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<![CDATA[Perancangan Pembelajaran Media Animasi (Studi Kasus SD Negeri 22 Rantau Utara) Dengan Menggunakan Adobe Flash ]]>
<![CDATA[Hutagalung, Devi lestari]]>;
<![CDATA[Masrizal, Masrizal]]>;
<![CDATA[Irmayanti, Irmayanti]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6030
<![CDATA[Dalam era digital seperti sekarang adalah zaman yang maju. Dalam kemajuan tersebut didukung oleh teknologi yang berkembang pesat. Komputer dapat digunakan sebagai sarana pembelajaran yang menarik dan interaktif, sehingga dapat meningkatkan minat dan antusias peserta didik. Media pembelajaran berbasis komputer dapat menyajikan materi pembelajaran secara visual dan audio yang lebih menarik dan mudah dipahami. Selain itu, media pembelajaran berbasis komputer juga dapat memberikan umpan balik secara langsung kepada peserta didik, sehingga dapat membantu siswa untuk memahami materi pembelajaran dengan lebih baik , tempat penelitian SDN 22 Rantau Utara merupakan salah satu sekolah Dasar Negeri di daerah Pulo Padang yang beralamat di Pasir Tinggi, kecamatan rantau utara kabupaten labuhanbatu sumatra utara. SDN 22 Rantau Utara. Penelitian ini menggunakan Adobe Flash sebagai aplikasi perancangan animasi pengenalan huruf dan angka.]]>
<![CDATA[Penerapan Data Mining Untuk Evaluasi Data Penjualan Menggunakan Metode Clustering Dan Agoritma Hirarki Divisive Studi Kasus Toko Sembako Pujo ]]>
<![CDATA[Febriyanti, Ade Eka]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Masrizal, Masrizal]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6161
<![CDATA[The larger a company, the longer the company stands, the more companies have branches, of course, the greater the data owned. These data can be consumer data, purchase data, sales data, payroll data, and many other data. All data will usually be stored in a database. But many companies, even the Information Technology (IT) division, do not realize how valuable the pile of old data generated by the company in transactions and activities. Data mining is the study of methods for generating knowledge or finding patterns for processing data. So it's not just information, it's knowledge. Data Mining has several methods including clustering. Clustering is a well-known and widely used method in data mining. The main purpose of this clustering method is to Group a number of data/objects into clusters (groups) so that the cluster will contain the same data as each group. In this study, Divisive hierarchy algorithm is used to form clusters. From the pattern obtained is expected to provide knowledge for the company Media World Pekanbaru as a supporting tool to take policy.]]>
<![CDATA[Analisis Minat Masyarakat Menggunakan Media Sosial Menggunakan Algoritma C4.5 dan Metode Naïve Bayes ]]>
<![CDATA[Panjaitan, Nia Putri]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Ah, Rahma Muti]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6156
<![CDATA[The analysis of public interest using social media in data mining aims to understand user preferences and interests in various topics or products. By analyzing data from social media platforms, such as posts, comments, and interactions, researchers can identify significant interest patterns and trends, which can be used for more effective marketing strategies or product development that suits the public's desires. Common methods used in this analysis are the C4.5 and Naive Bayes algorithms. The C4.5 algorithm builds a decision tree that makes it easy to visualize and interpret the main factors that influence public interest. Meanwhile, Naive Bayes, with its probabilistic approach, classifies data based on existing features, providing fast and accurate predictions. Both methods are applied to process data from social media and produce in-depth insights into user preferences. The results of the analysis show that the prediction and classification of public interest have good accuracy, with the comparison result values showing very satisfactory performance. Both are able to identify and classify interests accurately, utilizing the advantages of each method to provide a better understanding of what is interesting to the public on social media.]]>
<![CDATA[Rancang Bangun Purwarupa Monitoring Arus Bocor Pada Kabel Grounding Trafo Incoming 20 KV di Gardu Induk Nusa Dua Berbasis Internet Of Things ]]>
<![CDATA[Saputra, Dharma Bagus]]>;
<![CDATA[Pradana, Aditya]]>;
<![CDATA[Togatorop, Josua Febrian]]>;
<![CDATA[Jasa, Lie]]>;
<![CDATA[Hartati, Rukmi Sari]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.5998
<![CDATA[Failure of the grounding isolation on the 20 kV transformer incoming cable, resulting in leakage current. The leakage current on the grounding cable can change periodically, so an accurate and real-time monitoring system is required to protect the power transformer equipment and facilitate responsive handling. Therefore, an Internet of Things-based monitoring device is needed that can detect the magnitude of the leakage current present on the 20 kV secondary side of the transformer using an ESP8266 microcontroller and Arduino UNO R3 as the brain of the monitoring system, which controls and processes data from the input to output components. The SCT-013 current sensor is used to measure the AC current on the transformer incoming 20 kV grounding cable without requiring cable cutting, and the Arduino