Articles
<![CDATA[Analysis of the Neural Network Method to Determine Interest in Buying Pertamax Fuel ]]>
<![CDATA[Sari, Mayang]]>;
<![CDATA[Yanris, Gomal Juni]]>;
<![CDATA[Hasibuan, Mila Nirmala Sari]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i2.12292
<![CDATA[Fuel is one of the needs that is used by the community as a material to be used on motorcycles or cars. Fuel has become an important need for society, because when there is no fuel, a motorbike or car that is owned by someone cannot be used. Each vehicle has its own fuel, for motorbikes the fuel is pertalite, Pertamax, Pertamax Turbo and for cars the fuel is diesel and dexlite. For the fuel used in motorbikes, there are some people who are interested in Pertalite fuel and there are not many people who are interested in Pertamax fuel. So researchers will make a study of public interest in Pertamax fuel. This research will be made using the neural network method by classifying community data in data mining. This study aims to see the public's interest in purchasing Pertamax fuel. The research process was carried out with the initial stages of collecting and selecting data to be used, then preprocessing, then designing the neural network method and finally the testing process to obtain classification results using the neural network method. The results obtained from data classification using the neural network method state that there are 23 people who are interested in Pertamax fuel and 18 people who are not interested in Pertamax fuel. It turns out that many people are interested in Pertamax fuel.]]>
<![CDATA[Implementation of the Naïve Bayes Method to determine the Level of Consumer Satisfaction ]]>
<![CDATA[Hasibuan, Fitri Febriyani]]>;
<![CDATA[Dar, Muhammad Halmi]]>;
<![CDATA[Yanris, Gomal Juni]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i2.12349
<![CDATA[Satisfaction is a feeling of pleasure at something you like, you get it from goods and services. Satisfaction becomes an important assessment when someone sells goods or services. This is because satisfaction will be an assessment of the goods purchased by consumers or services that will be received by consumers. Therefore the authors make research about the level of consumer satisfaction in shopping. This research was made using the Naïve Bayes method and used consumer data as sample data which used 49 consumer data. By using the Naïve Bayes method, this study aims to see the level of consumer shopping satisfaction, it is made to see the results of a consumer's satisfaction, sometimes there are some consumers who are dissatisfied with the reason the product is not good and some are satisfied with the reason the product is still new and good. Therefore this research was made. This research was conducted using the naïve Bayes method with the first stage being data analysis, then data preprocessing, then naïve Bayes algorithm and finally system testing. After system testing is carried out, classification results will be obtained using the naïve Bayes method. Classification results stated that as many as 47 consumers were satisfied shopping and as many as 2 consumers were not satisfied shopping. The conclusion is that a lot of consumers are satisfied with shopping, meaning that the place is very good and liked by many consumers.]]>
<![CDATA[Analysis of Public Interest in Telkomsel Cards Using the Decision Tree Method ]]>
<![CDATA[Cantika, Putri Talia]]>;
<![CDATA[Yanris, Gomal Juni]]>;
<![CDATA[Hasibuan, Mila Nirmala Sari]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i2.12371
<![CDATA[SIM card (Subscriber Identification Module) card is a physical electronic device that is the integrated circuit of the internet. Sim cards are used by the public as a place to store quotas for internet, phone calls and SMS. There are many types of SIM cards that are used by the public, such as Telkomsel cards, XL cards, Exis cards and Smartfren cards. There are some people who are interested and use Telkomsel cards, because the network is good. But there are some people who don't use Telkomsel cards, because the quota price is quite expensive. Therefore, the Penlus will make research about people's interest in Telkomsel cards. This study aims to determine the amount of public interest in the Telkomsel card. To conduct this research, the authors used 42 community data which would be classified using the decision tree method. The data used by the author was obtained by distributing a questionnaire to the public. After classifying using the decision tree method, the result is that the people who are interested in the Telkomsel card are 33 people who are interested in the Telkomsel card (for the representation results it is 78.5%) and the results obtained are that the people who are not interested in the Telkomsel card are 9 people (for its representation results of 21.4%). From the results of the study, many people are interested in Telkomsel cards, even though the internet, call and SMS quota prices are quite expensive.]]>
<![CDATA[Analysis of Public Purchase Interest in Yamaha Motorcycles Using the K-Nearest Neighbor Method ]]>
<![CDATA[Triani, Diana Juni]]>;
<![CDATA[Dar, Muhammad Halmi]]>;
<![CDATA[Yanris, Gomal Juni]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i3.12433
