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Scholarships are a form of assistance in the form of educational expenses provided by the government or foundations to students or students who are categorized as from underprivileged families. However, in datermining scholarship recipients, there are still many scholarship recipients who come from wealthy families, while those from less fortunate families do not receive this assistance. This may be due to calculations and data processing that still use manual methods, causing scholarship recipients to not be on target. The purpose of this research is to simplify and minimize calculation errors in determining scholarship recipients for the Smart Indonesia Program (PIP) at SMK Karya Medika. Therefore, for calculating and processing PIP scholarship recipients data, data mining techniques can use the calssification method using the K-NN algprithm. K-Nearest Neighbor is a data classification method that will be used for data objects based on learning data that is closer to the object. In this study using the Confusion Matrix test so as to obtain an accuracy value of 80.00%.     

Di era digital saat ini, kemajuan teknologi informasi mengalami pertumbuhan yang pesat. Salah satu perkembangan yang signifikan terjadi dalam bidang kecerdasan buatan (Artificial Intelligence), yang telah diterapkan luas di berbagai sektor, termasuk analisis data dan pengambilan keputusan. Para peneliti di bidang data mining telah menciptakan beragam algoritma klasifikasi yang meningkatkan proses klasifikasi dengan memanfaatkan atribut numerik dan nominal. Klasifikasi adalah suatu proses analisis data yang menghasilkan model untuk mewakili kelas-kelas dalam data tersebut, seperti yang terjadi pada Decision Tree yang digunakan untuk menganalisis klasifikasi dan pola prediksi data serta menggambarkan hubungan antara variabel atribut  dan variabel target  dalam bentuk struktur pohon. Python, sebagai bahasa pemrograman populer dalam pengembangan kecerdasan buatan, menyediakan pustaka dan framework yang mendukung implementasi algoritma Decision Tree. Dengan menerapkan algoritma Decision Tree untuk klasifikasi data evaluasi mobil menggunakan Python, kita dapat memanfaatkan kekuatan AI untuk memberikan solusi efektif dan efisien dalam pengambilan keputusan terkait evaluasi mobil. Menggunakan dataset Evaluation Car dari UC Irvine Machine Learning Repository, hasil penelitian menunjukkan akurasi sebesar 81%. Confusion Matrix dan laporan klasifikasi menunjukkan performa model yang baik dalam melakukan prediksi.

Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN InceptionV3 model and combine it with three data augmentations to recognize up to 100 butterfly species. To curb overfitting, this study employs a series of data augmentation techniques. In parallel, we refine the InceptionV3 model by reducing the number of layers and integrating four new layers. The test results demonstrate that our proposed model achieves an impressive accuracy of 99.43% for 15 classes with only 10 epochs, exceeding prior models by approximately 5%. When extended to 100 classes, the model maintains a high accuracy rate of 98.49% with 50 epochs. The proposed model surpasses the performance of standard pre-trained models, including VGG16, ResNet50, and InceptionV3, illustrating its potential for broader application.

Abstract.Network anomaly detection is a situation that occurs in network traffic that causes conditions to become abnormal. This research aims to analyze the performance of various machine learning algorithms in network anomaly detection and compare the performance of single classifier algorithms with ensemble learning. This ensemble learning technique has advantages such as increased accuracy and performance, can reduce the risk of overfitting and underfitting by using different subsets and features of data, and can turn weak learning into strong learning. However, on the other hand, this ensemble learning technique also has disadvantages in its use, namely that this ensemble method may not work well with high variance models, as the ensemble method may not be optimized for anomaly detection and that this method can be computationally expensive and time consuming due to the need to train and store multiple models. Some of the techniques used are deep learning, eager learning, lazy learning, bagging, feature selection, boosting, and stacking. In addition to this, this machine learning algorithm has weaknesses, including if any of the data used is incomplete, it will result in inaccurate completion data, making the programming process quite time-consuming. This research can help develop a more effective and efficient network anomaly detection system. The results of this research show that using ensemble learning and feature selection techniques can improve anomaly detection performance by reducing the processing time of redundant data and classification, as well as increasing precision values.    

