Solar energy is a potential energy source in Indonesia.A photovoltaic is needed to harvest this kind of energy, and to be able to gather the most, the PV must have a good efficiency. The maximum efficiency is achieved when PV works at its maximum power point which depends on irradiation and temperature. Since the irradiation and temperature always change with time, a PV system which able to track the maximum power point needs to be developed to produce more energy. This research was aimed to explore the performance of a maximum power point tracking system which implements Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of Buck Boost converter and to ensure the MPPT work at its maximum efficiency. The system performance of IC algorithm was compared to widely used algorithm -Perturb and Observe (P&O) on a Simulink environment. From the simulation, the IC method shows a better performance and also has a lower oscillation.

Deep Flow Technique (DFT) merupakan salah satu sistem hidroponik dimana akar tanaman diletakkan dalam lapisan air dengan ketinggian 3 – 4 cm. Air tersebut tersirkulasi karena adanya dorongan dari pompa dan mengandung nutrisi sesuai kebutuhan tanaman. Beberapa model hidroponik DFT yang sudah dikembangkan diantaranya adalah model meja, model piramida, dan model anak tangga, dan ketiga model tersebut digunakan dalam penelitian ini. Tujuan dari penelitian ini adalah untuk mengetahui ada tidaknya perbedaan terhadap rata-rata tinggi tanaman, jumlah daun, dan berat tanaman pakcoy pada ketiga model hidroponik DFT tersebut. Analisis yang digunakan adalah Anava (Analisis Varians) one way karena hanya ada satu variabel independen pada taraf signifikansi 5%. Berdasarkan hasil penelitian menunjukkan bahwa terdapat perbedaan rata-rata tinggi tanaman, jumlah daun, dan berat tanaman pakcoy dengan menggunakan hidroponik DFT model meja, model piramida, dan model anak tangga. Hidroponik DFT model piramida merupakan model yang menghasilkan tinggi tanaman paling baik, jumlah daun paling banyak, dan berat tanaman paling besar apabila dibandingkan dengan hidroponik DFT model meja dan model anak tangga, dengan hasil rata-rata tinggi tanaman 18.4 cm, rata-rata jumlah daun 10.8 helai, dan rata-rata berat tanaman 111.8 g.

Shooting technique is an important skill in woodball. Furthermore, acquiring the ideal and effective shooting technique is very critical in woodball. This research aims to inquire the woodball shooting technique by biomechanical method. This is a quantitative study with descriptive data analysis, There were several coaching points which will be analyzed such as the athlete posture, the mallet movement, the ball impact, ball direction and the distance. The data were recorded by two 50 fps cameras which were located in the frontal and sagittal plane. Furthermore, the data analyzed by Kinovea 0.8.15 Software There were two woodball athletes which were involved in this study. The results, the ideal shooting technique will be drawn based on the data resulting from athlete posture, the mallet movement, the ball impact, and ball direction. The Conclusion, the shooting accuracy is influenced by the elbow and grip position. These two variables influence the ball impact if there is any difference in the preparation and impact position. Swing needs to be trained so the impact position will not change.

The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving. Bringing such a vehicle to market requires not only simulation and testing but formal verification to account for all possible traffic scenarios. A new verification approach, which combines the use of two well-known model checkers: model checker for multi-agent systems (MCMAS) and probabilistic model checker (PRISM), is presented for this purpose. The overall structure of our autonomous vehicle (AV) system consists of: (1) A perception system of sensors that feeds data into (2) a rational agent (RA) based on a belief–desire–intention (BDI) architecture, which uses a model of the environment and is connected to the RA for verification of decision-making, and (3) a feedback control systems for following a self-planned path. MCMAS is used to check the consistency and stability of the BDI agent logic during design-time. PRISM is used to provide the RA with the probability of success while it decides to take action during run-time operation. This allows the RA to select movements of the highest probability of success from several generated alternatives. This framework has been tested on a new AV software platform built using the robot operating system (ROS) and virtual reality (VR) Gazebo Simulator. It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment. A practical implementation of the AV system was also carried out on the experimental testbed.

Renewable energy is a real source of energy that is easy and cheap to use, especially water, therefore it is often used for electrical energy generation systems by utilizing river or waterfall flows. One form of utilization is the Picohydro Power Plant (the smallestscale power plant). Where there is energy potential in an area but has not been utilized optimally, by utilizing the flow of waterfalls in Watu Lumpang Pacet Waterfall Tourism Mojokerto Regency using turbines as a drive and generator as a generator. However, because it is generated in the form of Direct Current (DC) electricity, it takes an inverter as a converter that can convert DC voltage to Alternating Current (AC). So it can be used to supply loads that mostly require AC electricity to operate.

A teleoperated robotic system offers a rapid deployment for performing tasks in dangerous environments. An effective teleoperation requires a proper feedback system such as a vision system using cameras. Despite its effectiveness of using camera, the limited field of view (FoV) become one of the main burdens of the operation. To deal with this problem, some researchers used wider-view camera or multiple cameras. In contrast, this research proposed to achieve a better teleoperation by eliminating FoV limit by using 360 camera. This research also aimed to improve the immersive experience by utilizing virtual reality (VR) headset. The proposed framework then developed to accommodate all the requirements and then evaluated by some numerous trials by some participants. An AprilTag marker was placed on the robot and tracked by a ceiling mounted camera to record the trajectory data. The obtained trajectories then measured its performance by using a standard performance metrics. The experiments demonstrated that the proposed method achieved lower collision area, closer to desired ideal path and smoother than using a standard camera as the feedback system. However, as the 360-video streaming induced higher latency, the proposed approach was slower. The measurements justified that the proposed approach achieved a better teleoperation especially for mission critical tasks.

Aquaponik merupakan salah satu cara budidaya tanaman dengan hidroponik bersamaan dengan budidaya ikan, dimana air berputar terus tanpa berhenti. Pada sistem aquaponik tidak memerlukan nutrisi AB mix untuk memberikan unsur hara pada tanaman, tetapi unsur hara diperoleh dari air kolam ikan yang mengandung nutrisi, yang berasal dari ikan. Selada (Lactuca sativa L.) yang ditanam secara hidroponik merupakan sayuran yang digemari karena harganya tinggi dan sehat untuk dikonsumsi. Tujuan dari penelitian ini adalah untuk mengetahui adanya tidaknya perbedaan hasil budidaya tanaman selada secara aquaponik menggunakan tiga model hidroponik DFT. Metode yang digunakan adalah pengukuran lapangan, yang meliputi tinggi tanaman, jumlah daun, dan berat tanaman selada, serta analisis data hasil pengukuran. Selain itu juga dilakukan pengukuran suhu, pH dan konsentrasi air kolam, serta kandungan amonia pada air kolam. Hasil pengukuran lapangan dengan hidroponik DFT model meja, model piramida, dan model anak tangga dianalisis untuk mengetahui apakah terdapat perbedaan menggunakan Anava (Analisis Varians) satu jalan pada taraf signifikansi 5%. Berdasarkan Anava diketahui bahwa terdapat perbedaan hasil pengukuran tanaman selada dengan menggunakan ketiga model hidroponik DFT, dan yang berpengaruh paling baik adalah model piramida, dengan hasil rata-rata 21,8 cm untuk tinggi tanaman, rata-rata 8,4 helai untuk jumlah daun, dan rata-rata 75,3 g untuk berat tanaman.

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