Most of LPG explosions are caused by undetected gas leakage in the pre-detection condition. So that, LPG detection system is needed. The purpose of this system is to detect gas leakage, neutralize it, and prevent the explosion. Gas leakage could happen due to improper regulator installation or the hose is broken. This detection should not work in just one location because gas can leak at the gas regulator and its hose. Therefore, Wireless Sensor Network (WSN) is one of the methods that suitable for detecting gas leakage in the wider area. This method uses two or more gas sensors to detect leakage in two or more locations around the gas tube and its distribution line. WSN system works based on gas sensor MQ-6 and wireless module Bluetooth HC-05. Explosion prevention system works based on alarm/buzzer, exhaust fan, and automatic gas regulator. If the gas leaks, the sensor will send its data wirelessly to Arduino. Then, explosion prevention system will be activated. The system will turn the alarm/buzzer on, automatically releases gas regulator, and neutralizes the air with the exhaust fan. Both systems will be fully controlled by Arduino platform.

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The need for practical equipment in the vocational high school (VHS) program is necessary. However, due to some difficulties such as the pricey of available training kit in the market caused that most student could not get appropriate practical work equipment. One of the important facilities is a training kit that encouraged the student to learn the Internet of Things. This study describes the design of the Internet of Thing Training Kit based on ESP-32 (IoTTK32). A set of IoT training module has been designed. Through research and development approach, the researcher has constructed a low-cost IoT trainer that can be used in industrial practical work. The results of the examination show that produced IoT kit could be used in formal practical work of industrial automation related to the industrial 4.0 evolution.

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The implementation of Blended Learning model based on observations of learning activities on branching structure competencies Basic Programming subjects in class X RPL A has several constraints, such as teacher-centered learning process, lack of student activity in the implementation of learning activities, lack of openness and interaction between teachersstudents and student interactions. This has an impact on the achievement of student learning outcomes that achieve the Minimum Passing Criteria (KKM) of only 5 of 35 students. The purpose of this study is to describe the profile of learning activities, so that from the results of the description the researcher can develop a learning improvement plan to improve student learning outcomes. The method used in this study is Classroom Action Research (CAR) conducted in two cycles and each cycle consists of several stages, namely plan, action, observation and reflection. The instruments used were guidelines for observing student activities, final learning evaluation sheets, and practical assessment sheets. The results of the study after action, observation and reflection obtained the number of active students in accordance with the field observations in cycle 1 of 34.28% (on a scale of 100); in cycle 2, 100% of all students who participated in learning activities were Blended Learning methods. Student learning outcomes in each cycle obtained an average value in cycle 1 of 72.4; in cycle 2 it was 80.43. With the number of students who get a value of ≥ 75 in cycle 1 as many as 12 students, in cycle 2 as many as 35 students. From the results of interviews with observers and students, learning the Blended Learning method is able to generate motivation, be more focused, directed in learning and more effective in take advantage of study time. Teacher-student and student interaction activities are more open so that student difficulties can be overcome. This shows that the actions taken during the implementation of the Blended Learning method learning model can increase the activity of student learning activities and student learning outcomes.

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AbstrakFinite State Machine (FSM) adalah sebuah metodologi perancangan sistem kontrol yang menggambarkan tingkah laku atau prinsip kerja sistem dengan menggunakan tiga hal, yaitu: state (keadaan), event (kejadian) dan action (aksi). Pada suatu program, sistem akan berada pada salah satu state yang aktif. Sistem dapat beralih atau bertransisi menuju state lain jika mendapatkan masukan atau event tertentu. Pada makalah ini, akan diimplementasikan algoritma FSM berbasis pengendali Proporsional-Integral-Derivatif (PID) pada robot pengikut garis. Pengendali PID merupakan salah satu metode kendali sistem yang banyak digunakan saat ini. Algoritma FSM berbasis pengendali PID diterapkan dengan tujuan agar robot mampu menjajaki lintasan dengan baik. Hasil pengujian menunjukkan bahwa algoritma yang dirancang mampu bekerja dengan baik dan dapat digunakan sebagai dasar algoritma dari robot ini.