Abstract:Abstract: Artificial Intelligence (AI) is currently gaining popularity across various industries, including healthcare, finance, and others. In this study, AI technology is employed to devise an optimal marketing strategy…
y for Code Verse Computer Accessories Store using the K-Means algorithm. As part of machine learning, the K-Means algorithm, categorized under unsupervised learning, is implemented to cluster sales data for computer accessory products over the last three months of 2023. The results of the K-Means analysis identify two main clusters. Cluster one (Cluster 1) comprises products such as Mouse, Keyboard, Monitor, Headset, and Speaker, indicating consistent purchasing patterns and high consumer interest. Recommendations are made to increase stock for Cluster 1. Meanwhile, Cluster two (Cluster 2) consists of Mic products with lower interest, and it is not advisable to increase stock. The implementation of K-Means provides insights into purchasing patterns, enabling Code Verse to develop more effective marketing and inventory management strategies.
Keywords: K-Means algorithm; artificial intelligence; clustering
Abstract: Kecerdasan Buatan (AI) kini meraih popularitas dalam berbagai industri, termasuk sektor kesehatan, keuangan, dan lainnya. Pada penelitian ini, teknologi AI digunakan untuk merancang strategi pemasaran optimal bagi Toko Aksesoris Komputer CodeVerse dengan menggunakan Algoritma K-Means. Sebagai bagian dari machine learning, Algoritma K-Means, yang termasuk dalam kategori unsupervised learning, diimplementasikan untuk mengelompokkan data penjualan produk selama tiga bulan terakhir tahun 2023. Hasil dari analisis K-Means mengidentifikasi dua cluster utama. Cluster pertama (Cluster 1) terdiri dari produk Mouse, Keyboard, Monitor, Headset, dan Speaker, menunjukkan pola pembelian yang konsisten dan tingginya minat konsumen. Rekomendasi untuk menambah stok diberikan. Sementara itu, Cluster kedua (Cluster 2) terdiri dari produk Mic dengan minat lebih rendah, dan tidak disarankan untuk menambah stok. Implementasi K-Means memberikan wawasan tentang pola pembelian, memungkinkan CodeVerse mengembangkan strategi pemasaran dan manajemen persediaan yang lebih efektif.
Keywords: Algoritma k-means; kecerdasan buatan; clustering
Abstract:Abstract: Pests are a major problem for citrus farmers, until now the pests that attack citrus plants vary widely. One of the pests on citrus plants is the trunk beetle where this pest attacks the old leaves on the lower…
branches or branches as a result of which the leaves fall and the young branches die. For this reason, an expert system was designed to identify pests in citrus plants The method used in this research is the certainty factor method. The results based on the symptoms experienced by the citrus plants showed that the pests affected on the citrus plants were Aphids with an expertise level of 0.8 and a percentage of 80% and had a fairly good aquaculture value.
Keywords: citrus plant pest; certainty factor; expert system
Abstrak: Hama merupakan masalah utama bagi para petani jeruk, hingga saat ini hama yang menyerang tanaman jeruk sangat bervariasi. Salah satu hama pada tanaman jeruk adalah kumbang belalai dimana hama ini menyerang daun tua pada ranting atau dahan bagian bawah akibatnya daun gugur dan ranting muda mati. Untuk itu dirancang suatu sistem pakar mengidentifikasi hama tanaman jeruk. Metode yang digunakan pada penelitian kali ini ialah metode faktor kepastian (CF),. Hasil bedasarkan gejala-gejala yang dialami oleh tanaman jeruk tersebut bahwa hama yang terkena pada tanaman jeruk adalah Kutu Daun dengan tingkat kepakaran 0,8 dan persentase 80 % dan memiliki nilai akuasi yang cukup baik.
Kata kunci: faktor kepastian; hama tanaman jeruk; sistem pakar;
Abstract:Abstract: Currently in almost every city around the world that loves flowers, including ornamental plants,. All cities are aggressively arranging their landscaping to compensate for motorized vehicle pollution or the arrangement…
rrangement of city parks planted with decorative gardens with the aim of greening the city. Sometimes there are problems in making decisions to determine suitable and good ornamental plants for planting in the city, in a decision that takes a long time. Determination of the types of ornamental plants to be planted through several factors such as leaf shape, color, stems and branches, roots and soil. On these issues, the authors conducted research on the determination of ornamental plants for city parks in the form of a decision support system application using the Analytical Hoerarchy Process (AHP) method.
Keywords: analytical hoerarchy process (AHP); decisionnsupporttsystem (SPK),
Abstrak: Saat ini hampirrdi setiap kota di seluruh dunia yang menyukai bunga termasuk tanaman hias, Semua kota gencar menata pertamanannya untuk mengimbangi polusi kendaraan bermotor maupun untuk penataan taman kota yang ditanami tamanan hias bertujuan untuk menghijaukan kota. Terkadang terdapat masalah dalam pengambilan keputusan untuk menentukan tanaman hias yang cocok dan bagus umtuk ditanam pad ataman kota, dalam pengambilan keputusan yang dilakukan terkadang memakan waktu yang cukup lama . Penentuan jenis tanaman hias yang akan ditanam melalui beberapa faktor seperti bentuk daun, warna, batang dan cabang, akar dan Tanah. Atas permasalahan tersebut penulis melakukan penelitian tentang penentuan tanaman hias untuk taman kota yang berupa aplikasi sistem pendukug keputusan yang menggunakan metode Analytical Hoerarchy Process (AHP).
