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Saat ini, industri manufaktur memiliki tantangan untuk dapat mengelola rantai produksi dengan tanggap dan cepat. Dengan latar belakang tersebut, muncul ide untuk memenuhi kebutuhan industri manufaktur dengan menggunakan teknologi Internet of Things (IoT). Penelitian ini bertujuan untuk menginvestigasi faktor-faktor penentu yang memengaruhi keputusan adopsi teknologi Internet of Things pada salah satu industri agrobisnis di Indonesia yaitu PT. XYZ. Model penelitian ini dibangun dengan menggabungkan dua teori adopsi teknologi informasi yaitu technology-organization-environment (TOE) dan human-organization-technology (HOT-fit). Model penelitian ini terdiri empat kriteria utama dalam penelitian ini yaitu kriteria manusia, teknologi, organisasi, dan lingkungan dengan 20 faktor tersebar di masing-masing kriteria. Pengumpulan data dilakukan dengan menggunakan kuesioner yang diberikan kepada 12 pengambil keputusan PT. XYZ. Pengolahan data menggunakan pemodelan Decision Making Trial and Evaluation and Laboratory (DEMATEL). Kesimpulan yang diperoleh dari penelitian ini adalah kriteria manusia merupakan kriteria paling penting jika dibandingkan dengan kriteria utama lainnya. Dari kriteria manusia, faktor sikap inovasi para pemimpin dan kemampuan teknikal staf TI merupakan faktor paling penting jika dibandingkan dengan faktor-faktor lainnya. Dari kriteria teknologi, faktor infrastruktur SI/TI dan keamanan dan privasi data merupakan faktor paling penting jika dibandingkan dengan faktor-faktor lainnya. Dari kriteria organisasi, faktor dukungan manajemen puncak dan biaya adopsi teknologi yang dirasakan merupakan faktor paling penting jika dibandingkan dengan faktor-faktor lainnya. Dari kriteria lingkungan, faktor tekanan mimetik yang dirasakan dan tekanan koersif yang dirasakan merupakan faktor paling penting jika dibandingkan dengan faktor-faktor lainnya.

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Recently, manufacturing industry has been challenged of being able to manage the production chain responsively and rapidly. With this background, the idea emerged to meet the needs of manufacturing industry by using Internet of Thing (IoT) technology. The purpose of this study is to investigate the determinant factors that influence decision to adopt Internet of Things technology in one of Agribusiness Industries in Indonesia, namely PT. XYZ. This research model was built by integrating two information technology adoption theories, technology-organization-environment (TOE) and human-organization-technology (HOT-fit). This reseach model consists of four main criteria which are human, technology, organization, and environment with 20 factors spread over each criteria. Data were collected by using a questionnaire given to 12 decision makers at PT. XYZ and analyzed using Decision Making Trial and Evaluation Laboratory (DEMATEL). The concusion obtained in this study is that human and technology criteria are the most important criteria when compared to other main criteria. From human criteria, the champions innovativeness and technical skills of IT staff is the most importnant factor when compared with other factors. From the technology criteria, the IS/IT infrastructure and data security and privacy are the most important factors when compared to other factors. From organization criteria, top management support and perceived of cost technology adoption are the most important factors when compared with other factors. From environment criteria, the perceived of mimetic pressure dan perceived coercive pressure are the most important factors when compared to other factors.

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"This book documents some of the most recent advances on the physical layer of the Internet of Things (IoT), including sensors, circuits, and systems. The application area selected for illustrating these advances is that of autonomous, wearable systems for real-time medical diagnosis. The book is unique in that it adopts a holistic view of such systems and includes not only the sensor and processing subsystems, but also the power, communication, and security subsystems. Particular attention is paid to the integration of these IoT subsystems as well as the prototyping platforms needed for achieving such integration. Other unique features include the discussion of energy-harvesting subsystems to achieve full energy autonomy and the consideration of hardware security as a requirement for the integrity of the IoT physical layer. One unifying thread of the various designs considered in this book is that they have all been fabricated and tested in an advanced, low-power CMOS process, namely GLOBALFOUNDRIES 65nm CMOS LPe."

