A control system in the form of an Automatic Transfer Switch (ATS) is needed when a blackout occurs from the PLN that will be transferred to the generator. The research problem was how to save costs for making ATS that can run efficiently. The purpose of this study was to find out how to save costs for making ATS that can run well and efficient. The method used was Research and Development. The Research and Development stages included: collecting data, designing, and testing. To save costs for making ATS, the researchers used the Timer Delay Relay (TDR), as using TDR reduces the cost of making tools because the component prices are relatively affordable. The way the ATS system works is when the PLN electricity is on, the battery will be charged by the battery charger, and when the PLN electricity goes out, the inverter will get a voltage supply from the battery, that was originally 12V will be changed to 220V. The TDR makes it easier to determine the appropriate time when the voltage is stable. Based on the experiment, the time when the voltage is stable is 6 seconds.

Average School Length (ALS) represents the level of performance of every person in a school region. The more years of education, the better the education obtained by the population; therefore, it becomes more essential as it can demonstrate the quality of the human resources in a given region. In addition, extensive research implies that the average length of schooling influences economic growth considerably. If the average length of education improves, then the number of unemployed and poor in an area decreases and affects economic growth positively and significantly. The study’s goal was to carry out an investigation utilizing artificial intelligence in the form of a cluster mapping on the averages of regeneration in central Java. This needs to be done to get a macro view of the level of development of the average school years through regional mapping over the last few years. The data set used can be found on the website of the Central Java Provincial Statistics Agency, which is the subject of the 2017-2019 average school year by sex. The solution approach is k-means, which is part of the data collection process. High and low clusters are the number used in this investigation. Prior to the k-means approach, pre-processing is conducted out by taking from 2017-2019 the average RLS number based on gender. The results of the computed average value were analyzed with k-means. The study found that out of 35 provinces, eight (23%) provinces were of the high cluster (cluster 1) and 27 of the low cluster (cluster 0) (77%). More than 70% of Central Java regions have remained common ALS, according to results. Keywords: K-Means, clustering, ALS

In Indonesia, the School Participation Rate (APS) is recognized as one of the indicators of the success of developing education services in regions, whether Province, Regency, or City. The higher the rate of school enrollment, the more successful an area is at providing access to educational services. The dataset was obtained from the Central Statistics Agency (BPS) of Central Java Province's website. The object studied is the percentage of APS in the Central Java region from 2017 to 2019 for ages 7 to 12, 13 to 15, and 16 to 18. The study's goal was to conduct an analysis in the form of mapping the School Participation Rate in the districts and cities of Central Java, the third most populous province after West and East Java. RapidMiner software is used in the analysis process. The research output is a map of clusters of areas in the Regency and City areas. The k-means method, which is part of clustering data mining, is the solution method offered. The number of mapping clusters in this study was divided into two categories: high (C1) and low (C2) clusters. According to the study's findings, the mapping of the 7-12 year old cluster was 24 provinces in the high cluster (cluster 0) and 11 provinces in the low cluster (cluster 1); the mapping of the 13-15 year old cluster is 23 provinces in the high cluster (cluster 0) and 12 provinces in the low cluster (cluster 1); and the mapping of the 16-18 year old cluster is 15 provinces in the low cluster (cluster 1). Cluster determination is based on the final centroid value, with the final centroid value of the 7-12 year old cluster being high (cluster 0) 99.81, 99.87, 99.75; low (cluster 1) 99.73, 99.43, 99.25; and the centroid value of the 13-15 year old cluster being high (cluster 0) 97.52, 97.12, 96.93; low (cluster 1) 93.78, 93.58 Overall, the mapping results show a high percentage for all age groups, which is greater than 50% in the high cluster. In detail, 24 provinces (57 percent) are in the low cluster for the 16-18 year age group. The research findings can provide a macro picture of the level of development of the School Enrollment Rate over the last few years

The average length of school (RLS) describes the level of achievement in school activities of each citizen in a given area. The higher the number of years of schooling, the higher the population's level of education, hence this indicator is critical since it can reveal the quality of a region's human resources. Furthermore, numerous studies have found that the average length of schooling has a major impact on economic growth. This indicates that when the average length of schooling rises, the number of unemployed and poor people in a given area declines, resulting in a positive and considerable impact on economic growth. The goal of the study was to use artificial intelligence to undertake an analysis in the form of a cluster mapping of the Average Length of Schooling in Regencies and Cities in Central Java (AI). This is necessary in order to gain a macro picture of the average years of schooling's progress over the last few years through regional mapping. The data was taken from the Central Java Statistics Agency (BPS) website, and it was based on the subject Average Length of School (RLS) by gender from 2017 to 2019. The k-means method, which is part of clustering data mining, was employed as the solution method. There were two types of clusters used in this study: high and low clusters. RapidMiner software is used to aid the analyzing process. Preprocessing is done before the k-means approach by taking the average value of the number of RLS based on gender from 2017 to 2019. K-means will be used to process the results of the average value obtained. According to the findings, eight provinces (23 percent) were in the high cluster (cluster 1) while 27 provinces (77 percent) were in the low cluster (cluster 0). According to the findings, RLS levels are still low in over 70% of Central Java's locations.

Abstrak Desa Petuguran merupakan desa yang terletak paling barat dari Kecamatan Pituruh. Desa ini dikelilingi sungai besar maupun sungai kecil. Mayoritas dari warga masyarakat membuang sampah ke sungai. Tujuan kegiatan sosialisasi pengadaan Bank Sampah yang dilakukan dosen Politeknik Dharma Patria yaitu untuk meningkatkan kebersihan lingkungan Desa Petuguran. Selain, bernilai higienis kegiatan Bank Sampah juga dapat meningkatkan ekonomi kekuarga. Metode yang digunakan dalam sosialisasi ini terbagi dalam tiga tahap yaitu persiapan, pelaksanaan, dan evaluasi. Peserta dari sosialisasi bank sampah terdiri dari beberapa unsur warga sebanyak 22 orang. Hasil pengabdian menyatakan bahwa warga antusias mengikuti bank sampah sehingga lingkungan menjadi lebih bersih dan bisa menambah sedikit ekonomi warga.  Kata kunci: sosialisasi, bank sampah