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All Journal Jurnal Dinamika Informatika (JDI)
Prahenusa Wahyu Ciptadi
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Computer Science & IT

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Implementasi Ds 18b20 pada kolam ikan sistem smart aquaponic R. Hafid Hardyanto; Prahenusa Wahyu Ciptadi
Jurnal Dinamika Informatika Vol 8 No 2 (2019): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

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Abstract

The combination of farming methods with aquaponic systems by collaborating with the application of IoT technology is expected to be able to provide ease in farming. In the aquaponic method, fish that are kept in ponds are in the form of tilapia, where tilapia will live at optimal temperatures ranging from 28 - 32ºC. The survival process of tilapia in aquaponic systems is strongly influenced by temperature, where the temperature can affect the quality of oxygen in water, so that the temperature must be kept at working temperature by designing a controller. This research aims to build, and implement a temperature sensor that can control the aquaponic pool water temperature through a microcontroller that is connected to the user via the internet. The user can monitor the smart aquaponic pool water temperature through the application on the user's android. This research method uses the waterfall development method (MSF), with the Object Oriented Development (OOD) approach. The stages of this research include: problem identification, initial planning, design and design, product testing, and implementation. Data collection methods in this study are: (1). Literature review. (2). Observation (3). Hardware and software testing. Data testing includes hardware testing and software testing. The results of the study are, the system has been able to maintain the temperature of aquaponic pond water developed with IoT technology.
Penerapan Pl/SQL Untuk Menentukan Pola Data Latih Pada Aplikasi Berbasis Neural Network Tri Hastono; Prahenusa Wahyu Ciptadi
Jurnal Dinamika Informatika Vol 10 No 2 (2021): Jurnal Dinamika Informatika Vol.10 No.2
Publisher : Universitas PGRI Yogyakarta

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Abstract

Stock stability in business activities is an important component. One way to maintain the stability of the stock of durian fruit is to estimate the amount of consumer demand for durian fruit. Predicting the amount of durian fruit customers need can be done by looking at the patterns formed from sales transactions. However, if the prediction is done manually, it will take a long time and be prone to errors. The solution to overcome this problem is the need for a tool in the form of software in which there is already an accurate calculation method. One method that can be used to calculate customer durian needs is the Adaline artificial neural network. And the training data used is durian fruit sales data. Training data is divided into 2 groups, namely input data and target data. The focus of this research is the pl/sql design to determine the data input pattern automatically for the application of predicting the number of customer's durian fruit needs. The types of pl/sql used in this study are procedure and function
Implementasi Bussines Intelligence Dalam Pendukung Keputusan Menentukan Talent Dengan Metode Naïve Bayes Prahenusa Wahyu Ciptadi
Jurnal Dinamika Informatika Vol 12 No 1 (2023): Jurnal Dinamika Informatika
Publisher : Universitas PGRI Yogyakarta

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Abstract

The development of information technology in an organization or company can be used to support a large number of business decisions to be made. The developments that have occurred have made it possible for companies engaged in similar fields to compete for the best talent development results. PT. XYZ is a financial services or training company that has several services such as public training, in-house training and seminars (workshops). There are often difficulties in this industry in increasing the number of applicants to conduct training. An appropriate talent management strategy can increase or maximize the profits earned by the company. This research uses the concept of business intelligence and data mining methods based on talent prospect data for the data analysis process.
Co-Authors R. Hafid Hardyanto Tri Hastono