Garuda - Garba Rujukan Digital

Website-Based Employee Attendance Information System (Case Study: PT. Excelindo Karya Abadi) Batubara, Shabrina Husna; Ananta, Willy Pramudia; Indra, Zulfahmi
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1106

This research aims to develop a web-based employee attendance information system at PT. Excelindo Karya Abadi, overcoming inefficiencies in the manual attendance process. Using the Waterfall method, this research includes the stages of needs analysis, system design, implementation, testing, and maintenance. Data collection is carried out through interviews and direct observation so that it becomes the basis of a system that includes the function of recording attendance via selfie photos, managing employee data, and making reports. The system architecture is designed with front-end and back-end components, using technologies such as HTML, CSS, JavaScript, PHP, and MySQL. Testing involves black box techniques to ensure functionality and user feedback for system improvement. The implemented system demonstrated significant improvements in the accuracy and efficiency of attendance tracking, reducing the potential for data manipulation and errors. The transition to a web-based system allows for greater accessibility and integration with an organization's existing systems, thereby contributing to increased operational efficiency. The findings show that digital attendance systems can simplify administrative processes substantially, offer reliable solutions for employee attendance management, and align with technological advances to support company growth.

Decision Support System for Determining Tutoring Institutions for SNBT Preparation Using the Weighted Product Method Batubara, Shabrina Husna; Maulana, Sandy Andika; Harahap, Wahyu Abadi; Niska, Debi Yandra
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1108

There are several stages in choosing a state university, one of which is through the Joint Selection for State University Admission. To prepare for this, many SNBT candidates attend Learning Guidance Institutions. Learning guidance is a service or educational program designed to help students understand the subject matter taught in school. Its main goal is to improve students' academic abilities through various methods. This research aims to develop a Decision Support System (DSS) using the Weighted Product (WP) method to help choose the most appropriate Tutoring Institution. The system is designed to help parents and prospective students make decisions that suit their needs, taking into account factors such as teaching quality, facilities, and costs. With this DSS, it is hoped that the process of selecting Tutoring Institutions can be carried out more efficiently and accurately so that prospective participants can prepare themselves better to face SNBT. Based on the completed case study, the highest preference value is obtained by Adzkia (A4) with a value of 0.231, while the lowest preference value is Ganesha Operation (A1) with a value of 0.168. The results from the DSS built, and the manual calculations, show the same values.

Use of Arabic Language Learning Media at Madani Islamic Boarding School Payakumbuh Integrated Islamic Junior High School Ikhlas, Rifki Zaitul; Anshory, Abdul Muntaqim Al; Hasaniyah, Nur
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1118

The use of learning media is important in improving the effectiveness of Arabic language learning at SMP-IT Madani Islamic Boarding School Payakumbuh. In today's digital era, the integration of technology in education is becoming increasingly relevant to create a more interactive and engaging learning environment for students. The purpose of this study is to find out the process of using technological media in improving students' understanding of Arabic, as well as to identify the challenges faced in its application. The research method used was descriptive qualitative with a case study approach. Data were collected through direct observation, in-depth interviews with teachers and students, and analysis of related documents. This approach enabled the researcher to gain an in-depth understanding of the teachers' and students' experiences and perceptions of the use of technological media in learning. The result of this study is that the use of technological media has provided various benefits in Arabic language learning at SMP IT Madani Islamic Boarding School. Teachers use blended learning approach and utilise learning videos from YouTube to teach various Arabic language skills, especially speaking ability and vocabulary memorisation. The conclusion of this study is that technological media has great potential to improve the quality of Arabic language learning at SMP-IT Madani Islamic Boarding School Payakumbuh. To optimise its benefits, it is necessary to increase access to technology for all students, continuous training for teachers, and development of learning content in accordance with the curriculum. With these steps, it is hoped that the Arabic learning process can become more effective and enjoyable for students.

Optimisation of Evacuation Route Determination in an Earthquake Natural Disaster Scenario Using an Excel Solver Izzah, Nurul; Jannah, Asri Barokatul
Journal of Computer Science Advancements Vol. 1 No. 6 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i6.1132

Earthquake natural disasters can cause significant infrastructure damage, hindering community access and mobility. In such a situation, determining the shortest path for evacuation becomes very important. This research uses linear programming by utilising Excel Solver to determine the shortest evacuation route for earthquake natural disasters. Excel Solver is a feature in Microsoft Excel that serves as an analytical tool to solve linear optimisation problems. Excel solver can be used to find solutions that maximise or minimise the objective function, with respect to predetermined constraints. This research utilises relevant earthquake natural disaster simulation data as constraints in the optimisation model. The results show that the model can generate shortest paths that fulfil various constraints and criteria. The model can also be used to predict the time required to reach the destination. This research makes an important contribution to the development of tools and methods for shortest path optimisation in natural disaster scenarios. The optimisation model developed in this research can be used to assist decision makers in improving the efficiency and effectiveness of evacuation and disaster relief operations.

