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Journal : Journal of Computer Networks, Architecture and High Performance Computing

SI-Konseling For Analyzing The Effect Of Stress Levels On Students' Academic Using K-Means Algorithm Wangi, Putri Sekar; Triase, Triase
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5113

Abstract

Along with the rapid development of information technology, the world of education is also developing towards the digitalization era. Therefore, the use of information technology is needed to support the progress of the world of education. At SMA Negeri 6 Pematangsiantar, students who receive counseling guidance are students who do not obey school regulations such as undisciplined behavior in learning activities and extracurricular activities. According to psychologists, there is a relationship between negative behavior and the level of stress experienced by children. Signs that a child is experiencing stress include anger, aggressive behavior, and disobedience. It could be concluded that one of the triggers for negative behavior in children at school can be caused by stress. This study was conducted to determine the effect of student stress on their academic grades. By applying Data Mining using K-Means Clustering Algorithm, students can be grouped based on stress levels and academic achievement. So that a potential relationship can be found between these variables. In addition, the use of a counseling information system can improve the implementation of counseling to be more effective and efficient. Based on the research results, by collecting 960 student samples that will be used as calculation samples, the value of cluster one (C1) is at the average academic value (sufficient) with a moderate stress level percentage and cluster two (C2) at the average academic value (good) with a low stress level percentage. So it can be concluded that the percentage of stress experienced can affect their academic value.
Integrating Augmented Reality and Simulation Game for Flower Board Design Pratiwi, Eka; Triase, Triase; Sinaga, Imam Adlin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3712

Abstract

Augmented Reality was regarded as one of the technologies that merged the real world with the virtual one. Its development was carried out by developers across various fields, including businesses such as floral services, exemplified by Berkah Florist. In practical application, Berkah Florist encountered challenges related to efficiency and customer satisfaction in the floral design process. The prevailing methods, such as displaying photographs or employing paper-based designs, were time-consuming and susceptible to paper damage, thus hindering customers from expressing their preferences accurately and disrupting the design process. To address these challenges, an application was developed to streamline the floral design process, aiming to make it more appealing. This research aimed to assist customers and streamline Berkah Florist's operations by facilitating the modeling and visualization of more captivating and effective designs. The application, based on a simulation game, was developed using Research and Development (R&D) and Rapid Application Development (RAD) methodologies. The application presented floral designs through an AR-enabled camera, replicating real-world conditions. The incorporation of Augmented Reality in the application garnered interest and engagement from prospective customers while alleviating boredom. Designed to provide a delightful experience for potential customers, the application aimed to enhance their interest in reusing it. Consequently, Berkah Florist could enhance customer experience and improve efficiency in the floral design process.
Implementation of Statistical Quality Control Method in Product Quality Monitoring Information System Syahputra, Iqbal Maulana; Triase, Triase; Andriana, Septiana Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3825

Abstract

The business sector faced intensifying competition due to significant advancements in information systems and technology. PT. Florindo Makmur, a leading private company in the cassava processing industry producing tapioca flour, has proven to implement quality standards to uphold product quality and ensure customer satisfaction. The product quality inspection process had to meet standards before packaging; however, reporting remained manual using paper sheets, elevating the risk of data loss and reducing monthly evaluation efficiency due to manual calculations. The aim of this research was to design an efficient information system for monitoring product quality at PT. Florindo Makmur, utilizing the Statistical Quality Control (SQC) method. The quality control monitoring system played a central role in gathering quality control data to support management decisions regarding product quality certainty. Therefore, obtaining monitoring information promptly was crucial to ensure products met quality standards and reduce rejected product quantities. The research approach included observation, interviews, and literature review as data collection strategies, while the system development method used was the waterfall method encompassing system requirement analysis, design, coding, and implementation. This information system enabled PT. Florindo Makmur to efficiently monitor its products by applying SQC concepts such as data analysis and creating control charts to swiftly identify improvements in product defects and take appropriate actions.
SI-Konseling For Analyzing The Effect Of Stress Levels On Students' Academic Using K-Means Algorithm Wangi, Putri Sekar; Triase, Triase
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5113

Abstract

Along with the rapid development of information technology, the world of education is also developing towards the digitalization era. Therefore, the use of information technology is needed to support the progress of the world of education. At SMA Negeri 6 Pematangsiantar, students who receive counseling guidance are students who do not obey school regulations such as undisciplined behavior in learning activities and extracurricular activities. According to psychologists, there is a relationship between negative behavior and the level of stress experienced by children. Signs that a child is experiencing stress include anger, aggressive behavior, and disobedience. It could be concluded that one of the triggers for negative behavior in children at school can be caused by stress. This study was conducted to determine the effect of student stress on their academic grades. By applying Data Mining using K-Means Clustering Algorithm, students can be grouped based on stress levels and academic achievement. So that a potential relationship can be found between these variables. In addition, the use of a counseling information system can improve the implementation of counseling to be more effective and efficient. Based on the research results, by collecting 960 student samples that will be used as calculation samples, the value of cluster one (C1) is at the average academic value (sufficient) with a moderate stress level percentage and cluster two (C2) at the average academic value (good) with a low stress level percentage. So it can be concluded that the percentage of stress experienced can affect their academic value.
Co-Authors Abdillah, Muhammad Dimas Agil, Mashuril ahmad, Ahmad Rizky Ananda Purba Aidil, Elqi Rahmat Alda, Muhammad Andriani, Mega Anggini, Nurasiah Aninda Muliani Annisa, Tasya Ardhana, Muhammad Reza Asruri, Selfi Ayu, Kartika Dara Badri, Mohammad Deliani, Safni Dewi, Siska Efita, Sinta Dara Eka Pratiwi Fadilah, Ulfa Fadilla, Sonya Rezky Fahriza Hasibuan, Alya putri Farhan Farhan Febiana, Indira Fikri, Muhammad Aulia Gunawan, Jaka Harahap, Muhammad Fadli Harahap, Raja Halomoan Sahilun Harahap, Sukma Ananda Hasibuan, Putri Indah Julia Hazwani, Nazla Helmi, Elsy Shafira Hutabarat, Dio Wahyu Habibi Ikhsan, Ramadhani Al Ilka Zufria Kerina, Akidah Nur Khairunnisyah, Siti Lubis, Farhan Rusdy Asyhary M. Iqbal Matanari, Hanif Kurniawan Mefalano, Arian Muhamad Alda Muhammad Dedi Irawan Muhammad Siddik Hasibuan Muliani Harahap, Aninda Nasution, Adnan Buyung Nasution, Erwin Pasaribu, Afifah Balqis Pratiwi, Agita Priyamita, Adinda Putri Permana, Nabilah Putri, Lisa Amelia Rahmah, Nadila Alya Raissa Amanda Putri Raisyah, Shafira Isra Rakhmat Kurniawan R Rao, Sarah Rasyad, Ismi Hamidah Rendy Andika, Rendy Risqullah, Fahira Khalisyah Roza, Yuda Fakhri Sahfitri, Fachira Nur Samsudin Samsudin Samsudin, Samsudin Sembiring, Muhammad Andyansyah Septiana Dewi Andriana, Septiana Dewi Sibarani, Fathiya Hasyifah Simatupang, Salmi Saputra Sinaga, Imam Adlin Suendri Suendri, Suendri Syahputra, Iqbal Maulana Syarifudin, Zaini Syuhada, Muhammad Randa Tanjung, Khairunnisa Teguh Kurniawan Tri Yuliana Ulan, Tri Ulandari Wangi, Putri Sekar Yulia, Anisa Zulkifli Zulkifli