Abstract:Education plays an important role in improving the quality of human life, but economic constraints often prevent many students from continuing their education. The Smart Indonesia Program (PIP) was launched to address these…
ese issues by providing educational assistance. However, in its implementation, the selection of PIP recipients at IT Al-Ikhsan Private Junior High School is still inaccurate. This research aims to classify the eligibility of PIP recipients using the Naive Bayes method. This method is applied to student data from the school's Dapodik in 2024 which consists of 265 students. The data is processed through CRISP-DM data mining stages, namely Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. As a result, the Naive Bayes model showed an accuracy of 92.31% with a precision value for the “Yes” class of 89%, recall 100%, and F1-score 94%. In conclusion, variables such as means of transportation, KPS and KIP recipients, parents' income, and distance from home to school affect the eligibility of PIP recipients.
Abstract:The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement…
ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.
Abstract:Graduation marks the completion of a certain level of schooling. This study aims to predict the graduation of students at SDN 016528 BP Mandoge based on their abilities. The goal of this research is to reduce the rate of…
student failure to graduate by making predictions based on examination scores collected by the institution. The method used in this study is Naive Bayes, a technique in Data Mining that utilizes probability and statistics to predict future outcomes based on previous data. This method was chosen due to its advantage in predicting graduation rates from concrete data, ensuring the results are reliable and applicable for future predictions. The dataset used in this study includes graduation data for SDN 016528 BP Mandoge students for the 2019/2020 academic year, comprising 171 students, with 120 students used for training data and 51 students for testing data, achieving a model accuracy of 98%.
Abstract:Everbright has become one of the distributing companies selling various products, one of which is the Dettol product. In optimizing the stock and marketing of Dettol products, the company faces difficulties in identifying…
g the best-selling products and those less favored by customers. This research data originates from the sales transaction data of Dettol soap in November, comprising 77 sales data. Through the use of data mining, particularly the K-means Clustering method, it becomes a relevant approach to solving this issue. The objective of this research is to avoid excess inventory that remains unsold while meeting the diverse needs of customers. The results of this study show the visualization of the distribution of Dettol soap product clusters and grouping based on sales levels. There were 21 best-selling item data, 31 well-selling item data, and 25 less popular item data, enabling the company to manage inventory based on the best-selling items.
Abstract:The Self-Help Housing Stimulant Assistance (BSPS) is a government house renovation program aimed at low-income communities. This program aims to enhance self-sufficiency in construction and improve the quality of houses,…
facilities, infrastructure, and public utilities through the principle of mutual cooperation. BSPS recipients must meet several criteria, such as income, house ownership status, house size, floor type, wall type, roof type, and water source. To address issues based on these criteria, Data Mining techniques using the Naive Bayes method were employed. This study utilized a dataset of BSPS recipients in Air Genting Village, Air Batu Sub-district, comprising 88 samples. The classification results from applying Naive Bayes yielded a precision value of 84%, a recall value of 81%, an F1-score of 82%, and an accuracy of 81%. The objective of this research is to facilitate the classification of eligible and rightful recipients of government assistance in the form of BSPS. The results of this study are expected to provide an alternative solution in determining BSPS recipients in Air Genting Village, Air Batu Sub-district
Abstract:The use of smartphones in Indonesia has been steadily increasing each year. In the era of the Fourth Industrial Revolution, smartphones have become a lucrative business sector, leading to intense market competition. Consequently,…
equently, smartphone companies must pay closer attention to the market segmentation desired by consumers. Data mining is the process of discovering significant relationships and patterns by analyzing large datasets using statistical and mathematical techniques. This study aims to identify and analyze the market segments of Android smartphone users among students at STMIK Royal. The data used in this research were collected from 122 student respondents. The study employs clustering using the K-means algorithm. The resulting data modeling will categorize market segments into several clusters. This segmentation yields three clusters: Cluster 1 (features), consisting of 36 respondents who prioritize price, battery, camera, and warranty; Cluster 2 (product), with 49 respondents who value all attributes except warranty; and Cluster 3 (superiority), comprising 37 respondents who prioritize camera, brand, and RAM.
Abstract:Efficient queue management is a major challenge in public services, including in Cibeunying District. Traditional manual systems often lead to unorganized queues, long waiting times, and public dissatisfaction. This study…
y aims to design and implement a more modern and structured technology-based queue numbering system. The system is designed as a web-based application that allows users to take queue numbers directly on-site or via mobile devices. Additionally, the system is equipped with an automatic call feature, where if a number is not present after two calls, the next number is automatically called. The implementation results show that this system can improve service efficiency, reduce waiting times, and provide a more convenient experience for the community. With this system, the Cibeunying District can significantly optimize the quality of its public services.
