The development of e-commerce and the internet requires business actors to be able to adapt, including in terms of marketing. Word of Mouth is a marketing strategy that is considered quite effective because it refers to human-to-human interaction through personal recommendations and positive experiences with something. In this era of social media, Online Customer Reviews are a form of evolution of Word of Mouth marketing. Online Customer Reviews utilize the power of Word of Mouth through digital platforms and have a significant impact in influencing consumer perceptions and purchasing decisions. This research uses several statistical tests to measure the reliability of the instruments and data. This research focuses on calculating the relationship between the Online Customer Review (X) and Purchase Decision (Y) variables at Shopee. The analysis results show a positive and significant correlation between the two, confirmed by simple linear regression and correlation tests. The findings confirm that Online Customer Reviews have a positive and significant influence on Consumer Purchasing Decisions. Therefore, sellers, especially on the Shopee marketplace, are expected to prioritize the quality of their products and services so that they can trigger good online customer reviews which then have an impact on increasing sales.
 
 

This research is focused on the Application of Just In Time in Increasing Production Effectiveness and Efficiency (A Study at PT Albasi Priangan Lestari, Banjar City). The problems encountered in this study include: 1]. How is the application of just in time in increasing the effectiveness and efficiency of production at PT Albasi Priangan Lestari?; 2]. What are the obstacles encountered in implementing just in time at PT Albasi Priangan Lestari?; 3]. What are the solutions to overcome obstacles in implementing just in time at PT Albasi Priangan Lestari?; The purpose of this study: 1]. To find out the application of just in time at PT Albasi Priangan Lestari; 2]. To find out what obstacles are faced in implementing just in time at PT Albasi Priangan Lestari; 3]. To find out how the solution to overcome obstacles in implementing just in time at PT Albasi Priangan Lestari. The method used in this research is descriptive qualitative research method. Meanwhile, to analyze the data obtained used descriptive analysis techniques. The results of the study show that the application of just in time in increasing production effectiveness and efficiency at PT Albasi Priangan Lestari is carried out by: close communication with suppliers. Then Closeness of Communication with Customers. Furthermore, Responsiveness in Information Change. Accuracy of Executing Schedule. As well as the ability to reduce costs. Barriers to implementing just in time to increase production effectiveness and efficiency come from supporting tools for mobilizing materials and goods such as forklifts, dump turcks and losbak, supply of electrical energy and shipping costs. The solution to overcome these obstacles is to equip supporting equipment such as handlifts. Meanwhile, to handle the supply of electricity, the company built two power substations.

This research aims to improve the accuracy of liver disease classification using Quantum Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and Tomek Links (SMOTE-Tomek) data balancing technique. Four machine learning models were compared in this research, namely eXtreme Gradient Boosting (XGB), Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression (LR) on the Indian Liver Patient Dataset (ILPD) dataset. QFE is applied to capture correlations and complex patterns in the data, while SMOTE-Tomek is used to address data imbalances. The results showed that QFE significantly improved LR performance in terms of recall and specificity up to 99%, which is very important in medical diagnosis. The combination of QFE and SMOTE-Tomek gives the best results for the XGB method with an accuracy of 81%, recall of 90%, and f1-score of 83%. This study concludes that the use of QFE and data balancing techniques can improve liver disease classification performance in general.

Di era pesatnya perkembangan teknologi ini banyak hal yang berkembang semakin pesat, yang dimana salah satunya yaitu perkembangan game didunia. Banyak game yang telah dibuat oleh para pengembang itu sendiri sehingga sudah banyak ragam dari jenis game itu sendiri salah satunya yaitu game bergenre endless runner. Pada game endless runner sendiri terdapat suatu objek yang harus kita buat secara masif dan berulang yang dimana biasanya menerapkan cara membuat dan menghapus objek tersebut secara masif.
Namun terdapat metode yang lebih baik dalam mengoptimalkan penerapan untuk pembuatan dan penghapusan objek secara masif tersebut dengan metode object pooling yang dimana perbedaannya adalah dalam metode ini menggunakan cara mengaktifkan dan menonaktifkan objek. Sehingga dengan cara ini akan mengoptimalkan game agar performanya tidak turun dan penggunaan memori pun tidak memakan banyak ruang.