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All Journal Journal of Computer Networks, Architecture and High Performance Computing Indonesian Journal of Multidisciplinary Science Jurnal Kognisia
Wangi, Putri Sekar
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences

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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.
HUBUNGAN ANTARA RELATION SAVORING DENGAN KEPERCAYAAN PADA PASANGAN DEWASA AWAL YANG MENJALANI PERNIKAHAN JARAK JAUH DI KOTA BANJARABRU Wangi, Putri Sekar; Erlyani, Neka; Mayangsari, Marina Dwi
Jurnal Kognisia Vol 1, No 1 (2018): April
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jk.v1i1.1379

Abstract

Pernikahan jarak jauh menggambarkan situasi terpisahnya pasangan secara fisik, yaitu salah satu pergi ke tempat lain karena kepentingan lain, dan pasangan yang lain tetap tinggal di rumah, akibatya timbul kecemasan, emosi tidak stabil, kesepian, dan ragu terhadap pasangan. Untuk mengatasinya dibutuhkan saling percaya diantara pasangan, melalui relation savoring, yaitu masing-masing fokus menikmati peristiwa positif yang pernah dirasakan, sehingga dapat meminimalisir kondisi psikologis negatif yang muncul saat berjauhan dengan pasangan. Tujuan penelitian ini untuk mengetahui hubungan antara relation savoring dengan kepercayaan pada pernikahan jarak jauh. Penelitian ini menggunakan pendekatan kuantitatif dengan rancangan penelitian jenis kolerasi. Teknik yang digunakan purposive sampling. Hasil analisis uji kolerasi menggunakan prodact moment dari Kalr Pearson menunjukkan terdapat hubungan positif antara relation savoring dengan kepercayaan pada dewasa awal yang menjalani pernikahan jarak jauh di kota Banjarbaru, r = 0,675; n = 40; p 0,000 (< 0,05). Kesimpulannya bahwa semakin tinggi relation savoring, maka semakin tinggi pula kepercayaan yang terbangun, dan sebaliknya.
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.
The influence of transformational leadership and organizational commitment on employee performance of tea distributor Gusti, Rizka Pamuji; Wangi, Putri Sekar; Nofiantari, Putri; Hardjowikarto, Dharliana; Kartono, Kartono
Indonesian Journal of Multidisciplinary Science Vol. 3 No. 9 (2024): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v3i9.894

Abstract

This study focuses on the impact of transformational leadership, organizational culture, and organizational commitment on employee performance of Javanese tea distributors. The research methodology is quantitative, involving 115 individuals from the Java Tea Distributor. Data collection was done through questionnaires, which were used to assess factors such as transformational leader, organizational commitment, and employee performance. The reliability of Partial Least Squares (PLS) analysis was assessed in this study using the Cronbach Alpha, Composite Reliability, and Average Variance Extracted (AVE) methods. The results showed that Transformational Leadership has an indirect influence on Employee Performance through its influence on Organizational Commitment. The study reveals that organizational commitment has a significant impact on the performance of the Javan tea distributor personnel using the SmartPLS application.
Co-Authors Gusti, Rizka Pamuji Hardjowikarto, Dharliana Kartono, Kartono Marina Dwi Mayangsari Neka Erlyani Nofiantari, Putri Triase Triase, Triase