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Adequate lighting in a classroom is characterized by the ability to see objects clearly and comfortably without creating shadows. Lighting can be sourced naturally from sunlight and artificially from lamps. Natural lighting is only available during the day, necessitating artificial lighting during overcast weather or nighttime. The Nursing Research Centre (NRC) classrooms at Universitas Muhammadiyah Semarang (Unimus) are heavily used, requiring sufficient lighting to meet standards. This study aims to measure the quality of lighting in the NRC classrooms at Unimus and determine whether it meets the established standards. The study was conducted in the NRC classrooms at Unimus, using lighting evaluation methods based on SNI 6197: 2011and SNI 6197: 2020. The evaluation results indicate that the lighting levels in the NRC classrooms do not meet the standards, with an average illumination of only 200 lux. The study recommends replacing the existing lamps with 2x24 watt LED lamps with 2x2800 lumens, and the need for small electrical power so that it os more efficient.

In this era of rapid technological development, many things are developing rapidly, one of which is the development of games in the world. Many games have been made by the developers themselves, so there are already many variations of the type of game itself, one of which is the endless runner genre game. In the endless runner game itself, there is an object that we have to create massively and repeatedly which usually applies to how to create and delete these objects massively. However, there is a better method in optimizing the implementation for massive object creation and deletion with the object pooling method, where the difference is in this method uses how to activate and deactivate objects. So in this way, it will optimize the game so that its performance does not drop and memory usage does not take up much space.

This study aims to determine the optimization of digital transactions in the School Procurement Information System (SIPLah) at PT. Intan Pariwara. The research analysis used was an analysis with a qualitative descriptive approach. While the data collection method uses interview methods and observation methods. The results of the research on each parameter, the technology, marketing, transaction, customer service, product management and finance. SIPLah PT. Intan Pariwara has advantages compared to other SIPlah partners in the system and website appearance. Even so, it still has disadvantages, namely for the payment method it only has one payment method which makes the buyer have no choice.

Optimization is an effort to maximize activities so as to realize the desired profit. The words morality and religion are often discussed among the people, wherever and whenever. Moral and religious development in early childhood can be interpreted as psychological changes experienced by early childhood related to their ability to understand and perform good behavior as well as understand and avoid bad behavior based on religious teachings that are believed. There are 3 types of games that can be used in the game method, 1) clap game, 2) singing, 3) game tools. This study aims to find out how to optimize moral and religious development in early childhood through the game method. This type of research uses library research or library research which makes library materials in the form of books, scientific magazines, documents and other materials that can be used as a reference source in this research. The results of the study show that this game method can be used by parents or early childhood educators because this method easily stimulates existing developments in children, both moral development and religious development. moral and religious development in children. Also using the learning game method will be more fun.

Carangwulung village located in Wonosalam sub-district, Jombang district has the potential of abundant natural resources from plantation products ranging from bananas, durian, salak, to coffee. The large number of products produced in the Segunung Traditional Village is an interesting addition for implementers to focus on increasing promotions and marketing activities that can be carried out independently by the Segunung Traditional Village. The facilities owned by the Segunung Traditional Village ranging from coffee plantations, coffee shops, and springs should be able to make economic potential and tourism education potential that can be offered and make Segunung Traditional Village into a village that has independence in terms of the creative economy. However, the potential possessed by this Traditional Village is still not a tourism product that is well packaged and attractive for tourists who visit in a sustainable manner. This is partly due to the fact that activities have not been documented, village products are not properly published and are not published in an interesting way. Dusun Segunung has several social media options, but partners feel that creative content ideas are very difficult to grow. Starting from how photos, videos of creative products and designs can be managed properly and produced sustainably. The method of implementing community service is in the form of consultation, socialization and assistance on digital marketing strategies, especially in the form of creative videos and social media management. The socialization and mentoring covered material and practice on videography and video editing techniques using simple technology, smartphones. Through this activity, partners are expected to be able to optimize social media in promoting the potential of their villages, events and business products in order to reach a wider market so that business development and progress can ultimately increase the income of the Segunung Traditional Village.

This research is to find out how the understanding of good governance in the DPRD of Fifty Cities Regency is in the context of Supervision of the formation of Regional Regulations. This study used a purposive sampling technique where the researcher selected 9 key informants from different fields and then this research was analyzed by quantitative descriptive. The results of the study show that good governance is basically a concept that refers to the process of achieving decisions and their implementation that can be accounted for together. The importance of understanding good governance is something that must be fulfilled by every member of the DPRD so that the optimization of the supervisory function can run effectively and efficiently. Unproductive in formulating regional regulations, it is necessary to have optimal monitoring and in-depth evaluation of the outputs of regional regulations which will be a reflection of the government in being responsible for the results of these regional regulations. For this reason, it is necessary to have the participation of all stakeholders, including the community.

Perguruan  tinggi di Indonesia saat ini sudah mencapai 2000 lebih perguruan tinggi.  Perguruan tinggi bisa tetap eksis salah satu faktornya adalah dengan adanya mahasiswa yang masuk ke perguruan tinggi tersebut. Dalam penerimaan mahasiswa baru setiap perguruan tinggi tentunya tidak sembarangan, mereka akan melakukan seleksi terhadap calon mahasiswa agar mendapatkan mahasiswa dengan kualitas yang mereka harapkan. Ada beberapa cara dalam melakukan seleksi calon mahasiswa, diantaranya ada yang berdasarkan nilai rapor, ada yang melalui tes tertulis, dan ada jalur mandiri. Tidak semua perguruan tinggi melakukan pengolahan data yang masuk secara maksimal. Biasanya mereka masih mengolah data secara manual atau dengan kata lain belum menggunakan machine learning. Masalah yang ada yaitu adanya perguruan tinggi yang belum secara maksimal dalam mengolah data penerimaan calon mahasiswa. Karena belum optimalnya data yang diolah maka ada perguruan tinggi yang belum dapat membuat prediksi dalam penerimaan calon mahasiswa untuk di tahun ajaran berikutnya. Salah satu untuk dapat membuat prediksi di masa mendatang adalah dengan menggunakan data mining.  Metode yang akan digunakan dalam data mining adalah klasifikasi Decision Tree dioptimasi dengan Particle Swarm Optimization. Hasil dari Decision Tree dengan optimasi Particle Swarm Optimization didapatkan akurasi sebesar 99,94%.