Rancang bangun pengontrolan motor pompa dengan sensor kelembaban tanah dengan menggunakan aplikasi arduino. Smart Garden adalah sebuah konsep perkebunan atau taman menggunakan kecerdasan teknologi, informasi kondisi tanaman dan tingkat kelembaban tanah terkendali oleh sistem sebuah alat. Dalam perancangan ini penyiraman tanaman otomatis dengan mengunakan beberapa alat berupa sensor kelembaban tanah, mikrokontroler arduino uno, i2c lcd, relay dan motor pompa air. Tujuan dalam perancangan ini adalah untuk mengetahui simulasi pada aplikasi pengontrolan kelembaban tanah menggunakan arduino uno dan untuk mengontrol kelembaban tanah mengunakan kecerdasan teknologi dalam memudahkan pekerjaan, agar kelak bisa diaplikasikan pada perancangan selanjutnya dan masyarakat. Hasil pengujian alat mengunakan mikrokontroler sebagai kontrol, sensor kelembaban tanah sebagai input dan lcd dan relay sebagai output. Hasil penelitian dari pagi sampai sore tanggal 25 juni 2024 pada tanah tanaman menunjukkan Tingkat kelembaban tanah pada layar lcd, ketika kelembaban tanah 250% dikatakan tanah kering. Ketika dinyatakan tanah kering membuat secara otomatis alat menyirami tanaman.
Analisis data menunjukkan bahwa panel utama mengalami rugi daya tertinggi, sedangkan panel distribusi dan koridor lantai memiliki rugi daya yang lebih rendah. Peningkatan resistansi dan arus di panel utama perlu mendapatkan perhatian khusus melalui pemeliharaan dan optimasi sistem. Panel distribusi menunjukkan efisiensi yang lebih baik, namun tetap perlu pemantauan untuk menghindari peningkatan resistansi. Sistem penerangan di koridor cukup efisien dan dapat dijadikan model untuk area lain.
Abstract-The creditworthiness assessment carried out by the company is currently still conventional, namely still in paper form, so that Credit Analyst takes a long time to process data and analyze the large amount of incoming credit applicant data, so it does not rule out the possibility of miscalculations, errors in reading data, and others. In addition, the biggest obstacle is the difficulty in finding or storing archives that have been stored. As well as problems in making reports that are late sometimes also hamper the delivery of information to company leaders. For this reason, a technique that is capable of classification is needed. One of the algorithms included in the classification is Naïve Bayes. The system implementation uses Visual Basic.Net programming language and the method used in this research is waterfall method. The waterfall method is able to analyze the needs used to find out from weaknesses of the old system, then make a design and continue with the design of the new system. The conclusion from the results of this study explains that the process of classifying consumer eligibility with the Naïve Bayes method first goes through the training process. Prediction results are also strongly influenced by the amount of data that is trained and the probability value in this method.
The increasing development of computer technology has an impact on various fields. Including land and building taxes. Determination of property tax which was done manually has gradually developed using computers. Along with this, mapping technology is also developing rapidly. Therefore, integration between taxpayer data and mapping data is very important for each individual. A Decision Support System is a computer-based information system that takes an approach to generating various decision alternatives to help certain parties in dealing with problems using data and models. The proposed method is Analytic Hierarchy Process (AHP) which is a method that is able to create a sequence of alternative decisions and select the best alternative in a decision support system to increase effectiveness in paying building taxes. AHP allows judgment and decision making based on uncertain and insignificant data. By using the AHP method, hopefully it can help make decisions easier in increasing the effectiveness of land and building tax payments at the Seluma Regency Revenue Agency Service. The decision support system application to increase effectiveness in paying land and building taxes in the regional revenue agency of Seluma district was successfully built using the Analytic Hierarchy Process (AHP) method. Incremental research methods can be applied for application development. Application testing was carried out using the Blackcox method and the results the application is declared suitable for implementation.Keywords: SPK, Property TAX, AHP
Admission of new students is a routine activity carried out every academic year at the school. High School 09 South Bengkulu is one of the high schools in South Bengkulu Regency which accepts new students every academic year. The number of new students is based on the gender of the new students (boys and girls) and age group (14-15 years, 16-17 years, and 18-19 years). The application of the Holt-Winter Exponential Smoothing Method in predicting the number of new students at South Bengkulu High School 09 can make it easier to obtain information on predictions of the number of students in the school in the upcoming new academic year, where the prediction of the number of new students is based on gender. New students (boys and girls) and age groups (14-15 years, 16-17 years, and 18-19 years). Based on data obtained from South Bengkulu High School 09, the predicted results for the number of students were obtained. female students for the 2024/2025 academic year, namely 65 male students in the 14-15 year age group, 42 female students in the 14-15 year age group, 42 female students, 16-17 year old male students as many as 31 students, female gender in the 16-17 year age group as many as 0 students, male gender in the 18-19 year age group as many as 3 students, and female gender in the 18-19 year age group as many as 0 Students.
