Integrating Big Data and Edge Computing is revolutionizing the efficiency of artificial intelligence (AI) systems, particularly in applications requiring real-time responses. This study explores the synergistic role of these technologies in two critical sectors: autonomous vehicles and healthcare. Using a case study approach, real-world datasets and simulation platforms were employed to evaluate improvements in latency, prediction accuracy, and system efficiency. Key findings reveal that Edge Computing reduces latency by 30%, with response times dropping from 150 ms to 105 ms in autonomous vehicles and from 200 ms to 140 ms in healthcare applications. Additionally, leveraging Big Data for AI training enhanced prediction accuracy by 15% for traffic pattern recognition and 12% for patient condition monitoring. Despite these advancements, challenges such as scalability, data security, and interoperability persist, necessitating robust infrastructure and end-to-end encryption solutions. This research highlights the transformative potential of combining Big Data and Edge Computing to optimize AI systems for real-time applications, offering insights into improving operational efficiency and predictive accuracy. The findings are expected to guide future developments in AI technologies, particularly in the context of expanding 5G networks and growing demand for real-time data processing.
 

Penelitian ini bertujuan untuk mengimplementasikan algoritma C4.5 dalam memprediksi kredit macet pada sistem pinjaman digital di industri FinTech. Algoritma C4.5 dipilih karena kemampuannya untuk menangani atribut numerik dan kategoris, serta menghasilkan pohon keputusan yang dapat diinterpretasikan dengan mudah. Penelitian ini menggunakan dataset yang berisi informasi transaksi dan profil nasabah, seperti status pekerjaan, pendapatan, dan riwayat pembayaran. Hasil pengujian menunjukkan bahwa algoritma C4.5 mampu mencapai akurasi sebesar 89,6% dalam memprediksi kemungkinan kredit macet, sehingga dapat membantu perusahaan FinTech dalam mengelola risiko kredit secara lebih efektif.

Penelitian ini mengeksplorasi penggunaan Realitas Augmented (AR) dalam pembuatan prototipe desain produk, dengan fokus pada aplikasi mobile untuk e-commerce. Tujuan penelitian ini adalah untuk mengevaluasi bagaimana AR dapat meningkatkan proses prototyping dalam desain produk, meningkatkan efisiensi, dan memfasilitasi interaksi lebih baik antara desainer dan pengguna akhir. Metode penelitian melibatkan pengembangan prototipe aplikasi mobile dengan AR dan pengujian dengan pengguna akhir. Hasil menunjukkan bahwa AR mempercepat proses desain, meningkatkan akurasi visualisasi, dan memperbaiki komunikasi desain. Penelitian ini memberikan wawasan tentang manfaat dan tantangan penggunaan AR dalam desain produk.

This study aims to examine the influence of digital transformation and market orientation on the marketing performance of MSMEs, with competitive advantage as an intermediary, in MSMEs in Semarang Regency. 
The sample of this study consists of 70 MSMEs selected through purposive sampling, based on the following criteria: MSMEs that use digital marketing, have been operating for at least 2 years, and are willing to complete the questionnaire. Data were collected through questionnaires and analyzed using SmartPLS software. 
The results of the study indicate that digital transformation and market orientation significantly enhance the competitive advantage of MSMEs. Additionally, digital transformation, market orientation, and competitive advantage have a positive and significant impact on the marketing performance of MSMEs. Competitive advantage is proven to mediate the influence of digital transformation and market orientation on the marketing performance of MSMEs.

Problems that still occur in the current condition of PT MASSINDO, which is located at Jalan Gatot Subroto no 23, Block 9, Semarang City, in the process of selling springbeds, still often experience fluctuations in sales of several types and types of springbeds which are influenced by the number of goods to be sold which do not match the number of sales, thus causing a lot of losses. Therefore, it is necessary to carry out an analysis process on sales that will occur in the coming period to increase the company's sales turnover and make cash turnover more stable. The method that will be used as a consideration for companies to stabilize sales of goods is the Trend Moment method.

The development of increasingly sophisticated pharmaceutical industry technology requires researchers to develop technology in the pharmaceutical industry that can help employees carry out their duties. As we know, technology is very helpful in providing job data in industry. Information technology can improve the quality of work in industry. One of them is about monitoring temperature and humidity in the non-sterile drug production room. This temperature and humidity is monitored by the QA ( Quality Assurance )/Quality Assurance department, which is used to see whether the temperature and humidity of the non-sterile drug production room are well conditioned.Based on the existing problems, it is necessary to have an intelligent system that can monitor temperature and humidity precisely and periodically. One of them is creating an Internet of Things (IoT) Implementation tool for Simulating Temperature and Humidity in a Non-Sterile Medicine Production Room Using an Arduino and Web Based Temperature Sensor ( LM35 ) and Humidity Sensor ( DHT 22 ). This tool will periodically detect the temperature and humidity in each non-sterile drug production room. If the temperature exceeds the maximum limit in the non-sterile drug production room, the fan will turn on to release the hot air inside. All the data that has been collected will be processed by the Arduino Uno R3 Microcontroller and will be displayed on the website as an interface . For early detection, a DC Fan appears on the website that rotates if the temperature exceeds the maximum limit. Data transmission uses ESP8266 as a wireless module .

