Perkembangan teknologi digital, khususnya dalam bidang Internet of Things (IoT) dan Artificial Intelligence (AI), telah mengubah cara perusahaan manufaktur mengelola rantai pasokan (supply chain) mereka. Sistem pengelolaan rantai pasokan yang efisien sangat penting untuk memastikan kelancaran operasi dan mengurangi biaya dalam industri yang sangat kompetitif. Penelitian ini bertujuan untuk menganalisis pengaruh integrasi IoT dan AI terhadap pengelolaan rantai pasokan dalam industri manufaktur, dengan fokus pada peningkatan efisiensi, pengelolaan inventaris, dan pengurangan biaya operasional.
Metode yang digunakan dalam penelitian ini adalah pendekatan analisis deskriptif dengan studi kasus pada beberapa perusahaan manufaktur yang telah mengimplementasikan teknologi IoT dan AI dalam sistem pengelolaan rantai pasokan mereka. Data dikumpulkan melalui wawancara mendalam, survei, serta observasi terhadap penerapan kedua teknologi tersebut dalam berbagai aspek rantai pasokan, seperti pemantauan real-time inventaris, prediksi permintaan, serta manajemen pengiriman.
Hasil penelitian menunjukkan bahwa integrasi IoT dan AI mampu memberikan dampak positif yang signifikan terhadap peningkatan visibilitas rantai pasokan, memungkinkan pengelolaan inventaris yang lebih akurat dan responsif terhadap perubahan permintaan pasar. Selain itu, teknologi ini juga berkontribusi dalam pengurangan biaya operasional, pengoptimalkan proses produksi, dan meningkatkan kepuasan pelanggan melalui pengiriman yang lebih cepat dan tepat waktu. Namun, penelitian ini juga menemukan beberapa tantangan, seperti kesiapan infrastruktur yang diperlukan, biaya implementasi yang tinggi, serta kebutuhan akan keterampilan sumber daya manusia yang lebih terampil dalam mengelola dan menganalisis data yang dihasilkan.
Kesimpulannya, penerapan IoT dan AI dalam pengelolaan rantai pasokan dapat meningkatkan efisiensi dan daya saing industri manufaktur. Penelitian ini diharapkan memberikan wawasan dan rekomendasi praktis bagi perusahaan dalam mengintegrasikan kedua teknologi tersebut untuk mencapai pengelolaan rantai pasokan yang lebih baik dan lebih adaptif terhadap dinamika pasar.

Digital transformation is a strategic solution to address manual recording problems still prevalent among Micro, Small, and Medium Enterprises (MSMEs). This community service activity was conducted at Toko Anugerah, an MSME located in Mangkang Wetan, Semarang City, which previously relied on handwritten transaction records. Through a participatory approach, the service team provided training and assistance in implementing a digital recording system using Google Spreadsheet. The results showed significant improvements in recording efficiency, data accuracy, and ease of information access. In addition, the store owner and staff also demonstrated increased digital literacy. This success confirms that simple and appropriate technology, supported by intensive mentoring, can effectively encourage MSMEs to undertake digital transformation.

The increasingly rapid development of technology has spread to every aspect of life, making people have to be technologically literate. At MTS Sunan Kalijaga Bawang, students carry out activities to gain knowledge and other activities. The students' parents provide them with food, drinks or money to shop in the school canteen. However, problems arise when eating and drinking are done outside the canteen zone. Observation results show that some students who eat and drink during breaks still throw away rubbish not in the places provided. The reason is that they are afraid that their hands will get dirty when opening the lid of the trash can, so they are reluctant to throw the trash where it is intended, resulting in the trash being scattered around.
To overcome this problem, this research focuses on designing smart trash cans that can attract the interest of the public and MTS Sunan Kalijaga Bawang students to throw trash in the right place. This project uses the Arduino Uno platform to simplify and increase environmental awareness. Thus, the aim of this research is to create a more efficient and environmentally friendly waste processing system in schools.

As digital transformation accelerates across industries, cybersecurity faces escalating challenges due to increasingly sophisticated cyber threats. This study explores the integration of artificial intelligence (AI) algorithms and big data analytics to enhance cybersecurity systems, focusing on addressing data integration and interpretability issues. Employing a descriptive-qualitative methodology, the research analyzes literature, case studies, and secondary data to evaluate the effectiveness of AI and big data in detecting and mitigating cyber threats. Key findings reveal that deep learning algorithms, such as artificial neural networks, achieved an accuracy of 93% in anomaly detection, outperforming traditional rule-based approaches by 18%. Additionally, big data platforms like Spark demonstrated superior efficiency, processing 500 GB of data in 35 seconds compared to Hadoop’s 60 seconds. However, the study identifies challenges related to the interpretability of AI models and the complexity of integrating diverse datasets, which impede real-time threat detection. Periodic updates to AI training datasets were found to improve detection accuracy by up to 15%, emphasizing the importance of adaptive learning models. This research contributes to the field by proposing strategies to enhance system resilience, including adopting Explainable AI (XAI) for transparency and advanced data integration techniques. The findings underscore the potential of AI and big data to revolutionize cybersecurity, offering organizations a proactive approach to combating evolving cyber threats. Future studies should focus on sector-specific implementations and optimizing response mechanisms for comprehensive security frameworks.

