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All Journal ILKOM Jurnal Ilmiah Internet of Things and Artificial Intelligence Journal

Adi, Puput Dani Prasetyo

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Author-ID : 2368620

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Articles

Telegram bot-based Flood Early Warning System with WSN Integration Wahid, Abdul; Parenreng, Jumadi Mabe; Kusnandar, Welly Chandra Kusumah; Adi, Puput Dani Prasetyo; Mahabror, Dendy; Sariningrum, Ros
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.1699.151-160

Indonesia experiences frequent flooding, with data from the National Disaster Management Agency (BNPB) revealing that floods account for 41% of all natural disasters (1,441 incidents) recorded in 2021. These floods cause significant property damage and casualties. To address this challenge, we have developed a prototype flood early warning system. This system utilizes ultrasonic sensors for real-time water level detection. Sensor data is transmitted to designated personnel through a website interface. Additionally, the system leverages a Telegram bot to deliver flood early warnings directly to the community residing in flood-prone areas. The sensor data comparison test yielded an error rate of only 0.6175% with an average difference of 1 cm, demonstrating the system's accuracy and functionality. Furthermore, a notification test conducted ten times achieved 100% accuracy. The Telegram bot successfully sent text message alerts (alert 1, alert 2, alert 3) with an average delivery time of 4.07 seconds. This prototype offers a promising solution for flood mitigation. By providing real-time water level data and issuing timely alerts via a user-friendly Telegram bot, the system empowers communities to prepare for potential flooding and minimize associated risks.

LoRaWAN-Based Communication for Autonomous Vehicles: Performance and Development Saharuna, Saharuna; Adiprabowo, Tjahjo; Yassir, Muhammad; Nurdiana, Dian; Adi, Puput Dani Prasetyo; Kitagawa, Akio; Satyawan, Arief Suryadi
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2311.236-254

Automotive technology in the future continues to develop with a variety of sophistication, especially in vehicles that can move on their own, this research is new from previous developments, intelligent vehicles can be seen from various system developments ranging from the ability to find parking positions, have the right navigation system, and are equipped with various artificial senses such as LiDAR, Smart Camera, Artificial Intelligence, and various components for telecommunications. A small part that will be discussed in this research is in terms of data communication. The development of intelligent vehicles in a broader scope can be included in one of the categories to build a Smart City. In the analysis system, this research develops in terms of analyzing the possibility of data collisions or how to avoid them, with various methods that can be developed and approached comprehensively using LoRaWAN, so that a method can be determined using LoRaWAN Communication and LoRa Modules that can have an important impact in the development of intelligent vehicles or autonomous vehicles for Smart City. In this paper, the LoRa data transmission approach is to use the GPS Module, the GPS Module data is sent from each car to the nearest LoRaWAN Gateway, the car can automatically select the nearest Gateway for data optimization, reducing Packet Loss and Signal Attenuation due to LoRa data communication in the NLOS area, This article still uses data transmission simulation using MATLAB and is planned to be applied to Smart vehicles directly, the contribution of this research is the discovery of a new method in terms of LoRaWAN-based multi-point data transmission that can avoid data collisions from the position of intelligent vehicles in Mobile or moving, in building Smart City technology in the future.

Performance Analysis of LoRaWAN Communication Utilizing the RFM96 Module Yassir, Muhammad; Soepandi, Harry; Hanani, Ajib; Prakasa, Johan Ericka Wahyu; Puspitadewi, Ganis Chandra; Wibowo, Sastya Hendri; Adi, Puput Dani Prasetyo; Kitagawa, Akio
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2326.255-270

