cover
Contact Name
Yana Priyana
Contact Email
mrpyana@gmail.com
Phone
+6282105575700
Journal Mail Official
info@westscience-press.com
Editorial Address
Grand Slipi Tower, level 42 Unit G-H Jl. S Parman Kav 22-24, RT. 01 RW. 04 Kel. Palmerah Kec. Palmerah Jakarta Barat 11480
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Science Information System and Technology
Published by Westscience Press
ISSN : 30261120     EISSN : 30255120     DOI : https://doi.org/10.58812/wsist.v1i02
Core Subject : Science,
West Science Information System and Technology is a scholarly journal dedicated to the exploration and advancement of knowledge in the field of information systems and technology. The journal aims to publish high-quality research articles that contribute significantly to the understanding and development of information systems and technologies in the Western world. The journal covers a wide range of topics related to information system design, development, implementation, and management. It encompasses areas such as information systems development methodologies, database management systems, information technology infrastructure, enterprise systems, decision support systems, information systems security and privacy, human-computer interaction, and ethical and social implications of information systems.
Articles 120 Documents
The Influence of Attractions, Accessibility, and Facilities on The Image of The Peak Batu Roti Ciampea Tourism Object Achyarsyah, Padri; Nugraha, Rizki Nurul; Awaloedin, Dipa Teruna
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.846

Abstract

Puncak Batu Roti is a tourist attraction in Bogor Regency. The lack of diversity in tourist attractions causes fluctuations in the number of tourist visits. This title was chosen because Batu Roti Peak Ciampea is the specific location that wants to be researched, and this research tries to understand the factors that can influence the image of tourist attractions at that location. Batu Roti Peak is located on the Ciampea Limestone Mountain, Bogor. This peak is one of five peaks in the area, which also include Galau Peak, Lalana Peak, Arca Lima Peak, and Karang Gantung Peak. The location is about 17 km from the center of Bogor City. This research aims to see how tourist attractions (x) influence visiting interest (y) at the Puncak Batu Roti Tourist Attraction. Tourists who come to the Puncak Batu Roti Tourist Attraction are the objects of this research. Quantitative descriptive data analysis was used in this research. Data collected from the questionnaire was used for simple linear regression analysis. The research results show that the tourist attraction variable is in the good category with a percentage of 68.33% and the interest in visiting variable is also in the good category with a percentage of 2%. This result has a significant positive value, indicating that the more tourist attractions there are at the Puncak Batu Roti Tourist Attraction, the greater the interest in visiting. Researchers advise managers to develop new tourist attractions such as limestone educational tourism for elementary, middle and high school students by utilizing the property of local residents in the Puncak area. They also suggested building a Tourist Information Center (TIC) to provide information about all aspects of the Puncak Batu Roti Tourist Attraction for tourists.
Ciliwung River Resource Management And Ecotourism By The Ciliwung Community In Depok Dhia, Ahmad Naisaburi Bintang; Nugraha, Rizki Nurul; Riya, Rai
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.847

Abstract

The research entitled “CILIWUNG RIVER RESOURCE MANAGEMENT AND ECOTOURISM BY THE CILIWING COMMUNITY IN DEPOK” aims to identify resource management and eco-ecosystems in the Ciliwung River, and to find out what obstacles to resource and ecosystems management in Ciliwing Depok River. The research uses qualitative methods, with descriptive qualitational emphasis and SWOT analysis. Data collection is carried out with field observations, interviews, and literature studies. The results of the research show that the river resource management strategy implemented has the potential to be an attractive ecosystem destination. Through the environmental conservation, recreation, and education methods carried out by KCD, the river can provide significant benefits to the surrounding community and its surrounding environment. Tourist components such as attractions, accessibility, and facilities around the river are important factors in attracting tourists and supporting sustainable ecosystem development.
Cultural Tourism at the Gelora Bung Karno Main Stadium Erlangga, Aditya; Nugraha, Rizki Nurul
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.848