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.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

MSMEs are productive economic businesses run by individuals or small business entities to grow and develop their businesses in order to build the economy, so that MSMEs become the most important pillars in the Indonesian economy. The large number of competitors in the business world requires entrepreneurs to find strategies that can increase the sales cycle and fulfill the number of requests. Solusi Cash & Kredit is a company engaged in cash and credit sales of smartphones, furniture, and electronics. According to the owner of Solusi Cash & Kredit, Vivo smartphones are one of the best-selling brands on the market. The phenomenon that occurred in the company during August 2023 to June 2024 was the occurrence of fluctuations or instability in product sales levels. The purpose of this study was to determine the results of the comparison of sales forecasting with the Exponential Smoothingi and Least Square methods. The results obtained were that the exponential smoothing alpha 0.3 method had a MAPE value of 18.27% with a forecast value for the next period of 34 units per month. Alpha 0.5 had a MAPE value of 14.74% with a forecast value for the next period of 36 units per month. Alpha 0.7 had a MAPE value of 12.64% with a forecast value for the next period of 36 units per month. Alpha 0.9 had a MAPE value of 11.7% with a forecast value for the next period of 37 units per month. The least square method had a MAPE value of 7.2% with a forecast value for the next period of 41 units per month.

This research aims to analyze the significance of the influence of taste, price and promotion on purchasing decisions at Burjo Bro, Surakarta city. The types of data used are quantitative data and qualitative data. The data source in this research is primary data using a questionnaire distributed to respondents. The population in this research are all Burjo Bro consumers in Surakarta. The sampling method is purposive sampling or sampling with certain characteristics with a sample size of 100 people. The data analysis methods used are descriptive analysis, multiple linear regression analysis, t test, F test, and coefficient of determination test (R2). The results of this research using multiple linear regression analysis show that taste, price and promotion have a significant influence on purchasing decisions at Burjo Bro. The results of the F test calculation have an F count of 77.921 with a p-value of 0.000 < 0.05, so Ho is rejected and Ha is accepted, meaning the model is correct. The coefficient of determination (R2) for this model is 0.700, meaning that the contribution of the independent influence (taste), X2 (price) and X3 (promotion) to Y (purchasing decision) is 42.2%.

Gojek is a company operating in the transportation sector, Gojek's head office is in Jakarta, Indonesia. Gojek was founded by Nadiem Makarim, an Indonesian citizen who graduated with a Master of Business Administration from Harvard Business School. The scope of this research was carried out on consumers who use Gojek services in the Surakarta area. The aim of this research is to analyze the significance of the influence of price, service and promotion on consumer purchasing decisions for Gojek customers in Surakarta. This research is a survey. This type of data uses quantitative data. The data source uses primary data. The population in this research are all consumers who use Gojek services in Surakarta. The number of samples used in this research was 110 people. The sampling technique uses purposive sampling. The data collection technique uses a questionnaire. Data analysis uses descriptive analysis, multiple linear regression test, t test, F test and coefficient of determination test. The research results show that price has no significant effect on consumer purchasing decisions for Gojek customers in Surakarta, service has a significant effect on purchasing decisions in Surakarta and promotions have a significant effect on purchasing decisions for Gojek customers in Surakarta.
 
 

Strategi promosi digunakan dalam pemasaran untuk menentukan cara terbaik dalam menghadirkan produk atau jasa ke pasar tertentu, namun terkadang di perusahaan strategi tersebut seringkali kurang maksimal, seperti yang masih dilakukan oleh perusahaan percetakan dan periklanan Permata Jaya Printing yang hanya menggunakan media cetak dalam pemasarannya. berupa spanduk, poster, promosi dari mulut ke mulut dan media sosial sehingga strategi promosi ini dinilai kurang efektif dalam menjangkau khalayak yang lebih luas.Untuk mendukung media promosi yang digunakan Permata Jaya Printing, penulis mencoba menawarkan alternatif lain yaitu penggunaan media promosi berupa video iklan digital berbasis motion grafis sebagai solusi dari permasalahan tersebut yang kemudian disebarkan melalui media sosial. . Media seperti Instagram dan WhatsApp.Penulis memilih menggunakan metode Research and Development (RnD) dalam melaksanakan penelitian yang bertujuan pada proses pencarian pengetahuan, ide, produk dan teknologi baru secara sistematis, serta mengembangkan dan menerapkannya untuk mendorong inovasi dan pertumbuhan.Hasil uji efikasi pengguna sebesar 83,5%. yang tergolong sangat efektif. Sehingga produk video iklan ini dapat dinyatakan layak