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PEMBUATAN WEB DALAM LAYANAN BIMBINGAN DAN KONSELING JENJANG SMP/MT.S kurniawan, dydik; Wahyuningsih, Tri; Aru, heti
International Journal of Community Service Learning Vol. 4 No. 1 (2020): February 2020
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.151 KB) | DOI: 10.23887/ijcsl.v4i1.24244

Abstract

Pengabdian Ini bertujuan “untuk meningkatkan keterampilah Guru Bimbingan Dan Konseling  dalam pembuatan web Tingkat SMP/MT.s Se-Kecamatan Samarinda Ulu. Web merupakan alat komunikasi dengan menggunakan target seseorang untuk menyampaikan informasi kepada khalayak, dalam web ini seseorang dapat menyampaikan ide, pikiran atau gagasan untuk melakukan suatu rencana. Melalui Media web untuk Layan informasi Bimbingan dan Konseling sangat cocok untuk masyarakat yang luas dalam menyebarkan informasi. Sasaran kegiatan pengabdian masyarakat adalah para Guru Bimbingan dan Konseling jenjenag SMP/MT.s Se-Kecamatan Samarinda Ulu. Melalui kegiatan ini kami harapkan dapat: Memberikan kontribusi, kreatifitas, dan keterampilan yang besar sebagai pemahaman tentang pentingnya media dalam layanan informasi. Keberhasilan dari pelaksanaan program pengabdian masyarakat dapat dilihat dari: respons peserta workshop diukur melalui tahapan observasi selama pelatihan berlangsung. Berdasarkan hasil pelaksanaan kegiatan pengabdian kepada masyarakat dapat disimpulkan yaitu Kegiatan ini mampu memberikan manfaat yang sangat besar dan tepat sasaran bagi peserta (guru) yang menjadi  sasaran dalam kegiatan ini. Bentuk pelatihan seperti ini merupakan bentuk yang sangat efektif untuk memberikan penyegaran/meningkatkan keterampilan dan tambahan wawasan serta pengetahuan peserta khususnya di bidang teknologi informasi. Materi yang disajikan dapat diterima, dicerna, dan dipahami peserta dengan baik. Kegiatan berlangsung lancar, tepat waktu dan sesuai dengan yang diharapkan dan para peserta dapat berkomunikasi dengan para pembicara dan peserta lain dengan baik.
Pelatihan Pembuatan Aplikasi Alat Tes Menggunakan Macromedia Flash dan Google Forms Bagi Konselor Sekolah Kurniawan, Dydik; Wahyuningsih, Tri; Umar, Huzaifah
International Journal of Community Service Learning Vol. 5 No. 2 (2021): May 2021
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.855 KB) | DOI: 10.23887/ijcsl.v5i2.35536

Abstract

Pelaksanaan bimbingan dan konseling di beberapa sekolah masih dilakukan secara manual sehingga membutuhkan waktu dan biaya yang cukup mahal. Pelatihan ini dilaksanakan dengan maksud agar pembuatan program Bimbingan dan Konseling disekolah dapat terlaksana selama masa pandemik Covid 19, sehingga pelaksaan program yang dibuat berjalan dengan baik. Pelatihan dilaksanakan selama 3 hari dengan diikuti 25 peserta, pelaksanaan pelatihan ini dilaksanakan secara Daring. Hasil dari pelatihan mampu meningkatkan pengetahuan dan keterampilan guru dalam pembeuatan instrument (alat tes)menjadi lebih menarik serta berbasis online yang dapat menjadi solusi di masa pandemik covid 19, dengan memanfaatkan instrument (alat tes) tersebut tugas para guru Bimbingan dan Konseling akan lebih efektif dan efisien. Kesimpulan Hasil kegiatan terjadinya Peningkatan Kompetensi guru mengoptimalkan pembuatan aplikasi alat tes memanfaatkan macromedia flash dan google forms.
The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School Muhammad Choerul Umam; Cicilia Dyah Sulistyaningrum I.; Dydik Kurniawan; Priyono Tri Febrianto
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 4 (2024): December
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13488

