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"Meningkatnya penggunaan internet di Indonesia memberikan dampak positif bagi perkembangan e-commerce di Indonesia dengan jumlah pengguna internet telah melakukan transaksi elektronik sebesar 63,5 . Dengan meningkatnya jumlah e-commerce B2C di Indonesia, diperlukannya strategi promosi yang tepat untuk mengetahui preferensi dan potensi pembelian untuk setiap konsumen sehingga dapat meningkatkan transaksi e-commerce tersebut. Web usage mining merupakan salah satu metode yang dapat mengolah data web log pengguna situs web e-commerce B2C menjadi informasi yang dapat digunakan untuk mengklasifikasi keputusan pembelian pengguna situs web. Kombinasi kategori produk pembelian yang tinggi oleh pengguna situs web e-commerce memerlukan teknik klasifikasi multi label yang dapat mengklasifikasi kombinasi pembelian secara bersamaan. Metode Label Powerset dengan algoritme Support Vector Machine SVM digunakan untuk mengklasifikasi keputusan pembelian pengguna situs web e-commerce. Seleksi fitur menggunakan Information Gain dan pemilihan parameter dengan menggunakan Grid Search terbukti dapat meningkatkan akurasi klasifikasi.

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The advance of internet usage in Indonesia has a positive impact on the development of e commerce in Indonesia where 63.5 of internet users have made online transactions. Along with e commerce B2C growth in Indonesia, it is necessary for an effective promotional strategy to know the preferences and potential purchases for each consumer with the result that to increase transactions. Web usage mining is a method having an ability to convert web log data into information used for purchase classification.

The high combination of purchasing product categories by users of e commerce website required a multi label classification technique that could classify those combinations. Label Powerset method with Support Vector Machine SVM algorithm was applied to classify e commerce users purchases decision. The proposed feature selection with Information Gain and parameter selection using Grid Search could prove that they had an ability to enhance classification accuracy."

"Peningkatan persaingan dan kunjungan di situs web e-commerce shopping mall di Indonesia perlu disertai dengan meningkatkan strategi Customer Relationship Management CRM . Strategi yang bisa digunakan adalah peningkatan kualitas pelayanan, hal ini bisa di implementasikan melalui penyusunan sistem rekomendasi produk di situs web e-commerce tersebut. Untuk menyusun sistem tersebut, penggalian pola asosiasi produk dilakukan dengan memanfaatkan data web log yang berisi data navigasi dan pola kebiasaan pelanggan. Hal tersebut diakomodasi oleh metode web usage mining yaitu association rules. Algoritma yang digunakan adalah algoritma yang memberikan input asosiasi berdasarkan frekuensi item, yakni algoritma Apriori. Untuk menguji dan menyeleksi pola yang dihasilkan, objective interestingness measure dilakukan dan menghasilkan 25 luaran pola asosiasi.

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An increasing of competition and visitors on e commerce shopping mall websites in Indonesia, need to be accompanied by improving Customer Relationship Management strategy. A strategy that can be used is improving the quality of services, it can be implemented through the preparation of product recommendation system on the e commerce website. To compile the system, pattern recognition of product association is conducted by utilizing weblog data which contains navigation data and customer behavior pattern. It is accommodated by web usage mining method that is association rules. The algorithm applied is an algorithm that provides input association based on item frequency, i.e Apriori algorithm. To test and select the resulting pattern, objective interestingness measure was performed and yields 25 outcomes of the association pattern."

