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All Journal FKIP e-PROCEEDING Journal of Information System and Computer IJF (Indonesia Jurnal Farmasi)
Arina Zulfa
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Computer Science & IT Medicine & Pharmacology

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Journal : Journal of Information System and Computer

 1 
ASISTEN DIGITAL CEPAT DAN PRAKTIS CHATBOT PMB MENGGUNANKAN ALGORITMA NEURAL NETWORK Sabrina, Dinta; Arina Zulfa; Heru Saputro; Alzena Dona Sabilla
Journal of Information System and Computer Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v4i2.1216

Abstract

Demand for accurate information services, and responsiveness is increasing in the modern era, especially in the process of receiving new students. The limitations of human resources that provide information services in a direct way cause user delays and dissatisfaction. Therefore, an automatic solution that can provide efficient and effective information services, is the chatbot service (PMB) using AI to make it easier for prospective students and educational institutions to communicate. The study created a chatbot that could understand a better natural language by combining the neural convolutional network (CNN) and long short-term memory (LSTM) supported by embedding gloves. To ensure that the neural network's models can process text optimally, development processes involve important stages such as tokenization, padding, and the formation of the embedding matrix. Test results show that models have high training accuracy, but validation charts show overfitting, which is indicated by the big difference between losing training and losing validation. Embedding gloves, however, successfully enhance word representation and help people better understand the context of the text included. The CNN-LSTM PMB chatbot aims to provide a faster, more, relevant, and accurate service to prospective students
EFISIENSI PENGELOLAAN PERSEDIAAN STOK MENGGUNAKAN METODE SAFETY STOCK DI KAKI NAGA JEPARA Putri, Natasya; Leni Amrita; Arina Zulfa; Danang Mahendra; Joko Minardi
Journal of Information System and Computer Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v4i2.1221

Abstract

Inventory management is crucial for any business to ensure smooth operations and customer satisfaction. This study investigates the efficiency of inventory management using the Safety Stock method at Kaki Naga Jepara. The research aims to determine how this method can help maintain optimal inventory levels, reduce stockouts, and minimize carrying costs. Using a combination of quantitative data analysis and case study methodology, the results indicate that the Safety Stock method significantly improves inventory management efficiency by providing a buffer against demand variability and lead time fluctuations.
Co-Authors Alzena Dona Sabilla Danang Mahendra Hasriyani Heru Saputro Joko Minardi Kholida Nailil Muna Laksmi Anggun Leni Amrita M. Nur putri, natasya Rika Murhayati Sabrina, Dinta