Abstract:Abstract: The spread of the covid-19 virus that has occurred since the beginning of 2020 has prevented people from gathering. One of the impacts on the world of education is the enforcement of online lectures. By using several…
everal e-learning applications, including Classroom and Google Meet, resulted in changes in student interest in learning. Online lectures that have been running for two semesters and produce students score data can provide knowledge of student learning interests with the help of data mining rough sets and the Rosetta application which produce Rule that can be seen from the patterns of student interest in learning during online lectures, where student interest in learning becomes better for subjects that have subject matter for counting.
Keywords: data mining; interest in learning; online lectures; rough set; rough set
Abstrak: Menyebarnya virus covid-19 yang terjadi sejak awal tahun 2020 mengakibatkan pelarangan berkumpul/berkerumun, salah satu dampak pada dunia pendidikan adalah diberlakukannya perkuliahan online/e-learning. Beberapa aplikasi e-learning yang di gunakan adalah classroom dan googlemeet, hal ini tentu mengakibatkan perubahan minat belajar terhadap mahasiswa. Perubahan tersebut terekam dalam nilai dari perkuliahan online yang telah berjalan selama dua semester yang mana dapat diekstrak menjadi pengetahuan dengan bantuan data mining rough set dan aplikasi rosetta. Dengan membaca rule yang di hasilkan oleh rough set maka dapat dilihat pola dari minat belajar mahasiswa selama perkuliahan online, yang mana minat belajar mahasiswa terbagi menjadi lebih baik untuk matakuliah yang memiliki materi hitungan dan sebaliknya untuk matakuliah dengan materi teori.
Kata kunci: data mining; minat belajar; perkuliahan online; rosseta; rough set;
Abstract:Abstract: The application of information technology is currently growing so rapidly. One of them is the application of technology that can be applied in the industrial world, namely to evaluate the company's performance.…
Evaluation is a necessity for companies to move forward and develop in facing business competition. One method of evaluating that can be used objectively is extracting information through a stored database. This study intends to analyze the factors that affect profit outcomes based on profit-based data. The data will be analyzed using method Bayes. Through this method will get a pattern that affects profits. However, it is not easy to analyze data with this method because of the large amount of data that will cost a lot of time and time. So to simplify the analysis, researchers use tools in analyzing the data the results of the benefits of rapidminer software. Based on the results of the analysis carried out, rapidminer software can help and make it easier to produce probabilities to be predicted. The results of this study are from the set test conducted, the prediction of profit results can be ascertained to be achieved and the possibility of certainty is reached 0.59% and the possibility of not reaching 0.41%.
Keywords: Data Mining, Neive Bayes, Rapidminer, Benefits
Abstrak: Penerapan teknologi informasi saat ini berkembang begitu pesat. Salah satunya penerapan teknologi yang dapat diterapkan didunia industri yaitu untuk evaluasi terhadap kinerja perusahaan. Evaluasi merupakan suatu keharusan bagi perusahaan untuk terus maju dan berkembang menghadapi persaingan usaha. Salah satu cara mengevaluasi yang dapat dugunakan secara objektif yaitu penggalian informasi melalui database yang tersimpan.Penelitian ini bermaksud untuk menganalisa faktor yang mempengaruhi hasil keuntungan berdasarkan data hasil keuntungan. Data tersebut akan dianalisis menggunakan metodeneive bayes. Melalui metode ini akan mendapatkan pola yang mempengaruhi keuntungan.Namun tidaklah mudah dalam menganalisis data dengan metode ini dikarenanakan banyaknya data yang akan menghabiskan biaya dan waktu yang cukup lama. Maka untuk mempermudah analisis tersebut, peneliti menggunakan alat bantu dalam menganalisis data hasil keuntungan yaitusoftware rapidminer.Berdasarkan hasil analisis yang dilakukan, software rapidminer dapat membantu dan mempermudah menghasilkan probabilitas untuk dijadikan prediksi. Hasil penelitian ini adalah dari uji set yang dilakukan, prediksi hasil keuntungan dapat dipastikan tercapai dan kemungkinan kepastian tercapai 0,59% serta kemungkinan tidak tercapai 0,41%.
