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"This book introduces readers to all the necessary components and knowledge to start being a vital part of the IoT revolution. The author discusses how to create smart-IoT solutions to help solve a variety of real problems. Coverage includes the most important aspects of IoT architecture, the various applications of IoT, and the enabling technologies for IoT. This book presents key IoT concepts and abstractions, while showcasing real case studies. The discussion also includes an analysis of IoT strengths, weaknesses, opportunities and threats. Readers will benefit from the in-depth introduction to internet of things concepts, along with discussion of IoT algorithms and architectures tradeoffs. Case studies include smart homes, smart agriculture, and smart automotive.- Provides readers with a comprehensive overview of IoT;- Includes discussion of IoT algorithms and architectures tradeoffs;- Uses real, industrial applications/case-studies to demonstrate concepts introduced."

"This textbook presents an end-to-end Internet of Things (IoT) architecture that comprises of devices, network, compute, storage, platform, applications along with management and security components with focus on the missing functionality in the current state of the art. As with the first edition, it is organized into six main parts: an IoT reference model; Fog computing and the drivers; IoT management and applications ranging from smart homes to manufacturing and energy conservation solutions; Smart Services in IoT; IoT standards; and case studies. The textbook edition features a new chapter entitled The Blockchain in IoT, updates based on latest standards and technologies, and new slide ware for professors. It features a full suite of classroom material for easy adoption."

"Kebutuhan listrik di Indonesia terus meningkat seiring dengan pertumbuhan penduduk. Dalam rangka memastikan ketersediaan listrik yang stabil dan dapat diandalkan, diperlukan sistem manajemen energi yang efektif. Kemajuan digitalisasi dan perkembangan teknologi membuka peluang untuk merancang sistem manajemen energi berbasis Internet of Things (IoT) yang berfungsi sebagai jaringan cerdas. Dalam penelitian ini, sistem manajemen energi yang diusulkan menggabungkan mikrokontroler, sensor, dan kontaktor untuk mengontrol suplai daya dalam jaringan cerdas yang terdiri dari dua sistem PLTS, baterai, dan jaringan induk PLN. Ketika daya yang dihasilkan oleh kedua sistem PLTS lebih rendah daripada kebutuhan beban, mikrokontroler akan menginstruksikan kontaktor baterai untuk menutup, sehingga kelebihan daya dari PLTS dapat digunakan untuk mengisi baterai. Namun, jika total daya dari PLTS tidak mencukupi untuk memenuhi kebutuhan beban, kontaktor baterai akan dibuka untuk menyuplai daya tambahan. Baterai dapat melakukan proses discharging selama tingkat State of Charge (SoC) baterai tidak melebihi batas yang ditentukan, yaitu 60%. Setelah SoC baterai melewati batas tersebut, baterai tidak dapat lagi menyuplai daya, dan kekurangan daya akan disuplai oleh jaringan PLN melalui generator asinkron. Selain itu, diimplementasikan juga aplikasi Blynk sebagai alat monitoring data dan pengontrolan manual kontaktor dalam sistem manajemen energi. Hasil pengujian dan analisis data menunjukkan bahwa sistem yang diusulkan dapat mengatasi fluktuasi daya dan memastikan ketersediaan listrik yang memadai untuk memenuhi kebutuhan beban.

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The need for electricity in Indonesia continues to increase along with population growth. To ensure the availability of stable and reliable electricity, an effective energy management system is required. Advances in digitalization and technological developments open opportunities to design Internet of Things (IoT)-based energy management systems that function as intelligent networks. In this study, the proposed energy management system combines a microcontroller, sensor, and contactor to control the power supply in an intelligent network consisting of two PV mini-grid systems known as Solar PV System, batteries, and the PLN main grid. When the power generated by the two PV systems is lower than the load requirements, the microcontroller will instruct the battery contactor to close, so that the excess power from the PV system can be used to charge the battery. However, if the total power from the PV system is insufficient to meet the load requirements, the battery contactor will be opened to supply additional power. The battery can carry out the discharging process as long as the State of Charge (SoC) level of the battery does not exceed the specified limit, which is 60%. Once the battery SoC crosses the limit, the battery can no longer supply power, and the power shortage will be supplied by the PLN network via an asynchronous generator. In addition, the Blynk application is also implemented as a data monitoring tool and manual control of contactors in the energy management system. Test results and data analysis show that the proposed system can overcome power fluctuations and ensure adequate electricity availability to meet load requirements.

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"This book covers various aspects of security, privacy and reliability in Internet of Things (IoT) and Cyber-Physical System design, analysis and testing. In particular, various established theories and practices both from academia and industry are presented and suitably organized targeting students, engineers and researchers. Fifteen leading academicians and practitioners wrote this book, pointing to the open problems and biggest challenges on which research in the near future will be focused."

