Jurnal Dinamika Informatika (JDI)
Enterprise Systems (ES) Enterprise Resource Planning Business Process Management Customer Relationship Management Marketing Analytics System Dynamics E-business and e-Commerce Marketing Analytics Supply Chain Management and Logistics Business Analytics and Knowledge Discovery Production Management Task Analysis Process Mining Discrete Event Simulation Service Science and Innovation Innovation in the Digital Economy Information Systems Management (ISM) Software Engineering Software Design Pattern System Analysis and Design Software Quality Assurance Green Technology Strategies Strategic Information Systems IT Governance and Audits E-Government IT Service Management IT Project Management Information System Development Research Methods of Information Systems Adoption and Diffusion of Information Technology Health Information Systems and Technology Accounting Information Systems Human Behavior in Information System Social Technical Issues and Social Inclusion Domestication of Information Technology ICTs and Sustainable Development Information System in developing countries Software metric and cost estimation IT/IS audit IT Risk and Management Data Acquisition and Information Dissemination (DAID) Open Data Social Media Knowledge Management Social Networks Big Data Web Services Database Management Systems Semantics Web and Linked Data Visualization Information Social Information Systems Social Informatics Spatial Informatics Systems Geographical Information Systems Data Engineering and Business Intelligence (DEBI) Business Intelligence Data Mining Intelligent Systems Artificial Intelligence Autonomous Agents Intelligent Agents Multi-Agent Systems Expert Systems Pattern Recognition Machine Learning Soft Computing Optimization Forecasting Meta-Heuristics Computational Intelligence Decision Support Systems IT Infrastructure and Security (ITIS) Information Security and Privacy Digital Forensics Network Security Cryptography Cloud and Virtualization Emerging Technologies Computer Vision and Image Ethics in Information Systems Human Computer Interaction Wireless Sensor Networks Medical Image Analysis Internet of Things Mobile and Pervasive Computing Real-time Systems and Embedded Systems Parallel and Distributed Systems
Articles
107 Documents
Penerapan Sistem Digital Berbasis Online bagi UMKM Studi Kasus Kana Shibori
Erizal Erizal;
Wiji Nurastuti
Jurnal Dinamika Informatika Vol 10 No 2 (2021): Jurnal Dinamika Informatika Vol.10 No.2
Publisher : Universitas PGRI Yogyakarta
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Micro, Small and Medium Enterprises (MSMEs) play a major role in supporting Indonesia's national economy, proven to contribute 60.34% of Gross Domestic Product (GDP) before the Covid-19 pandemic in 2020. The role of MSMEs needs to be further enhanced, especially in the midst of a pandemic. as it is now. The steps or processes taken for MSME actors are directed at efforts to improve product quality, which in the end is expected to increase the competitiveness of MSME products. Utilization of information technology is a very appropriate choice for efficiency and improvement of digital product management, data processing, and information systems for MSMEs in Yogyakarta City. The final output from the use of this technology can support the implementation of digital marketing for MSME products in a better and more targeted manner.
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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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
Perancangan Aplikasi Mobile Game Edukasi Taman Belajar Sebagai Media Pembelajaran Edukatif Anak
Anggi Dwi Nurul Aini;
Muhamad Rizki Sulaiman;
Risman Risman;
Surya Purnama Putra
Jurnal Dinamika Informatika Vol 10 No 2 (2021): Jurnal Dinamika Informatika Vol.10 No.2
Publisher : Universitas PGRI Yogyakarta
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This research aims to create and know the use of educational games as an alternative learning medium for children. The importance of learning in this child is not accompanied by a media of appropriate child age. In afact, children are more likely to be interested in playing than learning. Therefore, there needs to be learning media that supports the habit of playing in children. In the conventional learning media, children will tend to feel bored because they only learn through books. With the existence of learning media in the form of educational games will facilitate children in the process. The results of this study are educational game products. Software or game engine used in this creation of this educational game is construct 2.
DETEKSI HELM KESELAMATAN KERJA BARBASIS ANDROID MENGGUNAKAN METODE PCA (Component Principal Analys)
Firdiyan Syah;
Hasti Hasanati
Jurnal Dinamika Informatika Vol 10 No 2 (2021): Jurnal Dinamika Informatika Vol.10 No.2
Publisher : Universitas PGRI Yogyakarta
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The development of face detection can be utilized in various fields, one of which is to detect work safety tools such as protective helmets in a project that requires work security. The face area is a part of the human body that is the focus of attention because it is the basis for detection because the face plays an important role by showing identity and emotion. Detecting work safety equipment in the form of a helmet is a challenge because of how to know the difference between a face and a helmet and not. Therefore, the face is used as an organ of the human body which is used as an indication for detection and can even be developed into a person's recognition or face recognition. Face recognition technology is a method used for detecting the discovery of images and videos. This research is to create a design concept to detect the face area using an android-based safety helmet. In this system, the pca method is used. Pca method is used for feature extraction from training and test images. This study aims to detect faces using a helmet properly with the hope that the accuracy of this method reaches 90%..
Analisis Komparatif Tombol Power Keyboard Dan Tombol Power Motherboard Pada Laptop
fahri el fazza
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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Keyboard merupakan papan ketik pada laptop yang berfungsi sebagai alat input pada laptop. Tujuan dalam penelitian ini berfungsi untuk menganalisis perbandingan tombol power pada keyboard dan tombol power pada motherboard . Dampak kerusakan pada keyboard yang akan dianalisis mengunakan metode analisis komparatif. Dengan mengunakan metode tersebut akan membandingkan arsitektur tombol power pada keyboard dan tombol power pada motherboard. Sehinga output pada penelitian ini dapat menyajikan data perbandingan arsitektur keyboard terhadap kerusakan yang ditimbulkan.