"ABSTRAKPenerapan Internet of Things (IoT) diproyeksikan akan memberikan nilai ekonomis yang besar pada bidang-bidang bisnis. Namun, berdasarkan penelitian Harvard Business Review, pertumbuhan penerapan IoT masih relatif kecil. Salah satu penyebabnya adalah belum jelasnya manfaat implentasi IoT terhadap bisnis. Internet of Things dapat diterapkan dalam berbagai bidang bisnis. Salah satu bidang yang diprediksi akan mereguk manfaat dari penerapan IoT adalah bidang kendaraan atau otomotif. Penerapan IoT pada kendaraan memerlukan alat khusus yaitu OBD-II reader yang terhubung dengan internet. Salah satu bidang usaha yang mengoperasikan armada dalam jumlah besar adalah perusahan logistik.Penelitian ini bertujuan untuk menyusun manfaat terhadap bisnis dari penerapan OBD-II sebagai perangkat IoT, secara khusus pada perusahaan logistik. Penyusunan manfaat bisnis dilakukan menggunakan metodologi Value Proposition Design. Data primer yang digunakan dalam penelitian dikumpulkan dari Systematic Literature Review dan wawancara langsung. Data sekunder dikumpulkan dari studi terhadap dokumen perusahaan dan studi literatur terhadap penelitian yang relevan.Hasil penelitian ini diharapkan dapat menjadi justifikasi awal bahwa OBD-II sebagai perangkat IoT mampu memberikan manfaat terhadap bisnis. Dengan kata lain, mampu membuka peluang bisnis penggunaan OBD-II sebagai perangkat IoT, khususnya pada perusahaan logistik.

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ABSTRACTThe implementation of Internet of Things (IoT) was predicted to give enormous economic value to businesses. However, according to the research held by Harvard Business Review, the growth of IoT implementation is relatively small. One of the reasons is the benefit of IoT implementation for businesses is still unclear. One of the area which has been predicted to gain much benefits from IoT implementation is automotive. Implementation of IoT in a vehicle needs a specific device (i.e: OBD-II reader) which able to connect to internet. One of business fields which operate big numbers of vehicle is logistic company.This research aimed to compile the benefits of OBD-II implementation as an IoT device to business, specifically for logistic company. The benefits were compiled using Value Proposition Design methodology. Primary data for this research was gathered from Systematic Literature Review and interview. Secondary data was gathered from study to company documents and literature review to relevant research.The output of this research is expected to be a justification that OBD-II as an IoT device can give benefit to business. In other words, it can create a new business opportunity of using OBD-II as an IoT devices, specifically for logistic company."

"The transformational technologies of the Internet-Web compound continue to exert a vast and readily apparent influence on the way we live and work. In recent times, internet penetration is now very high in most parts of the world, impacting the context and content of the workplace and the boundary between work and private life is even more porous. Not only has the reach increased, but the technologies to access the Internet-Web have further evolved towards increasing portability. The hardware evolution from desktops to laptops to mobile technologies (phones, tablets, watches, eyeglasses) marches forward. The increasing mobility and 24/7 accessibility offers the opportune time to revisit the transformations occurring.Today the Internet consists of billions of digital devices, people, services and other physical objects with the potential to seamlessly connect, interact and exchange information about themselves and their environment. Organizations now use these digital devices and physical objects to produce and consume Internet-based services. This new Internet ecosystem is commonly referred to as the Internet of People, Things and Services (IoPTS). In this follow-up to their 2006 volume, Simmers & Anandarajan examine how The Internet of People, Things and Services (IoPTS) transforms our workplaces.Information and communications technology (ICT) expansion from desktops to laptops to ubiquitous smart objects that sense and communicate directly over the internet – the IoPTS - offers us the opportune time to revisit how the Internet transforms our workplaces."

"Industri Tekstil dan Pakaian Tekstil (TPT) Indonesia memiliki angka pertumbuhan yang fluktuatif dalam tiga tahun terakhir dan berpeluang besar mengalami peningkatan permintaan pada tahun 2021. Jumlah permintaan harus berbanding lurus dengan pemberian kualitas yang baik dengan memperhatikan faktor kualitas udara, diantaranya adalah suhu udara, kelembapan udara, dan kadar debu. Suhu dan kelembapan udara yang tinggi dapat mengakibatkan pertumbuhan jamur atau bakteri pada pakaian, sedangkan kadar debu yang tinggi dapat membuat warna pakaian pudar. Ketiga hal tersebut dapat dipantau dengan membuat sistem IoT yang menggabungkan sensor DHT22 untuk mengukur suhu dan kelembapan udara, serta GP2Y1010AU0F untuk mengukur kadar debu dan menggunakan mikrokontrolerer ESP8266 NodeMCU. Pada skripsi ini didapatkan hasil sistem yang bekerja baik dengan parameter suhu dan kelembapan udara yang sesuai dengan rata-rata masing-masing sebesar 25.08 ̊C dan 52.36% RH karena terdapat pengaturan manual pada AC dan dehumidifier. Namun, kadar debu belum sesuai < 0.025 mg/m dan tetap sebesar 0.49 mg/m karena tidak terdapat pengaturan manual pada air purifier. Penambahan fungsi RFID untuk melakukan proses pendataan inventaris pakaian juga bekerja dengan baik dan keseluruhan data sistem disimpan di dalam database MySQL lalu ditampilkan melalui dashboard website dengan alamat www.dashboard.wardrobe-purifier.net.