"E-commerce adalah masa depan industri ritel. Pertumbuhan eksponensial mereka telah menjadi pusat pendapatan online dalam 10 tahun terakhir, terutama di Indonesia. Indonesia adalah salah satu negara dengan pertumbuhan tertinggi dalam transaksi E-commerce online beserta jumlah perusahaan ritel online. Di Indonesia, tiga perusahaan yang menonjol dalam hal kunjungan situs web dan tingkat pertumbuhan mereka yaitu Bukalapak, Shopee dan Tokopedia. Dengan adanya tingkat persaingan yang tinggi dalam industri, tiga perusahaan ini harus mengetahui preferensi konsumer dalam berbagai aspek E-commerce, terutama mekanisme promosi perusahaan. Mekanisme promosi perusahaan E-commerce harus diprioritaskan agar sesuai dengan kebutuhan konsumen. Namun, mekanisme promosi untuk meningkatkan loyalitas konsumen belum disepakati oleh berbagai penelitian. Penelitian ini bertujuan untuk mengidentifikasi penentu utama loyalitas E-commerce dalam pembentukkan niat pembelian kembali. Dengan demikian, penelitian ini menggabungkan dua model yang menambahkan faktor website quality dan product related factors dalam mengukur efek keduanya terhadap repurchase intention melalui perceived consumer and seller relationship value and perceived value. Faktor website quality meliputi system quality, information quality dan E-service quality. Penelitian ini menggunakan 298 responden dari survei yang dilakukan di beberapa daerah di Indonesia yaitu di Medan, Jabodetabek, Bandung, Semarang, Bali dan Makassar. Selanjutnya, data dianalisis menggunakan metode partial least square structural equation modelling dengan menggunakan software SmartPLS 3.2.8. Temuan dari penelitian ini menunjukkan bahwa system quality dan E-service quality memiliki pengaruh signifikan terhadap perceived consumer and seller relationship value sedangkan information quality tidak memiliki pengaruh yang signifikan. Perceived quality dan price competitiveness memiliki efek langsung terhadap perceived value sementara perceived price competitiveness memiliki efek langsung terhadap perceived quality. Perceived consumer and seller relationship value dan perceived value memiliki pengaruh signifikan terhadap repurchase intention dari konsumer Bukalapak, Shopee and Tokopedia.

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E-commerce is the future of retail industry. Their exponential growth has been the centre of online revenues in the last 10 years, especially in Indonesia. Indonesia is one of the highest growing country in terms of the online E-commerce transaction as well as the number of online retail companies. In Indonesia, there are three companies that stands out in terms of website visits and growth rate which are Bukalapak, Shopee and Tokopedia. As there is high level of competition in the industry, determining consumer preferences in several aspect of these E-commerce companies, especially their promotional materials is crucial. The E-commerce companies promotional mechanism should be prioritized to match consumer's needs. However, the determined promotional mechanism to increase consumer loyalty is not yet agreed upon by researchers.

This study aims to identify the main determinants of E-commerce loyalty in the form of repurchase intention. In doing so, the research combines two models which adds website quality factors and product related factors in measuring their effect towards repurchase intention through perceived consumer and seller relationship value and perceived value. Website quality factors include system quality, information quality and E-service quality. The research was measured using 298 responses from a survey conducted in several areas of Indonesia which are Medan, Jabodetabek, Bandung, Semarang, Bali and Makassar. Furthermore, the data was analysed using partial least square structural equation modelling, using the software of Smart PLS 3.2.8.

The findings of this research indicates that system quality and E-service quality has significant effect towards perceived consumer and seller relationship value while information quality does not. Perceived quality and price competitiveness has a direct effect towards perceived value while perceived price competitiveness have a direct effect towards perceived quality. Finally, perceived consumer and seller relationship value and perceived value has a direct effect towards repurchase intention of Bukalapak, Shopee and Tokopedia consumers."

"Perkembangan teknologi dan komunikasi yang pesat saat ini telah membawa kita pada era digital, di mana media teknologi dan komunikasi, seperti internet menjadi salah satu media yang dikenal semua orang dan digunakan untuk berbagai keperluan. Hal ini tidak hanya disadari oleh kaum awam, namun juga seluruh perusahaan dan organisasi, baik sosial maupun komersial. Banyak perusahaan melihat situasi ini sebagai ruang atau media baru untuk melakukan ekspansi bisnis sebagai cara yang inovatif dalam melakukan kegiatan perekonomian yang memenuhi ekspektasi masyarakat terkait aspek kemudahan, dikenal dengan istilah e-commerce. E-commerce menjadi salah satu alternatif pilihan bagi perusahaan sebagai media informasi yang memudahkan adanya interaksi antara penjual dan pembeli tanpa dibatasi ruang dan waktu, yang mana kemajuannya didukung oleh penggunaan website. Bagaimana pengalaman pengguna selama berinteraksi dengan website menjadi kunci penting dalam kemajuan e-commerce. Penelitian ini memberikan bentuk model pengalaman pengguna website e-commerce agar mampu meningkatkan keberhasilan performa bisnis e-commerce melalui penggunaan website. Penelitian ini berfokus pada e-commerce jenis C2C di Indonesia dengan tujuan untuk memodelkan hubungan antar faktor dalam UX.