Abstract

This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. Data preprocessing, model training, and hyperparameter tuning were conducted, followed by evaluation using metrics like accuracy and precision. A web-based application was developed for user interaction and deployment. The result showed that the Decision Tree and Naive Bayes algorithms achieved the highest accuracy at 55%, followed by SVM at 50%, and Random Forest at 45%. This suggests that simpler models may be more suitable for the dataset's characteristics. The system also demonstrated the feasibility of practical deployment for educational use. The study concludes that ESRPS effectively uses machine learning to assess school readiness, highlighting the value of data preprocessing and model tuning in enhancing accuracy. Despite moderate accuracy levels, the study confirms the system's potential for aiding educators and parents in supporting children's transition to school.
The Students’ ICT Skills in Producing Infographic Media and Video: Guidance and Counselling E-Project Tasks Kurniawan, Dydik; Wahyuningsih , Tri
Utamax : Journal of Ultimate Research and Trends in Education Vol. 4 No. 2 (2022): Utamax : Journal of Ultimate Research and Trends in Education
Publisher : LPPM Universitas Lancang Kuning. Pekanbaru. Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/utamax.v4i2.9293

Abstract

The study sees, there is still a lack of student ICT skills in producing a multimedia platform to support guidance and counselling services. This mixed method aimed to analyze the ICT skills of students from the department dept. of Guidance and Counselling in producing interesting, effective, and efficient infographic media and video as well as evaluation materials for lecturers in correcting the shortcomings of the lecture process. Using saturated total sampling technique of 76 students’ from class of 2020 this present study focuses on Infographic Design, Video, and Material. Data collection were based in the form of documentation include e-infographic project tasks, video tasks, infographic assessment sheets, and video assessment sheets which analyzed using descriptive statistics in the form of average values and percentages, which are then converted to qualitative data. The results of the assessment obtained for infographic design (3.53 ), materials in the appropriate category (3.78), and for video (4.00). Media that has been created by students in the form of Infographics and videos provides one of the solutions in providing guidance and counselling services during the Covid-19 pandemic or in the new normal situation. Therefore this study highlighted the excellence in-making skills of students or candidates for Guidance and counseling of Mulawarman University in creating infographic media and videos are very important in supporting and providing guidance and counselling services as their career path in the future.
Educational Revolution : Digital Project-Based Rotation Learning (DPBRL) Model to Improve Students' Critical Thinking Skills Kurniawan, Dydik; Masitoh, Siti; Bachri, Bachtiar Sjaiful; Hidayat, Taufik; Wahyuningsih, Tri
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 3 (2024): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i3.12634

Abstract

The research aimed to develop and assess the effectiveness of the Digital Project-Based Rotation Learning (DPBRL) model in enhancing students' critical thinking skills. The study employed a research and development method, using a non-equivalent control group design during the pilot phase, a research method used to describe and measure the characteristics of populations or phenomena systematically using numerical data, involving 83 undergraduate students from Mulawarman University Guidance and Counseling Study Program, divided into two heterogeneous classes. Validation of the DPBRL model was conducted by experts in learning model design, materials, and media, with data collected through validation sheets, interviews, document analysis, questionnaires, observation, and documentation. The data was analyzed using descriptive technique and Independent Samples t-test. The results demonstrated that the DPBRL model effectively improved students' critical thinking skills and digital literacy, particularly through the use of digital modules with Flipbook Maker. The model’s rotation structure and presentation stage provided a structured learning approach, highlighting the importance of feedback. The study concluded that integrating technology and collaboration in project-based learning through the DPBRL model significantly benefited students’ critical thinking, digital literacy, and teamwork, offering a comprehensive and effective learning experience.
The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School Umam, Muhammad Choerul; Sulistyaningrum I., Cicilia Dyah; Kurniawan, Dydik; Febrianto, Priyono Tri
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 4 (2024): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13488

Abstract

This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. Data preprocessing, model training, and hyperparameter tuning were conducted, followed by evaluation using metrics like accuracy and precision. A web-based application was developed for user interaction and deployment. The result showed that the Decision Tree and Naive Bayes algorithms achieved the highest accuracy at 55%, followed by SVM at 50%, and Random Forest at 45%. This suggests that simpler models may be more suitable for the dataset's characteristics. The system also demonstrated the feasibility of practical deployment for educational use. The study concludes that ESRPS effectively uses machine learning to assess school readiness, highlighting the value of data preprocessing and model tuning in enhancing accuracy. Despite moderate accuracy levels, the study confirms the system's potential for aiding educators and parents in supporting children's transition to school.