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Textile and Apparel Textil Industry (TPT) in Indonesia has had a fluctuative growth rate for the last three years and has a high chance of increasing demand in 2021. The number of demand must be as well as providing a good quality by taking a good care with paying attention to the air quality factors that can affect the quality of clothes when it’s stored, including air temperature, humidity, and dust levels. High temperature and humidity can cause mold or bacteria to grow on clothes, meanwhile, high level of dust can make the color on clothes gets faded. These three air quality factors can be monitored by designing an IoT system that combines a DHT22 sensor to monitor air temperature and humidity, also a GP2Y1010AU0F sensor to monitor dust levels and using ESP8266 NodeMCU as the microcontroller. In this research, the result of the system for the temperature and humidity have achieved the requirement of ideal air quality with an average of 25.08˚C and 52.36% RH, respectively. This is due to manual control to the air conditioner and dehumidifier. However, the dust level has not achieved < 0.025 mg/m³, which is still 0.49 mg/m³ because there is no manual control to the air purifier. The addition of the RFID function to process the clothing inventory data also works well and the entire system data is stored in a MySQL database and then it’s displayed through the website dashboard with the website address www.dashboard.wardrobe-purifier.net."

"This book provides a comprehensive review of China’s Internet development in the past 23 years since the country’s first access to the Internet, especially since the 18th National Congress of the Communist Party of China. It offers a systematic account of China’s experience in Internet development and governance, and establishes and presents China’s Internet Development Index System, covering network infrastructure, information technology, digital economy, e-governance, cyber security, and international cyberspace governance."

"ABSTRACTRevolusi industri menuju industri 4.0 membawa dampak pada berbagai sektor industri di dunia, salah satunya adalah sektor logistik. Sektor logistik di Indonesia sendiri memiliki permasalahan akan besarnya biaya logistik yang dikeluarkan, terutama oleh aktivitas transportasinya. Salah satu solusi yang dapat dilakukan adalah dengan memanfaatkan perkembangan TIK, seperti yang terdapat pada Cetak Biru Perkembangan Sistem Logistik Nasional. Perkembangan Internet of Things IoT sebagai bagian dari Industri 4.0 dapat menjadi solusi dalam permasalahan logistik transportasi ini. Tujuan dari penelitian ini adalah menemukan rancangan strategi untuk implementasi IoT pada sektor logistik transportasi di Indonesia berdasarkan key success factors KSF -nya. Penelitian akan terbagi dua menjadi pemilihan dan pembobotan KSF, dan perancangan strategi. Pada tahap pemilihan dan pembobotan KSF, dengan menggunakan metode Analytic Network Process ANP maka didapatkan delapan butir KSF utama yang paling mempengaruhi implementasi IoT pada sektor logistik transportasi. Pada tahap perancangan strategi, dapat dihasilkan berbagai strategi yang kemudian dirancang diagram implementasinya dengan menggunakan metode Interpretive Structural Modeling ISM . Hasil penelitian ini adalah ditemukannya delapan butir KSF utama yaitu perubahan business mindset; komitmen karyawan; kualitas kinerja saat bekerja; training untuk pengembangan karyawan; kompetisi; keterlibatan top management; on-time delivery; dan kejelasan standar referensi arsitektur komponen penyusun sistem IoT, serta ditemukannya diagram strategi implementasi IoT pada sektor logistik transportasi yang berisi delapan strategi di antaranya menetapkan change management; melakukan pelatihan; manajemen sumber daya manusia; membangun kerja sama dengan partner; melakukan penjagaan dan continuous improvement terhadap sistem perusahaan; membentuk sistem pengawasan; membentuk fail-proof system; dan merancang desain sistem integrasi yang terstandar.

