The developing of marketplace makes many changes in commerce. Start from conventional way and now become online shopping. One of the biggest marketplace in Indonesia is Shopee. Due to the massive electronic commerce activity, this study aimed to know the factor that influenced behavioral intention and use behavior of shopee’s user. This study adopted UTAUT 2 model which has seven variables; performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivations, price value and habit also moderated by age, gender and experience. The analysis of the model was conducted by using SEM-PLS method and analysed with SmartPLS 3. The data of this study was collected by using questionnaire and designed only for Shopee user who stayed in Palembang. The result show if behavioral intention influenced by social influence with T value is 1.985, P value is 0.048 and F square is 0.105 and also influenced by habit with T value is 4.755, P value is 0,000 and F square is 0,512 which achieved the standart value in this study. In other side, this study show if use behavioral influenced by facilitating condition with 2.762 T value , 0,006 P value and 0,140 F square.

No abstract

Deep learning is a part of machine learning method that uses artificial neural network (ANN). The type of learning in deep learning can be supervised, semi-supervised, and unsupervised [7] . CNN & RNN (Supervised) and RBM & Autoencoder (Unsupervised) are deep learning algorithms. All of the above algorithms have uses in their respective fields, depending on what we want to use them for. One of the most frequently used cases for deep learning is object detection and classification. The Convolutional Neural Network (CNN) algorithm is the most widely used algorithm for object detection cases, one of the reasons because it is supported by Google's Tensorflow framework, but it turns out that there is one object detection algorithm that has a higher level of accuracy and processing speed, namely You Only Look Once (YOLO) which can run on 2 frameworks (Darknet & Darkflow) and is supported by GPU. That's why here the author prefers to do object detection with the You Only Look Once (YOLO) method. The research data with the title Palembang Food Detection Object Using the YOLO (You Only Look Once) Algorithm is a sample photo of food from Google Image. There are 31 types of Palembang specialties, each type consists of approximately 50 to 70 images, so the total images used are from 31 types of Palembang foods, namely 1955 images with jpeg format for training data, and 31 images with jpeg format typical Palembang foods for test data.

One of the products of information technology that is common today is the school website. Where the school website is the spearhead for schools in disseminating information to related parties. The most important aspect of a website is the usability aspect because it greatly affects visitor convenience. The use of the website for disseminating information is also used by SMK Negeri Sumsel and the school's main portal on the internet. For that to see the importance of the usability aspect, this study aims to see the level of usability of the SMK Negeri Sumsel website. In measuring the level of usability, usability testing techniques are used with the stages of preparation, selecting respondents, data collection and data analysis. The test results show that the usability aspects on the website such as errors, learnability, memorability and satisfaction get good ratings while the efficiency aspects are not categorized as good.

2) ABSTRAK Kebutuhan informasi menjadi sebuah keharusan bagi sebuah lembaga baik pemerintah ataupun swasta dalam menentukan kebijakan atau tindakan. Kebutuhan informasi tersebut disebkan untuk meningkatkan akurasi atau dampak yang harus dicapai. Dalam bidang pemetaan pasar khususnya di Kota Palembang saat ini masi sangat minim atau dapat dikatakan belum tersedia secara luas yang dapat diakses oleh semua pihak. Sesuai kondisi tersebut maka akses informasi menjadi terhambat terutama dalam bidang pasar yang ada di Kota Palembang. Penghambatan infromasi menyebabkan tidak tersalurkannya bantuan atau kebijakan yang berpihak kepada semua pihak yang terkait dengan pasar. Kondisi tersebut dapat dilihat dalam bidang pembiayaan baik oleh bank maupun perusahaan yang akan menyalurkan dana bantuan berupa CSR. Untuk itu di dalam penelitian ini dilakukan pemodelan sistem informasi pemetaan pasar dengan harapan pihak terkait mendapatkan informasi yang benar. Pemodelan merupakan salah satu mekanisme yang dapat dilakukan untuk menggambarkan sebuah sistem informasi sebelum dilakukan pengembangan. Pemodelan juga dapat menggambarkan cetak biru dari sistem informasi yang akan dikembangkan sehingga memudahkan dalam proses pengembangan itu sendiri. Dari hasil penelitian yang telah dilakukan dalam melakukan pemodelan sistem informasi pemetaan pasar menggunakan unified modeling language (UML) menunjukkan baik pemodelan struktur, pemodelan tingkah laku, dan pemodelan interaksi dapat menggambarkan kebutuhan sistem informasi yang dibuktikan dari hasil prototype sistem infromasi pemetaan pasar yang mampu memberikan infromasi berkaitan dengan keadaan pasar yang ada di Kota Palembang.