ANALISIS MANFAAT ALAT PENGHEMAT LISTRIK RUMAH TANGGA

PLN's increasingly large electricity bill causes most PLN customers to be dissatisfied. Some customers areinterested in using electricity-saving devices that are widely marketed in online stores. The electricity saver is marketedwith a promotion that can save electricity power consumption and monthly account bills of 10% to 40%. This researchwas conducted using electricity-saving devices in households with installed power of 450 VA and 900 VA for 6 monthsand made an inductive load simulation circuit paralleled with an electric saver. The results of the analysis of the accountdata show that the electricity saver cannot reduce the electricity account rate. In the simulation circuit shows that theelectric saver cannot reduce the active power consumption of the load but can reduce the reactive power of the load whileimproving the installed power capacity and power factor. Because household electricity account rates are calculatedbased on active power consumption, the electricity saver cannot reduce electricity bill payments

PENGOLAHAN AIR MINUM ALKALI BERBASIS RUMAH TANGGA

PENGOLAHAN AIR MINUM ALKALI BERBASIS RUMAH TANGG

REKONTRUKSI BLADE TURBIN ANGIN DI DAERAH PEDESAAN JENEPONTO

The profile of the wind turbine blade used by salt farmers in Paccelang Village, Jeneponto Regency, South Sulewesi Province is rectangular shape, certain size, and made of wood. Although wood is easy to shape and can be found in the village, the blade size is too large which causes the blade to bend and break easily. In addition, the rectangular blade profile produces static characteristics that are not optimal. This article aims to review and recommend blade profile shapes with certain sizes according to the needs of salt farmers. The method used is numerical. The blade profiles in Paccelang Village, NACA 0010, and NACA 0020 blade profiles were formed to the appropriate size and assessed for their characteristics numerically. The results of the review recommend an applicable NACA 0010 blade profile

Analysis of Supermarket Product Purchase Transactions With the Association Data Mining Method

The development of business world is entering the era of big data. In meeting supermarkets' sales and purchase targets, the management needs to improve themselves in managing the goods available in the store. The research aims to determine the pattern of purchases that occur in a transaction, find out related and related products in supermarkets, and improve supermarket services to customers. The method applied uses the association rules approach to data mining. Several purchasing data from customers have been able to be analyzed by displaying a diagram as a visualization of the number of specified association rules. The processing results show a relationship above 90%: sugar and coffee with a confidence of 94.4%, shirts and trousers with a confidence of 93.4%, and sugar, milk, and coffee with a confidence of 92.0%. Decisions that can be taken by supermarket management in providing places and goods need to consider and follow product relationships and proximity based on the highest confidence value to provide services to customers effectively and efficiently