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ABSTRACTIndustrial revolution towards industry 4.0 has been going around and affecting various sector globally, one of them is logistics sector. On the other hand, logistics sector in Indonesia has their problem, which is the large sum of cost that must be allocated to logistics activities, mainly in transportation activities. A solution for this problem is by using the development of ICT, as said in the Blueprint of Development of National Logistics System. Internet of Things IoT as part of industry 4.0 is one of the option. The main purpose of this study is to find a design of implementation strategy for IoT on logistic transportation sector in Indonesia, based on its Key Success Factors KSF . This study is divided into two, identificating and prioritizing KSF by using Analytic Network Process ANP method, and designing the strategy. In the identificating and prioritizing KSF stage, the result is indicating that there are eight main KSFs which affecting the implementation of IoT in logistics transportation sector the most. In the designing strategy phase, the eight main KSFs could be used to generate various strategies which then be designed into a structural strategy implementation diagram by using Interpretive Structural Modeling ISM method. The results of this study are the finding of eight main KSFs which are change in business mindset employees rsquo commitment performance rsquo s quality at work training for employees rsquo development competition the involvement of top management on time delivery and clear standard on architecture reference for components of the IoT system, and also the discovery of implementation strategy diagram for IoT in logistics transportation sector that consists of eight main strategies which are change management training human resources management building cooperative relationship with partner maintaining and continually improving the company rsquo s system establish a monitoring system forming a fail proof system and design a standardized integration system."

"Dimasa Mendatang, diprediksi akan banyak perangkat yang terhubung pada jaringan komunikasi, selain itu jaringan komunikasi masa depan juga membutuhkan nilai packet loss rate (PLR) yang rendah serta sistem pemrosesan yang sangat cepat. Pada penelitian ini diusulkan sebuah skema akses jamak atau multiple access yang mampu melayani lalulintas komunikasi dengan jumlah perangkat yang sangat banyak  serta nilai PLR yang kecil. Skema akses jamak berupa coded random access (CRA) dipilih dalam penelitian ini karena mampu melayani lalulintas komunikasi dengan jumlah perangkat yang terhubung sangat banyak (throughput yang tinggi. Untuk mendapatkan PLR yang rendah pada CRA, digunakan degree distribusi  yang menghasilkan stopping set sedikit. Sehingga pada penelitian ini dilakukan optimasi pada CRA dengan mencari degree distribusi yang menghasilkan stopping set paling rendah pada throughput yang masih dapat diterima. Optimasi dilakukan dengan menggunakan theory probability stopping set dan simulasi komputer. Untuk memvalidasi ketercapaian throughput, pada penelitian ini dilakukan evaluasi dengan menggunakan metode Extrinsic Information transfer(EXIT) chart analisis. Dalam penelitian ini juga dilakukan validasi antara theory probability stopping set dengan hasil yang didapat dari simulasi komputer. Dari hasil validasi tersebut menunjukan theory probability stopping set sesuai dengan hasil dari simulasi komputer. Sehingga penggunaan theory probability stopping set cukup valid untuk dipakai pada optimasi degree distribusi dengan meminimalkan stopping set. Dari serangkaian penelitian yang dilakukan, didapatkan CRA dengan degree distribusi yang mempunyai stopping set paling minimal sebanyak 48 kali dalam 10.000 sample yang ditandai dengan PLR yang cukup rendah yaitu 10^-3 pada G=0.65 packet per slot (yang artinya 1 paket rusak dalam 1000 sampel dengan mode pengiriman 65% aktif dari seluruh user dan throughput yang masih dapat diterima yaitu G=0.7 packet per slot. Usulan CRA dengan degree distribution optimal dengan minimal stopping set hasil dari penelitian ini diharapkan dapat diterapkan dan bermanfaat pada komunikasi aplikasi krusial dengan nilai kegagalan mendekati nol.

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The Future networks predicted with massive number of devices connected to communication networks, beside that the future communication network also requires a low value of packet loss rate (PLR) and a very fast processing system. In this paper, a multiple access scheme is proposed which is capable of serving communication traffic with a very large number of devices and a small PLR value. Multiple access scheme such as coded random access (CRA) were in this paper, because of ability of serving communication traffic with a large number of connected devices(or we can call high throughput needed). To obtain a low PLR in CRA, we use a degree distribution which resulted in a small number of stopping set. This paper was optimized on CRA by looking for a degree distribution that produced the lowest number of stopping set at acceptable throughput. Optimization was done by using probability of stopping set theory and computer simulation. To validate the achievement of throughput, this paper was evaluated using the Extrinsic Information Transfer (EXIT) chart analysis. In this paper, we validate between probability stopping set theory and the results obtained from computer simulations, the result shows that the probability stopping set theory is in accordance with the result of computer simulations. Therefore the use of probability stopping set theory is valid to be used in degree distribution optimization by minimizing stopping sets. In this paper, it was obtained CRA with a degree distribution which has a stopping set of at least 48 times in 10000 samples which is marked by PLR which is quite low at 10-3 at offered traffic 0.65 packet per slot (which means 1 packet is damaged in 1000 samples with delivery mode 65% active of all users) and acceptable throughput in 0.7 packet per slot. The proposed CRA with optimal degree distribution having minimum stopping set results from this paper is expected to be applicable and useful in crucial application communication with asymptotically zero failure."

