Nasron Nasron’s research while affiliated with Politeknik Negeri Sriwijaya and other places

Flooding is a natural disaster that most often affects Indonesia. South Sumatra is one of the areas that experienced recurrent flooding from 2023 to 2024. Monitoring of water levels at a point is often lacking, so that during high rainfall, water often overflows and causes flooding. Uncontrolled water discharge due to heavy rainfall can cause flooding and impact the local community due to lack of information. To solve this problem, machine learning technology can be used as a flood detection and early warning tool. The SVR (Support Vector Regression) algorithm is one example. This research classifies flood status into three categories: "Safe, Alert, and Danger." The flood status prediction model is built using SVR (Support Vector Regression) integrated with a flood detection device consisting of Arduino Uno, NodeMCU, and two sensors, namely an ultrasonic sensor and a rainfall sensor, which are installed above 1 metre from the ground. The test results show that this device can detect flood status based on the water level. When the distance between the water surface and the sensor is 80-100 cm and the rainfall is 0-20 mm, the status is safe, if the water distance is 50-80 cm and the rainfall is 21-30 mm, the status is alert, while if the water distance is 0-50 cm and the rainfall is 31-100 mm, the status is dangerous. The flood status detected by this tool will then be sent via the Telegram application as a notification to facilitate effective flood monitoring.

Pemantauan posisi alat transportasi merupakan hal penting dalam dunia transportasi, salah satunya pada kapal laut. Hal ini dibutuhkan untuk mengetahui posisi kapal secara akurat ketika terjadinya kemungkinan resiko kecelakaan. Teknologi Global Potisioning System (GPS) merupakan sistem satelit navigasi dan sistem penentuan posisi geografis dengan menggunakan satelit melalui 24 satelit yang mengirimkan sinyal gelombang mikro ke Bumi. Pada penelitian ini menggunakan modul GPS NEO-6M yang berfungsi sebagai penerima GPS (Global Positioning System Receiver) untuk mendeteksi lokasi dengan menangkap dan memproses sinyal dari satelit navigasi. Lokasi yang menjadi target pengujian yaitu di Sungai Musi tepatnya di Lokasi 1 daerah Musi 6 dan Lokasi 2 di daerah Benteng Kuto Besak (BKB). Berdasarkan lokasi 1 di daerah Musi 6 didapatkan Latitude sebesar -3.005045 dan Longitude sebesar 104.751624. Selanjutnya untuk pengujian kapal di lokasi 2 daerah BKB, didapatkan hasil Latitude sebesar -2.992315 dan Longitude sebesar 104.760456. Hasil yang diperoleh dari perancangan ini mampu menampilkan data informasi dari kapal berupa Maps pada aplikasi Blynk dan notifikasi akan muncul ketika tombol SOS ditekan. Sehingga dapat membantu proses evakuasi ketika terjadi kecelakaan atau hal darurat yang terjadi di kapal secara tepat dan tepat. Serta dapat meningkatkan keamanan dan rasa nyaman bagi keselamatan penumpang kapal selama menggunakan transportasi air.

Stress can be sourced from a variety of things, many negative impacts without us realizing that stress is caused by health. Therefore, a tool capable of being used to automatically measure stress levels in humans is required as a tool to monitor health. This human stress level detection tool uses a tool used to measure the level of human tension condition with three parameters, namely measuring heart rate using pulse sensor, body temperature using temperature sensor DS18B20 and skin moisture using galvanic skin response (gsr) sensor then the data will be sent, processed and processed using Arduino Uno R3 Microcontroller to process information to determine the level of stress condition of a person classified into 4 conditions namely relax , calm, anxious, and tense. Data retrieval is done for 1 minute with the measurement data results displayed on the LCD monitor scree

Motorbikes are an object that is very prone to being stolen, anticipating theft is not enough just by installing a safety lock, but it needs to be equipped with a monitoring and control system to reduce theft of motorbikes because motorbikes are generally not equipped with GPS (Global Positioning System). In this final project, a Tracking Device is designed or a tracking device that can work in IoT. IoT (Internet of Things) is a computing concept about everyday objects that are connected to the internet and are able to identify themselves to other devices. NodeMCU ESP8266 and Android Smartphones are used as control components for tracking devices. The signal or data obtained is in the form of vehicle position coordinate data which can be seen on GoogleMaps, and this tool is equipped with a relay that functions as a switch to turn on or turn off a motorbike that is stolen from a distance. The test results of this tool, the user can control the motor from a very long distance as long as the device and the user still have internet access, the user can only give one command every 15 seconds, either the command asks for the coordinates of the vehicle's position or the command to turn off the motor

