Electronic commerce (e-commerce) transactions in a country must be continuously improved to support the country's economic development. E-commerce owner are looking for efforts / strategies to increase sales. The effort that can be done is to conduct an study of impulsive purchases online. The framework used to conduct this study is SOR (Stimulus, Organism and Response). The purpose of this study is to identify the factors causing impulsive purchases online and which factors that have the highest contribution. This study focuses on mainstream e-commerce websites such as: tokopedia, lazada, bukalapak, shopee, and elevenia. The number of respondents was 105 people. Data analysis techniques are Descriptive Analysis. To strengthen the data, the researchers conducted interviews with 10 respondents. The findings of this study are the factors causing impulsive purchases: (1) Promotion / discounts; (2) Flash sale; (3) Popular this week item; (4) Hot list product; (5) Payment installment facilities. Factors that have the highest contribution are Promo / discount with a value of 64.8%. Promos / discounts are the most influential an impulsive buying desire in conventional markets and e-commerce

Facial treatments or skincare treatments contained in beauty care are divided into two categories, namely home treatment (such as giving face soap, morning cream, night cream, etc.) and direct care (such as facials, chemical peels, and so on). Home treatment facials consist of a variety of care products. Each home treatment product has a specific function both for treating the face or fixing the skin on consumers' faces such as acne, black spots, blackheads, oily skin, and others. Therefore, in order to determine the right home treatment product for consumers, knowledge of the usefulness of a home treatment product is needed. One of the factors of trade problems that exist in Batam City, there are still many products that enter without knowing whether the product is safe or not to be used, especially for cosmetic or skincare products where many cosmetic products are not licensed by BPOM but can still be traded to the people of Batam City. Finding skincare cosmetics that are good for the community is very difficult, because too many skincare products are sold in the market that do not have a BPOM permit and it will be dangerous for people who use these products. It is also due to the absence of a recommendation from a doctor or a beautician, which causes the wrong or bad skincare selection and will have a bad impact on one's face. The purpose of this study was to make recommendations for the use of skincare products in Batam City. For this reason, through this research, the researcher intends to apply one of the data mining techniques with the naïve Bayes algorithm with software implementation using the Tanagra 4.1 software, where the results of this study can be used to see consumer buying patterns that have been neglected to increase product sales, and also see the decisions made to help recommendations for skincare use in Batam City.

Small Medium Enterprise (SMEs) have a strategic role in the development of a country. Every SME needs to improve its competitive advantage. One way to improve the competitive advantage is to utilize social media in running the business. The research aims to This study aims to implement the use of social media with reference to the AIDA Model for SMEs. The fresearch focuses on social media facebook. SMEs are given training in using social media. Training participants as respondents from this research are 20 SMEs. The data analysis technique used is Miles and Hubermann. Results from this study indicate that the AIDA model can be used as an approach in using social media facebook. A total of 20 SMEs have been trained to use social media facebook based on AIDA model. Keywords: Social Media; Small Medium Enterprise; AIDA Model AbstrakUsaha Kecil dan Menengah (UKM) memiliki peranan strategis dalam pembangunan suatu negara. Setiap UKM perlu meningkatkan keunggulan kompetitifnya. Salah satu cara meningkatkan keunggulan kompetitif tersebut adalah dengan memanfaatkan media sosial dalam menjalankan bisnis. Penelitian ini bertujuan untuk mengaplikasikan penggunaan media sosial dengan mengacu pada Model AIDA bagi UKM. Penelitian ini fokus pada media sosial facebook. Pelaku UKM diberikan pelatihan dalam menggunakan media sosial. Peserta pelatihan sebagai responden dari penelitian ini sebanyak 20 orang pelaku UKM. Teknik analisis data yang digunakan adalah Miles dan Hubermann. Hasil dari penelitian ini menunjukkan bahwa Model AIDA dapat digunakan sebagai pendekatan dalam menggunakan media sosial facebook. Sebanyak 20 pelaku UKM telah mendapatkan pelatihan menggunakan media sosial facebook berdasarkan pada Model AIDA.Kata kunci: Media Sosial; Usaha Kecil dan Menengah; Model AIDA PendahuluanDi Indonesia, UKM mempunyai peranan strategis dalam pembangunan, hal ini ditunjukkan dalam Rencana Pembangunan Jangka Panjang Nasional (RPJPN) 2005-2025 yang dinyatakan bahwa untuk memperkuat daya saing bangsa, salah satu kebijakan pembangunan dalam jangka panjang adalah memperkuat perekonomian domestik berbasis keunggulan masing-masing wilayah menuju keunggulan kompetitif. Perwujudan kebijakan ini dapat dilakukan salah satunya adalah melalui pengembangan UKM (Rahmana, 2009).Untuk mencapai keunggulan kompetitif, UKM dapat memanfaatkan teknologi yang sedang berkembang pesat saat ini. Teknologi yang dimaksud adalah internet dan media sosial. Peran media sosial dapat dimanfaatkan kini mulai beralih. Awalnya sosial media berperan sebagai media komunikasi antar individu, namun kini telah berubah menjadi bagian penting dalam dunia bisnis. (Öztamur dan Karakadılar, 2014) menyatakan bahwa media sosial berperan sebagai alat pemasaran baru yang penting dalam dunia bisnis.Media Sosial menawarkan metode komunikasi pemasaran yang unik (Eagleman, 2013). Pemasaran media sosial yang memanfaatkan aplikasi menjadikan media sosial sebagai perpanjangan untuk memenuhi pemasaran tradisional. Pemasaran kegiatan melalui aplikasi online memungkinkan terjadi k...

Electronic commerce (e-commerce) transactions in a country must be continuously improved to support the country's economic development. E-commerce owner are looking for efforts / strategies to increase sales. The effort that can be done is to conduct an study of impulsive purchases online. The framework used to conduct this study is SOR (Stimulus, Organism and Response). The purpose of this study is to identify the factors causing impulsive purchases online and which factors that have the highest contribution. This study focuses on mainstream e-commerce websites such as: tokopedia, lazada, bukalapak, shopee, and elevenia. The number of respondents was 105 people. Data analysis techniques are Descriptive Analysis. To strengthen the data, the researchers conducted interviews with 10 respondents. The findings of this study are the factors causing impulsive purchases: (1) Promotion / discounts; (2) Flash sale; (3) Popular this week item; (4) Hot list product; (5) Payment installment facilities. Factors that have the highest contribution are Promo / discount with a value of 64.8%. Promos / discounts are the most influential an impulsive buying desire in conventional markets and e-commerce

Industrial Internet of Things (IIoT) combines a network of machines and devices with increased intelligence and is defined through software. The purpose of this research is to find out how to read sensors in all production machines in a molding department, how to convert and store data from production machines to databases, how to display in web applications and read by all devices for decision making materials and to find out the added value obtained by the molding department with the Internet of Thing. The method used uses the SDLC method: planning, design analysis and implementation. The results of his research that with IoT we can read sensors in all production machines in a molding department, can convert and store data from production machines to a database that will become big data, can display in web applications and read by all devices for decision making materials and can get added value such as interconnection, information transparency and decentralized decisions.