The purpose of this study is to catalogue the art and music culture education approaches that are in use at SMA Negeri 2 Lubuk Basung. Aspects such as learning objectives, learning materials, methods, musical instruments, learning processes, and evaluation are examined in the musical arts learning activities. The participants in this qualitative descriptive study are SMA Negeri 2 Lubuk Basung eighth-grade students. The researcher assumes the role of the research instrument, supplemented by auxiliary tools such as mobile phones, cameras, and stationery. Data collection was conducted through a systematic review of pertinent literature, observation, interviews, and documentation. Data collection, data classification, data clarification, data analysis, data description, and data conclusion are all components of data analysis techniques. The findings of the study indicate that the teaching modules in the independent curriculum do not provide comprehensive guidance for learning planning, which is influenced by various conditions. Research findings indicate that music culture instructors at SMA Negeri 2 Lubuk Basung have implemented music arts learning strategies consisting of five stages: learning preparation strategies, learning management strategies, strategies for utilising learning media, strategies for implementing model methods and learning approaches, strategies for motivating students, and strategies for evaluative purposes. The purpose of this study is to catalogue the art and music culture education approaches that are in use at SMA Negeri 2 Lubuk Basung. Aspects such as learning objectives, learning materials, methods, musical instruments, learning processes, and evaluation are examined in the musical arts learning activities. The participants in this qualitative descriptive study are SMA Negeri 2 Lubuk Basung eighth-grade students. The researcher assumes the role of the research instrument, supplemented by auxiliary tools such as mobile phones, cameras, and stationery. Data collection was conducted through a systematic review of pertinent literature, observation, interviews, and documentation. Data collection, data classification, data clarification, data analysis, data description, and data conclusion are all components of data analysis techniques. The results of the research suggest that the instructional modules within the self-directed curriculum fail to offer exhaustive direction for the process of learning planning, which is subject to a multitude of factors. Research findings indicate that music culture instructors at SMA Negeri 2 Lubuk Basung have implemented music arts learning strategies consisting of five stages: learning preparation strategies, learning management strategies, strategies for utilising learning media, strategies for implementing model methods and learning approaches, strategies for motivating students, and strategies for evaluative purposes.

Television programming has a profound impact on the formation and development of behavior in people of all ages. Understanding the age categorization code for television broadcast programs and practicing self – censorship on television broadcast programs are two ways to prevent the occurrence of harmful influences.  The purpose of this study is to determine the extent to which the age classification code for television broadcast programs influences parents' self – censorship of their children's viewing.  This study employs a quantitative methodology using survey methods.  Random sampling was utilized to acquire sample data, and questionnaires were used to collect data.  The findings of this study indicate that the age categorization code of television broadcast shows has a favorable influence on parents' self – censorship of their children's viewing.

This literature study aims to analyze and describe the integration of moral values ​​in Islamic Religious Education (PAI) learning based on coastal local wisdom for elementary school students. The focus of this study is to identify moral values ​​that are relevant to the lives of coastal communities, analyze strategies for integrating coastal local wisdom in PAI learning, and describe the potential for developing PAI teaching materials based on coastal local wisdom. The research method used is a literature study with a descriptive-analytical approach. The sources of research data are journal articles, reference books, curriculum documents, and relevant previous research results over the past ten years. Data collection techniques are carried out through identification, classification, and content analysis. The results of the study show that: (1) Moral values ​​that are relevant to the lives of coastal communities include gratitude for the gifts of the sea, honesty, cooperation, courage, patience, and responsibility for the environment; (2) The strategy of integrating local coastal wisdom in Islamic Religious Education learning can be done through the development of contextual teaching materials, experiential learning methods, and authentic evaluation; (3) The development of Islamic Religious Education teaching materials based on local coastal wisdom has the potential to increase the relevance of learning, strengthen local cultural identity, and facilitate the internalization of moral values ​​in elementary school students. This study concludes that the integration of moral values ​​in Islamic Religious Education learning based on local coastal wisdom is a relevant and potential strategy to be implemented in elementary schools in coastal areas, especially at SDN 007 Panipahan.

Music genres are becoming increasingly diverse, and many people listen to music because it has benefits such as refreshing, motivating or therapeutic. However, with the increasing number of genres, some listeners have a tendency towards the type of genre they like. In Indonesia itself, there are several popular music genres such as pop, folk, rock, indie and dangdut. Classification of music genres is an interesting topic when looking at this behaviour. Several approaches to classify popular music genres include audio and tabular data approaches. In this research, classifying music genres using an image approach by implementing SuperTML to change the form of tabular data into image form, which is then trained using a pre-trained CNN Densenet, succeeded in achieving an accuracy of 67%.

This research was conducted in class IX of Dian Todahe Middle School for the 2021/2022 academic year, with 25 students as subjects. This research aims to improve student learning outcomes by applying the Problem-Based Learning (PBL) approach to learning the movement of living creatures. This particular form of research is included in classroom action research (CAR) classification. This research examines student learning outcomes by analyzing their test scores before and after their involvement in the learning process, with a particular focus on Biology education, which is related to the movement of living things. Research findings show an increase in student performance during cycle II, which is then accompanied by an increase in student engagement. Of the total number of students, 22 (88%) completed their studies by getting a maximum score of 65. On the other hand, three students (12%) could only complete their studies if they scored below 65. The learning outcomes achieved in cycle II have fulfilled the requirements for completion. Traditionally, there has been a visible improvement in students' understanding of the subject matter.