"Agregasi data adalah teknologi yang dapat digunakan secara efektif di Jaringan Internet of Things (IoT) untuk berbagai aplikasi dalam aktivitas sehari-hari, misalnya, penerapan sistem kinerja sistem secara Real-Time. Peningkatan efisiensi spektral dapat digunakan untuk memenuhi persyaratan kecepatan transmisi yang tinggi untuk agregasi data. Precoding Digital dan Analog dioptimalkan untuk meningkatkan kualitas agregasi data di jaringan IoT dengan cara mengoptimalan precoder digital menggunakan solusi secara iteratif dengan menggunakan teknik water-filling solution, sedangkan pada sisi analog penulis mengoptimalkan precoding analog secara iteratif dengan setiap iterasi nya akan terus di update menggunakan parameter yang diusulkan penulis. Penulis menggunakan parameter efisiensi spektral sebagai tolak ukur keberhasilan dari kinerja suatu sistem perangkat jaringan IoT. Akhirnya, hasil simulasi menunjukkan bahwa algoritma yang diusulkan dalam meningkatkan efisiensi spektral pada transceiver hybrid memiliki nilai yang lebih besar dari algoritma penelitian sebelumnya.

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Data aggregation is a technology that can be used effectively in Internet of Things (IoT) Networks for various applications in daily activities, for example, implementing Real-Time performance systems. Improved spectral efficiency can be used to meet high transmission speed requirements for data aggregation. Digital and Analog Precoding are optimized to improve the quality of data aggregation in the IoT network by optimizing the digital precoder using a solution iteratively using a water-filling solution technique, while on the analog side of the author, optimizing analog precoding iteratively with each iteration will continue to be updated using the proposed parameters. writer. The author uses spectral efficiency parameters as a measure of the success of an IoT network device system. Finally, the simulation results show that the proposed algorithm in improving the spectral efficiency of the hybrid transceiver has a greater value than the previous research algorithm."

"Teknologi automasi sudah berkembang dengan pesat pada belakangan ini. Teknologi seperti Internet of Things (biasa disebut dengan sebutan IoT), mempunyai beberapa perangkat tersendiri, salah satu perangkatnya yaitu adalah smart home system. Smart home sistem ini dapat digunakan untuk membuat rumah menjadi pintar dan juga dapat digunakan untuk menghemat penggunaan energi secara efisien dalam rumah di kehidupan sehari-hari, seperti listrik dan air yang dapat mengakibatkan dampak negatif untuk lingkungan jika digunakan terlalu berlebihan. Penelitian yang dilakukan merupakan penelitian empiris dengan metode penelitian kuantitatif. Penyebaran kuesioner dilakukan di Indonesia dengan kriteria responden yang berdomisili di Jabodetabek, berumur 18 tahun ke atas, menggunakan internet lebih dari tiga jam per harinya, dan belum mempunyai perangkat smart home. Adapun jumlah sampel yang digunakan dalam penelitian ini adalah sebesar 294 sampel. Pengolahan data menggunakan SEM dengan software LISREL 8.5. Hasil Penelitian menunjukkan bahwa environmental concern, perceived usefulness, dan trust mempengaruhi intention to use secara positif dan signifikan. Kemudian ditemukan juga hubungan antara environmental beliefs dan environmental concern mempunyai hubungan positif yang signifikan. Untuk perceived privacy risk, ditemukan bahwa variabel tersebut mempunyai hubungan negatif yang signifikan terhadap trust untuk perangkat smart home. Hasil penelitian ini penting untuk perkembangan dalam pasar smart home di Indonesia

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Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home device can help to make the energy expense much more efficient. Therefore, this study aims to see and examine the relation between pro-environmental behavior (environmental beliefs and concern), the moderating variable of materialism, perceived privacy risk and trust that can influenced the intention to use of smart home device. This study is an empirical study with quantitative research method. The respondent used in this study is live in Jabodetabek, age above 18 years old, tech savvy, and know the concept of smart home technology but does not have the smart home device. The sample use in this study are 294 samples. The data collected was tested using and analyzed using SEM with LISREL 8.5. The result of the research shows that environmental concern, perceived usefulness, and trust has a positive and significant effect towards intention to use smart home device. For the relationship between environmental beliefs and environmental concern, it was also has positif and significant effect. The result also shown that perceived privacy risk has a negatif significant effect towards trust of smart home device. The result of this research are important for the development of smart home market in Indonesia."

