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.

Developments in the current era of globalization are very dependent on the economic sector which is the benchmark of success carried out by the government. The role of the community in national development in the economic field is the existence of Micro, Small and Medium Enterprises (MSMEs). To increase the role of MSMEs as a benchmark for the success of the economic sector, there must be support from the government, such as assistance for business owners with limited costs. The purpose of this study is to determine community business groups as a measure of the level of business, making it easier for the government to provide assistance. The K-Means Clustering method is a method used for grouping business levels based on the income that exists in today's society. The result of this research is a website-based business-level grouping system used by the Cooperatives and SMEs Office by grouping them into micro, small and medium-sized businesses based on income/assets.

This research is a classroom action research which the aims is to form students character in the classroom learning process and to determine student activities and student learning outcomes in VIIIB class at Darul Mukhlasin MTs for the 2019/2020 school year with 26 students as the reserh subject. Data collection methods used were documentation, observation, tests and interviews than data analysis in this study using qualitative analysis with the percentage of student activity and student learning outcomes. Based on the results of the study, it was obtained that the average percentage of student activeness in the first cycle was 59%, and in the second cycle it was 80%. This shows that from cycle I to cycle II student learning activities increase. Student learning completeness before the study was 42.3%, in the first cycle it was 53%, and in the second cycle it was 91%. This shows that from before the research to cycle I then to cycle II student learning outcomes have increased. Keywords: discovery learning, learning activity and learning outccomes.

The Gumpang Village Head Office is one of the village government offices that provide both economic and social services. In the service of the village head, there is a social program that every month there is a program for poor families, which is included in certain criteria governed by the rule of government in the village head gumpang. The all citizens are entitled to get Raskin, but only for those who belong to the poor family scope and food insecurity to support his family. For that in determining the poor family (based on criteria such as Earnings, Dependence Children, Home Conditions. Raskin program is only devoted to the poor citizens only. So as the village head is obliged to be able to select or select its citizens, to determine as the poor recipients of Raskin. Because the condition of the society is so diverse and the status of different citizens and there are various upheavals between the poor and the poor, where the citizens in the village of gumpang that look poor not necessarily poor and the citizens who look rich not necessarily rich, because citizens changed from rich to poor, poor to rich, making it difficult for village heads to determine poor families as Raskin recipients. Solution to handle the problem is to make Decision Support System used method SAW (Simple Additive Weighting). This method is chosen because this method is capable for the ranking process which will select the best alternative from a number of alternatives (poor people) The technique used in this research is with Observation, Interview and literature study The design of this system is made with Context Diagram, HIPO, DAD, inter-table relation and database design. Applications are created using PHP programming languages and databases using My SQL. The old system analysis to calculate the error rate of the old system has an error rate of 1 that is the result difference between the new system with the old system is 1 riping so that the accuracy of the new system is 90%. The system has been made capable of determining the poor based on many criteria resulting in more precise and comprehensive resultsKeywords: Raskin, Population, SAW, Decision Support System