Community development programs and partnerships. The Partnership Program was created to help small businesses grow and become independent. Qualitative descriptive research methodology was used for this investigation. This approach seeks to present a fairly clear picture of the problem under study. To conduct this investigation rigorously, PT. Pelindo Regional Kuala Tanjung Branch was assigned by the Partnership and Community Development Program (PKBL). Therefore, the researchers who wrote this report collected data on the value of receivables as of December 31, 2022. To make it easier for companies to understand the prospects of their partners, the company categorizes its partners in the payment of receivables. The four associate positions included in the classification are Current, Substandard, Doubtful, and Stuck. PT Pelabuhan Indoneisa Regional 1 (Persero) Kuala Tanjung Branch in the period of December 31, 2022 provided loans to partners from various sectors with a total of 92 partners. The total remaining receivables in the current partner classification amounted to IDR 10,729,776,409.00,-, in the non-current partner classification amounted to IDR 5,589,839,653.00,- ,in the doubtful partner classification amounted to IDR 791,912,104.00,- and the total remaining receivables in the current partner classification amounted to IDR 5,085,536,468.00,-. As we can see, the total remaining receivables between the current and current partner classifications are not too far apart like the substandard and doubtful partner classifications.

The main objective of this report is to evaluate the current cost of goods manufactured calculation, analyze the unaccounted costs in the cost of goods manufactured, and provide recommendations for improving the cost of goods manufactured calculation process. The research method involves collecting primary data through surveys and interviews with company staff. The data sample includes information on the use of material costs, labor, fixed asset lists, and the calculation of the cost of goods produced for hard cover invitations and bairut gold cover yasin books during February 2023. The results of the analysis show that the company has not made a correct classification of the elements of the cost of goods manufactured and has not included some costs in the cost of goods manufactured. In addition, the charging of factory overhead costs has not been applied properly. Therefore, recommendations are suggested for the company to carry out proper classification of the elements of cost of goods manufactured, Include costs related to electricity bills and depreciation of tangible assets in the cost of goods manufactured budget or overhead costs.

This study aims to determine and analyze the influence of taste and product diversity on purchasing decisions of HUT Pizza for Tasikmalaya HUT Pizza consumers. The method used in this research is quantitative through a survey approach.  With a research sample of 100 Tasikmalaya HUT Pizza Consumers. The data used is primary data. The analytical tool used in this study is multiple regression using SPSS 29. The results show that Taste has a very good rating classification. Product Diversity has a good rating classification while Purchase Decision has a good classification for Tasikmalaya HUT Pizza Consumers. Together, Product Taste and Diversity have a significant influence on Purchasing Decisions for Tasikmalaya HUT Pizza Consumers.  Partially Taste has a significant effect on Purchase Decisions on Tasikmalaya HUT Pizza Consumers, Partially Product Diversity has a significant effect on Purchase Decisions on Tasikmalaya HUT Pizza Consumers

This study aims to identify and analyze the effect of price perceptions and service quality onpurchase intention (a survey of RedDoorz Tasikmalaya company users). The method used in this research is causality with a quantitative approach. With a research sample of 49 Users of the Tasikmalaya RedDoorz Company. The data used is using primary data. The analytical tool used in this study is multiple regression using SPSS 26.0. The results showed that Price Perception has a very good rating classification, Service Quality has a very good rating classification while Purchase Intention has a Good classification for RedDoorz Tasikmalaya Company Users. Taken together, Perceived Price and Service Quality have a significant influence on Purchase Intention of Company Users of RedDoorz Tasikmalaya. Partially Perceived Price has a significant influence on Purchase Intention of Company Users of RedDoorz Tasikmalaya. Partially, Service Quality has a significant effect on Purchase Interest in RedDoorz Tasikmalaya Company Users.

Active learning is optimizing the use of all the potential possessed by students, so that all students can achieve satisfactory learning outcomes according to their personal characteristics. In this mini-research task, the author discusses active learning strategies using the card short method. The purpose of this study was to determine the effect of active learning strategies using the card short method on student learning outcomes. The method used in this study is the method of direct observation or survey in Class XI IPA 3 SMAN 2 Percut Sei Tuan. Data collection techniques used pretest and posttest and the results showed that there were differences in the effect of active learning strategies using the cardhort method with the blood circulatory system material. The card sort learning method with the technique of the games is expected to help students understand the lesson and understand the classification of the circulatory system material. Based on the results of research conducted at SMA Negeri 2 Percut Sei Tuan, there are differences in the influence of active learning strategies using the cardshort method with blood circulatory system material.

