This paper aims to characterize the profile of the prospective IoT market in Indonesia. The primary data were collected in July 2018 through a comprehensive survey that sampled respondents representing the whole Indonesian population. The questionnaire was developed by extracting the 4 (four) main issues regarding which the potential users of the IoT technology may have concerns, i.e., willingness to use the IoT services, concerns related to rejection and worries about the IoT, the characteristics of the IoT hardware, and perceptions about the role of the IoT within the existing system. The results of the survey were analyzed to capture the profile of the prospective IoT market, and the strategic implications of the findings were considered. Several interesting results were found, ranging from answering the common question of what kinds of the IoT services are most anticipated to answering the delicate question of how the Indonesian people perceive the disruptive force that the IoT technology may exert. The contribution of this research is that it can be used as an initial guide or reference for regulators, the government and the IoT firms that will begin to deploy services in Indonesia.

Internet of Things is predicted to be the future of digital business in Indonesia. The trend of IoT implements on a large scale as more sensors and devices are connected. LoRa is one of the promising applications of the Internet of Things with long-range wireless communication in broad areas. LoRa network deployment in Advanced Metering Infrastructure (AMI) is one of the most significant components in smart metering which measure and collect data from smart meters to be analyzed utilities distribution and consumption. In the IoT, the scenario must achieve two main goals: efficient communication like massive connectivity and defense against environmental conditions. In this paper, we propose the LoRa for Advanced Metering Infrastructure in three utilities (electric, gas, and water meter) to implement in urban, suburban, and rural areas in case of Medan and surroundings by calculating capacity and coverage planning to find out the optimum number of LoRa gateways. Use the method of forecasting IoT connected devices then predict the amount of LoRa gateways need with two scenarios. The first scenario requires the capacity planning by volume demand of the customer's supply of the system. Meanwhile, the second scenario needs coverage planning mostly depends on the link budget and geographical. The simulation results in Forsk Atoll 3.3.2 indicate that the whole determined areas can serve by the number of gateways that have to obtain within acceptable the mean of best signal levels is –76,28 dBm, –75,7 dBm, –81,67 dBm for the urban, suburban and rural scenario, respectively.

This paper plans a LoRaWAN network for smart meters in Karawang Industrial Estate, Indonesia's largest industrial estate. To measure and recognize electricity use in a place immediately, we use a tool called a smart meter, which is part of the Internet of Things (IoT), to provide control and optimization of electricity. Smart meters will operate using LoRaWAN network connectivity as a LoRaWAN communication protocol that supports IoT use at a frequency of 920-923 MHz using coverage planning and capacity planning using Forsk Atoll 3.3.2 simulation software. The parameters used in this study are Spreading Factor (SF) 7, Code Rate (CR) 4/5, Bandwidth 125 kHz, Signal to Noise Ratio (SNR), and Reference Signal Received Power (RSRP). We use them to obtain the number of gateways needed to optimize the scope of gateways for sending electricity monitoring data to Karawang Industrial Estate and knowing the value generated from the parameters above. The simulation of LoRaWAN planning resulted in RSRP with a mean of-77.94 dBm and a standard deviation of 8.27 dBm. The SNR result has a mean of 13.14 dB with a standard deviation of 9.68 dB. The last parameter is that throughput ranges of 4-6 kbps with a mean of 5.47 kbps. The result of this planning produces RSRP, SNR, and Throughput parameter values in good condition to be applied to the application of smart metering in Karawang Industrial Estate.

