Matrix : Jurnal Manajemen Teknologi dan Informatika

Monitoring and temperature control system for fish farming in an IOT-based bucket using an android application

Abdul Yazid, Weny Indah Kusumawati, Harianto, Pauladie Susanto — Wed, 31 Jul 2024 00:00:00 +0000

This study seeks to create and implement an Internet of Things (IoT)-based system for monitoring and controlling temperature in fish farming within a bucket (Budikdamber) using temperature sensors. The main focus is to set the optimal temperature range for catfish farming in the Budikdamber, ensuring environmental conditions that suit the needs of catfish. Automatic controls are integrated to keep the water temperature in the bucket within the desired range. The system is also capable of automatically activating or deactivating devices such as the Peltier, lights, filling pump, and draining pump to achieve the appropriate temperature. In the test using a 50-litre bucket, a thorough evaluation and testing showed that the DS18B20 temperature sensor had an error rate of 0.8826%, while the Ultrasonic sensor had an error rate of 0.737%. Nonetheless, the other components in the device operate optimally with performance levels reaching 100%, according to their functions. Testing of the Android App on this device achieved an accuracy rate of 100%, indicating that this device can be effectively monitored and controlled remotely through the Android App. The conclusion of this research provides insight into the performance of temperature sensors, system optimization, and the effectiveness of remote control using Android Apps in the context of fish farming.

Laravel framework and native PHP: Comparison in the crea-tion of rest API

Yuri Ariyanto, Mochamad Farhan Fitrahtur Rachmad, Dwi Puspitasari — Wed, 31 Jul 2024 00:00:00 +0000

As technology evolves, the need for data communication grows. One technology facilitating this communication between applications and databases is the REST API, widely used by companies to provide access to their data and services. REST APIs can be developed using PHP, known as PHP Native. However, PHP Native faces performance issues and a monotonous, repetitive code structure, making maintenance and scalability challenging. Consequently, developers have created PHP frameworks like Laravel. This research compares the Laravel framework with PHP Native in REST API development, evaluating aspects such as processing speed, code efficiency, URL routing structure, and architectural models. The analysis reveals four key points: REST API processing speed, code efficiency, URL routing structure, and project architectural models. In terms of processing speed, PHP Native is slightly superior to Laravel, with speeds of 18.3 ms compared to 344.52 ms, due to additional processes in Laravel like routes, controllers, and models. For code efficiency, Laravel excels due to its ORM feature, unlike PHP Native, which requires manual SQL query writing. In URL routing, Laravel is superior with a structured routing feature, whereas PHP Native requires process file inclusion in route calls. Lastly, Laravel’s architectural model, which implements MVC, is superior to PHP Native, which lacks a standardized architectural model, leading developers to create their own.

Analysis and visualization of digital advertising data using EDA on payment point online bank applications

Wisnu Buana Putra, Kurnia Gusti Ayu — Wed, 31 Jul 2024 00:00:00 +0000

This research explores the effectiveness of digital advertising within Payment Point Online Bank (PPOB) applications using Exploratory Data Analysis (EDA) and data visualization techniques. With the rapid growth of internet users and online transactions in Indonesia, businesses face challenges in optimizing digital marketing strategies. By analyzing data from various digital ad campaigns, the study develops a comprehensive advertising dashboard to enhance decision-making and report generation. Key metrics such as cost, impressions, clicks, app installs, registrations, and purchases are examined to assess campaign performance. The dataset comprises advertising data, which includes campaign data (Region, Network, Device) and demographic data (Age and Gender) stored in spreadsheets. The total campaign dataset contains 20,151 rows, while the demographic dataset comprises 125 rows, collected from March to May 2023. Findings indicate that the majority of users (90%) access the application through mobile phones, while 10% utilize tablets. Regarding cost-effectiveness, the UAC_AppInstall campaign demonstrates the lowest Cost per App Install (CPI) at 3141 Rupiah, while the UAC_AppRegistration campaign has the most efficient Cost per Registration (CPR) at 8892 Rupiah and the UAC_AppRetention campaign boasts the most efficient Cost per Purchase (CPP) at 235 Rupiah. Moreover, regional analysis shows that areas like West Java, Jakarta, East Java, and Central Java have the highest acquisition rates, while the eastern regions of Indonesia face challenges due to lower internet accessibility and digital literacy. The study provides valuable insights for marketing teams to optimize their strategies, enhance targeting approaches, and improve the overall effectiveness of digital advertising campaigns.

The development of a web-based internship information sys-tem at DLHK-DIY using the waterfall method

Fahmi Malik Namus Akbar — Wed, 31 Jul 2024 00:00:00 +0000

The Department of Environment and Forestry of the Special Region of Yogyakarta (DLHK-DIY) encounters a significant challenge related to the insufficient integration of information services for the admission of internship and research programs. This has resulted in difficulties for applicants who seek up-to-date information from the offices or departments within DLHK-DIY, as well as challenges in the inefficient management of data by the institution. This research aims to resolve these challenges through the development of a web-based platform designed to optimize the processes of information and data management. As a result, the deployment of this platform will allow applicants to access information with greater ease and efficiency, while simultaneously improving the institution's ability to manage applicant data. The development methodology for this platform employs the Waterfall approach, encompassing phases such as Needs Analysis, System Design, Implementation, and Testing. The results of this study are projected to enhance the efficiency and effectiveness of the internship and research program implementation at DLHK-DIY. The progress of information technology in the realm of public services, as exemplified by this initiative, is expected to significantly influence service enhancement and data management within the institution.

Internet of Things (IoT) design based on smart farming with solar panels in an agriculture laboratory

Made Dika Nugraha, Kadek Agus Mahabojana, Gede Agus Surya Pratama — Wed, 31 Jul 2024 00:00:00 +0000

The implementation of smart farming still uses AC electricity resources which is estimated to be less effective in its implementation due to wasted electricity costs. As well as the lack of a crop monitoring system by farmers, crop yields are not optimal. This research aims to produce a smart farming system that is used for hydroponic plants to monitor plant conditions periodically and the automatic watering process and nutrient measurements are more efficient, online to the network with the IoT concept, and saves energy by utilizing solar panels. This research is quantitative research with experimental methods. The stages in this system include flowcharts and block diagrams to make it easier to read the workflow that will be created and tested. The results of this research are that the monitoring system with the Blynk Smartphone application turns on if the pH sensor gets a result of 7.2 causing it to open and the pH solution drops in the solenoid which will make nutrients flow into the water container. The solenoid will experience a closed condition because the sensor gets results in the range of 6.2 to 7.2 in pH units. The water level gets an average height of 18.5 to 19.5 cm with the sensor, nutrients are filled into the water container when the solenoid is triggered and turns off when it gets to the maximum value limit. Solar panels as an energy source for detecting acid bases in pH units and hydroponic nutrients are proven to be able to operate all devices within 24 hours during the period of growth.