This case study discusses the effect of Environmental Disclosure (EVN), Social Disclosure (CSR), Governance Disclosure (CG) and Environmental, Social, Governance (ESG) disclosure on company performance, using control variables including asset turnover and asset growth. The variables that will be used in this study are the dependent variable (Return on Assets), independent variables (ESG disclosure, EVN disclosure, CSR disclosure, and Corporate Govenance Disclosure), and control variables (asset turnover and asset growth). The population in this sample will use manufacturing companies listed on the Indonesia Stock Exchange with a range of 2016-2020. Samples will be taken by purposive sampling method. Based on purposive sampling, it was found that there were 25 manufacturing companies listed on the IDX (2016-2020) that had complete data. The data analysis method used in this research is multiple regression analysis. In addition, this research also uses statistical techniques to test the hypothesys proposed in this study, namely panel data using SPSS. This study found that overall ESG Disclosure has a significant positive effect on company performance and CSR Disclosure has a significant negative effect on company performance.

The large number of theses will certainly make it difficult to find categories on thesis topics that have been written by students at a university. One of the uses of the Text Mining method is being able to group thesis objects into the number of clusters formed by the clustering algorithm. This study aims to compare 2 clustering algorithms, namely the K-Means and K-Medoids algorithms to obtain an accurate evaluation of the performance and computational time in the case of thesis clustering, so that relevant topics can be grouped and have better clustering accuracy. The evaluation parameter used is the Davies Bouldin Index (DBI) which is one of the testing techniques on clustering results, with the distribution of training data and testing data using cross validation using a repetition parameter of 10 folds iteration. From the results of the study with the Term Weighting condition used is Term Occurrences and using the N-Grams value is 2, it can be concluded that the K-Means algorithm has a better DBI value of -0.426. Meanwhile, the range of DBI values owned by K-Medoids with the same conditions has a DBI value of -1,631. However, from the visualization results using t-SNE with the same supporting parameters, there are options that can be used, namely the number of clusters is 6, and the DBI value is -1.110. For testing the computational time in the clustering process of 50 thesis documents, the K-Means algorithm has an average time of 2.5 seconds while the K-Medoids algorithm has an average time of 261.5 seconds. The computer specifications used are Asus ZenBook UX425EA.312 with the processor used is 11th Gen Intel® Core™ i5-1135G7 @ 2.40GHz @ 2.40GHz, the graphics card is Intel® Iris® Xe Graphics, the RAM used is 8GB, with storage of 512GB SSD.

Football School (SSB) is a supporting facility for children who have potential in the field of soccer in order to improve their skills. Football is a large ball game played in teams with a team of 10 players and 1 goalkeeper. In this game, teamwork is an important value that must be possessed to achieve competitive victory. However, along with problems in the form of discrepancies in operational standardization in soccer schools, causing negative public perceptions of the existence of this school. Therefore, a research was conducted to build a decision-making model in determining the choice of soccer schools in accordance with legal standards for children, namely using the Analytical Hierarchy Process (AHP) method. The AHP method is one method that can solve a problem because there is a hierarchy where there are several important aspects, namely Objects, Criteria, Sub Criteria, and Alternatives. By combining data and knowledge, it can increase effectiveness in decision makers. It is hoped that in the future, this research can help the community to support their children in the field of soccer by determining the appropriate soccer school.

Pada penelitian ini dilakukan pemeringkatan penanganan Covid-19 di negara-negara Asia menggunakan metode hybrid AHP-COPRAS. Proses pemeringkatan menggunakan metode COPRAS (Complex Proportional Assessment), sedangkan penentuan nilai bobot menggunakan bobot subjektif namun bobot kriteria melalui proses validasi menggunakan perbandingan berpasangan yang merupakan bagian dari metode AHP (Analytical Hierarchy Process). Proses pemeringkatan menggunakan enam kriteria penilaian: tes per populasi, positif per tes, positif per populasi, sembuh per positif, meninggal per positif, aktif per positif. Hasil akhir pemeringkatan menunjukkan bahwa negara dengan kasus kematian tinggi dan kasus kesembuhan rendah akan membuat peringkat negara tersebut turun, karena kasus kematian dan kasus penyembuhan memiliki bobot tertinggi dalam perannya dalam membentuk nilai utilitas.