"Sejalan dengan revolusi industri keempat dan inovasi teknologi, proses pembangunan konstruksi menjadi lebih kompleks karena peningkatan inovasi dalam desain bangunan, struktur, dan metode pembangunan konstruksi di seluruh dunia. Salah satu solusi yang terbaik untuk masalah manajemen konstruksi yang umum adalah dengan memanfaatkan penggunaan teknologi pada setiap fase siklus hidup bangunan. Salah satu solusi tersebutadalah menggunakan teknologi informasi dan komunikasi berbasis IoT. Internet of Things (IoT) adalah paradigma yang membayangkan untuk menghubungkan objek sehari-hari dan mengintegrasikannya ke internet menggunakan mikrokontroler, transceiver, dan tumpukan protokol. Berangkat dari fakta tersebut, penelitian ini dilakukan dengan tujuanmengidentifikasi aplikasi teknologi IoT pada setiap fase siklus hidup bangunan yang sudah diterapkan, mengidentifikasi tingkat penerapan IoT, dan pemahaman stakeholder terhadap manfaat IoT itu sendiri. Metode penelitian yang digunakan untuk mecapai tujuan adalah validasipakar, survei wawancara, dan survei kuesioner kepada stakeholder. Hasil dari penelitian ini menunjukkan terdapat dua belas jenis perangkat IoT berbeda yang relevan penggunaannya beserta tingkat penerapannya saat ini. Selain itu, penerapan IoT memiliki tingkatan sedang padasaat ini dan rata-rata stakeholder telah memahami manfaat dari penerapan IoT pada proyekkonstruksi

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In line with the fourth industrial revolution and technological innovation, the

construction process has become more complex due to increased innovation in building

designs, structures and construction methods worldwide (F. S. Ibrahim et al., 2021). One of

the best solutions to common construction management problems is to leverage the use of

technology at every phase of the building life cycle. One such solution is to use IoT-based

information and communication technology. The Internet of Things (IoT) is a paradigm that

envisions connecting everyday objects and integrating them into the internet using

microcontrollers, transceivers, and protocol stacks (Benhamaid et al., 2022). Departing from

these facts, this research was conducted with the aim of identifying IoT technology

applications in each phase of the building life cycle that has been implemented, identifying

the level of IoT implementation, and stakeholder’s understanding of the benefits of IoT itself.

The research method used to achieve the goal is expert validation, interview surveys, and

survey questionnaires to stakeholders. The results of this study indicate that there are twelve

different types of IoT devices that are relevant to their use at the current level of application.

In addition, the implementation of IoT has a moderate level at present and the average

stakeholder has understood the benefits of implementing IoT in construction projects."

"Dalam situasi bencana dimana banyak korban terdampak memerlukan bantuan, bantuan yang cepat menjadi tujuan utama, namun tujuan ini terkadang tak diikuti dengan sistem pencatatan yang sempurna. Penelitian ini bertujuan menghasilkan proses manajemen persediaan logistik bencana dan distribusinya pada response time yang singkat serta menghasilkan proses distribusi bantuan bencana yang cepat dengan menerapkan Internet of Things (IoT). Dengan menggunakan metode rekayasan proses bisnis (BPR) dan penerapan IoT pada suatu badan penanggulangan bencana, didapat peningkatan efisiensi waktu sebesar 44,92% dimana yang sebelum-nya memakan waktu 64,34 jam menjadi 35,44 jam.

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Many affected victims need rapid assistance in a disaster situation, but this goal sometimes not followed by a perfect recording system on their logistic inventory management. This study aims to obtain disaster logistics inventory management processes and their distribution in short response time and produce a rapid disaster relief distribution process by implementing the Internet of Things (IoT). Business Process Reengineering (BPR) method and IoT implementation are used for disaster management agencies. The proposed model resulted in an increase in logistic relief distribution time efficiency to 44.92%, which previously took 64.34 hours to 35.44 hours."

"AEC (Asean Economic Community) 2015 menimbulkan beberapa tantangan dalam industri logistik. Oleh karenanya diperlukan peranan dan penerapan layanan IoT (Internet of Things) untuk meningkatkan daya saing, yaitu berupa implementasi layanan smart logistic transport. Tesis ini mengusulkan model implementasi smart logistic transport di Indonesia yang berfokus pada sistem cold supply chain.Tesis ini bertujuan melakukan analisis ekonomi teknik dalam bentuk analisis komparatif layanan smart logistic transport terkait pemilihan teknologi jaringan 2G/3G/4G dan fitur MDVR yang dibedakan menjadi Skenario 1-2-3. Sedangkan pengembangan model implementasi didapatkan setelah melakukan wawancara dengan application customers,technological vendors,regulator & network provider.Berdasarkan trial implementasi smart logistic transport bulan September-Oktober 2015 dengan analisis ekonomi teknik, didapatkan layanan not feasible hanya pada skenario 3 untuk unit "CD6", di jaringan 4G. Hal ini terkait masih mahal dan belum banyak tersedianya modul m2m gateway dan MDVR teknologi jaringan 4G. Sehingga diperlukan jumlah minimum truk "CD6" dan "Fuso" pada tiap skenario agar implementasi menjadi feasible. Untuk model implementasi layanan terdiri atas 11 fitur, yaitu 2 fitur basic dan 9 fitur ad.