<![CDATA[This data mining will carry out a classification of people who are interested and not interested in buying Yamaha motorcycles. In the data mining process, a method is needed that can provide goals to the data mining process. That's because there are many data mining methods that can be used. In this study the method that will be used by the author is the K-Nearest Neighbor (kNN) method. This method will be used to classify people's buying interest in Yamaha motorbikes. This research was conducted because there are some people who say that Yamaha motorbikes are not good, use of wasteful fuel. Therefore this research was conducted to prove this statement. So a research was made about people's buying interest in Yamaha motorbikes. Classification results obtained from 100 community data. From the classification process that has been carried out, the results show that 41 community data (41% representation) are interested in buying Yamaha motorcycles and 59 community data (59% representation) are not interested in buying Yamaha motorbikes. The results obtained state that there are still many people who are interested in Yamaha motorbikes. But it can be used as a reference that people are interested in motorbikes that have a good appearance, use economical fuel and are affordable. These results were obtained from the community's answers in the questionnaire, they were interested in motorbikes that use little fuel, have good designs and are affordable.]]>
<![CDATA[Implementation of Data Mining for Data Classification of Visitor Satisfaction Levels ]]>
<![CDATA[Arfi Pratama, Hubban]]>;
<![CDATA[Yanris, Gomal Juni]]>;
<![CDATA[Hasibuan, Mila Nirmala Sari]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v8i3.12674
<![CDATA[An amusement park is a location or place that can provide a special attraction to the public. This is because in amusement parks there is lots of entertainment provided. But not all amusement parks are liked by visitors, usually because the location is still not good enough. Therefore the authors make a study of the level of visitor satisfaction. This research was made so that the writer can determine whether or not the number of visitors is satisfied at the amusement park. To conduct this research, the authors used 2 methods with a classification model in data mining. The methods used are the K-Nearest Neighbor (kNN) method and the Naïve Bayes method. Study this is done using 100 visitor data. The classification results obtained from both methods give the same results. The results obtained were 77 satisfied visitor data at amusement parks and 23 dissatisfied visitors at amusement parks. The result of the two methods used is that many visitors are satisfied with the amusement park. The accuracy results obtained are also very good. This means that these two methods are very suitable to be used as a method with a classification model. The conclusion is that the amusement park has beauty and a great location that can give attraction to visitors. With this research it can be a reference that the K-Nearest Neighbor (kNN) method and the Naïve Bayes method are very suitable for carrying out a data classification.]]>
<![CDATA[Penerapan Metode KNN untuk Menentukan Minat Calon Mahasiswa ]]>
<![CDATA[Riyanto, Tiara]]>;
<![CDATA[Yanris, Gomal Juni]]>;
<![CDATA[Hasibuan, Mila Nirmala Sari]]>
<![CDATA[ Jurnal Informatika Vol 12, No 3: INFORMATIKA ]]>
Publisher : <![CDATA[Fakultas Sains & Teknologi, Universitas Labuhanbatu ]]>
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DOI: 10.36987/informatika.v12i3.6153
<![CDATA[This study focuses on the implementation of data mining to determine the interests of prospective male and female students in the Informatics Management Department using the K-Nearest Neighbors (KNN) method. The analysis process is carried out through the Knowledge Discovery in Databases (KDD) stages, which include data selection, pre-processing, transformation, data mining, and pattern evaluation. The KDD stage ensures that the data used has been prepared and processed properly to produce an accurate and relevant model. The KNN method is used to classify sample data consisting of 82 prospective male and female students. The results of this study indicate that 63 out of 82 prospective students are interested in the Informatics Management Department, while 19 other prospective students are not interested. This classification process shows that the KNN method is able to identify the interests of prospective students with a high level of accuracy, providing useful information for universities in understanding the preferences of their prospective students. Evaluation of the research results using two evaluation tools, namely Test and Score and Confusion Matrix, showed perfect results with an accuracy of 100%. Both of these evaluation tools are consistent in assessing the performance of the KNN model, confirming that this model works very well in classifying prospective student interests. In conclusion, the KNN method is proven to be effective and reliable in determining prospective students' interest in the Informatics Management Department, providing a strong foundation for similar applications in the future.]]>
<![CDATA[Analysis Of Student Satisfaction Level In The Faculty Of Science And Technology Using The Convolution Neural Network Method ]]>
<![CDATA[Martua , Rifki Agus]]>;
<![CDATA[Irmayani , Deci]]>;
<![CDATA[Yanris, Gomal Juni]]>
<![CDATA[ International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024 ]]>
Publisher : <![CDATA[Publisher Cv. Inara ]]>
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DOI: 10.46729/ijstm.v5i5.1178
<![CDATA[The Faculty of Science and Technology at Labuhanbatu University is one of the leading faculties that focuses on the development of science and technology. This faculty offers various study programs designed to prepare students to face the challenges of the digital era and industrial revolution 4.0. This research, using survey and interview methods, aims to collect accurate and objective data regarding student perceptions and experiences in various aspects, such as the quality of educational services, quality of teaching, and available supporting facilities such as extracurricular activities, seminars and research projects, ease of access. information and academic support from optimal staff and teaching staff.]]>