Kata Kunci : Data Mining, Neive Bayes, Rapidminer, Keuntungan
Abstract:Abstract: Fantasy Kids is a children's clothing distribution in the Bangkinang area, Kampar Regency, Riau. In its operations, distros sell their products to the general public, including the sale of children's shirts, children's…
ildren's shirts, jackets or children's sweaters which are usually sold in other distros. These distributions carry out product updates at certain events. Data Mining is the development or discovery of new information by looking for certain patterns or rules of a large amount of data expected to overcome these conditions. The method that will be used in the construction of this application is the Association Rule method with the Apriori Algorithm. Association Rule method is a procedure to find relationships between items in a specified data set. In determining a Association Rule, there is a measure of trust obtained from the results of processing data with certain calculations. Apriori Algorithm is an alternative Algorithm that can be used to determine the frequent itemset in a data set.
Keywords : Data Mining, Algoritma, Apriori, Association Rule, Sales, Distro
Abstrak: Fantasy Kids merupakan sebuah distro baju anak-anak di kawasan Bangkinang, Kabupaten Kampar, Riau. Dalam operasionalnya, distro menjual produknya kepada masyarakat umum meliputi penjualan kaos anak, kemeja anak, bag, jaket atau sweater anak yang biasa dijual di distro-distro lainnya. Distro ini melakukan pembaruan produk pada event tertentu. Data Mining merupakan pegembangan atau penemuan informasi baru dengan mencari pola atau aturan tertentu dari sejumlah data dalam jumlah besar diharapkan dapat mengatasi kondisi tersebut. Metode yang akan digunakan dalam pembangunan aplikasi ini adalah metode Association Rule dengan Algoritma Apriori. Metode Association Rule adalah suatu prosedur untuk mencari hubungan antara item dalam suatu kumpulan data yang ditentukan. Dalam menentukan suatu Association Rule, terdapat suatu ukuran kepercayaan yang di dapatkan dari hasil pengolahan data dengan perhitungan tertentu. Algoritma Apriori merupakan salah satu alternatif Algoritma yang dapat digunakan untuk menentukan himpunan data yang paling sering muncul (frequent itemset) dalam suatu kumpulan data.
Kata kunci: Data Mining, Algoritma, Apriori, Association Rule, Penjuaan, Distro
Abstract:Abstract: The human eye can distinguish objects from digital images, however, computers do not have the ability as human eyes that can directly distinguish objects from digital images. Therefore the bag of visual words method…
ethod was created. Bag of visual words is a method for presenting digital images based on local features. Bag of visual words illustrates how an image can be taken its characteristics, so that computers can distinguish objects on digital images. The test results show that the bag of visual words are still not maximal in classifying digital image categories, especially the chair category, which is only able to produce the most accurate accuracy of 75%. To improve the performance quality of bag of visual words in classifying digital image categories, especially the chair category, you can add an approach to determine the good number of K in clustering the visual words pattern.
Keywords: Bag Of Visual Words, Classification, Digital Image, Speed-Up Robust Feature, Support Vector Machine
Abstrak: Secara kasat mata manusia bisa membedakan objek pada citra digital, namun, komputer tidak memiliki kemampuan sebagai mata manusia yang dapat secara langsung membedakan objek pada citra digital. Maka dari itu diciptakanlah metode bag of visual words. Bag of visual words adalah metode untuk menyajikan citra digital berdasarkan fitur lokal. Bag of visual words menggambarkan bagaimana suatu gambar dapat diambil karakteristiknya, sehingga komputer dapat membedakan objek pada citra digital. Hasil pengujian menunjukkan bag of visual words masih belum maksimal dalam mengklasifikasi kategori citra digital khususnya kategori chair, yang hanya mampu menghasilkan akurasi paling akurat sebesar 75 %. Untuk meningkatkan kualitas kinerja bag of visual words dalam mengklasifikasi kategori citra digital khususnya kategori chair, dapat menambahkan pendekatan untuk menentukan jumlah K yang baik dalam mengkluster pola visual words.
Kata kunci: Bag Of Visual Words, Klasifikasi, Citra Digital, Speed-Up Robust Feature, Support Vector Machine
Abstract:Abstract: The library is one of the most important means to add insight and knowledge to everyone. In general, borrowing transaction data books that exist in a library are only left to accumulate by the library in the database…
tabase without any utilization or further processing of the data that has long been stored. By utilizing the Data Mining technique using association rules with FP-Growth, these data will be very useful. Because from the data lending books to the library, new information can be gleaned about what books are often borrowed and know the pattern of relationships between books that have been borrowed together so that later it can be used to compile books in accordance with the existing borrowing patterns so that they can facilitate library visitors in the process of finding books.