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Asean Economic Community 2015 has been creating more challenges in logistics industries in Indonesia. The implementation of IoT in logistic services is needed for increasing competitiveness leading to the establishment of so-called "smart logistic transport". We propose the implementation model of the Indonesian Smart Logistic Transport, by focusing on cold supply chain system.

We have conducted an engineering economic analysis of the smart logistics transport, in relation with the mobile network platform of 2G, 3G, 4G. Development of the implementation model is completed by conducting in-depth interviews with the application customers, technological vendors, regulator and network provider. Based on implementation trial in September-October 2015 and engineering economic analysis, we have found that Smart Logistic Transport is not feasible only on scenario 3 for "CD6" at 4G network. Such condition is caused by the expensive price of 4G’s M2M gateway module and MDVR.

Therefore, it requires the minimum amount of implemented truck to make implementation feasible. Our proposed model has signified 11 features, i.e. 2 basic feature and 9 advanced features, formulating the Indonesian smart logistics transport system. Due to the dynamic business process, customers may need specific advanced features in the future. By taking such opportunity, Indonesian local content developer can work to develop any relevant application features, which is needed by the logistic companies in the near future."

"Supermarket adalah tempat yang sering menjadi pilihan untuk orang berbelanja. Hampir semua supermarket masih menggunakan keranjang belanja (shopping basket). Proses belanja banyak memakan waktu. Oleh karena itu dibutuhkan suatu perangkat pada smart shopping basket berbasis Internet of Things (IoT) agar kegiatan beberlanja lebih efektif dan efisien. Skripsi ini telah melakukan percobaan ekspreimental untuk sistem Edge Computing pada Smart Shopping Basket sebagai Alternatif Sistem Cloud Computing Internet of Things untuk membantu pembeli dalam kegiatan berbelanja menjadi lebih cepat. Sistem terdiri dari perangkat keras Raspberry Pi dan webcam dan perangkat lunak Python, TFLite, OpenCV dan Google Cloud Vision API untuk mendeteksi objek belanja dan mengukur berapa lama objek dideteksi. Hasil deteksi objek tersebut dikalkulasi dan dikirimkan ke end-user dengan bentuk struk hasil belanja melalui aplikasi Telegram.Penulis telah melakukan uji coba perangkat dengan 2 skenario utama yaitu Skenario #1 “Edge Computing” dan #2 “Cloud Computing”. Uji coba dilakukan dengan menggeser perangkat sejauh 0.3 meter sebanyak 10 kali dari titik acuan berupa router dengan 2 jenis propagasi yaitu Line of Sight dan Non-Line of Sight. Penulis juga memberi beberapa variabel tambahan untuk mengukur beberapa faktor yang mungkin mempengaruhi performa waktu perangkat. Varibel itu berupa resolusi gambar (480p dan 720p) dan banyak objek yang dideteksi (2 Objek dan 4 Objek). Berdasarkan uji coba skenario di atas, didapatkan waktu rata-rata total sebesar 1.75 detik untuk Skenario #1 “Edge Computing” dan 8.24 detik untuk Skenario #2 “Cloud Computing”.

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Supermarket is a place that is often the choice to fulfill their basic needs. Almost all supermarkets still use shopping basket. The shopping process takes a lot of time. Therefore, we need a device on the Internet of Things (IoT) -based smart shopping basket so that shopping activities are more effective and efficient. This thesis has conducted experimental experiments for the Edge Computing system on Smart Shopping Basket as an Alternative Cloud of Computing Internet of Things System to help shoppers shop faster. The system consists of Raspberry Pi hardware and webcam and Python, TFLite, OpenCV, and Google Cloud Vision API software to detect shopping objects and measure how long they are detected. The object detection results are calculated and sent to end-users in the form of shopping receipts through the Telegram application.

The author has tested the device with 2 main scenarios namely Scenario # 1 "Edge Computing" and # 2 "Cloud Computing". The trial was carried out by shifting the device as far as 0.3 meters 10 times from the reference point in the form of a router with 2 types of propagation namely Line of Sight and Non-Line of Sight. The author also provides several additional variables to measure several factors that might affect the device's time performance. The variable is in the form of image resolution (480p and 720p) and many objects are detected (2 Objects and 4 Objects). Based on the above scenario test, a total average time of 1.75 seconds is obtained for Scenario # 1 "Edge Computing" and 8.24 seconds for Scenario # 2 "Cloud Computing"."