Abstract

Cultural tourism needs to be preserved as it can be a forum for future generations to continue to learn about local traditions and cultures amid rapid technological advances. Researchers use this title to identify the potential of cultural tourism at the Gelora Bung Karno Main Stadium (SUGBK). SUGBK was chosen as a locus because it is an important cultural landmark in Jakarta with various art and cultural activities. This research uses qualitative methods, with a qualitatively descriptive approach. Data collection is done through field surveys, interviews and literature studies. The need of this research is to explore the potential and impact of SUGBK cultural tourism on social, economic and cultural aspects. Socially, the stadium is a means of cross-cultural interaction and enriches people's insights. Economically, tourism creates business opportunities such as street sellers and souvenir sellers around the stadium. Meanwhile, from a cultural point of view, the various traditional art performances held at the stadium helped preserve the ancestral heritage.
Characteristics of Tourists Visiting Setu Babakan Awaloedin, Dipa; Achyarsyah, Padri; Nugraha, Rizki Nurul; Saleh, Muhammad Surya
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.849

Abstract

The research with the title "Characteristics of Tourists Visiting Setu Babakan" was chosen to understand more deeply the characteristics of tourists visiting a tourist destination. The success and sustainability of a destination is highly dependent on a deep understanding of geography, demography, psychography and tourist behavior. The research location is Setu Babakan, Srengseng Sawah, Jagakarsa, South Jakarta. The urgency of this research is to improve the tourist experience and optimize the utilization of Setu Babakan's resources. By analyzing tourist characteristics, Setu Babakan can plan development strategies more effectively and can increase the number of visits. The data collection method is by distributing questionnaires to 100 respondents who have been determined by the slovin formula, interviews with informants who are purposely selected, and literature from previous studies. This type of research data is quantitative and the approach used is descriptive quantitative. The results showed that most Setu Babakan tourists came from within the city, dominated by Gen Z and Millennial age groups with preferences for cultural tourism activities. Setu Babakan tourists are relatively middle economic level, intend to visit again, and are willing to recommend this destination to friends and family. Setu Babakan needs to improve facilities in accordance with tourist expectations.
Self-Regulation Successfully Increases Employee Perceiving a Calling at PT United Tractors TBK Jakarta Sarinah, Lisa; Nugraha, Rizki Nurul
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.850

Abstract

This study builds on Burnette’s SOMA model. The research was conducted to test the premise that a growth mindset of work predicts living a calling and to explore the mediating role of self-regulation in the influence of a growth mindset of work on living a calling. The process in Burnett’s SOMA model includes goal setting, goal operation, goal monitoring, and goal achievement. In this theoretical model, a growth mindset as a motivational construct predicts self-regulation. Data analysis uses the PLS method with the help of SmartPLS software. The research was conducted at PT United Tractors Tbk, located at Jl.Raya Bekasi KM 22 Jakarta, for three months. Research results: A growth mindset of work has a positive but insignificant effect on living a calling, with PValues of 0.244. A growth mindset of work positively and significantly affects self-regulation, PValues of 0.000. Self-regulation has a positive and significant effect on living a calling, with PValues of 0.002. It can mediate (full mediation) a growth mindset of work on living a calling on Employees of PT United Tractors Tbk Jakarta.
User Interface and User Experience Design for Vidyanusa on Android Mobile Phones Using an Evaluation Framework Pratama, Aditya
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.860

Abstract

This research will evaluate the User Interface and User Experience (UI/UX) of Vidyanusa for Android mobile phones. User Experience will be measured using sub-variables such as attractiveness, agility, efficiency, dependability, stimulation, and novelty. The object of this research is User Experience. The results of this research will be used to evaluate Vidyanusa's Android mobile product to achieve a product that is suitable for users at the junior high school level. User experience testing on the Vidyanusa mobile application uses evaluation methods with query techniques. Evaluation is a test of the level of system usability and functionality that is carried out in the laboratory, in the field, or in collaboration with users. What is evaluated is the design and implementation, and the technique used is the evaluation technique with the User Experience Questionnaire. The results of the user experience testing of the Vidyanusa mobile application tend to be negative on the points of attractiveness, perspicuity, efficiency, dependability, and novelty based on the User Experience Questionnaire in the benchmark table, but positive on the point of stimulation.
Implementation of Convolutional Neural Network (CNN) Method for Fish Processed Cuisine Image Identification Application with Google Maps Features Saptono, Rachmad; Rasyid, Abdul; Waluyo, Waluyo; Soelistianto, Farida Arinie
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.863

