Human needs for the existence of an automatic equipment that controls every activity becomes a necessity at this time, one of which is on watering plants that are still done manually. Treatment of plants is not optimal. Sometimes plants forget to be watered, so the plants wither quickly because of lack of water. And often watering plants over and over again, ignoring that too much water content in the soil, which causes plants to rot easily. With this controller can be applied to various fields such as home, plantation, and agriculture. The application of automatic watering control can be overcome if there is excess water capacity, here is an alarm as a warning when the weather is rainy, by using a soil moisture sensor to detect water levels on the ground, light sensors to control the tool can only function in the morning and afternoon because if at night watering plants is not good for plant growth that is controlled on an arduino microcontroller, and uses a fuzzy logic method to determine the process parameters of sensor control. The results of testing the tools carried out periodically testing can work in sync based on the parameters applied using the fuzzy logic method.Keywords: Smart garden, sprinklers, fuzzy logic.

<h1><span>Water is one of the natural resources that are needed by creatures on earth. And the need for clean water is increasing, so the price of water, both bottled water and the price of water from the PDAM. Therefore, it is necessary to have a design that can control water needs, such as the water level for filling the required containers, controlling the water level in the reservoir, etc. according to human needs so that no waste of water occurs. This research was conducted to design water level detection by combining hardware and software, namely ultrasonic sensors as detection, Arduino Uno microcontroller as a process, and fuzzy logic as an analysis of data delivered by ultrasonic sensors. So, this design can be utilized in various fields both industrial and home. This water level detection is designed using ultrasonic sensors as distance monitoring, servo motor, LED warning, and buzzer. Fuzzy logic is applied to the ability of a tool designed by determining the desired set point of water. Test results that have been carried out with Fuzzy Logic with 5 levels, are level 1 (0 – 6 cm), level 2 (6.1 – 12 cm), level 3 (12.1 cm – 18 cm), level 4 (18.1 cm – 24 cm), and level 5 (24.1 – 30 cm).</span></h1>

Clustering salah satu metode yang sering digunakan di berbagai bidang yang melakukan analisis data, termasuk penggalian data, pengambilan dokumen, segmentasi gambar, dan klasifikasi pola. Adapaun tujuan dari metode tersebut adalah untuk mengelompokkan data ke dalam suatu cluster sehingga kesamaan antara anggota data dalam suatu data informasi yang telah di-cluster yang sama adalah maksimal, di sisi lain untuk kesamaan di antara anggota data yang lain berbeda cluster minimal. Ada beberapa pendekatan metode untuk mengurangi kesalahan pada saat centroid awal yang dipilih selama proses pengelompokan berlangsung. Disini data yang digunakan adalah data acak yang dibuat secara manual yatu 30 data dan 5 atribut, sehingga diperoleh hasil akurasi clustering dalam centroid dengan menggunakan metode K-Means memiliki signifikan 86.67%, sedangkan  menggunakan K-Means dengan cosine similarity tidak jauh berbeda yaitu sebesar 89.7%, maka dari itu hasilnya cukup baik.

At present, the wired vibration sensor monitoring system for rotating machinery has been successfully implemented in the modern industry. Regardless of its advantages such as real-time transmission and the fast response, the complex configuration can cause a problem such as tucked cables and higher cost as it is employed in large equipment. Therefore, in this current study, the vibration monitoring system based on Wireless Sensor Network (WSN) is developed. The new monitoring system proposed in this study involves the utilization of the Xbee module, Raspberry Pi, Arduino UNO, and Grove vibration sensor. Three parameters which are the indoor range, cost optimization, and the capability to connect to the internet are the main considerations to build the system. In order to validate the proposed vibration monitoring system based on WSN, milling experiment was conducted. From the vibration sensor being installed in the milling machine, it can be observed that the system is adequate to accomplish vibration data through wireless connection with the distance about 3 meters. By real time investigation of the vibration data, the system able to recognize any error in the milling process. Therefore, the system capable to prevent failure in the machining process specifically in the milling process.