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The increasing global energy demand drives the search for efficient and sustainable renewable energy solutions. Solar panels have become one of the most widely used technologies; however, their efficiency remains limited when installed in a static position. This research aims to analyze the performance of a single-axis auto tracking system on a 10WP solar panel integrated with the Internet of Things (IoT) for real-time monitoring, specifically in powering a portable powerbank. The research method employed was a quantitative experimental design with three testing scenarios: powerbank charging using an auto-tracking solar panel, a static solar panel, and conventional household electricity as a comparison. Charging data were collected via an IoT system integrated with the Blynk application in real-time. The results indicate that the auto-tracking system increased charging efficiency by around 10%, compared to only 6% with a static panel in one hour. This performance is nearly equal to household electricity charging, which reached approximately 10–11%. The study concludes that the single-axis IoT-based auto-tracking system significantly enhances the performance of small-scale solar panels and holds strong potential for portable energy solutions in remote areas.

The aim of the research is to build a monitoring system prototype that can provide notifications in the system for collateral items that are lost or out of range within the monitoring distance of the RFID reader. so that each officer can know when the item is lost or out of reach based on the time recorded in the monitoring system. This is different from CCTV AI which can only record overall conditions and movements, but does not provide notification of loss or removal of collateral from the range of the RFID reader. Keywords: Collateral Goods, Reader RFID, Tag RFID, Cctv AI, Notification

Sistem didefinisikan sebagai suatu kumpulan objek yang saling berkaitan dan saling bergantung secara tetap untuk mencapai tujuan bersama dalam suatu lingkungan yang kompleks. Dalam sistem antrian bank terdapat juga aturan-aturan yang harus dipatuhi oleh nasabah seperti pemisahan pelayanan nasabah berdasarkan nominal uang yang akan ditransaksikan. Entitas-entitas dan aturan dalam sistemberinteraksi sehingga menghasilkan sistem antrian yang sedemikian rupa. Antrian dalam arti kedatangan pelanggan untuk mendapatkan pelayanan, menunggu untuk dilayani jika fasilitas pelayanan (server) masih sibuk, mendapatkan pelayanan dan kemudian meninggalkan sistem setelah dilayani. Dalam analisis sistem bertujuan untuk melakukan identifikasi dan membahas mengenai rancangan pembuatan sistem yang diterapkan sesuai dengan latar belakang yang telah disampaikan dalam latar belakang sebelumnya, simulasi sistem antrian haji. Dalam persoalan-persoalan yang akan muncul dalam pembuatan sistem, hal ini dilakukan agar pada proses perancangan sistem tidak terjadi kesalahan yang berarti, sehingga sistem yang dirancang dapat berjalan dengan baik, tepat guna dan ketahanan dari sistem tersebut akan lebih terjaga serta selesai tepat pada waktu yang telah ditentukan. Setelah dilakukannya simulasi demgan menerapkan metode Monte Carlo, maka diharapkan dalam proses antrian calon jamaah haji di Kantor Kementrian Agama Kota Medan dapat berjalan dengan lebih tertib dan efisien dan memudahkan berbagai pihak dalam penggunaan sistem ini.

Implementation of Distance Learning (PJJ) is effective in the teaching and learning process during the pandemic. This is supported by Unisbank students in mastering information technology. PJJ technology, also known as e-learning, is a bridge between lecturers and students in the process of meeting in class into a meeting process in cyberspace. E-learning becomes ineffective when the demand for e-learning usage is high, causing server overload or crashes. When the e-learning server is overloaded, all parts that are usually connected and interrelated, such as lecturers, students, administration and others, become disconnected. The importance of monitoring the e-learning server to keep the e-learning load under control, and the server that has a lot of load will be divided so that e-learning will run smoothly and not be overloaded. Monitoring the Elearning server with the Least Connection method is applied to the Unisbank e-learning server and makes e-learning not overloaded. The results of the load balancer workload test with 1000 connections, the resulting response time is 0.2 ms, the workload is 5000 connections, the response time is 0.2 ms and the workload is 10,000 connections, the resulting reply time is 0.2 ms.

Lot of problems arise in selecting scholarship recipients in a large number of submissions, the existence of several searches used, and the selection of files for scholarship applicants is still manual, so a system is needed that can speed up, help, and make it easier in the decision-making process to lighten work. student section. In supporting decisions this system will use the Naïve Bayes Classifier Method to determine what is acceptable and not acceptable. The NBC method can analyze and make improvements to old data, and the resulting data will provide simpler probability values that can later be used to make decisions. From the results of the research that has been carried out, it can be realized that the application of the data mining algorithm using the Naïve Bayes Classifier can be carried out to select scholarship recipients at Stikubank University Semarang. The result of the selection of Unisbank Semarang scholarship recipients is the accuracy value. 72% of the 135 data which is divided into 100 training data and 35 test data.

The purpose of this study is to produce a design to predict, analyze and determine the level of potential bankruptcy of a company using the Altman Z-Score method. Predictions are made by analyzing the financial statements of a company. The research approach used is a qualitative approach. Data analysis technique in this research is descriptive analysis technique. The results of the first phase of research are in the form of a review of bankruptcy prediction analysis using secondary data from banks in Indonesia that are already on the stock exchange and have branch offices in the city of Semarang, while the second year produces an information system design that has added value from the first year to the third year. testing the system that has been designed using actual financial statement data.

A house for every human being is the main and most important need compared to others needs in general. A financial institution is an institution engaged in the financial sector where its customers are people from various walks of life with various behaviors. Lending is a business activity that carries a high risk and affects the business continuity of a banking company. The problem that is often faced in providing home loans is determining the decision to extend credit to prospective customers, while another problem is that not all home loan payments by customers can run well or commonly known as bad credit. One of the causes of bad credit is an assessment error in making credit decisions. Data mining is a process used to analyze cases in order to find the best performance of an algorithm being tested. One way to get information or patterns from a large data set is to use techniques in data mining. There are many classification methods that can be used to produce precise accuracy values. In this study, two classification algotihm methods are used in classifying the home crediting dataset, namely the C4.5 decision tree algorithm and the Naïve Bayes algorithm. The comparison of the two algorithms produces an accuracy value fo the Naïve Bayes algorithm of 36.36% and the Decision Tree C4.5 algorithm has an accuracy rate of 59.54%.

Management of school funds in the form of SPP (Educational Development Donations) at the Kranggan foundation sourced from kindergarten, elementary and junior high schools so far is still managed manually, making it difficult and takes a long time for the Administration to check lists for students who have made payments. Every month. In this study, an SPP payment system was made using an SMS Gateway with the web scraping method. In the development process using the prototype method. The researcher aims to develop a web-based information system that is expected to help manage school payment data for the better. The information system will be equipped with an SMS feature that will be sent to the parents of the students concerned so they can know that the school payment has been made. This SMS feature is also useful for sending reports of late payments or SPP arrears to parents of students whose children are late in paying tuition fees. With this program, students can also make tuition payments in two ways. The first is manually or submitting payment to the TU at the school. The second is by means of money transfer payments through banks.