Optimisation of Fertiliser Delivery Distribution from Distributor to Farmer Group Using Excel Solver in Tanjung Village Hasanah, Uswatun; Halizah, Siti Nur
Journal of Computer Science Advancements Vol. 1 No. 6 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i6.1136

Subsidised fertilisers are declared as goods that are monitored for distribution with a specific target, namely farmers. In the distribution process, the government cooperates with various components including the Ministry of Industry and Trade, the Ministry of Agriculture, the Ministry of State-Owned Enterprises and the Ministry of Home Affairs. At the same time, transportation and communication technologies continue to develop rapidly, such as mobile communications and the Internet, which drive the continuous development of the supply chain and technologies related to its regulatory management. This research aims to find out how to optimise the fertiliser transprortation Fertiliser Delivery Distribution and a series of fertiliser supply systems from Distributors to Farmer Groups Using Excel Solvers in Tanjung Village so as to provide better user control. The benefits of this research for distributors can help buffer distributor management to determine the quantity and time of delivery of subsidised fertiliser to official kiosks. The research method uses a case study which is a method of collecting and processing data through review / study of various research reports, flowsheets, research journals, as well as books and other relevant literature.

Implementation of the Shortest Path Method with Excel Solver to Optimize Goods Delivery Routes Muyammina, Ittrotul; Safira, Aulia; Hozairi, Hozairi
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.1137

The shortest path solver is a program that aims to find the route with the lowest total edge weight between two points in a graph. Commonly used algorithms include Dijkstra for graphs with non-negative edge weights, Bellman-Ford for graphs with negative edge weights, and Floyd-Warshall for finding the shortest path between all point pairs. Its application is wide, ranging from navigation systems, computer networks, to logistics and games. The process of using it involves creating a graph model , selecting the appropriate algorithm, running a solver, and analyzing the results. A practical example shows how the Dijkstra algorithm can be used to determine the shortest route between cities in a road network , with effective and accurate results . The shortest path solver proves to be a versatile and essential tool for solving a wide range of problems in a variety of fields. This research uses quantitative methods with an experimental approach to test the effectiveness and efficiency of using the shortest path method with Solver Excel in optimizing goods delivery routes. The research object is the delivery route from the warehouse to several delivery destinations, with a sample of 10 routes that are most frequently used and have the highest delivery volume. Primary data was obtained through direct observation and interviews with company logistics managers. The results of this study show that the use of shortest path method with Excel Solver is effective in optimising the route of delivery of goods, reducing the cost and time of delivery by 15% and 10%. Although there are limitations for large networks, this tool remains useful and flexible. This implementation can be a reference for other companies to improve their logistics efficiency.

Determining the Shortest Path for Souvenir Delivery to Tourist Attractions in Pamekasan Using Excel Solver Tamam, Badrud; Dyana, Motik Arisca
Journal of Computer Science Advancements Vol. 1 No. 6 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i6.1139

Pamekasan, as one of the districts in East Java, is famous for its various interesting tourist attractions. As the number of tourists increases, the need for typical Pamekasan souvenirs also increases. This encourages souvenir craftsmen to look for efficient ways to distribute their products to tourist attractions. One method that can be used is to use Solver Excel to determine the shortest path for sending souvenirs. This research aims to determine the shortest path for sending souvenirs from production sites to tourist attractions in Pamekasan using Solver Excel. The research method used is quantitative using Excel Solver. The data used is data on the distance between production sites and tourist attractions in Pamekasan. This data was obtained from the Pamekasan Regency Tourism and Culture Office. The research results show that Solver Excel can be used to determine the shortest route for sending souvenirs from production sites to tourist attractions in Pamekasan so that it can help souvenir craftsmen to save time and costs in distributing their products.

