Planning and analyzing market needs precisely and efficiently if managed optimally is needed to achieve company success. In practice, existing transaction data used as a reference in planning and analyzing market needs. This company needs a tool to predict future sales. This information is needed because a good sales prediction will help understand what items must be distributed according to market needs so that companies can reduce uncertainty in decision making. The purpose of this study is to create an information system can do smartphone sales forecasting at 82 Cell Mayang with the Linear Regression method. The sales forecasting system is using the Linear Regression method, The goal to create a sales forecasting system by determining the sales volume with a certain period by looking at the cost of advertising and the number of sales. The research method used includes observation, interviews and literature studies. Designing using DAD includes entity relation diagrams, context diagrams, the hierarchy of input process output and data flow diagrams. The programming language used is Visual Basic.Net and the sql server 2008 database. Features in the sales forecasting application include processing data items, customer data, incoming product data, sales data, and forecasting data. The test results show the MAPE value is 0.032 and the MSE value is 5.16. From this value, it can be said that the prediction of smartphone sales with the Linear Regression method on 82 Cell Mayang is categorized as very good. Whereas for the blackbox testing that has been carried out, it shows that the smartphone sales forecasting system in 82 Cell Mayang, Sukoharjo has been going well.Keywords: forecasting, sales prediction, incoming product data, linear regression, visual basic

Karyawan PT Telkom Access Surakarta ditugaskan menyediakan dan menyiapkan bahan dengan jumlah dan waktu terbatas. Agar dapat dipenuhi, karyawan melakukan pekerjaan dengan cepat termasuk koordinasi, pengadaan, produksi, pasokan produk, termasuk administrasi harian dan memproses informasi dari teknisi kepada pelanggan untuk membuatnya lebih mudah untuk menggunakan aplikasi Alista. Apakah persepsi Desain Sistem, Kemudahan Sistem, Sikap penerimaan sistem, Perilaku menggunakan sistem diukur seberapa besar pengaruhnya terhadap kondisi nyata penggunaan sistem yang dipercaya oleh karyawan. Metode yang digunakan untuk pengukuran hasil penelitian dengan menggunakan TAM.  Sampel penelitian 78 karyawan. Berdasarkan hasil analisis diketahui bahwa 35,2% dari empat variabel bebas yaitu Desain Antarmuka, Kemudahan Sistem, Sikap Penerimaan Sistem, Perilaku Penggunaan Sistem mempengaruhi kondisi nyata penggunaan sistem informasi. Berdasarkan hasil kuesioner dari semua responden terhadap variabel pertanyaan yang diteliti, hasil TAM dalam persentase 44% jawaban responden rata-rata sangat setuju dan 55% jawaban responden setuju.

Teknologi internet hadir sebagai media yang multifungsi. Internet juga dapat dijadikan sumber belajar. Keputusan guru Sekolah Dasar yang menggunakan internet sebagai sumber belajar siswa, dipengaruhi oleh banyak hal. Keterbukaan informasi bisa memudahkan kita tapi disisi lain bisa berisiko. Pengaksesan internet perlu pemahaman teknologi dan sarana pendukung sehingga efektif dan efisien. Penelitian ini menggunakan pendekatan model perilaku pemanfaatan teknologi informasi dalam literatur sistem informasi manajemen yaitu technology acceptance model (TAM). Analisa data dengan statistik diskriptif menggunakan analisa regresi. Obyek penelitian adalah guru-guru Sekolah Dasar di kota Surakarta. Penelitian ini bertujuan untuk mendiskripsikan tingkat pengaruh persepsi kegunaan, kemudahan, dan resiko terhadap minat guru dalam menggunakan sumber belajar bagi siswa. Hasil penelitian menunjukkan bahwa persepsi kegunaan berpengaruh 0,403, persepsi kemudahan berpengaruh sebesar 0.133 dan persepsi resiko berpengaruh negatif sebesar 0,133 terhadap minat guru Sekolah Dasar menggunakan internet sebagai sumber belajar. Guru Sekolah Dasar menggunakan internet sebagai sumber belajar dengan merekomendasikan situs-situs tertentu dengan didampingi orang tua. Keywords: sumber belajar, guru, TAM, analisa regresi

One of the important thing in business is the inventory of goods and services. Business goal can be reached when business owner know how the number of their inventory. Printing business is using forecasting model in their purchasing raw materials to estimate and calculate their selling prediction. That model is used to minimize economic losses when the costumer canceled order because paper was ran out and to prevent paper damage does not occur date to storage that to long. Double Exponential Smoothing method is used in this research to predict the sales of Paper A and HVS A3+ paper and calculates the prediction error with MAPE (Mean Absolute Percentage Error). This study aims to make an accurate forecasting application. The prediction results from application are in the form of prediction calculations for sales in the following month which will be used to optimize the purchase of paper to be sold. In applying the research results of Paper A and HVS A3 +, the best alpha was obtained in the 12th period, namely 0.3 and 0.6 with a MAPE error of 12% and 18% and an accuracy rate of 88% and 82% where the alpha was used to predict period 13 and produces a forecast value of 446 for Paper A and 474 for HVS A3 +

The Blended Learning learning model is a system that collaborates classroom face-to-face learning with online learning. This study aims to measure the acceptance of the Blended Learning learning model among students. The variables developed refer to the Technology Acceptance Model (TAM), which is a model of user acceptance of information systems. The data obtained were analyzed by descriptive statistics and qualitative analysis. The results showed that in general the use of the Blended Learning learning model could be accepted by students in the category of Good approaching is Very Good. The mean value of all aspects reached a value of 3.94 on a scale of 5 (79%). The results of qualitative analysis were in line with the results of quantitative analysis. Students received good use of e-Learning while maintaining face-to-face learning activities in class. The results of this study can be used as a basis for recommending the selection of learning methods in universities