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All Journal Educational Guidance and Counseling Development Journal ASNAF Saturnus: Jurnal Teknologi dan Sistem Informasi
Cici Pratiwi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Efektifitas Penggunaan Media Pembelajaran Berbasis Blended Learning untuk Mengurangi Burnout Belajar Pada Perkuliahan Bimbingan dan Konseling Keluarga di Prodi Bimbingan dan Konseling Universitas Bengkulu Anna Ayu Herawati; Vira Afriyati; Suci Habibah; Cici Pratiwi
Educational Guidance and Counseling Development Journal Vol 3, No 2 (2020): EGCDJ
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/egcdj.v3i2.10784

Abstract

Penelitian ini dilatarbelakangi oleh masih belum optimalnya pembelajaran di kelas dengan metode ceramah, Mahasiswa mengalami kejenuhan belajar yang disebut dengan burnout belajar. Upaya yang dilakukan dalam mengurangi tingkat burnout belajar mahasiswa adalah dengan menggunakan media pembelajaran berbasis blended learning. Penelitian ini bertujuan untuk menguji efektifitas penggunaan media pembelajaran berbasis blended learning untuk mengurangi tingkat burnout belajar mahasiswa. Penelitian ini menggunakan metode kuantitatif. Jenis penelitian ini adalah quasi experiment dengan rancangan one group pretest-posttest design. Subjek penelitian ini adalah mahasiswa BK UNIB semester 3B. Instrument penelitian yang digunakan adalah skala likert. Hasil penelitian menunjukkan bahwa penggunaan media pembelajaran berbasis blended learning efektif untuk mengurangi burnout belajar mahasiswa. Implikasi hasil penelitian ini adalah dapat dijadikan bahan masukan bagi dosen untuk memanfaatkan media pembelajaran berbasis blended learning dalam perkuliahan. Kata kunci: Burnout Belajar, Blended Learning.
the Impact of religiosity, self awareness and trust on muzakki's interest to pay zakat in BAZNAS Langsa Mustafa, Fakhrizal; Mustika Noor Mifrahi; Cici Pratiwi
ASNAF : Journal of Economic Welfare, Philantrophy, Zakat and Waqf Vol 1, No 2 (2022)
Publisher : Prodi Manajemen Zakat dan Wakaf, Fakultas Ekonomi dan Bisnis Islam Institut Agama Islam Negeri Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/asnaf.v1i2.4948

Abstract

Abstract Objectives - This study aims to determine the factors that influence Muzakki's interest in paying zakat in Baznas Langkat Regency either partially or simultaneously. Methods - This study uses field research by conducting a survey of 95 people with a cluster random sampling approach. A regression test was conducted to determine the effect of religiosity, self-awareness and trust on muzakki's interest in paying zakat. Results - The results showed that the influence of religiosity and awareness partially had a significant positive effect on Muzakki's interest in paying zakat in Baznas, Langkat Regency. The effect of self-awareness on Muzakki's interest in paying zakat shows self-awareness. Meanwhile, trust shows an insignificant number, which means it does not affect interest in paying zakat in a positive direction. Limitations – This study has limitations in terms of the number of respondents. In addition, the research subjects are people who consistently pay professional zakat and do not include people who are reluctant to pay professional zakat. Implications – As a practical implication, the results can be used as a reference by the government, especially zakat institutions, in encouraging marketing strategies. To improve zakat payment in Baznas, they should consider the community's behaviour in paying zakat.
Implementasi Jaringan Syaraf Tiruan untuk Menentukan Penutupan Kompetensi Keahlian SMK berdasarkan Minat Siswa Alisya Alfina Rizki Ritonga; Lailan Sofinah Harahap; Cici Pratiwi
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1276

Abstract

The development of vocational education requires Vocational High Schools (SMK) to align their competencies with student interests and industry needs. However, a mismatch between student interests and the competencies offered can result in low enrollment, requiring schools to consider closing certain programs. This study proposes the application of Artificial Neural Networks (ANNs) as a predictive method to determine the potential closure of vocational competencies based on an analysis of student interest patterns. The data used includes interest history, academic grades, and other preference indicators, which are then subjected to a preprocessing stage to ensure the quality of the model’s input. The ANN is trained to accurately recognize interest patterns, thus generating objective and adaptive decision-making recommendations. The results show that the ANN implementation provides high accuracy in predicting student interest trends and provides more precise The development of vocational education in Vocational High Schools (SMK) requires the ability to align skill competencies with students' interests and industry needs. A mismatch between students' interests and the competencies offered can lead to low interest in certain programs, which in turn may result in the decision to close those programs. This study proposes the application of Artificial Neural Networks (ANN) as a predictive method to determine the potential closure of skill competencies based on the analysis of students' interest patterns. The data used includes interest history, academic grades, and other preference indicators. This data is processed through a preprocessing stage to ensure the quality of input for the model. The ANN is trained to accurately recognize students' interest patterns, allowing it to generate more objective and adaptive decision recommendations. The results of the study show that the application of ANN has high accuracy in predicting students' interest trends and provides more precise recommendations compared to traditional methods. Therefore, this system can be an effective tool for schools to plan curriculum policies more strategically and sustainably, as well as support decisions regarding skill programs that align with students' interests and industry needs.  
Co-Authors Alisya Alfina Rizki Ritonga Anna Ayu Herawati Lailan Sofinah Harahap Mustafa, Fakhrizal Mustika Noor Mifrahi Suci Habibah Vira Afriyati