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The hydroponic system uses water as the most important element in brewing equipment, which is well known as nutrients for plant growth, as in nature. It was done by creating and developing a nutrient solution suitable for the plant you want to try. However, not all kinds of plants can apply hydroponic systems. There are several calculated criteria for selecting a suitable hydroponic method for a certain type of plant. This is one of the underlying factors driving the current development of information technology and supports it and learned how to grow hydroponics by taking SMART method. As the name suggests, the SMART method aims to make multi-purpose decisions and make choices among a number of alternatives. Alternatives consist of individual attributes. It's a set price. A hydroponic system suitable for any type of plant is selected to ensure a 67% accuracy. [ABSTRACT FROM AUTHOR]

Before entering elementary school level, children will learn through Pendidikan Anak Usia Dini (PAUD). PAUD activities are varied and involve several motoric movements such as standing, sitting, singing, dancing, etc. In order to allow parents to be able to monitor the activities of their children at PAUD, a child activity monitoring system is developed. The proposed system is built on two platforms, i.e. the web-based platform for monitoring children's activities and the mobile-based platform for viewing children data that were input by the school administrator. [ABSTRACT FROM AUTHOR]

Forecasting is a method for predicting future events based on time series data. Most forecasting is done for daily, weekly, monthly, even yearly. Forecasting the Air Pollutant Standard Index (ISPU) in DKI Jakarta can be used for future decision making and preventive measures. The method used is the triple exponential smoothing method from Holt-Winter with alpha = 0.4, beta = 0.01, and gamma = 0.05. Forecasting results are tested by measuring the error rate of the MAPE value and producing a MAPE of 30%, so that the Holt-Winter method has an accuracy of 70%. Forecasting results are visualized on a dashboard for use by local authorities. [ABSTRACT FROM AUTHOR]

Hotel is one of the facilities that are often sought after by they who need a place to stay for purposes such as business, travel and many others. The purpose of making this program is to assist in hotel selection by providing hotel recommendations or suggestions for users. In assisting the hotel selection, the Decision Support System (DSS) is used. The calculation process in this decision support system uses the Simple Additive Weighting (SAW) method to find the normalization value and continues with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to get the recommendation results. The use of the SAW and TOPSIS methods is because the method is easy to understand and easy to apply to the program created. This hotel recommendation decision support system in Jakarta was built using the CodeIgniter 4 framework with PHP, HTML, and CSS programming languages. XAMPP and MySQL as databases. There are four criteria used in the calculation process, namely location, price, rating, and facilities. Recommendations will display the best ten data. The test results get an accuracy value of 67.5% with the calculation process using a confusion matrix and 92.26% based on the response given by the application user. It can be concluded that the decision support system made provides good recommendation results when calculated using the confusion matrix and gets a positive response from users who have tried to use this program. [ABSTRACT FROM AUTHOR]

Today, starting a new business does not necessarily require a major capital and an office or a shop. Dropshipping have been popular with many people and is a solution for novice entrepreneurs. It is also one of the strategies by the government to increase the number of MSMEs. The application design of this research is made to support user decisions in choosing the right dropship supplier. Drop-shippers deal directly with suppliers and customers, but they need not to consider about stockpiling or warehousing. Instead, it requires a good communication skill and expertise in product selection. This application takes into account the important criteria used to calculate the value in choosing a dropship supplier. The design of this application uses the Simple Additive Weighting (SAW) method, which is suitable for determining and sorting out good supplier choices. [ABSTRACT FROM AUTHOR]

Globalization causes the cross-border trade process to continue and overgrow. This makes companies engaged in saying logistics & transport must also develop. Every aspect of a company has a role in the development of that company. Control and evaluation are essential functions in management to ensure that the organization's work plan can run well so that the organization's final goals can be achieved. The data mart is built with a 9-step method Kimbal data mart is implemented in PT Bollore Logistic's PIB department data from January 2017 to November 2020. Data marts are used for calculating delivery KPI (Key Performance Indicator) based on PIB (Imported Goods Delivery) data. The calculation includes the number of shipments, the number of goods delivered, the number of delays, and the delay's status for each month. The KPI calculation results will be visualized using Power BI. [ABSTRACT FROM AUTHOR]

The selection of transportation mode in a megapolitan city is a challenging selection for people who exist in Indonesia, especially workers in arranging their trip time by using transportation mode, especially Commuter Line train that is managed by PT. Kereta Commuter Indonesia (KCI) to their destination during the COVID-19 pandemic. Hence, this study aims to provide a delineation of the opinions of KCI passengers about the level of the expeditious trip with KCI during the COVID-19 pandemic that can be taken into consideration for that passenger and potential passenger. The application of the sentiment analysis method in the classification of those passenger opinions through Twitter is Naive Bayes. The number of those opinion classifications are 3, namely positive, negative, and neutral. This research methodology starts with problem identification, compiled data, pre-processing, classification process, evaluation, and data visualization. The resulting accuracy is 0.857. [ABSTRACT FROM AUTHOR]