Kata kunci: proses analisis hirarkie (AHP); sistem pendukung keputusan (SPK)
Abstract:This study aims to determine the effect of manure dosage and types of plant growth regulators (PGRs), as well as their interaction, on the generative phase of bird’s eye chili plants (Capsicum frutescens L.) in order to…
o improve productivity, which remains fluctuating due to suboptimal cultivation practices. The research was conducted from February to March 2026 at the experimental field of the Pusat Riset Bisnis Kopbun Suka Tani Sejahtera, Kota Juang District, Bireuen Regency, using a factorial Randomized Block Design (RBD) of 4 × 3 with three replications. The first factor was the dosage of manure (control, 1 kg/plant, 1.5 kg/plant, and 2 kg/plant), while the second factor was the type of natural PGR (onion extract, rice water, and coconut water). Data were collected through direct observations on several parameters, including number of fruits, fruit weight, fresh biomass weight, root fresh weight, and root length, and were then analyzed to determine the effects of treatments and their interactions.
The results showed that certain doses of manure had a significant effect on increasing yield and root growth, while natural PGRs were able to enhance flowering, reduce flower drop, and accelerate fruit formation. The interaction between both treatments indicated that the optimal combination produced higher results compared to single treatments. The novelty of this study lies in the use of a combination of manure and natural PGRs based on local materials as a strategy to improve the generative phase. The implications of this research are expected to serve as a scientific reference for the development of sustainable cultivation techniques, as well as learning material and further research in the fields of agronomy and horticulture.
Abstract:This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest…
t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.
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.
Abstract:This study examines the influence of motivation and job satisfaction on employee performance at the Ministry of Religious Affairs in Maluku Province. Motivation and job satisfaction are critical factors that drive employee…
ee productivity and create a conducive work environment. Using quantitative methods, data were analyzed through regression tests, including T-test, F-test, and determination coefficient analysis, to explore the relationships between these variables. The results indicate that motivation has a strong and significant positive effect on employee performance, supported by a regression coefficient of 0.661 and a significance level of p < 0.001. Similarly, job satisfaction also significantly impacts performance, with a coefficient of 0.325 and p < 0.001, although its influence is comparatively lower than motivation. The simultaneous effect of motivation and job satisfaction was confirmed by an F-value of 396.748 and an R² of 0.922, indicating that 92.2% of the variation in employee performance can be explained by these two factors. The findings emphasize the importance of fostering both motivation and job satisfaction to improve employee performance effectively. Therefore, organizations should develop policies that enhance motivation through rewards and career development opportunities, as well as improve job satisfaction by ensuring supportive working conditions and recognizing employee contributions.
Abstract:This study aims to analyze the differences in social support received by pregnant women who participate in the Family Planning (FP) program compared to pregnant women who do not participate in the program. The method used…
d is a systematic literature review, which includes data collection and analysis from various studies related to social support for pregnant women. the results of the study indicate that pregnant women involved in the family planning program receive stronger social support from family, friends, and health workers. this support includes better emotional, informational, and instrumental aspects, which have a positive impact on their mental and physical health. in contrast, non-family planning pregnant women tend to experience social isolation and have limited access to health resources and information. the discussion in this study emphasizes the importance of social support in improving the welfare of pregnant women and the role of the family planning program as a platform to strengthen social support networks. the conclusion of this study shows that better social support in pregnant women who participate in the family planning program contributes to better mental health, lower stress levels, and increase their self-confidence during pregnancy. therefore, it is important to improve the integration of social support in the family planning program to create a more supportive environment for pregnant women, so that they can go through their pregnancy more healthily and optimally.
Abstract:The Impact of Problematic Learning Styles on Learning Outcomes in My Country Cultural Diversity Teachers and Teaching Education Dissertation Pacuan University. 2566 This study is a quasi-experimental study using traditional…
nal and problem-based learning models to investigate how cultural diversity sub-factors affect learning outcomes in My Country State School in Bokor IV C 78 Problem-based learning models have more requirements than traditional control class learning problems based on the experimental class model compared to the model. Because the results of both samples are lower than the L table, they have a high N value, so to find out whether the sample <0.148 is distributed in normal class groups, the researcher conducted an additional normality test using the Liliefors test hypothesis test of 7.42843 is greater than 1.9944 in the table, therefore the alternative hypothesis is accepted and the null hypothesis H0 is rejected Based on the above findings, the problem-based learning model is more effective than the traditional approach. diversity in my country.
Abstract:This research aims to investigate the impact of transfer pricing, thin capitalization, and capital intensity on tax avoidance within the consumer goods industry. The study focuses on how these key financial strategies are…
e employed by companies to reduce their tax liabilities while navigating complex global tax environments. Transfer pricing allows companies to shift profits across jurisdictions by manipulating the prices of intra-company transactions, while thin capitalization—the practice of using excessive debt relative to equity—enables companies to maximize interest deductions and lower taxable income. Capital intensity, defined as the ratio of capital assets to sales, also plays a crucial role, as firms with significant physical assets can benefit from tax deductions through depreciation, further reducing taxable obligations. The sample used in this study was selected using purposive sampling, resulting in 23 companies that have complete financial reports and meet the specified criteria. By analyzing financial data and company reports, this research provides insights into sector-specific tax strategies and discusses the ethical implications, sustainability, and regulatory challenges associated with these practices in the consumer goods sector. The analysis shows that transfer pricing negatively and significantly affects tax avoidance, indicating that more aggressive transfer pricing practices may actually reduce tax avoidance activities. In contrast, thin capitalization and capital intensity do not show a significant impact on tax avoidance.