Dalam mempelajari telekomunikasi mahasiswa diwajibkan untuk menguasai alat telekomunikasi yang sering digunakan di laboratorium. Mahalnya alat telekomunikasi menyebabkan mahasiswa harus bergantian dalam mengamati dan mempelajari alat telekomunikasi tersebut. Apabila mahasiswa tidak berhati-hati dalam menggunakan peralatan telekomunikasi milik laboratorium maka kemungkinan peralatan akan cepat rusak sehingga menyebabkan proses belajar mengajar menjadi terganggu. Maka di perlukan aplikasi interaktif yang dapat memberikan pembelajaran baik secara visual maupun auditorial berbasis android yang dapat diakses kapan saja dan dimana saja. Maka pada penelitian ini di rancanglah sebuah aplikasi HOPE yang bermakna “harapan” menggunakan augmented reality berbasis android, Metode penelitian yang digunakan yaitu metode Marker Based Tracking menggunakan tiga sumbu utama yakni X, Y, dan Z dengan bantuan titik koordinat ( 0, 0, 0 ) dan juga virtual secara 3 dimensi. Objek tiga dimensi akan diberi tanda dengan tiga sumbu utama yaitu X, Y, dan Z untuk memuncul objek maya. Adapun hasil dari penelitian ini adalah untuk menambah ilmu pengetahuan bidang telekomunikasi, dapat meningkatkan minat mahasiswa baru program studi teknik telekomunikasi, mempermudah dosen dalam mengajar, dan mempermudah mahasiswa memahami perangkat telekomunikasi secara mandiri.

Environmental Cleanliness still have low public attention. Public tends to inapropriately littering which caused by the trash bin is in full capacity. This things happened because the lack of monitoring by the janitor. The problem mentioned before can be overcome by designing an automatic monitoring system without being monitored all time and send notification. This research will design an automatic trash bin which will send notification of SMS upon reaching full capacity. This trash bin is equipped with Arduino Mega 2560, SIM 900 module, and infrared. This research will be implemented for a better quality of environmental protection.

Various kinds of problems are threatening homeowners from the danger of fire to the danger of theft. To reduce the crime rate that occurs in the community, especially the crime of theft and fire hazard, we need an Internet-based home security tool that can be used to access and obtain reports on the condition of the house directly. In this study the design of a unit of home security equipment was carried out using Arduino as a microprocessor to connect software and hardware by combining several sensors to monitor the home security. Sensors used include Passive Infra Red (PIR) to detect moving objects, MQ-2 sensors to detect smoke and solenoid door lock to lock doors that can be controlled and monitored through the android application as an interface used by its users. The research method used is the cryptographic method with the hill cipher algorithm as a safety data command given to the sensor device and door lock. The results of this study in the form of a home security system that is useful for monitoring the state of the house through an android mobile phone when detecting people or smoke that can endanger the situation when the house is empty, and can control the door lock and sensors remotely.

Conventional greenhouse technology replaced by the development of smart greenhouses. In this greenhouse there is an automatic control system. Measured factors of plant growth can be controlled such as temperature, soil moisture and sunlight. Weather which often cannot be predicted causes these factors to interfere with plant growth. In this study a system for controlling temperature, soil moisture and light was made to suit the needs of plants. As a control method using the fuzzy method. This method is suitable to be applied to the control system. In detecting temperature using a DHT11 sensor, detection of soil moisture uses the YL-69 sensor and light detection using an LDR type sensor. Raspberry Pi is the main brain in this control system. The Raspberry used is the Raspberry Pi 3 Model B + which has better than the previous version. The fuzzy method designed is processed into the Raspberry Pi to produce fan output and water pumps. In the lighting system, the light will turn on if sunlight is less than the plant's needs. In the system created this has been going well. This control system is able to measure the degree of temperature, soil moisture level, and light, and control the system according to predetermined parameters

Soil moisture and temperature are parameters needed by plants in terms of plant growth. In determining soil moisture and temperature according to plants, a control system is needed. This control system uses the Raspberry Pi as an input data processor to output. This control system is designed using fuzzy logic as a decision-making method to maintain soil moisture and temperature that is good for plants. Fuzzy logic is one of the decision support systems that is suitable to be applied to the control system. Fuzzy logic consists of fuzzyfication, formation of fuzzy rules and defuzification. This fuzzy logic uses two inputs and two outputs. The two inputs are soil moisture level and temperature degree. The desired output is the time needed to maintain soil moisture and temperature to keep it in accordance with the needs of the plant

Handovers on 4G networks such as Hard Handover when downlink and uplink must run well, if not then ongoing downlinks and uplinks will be hampered and even fail. This is closely related to potential customer satisfaction, thus the possibility of a handover failure resulting in dissatisfaction with operator users. Along with the high customer interest in 4G-LTE technology, this makes Telkomsel cellular operators maintain Quality & Performance where there is a decline in the quality of RSRP & SINR. One effort is to measure data in the field. The method in measuring data in the field is a Test Drive. Test Drive is a measurement method in a mobile communication system that aims to collect data on the measurement of signal quality of a network from the real direction in the field, so that it can know how the performance of the network.