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Analisis Reaksi Pasar Modal Dilihat dari Return, Abnormal Return (AR) Dan Trading Volume Activity (TVA) Terhadap Isu Indomie Vs Mie Gaga (Studi Pada PT. Indofood CBP Sukses Makmur Tbk)
This study aims to determine and analyze the influence of Product Quality on purchasing decisions in online shop applications, to determine and analyze the influence of price on purchasing decisions in online shop applications, to determine and analyze the influence of promotion on purchasing decisions in online shop applications, and to determine and analyze the influence of product quality, price, and promotion on purchasing decisions in online shop applications among students of Unmer Malang. The sample in this study consisted of 100 students. Data analysis technique used multiple regression analysis. The results of the analysis show that product quality does not significantly influence purchasing decisions. Price significantly influences purchasing decisions. Promotion significantly influences purchasing decisions. Product quality, price, and promotion simultaneously have a significant influence on purchasing decisions. Keywords: This research aims to understand and analyze the differences in return, abnormal return, and trading volume activity before and after the "Indomie VS Mie Gaga" issue at PT. Indofood CBP Sukses Makmur Tbk. The method used is quantitative method with time series data obtained from the Indonesia Stock Exchange (IDX). The data type in this research is quantitative data and the data source used is secondary data with a study period of 61 days. The data analysis method utilizes descriptive statistics and paired sample t-test to test hypotheses using SPSS. The results of this research indicate that there is no difference in stock return and abnormal return before and after the "Indomie VS Mie Gaga" issue. It means that at the level of stock return and abnormal return variables, the results are stable. There is a significant difference in the trading volume activity variable before and after the "Indomie VS Mie Gaga" issue. It means that the trading volume activity variable experienced a significant decrease after the "Indomie VS Mie Gaga" issue
Pengaruh Normalisasi Skala Fitur Pada Pengelompokan Data Terhadap Efisiensi Dan Efektivitas Menggunakan Metode Clustering
The advancement and introduction of computing technology has proven to be very effective and resulted in the production of large amounts of data to be analyzed (Wang Haoxiang, 2021). Proper data and careful analysis of such data is essential in efficient and effective decision-making. One of the important techniques in data processing is the clustering method, which allows to group data into clusters based on certain characteristics or features. Clustering is an important tool in data mining research and applications. Clustering is an active research subject in many fields of study, such as computer science, data science, statistics, pattern recognition, artificial intelligence, and machine learning (Ezugwu, 2022)
Analisis Kualitas Layanan Pendidikan E-Learning Menggunakan Metode Servqual can Ipa (Studi Kasus SMAN 2 Sano Nggoang Manggarai Barat)
Education is one of the main factors in increasing Human Resources. Activities in the teaching and learning process that were initially offline are now able to adapt online with the rapid development of technology. The online learning system can use any media, for example Google Classroom, Zoom Meeting, Google Meet, Whatsapp, and others. Academic activities that were originally based offline and then digitalized to become online can of course cause problems due to the school's unpreparedness in resolving this matter. The aim of this research is to determine the level of satisfaction with the e- learning learning process as a substitute for face-to-face classes between students and teachers. Based on these problems, several methods are needed to measure the level of satisfaction with using e-learning by applying the ServQual and IPA methods. The servqual method will identify which service attributes need to be improved and the Cartesian diagram in this research is used to determine service attribute priorities. The IPA method is used to measure how important an attribute or characteristic is for customer satisfaction, which is often obtained through surveys or questionnaires From the research results, it was found that the e-learning services provided to students were less varied in teaching methods and it was appropriate to provide different learning material options by utilizing learning videos on YouTube. Apart from that, teachers can inform assignment schedules and deadlines on the Whatapp group so that students who cannot join Google Classroom and Zoom know what assignments must be done
Perancangan Teknologi AI Untuk Analisis dan Pemetaan Wilayah Terdampak Banjir Dengan Pendekatan Visual Komputer
Flooding is an event that can cause an accumulation of water in areas that are not normally submerged, such as agricultural land, settlements, and city centers. Most floods are caused by the volume of water exceeding the capacity of a river or drainage system. While harmless if they do not cause loss, loss of life or injury, recurrent and significant flooding can disrupt human life and result in large economic losses. The response to flooding involves a series of steps from emergency response to future preventive measures, with both physical and non- physical approaches. Recent research has utilized big data and machine learning to reduce the impact of floods. Machine learning enables flood analysis and prediction based on historical data, which can improve the performance of prediction systems and provide cost-effective solutions. The proposed solution is to use artificial intelligence to identify areas vulnerable to flooding, facilitating the implementation of more effective preventive measures. The process includes image segmentation, validation, and model development to map areas prone to flooding. The result of this research analysis is image segmentation that can effectively identify potentially flooded areas. In flood prevention and the creation of optimal solutions as flood detection before a disaster occurs, this feature can also help disaster management agencies if they can work together in implementing more efficient and responsive emergency response strategies. This research is expected to improve emergency response efficiency, develop machine learning techniques, raise awareness about flood management, and expand knowledge about disaster management
Prediksi Kejadian Penyakit Tuberkulosis Paru Menggunakan Metode Peramalan Moving Average dan Dekomposisi Time Series
The third-highest number of pulmonary tuberculosis-related deaths occurs in Indonesia. To stop TB from spreading throughout Indonesia, in 2021 To stop and slow the spread of tuberculosis, the government started a control program. One effort to assess whether the program that has been implemented is operating well or not is to forecast the incidence of pulmonary tuberculosis. This research aims to predict the incidence of pulmonary tuberculosis to provide useful information for health workers and related parties in efforts to prevent and control pulmonary tuberculosis at Hospital X, Malang City in 2024. The technique to forecast the number of people afflicted with tuberculosis is a moving average. and time series decomposition. The multipicative decomposition method produces the smallest MAPE, namely 15.37%, which is in the good category compared to additive and moving average decomposition. In 2022 and 2023 there will be a significant spike in pulmonary tuberculosis cases at Hospital X Malang City and men have a higher risk factor than women. Most cases of pulmonary tuberculosis infection occur in the elderly (46-65 years) and adults (26-45 years) age groups
The Influence of Motivation and Training Entrepreneurship on the Performance of SME Entrepreneurs Modulated by Organizational Culture
Purpose: This research aims to determine the relationship between motivation, entrepreneurship training and performance, as well as organizational culture as a moderator variable.