"ABSTRAKSkripsi ini menganalisa bagaimana range, power consumption pada Dragino LoRa Shield. Pada tahap pertama, dibuat desain embedded system LoRa yang bersangkutan menggunakan aplikasi Node-red. Pada percobaan, diukur power consumption pada berbagai jarak antara client dan server. Jarak yang diuji adalah jarak dimana konektivitas antara client dan server masih terjaga/terhubung. Aplikasi Node-Red yang digunakan untuk menyajikan hasil pengujian menunjukan bahwa konektivitas tetap terjaga hingga 1700 cm indoor, dan 1.980 km outdoor. Selain itu, melalui pengukuran yang dilakukan diketahui bahwa daya yang dikonsumsi adalah 0.103 watt untuk indoor, dan 0.103 watt untuk outdoor.

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ABSTRACTThis final project explains the implement of sensor and humidity sensor namely DHT11 on LoRa Client and LoRa Server, in using application of IoT. The implement of how to connect using range, Power Consumption with Dragino LoRa Shield. In this work, the design of embedded of LoRa system connected can be served by Node red application. The result of the measured range between LoRa Client and LoRa Server. The range which is measured, is the connectivity between client and server is still connected. Node Red application is used to present the result research which is presenting that the indoor connectivity is still exist to 1700 cm, and the outdoor reaches 1.980 km. Besides that, the result of power consumption in indoor and outdoor are 0.103 watt. "

"Perkembangan teknologi diharapkan dapat menjadi salah satu solusi untuk mengurangi tingkat kelelahan para tenaga medis ICU dengan mempermudah mereka dalam memberikan pelayanan yang lebih efektif dan efisien kepada pasien di ICU. Internet of Things (IoT) sebagai suatu tren baru dalam teknologi dapat membantu tenaga medis dalam memberikan pelayanan kesehatan. Penerapan IoT khususnya di ICU memberikan kemudahan untuk melakukan pengamatan pasien berkelanjutan, mengurangi terjadinya error, dan meningkatkan komunikasi antar tenaga medis yang lebih efisien. Penerapan IoT di ICU membutuhkan beberapa pertimbangan yang dilakukan oleh pihak rumah sakit seperti dari segi kemampuan teknologi, keamanan, kemampuan organisasi, dan lingkungan pendukung. Penelitian ini menggunakan metode ANP (Analytical Network Process) berbasis DEMATEL (Decision-Making Trial and Evaluation Laboratoy)\ untuk melihat secara lebih jelas pengaruh dan prioritas dari faktor-faktor pertimbangan penerapan Internet of Thing (IoT) di ICU pada rumah sakit di Jakarta dan Depok. Selain itu, metode COPRAS (Complex Proportional Asessment) digunakan untuk mengetahui prioritas teknologi yang dapat diterapkan. Hasil dari penelitian ini ditemukan bahwa teknologi pemantauan infus pintar berbasis IoT merupakan prioritas teknologi pertama untuk diterapkan di ICU rumah sakit di Jakarta dan Depok.

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The development of technology is expected to give a solution to reduce the level of difficulty on medical staff in the ICU by facilitating them in providing more effective and efficient services for patients in the ICU. Internet of Things (IoT) as a new trend in technology can help medical staff in providing health services. The application of IoT especially in the ICU makes it easy to conduct continuous patient observation, reduce

the occurrence of errors, and improve communication between medical staff more efficiently. The implementation of IoT in ICU requires several considerations carried out by the hospital such as in terms of technological capability, security, organizational capability, and supporting environment. This study uses DEMATEL (Decision-Making

Trial and Evaluation Laboratory) based ANP (Analytical Network Process) method to see more clearly the influence and priority of the factors considering the implementation of the Internet of Thing (IoT) in hospital ICUs at Jakarta and Depok. In addition, the COPRAS (Complex Proportional Assessment) method is used to determine technological priorities that can be applied. The results of this study found that IoTbased smart infusion monitoring technology is the first technology priority to be applied in hospital ICUs at Jakarta and Depok.

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