Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)

PENERAPAN METODE NAIVE BAYES UNTUK PREDIKSI STOK BARANG BANGUNAN DI TOKO BANGUNAN REJO MULYO

Ahmad Derry ali Munthohar — 2024-02-03

In this era of a company, inventory is an important factor because a company's inventory will continuously be acquired, changed, and resold Tb. Rejo Mulyo is a company engaged in the business of buying and selling building materials. Which materials and building goods sold consist of various types of goods at different prices. Therefore it is important to plan stock inventory so that there is no stock buildup or delay. Based on the problems above, we need a stock prediction system that is in accordance with demand. Based on these problems, the researchers designed a web-based inventory system using the Naïve Bayes method. The Naïve Bayes method itself is an effective method for predicting inventory based on existing past data. so that it can produce predictive indicators correctly. After processing the prediction accuracy data using the confusion matrix, it produces an accuracy value of 61%, precision of 66% and recall of 50%, which means that the prediction is said to be successful. With this the naïve Bayes method can help us in predicting the determination of the stock of building goods in Tb. Rejo Mulyo

Sistem Pendukung Keputusan Pemilihan Jenis Investasi Menggunakan Metode Analytical Hierarchy Process (AHP)

Muhammad Fauzi — 2024-02-03

Currently, the investment sector is experiencing rapid development in Indonesia. However, the lack of understanding of how to choose the optimal investment results in less accurate and appropriate decision making, which in turn can result in losses in making investments. The purpose of the investment type selection decision support system is to provide convenience to new investors in making decisions regarding the type of investment. Dataxcollection is done by interview, observationcand literature study. Fromxthe results of data collection, several alternatives were obtained, namely stocks, mutual funds, bonds and deposits with selection criteria including risk, return and liquidity. Data processing is done with one of the DSS (Decision Support Systems) methods, namely the AnalyticalxHierarchy Process (AHP) method, with the results of stocks being determined as the best investment option.

SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN SMA NEGERI 1 KEDUNGADEM MENGGUNAKAN METODE AHP (Analitychal Hierarchy Process)

Venny Meilia — 2024-02-03

This research was developed for a Major Decision Support System Using the AHP (Analythy Hierarchy Process) Method at SMA Negeri 1 Kedungadem. In the Indonesian Education curriculum, the selection of majors at the SMA level is an important stage that requires careful assessment of the Criteria. The AHP method is used to assist students in transmitting criteria such as Mathematics, Science, Social Sciences, English, and Indonesian in choosing the appropriate major.

Analisis Penerapan Program Customer Reward Menggunakan K-Means

Mula Barata — 2024-02-03

Penelitian ini bertujuan menganalisis konsumen untuk memberikan program reward berdasarkan kepuasan dan loyalitas mereka dalam pusat perbelanjaan [Mall]. Penelitian dilakukan dengan cara mengumpulkan data, kemudian menganalisis hasilnya menggunakan metode clustering yang relevan. Analisis regresi menunjukkan hubungan yang kuat antara variabel-variabel tersebut, dan penelitian ini memberikan bukti kuat untuk pusat perbelanjaan [mall] dan perusahaan sejenis, supaya menggunakan metode ini untuk meningkatkan kepuasan pelanggan mereka. Hasil ini dapat membantu perusahaan dalam merancang strategi reward yang lebih efektif dan sesuai dengan preferensi konsumen. Penelitian ini memberikan kontribusi pada literatur tentang manajemen customer dan strategi pemasaran dengan menyelidiki peran mereka dalam meningkatkan kepuasan dan loyalitas . Implikasi praktis dari penelitian ini dapat membantu perusahaan untuk memaksimalkan manfaat dari investasi mereka dalam program reward, dengan memastikan bahwa program tersebut tidak hanya menarik bagi customer tetapi juga efektif dalam menciptakan loyalitas jangka panjang.