Keywords: Data Mining, Association Rule, FP-Growth, Library
Abstrak: Perpustakaan merupakan salah satu sarana yang sangat penting untuk menambah wawasan dan keilmuan setiap orang. Pada umumnya data transaksi peminjaman buku yang ada pada sebuah perpustakaan hanya dibiarkan saja menumpuk oleh pihak perpustakaan di dalam database tanpa ada pemanfaatan atau pengolahan lebih lanjut dari data-data yang telah lama tersimpan tersebut. Dengan melakukan pemanfaatan menggunakan Teknik Data Mining metode association rules dengan FP-Growth, data-data tersebut akan jadi sangat bermanfaat. Karena dari data peminjaman buku pada perpustakaan tersebut dapat diggali informasi baru tentang buku-buku apa yang sering dipinjam dan mengetahui pola hubungan antara buku yang telah dipinjam secara bersama-sama sehingga nantinya dapat dimanfaatkan untuk melakukan penyusunan buku sesuai dengan pola peminjaman buku yang ada sehingga dapat mempermudah para pengunjung perpustakaan dalam proses pencarian buku.
Kata Kunci : Data Mining, Asociation Rule, FP-Growth, Perpustakaan
Abstract:Abstract: One of the ways to improve the quality of high school students is to form a favorite class in which the class will be a flagship class compared to other classes. Students will be selected based on 3 variables,…
that is the attendance index, semester average score and also the ethics of the students themselves. Data mining is the mining or discovery of new information by searching for a particular pattern or rule of large amounts of data that is expected to overcome the condition, utilizing data obtained from SMA for grouping students using clustering method using single linkage technique. By using clustering method is expected to make it easier for grouping students - students who go to class XI. So the results of this study will also be used by in determining the students-students who will enter the majors class. Keywords: Data Mining, Clustering, Single Lingkage, Selection of Departments.
Abstrak: Salah satu cara untuk meningkatkan kualitas siswa sekolah menengah adalah dengan membentuk kelas favorit di mana kelas akan menjadi kelas unggulan dibandingkan dengan kelas lain. Siswa akan dipilih berdasarkan 3 variabel, yaitu indeks kehadiran, nilai rata-rata semester dan juga etika siswa itu sendiri. Data mining adalah penambangan atau penemuan informasi baru dengan mencari pola tertentu atau aturan sejumlah besar data yang diharapkan untuk mengatasi kondisi tersebut, memanfaatkan data yang diperoleh dari SMA untuk mengelompokkan siswa menggunakan metode pengelompokan menggunakan teknik hubungan tunggal. Dengan menggunakan metode clustering diharapkan akan mempermudah pengelompokan siswa - siswa yang masuk ke kelas XI. Jadi hasil penelitian ini juga akan digunakan dalam menentukan siswa - siswa yang akan masuk kelas jurusan. Kata kunci: Data Mining, clustering, single lingkage, pemilihan departemen
Abstract:Abstract: Enormous logistical needs on General Hospital Kartini range to facilitate treatment requires a system that can predict to meet those needs with the right so as not to result in advantages and disadvantages to the…
he amount of usage that is always changing every year. At this time the calculations have been carried out with the help of software that is on a high-speed computer such as Neural Networks. Neural networks are used to predict the projection Backpropogation logistics patients based on the type of drugs Analgesics, antiemetics, vitamins, Antiepileptic, Anesthesia, Anti-Parkinson, Psychotherapeutic, Corticosteroids. This logistical projection data processing using software of Matlab 6.1. After using Backpropogation finally found the best architectural pattern is 8-3-3-1 of 5 aritektur architecture that has been tested. Of the pattern is then predicted projection logistics at General Hospital Kartini range in 2014 will increase to 91 290 from 65 422 in 2013 for an increase of 25 868 (28.33%).