Pengembangan Aplikasi Ujian Berbasis Website Pada SMK AR-RAHMA CIDAHU Menggunakan HTML5 dan PHP Signature Pad
Ikhsan Ma'arif
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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This study aims to analyze the needs, design and develop an online exam application used at SMK AR-RAHMA CIDAHU, the method used in this development is the ADDIE Model which consists of five stages namely Analy-sist, Design, Development, Implementation, and Evaluation. SMK AR-RAHMA CIDAHU is one of the schools that implements an online exam system using a website-based application during the pandemic, but the exam application used has shortcomings to adjust the needs of adminis-trative staff, one of which is the attendance feature. In this case, application development is carried out by add-ing a digital attendance feature using the HTML5 function and PHP Signature Pad with digital signature output stored in image format. The development of these features can be used as evidence of the presence of examinees to support the reporting of test results as well as to improve the usability of the application itself.
Model Clustering Algoritma K-Mean Dalam Menentukan Kriteria Kondisi Gizi Balita Dan Anak
khairul zannah;
Sumarno Sumarno;
Zulaini Masruro Nasution;
Iin Parlina;
Ika Purnama Sari
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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The current level of health for toddlers and children is still a challenge in every region. Nutrition is very important for toddlers and children, a balanced nutritional value is very good in the process of growth and development of toddlers and children, especially in influencing height and weight growth, motor development, and daily activities. The problem currently being experienced in Nagori Sitalasari is that there are still many parents who do not know the value of balanced nutrition for toddlers and children, there are still toddlers and children who are still malnourished or stunted based on age and weight. The method used in this research is literature study and observation. This study will group or cluster the nutritional values of toddlers with reference to the parameters of toddler age, toddler height and toddler weight using the K-Means Clustering algorithm into 3 (three) categories, namely poor nutrition, good nutrition and obesity. The results of the research conducted can classify the nutritional value of children under five in general so that it can be used as a basis for early prevention for posyandu cadres to overcome malnutrition and obesity.
Perancangan Sistem Informasi Pendaftaran Siswa Baru SMA IT Iqra Bengkulu
nadiza lediwara
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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The new student registration system at SMA IT Iqra Kota Bengkulu has been carried out since its establishment until now which is done manually. Weaknesses that arise are the number of registrants that are more than 30 students per day and the limited number of employees. This research provides convenience from various forms of weaknesses, including time efficiency, ease of administrative governance, and the absence of a manual queuing system. Other advantages include reducing paper usage on registration forms and schedules. Therefore, the new student registration system is able to provide solutions for employees, prospective students, and schools.
Penerapan Regresi Linear Ganda Untuk Memprediksi Hasil Nilai Kuesioner Mahasiswa Dengan Menggunakan Python
Muhammad Sholeh
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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Salah satu aktivitas yang rutin diselenggarakan pada proses akademik adalah pengisian kuesioner yang dilakukan mahasiswa. Salah satu item dalam kuesioner adalah umpan balik untuk dosen dalam melaksanakan proses pembelajaran. Mahasiswa mengisi form yang sudah disediakan. Dan hasil kuesioner ini akan menghasilkan nilai kinerja dosen dari sisi kuesioner mahasiswa dengan rentang angka 0-4. Penelitian yang ini melakukan pemrosesan analisis prediksi dengan menggunakan regresi linear. Datasheet diolah sesuai dengan data-data yang diperlukan. Data yang digunakan merupakan data hasil kuesioner dari data tahun 2016-2020. Datasheet terdiri dari 7 kolom dan 800 baris. Dari datasheet akan dilakukan pemisahan data. Dari data yang ada, sebanyak 80% akan digunakan untuk data training dan data test sebanyak 20%. Metode penelitian menggunakan metode waterfall. Penelitian diawali dengan analisis sistem dengan melakukan pencarian dan pengumpulan datasheet, desain sistem dilakukan dengan pemisahan data-data yang tidak diperlukan serta koding dan implementasi. Implementasi dalam prediksi hasil kuesioner akan menggunakan Python dengan menggunakan berbagai library, diantaranya Pandas yang digunakan analisis data, Matplotlib digunakan visualisasi data dan Scikit-Learn digunakan dalam proses machine learning. Proses koding menggunakan Google Colab. Hasil penelitian menghasilkan rumus regresi linear y= 0.24743301702419157 X1+ 0.257319654680142 X2 +0.2662633268986068 X3+0.2332290731664389 X4 +9.697801443559612e-05 X5 -1.4522339706890541e-06 X6 dengan nilai koefisien adalah 0.997. Penggunaan Python dengan dukungan library memberikan kemudaham dalam implementasi machine learning khusus regresi linear.
Penerapan Aplikasi Multisim Pada Mata Kuliah Dasar Elektronika
kamal kamal;
Sukirman Sukirman;
Nur Alamsyah;
Sirwan Sirwan
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta
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Learning can be interpreted as a set of plans or patterns that can be used to design learning materials and guide learning activities as a systematic procedure in organizing learning experiences to achieve learning goals. Efforts offered by researchers to improve student learning outcomes by implementing the Multisim Application. This study aims to determine how the process of implementing multisim applications and student learning outcomes in the Basic Electronics course in the Informatics Engineering Study Program, Faculty of Engineering, Islamic University of Makassar. This research is a Quasi Experimental research. The total population is 62 people and the entire population is used as a sample.