Abstract

The rapid advancement of science and technology encourages dynamic transformation in various sectors, especially in the field of information and communication technology (ICT), especially with the existence of Android-based smartphones. This advancement revolutionizes the way we access information, especially about various processed fish dishes in Indonesia. However, despite the plethora of culinary offerings, travelers often find it difficult to discover traditional dishes through social media platforms. To bridge this gap, a new app that utilizes artificial neural networks has been developed. The app allows users to photograph and upload images of processed fish dishes to recognize and provide detailed descriptions and recipes. In addition, integrating Google Maps makes it easy for users to find nearby places that serve these dishes. Testing the app with a dataset consisting of 1577 images of six types of processed fish dishes yielded promising results, with accuracy reaching 97.57% over 120 epochs. This innovation not only preserves cultural heritage but also enhances the culinary experience for locals and tourists.
Optimizing Liver Disease Detection Through Combining Genetic Evolutionary Algorithm and Linear Discriminant Analysis (LDA) Suryaningrum, Dwi Ari; Firmansyah, Muhammad Romadhoni Indra
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.1019

Abstract

Liver diseases such as cirrhosis, hepatocarcinoma and fatty liver disease are global health problems with high morbidity and mortality. Early detection is crucial but is often hampered by the limitations of conventional methods in analyzing medical images and laboratory results. Machine learning and artificial intelligence technologies, particularly Genetic Evolutionary Algorithm (GA) and Linear Discriminant Analysis (LDA), offer opportunities to improve diagnosis accuracy. This research explores the combination of GA and LDA to improve liver disease detection using the ILPD (Indian Liver Patient Dataset) dataset from the UCI Machine Learning Repository. This study aims to optimize feature selection and classification to improve detection accuracy. The research method includes the use of GA for feature selection and LDA for dimensionality reduction and classification. Tests were conducted on various parameters such as the number of generations, population size, and the combination of crossover and mutation rates in the genetic algorithm. The test results show that the best parameter combination (generation 400, population size 40, crossover rate 0.9, and mutation rate 0.1) results in an Average Forecast Error Rate (AFER) value of 0.0345%, which indicates that the developed detection model is highly accurate. This study shows that the combination of GA and LDA can improve the effectiveness of liver disease detection compared to conventional methods, with potential practical applications in clinical diagnosis systems.
Housing Value Predicted Modelling using Random Forest Regression: Case study California Housing Dataset Sigit, Firman Matiinu; Putra, Haniel Rangga Pramuditya
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.1021

Abstract

Housing price comes from many factors which are location, population, style of house, age of house, and people income. Many real estate developer companies use this data to predict price of house and give amount of investment for potential housing prices. In this study, we try to help the developer companies to predict price of house based on dataset. We try to build machine learning that can predict for housing price. There are three machine learning models that are used for this study, namely Linier Regression Modelling, Decison Three Regression Modelling, and Random Forest Regression Modelling. Each of those machine learning is trained using California Housing Dataset (1990) which is split into training set and testing set that training set contains 16512 instances and testing set contains 4128 instances. Training dataset is trained into each of machine learning model (Linier Regression, Decison Tree Regression, and Random Forrest Regression) after finished the training followed by evaluting the error prediction using K-Folds Cross Validation and showed by using Root Mean Square Error (RMSE). In this study, Random Forest Regression gives a better performance than two others (Linier Regression and Decision Tree Regression models) with error RMSE =49642.12.
Information System for Procurement of Goods and Services of the Politeknik Harapan Bersama (SIPHARBER) Bakhar, Muhamad; Evanita, Evanita; Albab, Ulil
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1173

Abstract

The application of information technology in various fields, including higher education, is rapidly evolving and has extended to critical operational activities such as the procurement of goods and services. This research aims to design and implement a Procurement Information System at Politeknik Harapan Bersama (SIPHARBER), which is expected to enhance efficiency, transparency, and accountability in the procurement process. The system is designed to facilitate coordination between the procurement unit and vendors, reduce the time required for tender processes, and minimize errors in data processing. The development method used for this system is the Waterfall model, which involves stages from requirement analysis to system testing. The outcome of this research is a web-based information system accessible by all related units, enabling real-time monitoring of the procurement process by the leadership, and simplifying vendors' processes to offer their products or services. With the implementation of SIPHARBER, the procurement process at Politeknik Harapan Bersama is expected to be conducted more effectively and efficiently.

Page 10 of 12 | Total Record : 120