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Dani Dani
Indonesian Industrial and Beverage Crops Research Institute (IIBCRI)
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Journal : bit-Tech

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Penerapan Sifat Dasar Manusia dalam SPK dengan Metode MBTI Sebagai Acuan Komunikasi Kesan Pertama Dani, Dani; Saputra, Reza
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2248

Abstract

Penelitian ini mengembangkan sistem berbasis Myers-Briggs Type Indicator (MBTI) untuk membantu individu memahami sifat dasar kepribadian mereka dan menciptakan komunikasi kesan pertama yang efektif. Sistem ini menggunakan pendekatan kuantitatif dan kualitatif untuk mengidentifikasi tipe kepribadian pengguna dan memberikan rekomendasi komunikasi yang relevan dan personal. Dengan demikian, sistem ini dapat membantu pengguna memahami diri mereka sendiri dan meningkatkan kemampuan komunikasi mereka. Hasil penelitian menunjukkan bahwa sistem ini memiliki tingkat akurasi 75% dalam mengidentifikasi tipe kepribadian pengguna. Selain itu, responden memberikan tingkat kepuasan rata-rata 4,4 dari skala 5,0 terhadap pengalaman penggunaan sistem ini. Sistem ini juga membantu pengguna memanfaatkan sifat dasar mereka untuk meningkatkan potensi komunikasi, pengambilan sikap, serta strategi interaksi yang lebih baik. Dengan demikian, sistem ini dapat menjadi alat yang efektif untuk meningkatkan kemampuan komunikasi individu. Penelitian ini menyimpulkan bahwa penerapan metode MBTI dapat memberikan manfaat signifikan dalam mendukung komunikasi interpersonal yang lebih efektif dan bermakna. Sistem ini memiliki potensi besar untuk diterapkan secara luas di berbagai bidang, seperti rekrutmen, pendidikan, dan pelatihan interpersonal. Pengembangan lebih lanjut dapat mencakup integrasi teknologi canggih untuk meningkatkan akurasi dan personalisasi sistem guna mendukung kebutuhan komunikasi di era digital. Dengan demikian, penelitian ini dapat menjadi kontribusi yang signifikan dalam pengembangan sistem komunikasi yang lebih efektif dan personal.
English Language Learning System Using Web Based Rapid Application Development Method Dani, Dani
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2422

Abstract

This study aims to develop an interactive and fun web-based English learning application for school Pupil. The Rapid Application Development (RAD) method is used to design this application, which combines media elements such as animation, text, audio, and images. This application is made to arouse Pupil' enthusiasm for learning, while making it easier for teachers to teach. There are various fun and interactive features in it, for example, English learning materials are packaged with an attractive appearance, as well as the ability to monitor each Pupil's learning progress. By using this application, teachers can provide initial knowledge to Pupil more effectively and monitor Pupil learning progress online. This study has succeeded in developing an effective and efficient web based English learning application in improving Pupil' abilities in learning English. The evaluation results showed that 93.77% of Pupil succeeded in improving their English learning skills, with 30 out of 32 Pupil showing increased skills and a satisfaction level of 89.2% from teachers and 89.4% from Pupil.This web-based English learning application can be an alternative in the learning process at school, improving the quality of English learning for Pupil. The RAD method is effective in developing effective and efficient learning applications. This application is expected to increase Pupil' interest in learning and be an example for other schools. This research can contribute to the development of effective and efficient web-based English learning applications, improve the quality of English learning in schools, and be a solution to improve Pupil' English learning abilities.
Naïve Bayes Algorithm Analysis For Student Graduation Timeliness Prediction Anwar, A. Nurul; Dani, Dani; Napila, Ade
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2825

Abstract

This study developed a student graduation prediction system using the Naïve Bayes algorithm, using PS1-PS4 scores, PK, and SKS as indicators of academic progress. This model achieved 88.33% accuracy and an ROC value of 0.900, indicating superior predictive ability. These results outperform other common models such as logistic regression and the C4.5 decision tree, which have approximately 85% accuracy in predicting student graduation. These results also outperform previous research in the same field, which had ROC values of approximately 0.85.Graduation predictions were categorized as "ON TIME" and "LATE" with high precision. The Naïve Bayes algorithm has proven effective in predicting student graduation, particularly in identifying factors that influence graduation timeliness, such as poor academic performance, difficulty completing final assignments, poor personal conditions, and lack of motivation and interest.By designing a graduation prediction system using the Naïve Bayes algorithm, this research aims to help educational institutions predict student graduation timeliness and provide appropriate interventions. This system can improve educational quality and reduce dropout rates, making it an important tool for educational institutions to improve graduate quality and achieve their academic goals.This research demonstrates that the Naïve Bayes algorithm can be an effective and accurate graduation prediction method, thus helping educational institutions develop strategies to improve educational quality and reduce dropout rates. Therefore, this research has the potential to significantly impact higher education institutions and assist them in achieving their academic goals.
Co-Authors Afrizal, Ardi aji, himawan bayu Alkatiri, Awad Bin Muhammad Amrizal Amrizal Anwar, A. Nurul Aspin Aspin, Aspin Cici Tresniawati Damsahara, Damsahara Defitri, Wanda Desmita Desmita Edi Wardiana Effendi, Azhar Efi Taufiq Enny Randriani Handi Supriadi Hierdawati, Trie Ilham Nur Ardhi Wicaksono Ilham Nur Ardi Wicaksono, Ilham Nur Ardi Indah Sulistiyorini Indah Sulistyorini, Indah Irmanelly, Irmanelly Kamandanu, Fisko Arya M. B. Pabendon, M. B. Maulana, Arfah Napila, Ade Rahayu Lestari Reza Saputra, Reza Robby Susanto, Robby Rokhmah, Dewi Nur Rubiyo Rubiyo Rudin, Abas Sinaga, Apresus Stefani, Shiela Syafaruddin Syafaruddin Tety Rachmawati vera vera, vera WAHYU WIDOWATI Yuninda, Viranda Andria Zubaidah R, Zubaidah