improve the People's Economy

Ihsan¹,

Ilham²,

Putra

et al. 2021

SinkrOn

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Nutmeg is a source of income for some people in South Aceh, and some types of nutmeg, like mace nutmeg, are of better quality. Mace nutmeg is also an agricultural community with great economic value and benefits for humans, as it can be processed into spices and herbs. A range of products includes nutmeg oil and medicines. The harvesting and drying of mace nutmeg, which is still considered a problem by nutmeg growers, cannot be isolated from the processing of the basic ingredients. The natural process of drying mace nutmeg involves the use of sunshine, which necessitates a considerable drying time. Therefore nutmeg farmers frequently complain of erratic weather, especially during the wet season. The constant rain can cause the mace to rot, causing the nutmeg farming community's revenue to become unstable. Methods and steps of research work starting from the study of literature, determination of design specifications, hardware design, software design, toolmaking, tool testing.Good results were reached with the dryness of the mace nutmeg, which can be adjusted, and without putting into account the weather in the drying process, which is usually done with the heat of the sun, per the results of the testing of the designed tools.The average dryness of mace nutmeg is at a temperature of 45 percent with a time of 4 hours and a capacity of 100 grams; according to the test results of the automatic mace drying machine, it produces 50 grams of dry mace.

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“…The application of the internet of things has also been carried out for heart rate monitoring (Ilham, Hardisal, Balkhaya, Candra, & Sipahutar, 2019) (Ilham, 2020). also applied to light control using social media applications (Candra, Ilham, Hardisal, & Sriwahyuni, 2019).Control the infusion run out with Arduino Uno with social media apps (Candra, Saputra, Ilham, & Setiawan, 2020). Application of Internet of Things (IoT) for Lighting Control Using a Web-Based Arduino(Artono& Putra, 2019).…”

Section: Introductionmentioning

confidence: 99%

Rain Monitoring System for Nutmeg Drying Based on Internet of Things

Ilham¹,

Satria²,

Anugreni³

et al. 2021

CNAHPC

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One of the stages in drying the nutmeg is drying the nutmeg in the afternoon which is directly illuminated by the sun. The nutmeg owners in South Aceh is very difficult to get information about rain falling during the day if they are outside or are not in the nutmeg drying area. The process of monitoring the occurrence of rain during the drying of the nutmeg has been done manually by monitoring or seeing the state of the sky when it is cloudy. The purpose of this research is to create a rain monitoring system based on the “Internet of things” internet to make it easier for nutmeg owners to get information about rain falling from a distance. This research uses nodeMCU which functions as a controller of a rain monitoring system, a raindrop sensor as a rain detection sensor. The working system of the rain monitoring tool is by connecting the nodeMCU to the led light and if the raindrop sensor is exposed to rain then the led light will turn on or light up and the raindrop sensor reads the data point. If the data point is read 1024, it indicates that the condition is not raining, while if the data point value is 700 -1023, it indicates the condition of the drizzle, and the data point value from 0-600 indicates the heavy rain condition. The raindrop sensor sends data points to the ThingsIO.AI website as a condition notification that the nutmeg drying area is drizzling, heavy rain, or no rain. For monitoring of nutmeg drying area, it can be accessed remotely via the “website ThingsIO.AI” using smartphones and computers that are connected by the internet. Based on the results of testing the average data point delivery time is 1 minute and the value of the data point obtained is 488-1009

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The Infusion of Notification Design With an Application of Social Media Based on a Internet of Things (IOT)

Cited by 13 publications

References 8 publications

The Internet of Things and Architectures of Big Data Analytics: Challenges of Intersection at Different Domains

The Internet of Things and Architectures of Big Data Analytics: Challenges of Intersection at Different Domains

Design and Build a Multilevel Mace Nutmeg Dryer to Improve the People's Economy

Rain Monitoring System for Nutmeg Drying Based on Internet of Things

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