This research discusses the utilization of LoRa and LoRaWAN or Low Power Wide Area (LPWA) and Low Power Wide Area Network (LPWAN). In this study, the application server is utilized using Telkom IoT. In its utilization, Telkom IoT can provide comprehensive results regarding LoRa quality of service capabilities such as bit rate, latency, and longitude and latitude data. Terrestrial measurements conduct tests in different areas with different conditions that cause different data obstruction, with several LoRa end-node points transmitting data with low bit-rate. For example, heart rate data. Some other parameters are the spreading factor (SF) and power consumption. Some parameters that determine the quality of transmitting data include the Spreading Factor and the Bandwidth used. From the analysis dan Experiment results, the Delay (ms) generated from measurements using RFM96 LoRa for IoT is around 0.02 seconds or 20 ms to around 0.05 seconds or 50 ms, and sometimes it can reach 0.07 ms to 0.09 ms. RSSI and SNR show the quality of the signal obtained which will provide a Quality of Service (QoS) value. From the measurement results using Telkom IoT in several times of data collection and testing, the average RSSI (-dBm) is at -110 dBm to -115 dBm. While SNR is at -10 dB to -16 dB.

Analysis of Data Communication on gunshot wound for Fast Fighting Engineering Exercises LoRa 1278 based Yulianto, I Putu Eka; adi, Puput Dani Prasetyo; Kuncoro, Eko
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

To assist soldiers in training agility and accuracy, a technology is needed for movement and targets, many factors need to be considered, such as field conditions, target movement and personnel movement towards the technology used, understanding of shooting theory and the physical and psychological conditions of the personnel themselves. To realize this application, the writer uses communication to move the gunshot wound to be tested using a long-range radio nRF24l01 which functions to send and receive data between the sensor and the gunshot wound, and Lora 1278 is used to transmit data obtained from the detection of microwave radar sensors processed by Arduino which is then sent to the receiver on a gunshot wound. Parameters consisting of throughput, delay, packet loss, RSSI, and SNR greatly affect the quality of data transmission, and from testing the best data quality can be obtained at a distance of 50 meters. Based on the test data for the distance of 80 m, 70 m, and 50 m, the greatest delay value was obtained at a distance of 80 m at 0.143 s, with packet loss of 0.75%.

A ZigBee Test Performance with DHT11 Temperature sensor adi, Puput Dani Prasetyo
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

This study aims to examine the ability and Performance or Quality of Services of the IEEE 802.15.4 or ZigBee Radio Frequency module on the sensor node ZigBee based. Furthermore, ZigBee's communication capabilities i.e., Tree, Star, and mesh networking were developed on the internet or Internet of Thing using RaspBerryPi 4 as the Internet Gateway. The sensors used e.g., Pulse sensor and temperature and Humidity Sensor. Moreover, the Spectrum Analyzer is used to measure the Radio Frequency Value (-dBm) per Channel (CH1 to CH12) on the Zigbee module (EDs and CN) communication at different distances,on the Mesh or Tree ZigBee Communication, ZR can be used, at Point to Point ZigBee, the role of ZR is neglected. Energy efficiency battery ZigBee sensor nodes need to be considered to obtain sensor nodes Long Life, moreover, RSSI (-dBm) is the key to the analysis of sensor node communication systems on different sensor node clustering, including Throughput, PacketLoss sensor data, and data analysis on Application Server.

A Soil moisture sensor based on Internet of Things LoRa adi, Puput Dani Prasetyo; siregar, Victor M.M.
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

This study discusses the Performance of Moisture soil sensor, which is useful as a sensor to detect soil moisture level used as plant nutrition. The monitoring process is carried out in real-time using internet of things technology based on LoRa or Long-Range Radio Frequency (IoT-LoRa). The application server used is Thingspeak. With this research, agricultural processes and monitoring can be carried out dynamically and efficiently. Therefore, when the soil conditions are dry or the soil moisture level is <300, it will immediately affect automatic watering by opening the valve or rotating the Servo motor. Furthermore, the watering process can be done automatically by looking at the soil conditions on potted plants or agricultural land. The position of the sensor on the ground level is not immediately removed and moved to another place, but it is always in the same condition and location, so the Adaptive Data Rate mechanism is used for the management of Power Consumption on IoT-LoRa

Drone simulation for agriculture and LoRa based approach adi, Puput Dani Prasetyo; Mustamu, Novilda Elizabeth; siregar, Victor M.M.; Sihombing, Volvo
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed.

