In an internet of things (IoT) based smart healthcare system, personal health data can be produced by means of various wearable devices connected through a wireless body area network (WBAN). Since they contain sensitive information, whole collected data should be stored in a platform that guarantee both data confidentiality and integrity. In this sense, permissioned blockchain i.e. Hyperledger can be seen as an auspicious candidate for providing a secure yet scalable storage platform thanks to its data integrity and peers decentralization features. Considering that both IoT and blockchain network have different working mechanism, therefore, a software platform is required to provide an integration layer between the IoT and blockchain network. In this paper, we propose the design of IoT-to-Blockchain platform for integrating internet of things based smart healthcare system and blockchain network. The proposed system consists of five components including blcokchain-to-device interface, chain code execution interface, membership service provider (MSP), peers node and ordering node. The proposed system consists of five components including HTTP-based API gateway as device-to-blockchain interface, membership service provider (MSP), peers node and orderer. At first, the API gateway receives sensing data from IoT gateway device. Upon reception, the API gateway acting as client invokes chain code installed in each blockchain peer by emitting a transaction proposal to peers. Peers then simulate the execution and send back the endorsed data to the client i.e. API gateway. Collected endorsement from various peers are sent to orderer which then build a block containing an ordered transactions received from all clients and then broadcast that block to all peers. Each peer the performs a final verification before committing all ordered transactions on that block into its own local ledger. By using this mechanism, every peer in network can receive similar transaction orders which lead to identical ledger state changes.

The increase in peatland fire’s intensity has encouraged people to develop methods of preventing wildfire. One of the prevention methods is recognizing the distribution pattern of hotspot as one of forest and land fire indicators. We could determine the area that has high fires density based on distribution patterns so any early prevention steps could be performed in that area. This research proposed to recognize the distribution pattern of hotspot clusters in the peatland areas in Sumatera in the year 2014 using Kulldorff’s Scan Statistics (KSS) method with Poisson model. This approach was specifically designed to detect clusters and assess their significance via Monte Carlo replication. Results showed that the method is reliable to detect the clusters of hotspots which have the accuracy of 95%. Riau and South Sumatera province have the highest density of cluster distributions of the hotspot. Based on the maturity level of peat, cluster distributions of hotspot were mostly found in ‘hemic’ maturity level. Based on peatland thickness, cluster distribution of hotspot was mostly found in ‘very deep’ thickness.

Agriculture is among the most vulnerable of all sectors to drought. Droughts cause serious effects on the agricultural sector due to its heavy dependence on rainfall. In the present work, we use the Vegetation Health Index (VHI) of MODIS Data as drought indices to monitoring the drought over East Java, Indonesia. VHI is computed based on the vegetation index and land surface temperature which are very important satellite products for drought monitoring with remote sensing. VHI describes vegetation health from the combination of TCI VCI. Based on VHI monitoring drought area distribution increase 3.69% in period 2017-2018. The highest distribution of drought area occurs in July to October. Average distribution of drought area is 22.24% in 2017, and 25.93% in 2018 from total wide 1.174,586 km2 of paddy field area. Based on VHI value in 2017 to 2018 the drought maps in agricultural area of East Java were dominated by moderate drought.

An internet of things (IoT) based smart healthcare system may consists of various wearable devices connected through a wireless body area network (WBAN) communication protocol. In one side, the heterogeneity of those connected devices open up a wide opportunity to develop various applications from personal health assistance to massive national healthcare planning. However, in another side, it poses an interoperability challenge since each publishing device may have different message format and communication mechanism. Considering that challenge, the web platform can be seen as promising candidate for providing an interoperability layer as we can abstract various devices as single representation i.e. web resource. In this paper, we propose the design of middleware for enabling efficient web of things access over healthcare wearable devices. The proposed middleware consists of three components: gateway-to-cloud device, messaging service and data access interface. The gateway device has an important role to collect the sensor data perceived by various wearable sensing device through a bluetooth low energy (BLE) protocol. The collected data are then relayed to the a cloud data center using lightweight MQTT messaging protocol. In order to provide an access to the stored data, the system offers two kind of interfaces: the Restful HTTP for non-real time access and MQTT websocket interface to accommodate access on sensing data in real time manner.

In IoT-based smart healthcare services, the heterogeneity of connected wearable sensing devices open up a wide opportunity to develop various healthcare services. However, it also poses an interoperability challenge since each sensing device and application may have different communication mechanisms. Considering that challenge, web platform can be seen as a promising candidate for providing an interoperability layer as we can abstract various devices as single representation i.e. web resource. In this paper, we propose the design of middleware for enabling efficient web of things access over healthcare wearable devices. The proposed middleware consists of three components: gateway-to-cloud device, messaging service and data access interface. The gateway-to-cloud device has a role to perform low level sensor data collection from various wearable sensing device through bluetooth low energy (BLE) communication protocol. Collected data are then relayed to the cloud IoT platform using a lightweight MQTT messaging protocol. In order to provide device abstraction along with access to the stored data, the system offers two kind of interfaces: the Restful HTTP identified by unique universal resource locator (URL) for batch access and MQTT websocket interface identified by unique topic to accommodate access on sensing data in near real time stream manner.

Panti Asuhan Yatim Abdul Kadir Kurnia merupakan salah satu lembaga panti asuhan yang terletak di Kota Malang. Panti asuhan ini memiliki program kegiatan usaha untuk memberikan bekal keterampilan pada anak asuh serta menambah sumber pendanaan lembaga. Namun, kegiatan usaha yang dilakukan oleh Pondok Anak Yatim Abdul Kadir Kurnia ini kurang maksimal dalam segi penjualan. Faktor kurang maksimalnya penjualan ini dikarenakan produk-produk karya panti tidak terpasarkan dengan baik. Perlu pemahaman tentang pengelolaan pemasaran secara online secara digital marketing seperti sosial media atau web e-commerce, sehingga produk yang telah dibuat dikenal masyarakat luas. Kegiatan pengabdian masyarakat yang diusulkan ini berinisiatif untuk menerapkan dan memanfaatkan website e-commerce dan sosial media guna mengenalkan produk-produk karya kegiatan usaha dari panti asuhan Abdul Kadir Kurnia ke khalayak publik.