Keywords: neural networks, backpropagation algorithm, projection logistics, matlab
Abstrak: Kebutuhan logistik yang sangat besar pada Rumah Sakit Umum Ibu Kartini Kisaran untuk memperlancar pengobatan membutuhkan suatu sistem yang bisa memprediksi untuk memenuhi kebutuhan tersebut dengan tepat agar tidak mengakibatkan kelebihan dan kekurangan terhadap jumlah pemakaian yang selalu berubah setiap tahunnya. Pada saat ini proses perhitungan telah banyak dilakukan dengan bantuan software-software yang ada pada komputer yang berkecepatan tinggi seperti Jaringan Saraf Tiruan. Jaringan Saraf Tiruan Backpropogation digunakan untuk memprediksi proyeksi logistik pasien berdasarkan jenis obat Analgetik, Antiemetik, Vitamin, Antiepilepsi, Anestesi, Anti Parkinson, Psikofarmaka, Kortikosteroid. Pengolahan data proyeksi logistik ini menggunakan software Matlab 6.1. Setelah menggunakan Backpropogation akhirnya ditemukan pola arsitektur yang terbaik yaitu arsitektur 8-3-3-1 dari 5 arsitektur yang telah diujikan. Dari pola tersebut kemudian diprediksi proyeksi logistik di Rumah Sakit Umum Ibu Kartini Kisaran pada tahun 2014 akan meningkat menjadi 91290 dari tahun 2013 sebesar 65422 atau meningkat sebesar 25868 (28,33%).
Kata Kunci: jaringan saraf tiruan, algoritma backpropagation, proyeksi logistik, matlab
Abstract:Cayenne pepper (Capsicum frutescens L.) is a horticultural commodity with high economic value and continuously increasing market demand. The success of cayenne pepper production is largely determined by vegetative growth…
in the early stages, which is influenced by the availability of nutrients and plant growth regulators. The use of manure as a source of organic matter and natural Plant Growth Regulators (PGRs) is expected to enhance vegetative growth. This study aimed to determine the effect of manure application and natural PGRs on the vegetative growth of cayenne pepper and to identify the treatment that produces the best growth.The research was conducted from December to January 2026 at the land of the Kopbun Suka Tani Sejahtera Business Research Center, Kota Juang District, Bireuen Regency. The study used a factorial Randomized Block Design (RBD) with a 4 × 3 pattern and three replications. The first factor was the dosage of manure consisting of 0 kg (control), 1 kg, 1.5 kg, and 2 kg per plant. The second factor was the type of natural PGR, consisting of shallot extract, rice water, and coconut water. The observed parameters included plant height, number of leaves, leaf width, and number of branches at 15, 30, and 45 days after planting (DAP). Data were analyzed using the F-test and continued with the Honestly Significant Difference (HSD) test at a 5% significance level if the results were significant.The results showed that manure application had no significant effect on all vegetative growth parameters up to 45 DAP. The application of natural PGRs also showed no significant effect at 15, 30, and 45 DAP, as well as on other parameters. There was no significant interaction between manure and natural PGRs on all observed parameters.
Abstract:The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions…
teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.
Abstract:This study aims to examine in depth the application of neuroplasticity principles in learning at elementary schools, focusing on the teaching practices of five teachers at SDS Dharma Putra. Neuroplasticity, as a core concept…
cept in neuroscientific learning, describes the brain's ability to form, strengthen, or modify neural networks through experience, repetition, meaningful activities, and students' emotional involvement. Given the characteristics of elementary school students who are at a stage of cognitive development that is highly responsive to learning environment stimulation, a study of the application of neuroplasticity by teachers is important to ensure that the learning process is in line with the brain's working mechanisms.This study used a neuropsychological instrument measuring the dimensions of neuroplasticity to assess four main indicators, namely repetition & practice, dedicated time for review, use of interactive activities, and contextual learning that connects the material to students' real experiences. The data was reinforced through in-depth interviews and thematic analysis of the learning strategies applied by each teacher. The results showed variations in application between teachers. Some teachers showed strong implementation in interactive activities and contextual learning (score of 5), while structured repetition showed lower consistency (score of 3). The interview findings reinforced the instrument results by showing patterns of strategies such as the use of inspirational stories, educational games, quizzes with prizes, conveying the benefits of learning, and scaffolding through easy material as a starting point. This study concludes that the application of neuroplasticity principles is present in teachers' teaching practices, although the level of depth and routine still needs to be strengthened. The theoretical implication confirms that learning that integrates positive emotions, collaborative activities, planned repetition, and contextualization of material has the potential to have a significant impact on the formation of students' neural networks. Practically, this study provides recommendations for strengthening neuroscientific learning-based instructional design as an effort to optimize the learning process of elementary school students.