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The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

The increasing popularity of futsal in Jayapura City has created a growing demand for efficient access to information regarding available sports facilities. However, the lack of an integrated digital platform leads to inefficiencies in locating and booking futsal fields, often forcing users to rely on manual communication or generic navigation services that lack real-time data. This study aims to develop an Android-based application that optimizes the search for the nearest futsal field using the Greedy Algorithm (GA). The system integrates the Google Maps API, the Firebase Realtime Database, and Kotlin/Java to provide real-time field availability, route visualization, and online booking features. The research employed the Waterfall development model, with data collected through observation, interviews, and a literature review, involving 19 futsal fields in Jayapura City. System testing was conducted using Black-Box Testing and User Acceptance Testing (UAT). The results show that implementing the Greedy Algorithm increased route efficiency by 22%, reduced search time by 55%, and achieved 93.2% user satisfaction. All core functions passed functionality testing without errors. This study contributes both practically and theoretically by demonstrating the potential of heuristic-based optimization in sports facility management and promoting smart-city digitalization in urban sports infrastructure.

Public health is a crucial aspect of improving well-being, particularly at the village level. However, in Srigading Village, Lawang District, Malang Regency, access to information related to health services remains a significant challenge, resulting in suboptimal utilization of Posyandu and Puskesmas services. To address this issue, a web application called “Srigading Sehat” has been developed as a digital platform providing health service information through interactive maps and service schedules. This community service activity employs the IDEA approach (Identify Objective, Design Action Steps, Engage Our Plan, Assess and Follow Up) as a systematic framework. The Identify Objective stage identified limitations in health information access; Design Action Steps designed a participatory learning-based application development model; Engage Our Plan implemented application development, socialization, and training for 25 participants comprising village officials, posyandu cadres, and the general community; and Assess and Follow Up evaluated achievements through Firebase Analytics monitoring. Results showed increased health information access marked by 500 health information page visits within the first 30 days of launch, with total Firebase reads reaching 631 (+1,026.8%). Four village health facilities are actively registered and using the application to independently update their service information. This application is anticipated to serve as an appropriate technological innovation contributing to the enhancement of health services at the village level.

Peningkatan minat masyarakat Indonesia terhadap bahasa Jepang mendorong kebutuhan akan media pembelajaran yang lebih interaktif dan fleksibel. Namun, banyak aplikasi yang tersedia masih terbatas pada penyajian materi tanpa sistem progres belajar yang adaptif. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile “Andana” sebagai platform pembelajaran bahasa Jepang interaktif berbasis Flutter dan Firebase. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan pendekatan software engineering. Proses pengembangan mencakup analisis kebutuhan, perancangan sistem, implementasi, dan pengujian fungsional. Data penelitian bersumber dari hasil uji coba fungsionalitas dan evaluasi performa aplikasi oleh pengguna. Aplikasi Andana dirancang dengan dua peran utama, yaitu pengguna dan admin, serta dilengkapi fitur pembelajaran berbasis multimedia (PDF, video, audio), flashcard, latihan mendengarkan, berbicara, dan sistem catatan pribadi. Hasil penelitian menunjukkan bahwa seluruh fungsi aplikasi berjalan dengan baik, dengan sinkronisasi data real-time dan tampilan antarmuka yang responsif. Integrasi antara Flutter dan Firebase terbukti mendukung pengelolaan data pengguna dan pembaruan konten secara dinamis. Kontribusi penelitian ini terletak pada pengembangan model aplikasi pembelajaran berbasis cloud yang adaptif dan mudah dikembangkan. Implikasinya, aplikasi Andana berpotensi menjadi media belajar bahasa Jepang yang efisien, menarik, serta dapat diadaptasi untuk bahasa asing lainnya di masa mendatang.

Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase

Furniture has high added value and significant global competitiveness, largely due to the diversity of natural raw materials available in Indonesia, such as wood, rattan, and bamboo, as well as distinctive and high-quality designs. This advantage is supported by the skills and competence of the available human resources, making Indonesian furniture superior to products from other countries. Product quality is a key element in winning market competition, as it impacts customer satisfaction and loyalty. Masnur Joglo, a furniture company located on Jl. Muara Karya, specializes in producing various types of furniture from high-quality woods such as super mahogany and red teak. However, the purchasing system, which requires customers to visit the store directly and manually record prices, results in inefficiencies in terms of time and transportation costs. Customers often need to visit multiple stores to find the desired product, which is an inefficient process. To address these challenges, this study proposes the development of an Android-based sales application as a solution. This application is designed to expand Masnur Joglo's market reach and facilitate online ordering of furniture products, anytime and anywhere. The study aims to design and develop an Android-based sales information system that can enhance operational efficiency and streamline the sales process while better meeting customer needs. The application development method employs the waterfall model and uses MySQL and Firebase databases.  

Hipertensi merupakan salah satu penyakit tidak menular yang umum terjadi di dunia. Salah satu penyebab umum hipertensi adalah pola makan yang tidak sehat. Dalam menanggapi hal tersebut, Dietary Approach to Stop Hypertension (DASH) disarankan sebagai pola makan yang efektif untuk mengurangi tekanan darah. Meskipun telah terbukti efektif, penderita hipertensi masih belum dapat menerapkan pola makan tersebut secara konsisten. Salah satu faktor penghambat penerapan pola makan DASH adalah ketidaktahuan penderita hipertensi dalam memodifikasi pola makan sesuai anjuran yang ada. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk merancang pembuatan aplikasi pola makan DASH bagi penderita hipertensi berbasis mobile yang dapat memberikan rencana makan sesuai pola makan DASH. Rencana makan dalam jangka waktu tujuh hari yang dibuat setiap harinya meliputi sarapan, makan siang, dan makan malam. Menu makanan akan dirancang dan disesuaikan dengan jumlah kebutuhan kalori harian. Penderita juga dapat memantau asupan natrium sesuai dengan makanan yang telah dikonsumsi. Sebelum mengembangkan aplikasi, usability testing dilakukan menggunakan metode heuristic evaluation untuk mengevaluasi desain pada prototype. Pengembangan aplikasi dilakukan menggunakan metode waterfall model dengan arsitektur BLoC. Aplikasi mobile dikembangkan menggunakan bahasa pemrograman Dart, framework Flutter, Bloc, Firebase, dan Edamam untuk sistem operasi Android. Pengujian black box kemudian dilakukan dengan metode functional testing. Setiap fitur yang diujikan berhasil berjalan sesuai yang diharapkan dan dinyatakan lolos pengujian. Hasil penelitian menunjukkan bahwa aplikasi Milda dapat digunakan oleh penderita hipertensi untuk menjalankan pola makan sehat dengan memberikan rencana makan sesuai dengan pola makan DASH. Rencana makan yang diberikan mendorong penderita hipertensi untuk memulai atau mencoba kembali pola makan DASH. Selain itu, variasi menu makanan yang menarik juga mendorong penderita hipertensi untuk lebih konsisten dalam menjalankan pola makan DASH.

Sebagian masyarakat biasa melakukan kegiatan bertamu untuk mempererat tali silaturahim dengan orang lain. Namun saat tamu memasuki area rumah dan tiba di pintu masuk, terkadang penghuni rumah sedang tidak ada dirumah atau tidak mengetahui jika ada tamu yang sedang berkunjung. Selain itu jika penghuni rumah sedang beraktifitas di dalam rumah dan berada jauh dari pintu masuk rumah membuat suara tamu tidak terdengar. Untuk mengatasi permasalahan diatas maka di zaman sekarang ini dapat dimanfaatkan teknologi dalam bidang internet of things (IoT) yaitu untuk pembuatan  prototype bel rumah otomatis berbasis IoT dan face recognition dengan menggunakan modul ESP32-CAM serta aplikasi Android sebagai media notifikasi. Prototype bel rumah otomatis ini dibangun menggunakan komponen ESP32-CAM, sensor PIR, buzzer serta API face recognition sebagai database pengenalan wajah. Untuk pembangunan prototype aplikasi Android sebagai media notifikasi menggunakan software Android Studio dan Firebase sebagai basis datanya. Adapun metode yang digunakan yaitu metode prototyping. Berdasarkan hasil pengujian yang telah dilakukan, diketahui bahwa sensor PIR mampu mendeteksi tamu dengan jarak kurang lebih 200 meter dan ESP32-CAM dapat melakukan deteksi wajah dengan rentang jarak 40-80 cm. Sedangkan persentase error fungsional sebesar 16.6%. Hal ini menunjukkan bahwa hasil pengujian pada bel rumah otomatis bisa berjalan dengan baik.

