No abstract

Promotional activities with Emotional Intelligence (EI) are more effective than factual information. It is significant in Higher Educational Institutions (HEIs) marketing and reputation management. Choosing an HEI is a crucial decision. Factual information ignites the human brain's analytical characteristics, making logical decisions while choosing an HEI. Promotional activities that target the emotional states push the target group to overlook logic and make emotional decisions. This paper presents a novel HEI Promotional Management Support (PMS) system that utilizes this phenomenon through sentiment analysis to enhance marketing capabilities. A Bi-Directional-Long-Short-Term-Memory (BiLSTM) network has been designed and implemented in this paper to classify the existing students' sentiments into four classes. It classifies the sentiment with an average accuracy of 92.75%. The positive sentiment of the students is used to target the promotional content, whereas negative sentiment guides to avoid content that has the probability of raising negative concerns. The application of this novel PMS system demonstrates a 4.78% improvement in student intake over an observational period of 24 months. The unique concept, effective implementation, and remarkable result indicate that the proposed HEI Promotional Management Support System is a revolutionary application of Artificial Intelligence (AI) to improve student intake rate.

Efforts to understand student performance have long been a highly-researched topic in the field of applied education computing. Current research in the field still places its focus on understanding and analyzing student performance using definitive variables such as the student’s scores and their cognitive capabilities, which by themselves already explain the student’s performance. The great diversity of Indonesian culture, which includes people from a wide range of socioeconomic origins, makes it all the more surprising that so little research has been done to examine the hidden socioeconomic aspects that may affect student performance. Research conducted on a single school may not be generalizable because of the diversity among them in terms of the elements that affect students' academic outcomes. In this investigation, we employ a causal modelling strategy that is data-driven to examine academic achievement. Data was retrieved from a public junior high school in Bali, Indonesia, and then processed with the Non-combinatorial Optimization via Trace Exponential and Augmented lagRangian for Structure Learning (NOTEARS) and Bayesian Network algorithm in order to discover a latent causal structure and the effect between variables discovered from the structure. Findings show that the average skill score of a student is significantly influenced by the distance from school, the education level and income of parents, and their place in the family. Meanwhile, the average knowledge score is mainly influenced by the average skill score, the order in the family, and the parent’s income level. The results of the study also show potential for practical implications where schools, researchers, and governments, can rethink their approach to education by analyzing data with the proposed approach. The limitations of this study include the quality of data to discover patterns and the limited number of variables used to study student performance factors. Future research may consider the use of more holistic, complete variables in order to discover more insights regarding student performance.

The debate about how CSR be done in a time of crisis has received growing attention in recent years, especially in the wake of the COVID-19 crisis. In line with the previous research that CSR could be done even in times of crisis, the findings revealed that several media to large-sized businesses in Bali have still carried out corporate responsibility programs even the tourism and hospitality industry was arguably hit the hardest. This study uses qualitative research via In-depth Zoom interviews and WhatsApp chat to total of 18 Bali’s medium and large tourism business owners. Theme analysis and comparison were then carried out using the NVivo 12 software. The analysis revealed that CSR during a pandemic is still in accord with Elkington’s framework, which highlighted that internal people are as important CSR target audience. Furthermore, the CSR performed was found to be the bridge to industry survival and sustainability. Business owners realized that social responsibility should start from maintaining their business to foster the internal people. CSR during the pandemic includes dividing tasks to increase effectivity and efficiency in the workplace, upskilling workers, and strong leadership in directing teams to achieve their goals. This study found out that the company survival through genuine internal people management is a relevant approach and should be generalizable in the different industry contexts.

Menteri Pendidikan (Mendikbud Ristek), Nadiem Makarim menegaskan bahwa akan memprioritaskan kepada guru atau staf pengajar untuk melaksanakan vaksinasi, sehingga pada minggu kedua dan ketiga di bulan Juli dengan tahun ajaran baru diharapkan semua sekolah sudah dapat melakukan pembelajaran tatap muka secara terbatas dengan tetap memperhatikan protokol kesehatan. Namun dari hasil statistik pada covid19.go.id jumlah kasus terkonfirmasi kembali naik hingga kasus terkonfirmasi hingga tanggal 13 Juli 2021 sebanyak 2,5 juta kasus dan pemerintah kembali menerapkan PPKM Darurat di wilayah jawa dan bali. Hal ini menyebabkan berbagai respons pada masyarakat terhadap pembelajaran tatap muka, Penelitian ini bermaksud untuk menganalisis pendapat masyarakat terhadap pembelajaran tatap muka dan kasus yang kembali melonjak. Penelitian ini menggunakan Scraping Twitter API dengan fitur streaming Tweepy dan Spark untuk pengumpulan data, Spark MLlib dan Spark NLP untuk model klasifikasi dan metode klasifikasi regresi logistik. Hasil analisis yang didapatkan 47.7% sentimen “Neutral” dan 31.4% sentimen “Positive” sedangkan untuk sentimen “Positive” pada pembelajaran tatap muka 20.9%. berdasarkan hasil penelitian ini, dapat dikatakan bahwa masyarakat memiliki opini “Neutral” terhadap pembelajaran tatap muka selama pandemi. bukan berarti masyarakat tidak peduli atau kritis dalam menghadapi kasus. ditemukan bahwa beberapa masyarakat menentang dan membantah pembelajaran tatap muka. akan tetapi, terdapat beberapa masyarakat juga yang mendukung adanya pembelajaran tatap muka agar anak anak mereka dapat kembali ke sekolah untuk menuntut pendidikan seperti semula.  Kata kunci—Analisis sentimen; klasifikasi; sekolah daring; Spark.