Sport science adalah disiplin ilmu yang mempelajari penerapan dari prinsip-prinsip sains dan teknik-teknik untuk menigkatkan prestasi olahraga. Sport science dalam kesehatan sepakbola sangat penting karena memungkinkan tim sepakbola untuk meningkatkan kinerja pemain, mencegah cedera, dan mempercepat pemulihan pasca-cedera. VO2 max dalam sepakbola adalah kemampuan maksimal seorang pemain untuk menggunakan oksigen selama aktivitas fisik. VO2 max yang tinggi pada pemain sepakbola membantu meningkatkan daya tahan aerobik, memungkinkan mereka bertahan dalam situasi pertandingan yang sulit, seperti saat berlari jarak jauh atau berlari cepat dalam waktu lama, serta membantu meningkatkan pemulihan setelah aktivitas fisik yang intens.
 
Permasalahan yang di hadapi mitra pada saat kompetisi adalah kurangnya kebugaran fisik sehingga menurunkan kualitas permainan. Kondisi fisik yang prima sangat penting dalam olahraga sepakbola, mengingat olahraga ini merupakan salah satu cabang olahraga yang dinamis. Para pemain sepakbola diharuskan untuk berlari dalam jangka waktu yang lama selama pertandingan berlangsung, baik untuk mengejar bola, menggiring bola, maupun untuk mengoper bola dari lawan.. Pendataan VO2 max setiap pemain perlu dilakukan supaya terdapat terdapat standart kebugaran pemain. Pelatihan pendataan VO2 Max dengan mitra perlu dilakukan untuk mencapai hal tersebut. Penggunaan aplikasi kalkulator VO2 Max berbasis web dan diakses lewat web mobile android sangat membantu dalam pendataan.
 
Dengan menggunakan alat gelang berbentuk jam tangan maka dapat diketahui jumlah detak jantung dan lama waktu berlari dapat tercatat otomatis. Hal-hal tersebut kemudian dapat digunakan untuk dasar perhitungan nilai dari VO2 Max yang menyatakan volume O2 max dinyatakan dalam liter per menit atau mililiter/menit/kg berat badan. Sedangkan luaran yang yang diharapkan mitra terbantu dalam pendataan VO2 max pemain sepakbola untuk mengetahui tingkat kebugaran, buku panduan penggunaan aplikasi serta video tutorial. Pelaksanaan pengabdian ini juga akan di publikasikan Jurnal Nasional Ber ISSN.

This research was conducted using qualitative methods and exploratory literature review, where after a number of journal references were collected, a theoretical study, research results and discussion of this literature review article were carried out in the Industrial Internet of Things (IIoT) concentration. This research presents the results of a study of business opportunities from the use of the Industrial Internet of Things (IIoT). IoT can be implemented in various fields of the modern economy, for example: health, environment, defence, quality control, transportation, logistics, clean water, building / construction, industrial production / manufacturing, energy sources, agriculture and plantations. By utilizing IIoT, companies can benefit from technology investments made from saving operational costs and increasing company revenue. The suggestions for this research include the need to develop the implementation of IIoT in various fields so that it is more effective, efficient and provides convenience to companies. Future research needs to analyze opportunities, challenges and directions for future research work related to IIoT regarding the benefits of using IIoT technology including real-time, coexistence, interoperability, optimal security and privacy.

The number of employees who are not enthusiastic in discipline at work has a bad impact on the production division, which is currently still busy with orders for wood processing. This is because the company still applies casual daily wages for contract workers. In addition, there are still many employees who are often absent every day for various reasons. To support the decision of the HRD head, a decision support system is needed to select outstanding employees in the company. In this decision support system will use the promethee method with attributes that have been adjusted to the company's problems

PT. Nerangi Sarana Karya sering mengalami beberapa masalah karena jumlah pengadaan yang dibeli banyak namun belum ada sistem yang membantu untuk merekomendasikan pembelian produk, contohnya pada tanggal 9 bulan oktober 2018 PT. Untuk mengatasi masalah yang terjadi di PT Nerangi Sarana Karya perlu diterapkan sistem pengambilan keputusan menggunakan metode Fuzzy MCDM, berdasarkan hasil pengujian data bahwa metode ini memiliki tingkat akurasi analisa data sebesar 87% sehingga metode ini cukup layak untuk digunakan dalam pengambilan keputusan.