IDE is used to configure the program on the ESP8266 microcontroller to work according to the desired configuration. The results of the prototype testing using the ESP826 and Arduino UNO R3 microcontrollers and the SCT-013 current sensor have shown that the system can work well and the monitoring has been successfully implemented with real-time current monitoring using the Thinkspeak and Blynk platforms. The testing also proved that the SCT-013 current monitoring device can provide a comparison of the test results and measurements with a Tang Ampere, and the data obtained shows that the real-time SCT-013 current monitoring device is accurate, with an average reading error of less than 3% from the SCT-013 non-linearity specification, with a total reading error percentage of 2.0%. Additionally, the current monitoring device is precise, with the lowest standard deviation value of 0.046.]]>
<![CDATA[Implementasi Data Mining Menggunakan Metode Algoritma FP-Growth Dan Algoritma Apriori Pada Toko IBR Jaya Untuk Meningkatkan Penjualan ]]>
<![CDATA[Naibaho, Restu Fauzy]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Juledi, Angga Putra]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6128
<![CDATA[Dian trading business is one of the grocery stores engaged in buying and selling the main household needs of nine basic ingredients which have been doing a lot of grocery sales transactions. This transaction Data continues to grow every day and in the IBR Jaya store sales transaction data is only presented as an archive or report and it is not mentioned what the benefits of these data are. Nah, the problem at the IBR Jaya store is the improvement of improvements due to the shortage of basic food stocks that are often purchased by consumers are not available which results in improvements and usability improvements then the FP-Growth algorithm is used to analyze patterns of improvement and a priori algorithms for comparison through archived transaction data goods that will be purchased later as a reference to increase food stocks so as to increase sales at the IBR Jaya Food Store in the hope that this increase can help this is one of many ways to make money online. Association rules are a process in Data Mining to establish all associative policies that meet the minimum requirements for support (minsup) and trust (minconf) in a database . In association rules, there are 2 methods that can be used, namely a priori method and FP-Growth method. In this study the method used is FP-Growth algorithm and a priori algorithm, FP-Growth algorithm and a priori method is a method to find the most frequently appearing data set (frequent itemset) without using candidate generation that is suitable to analyze a data transaction.]]>
<![CDATA[Sistem Informasi Kepegawaian Pada Kantor Kecamatan Rambah Samo Berbasis Framework Laravel Fakultas Ilmu Komputer Universitas Pasir Pengaraian ]]>
<![CDATA[Dona, Dona]]>;
<![CDATA[Rifqi, Mi’rajul]]>;
<![CDATA[Elfina, Yulia]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6088
<![CDATA[Promotion is an award given for work performance and dedication. Promotions must be given in a timely manner and to the right person. Promotions are given to civil servants at a higher level if concerned. At least 4 years late in the last level. The existing system at the Rambah Samo sub-district office, even though they are already using a computer, but for the process of completeness of files which often results in problems that arise related to promotion. that rank. problems that occur such as the number of employees who do not understand what files are proposed even though each period of the BKPP Kab. Rokan Hulu always sends letters regarding what files are prepared, many proposals are rejected because the period has not been calculated (not enough months). The programming language used in designing and implementing a personnel information system at the Rambah Samo District Office is PHP and the database used is MySQL. The results of research at the Rambah Samo District office, it can be concluded that this system is expected to assist the Rambah Samo District Office in managing promotion data and personnel data.]]>
<![CDATA[Implementasi Metode Naive Bayes dan Neural Network Untuk Menentukan Minat Masyarakat Pada Handphone Samsung ]]>
<![CDATA[M, Nelvi Nurrizqi]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Irmayanti, Irmayanti]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6163
<![CDATA[Naive Bayes and Neural Network methods are used in analyzing people's interest in Samsung mobile phones to gain a better understanding of consumer preferences. Naive Bayes is a simple but very effective probability-based classification method. This method generates possible consumer interests by analyzing features such as price, specifications, and brands, and calculating the probability of different categories. Naive Bayes is very useful in situations where data has independent features, and can provide accurate results at high speed. By identifying patterns of people's preferences, this method can help Samsung adjust marketing and product strategies that are more in line with consumer needs. On the other hand, Neural Network offers more complex analytical capabilities by imitating the way the human brain works through a network of neurons. This method is used to process larger and more complex data in understanding