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Rancangan Alat Absensi Berbasis Internet of Things dan Notifikasi Smartphone Menggunakan App Inventor Warman, Aziz; Jufrizel, Jufrizel; Ullah, Aulia; Zarory, Hilman
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7720

Technological developments have become a major focus when it comes to improving everyday productivity and innovation. Intelligent tools are created to facilitate and assist human work in life. Smart attendance machines are designed to replace the role of manual paper attendance and switch to an automated system. The problem with manual attendance is that there is potential for fraud in attendance and attendance data is vulnerable to damage and loss of data because it only uses paper media for storage and the use of manual attendance also has disadvantages related to attendance data that can be known by student guardians every day. This paper discusses the design of an attendance system using a Radio Frequency Identification (RFID) card as an identity used for the attendance process. The use of Liquid Crystal Display (LCD) to display information from card readings. ESP8266 microcontroller is used to run commands according to the program and access to Wifi that can connect to the internet. To store attendance data using application software that can be accessed by the admin. To monitor attendance, App Inventor is used which can be connected to a smartphone. The results of testing the tool show that the attendance machine can operate in accordance with the design and provide satisfactory results, the tool works by attaching the identity card to the card reader and the data will appear on the LCD in the form of card ID and attendance information, the time it takes to read the card until it appears on the LCD is 2-3 seconds. Attendance data in the form of names, hours in, hours out and attendance information is successfully sent to the website application via an internet connection with the average time required of 4.43 seconds. Data in the form of sample photos was successfully sent by ESPcam to the website application via an internet connection with an average delivery time of 9.36 seconds. The attendance message was successfully sent to the Smartphone using App Inventor.

Alat Pendeteksi Dini Titik Api Kebakaran Hutan Menggunakan Komunikasi LoRa (Long Range) Rizky, Muhammad; Zarory, Hilman; Ullah, Aulia; Faizal, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7768

Forests play an important role in maintaining environmental balance. Forests provide oxygen, host a variety of animals, protect soil, regulate water, and provide cultural, recreational and livelihood resources for humans. Despite their important role, forests are often threatened by fires caused by natural and human factors. Forest fires can cause economic losses, environmental damage, and adverse effects on human health. This research aims to create a tool that can detect forest fires early, monitor the condition of the forest environment in real time, stores data in the databas, and send early warnings via WhatsApp application. In this research, the tool uses sensors such as MQ-2, DHT22, and Soil Humidity Moisture which are connected to the ESP32 microcontroller, as well as LoRa communication technology to send data. This system can work well even in remote areas without a network. The test results show that this tool can provide accurate information about environmental conditions such as air temperature, humidity, and CO2 levels. This research makes an important contribution by providing an effective solution to monitor and prevent forest fires early, especially in remote areas that are difficult to reach by networks. With this tool, it is expected to reduce the negative impact of forest fires on the environment, economy, and human health. This system is expected to be an effective tool in monitoring and preventing forest fires early

Analisa Keandalan Instrumentasi Boiler Feed Pump Menggunakan Metode Failure Mode and Effect Analysis (FMEA) di PT.PLN Nusantara Power UP Tenayan S, Raehan Adillah; Jufrizel, Jufrizel; Maria, Putut Son; Zarory, Hilman
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 9, No 3 (2024): September 2024
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v9i3.2882

PT. PLN Nusantara Power UP Tenayan is a company operating in the power generation sector and focuses on operating PLTUs Tenayan, Indonesia. One part of the machine that influences the operation of the generator is the boiler feed pump. Lack of optimal boiler feed pump instrumentation often results in failure in operating activities. This research uses the Failure Mode and Effect Analysis (FMEA) method with the research objective of finding out the causes of failures that occur, identifying the type of failure, and determining the RPN value and the impact that occurs. The analysis results, it shows that the Boiler Feed Pump instrumentation components still meet operating standards because the Risk Priority Number (RPN) value is below 200, even though the Speed Sensor has a fairly high RPN value but is still in the reliable category, the result of identifying the type of failure that occurs is that the indicator reading is not actual, the component is not functioning, the highest RPN value for the Boiler Feed Pump component is the Speed Sensor component with an RPN value of 160 and the lowest RPN value is for the pressure indicator component with an RPN value of 30. The most important recommended action for the Speed Sensor component is to carry out maintenance for 1 month very.Keywords – Boiler Feed Pump, FMEA, Keandalan, Pembangkit, RPN.

