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All Journal Techno.Com: Jurnal Teknologi Informasi Journal Of Computer Science Contributions (JUCOSCO)
Malikus Sumadyo
Universitas Islam 45 Bekasi
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Pelatihan Pemanfaatan Software Pendukung Statistik Dalam Pengolahan Data Kuantitatif Bagi Guru-Guru SMA Herlawati Herlawati; Prima Dina Atika; Rahmadya Trias Handayanto; Malikus Sumadyo; Seta Samsiana; Anita Setyowati Srie Gunarti; Maimunah Maimunah
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 2 (2022): Juli 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/79gqt343

Abstract

Teachers need additional knowledge of quantitative data processing using statistical support software because of the diverse educational backgrounds of teachers such as education science, management science, although there are also those whose educational background is mathematics and natural sciences (MIPA). In addition, the level of awareness of teachers to study statistics for processing quantitative data is still low and is considered less important. Solutions that can be given to this community service activity include organizing training on the use of statistical support software to provide understanding and skills in the use of such software, including Microsoft Ms.Excel and Matlab Mobile in an effective and efficient manner. This can be done through the mentoring process in this activity and will be followed by other advanced trainings. The results of this training, based on a survey using an online mentimeter, showed that it was very useful and the participants wanted to continue this training with the theme of using the Statistical Package for the Social Sciences (SPSS).
Pelatihan Pemanfaatan Software Pendukung Dalam Pembuatan Artikel Ilmiah Terpublikasi Bagi Guru-Guru SMA Herlawati Herlawati; Prima Dina Atika; Andy Achmad Hendharsetiawan; Rahmadya Trias Handayanto; Malikus Sumadyo; Retno Nugroho Whidhiasih; Inna Ekawati; Dadan Irwan; Haryono Haryono
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 2 (2023): Juli 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/sgfq4k95

Abstract

Supportive software for scientific article creation is an application that assists in writing scientific articlesefficiently and effectively. This software features reference management, note-taking, text review, andformatting according to academic standards. The training to be provided will focus on creating scientificarticles using supportive software to enhance the competence of teachers in publishing their scientific articles.By understanding how to create scientific articles, high school teachers can improve their academic abilities,serve as positive examples for students, provide resources, and contribute to research and educationaldevelopment. This can help improve the quality of education and produce competent and skilled students. Theproposed solution is to organize training on the utilization of supportive software in scientific article creation.This training will provide understanding and skills in using software such as Mendeley and ChatGPT. Mendeleyis a reference management software that assists in collecting, managing, and storing references for scientificarticles. Additionally, Mendeley helps organize references according to various writing styles such as APA,MLA, Chicago, Vancouver, and IEEE. ChatGPT, on the other hand, is a natural language model that helpsgenerate structured and meaningful texts. In the context of scientific article creation, ChatGPT can assist informulating and organizing ideas or concepts, as well as providing suggestions or feedback for scientificwriting. Both of these software options can be chosen based on the needs and preferences of the writer. Theresults of this training, based on a survey using an online mentimeter, showed that it was very useful and theparticipants wanted to continue this training.
Model Academic help-seeking dan Career adaptability Menggunakan Jaringan Syaraf Tiruan Malikus Sumadyo; Lucky Purwantini; Endang Retnoningsih
Techno.Com Vol 23, No 1 (2024): Februari 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i1.9474

Abstract

Academic help-seeking (pencarian bantuan pembelajaran) dan career adaptability (kemampuan beradaptasi dalam karier) adalah dua faktor penting yang mempengaruhi keberhasilan seseorang dalam mencapai tujuan karier. Academic help-seeking dapat membantu individu dalam memperoleh informasi dan dukungan dari orang lain dalam mengatasi masalah pembelajaran. Sementara itu, career adaptability memungkinkan individu untuk mengatasi perubahan dan tantangan dalam karier dengan lebih baik, dengan demikian kedua faktor tersebut memungkinkan untuk membentuk pola yang dapat diteliti. Namun demikian, saat ini belum banyak penelitian yang memperhatikan hubungan antara kedua faktor tersebut. Penelitian bertujuan mengembangkan pola Academic help-seeking dan Career adaptability. Academic help-seeking sebagai variabel masukan dan career adaptability sebagai variabel keluaran, masing-masing menjadi variabel untuk dijadikan model jaringan syaraf tiruan. Penelitian menggunakan model algoritma jaringan syaraf tiruan. Model penelitian bermanfaat memprediksi kemampuan beradaptasi dalam karier seseorang dengan melihat perilaku help-seeking dalam pembelajaran.
Co-Authors Andy Achmad Hendharsetiawan Anita Setyowati Srie Gunarti Dadan Irwan Endang Retnoningsih Haryono Haryono Herlawati Herlawati Inna Ekawati Lucky Purwantini Maimunah Prima Dina Atika Rahmadya Trias Handayanto Retno Nugroho Whidhiasih Seta Samsiana