consumer interest patterns in Samsung mobile phones. Neural Network can identify deeper relationships between various factors, such as the interaction between camera features and user needs, using deep learning processes. The purpose of using Neural Network is to capture nuances and trends that cannot be identified with simple methods, thereby providing a more comprehensive view of what drives consumer interest. The use of these two methods of analysis in public interest in Samsung mobile phones has provided very satisfactory results. The calculation values obtained from both methods show a high level of accuracy in the classification of consumer interest. The results of this analysis provide valuable insights for Samsung in understanding consumer preferences and needs, as well as helping the company in designing more effective products and marketing strategies. Thus, the combination of the use of Naive Bayes and Neural Networks not only provides stron g results, but also provides a more holistic approach to consumer data analysis.]]>
<![CDATA[Analisis Sistem Informasi Pengelolaan Data Alumni MAN Labuhanbatu Berbasis Codeigniter PHP Framework ]]>
<![CDATA[Hasibuan, Muhammad Adlin]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Nasution, Marnis]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6157
<![CDATA[Alumni data management information system is a platform designed to manage and maintain alumni data effectively and efficiently. This system makes it easy for educational institutions to collect, store, and manage information about their graduates, such as personal data, education history, career, and their contribution to the alumni community. Using database technology and specialized software, the system enables fast data retrieval, organized data storage, and real-time monitoring of alumni activities. The existence of this information system also helps in maintaining good relations between institutions and alumni, as well as supporting alumni programs such as reunion events, networking, and career development. In addition, the alumni data Management Information System serves as a strategic tool in improving the quality and reputation of educational institutions. Research on alumni data management information system analysis using the CodeIgniter PHP framework as a programming language is interesting to do. CodeIgniter PHP Framework is known as one of the lightweight and efficient frameworks in web application development, so it can provide advantages in managing complex alumni data.]]>
<![CDATA[Utilizing FP-Tree and FP-Growth Algorithms for Data Mining on Medicine Sales Transactions at Khanina’s ]]>
<![CDATA[Ardiansyah, Rizaldi]]>;
<![CDATA[Harahap, Syaiful Zuhri]]>;
<![CDATA[Ah, Rahma Muti]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.5999
<![CDATA[Although Khanina Pharmacy is a growing pharmacy with a lot of processes, the data processing is still done by hand. This study examines the use of the FP-Tree and FP-Growth algorithms to the medication sales transaction system. The FP-Tree and FP-Growth algorithm methods use methods or strategies to choose data in order to identify trends or intriguing details. The FP-Tree and FP-Growth algorithm approaches are two frequently used techniques in data mining. The purpose of this medicine sales transaction data is to identify concurrently purchased products. The FP-Growth Algorithm is used to find item pattern combinations. Use of FP-Tree to identify frequently occurring itemsets from a database in combination with the FP-Growth algorithm. When searching for product attachment patterns for sales tactics in decision-making rules, the Association Rule method is employed. In order to determine which medications are frequently bought by customers, we can create rules using the data in the database. The Rapidminer 5 program was used to conduct the test. This test yielded the following results: the number of itemsets created and rules constructed increased with decreasing support values.]]>
<![CDATA[Grouping Student Achievement Data In A Decision Making System Using The Weight Product Method ]]>
<![CDATA[Sari, Adinda Puspita]]>;
<![CDATA[Masrizal, Masrizal]]>;
<![CDATA[Ah, Rahma Muti]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6134
<![CDATA[Information, modeling, and data manipulation systems are called decision support systems (DSS). When there is uncertainty about the best course of action in semi-structured or unstructured situations, the system is utilized to support decision-making. There are various approaches available for producing decision support systems, one of which is the Weighted Product (WP) Method. With the Weighted Product (WP) approach, attribute ratings are connected by multiplication; however, each attribute's rating must first be increased to the power of the attribute's weight. The normalizing process is same to this one. SPK procedure to choose the winners of the scholarships. Scholarship information from MTS Swasta Alwasliyah Simpang Merbau can be saved in the Decision Support System using this method. This way, in the event that an error arises when entering grades or scholarship information, the wrong information can be fixed without requiring the scholarship information to be re-input. Scholarships are presents to individuals in the form of financial aid intended to be utilized toward their ongoing educational pursuits.]]>