Sistem Otomatisasi Pemberian Pakan secara Terjadwal untuk Pembibitan Ikan Lele di Fardu Farm Pekanbaru menggunakan PLC dan IoT Ulhaq, Muhammad Rafif Dhiya; Zarory, Hilman; Ullah, Aulia; Faizal, Ahmad
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 9, No 3 (2024): September 2024
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v9i3.2933

With the increasing global population growth, the demand for fishery products, including catfish, continues to rise. Catfish seed production plays a crucial role in the fisheries production chain, as this stage ensures the availability of high-quality fish seeds. However, fish farmers still face challenges in increasing aquaculture production, especially regarding inefficient manual feeding practices. This research aims to develop an automated catfish feeding system on a schedule at Fardu Farm using a combination of Programmable Logic Controller (PLC) and Internet of Things (IoT) technologies. In this study, the researchers design and implement an automation system that enables scheduled feeding in catfish seedlings. The use of Outseal PLC connected to IoT allows for precise and efficient feeding control. This research conducts testing to verify the system's performance, including measuring the weight of the feed dispensed and testing feeding over specific time periods. The results of the study indicate that this automation system successfully provides timely feeding according to the established schedule. Additionally, manual control using the Blynk platform also yields good responsiveness. Thus, the developed system can enhance efficiency in feeding catfish seedlings at Fardu Farm.Keywords - Automation, Feeding, Catfish Breeding, PLC, IoT.

Rancangan Alat Absensi Berbasis Internet of Things dan Notifikasi Smartphone Menggunakan App Inventor Warman, Aziz; Jufrizel, Jufrizel; Ullah, Aulia; Zarory, Hilman
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7720

Technological developments have become a major focus when it comes to improving everyday productivity and innovation. Intelligent tools are created to facilitate and assist human work in life. Smart attendance machines are designed to replace the role of manual paper attendance and switch to an automated system. The problem with manual attendance is that there is potential for fraud in attendance and attendance data is vulnerable to damage and loss of data because it only uses paper media for storage and the use of manual attendance also has disadvantages related to attendance data that can be known by student guardians every day. This paper discusses the design of an attendance system using a Radio Frequency Identification (RFID) card as an identity used for the attendance process. The use of Liquid Crystal Display (LCD) to display information from card readings. ESP8266 microcontroller is used to run commands according to the program and access to Wifi that can connect to the internet. To store attendance data using application software that can be accessed by the admin. To monitor attendance, App Inventor is used which can be connected to a smartphone. The results of testing the tool show that the attendance machine can operate in accordance with the design and provide satisfactory results, the tool works by attaching the identity card to the card reader and the data will appear on the LCD in the form of card ID and attendance information, the time it takes to read the card until it appears on the LCD is 2-3 seconds.Â Â Attendance data in the form of names, hours in, hours out and attendance information is successfully sent to the website application via an internet connection with the average time required of 4.43 seconds. Data in the form of sample photos was successfully sent by ESPcam to the website application via an internet connection with an average delivery time of 9.36 seconds. The attendance message was successfully sent to the Smartphone using App Inventor.Â

Alat Pendeteksi Dini Titik Api Kebakaran Hutan Menggunakan Komunikasi LoRa (Long Range) Rizky, Muhammad; Zarory, Hilman; Ullah, Aulia; Faizal, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7768

Forests play an important role in maintaining environmental balance. Forests provide oxygen, host a variety of animals, protect soil, regulate water, and provide cultural, recreational and livelihood resources for humans. Despite their important role, forests are often threatened by fires caused by natural and human factors. Forest fires can cause economic losses, environmental damage, and adverse effects on human health. This research aims to create a tool that can detect forest fires early, monitor the condition of the forest environment in real time, stores data in the databas, and send early warnings via WhatsApp application. In this research, the tool uses sensors such as MQ-2, DHT22, and Soil Humidity Moisture which are connected to the ESP32 microcontroller, as well as LoRa communication technology to send data. This system can work well even in remote areas without a network. The test results show that this tool can provide accurate information about environmental conditions such as air temperature, humidity, and CO2 levels. This research makes an important contribution by providing an effective solution to monitor and prevent forest fires early, especially in remote areas that are difficult to reach by networks. With this tool, it is expected to reduce the negative impact of forest fires on the environment, economy, and human health. This system is expected to be an effective tool in monitoring and preventing forest fires early

Dual Sistem Keamanan Pada Pintu Dengan Pengenalan Wajah Local Binary Pattern Histogram (LBPH) Dan Sidik Jari serta Notifikasi Telegram Maulana, Abi; Ullah, Aulia; Faizal, Ahmad; Zarory, Hilman
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 2 (2025): Mei 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i2.3696

Conventional door security systems, such as padlocks and manual keys, have weaknesses, including vulnerability to duplication and the risk of loss. Biometric-based systems, such as facial recognition, offer a more reliable solution through unique user identification. This study develops a door security system using the Local Binary Pattern Histogram (LBPH) method for facial recognition, complemented by fingerprint verification as an additional security layer and real-time notifications via the Telegram application. The LBPH method was chosen for its ease of implementation and processing speed, although it has limitations such as sensitivity to lighting changes and potential recognition errors due to similar facial textures. The system utilizes LBPH for initial authentication, followed by fingerprint verification. Users also receive real-time notifications via Telegram to monitor access attempts. Testing showed a facial recognition accuracy of 85% under bright lighting conditions at distances of 30–150 cm, but it decreased to 65% in dim lighting. Fingerprint verification took approximately 2 seconds, while notification delivery required 1–2 seconds on a stable internet network. This system enhances security by ensuring only registered users can unlock the door. If facial recognition fails, the door remains locked without valid fingerprint verification.Keywords - Face Recognition, Fingerprint Sensor, LBPH, Security System, Telegram Notification.