Method: Respondents numbered 113 SMEs, former TKI who had received entrepreneurship training from the Manpower Service. Primary data was collected using a questionnaire and processed using PLS model path analysis assisted by the SmartPLS 3.0 program.
Result: The research results are as follows: (1) Motivation has no effect on performance; (2) Entrepreneurship training influences performance; (3) organizational culture influences performance; (4) organizational culture as a moderating predictor variable has a significant effect on performance but is unable to moderate the influence of motivation and
entrepreneurship training on the performance of SME entrepreneurs. The impact of entrepreneurship motivation and training may vary depending on other factors, such as stakeholder interests and local culture. These last two variables could be opportunities for further research
Pengaruh Profitabilitas dan Struktur Kepemilikan Terhadap Nilai Perusahaan Dengan Mediasi Struktur Modal Pada Perusahaan Perbankan di Indonesia
This study aims to analyze the effect of profitability on the capital structure of banking companies, analyze the effect of ownership structure on the capital structure of banking companies, analyze the effect of profitability on the value of banking companies, analyze the effect of ownership structure on the value of banking companies, analyze the effect of profitability on firm value through the capital structure of banking companies, analyze the effect of ownership structure on firm value through the capital structure of banking companies. The population in this study are banking companies that have been listed on the Indonesia Stock Exchange in the period 2021 to 2023. The sampling technique used in this study is purposive sampling technique. Based on these criteria, a sample size of 11 banks
was obtained, so that the number of observations was 11 x 3 years = 33 observations. The data analysis technique uses path analysis.
The analysis shows that profitability affects the capital structure. Ownership structure has no effect on capital structure. Profitability has a significant influence on firm value. Institutional ownership structure has a significant influence on the value of banking companies. Capital structure has no effect on banking value, which means that the high and low capital structure has no impact on firm value. Capital structure fails to mediate the effect of profitability on banking value. Capital structure fails to mediate the effect of institutional ownership structure on banking firm value
Pengaruh Keselamatan dan Kesehatan Kerja (K3) dan Lingkungan Kerja terhadap Kinerja Karyawan
This research aims to determine the impact of health and safety at work and the work environment on employee performance. The population in this study consists of 75 employees of UD. Zidan Putra. This research is an explanatory study and utilizes a quantitative approach. The data analysis techniques used in this study are descriptive analysis and regression analysis. The sampling technique used in this research is a saturated sampling technique. The results of the research found that health and safety at work and the work environment significantly impact employee performance. It is revealed that the work environment has a more significant impact on employee performance in this case
Analisis Pola Persebaran Penyakit Melalui Sistem Informasi Geografi di Daerah Kabupaten Malang
This research on analyzing disease distribution patterns through Geographic Information Systems (GIS) in urban areas has great relevance in the context of public health. In urban areas, the population tends to be dense, and socio-economic activity is high, which makes it vulnerable to infectious diseases. The distribution pattern of this disease is very complex and sometimes difficult to identify without the help of technology. With the continued growth of cities, a better understanding of the distribution pattern of this disease has become very important for disease prevention and control efforts. This research is a type of quantitative research with quantitative methods. The result of this research is an information system map of the number of dengue fever cases in community health centers in Malang Regency in 2022 by month. The map is displayed using data grouping carried out by the K-Means Clustering algorithm. This algorithm takes input as data and outputs as a group map. The results of making a GIS map in geographic data for Malang Regency are a large and varied area, with topography that is mostly mountainous. This makes Malang Regency a major tourist destination in East Java. The dataset used in this research is data on the number of cases of dengue fever in community health centers throughout Malang Regency. The dataset has several attributes, namely number, health center, month, latitude, longitude, and total. There are 4
clusters formed, namely clusters 1 to 4. Based on the results of the GIS map, there are several months where the number of dengue fever cases fluctuates the highest. For example, in June and July, there was a significant increase in the number of dengue fever cases, especially in Cluster 4. 4. Dampit is the sub-district with the third largest population in cluster 4. In discussing the highest case centers, cluster 4 is one of the focuses of the highest cases. . Meanwhile, the largest number of residents, namely in cluster 1, is not the focus of the highest cases. The planning
strategy to prevent the spread of dengue fever is to increase surveillance in Clusters 2 and 4, especially in January, June and July
Analisis Tingkat Kepuasan Pengguna E-Parkir Di Pasar Induk Among Tani Batu Menggunakan Metode Tam
This study aims to examine the influence of the effectiveness of the E-Parking system at Pasar Induk Among Tani Batu. The research intends to determine whether the implementation of the information system is effective in managing parking and addressing congestion issues and whether it is well-received by the surrounding community. The sampling technique used is purposive sampling with a sample size of 43 market visitors. Using a descriptive quantitative analysis method, data were collected through questionnaires with a Likert scale. The results of this study indicate that the perceived usefulness variable (X1) has a significant effect on effectiveness (Y). The perceived ease of use variable (X2) has a partially positive effect on the effectiveness variable (Y). The actual use variable (X3) partially affects the effectiveness variable (Y). The E-Parking system is well-received by users and effective in addressing parking issues at Pasar Induk Among Tani Bat