Setiap pemilik rumah atau ruangan seringkali mengalami kelalaian ketika meninggalkan rumah atau ruangan. Salah satu kelalaian yang sering terjadi yaitu pintu yang belum terkunci. Penggunaan anak kunci untuk saat ini sangat mudah dirusak oleh pelaku kejahatan karena anak kunci yang digunakan masih kurang efektif dan mudah terjadi kehilangan saat pemakaian. Penelitian ini bertujuan untuk membantu pengguna dalam mengatasi kelalaian terhadap penguncian pintu apakah kondisi pintu sudah terkunci atau belum dari jarak dekat maupun jauh melalui smartphone. Prototipe ini dibangun dengan metode Prototyping dan diprogram agar dapat dikontrol menggunakan mikrokontroler ESP8266 berbasis Internet of Things (IoT) yang dilengkapi dengan komponen MC-38 Magnetic sensor, motor servo SG90, buzzer, RFID, dan kunci gerendel dengan terhubung pada penyimpanan Supabase dan Firebase yang nantinya akan ditampilkan pada aplikasi smartphone yang dibuat menggunakan Flutter. Prototipe ini dapat berfungsi dengan baik ketika melakukan penguncian dengan kunci gerendel pada pintu baik secara jarak jauh mapun dekat serta mendeteksi kondisi pintu yang terbuka atau tertutup dengan menyalakan buzzer dan mengirimkan data log juga notifikasi pada aplikasi smartphone. Hasil dari prototipe ini diharapkan dapat mengurangi pelaku kejahatan yang menyusup ke rumah atau ruangan melalui pintu masuk sebagai jalan utama memasuki rumah ataupun ruangan.

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is

Percetakan Daduh adalah sebuah usaha percetakan yang memproduksi stempel, undangan, kartu nama, buku yasin, dan lainnya. Penggunaan teknologi yang dapat diterapkan pada salah satu faktor penentu pendapatan usaha yaitu harga jual, mengharuskan perusahaan percetakan untuk beradaptasi dengan kemajuan teknologi. Akan tetapi, saat ini mekanisme perhitungan harga pada Percetakan Daduh masih dilakukan secara manual dan tanpa memperhitungkan ketiga komponen biaya produksi. Hal ini dapat menyebabkan proses penentuan harga menghasilkan jumlah yang tidak tepat. Dengan adanya permasalahan tersebut, pemilik usaha membutuhkan sebuah program yang mempermudah perhitungan harga pokok produksi. User Interface sistem ini dikembangkan dengan menggunakan React JS sebagai framework JavaScript dan Firebase sebagai platform penyimpanan database. Pada sistem berbasis web ini, harga pokok produksi dihitung menggunakan metode harga pokok pesanan. Dengan menggunakan metode harga pokok pesanan, biaya produksi dihitung atas dasar jumlah pesanan. Sistem ini terdiri dari data biaya sebagai masukan dan harga pokok produksi sebagai keluaran. Data biaya yang diinputkan meliputi informasi yang berkaitan dengan komponen harga pokok produksi,  yaitu biaya bahan baku, tenaga kerja, dan biaya overhead pabrik. Aplikasi ini mampu membantu percetakan Daduh dalam menetapkan harga pokok produksi dengan cepat dan efisien.