Abstract:The advancement of information technology has influenced human perspectives and lifestyles, as well as organizational operations. RT/RW Net provides a cost-effective solution for delivering internet network services, especially…
ecially in areas that are difficult to reach by conventional internet networks, such as Dusun VI Persaguan, Desa Aek Nagali. The development of RT/RW Net networks involves underlying factors and methods used for its implementation. This network development employs Mikrotik for network access and bandwidth management, requiring equipment such as FO cables for network transmission, routers as network transmitters, and towers as supports for devices capturing the central network. The stages of developing the RT/RW Net network in Dusun VI Persaguan, Desa Aek Nagali include: determining the network access area from the RT Net server location, identifying the necessary equipment, configuring Mikrotik, and testing the implemented network.
Abstract:Epilepsi anak membutuhkan tata laksana farmakologis jangka panjang yang bertujuan menurunkan frekuensi kejang dengan efek samping seminimal mungkin. Terapi antikejang tunggal umumnya dipilih sebagai strategi awal karena…
regimen lebih sederhana, evaluasi respons lebih jelas, dan risiko interaksi obat lebih rendah. Namun, sebagian anak tetap mengalami kejang meskipun telah mendapat terapi awal yang adekuat, sehingga terapi kombinasi diperlukan pada kasus tertentu. Tinjauan literatur ini bertujuan menganalisis peran terapi antikejang tunggal dan kombinasi pada epilepsi anak, khususnya terkait frekuensi kejang, keamanan, kepatuhan, dan kualitas hidup. Metode disusun menggunakan kerangka PICO dan alur seleksi berbasis PRISMA. Penelusuran literatur dilakukan melalui PubMed, ScienceDirect, Google Scholar, Cochrane Library, dan laman pedoman klinis resmi untuk publikasi tahun 2021-2026. Sebanyak 14 artikel dan dokumen pedoman memenuhi kriteria kelayakan dan disintesis secara naratif. Hasil kajian menunjukkan bahwa terapi antikejang tunggal tetap rasional sebagai pendekatan lini awal, sedangkan terapi kombinasi lebih tepat dipahami sebagai eskalasi terapi pada anak dengan kontrol kejang belum optimal. Perbedaan frekuensi kejang antara kedua kelompok terapi harus ditafsirkan dengan mempertimbangkan tipe kejang, etiologi, durasi penyakit, kepatuhan, komorbiditas, riwayat kegagalan terapi, dan derajat keparahan awal.
Abstract:Penelitian ini bertujuan untuk menganalisis implementasi Hukum Administrasi Publik dalam mendukung terwujudnya good governance melalui transformasi digital pelayanan publik di Indonesia. Penelitian dilatarbelakangi oleh…
meningkatnya tuntutan masyarakat terhadap pelayanan publik yang cepat, transparan, akuntabel, dan berorientasi pada kepentingan publik di era digital. Di sisi lain, pemerintah menghadapi berbagai tantangan, seperti tumpang tindih regulasi, penyalahgunaan kewenangan, rendahnya kompetensi aparatur, serta belum meratanya implementasi Sistem Pemerintahan Berbasis Elektronik (SPBE). Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kepustakaan (library research) melalui analisis berbagai peraturan perundang-undangan, buku ilmiah, artikel jurnal nasional dan internasional, serta dokumen kebijakan pemerintah yang relevan. Analisis data dilakukan secara deskriptif-kualitatif dengan mengkaji implementasi prinsip-prinsip Hukum Administrasi Publik berdasarkan Asas-Asas Umum Pemerintahan yang Baik (AUPB), good governance, dan digital governance. Hasil penelitian menunjukkan bahwa implementasi Hukum Administrasi Publik telah memberikan kontribusi terhadap peningkatan kepastian hukum, transparansi, akuntabilitas, efektivitas penyelenggaraan pemerintahan, serta kualitas pelayanan publik melalui penerapan SPBE. Namun demikian, pelaksanaannya masih menghadapi berbagai kendala, antara lain disharmonisasi regulasi, keterbatasan infrastruktur digital, rendahnya literasi digital aparatur sipil negara, serta lemahnya pengawasan terhadap penggunaan kewenangan administrasi. Penelitian ini menegaskan bahwa penguatan Hukum Administrasi Publik harus dilakukan secara terintegrasi dengan reformasi birokrasi, transformasi digital, peningkatan kapasitas sumber daya manusia, serta penguatan sistem pengawasan guna mewujudkan tata kelola pemerintahan yang efektif, adaptif, dan berorientasi pada pelayanan publik yang berkualitas.