An Optimal Design of Solar Water Pump System with Considering Cost and Effectiveness: Indonesia Perspective

Problem encountered in the design of solar water pump is about the cost of making the solar water pump by considering two variables, namely the cost and effectiveness of solar water pump when installed. The case studies raised regarding Indonesia perspective to be applied well in Indonesia. The solution offered is the design of the solar water pump system by considering aspects of cost and effectiveness carefully. The result is a plan to build a solar water pump which was suitable for use in all conditions and situations in the area of Indonesia.

Keyword: Effectiveness, solar water pump, Indonesia.

Optimal Placement and Capacity of Wind-based Distributed Generation to Minimize Losses Using Flower Pollination Algorithm Method

Abstract— The Marine energy resource has a great potential in
Indonesia. The geographic condition of Indonesia as an
archipelago so might be utilized for the development of marine
energy in the future as wind offshore. Distributed generation (DG)
placement can affect the flow of power and voltage on the bus in
the distribution system. Therefore, the placement of DG must be
considered and planned in detail in order to work optimally. The
DG placement in optimal manner may increase losses in the system
and also has an effect on the voltage profile will decrease. In
addition, the capacity of DG must be considered to have a positive
impact on the distribution network. In practice, load patterns in
the distribution network vary by time. DG placement and optimal
capacity at varying loads may not be optimal for the load demand
is always different every time. For the purpose of planning,
placement, and DG capacity is determined by considering the peak
load, average or a combination of the two loading conditions to get
maximum results. The experimental results show that the purpose
flower pollination algorithm method is indeed capable of obtaining
high quality solutions efficiently.

Keywords— wind-based DG allocation, wind offshore, active
power loss, distribution system, flower pollination algorithm, marine

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Optimal Capacity and Placement of Distributed Generation Using Metaheuristic Optimization Algorithm to Reduce Power Losses in Bantul Distribution System, Yogyakarta

Abstract—Distributed generation (DG) is a distributed generator that employs on the distribution system. The aims of DG in distribution system are to improve the voltage profile, to increase spare capacity, and to reduce the power losses. DG installation on the distribution system needs consideration of optimal capacity and optimal placement. If DG has placed in incorrect location so it can damage and interference such as voltage flicker, phase disorder to ground, fault current and fault current magnitude. So this would be differ with DG expected. Therefore it needs a right placement and allocation of power capacity (sizing) to optimize DG in which use a metaheuristic optimization algorithm to solve the problem. The metaheuristic optimization algorithm is proposed to use particle swarm optimization (PSO) algorithm for reducing power losses in distribution system and this study used feeder 7 Bantul in substation to coastal areas Samas that is the end of distribution system. The result showed that PSO succeeded to reduce losses.
Keywords—DG, PSO algorithm, power losses, distribution system.

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Baby Blood Vessel Detection Using Fuzzy Logic Optimization

Health is a basic need of every human being. Therefore it is necessary that adequate health care facilities. PKU Muhammadiyah Hospital of Yogyakarta is one of the important places for people who experience a disruption in her health. At this hospital saved all sorts of problems, for example, to infuse the nursing infant are still having trouble finding the baby’s blood vessels. This research tries to make a tool to detect the baby’s blood vessels using a fuzzy logic algorithm. Fuzzy logic algorithm will be input into the microcontroller ATMEGA16. Output of the microcontroller will be controlling the LED light. The results showed that the tool detects the baby’s blood vessels, can detect blood vessels by age infants between 1 month to 3 years.
DOI: 10.13140/RG.2.2.27888.05125
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