<![CDATA[A Student Presence System and Its Development to the Internet of Things A Literature Review ]]>
<![CDATA[Yanris, Gomal Juni]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v1i4.505
<![CDATA[Presence is one of the inherent aspects of the students. The presence system conducted in kindergarten Nurul Huda Kotapinang still uses a conventional system in the form of absent notes or books. This is considered less efficient because the data written by the teacher on the students still use the Presence book that is vulnerable to damage due to exposure to water and destructive things. Based on the background of the problems faced by teachers in kindergarten Nurul Huda Kotapinang, the authors designed the information system for students. This system is designed using Visual Basic .Net. In contrast, the programming language used is VBsrift and MySQL database. This system is designed and built to facilitate the delivery of information. The primary purpose of this system is to make it easier for teachers to attend to their students. It can be concluded Development Information System Presence can replace the confessional way previously used in kindergarten Nurul Huda Kotapinang into Student Presence Information Systems Based Visual Basic. As a development, this present system was modified in its programming language to produce a platform that is compatible with the Internet of Things Technology.]]>
<![CDATA[Penentuan Tumbuh Kembang Balita Dengan Pengimplementasian Metode Simple Multi Atribute Rating Technique (SMART) ]]>
<![CDATA[Mega, Mega]]>;
<![CDATA[Yanris, Gomal Juni]]>;
<![CDATA[Sihombing, Volvo]]>
<![CDATA[ MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 1 ]]>
Publisher : <![CDATA[LPPM UNIKA Santo Thomas Medan ]]>
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DOI: 10.54367/means.v6i1.1249
<![CDATA[Status gizi balita merupakan faktor penting dalam upaya menurunkan angka kematian anak. Perkembangan gizi masyarakat dapat dipantau melalui hasil pencatatan dan pelaporan program perbaikan gizi masyarakat yang tercermin dari hasil penimbangan bayi dan balita setiap bulan di Pos Pelayanan Terpadu (Posyandu), dimana upaya tersebut bertujuan untuk menjaga dan meningkatkan kesehatan serta mencegah dan menanggulangi timbulnya masalah kesehatan masyarakat khususnya yang ditujukan pada balita. Namun dalam melaksanakan kegiatan pelayanan kesehatan Tenaga Medis, dihadapkan pada permasalahan penting yaitu masih sulitnya dalam memberikan informasi terkait hasil pemantauan tumbuh kembang balita, karena informasi tumbuh kembang bayi yang dimiliki diperoleh dari pendataan yang dilakukan secara manual seperti; membuat catatan dan perhitungan untuk mengetahui kondisi balita yang dinyatakan baik, kurang, atau buruk. Penerapan metode SMART pada tumbuh kembang Balita, metode ini dapat digunakan berdasarkan bobot dan kriteria yang telah ditentukan. Kriteria yang digunakan didasarkan pada kriteria penilaian indeks Antropometri. Hasil analisis tersebut merupakan hasil pemeringkatan nilai terbesar untuk dijadikan bahan dalam proses pengambilan keputusan. metode ini dapat digunakan berdasarkan bobot dan kriteria yang telah ditentukan. Kriteria yang digunakan didasarkan pada kriteria penilaian indeks Antropometri. Hasil analisis tersebut merupakan hasil pemeringkatan nilai terbesar untuk dijadikan bahan dalam proses pengambilan keputusan. metode ini dapat digunakan berdasarkan bobot dan kriteria yang telah ditentukan. Kriteria yang digunakan didasarkan pada kriteria penilaian indeks Antropometri. Hasil analisis tersebut merupakan hasil pemeringkatan nilai terbesar untuk dijadikan bahan dalam proses pengambilan keputusan.]]>
<![CDATA[Analisis Minat Konsumen Terhadap Produk Makanan Pada Mie Gacoan Menggunakan Algoritma Decision Tree (Studi Kasus Mie Gacoan Rantau Prapat) ]]>
<![CDATA[Harahap, Ismalya Wahyuni]]>;
<![CDATA[Nasution, Fitri Aini]]>;
<![CDATA[Yanris, Gomal Juni]]>
<![CDATA[ Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025 ]]>
Publisher : <![CDATA[Universitas Labuhanbatu ]]>
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DOI: 10.36987/jcoins.v6i3.7973
<![CDATA[This study was conducted to analyze consumer interest in Mie Gacoan Rantau Prapat using a Decision Tree-based classification method. This analysis aims to determine the most influential factors in determining consumer interest in the food product. The theoretical basis used is the concept of data mining with classification techniques, where Decision Tree was chosen because of its ability to produce easy-to-understand models. In addition, theories regarding model evaluation such as accuracy, precision, and recall are also used to measure the performance of the built classification. This research methodology includes collecting data from 100 consumer entries which are then divided using the Split Data feature in RapidMiner with a ratio of 60:40, resulting in 40 training data and 60 testing data. The classification process is carried out using the Decision Tree algorithm, while evaluation is carried out with the performance operator to assess the model results. The classification results show that cleanliness is a major factor in determining consumer interest, where the number of consumers in the Interest category is more dominant than the No Interest category. The model evaluation yielded an accuracy of 73.33% with a precision of 73.47% in the Interested class and 72.73% in the Not Interested class, as well as a recall of 92.31% in the Interested class and 38.10% in the Not Interested class. In conclusion, the classification model developed is able to provide a picture of consumer interest patterns with a fairly good level of accuracy. These results can be a strategic reference for Mie Gacoan to improve service quality and cleanliness as the main factors determining consumer interest.]]>
