Based on statistical data, every year there is an increase in population. This also happened to the increasing number of Catholics. The increase member in Saint Aloysius Church of Mojosongo isn’t accompanied by an increase of seating facilities, to solved this, a device was designed which will show seats that have been used or still empty through a viewer that will be placed near the entrance. The research method used in this study is a quantitative method. The number of seats used by in one block is 25 seats, the seat sample is 9 seats. Three (3) PIR sensors are placed above the row to the seat 2, where the direction of the PIR sensor is drived by a stepper motor with an angle is 22.61°. Detection alternated and sequentially starting from row A, row B and row C. In general, the seat detection system based on ATMEGA16 works according to the design. People can find an empty seat position by looking at the viewer (LED) and looking for LED lights that are not lit.

Covid-19 has spread widely with various variants, disrupting human social activities, the activities in question include the implementation of events, but there are other alternatives by utilizing technology, events can still be held online. However, the number of events that are held online makes it difficult for someone to find the event they want because there are too many events on the website so someone experiences information overload. Therefore, the authors conduct research with the goal to make it easier for someone to find the event they want by implementing a recommendation system on the website. In this study, the authors make a recommendation system using the Content-Based Filtering method in recommending an online event. The results of this study obtained an accuracy of 86% of the performance of the model carried out by SVM.

Fires doesn’t know the place and time, they can happen anywhere and anytime. Some of the causes of fires are human error, electrical short circuit, cigarettes, stoves, etc. As a result, many parties suffered losses, both property, business entities, and casualties. Based on these problems, we need a system that is able to detect fires and take preventive action, namely notifications via the internet using the Blynk application. In this study, the parameters used are the temperature sensor, the MQ-2 smoke sensor and the flame sensor. The output of the system is a buzzer, LED, LCD, and Blynk app as notifications. The Fuzzy Logic method is applied to the system to control the Buzzer, LED, LCD and notification determinants to the Blynk application.

Water is very important for all aspects of life on earth, agriculture is one of the fields that really need large amounts of water because of the use of water in the
process of plant photosynthesis. Water that has good quality is if the water is not excessively polluted by harmful chemicals or minerals. One indicator that water is polluted is a change in temperature and pH (acidity) of the water. Temperatures that are too hot in the water will interfere with the growth of plants and other microorganisms. While the normal pH of water has a pH that ranges from 6.5 to 7.5. The quality of water and soil is very important in agriculture. The level of acidity (pH) and soil temperature are one of the things that affect plant fertility. Therefore, the quality of water and soil on agricultural land is one of the important things that needs special attention in its management. One solution so that water and soil quality can be monitored and managed efficiently is to utilize a Wireless Sensor Network based on the Internet of Things (IoT). The use of the ESP8266 Module as a WIFI module, is widely used by Internet of Things-based applications because the price is cheap so it reduces a lot of costs and has a fairly good speed of 80 MHz. This study aims to develop the concept of a Wireless Sensor Network by utilizing the ESP8266 module to monitor pH values using a pH Meter Analog Kit sensor and temperature from agricultural land using a DS18B20 Waterproof sensor and can be monitored at any time using a smartphone.

Science and technology will facilitate human work. However, on the other hand it will increase competition. In facing intense competition, it is necessary to have competent human resources. Students are expected to be academically prepared, in the form of knowledge and skill readiness to face increasingly fierce competition. One way to see student competence is to look at learning outcomes that can be represented by the exam scores taken. The midterm exam (UTS) is a form of exam which is an assessment component. By knowing the UTS scores, the lecturer knows the distribution of students in terms of academic competence. For this reason, it is necessary to group (clustering) using the k-means algorithm as a consideration for lecturers in forming student study groups based on UTS value clusters.

Pusattinta.com Store is engaged in selling printer ink. The problem faced is difficult to determine the amount of stock to meet customer needs and not cause accumulation of goods for a long time. With the above problems, a forecasting application was made using the Java programming language with the WMA, SMA, and DES methods. The WMA method is assigned a different weight for each available past historical data, SMA is a value smoothing forecasting method by taking a group of observed values ??and looking for the average, DES processes smoothing twice. Where each data is given a weight symbol. The magnitude of is 0 to 1. From the 3 methods, it is known that the average MSE of each method is WMA : 102,898.57, SMA : 89,579,446 and DES : 87,156,989. The method with the smallest MSE average is the most appropriate method to use.

https://docs.google.com/document/d/1GRp64SAOddWDlNhDAZAnhxYRQQ1zKmw-/edit?usp=drivesdk&ouid=115574439482258281947&rtpof=true&sd=true

Tujuan penelitian ini adalah untuk mengetahui pengaruh budaya organisasi terhadap kinerja karyawan pada PT. Mitra Seribu Saudara. Penelitian ini menggunakan metode kuantitatif. Teknik pengambilan sampel menggunakan sampling jenuh dan diperoleh sampel dalam penelitian ini berjumlah 50 responden. Analisis data menggunakan uji validitas, uji reliabilitas, uji asumsi klasik, analisis regresi, analisis koefisien korelasi, analisis koefisien determinasi dan uji hipotesis. Dalam pelaksanaan nya, perhitungan dan pengelolaan data dilakukan melalui SPSS 26. Hasil penelitian ini adalah Budaya Organisai berpengaruh signifikan terhadap kinerja karyawan dengan persamaan regresi Y  = 3,375 + 0,701 (X), koefisien korelasi sebesar 0,893 artinya kedua variabel mempunyai tingkat hubungan yang sangat kuat, nilai determinasi atau kontribusi pengaruh sebesar 0,797 atau sebesar 79,7% dan uji hipotesis diperoleh nilai t hitung > t tabel atau (10,522 > 2,010). Dengan demikian H0 ditolak dan H1 diterima artinya terdapat pengaruh yang signifikan antara budaya organisasi terhadap kinerja karyawan pada PT. Mitra Seribu Saudara.
 

The purpose of this study was to find out the relationship between GDP, inflation and exchange rates on imports in Indonesia in 1991 – 2020. Import is the process of legally transporting goods or commodities from one country to another, generally in the process of trade. If in a country imports increase then the country's national income will decrease. Countries that often import are developing countries, for example Indonesia. Therefore, the method that can be used is the VAR method. and the data used is quantitative data, because the data used to calculate the effect on import variables. The source of financial data is used as secondary data, which is data obtained from official sites or websites. The results of this study are that the inflation variable has a greater relationship than GDP and exchange rates.

This research aims to analyze the influence of exchange rate, exports, and  imports on Indonesia's foreign exchange reserves in the period of 1992-2021. The dependent variable is foreign exchange reserves, whereas the independent variables consist of exchange rate, exports, and imports. The research uses secondary data in time series obtained from Indonesia’s World Bank Data. Data are analyzed with VAR (Vector Auto Regression), those analyzed use E-Views 10 apss by including analysis method, which includes stationary tests, stability tests, optimum lag tests, cointegration tests, VAR estimation tests, Engle Granger causality tests, Impulse Response Function (IRF) tests, and Variance Decomposition (VD) tests. The results of the study show that exchange rate variables have a large influence on foreign exchange reserves, while export and import variables have a small effect on foreign exchange reserves.