Sistem Penyiraman Pintar dan Monitoring Tanaman Sawi Otomatis Berbasis Esp 32 dan Sensor Kelembapan Tanah Menggunakan Metode Fuzzy Mamdani Pamungkas, Rizky; Ullah, Aulia; Faizal, Ahmad; Zarory, Hilman
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 2 (2025): Mei 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i2.3687

Agriculture is an important sector in the Indonesian economy, with vegetables such as mustard greens (Brassica juncea) that have high economic value and are important for the healthy diet of the community. One of the main challenges in mustard cultivation is the optimal management of soil moisture, as unstable moisture levels can affect the quality and quantity of the harvest. This research aims to design and implement an automatic irrigation system based on Internet of Things (IoT) technology using the ESP32 microcontroller and soil moisture sensors, as well as applying Mamdani Fuzzy logic to manage irrigation adaptively. This system is capable of increasing water usage efficiency by up to 50% by maintaining soil moisture at optimal levels, which positively impacts the growth of mustard plants. In addition, this system allows for remote monitoring through an IoT application, making it easier for farmers to manage irrigation more efficiently. The research results show that the implementation of this automated system not only reduces dependence on manual labor but also ensures more efficient water usage, thereby providing an innovative solution for irrigation efficiency in the agricultural sector. Keywords - ESP32, Mamdani Fuzzy, Smart Irrigation System, Soil Moisture.

Design of Miniature Zebra Crossing Violator Detection at Traffic Lights Based on Internet Of Things Alwi, Lukman; Zarory, Hilman; Faizal, Ahmad; Mursyitah, Dian
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 2 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i2.7643

A frequen problem in riau province is the problem of traffic lights at zebra crossing, where drivers often cross the stop line. Many drivers, especially at traffic lights, cross the stop line, potentially causing congestion and accidents. To overcome these problem, technology is needed that can detect and monitor the number of zebra crossing violation remotely. One of the technological solutions is the use of iot-based esp32 cam camera modue and pir sensor, sepaker. This research aim to create a device that can detect drivers eho exceed the stop line at the zebra crossing violation detecion system at iot-based traffic lights. Five violations were tested using a stopwatch to measure the desice’s response time. Sensor 1 nad 2 detected the fastest violation at 0.34 seconds and 0.55 second respectively. Buzzer has a response time of 0.34 seconds, esp32 cam has a response time of 0.55 seconds, and telegram has response time occurs at a distance of 19 cm. The results showed that the pir sensor can detect the vehicles that cross the stop line, and the esp32 cam can capture image of the telegram as evidence of the violation within a distance of 20 cm, outside this range the sensor connot detect the violation

Prototype PPG (Photoplethysmography) Secara Real-time sebagai Pendeteksi Dini Gangguan Detak Jantung Dilengkapi dengan Visual Graph pada Android Mulyani, Sri; Zarory, Hilman; Ullah, Aulia; Jufrizel, Jufrizel
Journal of Telecommunication Electronics and Control Engineering (JTECE) Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/jtece.v6i2.1460

Kesehatan jantung adalah faktor vital dalam menjaga kesehatan tubuh manusia. Salah satu teknologi terkini untuk pemantauan kesehatan jantung adalah PPG (Photoplethysmography), yang memberikan data esensial mengenai detak jantung dan kondisi kardiovaskular. Namun, teknologi PPG yang dikembangkan sebelumnya seringkali terbatas pada perangkat yang tidak portabel dan sulit untuk mendapatkan data kestabilan irama jantung yang lebih mendetail. Penelitian ini bertujuan mengembangkan prototype PPG secara real-time dengan visualisasi grafis di platform android. Perancangan perangkat keras melibatkan sensor MAX30102, Arduino Uno, dan modul ESP8266. Bagian perangkat lunak mencakup pengembangan antarmuka pengguna menggunakan Cocos2d-x dan Android Studio, memungkinkan visualisasi sinyal PPG, pengukuran BPM (Beat Per Minute), serta statistik seperti rata-rata BPM, 10 periode sinyal, dan standar deviasi. Hasil pengujian menunjukkan bahwa prototype mampu menampilkan sinyal PPG dengan baik dan stabil dalam 4.07 detik setelah penempatan jari pada sensor, menghasilkan nilai BPM dalam 5.92 detik, nilai rata-rata BPM dalam 11.49 detik, dan memulihkan stabilitas sinyal dalam 3.27 detik setelah gangguan input. Error mencapai 2.91% untuk nilai BPM dan 2.13% untuk nilai rata-rata BPM. Penelitian ini menggunakan alat deteksi detak jantung secara real-time dengan respon dan akurasi yang baik.

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