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The rapid technology and communication developments today have brought us to the digital age, where its media, such as the internet become one famous media that is widely used for various purposes around the world. The advantages of this era are not only realized by the laity, but also all companies and organizations, both social and commercial.

Many organizations view this situation as a space or new media to do business expansion as an innovative way of doing activities that meet the communities expectations of economy related aspects of convenience, known by the term of e commerce, which became one of the alternative options for the organizations as a medium of information which facilitates the presence of interaction between sellers and buyers without limited time and space, where their progress was supported by the use of the website. How the user experience in interacting with the website become an important key in the advancement of e commerce.

This research provides user experience modeling on e commerce website in order to be able to increase the success of e commerce business performance through the use of the website. This research focuses on e commerce type of C2C in Indonesia with the aim to model of relationships factor in term of user experience using structural equation modeling."

"Web usage mining (WUM) is an implimentation of data mining,methods for knowledge discovery of web usage data. One of WUM functions is applicated for Business Intelligence (BI) to provide web user classification for acquisition,penetration,and retention os web user...."

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"ABSTRAKPeningkatan jumlah pengguna internet di Indonesia menunjang pertumbuhan platform e-commerce. Adanya potensi basis pelanggan yang lebih besar dan lebih beragam menjadi peluang sekaligus tantangan akibat peningkatan persaingan yang terjadi antar platform. Oleh karena itu, e-commerce perlu mengembangkan strategi pemasaran digital untuk menarik dan mempertahankan pelanggan. Sistem rekomendasi merupakan salah satu bentuk personalisasi layanan web yang dapat menunjang aktivitas pemasaran dengan memprediksi preferensi pengguna dan membantu menemukan produk yang mungkin diminati. Menilik pentingnya integrasi antara ecommerce sebagai advertiser dengan publisher dalam konsep strategi pemasaran, penelitian ini dilakukan untuk menganalisis preferensi pelanggan terhadap kategori produk berdasarkan pola navigasi yang terintegrasi pada website publisher dan e-commerce dengan membangun sistem rekomendasi terintegrasi antara e-commerce sebagai advertiser dengan publisher melalui ad platform menggunakan web mining. Berdasarkan hasil penelitian ini, model prediksi preferensi pelanggan terhadap kategori produk yang dibangun berdasarkan pola navigasi pelanggan pada e-commerce menggunakan algoritma decision tree C5.0 memiliki kinerja yang baik untuk memprediksi kategori produk preferensi pengguna dalam permintaannya di masa mendatang. Namun, proses integrasi pola navigasi dan topik penelusuran pada publisher kepada pola navigasi pelanggan pada e-commerce belum dapat memberikan pengaruh yang signifikan terhadap performa model prediksi preferensi pada e-commerce.

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ABSTRACT Increasing number of internet users in Indonesia boosts the development of e commerce platform. Whereas potential access to a larger and more diverse customer base is generally viewed as an opportunity, it can also represent increase in competition among e commerce platforms. Hence, e commerce needs to develop sophisticated digital marketing strategies to attract and retain customers. Recommendation system is one of web service personalization which enhances marketing activity by predicting user preferences and helps them find products that they may be interested in. Given the importance of integration between e commerce as advertiser and publisher in marketing strategy concept, this research was done to analyze customer preferences towards product categories based on navigation pattern in both publisher and e commerce by building integrated recommendation system between e commerce as advertiser and publisher through ad platform using web mining. Based on the results of this study, predictive models of customer preferences towards product category builds based on customer navigation pattern on e commerce using decision tree C5.0 algorithm has good performance to predict user preferred product categories in future demand. However, the integration of customer navigational patterns and search topics in publishers to customer navigation patterns in e commerce has not been able to significantly influence the performance of customer preference prediction models in e commerce."