Websites are viewed primarily as a platform from which SMEs can portray a sophisticated image and advertise/market their products. One of the main factor affect the adoption of e-commerce by SMEs is the enviroment influence. On small business, the process of recording orders and sales transactions was done manually. These lead to customers complaints because they have to wait for a long time to get the product.  In addition, the owners of small business find it difficult to know the popular products among customers. Moreover, the companys are eager to reach out to potential customers. Therefore, an e-commerce website is required not only as a solution to all these problems but also as a bridge between the business and their customers. The website was developed using the Scrum method. The application development process required three sprints to complete the seventeen product backlogs. The system testing proved the system is running according to its function and is accepted by the user.

Primavera Futsal Surabaya merupakan penyedia layanan reservasi lapangan futsal. Saat ini proses bisnis pemesanan lapangan, cetak laporan, pembayaran, pengecekan ketersediaan jadwal dan promosi event masih dilakukan secara konvensional. Sehingga proses bisnis pada primavera futsal sering mengalami kendala dalam pengecekan jadwal serta pelaporan keuangan. Untuk mengatasi masalah tersebut, pihak Primavera Futsal memanfaatkan perkembangan Teknologi Informasi dengan merancang sistem aplikasi berbasis web. Untuk membangun sistem, metodologi yang digunakan pada penelitian ini yaitu studi literatur untuk mendukung proses penelitian, melakukan analisis user Requirement untuk mengetahui kebutuhan pengguna dan analisis Iconix Process untuk merancang sistem aplikasi. Terdapat 4 tahapan  dalam Iconix Process yaitu Analisis Kebutuhan, Desain Awal, Desain Rinci dan Implementasi. Penelitian ini menjelaskan bagaimana  mendesain sistem pada Primavera Futsal Surabaya menggunakan analisis iconix process. Penelitian ini diharapkan dapat membantu pihak pengelola lapangan Primavera Futsal Surabaya dalam menjalankan proses bisnisnya dan sebagai sumber referensi untuk penelitian selanjutnya.

Pedulilindungi application has many benefits but many controversies arise in the community. Various opinions in the form of tweets were expressed by the public, both positive and negative opinions. In this study, the objective is to make a classification model to classify tweets into two types of sentiment, namely positive and negative. The model is made in several stages, namely data retrieval, data filtering, data labeling, data preprocessing, splitting data train and data test, feature selection using Information Gain and Genetic Algorithm, and then classification using the SVM method. The model using two-stage feature selection and SVM method, obtained an accuracy value of 64.08% with 841 features and processing time of 0.033 seconds with 9.6% CPU usage. The model with two-stage feature selection is more efficient and effective than the one-stage feature selection model whose accuracy value is only 60.56% with 1800 features and a processing time of 0.044 seconds with 15.4% CPU usage.

Attendance is an essential reference for the quality of human resources, including those who will carry out an activity, such as employees and supervisors. In carrying out these attendance activities, some still use it manually, such as recording in a detailed book, and its storage is still classified as conventional. Therefore, an employee attendance system that can record and manage data easily can be done quickly, efficiently, and accurately. This paper aims to analyze and design an employee RFID attendance information system using the ICONIX Process method. This RFID system is made using an RFID E-KTP supported by a database, where the RFID E-KTP is very easy to use. The results of this study are the analysis and design of an information system for implementing an employee attendance system based on RFID technology. The scope of information includes records of arrival times and return times. The results of the analysis and research design can be implemented properly in accordance with the proposed business process and can be a recommendation for various business actors to record employee attendance activities using RFID on the E-KTP.

Agricultural development is essential for the community's survival because it is a major source of food. Food production is a critical component of food security. Food security must be improved to meet market demand, and one of the fundamental goals of agricultural growth is to provide sufficient quantities of food. Increasing demand for natural resources, as well as environmental issues, are putting pressure on the current agricultural supply chain, which includes agricultural land suitability. Land evaluation is a process of analyzing land resources for specific uses using an established technique or method, and it is required to incorporate land appropriateness. According to the criteria, the findings of land suitability will give information and/or land use guidance. The land's appropriateness might be evaluated in its existing state (actual land suitability) or after changes have been made (potential land suitability). To address these issues, the agricultural sector must transition from traditional agriculture to smart agriculture. One of the technologies and system modeling that drives the current technique to smart agriculture with an integrated approach to evaluate the sustainability of agricultural land suitability is the geographic information system (GIS). The Systematic Literature Review (SLR) from prior investigations is presented in this publication. The articles are divided into two groups based on their approaches: agricultural land appropriateness for rice plants and the application of geographic information systems (GIS), comprising agricultural land suitability, site selection, and effect evaluation. The goal of this research is to determine what criteria are significant in increasing the quality of GIS applications in agriculture. This outcome is expected to assist stakeholders in formulating policies based on the performance of GIS data management in enhancing agricultural productivity and promoting agriculture supply chain management.