Data mining is a technology that plays an important role in supporting data-driven decision making, especially in complex and dynamic higher education environments. In the context of education management, the ability to predict student graduation is an essential aspect because it can help institutions plan strategic steps, intervene earlier, and optimize academic resources. This study aims to apply the C4.5 decision tree algorithm to build a student graduation prediction model based on academic data. The research dataset includes key variables such as Grade Point Average (GPA), total Semester Credit Units (SKS) taken, and student attendance rates during lectures. The analysis was conducted using the C4.5 algorithm, which is known for its high level of interpretability, making the model results easy to understand by policy makers. The test results showed an accuracy of 84.6%, indicating that this method has the potential to support data-based academic management systems. These findings are expected to serve as a basis for educational institutions to improve the effectiveness of monitoring and evaluating the student learning process.

The air transportation business in Indonesia has experienced a rapid increase seen from the number of airlines established in Indonesia. The increasing number of airlines makes the competition increasingly fierce in building a company. So the company can experience financial difficulties that can lead to bankruptcy. One of the airline companies experiencing financial distress is PT. Indonesia Transport and Infrastructure Tbk. This research aims to analyze and predict the bankruptcy of the company PT. Indonesia Transport and Infrastructure Tbk. This research uses the Altman Z-Score and Springate methods. The data collection technique used in the research is secondary data in the form of PT's annual financial report. Indonesia Transport and Infrastructure Tbk for the 2017-2021 period.       The results of this research state that in 2017 the company experienced distress with a z-score classification of -2.2920 and Springate -0.5127. In 2018 the company experienced distress with a classification of -2.9939 and Springate -0.4330. In 2019 the company experienced distress with a z-score classification of -4.0886 and Springate -0.5974. In 2020 the company experienced distress with a z-score classification of -6.8293 and Springate -0.7776. In 2021 the company experienced distress with a z-score classification of -8.0491 and Springate -0.5821.

Freedom of speech is the right for every human being or individual to speak freely for his or her opinion, and is included in the classification of personal rights in human rights. So the right to freedom of opinion is part of one of the human rights that relates to a person's personality. The purpose of this research is to find out the existence of the right to freedom of speech in criticizing government policies which in reality are limited by the ITE Law. The method used in this research is normative law by collecting primary and secondary data from regulations, books, journals, and documents related to the research. The results of this study found several cases related to the right to freedom of speech that is restricted by Law Number 19 of 2016 concerning Electronic Information and Transactions Law.

This study aims to determine the effect of product quality, price and service quality on customer loyalty camping equipment rental. the method used is a case study, data obtained through questionnaires to Astrajingga Adventure customers. Withdrawal of samples using purposive sampling technique and the method of analysis used is multiple linear regression analysis method. The results of the research show that product quality, price, service quality and customer loyalty are included in the good classification. Simultaneously product quality, price and service quality have a significant effect on customer loyalty for Astrajingga Adventure camping equipment rental. Partially the product quality variable has no significant effect on camping equipment rental customer loyalty, the price perception variable has a significant effect on camping equipment rental customer loyalty, similarly the service quality variable has a significant effect on camping equipment rental customer loyalty Astrajingga Adventure.

The aim of this research is to analyze the simultaneous significant influence of salary and incentives on employee work productivity in the Promotions Division of CV. Lentera Galuh R Tasikmalaya. Salary has a significant partial influence on employee work productivity in the Promotions Division of CV. Lentera Galuh R Tasikmalaya, while Incentives also have a significant partial influence on employee work productivity in the same division. The research method used in this study is a quantitative method with a causal associative analysis approach. The research sample consists of 39 employees of CV. Lentera Galuh R Tasikmalaya. Data were collected through questionnaires distributed to employees in the division. The analytical tool used in this research is multiple regression analysis conducted using SPSS 25.0. The research results indicate that Salary has a classification of Very Strong, Incentives have a classification of Very Strong, while Employee Work Productivity also has a Very Strong classification. The findings of this study are expected to provide a better understanding of the influence of salary and incentives on employee work productivity in CV. Lentera Galuh R Tasikmalaya and offer recommendations to the management for enhancing employee performance and productivity.

The aim of this research is to determine and analyze the accounting treatment of fixed assets based on SAK-ETAP at Puskopdit Swadaya Utama 2020-2021. The research method used is descriptive qualitative. The data sources used in this research are primary data and secondary data. Data collection techniques in this research used observation, interviews and documentation methods. The data analysis technique used is qualitative analysis, namely data collection and analysis, data reduction, data presentation, and verification or drawing conclusions. The results of this research show that the classification of fixed assets, acquisition and recognition of fixed assets, measurement of fixed assets, depreciation of fixed assets, and presentation of fixed assets in the balance sheet are in accordance with SAK-ETAP. Meanwhile, the termination and disposal of fixed assets is not in accordance with SAK-ETAP.