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Supriyanto Supriyanto; Eka Satria Wibawa

Jurnal Elektronika dan Komputer 2020 STEKOM PRESS

Irrigation is a land irrigation system by damming water sources. Irrigation as the provision, regulation and disposal of water to support agricultural needs. Irrigation is generally used by farmers, especially farmers in rice fields to irrigate and provide water supply to agricultural land, monitoring water stock in rice fields must be done frequently because rice water needs must be balanced with a lack of water supply or excess water supply in rice fields is not good for rice growth . So far, farmers have monitored irrigation channels manually, the location of the rice fields from the farmer's house often causes rice plants to experience scarcity because the floodgates are not opened when the water supply is running low or experiencing water supply. excess because the floodgates are opened for too long, this will greatly disturb the growth of rice plants. Making a monitoring and control system for irrigation channels using a water level sensor installed on the ESP 8266 microcontroller (Wemos D1), the system uses a programming language c. This tool can be used to open the irrigation door if the water supply in the rice fields is below the minimum limit and will close the water gate when the water supply has reached the maximum limit, the servo motor is used to open and close the floodgates. . . The monitoring results obtained will be displayed to users in real time through the android application interface and will be stored in the form of a text file on the storage media.

Maulidah, Mawadatul; Maulidah, Mawadatul; Windu Gata; Rizki Aulianita; Cucu Ika Agustyaningrum

EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS 2020 LPPM Universitas Sains dan Teknologi Komputer

With the increasing development of technology the more variety of books circulating on the internet. As is the recommendation system on online book sites that provide books relevantly and as needed with one's preferences. One alternative is GoodReads, a social networking site that specializes in cataloging books and users can share reading book recommendations with each other by rating, reviewing, and commenting. As a large book recommendation site, it has a lot of data that can be processed by applying machine learning methods, but still not known as the most accurate model. By using the right model, we can provide more accurate recommendations. Therefore, this study will analyze the data obtained from the www.kaggle.com namely the goodreads-books dataset. This study proposed a data mining classification model to get the best model in recommending books on GoodReads. The algorithms used are Decision Tree, K-Nearest Neighbor, Naïve Bayes, Random Forest, and Support Vector Classifier, then for model evaluation using accuracy, precision, recall, f1-score, confusion matrix, AUC, and Mean Error Absolute. The test results of several classification algorithms found that Decision Tree has the highest accuracy among the methods presented by 99.95%, precision by 100%, recall by 96%, f1-score of 98% with MAE of 0.05 and AUC of 99.96%. This is proof that decision tree algorithms can be used as book recommendations based on book categories on GoodReads.

Enny Diah Astuti; Nika Sintesa

KOMPAK : Jurnal Ilmiah Komputerisasi Akuntansi 2020 Universitas Sains dan Teknologi Komputer

Digital Business is experiencing rapid growth, including in the online-based food business. The Internet is creating a new face in interactive communication between sellers, consumers and business partners. This allows the company to be able to interact and work together continuously to be able to develop products, marketing, delivery and maximum service to get customer satisfaction. One type of business that is currently growing rapidly and is very popular with customers is food delivery services including go food, grab food and shopee food. This delivery service will increasingly compete according to the response from customers, influenced by the quality of service. The purpose of this study was to find out how service quality affects customer satisfaction, especially in online- based food delivery applications. The research used in this research is quantitative analysis method. The method used is to collect information obtained from questionnaires. Variable indicators were tested for validity and reliability. In testing this validity using the Pearson Correlation approach. The reliability test in this study used Cronbach, Alpha coefficient. The results of the study explain that the service variable partially has a positive effect on customer satisfaction. The influence of service quality provided by service providers and service partners is very well responded by application users.

nugroho, setiyo adi; Magriyanti , Arie Atwa

JURNAL ILMIAH KOMPUTER GRAFIS 2020 UNIVERSITAS STEKOM

Developing of prototype now are became easier with the existence  of 3 d printer, now is common known as rapid prototyping method. There are many different method on 3d printing depend on material used for printing. The wide range of material that can be print using 3d printer such as metal to plastic even ceramic. The rapid prototyping using 3d printer have various advantage compare to traditional prototyping. The development of 3d printing makes it not only for prototyping but can be a small batch manufacture, where economic scale of production cannot be reach with traditional production. The fast development of computer and internet technology have big impact on the 3d printer development, before the development of reprap 3d printing was only knew by industrialist and manufacturer. After reprap born, 3d printer is became more common to personal user. People can have their 3d printer at home. People can design their own product using CAD software and send it to 3d printer, or send it via internet to print by 3d printing company. Even there ara lot of advantages of 3D printer development , there is some disadvantages of 3d printer, especially on regulation.