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All Journal G-Tech : Jurnal Teknologi Terapan Indonesian Community Journal
Raymond Sunardi Oetama
Universitas Multimedia Nusantara, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Public Health Social Sciences Other

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 1 
Evaluation and Solution for SAP Implementation Using Technology Acceptance Model: A Case Study in an Indonesian Food Trading Company Mayang Ayu Andila; Raymond Sunardi Oetama
G-Tech: Jurnal Teknologi Terapan Vol 7 No 4 (2023): G-Tech, Vol. 7 No. 4 Oktober 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i4.2488

Abstract

Several companies have implemented an end-to-end SAP system, but are experiencing problems. To find the root cause of this problem, this study evaluates employee user acceptance of SAP in one company in Indonesia. The variables used are taken from the Technology Acceptance Model which includes Perceived Usefulness, Perceived Ease of Use, Attitude Toward Use, and also Behavioral Intention to Use. Furthermore, it was also found that the training did not affect Cooperation and the Perceived Ease of Use of the SAP System. The training was chosen as the root cause of the constraints on SAP implementation in this company. After the root cause of the problem is found, a solution is designed in the form of a website that aims to improve SAP training at this company.
Utilization of Online Village Administration Services: Training on the use of Cihuni Village Website Features Jansen Wiratama; Rudi Sutomo; Raymond Sunardi Oetama; Samuel Ady Sanjaya; Santo Fernandi Wijaya
I-Com: Indonesian Community Journal Vol 3 No 4 (2023): I-Com: Indonesian Community Journal (Desember 2023)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v3i4.3486

Abstract

Public administration services are important for urban and rural communities. With a large population, it is difficult for administrative service processes using conventional methods to run optimally, so they need to be transformed into digital form. Current technology should support optimizing administrative services from village officers to the community. However, limitations related to the use of technology still need to be solved by village officers. Therefore, training is needed for village officers in using administrative service features via the Cihuni village website resulting from previous research. This training activity was carried out in Cihuni Village, a village supported by Multimedia Nusantara University (UMN). The training process involved the UMN Lecturer Team as community outreach members and Cihuni Village officers. This community outreach activity increases the understanding of village officials regarding using the Cihuni village website, which has various features for public administration services.
Empowering Pregnant Women with Tailored Food Recommendations through K-Nearest Neighbors in Android Application Stevanus Kurniawan; Raymond Sunardi Oetama
G-Tech: Jurnal Teknologi Terapan Vol 8 No 2 (2024): G-Tech, Vol. 8 No. 2 April 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i2.4084

Abstract

When at a restaurant, pregnant women often face difficulties in choosing healthy and appropriate foods during pregnancy, primarily due to lack of knowledge, uncertainty about food ingredients, and difficulty in remembering the list of foods to avoid. This research aims to assist restaurants and pregnant women in avoiding consuming foods containing unhealthy ingredients for pregnant women. Our solution is to develop an Android-based application that can detect foods containing ingredients that pregnant women should not consume and then offer alternative foods that are similar to those foods. The application is developed using the Rapid Application Development method, and the algorithm used is the K-nearest Neighbor. The application has been tested with a User Acceptance Test with an 84-90% acceptance rate.
Inventory Management System Using Economic Order Quantity And Reorder Point Ignatius Ivan; Raymond Sunardi Oetama
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.4780

Abstract

The inventory management system for car workshops is still using Excel, which makes it inefficient and inaccurate for complex stock calculations. The solution is to design an inventory application that uses the Economic Order Quantity and Reorder Point methods. The application will provide timely stock replenishment information and optimize order quantities, increasing inventory management efficiency and accuracy. The Software Development Life Cycle used in this study is Rapid Application Development, a process emphasizing short development cycles. User Acceptance Test results show that users received the inventory management system very well, with an average satisfaction level of 98.44% for Admins and 97% for general users, indicating high satisfaction with the system's features and functionality.
Preparing Better Data for Oil Price Prediction Using Long Short-Term Memory Raymond Sunardi Oetama
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5668

Abstract

Fluctuating oil prices require a prediction model that can capture complex patterns more accurately than traditional methods. This study aims to apply the Long Short-Term Memory (LSTM) model to predict crude oil prices by assessing the effect of the training-test data ratio and window size on model performance. Daily data from 2000 to 2023 were taken from Yahoo Finance, which was then trained and tested on five data ratios and various window sizes. The evaluation was carried out using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and R². The results show that the 90:10 ratio with a window size of 3 provides the best performance, with an MSE of 6.2100, RMSE of 2.4920, MAE of 1.8430, MAPE of 2.1363%, and R² of 0.9606. These findings confirm that LSTM can effectively capture temporal dependencies and outperform traditional statistical methods.
Web-Based Logistics Scheduling System Utilizing Cheapest Insertion Heuristic Algorithm Chevanton Ernesto Guevara; Raymond Sunardi Oetama; David Tjahjana
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.5613

Abstract

Efficiency in the logistics process is essential to maintain company credibility. Significant improvements in logistics efficiency can be achieved by integrating information systems. However, several companies have not implemented this system. These companies will face logistical challenges, especially in scheduling, which will cause delays in the delivery of goods. Against this challenge, this research aims to build a web-based information system to optimize logistics scheduling. This system aims to provide drivers with a compelling sequence of delivery points by applying the Cheapest Insertion Heuristic algorithm, which is integrated with the Google Maps API. This system will undergo a prototyping phase with a web-based approach using the Laravel framework, supported by PHP and MySQL for database management. This design will follow the Rapid Application Development method. User Acceptance Testing shows an average satisfaction score of 98%, which indicates that users feel significantly helped by the information system, especially in improving the company's delivery scheduling process.
Co-Authors Chevanton Ernesto Guevara David Tjahjana Ignatius Ivan Jansen Wiratama Mayang Ayu Andila Rudi Sutomo Samuel Ady Sanjaya Santo Fernandi Wijaya Stevanus Kurniawan