Geographic Information System for Shortest Route Search for Clinics in Pamekasan Regency Using the Djikstra Method Fairil, Ahan; Tobroni, Imam
Journal of Computer Science Advancements Vol. 1 No. 6 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v1i6.1140

Earthquake natural disasters can cause significant infrastructure damage, hindering community access and mobility. In such a situation, determining the shortest path for evacuation becomes very important. This research uses linear programming by utilising Excel Solver to determine the shortest evacuation route for earthquake natural disasters. Excel Solver is a feature in Microsoft Excel that serves as an analytical tool to solve linear optimisation problems. Excel solver can be used to find solutions that maximise or minimise the objective function, with respect to predetermined constraints. This research utilises relevant earthquake natural disaster simulation data as constraints in the optimisation model. The results show that the model can generate shortest paths that fulfil various constraints and criteria. The model can also be used to predict the time required to reach the destination. This research makes an important contribution to the development of tools and methods for shortest path optimisation in natural disaster scenarios. The optimisation model developed in this research can be used to assist decision makers in improving the efficiency and effectiveness of evacuation and disaster relief operations.

The Impact of Adaptive Learning Technology on Improving Students’ Concept Understanding Soelistianto, Farida Arinie; Andrasmoro, Dony; Yusriati, Yusriati; Mardiati, Mardiati; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1176

Adaptive learning technology is an educational method that uses artificial intelligence and computer algorithms. This learning system can manage students’ interaction pattern during learning activities. The use of adaptive learning technology is able to change students from just receiving information to an active and collaborative part in the learning process. This research was conducted with the aim of improving the quality of education in Indonesia by encouraging teachers to use this technology. This research also aims to provide a better understanding of the potential and weaknesses of adaptive learning technology in improving students’ concept understanding as well as providing stronger guidance for curriculum development and better educational practices. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the results of the study, it can be seen that the impact of using adaptive learning technology shows that adaptive learning technology can improve the quality of education. Research shows that with the use of adaptive learning technology, it can change teaching methods, learning materials, and can find out the level of learning difficulties faced by these students. From this study, researchers can conclude that the impact of using adaptive learning technology, can improve student understanding and achievement and has the potential to improve the quality of education. with the existence of adaptive learning technology, it is able to increase student involvement and motivation in learning, so that student understanding in learning can be achieved well.

Implementation of Agent Systems in Big Data Management: Integrating Artificial Intelligence for Data Mining Optimization M, Amril Huda; Simamora, Rani; Ulwi, Krim
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.1210

Background: The rapid growth of data generated across various domains necessitates advanced methodologies for effective data management and extraction of meaningful insights. Traditional data processing techniques often struggle with the volume, variety, and velocity of big data. The integration of Agent Systems and Artificial Intelligence (AI) presents a promising approach to address these challenges by enhancing the efficiency and effectiveness of data mining processes. Objective: This study aims to explore the implementation of Agent Systems in big data management, focusing on how the integration of AI can optimize data mining operations. By leveraging the capabilities of intelligent agents, we seek to improve the accuracy, speed, and scalability of data analysis. Methods: A hybrid research methodology was employed, combining a systematic literature review with an empirical case study. The literature review analyzed previous research on Agent Systems, AI, and big data management to identify key trends and challenges. The empirical case study involved deploying an AI-integrated Agent System within a large-scale data environment to evaluate its performance. Key performance indicators (KPIs) such as processing time, accuracy, and scalability were measured and analyzed. Results: The findings indicate that the integration of AI within Agent Systems significantly enhances the data mining process. The system demonstrated a reduction in processing time by 40%, an increase in data analysis accuracy by 25%, and improved scalability, handling larger datasets more efficiently compared to traditional methods. These improvements were attributed to the autonomous and adaptive nature of agent systems, which enabled dynamic data processing and real-time decision-making. Conclusion: The study concludes that the implementation of AI-integrated Agent Systems in big data management offers substantial benefits, including optimized data mining performance. This integration facilitates more efficient and effective data analysis, which is crucial for organizations dealing with large volumes of data. Future research should focus on further refining these systems and exploring their application across different sectors.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Adam Mudinillah

Contact Email
adammudinillah@staialhikmahpariangan.ac.id

Phone
+6285379388533

Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id

Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.

Location
Kab. tanah datar,

Sumatera barat

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Adam Mudinillah

Contact Email adammudinillah@staialhikmahpariangan.ac.id

Phone +6285379388533

Journal Mail Official adammudinillah@staialhikmahpariangan.ac.id

Editorial Address Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.

Location Kab. tanah datar, Sumatera barat INDONESIA

Abstract

Abstract

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Abstract

Abstract

Abstract

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Abstract

Contact Name
Adam Mudinillah

Contact Email
adammudinillah@staialhikmahpariangan.ac.id

Phone
+6285379388533

Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id

Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.

Location
Kab. tanah datar,

Sumatera barat

INDONESIA