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Untuk mengikuti perkembangan industri yang telah masuk pada era revolusi industri 4.0, dimana era ini merupakan era pengembangan Internet of Things (IoT) dan big data, semua sektor secara tidak langsung dipengaruhi, tidak terkecuali sektor pertanian, perkembangan pertanian dengan memanfaatkan teknologi komunikasi dan informasi khususnya teknologi IoT dan big data di Indonesia masih sangat minim sekali, bahkan bisa dikatakan masih belum berkembang, maka dalam penelitian ini peneliti melakukan peneltian di sektor pertanian, khususnya sektor irigasi pertanian dengan memanfaatkan teknologi IoT. Penelitian ini merupakan salah satu tahapan untuk memanfaatkan teknologi IoT yang diaplikasikan pada sistem irigasi pertanian, penelitian ini tidak hanya membangun sistem kontrol sensor yang diintegrasikan pada mikrokontroller namun juga membahas tentang arsitektur jaringan komunikasi, sehinga sistem irigasi ini bisa melakukan komunikasi dua arah dengan baik, cepat dan menjangkau area luas, sistem juga dibekali antarmuka yang mudah digunakan, antarmuka dibangun menggunakan aplikasi berbasis Mobile, antarmuka ini akan memudahkan user dalam mengakses informasi dan mengontrol sistem yang dibangun. penelitian ini mampu melakukan kontrol sistem irigasi jarak jauh dangan memanfaatkan teknologi IoT serta diharapkan berkontribusi dalam mewujudkan revolusi industri di Indonesia yang dikenal dengan “ Making Indonesia 4.0” khususnya dalam bidang pertanian.

Internet of things (IoT) becomes the backbone of the advanced countries and it has a real contribute to exchange the traditional style or way of practical life, even personal life into smart style, with (IoT) technology the life become more and more easy and professional. internet of things achieves various applications coordinate with sensors and standard protocols to apply what is called machine -to- machine connection (M2M), in this paper we will talk more about the concept of (M2M), the main component of internet of things and finally the common protocols that is used in network, in addition to that this work present an IOT operation with processing system using camera for capturing image and Xilinx system generator(XSG)models for designing image processing algorithms and the result of the processing is an image with black and white for edge detection and Thresholding models and gray color image for gray enhancement model.

Climate change is recognized as an important issue at the center of world discussion. The importance of agriculture and forestry in the control or mitigation of climate is an important issue that has gained a lot of attention recently. Climate smart agricultural and forestry practices a situation where practices that will promote mitigation and reduce emission towards a better food security and environmental friendly weather are considered in this review paper. Also the role played by extension workers was also discussed. Climate smart agricultural and forestry practices such as planting of drought resistant crops, changes in cropping pattern, irrigation efficiency improvement, afforestation and agro-forestry were elucidated. It was concluded that an extensive extension service that will adequately educate and reach out to stakeholders at all levels will improve capacity to control the impact of climate change.

Perkembangan internet pada masa sekarang sangatlah pesat. Ketergantungan masyarakat terhadap internet sangat tinggi, terutama digunakan sebagai sumber pencarian informasi dan berbagai macam media sosial. Namun, saat ini penggunaan internet tidak hanya terpaku pada pencarian informasi dan media sosial saja, akan tetapi dapat juga digunakan untuk menghubungkan dan mengendalikan satu perangkat dengan perangkat lainnya tanpa campur tangan manusia. Teknologi ini disebut dengan Internet of Things (IoT). Salah satu perangkat yang sering dikendalikan menggunakan internet adalah peralatan listrik rumah tangga. Listrik saat ini juga menjadi kebutuhan dasar masyarakat. Namun, masyarakat juga sering mengeluh tentang biaya pembayaran listrik yang semakin mahal setiap bulannya. Hal ini disebabkan karena masyarakat sering lupa mematikan listrik sebelum pergi meninggalkan rumah. Dengan melihat permasalahan tersebut, maka dibuatlah sebuah alat yang mampu mematikan dan menghidupkan peralatan listrik rumah tangga dari jarak jauh melalui internet. Alat ini menggunakan Raspberry Pi, Relay, dan Platform Cayenne yang dipasangkan pada Smartphone Android.

“Internet of Things” adalah babak baru Perkembangan teknologi modern pada saat ini hampir semua perangkat dan mesin bisa berkomunikasi, interaksi dan komunikasi mesin dengan mesin, komputer dengan komputer sangat menarik untuk dilakukan penelitian dan dilakukan analisa implementasi, komunikasi mesin dengan mesin atau komputer dengan komputer membutuhkan satu protokol atau antarmuka sebagai sarana untuk interaksi antara pengguna dengan sistem operasi, kendaraan atau alat transportasi darat sudah dilengkapi dengan Electronic Control Unit (ECU), dengan konektor OBD-2 penulis memamfaatkannya sebagai protokol antarmuka komunikasi dengan perangkat telpon gengam melalui bluetooth sehingga kondisi dan status kendaraan bisa diketahui dan hasilnya bisa digunakan untuk pendahuluan analisa seorang mekanik di bengkel dan status kendaraan ini bahkan kita bisa bagikan di media sosial.