Dalam mengembangkan suatu usaha atau penjualan adalah dengan mengikuti perkembangan teknologi termasuk penggunaan sistem untuk interaksi jual beli. Sudah banyak pedagang yang melakukan interaksi jual beli secara online. Selain itu, untuk mengembangkan suatu usaha juga diperlukan yang namanya prediksi penjualan pada masa yang akan datang agar penjual mengetahui dan mempersiapkan jumlah barang yang akan terjual untuk menghindari kekurangan ataupun kelebihan jumlah barang. Untuk mencari prediksi penjualan tersebut dapat dilakukan dengan berbagai metode salah satunya yaitu metode Double Exponential Smoothing. Metode Double Exponential Smoothing merupakan metode runtut waktu yang menggunakan data dari masa lampau untuk diprediksi pada periode selanjutnya. Data yang diolah yaitu data penjualan pada Toko Pakaian Dasni selama satu tahun. Hasil yang didapatkan berupa sistem prediksi penjualan selama 3 bulan periode selanjutnya yang dihitung tingkat keakuratan prediksi menggukan MAPE (Mean Absolute Percentage Error) dengan dicari error terkecil karena semakin kecil error maka semakin akurat untuk memprediksi jumlah penjualan pada periode selanjutnya. Sistem prediksi ini juga dirancang menggunakan bahasa pemrograman PHP. 

In the current era, learning adheres to the 2013 curriculum which includes HOTS (Higher Order Thinking Skills) consisting of critical thinking competencies, creativity and innovation, communication skills, collaboration skills and selfconfidence. These five things need to be trained or improved for deaf children so that they can take part in learning well. So learning media products are made that can be used to recognize letters and numbers. This Learning Media is equipped with sign language to support the understanding of deaf children in addition, it is packaged with an attractive appearance so that deaf children are interested in learning it. Often in daily teaching and learning activities students still often experience problems in remembering the material being taught both in the
introduction of letters and also the introduction of numbers and what becomes an obstacle for students learning must be done repeatedly so that they can
remember it and can really understand what it means. being taught and also they are sometimes bored and lazy in learning. From the problems that occur above,
it is necessary to have a learning media that can help children with disabilities, especially the deaf, especially for the introduction of numbers and letters
so that they can easily understand and understand letters and numbers. not bored, bored and lazy in learning. Learning media in the form of an android
application so that it can be used on smartphones which are currently very widely used by both teachers and parents of students with disabilities.

This study aims to analyze the effect of compliance pressure, audit expertise, audit experience, and self-efficacy on audit judgment moderated by task complexity. The technique used in sampling is purposive sampling technique and obtained by 120 people. Data was collected using a survey method with data collection techniques using a questionnaire distributed to the Financial and Development Supervisory Agency (BPKP). The data analysis technique used moderated regression analysis. The results show that compliance does not affect the audit judgment. Meanwhile, audit expertise, audit experience, and self-efficacy affect the audit judgment. The complexity of the task does not strengthen the effect of obedience pressure on audit judgment. In addition, complexity strengthens the effect of audit expertise, audit experience, and self-efficacy on audit judgment.

The COVID-19 pandemic had a significant impact on UMKM. Social distancing has changed consumer behavior from conventional to digital. UMKM Shapro Official is an original automotive t-shirt vendor that was established in 2017. Shapro Official has difficulty in introducing and marketing products with a clear target consumer and competitive price competition. Sales promotions have not been managed optimally and sales data management is still manual (notes). Owners also have difficulty monitoring sales reports in real time. Website created using CMS Wordpress to help Shapro Official difficulties. The system development method is Rapid Application Development (RAD). System analysis method using fishbone diagram and system modeling using Unified Modelling Language (UML). The results showed that the existence of a website can help the management to manage promotions, sales and sales reports. Having a website makes sales targets focus and increase. 
 

This research is a type of field research, where the author goes directly to the field in processed tempeh SMEs in Tempe Processed Village, Sampangan Village, Gajah Mungkur District, Semarang City. The study used data analysis techniques, namely qualitative methods with a descriptive approach. In analyzing the data, the researcher conducted observations, interviews, and documentation to obtain the required data. The results showed that to survive the COVID-19 pandemic, the efforts made were marketing through social media, promotion through social media and maintaining the quality of products and services from Tempe Processed SMEs.

Sentiment analysis of comments from visitors to tourist attractions and the public on tourist attractions in Sukabumi Regency which is one of the areas with various categories of tourist objects and is a sector of economic income for the surrounding community or for related parties such as the government and managers, in sentiment analysis research This includes using the Nave Bayes classification algorithm to examine the sentiment of tourist visitors and the performance of the classification model used. The data used in this research was taken from the website from Tripadvisor and Google Maps using a crawling technique, which then processed the data by a pre-processing process and then applied a classification to the data and got a sentiment visualization by processing word frequency on tourist visitor sentiment data. The results of the accuracy of the model used were re-tested with the k-fold cross validation method and the results of sentiment visualization got the frequency of words that most often appear on negative sentiment labels are garbage, beaches, lacking, places, roads, parking, dirty, entering, caring, clean , expensive, pay, manage, good and water.