In everyday life, trucks are used to transport goods. Not infrequently seen a lot of use of trucks that exceed the carrying capacity. Accidents on the highway include the impact caused by trucks that are overloaded or overloaded. The purpose of this study is to reduce the risk of accidents due to overloading or overloading. The truck load monitoring system aims to make it easier for truck users to see the truck load weight directly through a smartphone with an application. In addition, users can also see the excess weight of the load and there is an overweight indicator in the form of a buzzer. With this system, users can reduce the risk of accidents on their vehicles. This system consists of a load cell sensor and HX711 module as a weight detector, NodeMCU as a microcontroller and data transmission, firebase as a database, and android studio as a container for creating applications. Payload weight data can be monitored remotely or close according to the principles of the Internet of Things (IoT). The results of this study indicate that the system works well with the sensor accuracy level on the prototype truck 1 and truck prototype 2 above 95%. Writing data on firebase, reading firebase through the application and testing the buzzer has a 100% success rate percentage. There is no diference transmission delay between serial monitor and firebase.

Pada era sekarang akomodasi bus masih cukup diminati karena kemudahan dalam mengaksesnya. Namun ketidakpastian waktu kedatangan bus tersebut terkadang menjadi masalah bagi calon penumpang karena seringnya tertinggal oleh bus yang ingin di tumpanginya. Dengan adanya permasalahan tersebut dibuatlah sebuah sistem dalam memperkirakan jarak dan waktu kedatangan bus. Dalam membangun sistem tersebut memanfaatkan modul GPS Neo-6M dan NodeMCU ESP8266 sebagai penentu titik lokasi bus. Modul GPS Neo-6M akan menerima data latitude dan longitude dari satelit navigasi yang kemudian data akan diolah NodeMCU ESP8266 dan dikirimkan ke firebase realtime database. Dalam website yang dibangun terdapat google maps API dan distance matrix service, dalam website juga terdapat titik lokasi Terminal dimana calon penumpang ingin menungu kedatangan bus. Website yang dibangun akan membaca data dari firebase realtime database dan akan menggitung hasil jarak dan perkiraan waktu kedatangan bus dengan data yang telah diperoleh dari firebase realtime database dan data dari titik terminal dimana calon penumpang ingin menunggu kedatangan bus. Berdasarkan penelitian yang telah dilaksanakan diketahui bahwa sistem yang dibuat dapat berjalan dengan baik, sistem mampu menghitung jarak dan perkiraan waktu kedatangan dari data yang ada dengan nilai rata-rata kesalahan pada pengukuran jarak sebsesar 0,9% serta sistem yang dibangun dapat menampilkan perkiraan waktu kedatangan bus.

By looking at current technological developments that already use automatic sensors, the application of the concept to this system can be a solution for dealing with ornamental fish farming owners. In this research, a tool is made that can perform feeding, checking temperature, water turbidity, feed level, water level and water pump control, from this information will be sent to android by firebase automatically monitored and controlled anywhere via android. This tool is designed with ease of maintenance and is an extension of the existing tools. IoT technology is used to monitor online, based on Firebase and Nodemcu Esp8266. In this study, researchers used the research method of the Borg and Gall (1987) model from 10 steps to 6 steps. The results of this study were carried out by an expert validation test to get a value of 30 which means "Very Good (Valid)". While the effectiveness test by 10 users plus by experts and employee users get a total score of 35.16 which means the effectiveness test is classified as "Very Good (Valid)" it can be said that the new system is more effective than the old system.

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign

Security aspects is needed in various fields of life today. Safety is becoming a concern for everyone. One of the important concerns is the security of the room. The indoor security system uses Raspberry Pi and RFID based Firebase Cloud Messaging and Motion Detection Camera, is a room security system that includes expensive equipment, so this device is designed for protection or robbery and also provides assistance in advance. . The security system in this room consists of several parts, namely Raspberry Pi as a brain system, selenoid door lock as an electric lock on the door, RFID system and CCTV camera as a detector of the amount of human movement, PIR sensor as a detector of human temperature, alarm as an indicator of intruders which transfers rooms, and database applications as user storage databases for security recorders