Optimization of energy usage is essential to minimize the waste of energy usage. Smart Metering is a solution to resolve this problem. It can measure, collect, analyze energy distribution and its consumption, and communicate with metering devices on schedule and on-demand, i.e., for electricity, water, and gas services. However, selecting the right Internet of Things (IoT) network connectivity to deploy Smart Metering services is still the main challenge, especially for the dense urban setting. LoRaWAN is one of the most popular Low Power Wide Area technologies consider as a suitable IoT network connectivity for Smart Metering because LoRaWAN has a long battery life, using unlicensed frequency and low cost of deployment. In this research, the LoRaWAN IoT network planning to deliver Smart Metering services was conducted in Jakarta City, as representative of the dense urban setting. The network planning methods are using capacity and coverage analysis as well as radio network planning simulation. It is found that to deploy Smart Metering services in the Jakarta City area, at least 23 gateways are required with Spreading Factor (SF) values of 7, Code Rate (CR) of 1/2/3/4, and can serve at the level of receiver sensitivity > -129dBm. An average received signal level of -78.84 dBm with an average of throughput distribution of 21.69 kbps were obtained based on coverage prediction simulation. Meanwhile the Signal to Noise Ratio (SNR) simulation generated the highest SNR is 30 dB, and the lowest SNR is -20dB resulting in the average SNR level of the entire region is about -1.05dB.

The quick advancement of technology has increased commercial rivalry in telecommunications, compelling broad-band network operators to be more effective in assembling Capital Expenditure (CAPEX) and Operational Expenditures (OPEX) requirements to avoid the scissor effect. The arrival of 5G Fixed Wireless Access (FWA) eliminates costly network connections. FWA enables network operators to offer ultra-high-speed internet support in residential areas where fiber is expensive to construct and maintain. The objective of this research is to determine the required number of gNodeB for capacity and coverage planning by using two different 5G frequencies, 3.5 GHz mid-band and 28 GHz mmWave, along with CAPEX and OPEX calculations in deploying 5G FWA at one of the urban residential areas in Indonesia, Citra Raya Cikupa. This research analyzes the area’s classification, forecasts the number of households from 2021 to 2026, and traffics usage to achieve an optimum number of gNodeB. This research then calculates the CAPEX and OPEX. The results show that Citra Raya Cikupa’s generated a traffic demand of 12.73 Gbps/km ² with an area of 27.6 km ² . Furthermore, using the 3.5 GHz mid-band frequency, Citra Raya Cikupa demands 67 gNodeB with a CAPEX of USD 7,221,595 and an OPEX of USD 3,169,368. While using the 28 GHz mmWave frequency, Citra Raya Cikupa needs 107 gNodeB with a CAPEX of USD 2,309,488 and an OPEX of USD 1,183,848.

The application of the Internet of Things (IoT) is increasing rapidly in Indonesia because it has the potential to be used for various business purposes. One of the most popular use cases of IoT is for the measurement of electricity, water, gas, and fuel distributions, also known as Advanced Metering Infrastructure (AMI). This paper aims to plan the LoRaWAN technology-based IoT network for AMI services in one of the major cities in Indonesia - Surabaya and surrounding towns because it has very high market potential and many industrial areas. AMI is an integrated system that allows communication between customers and utilities with the control that can be done remotely, so the role of connectivity is essential to guarantee the AMI service system. From the coverage and capacity analysis, it concludes that the optimal gateway requirements for each region were eight gateways for Surabaya with Spreading Factor (SF) values of 9, ten gateways for Sidoarjo City with SF values of 11, and 13 gateways for Gresik City with an SF value of 12. From the simulations carried out, it can conclude that for the Surabaya can be served at the level of receiver sensitivity > -129 dBm, Sidoarjo with a level of receiver sensitivity > -134.5 dBm, while for the Gresik region is > -137 dBm. The amount of the receiver sensitivity level mostly influences by the value of the SF while the best average signal level is -80.67 dBm, -83.10 dBm, and -83.52 dBm for the Surabaya, Sidoarjo and Gresik regions. For the average value of throughput distribution is 21.85 kbps for the city of Surabaya, 21.56 kbps for the city of Sidoarjo, and 20.7 kbps in the city of Gresik. For SNR values, the average value of Signal to Noise Ratio (SNR) is -0.2 dB for Surabaya, -4.34 dB for Sidoarjo, and -6.84 dB for Gresik.