A Performance evaluation of ESP32 Camera Face Recognition for various projects adi, Puput Dani Prasetyo; Wahyu, Yuyu
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Images Recognition and Face Recognition are a form of artificial intelligence developed on Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-time Object Detection and Images Recognition using Python language. In this research, the tool trying to be used is the ESP32 camera and his approach to several types of study, such as smart door locks. To activate this ESP32 camera, use the ATmega 328 mini Microcontroller, Arduino board, and FTDI Programmer. The thing that can be analyzed is the delay or inference time (ms) on the ESP32 camera. Face recognition technology in this research is devoted to using the ES32 camera, which is expected to be an inexpensive image recognition solution. This research using the ESP32 camera was made as easy as possible to be applied by everyone, but by not leaving the analysis side, one of which is on the time side of the camera's detection of the object in front of it, how far and fast (ms), this object can be explicitly detected. Speed is seen from the resolution specifications used for face recognition and image recognition, such as CIF and QVGA, and throughput (bytes) analysis of ESP32-Cam and Server using Wireshark.

A Review of Motion Sensors as a Home Security System and approach to the Internet of Things Project Lesmana, Yandri; Pane, Rahmadani; Hsb, Elysa Rohayani; Hakim, Lukman; Agusti, Nelly; Irmayani, Deci; adi, Puput Dani Prasetyo
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Home security is an essential factor and must be maintained; currently, the development of technology or security systems continues to be improved, one of which is Eye Retina and Artificial Intelligence. in this research, the use of Motion Sensors in Home Security, performance evaluation, and future development. In this time, more crimes occur in our environment, one of which is theft or breaking into people's homes in various areas; this problem is disturbing to residents in areas where these crimes often occur, even though so far, residents have used many methods to prevent crime, one of which is installing CCTV. However, thieves still have managed to escape the CCTV surveillance. But suppose we use a security system that can make a sound. In that case, the sound can make criminals cancel their intention to steal because the sound disturbs their concentration and can also wake the house owner or tell residents about a crime in the house. And in this article, I will describe a home security system. This system requires several supporting equipment, such as PIR, Arduino, Buzzer, and other tools.

Security Performance of LoRaWAN Servers using Advanced Encryption Standard adi, Puput Dani Prasetyo
Internet of Things and Artificial Intelligence Journal Vol. 3 No. 3 (2023): Vol. 3 No. 3 (2023): Volume 3 Issue 3, 2023 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v3i3.632

One of the essential components in LoRaWAN is managing the server with all existing components, including Device Management, Data forwarding, Network security, and real-time network monitoring. It is necessary to manage the uplink and downlink of the LoRaWAN server and maintain the quality of data transmission from the LoRa end node to the LoRaWAN server. Depending on the service provider, the LoRaWAN Server provides space for payload, uplink, and downlink data. How many times in a day, week, month, or even year? This discussion depends on the LoRaWAN server provider. Some are open sources, and some provide free uplink and downlink services. Settings on the LoRaWAN Server will determine how much data will enter the server or the network size. Security is also an essential parameter, e.g., encryption or authentication, supported by the feature requirements used on the server, which will determine the type of communication that LoRa will apply, for example, multi-communication or analysis data. Centralized management, Security, scalability, and cost-effectiveness are essential parameters if LoRaWAN is managed well.

Co-Authors Abdul Wahid Adiprabowo, Tjahjo Agusti, Nelly Ajib Hanani Ganis Chandra Puspitadewi Harry Soepandi Hsb, Elysa Rohayani Irmayani, Deci Johan Ericka Wahyu Prakasa Jumadi Mabe Parenreng Kitagawa, Akio KUNCORO, EKO Kusnandar, Welly Chandra Kusumah Lesmana, Yandri Lukman Hakim Mahabror, Dendy Muhammad Yassir Mustamu, Novilda Elizabeth Nurdiana, Dian Pane, Rahmadani Saharuna, Saharuna Sariningrum, Ros Sastya Hendri Wibowo Satyawan, Arief Suryadi Sihombing, Volvo siregar, Victor M.M. Yulianto, I Putu Eka Yuyu Wahyu

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