Machines are valuable assets that need to be protected from damage and failure through proper maintenance measures. This paper proposes a system that automatically monitors the running time of machines and sends notifications regarding their preventive maintenance (PM) schedules. The system core consists of a programmable logic controller (PLC) and a human machine interface (HMI). The HMI is connected to an online platform via internet connection provided by a router, so that the monitoring result can be accessed via Android smartphone or laptop/PC. This IoT-based running time monitoring system (IRTMS) will be particularly helpful in implementation at an production site that consists of multiple various machines. The PM items of a machine may vary from cleaning, changing single component, to an overhaul, each with different time interval. By using the IRTMS, the user will have an overview of the PM schedules anytime and anywhere. The preparation of material, components, or tools can be known ahead of time. For simulation purpose, a prototype is constructed by using components as used in industrial real-life condition. Four output connections are provided to simulate the simultaneous monitoring of four machines. The IRTMS prototype is tested and completely successful on doing the running time monitoring, the running time reset, the PM notifications, and the remote access for monitoring and control.

The subject of the study is the development of the service sector in the framework of the digitalization of the economic space. The goal is to clarify the processes of dependence of the development of the service sector in the context of the digital transformation of the economy at the present stage of development of the national economy. The author sets the following tasks: to analyze the main economic indicators of the development of the service sector; identify the features of digital transformation of business in this area; determine the patterns of development of the service sector under the influence of digital processes. As a result, the author reveals patterns and trends in the development of the service sector under the influence of digital processes - an increase in the activity coefficient and a decrease in the number of personnel. The obtained materials can be used to promote the development of the service sector at the macro and micro levels, which determines the value of this study. Scientific novelty lies in the formed matrix of the relationship between the development of individual service industries and business digitalization processes. The article reveals the heterogeneity in the field of digitalization of business processes in the service sector, as well as the trend towards a relative increase in the efficiency of enterprises in industries characterized by high digital activity.

This study aims to determine the contribution, position, growth, and basis and non basis of each agricultural subsector to the GRDP in the economy of Hulu Sungai Utara Regency from 2013-2017. The data used is secondary data originating from the Central Bureau of Statistics and related government agencies. The analytical method used is contribution analysis, typology of class, shift share and LQ. The results showed that of the five agricultural sub-sectors in North Hulu Sungai Regency the highest contribution to the agricultural sector was the food crop subsector in the past five years at 61.07%. The position of the five agricultural sub-sectors is in the third place, which means that the five subsectors are potential or can still develop. The growth of each agricultural sub-sector in the economy of Hulu Sungai Utara Regency varies from the proportional growth of the food, livestock and fisheries sub-sectors to rapid growth while the horticulture and plantation subsectors experienced slow growth. The five agricultural sub-sectors are not competitive or lack competitiveness with other regions in South Kalimantan Province. The subsector which is the subsector of the base is the food, livestock and fisheries subsector while the horticulture and plantation subsector is the non-base sub-sector in North Hulu Sungai Regency.

Today's technological progress has allowed the use of intelligent devices and machines al-most everywhere. The refrigerator is considered one of the most important appliances, which is used almost everywhere for the purpose of storing food, beverages, and medicines at low temperatures and in a closed place to avoid exposure. There is such a problem as the lack of cashless vending machines, the unavailability of information about the location of vending machines, etc. As a solution to the above problems, a smart re-frigerator is offered. The proposed smart refrigerator uses a Radio Frequency Identification (RFID) reader, an Arduino Uno microcontroller, RFID tags for all items in the refrigerator, a user-friendly application de-veloped using Microsoft Visual Studio, Python, a core MySQL database developed by vendors to store in-formation related to each purchased item, and a GSM/GPS A7 module, with support for GPRS data trans-mission.

Agriculture plays an important role in producing food supply for survival. The agriculture practice is performed by multiple factors such as soil type, fertilisers, plant samplings, irrigation practice, etc. On these factors on which agriculture depends, irrigation is one of the major factors for the better yield of crops, just like any other factor. Therefore, efficient irrigation practice has to be performed to increase cultivation production and preserve available water resources for optimal usage. Traditional methods of irrigation practice are well suited for situations with surplus water resources but not very efficient when it comes to scarce places. So, we propose a new IoT-driven root zone injection method of irrigation which is estimated to perform required irrigation practices in places of high water scarcity. This method is performed with the help of machine learning, IoT devices, wireless neural networking of sensors, and root zone injection equipment for automation. The mechanism starts with collecting real-time data from the agricultural field for specified crop types by using a wireless neural network of sensors and forming the dataset. Once the dataset is formed, it will be processed and cleaned to feed into machine learning algorithms. The machine learning algorithm (here, it is linear regression) will make the required prediction for the water content needed for the irrigation process for that particular day. The dynamic estimation is made as the water content required will vary from the growing phases of plants where it is minimum at the initial phase, peak at middle and reduce or increase depending on the plant species at later phase of growth. This estimated water content is then delivered to the plants through the irrigation process, governed by the IoT devices, which have the procedures encoded for irrigation. ML prediction guides the IoT system on how much water to deliver to the plants. Finally, the injection setup of the root zone passes the water directly to the underground root zones. Thus, completely preventing evaporation wastage and accurate water content estimation and supply, achieving optimal irrigation practice.