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Kemampuan Numerik pada Anak SD yang Memiliki Latar Belakang Keluarga TKW Febrianti, Dita; Kuryanto, Mohammad Syaffruddin; Riswari, Lovika Ardana
JIIP - Jurnal Ilmiah Ilmu Pendidikan Vol. 5 No. 12 (2022): JIIP (Jurnal Ilmiah Ilmu Pendidikan)
Publisher : STKIP Yapis Dompu

Tujuan pada penelitian ini adalah untuk menganalisis kemampuan numerik anak SD pada keluarga TKW. Hasil Analisis kemampuan numerik anak SD pada keluarga TKW Desa Plukaran Gembong Pati, adalah sebegai berikut, siswa yang berkonsentrasi ketika pembelajaran mata pelajaran numerik dapat dikatakan baik karena dari 2 indikator dari segi perilaku kognitif, afektif dan psikomotorik, dari segi kognitif dan psikomotorik siswa telah memenuhi sebagian besar aspek tersebut. Kebanyakan siswa di kelas I & V mampu cepat tanggap mengenai materi, sama halnya dari segi perilaku psikomotorik siswa. Selain itu dari segi perilahu afektif siswa yang dailihat dari siswa yang dapat memperhatikan penjelasan materi yang diberikan guru dengan baik, namun masih ada atau terjadi kondisi siswa yang mengobrol saat pembelajaran dan bermain sendiri, hal tersebut tentu dapat mengganggu konsentrasi siswa ketika guru menyampaikan materi. Simpulan dari penelitian ini yaitu kemampuan numerik siswa SD pada keluarga TKW masih rendah, kemampuan dalam pemahaman materinya rendah dan dampaknya pada hasil belajar dibawah KKM.

Digging Deeper With Machine Learning for Unbalanced Multimedia Data Categorization Nihayatusyifa, Nihayatusyifa; Febrianti, Dita
Journal of Multimedia Trend and Technology Vol. 3 No. 1 (2024): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v3i1.47

Since many real-world data sets have skewed class distributions—in which the majority of data instances (examples) belong to one class and considerably fewer instances belong to others—classifying unbalanced data is an important area of research. While minority instances (fraud in banking operations, abnormal cells in medical data, etc.) in many applications actually represent the concept of interest, a classifier induced from an imbalanced data set is more likely to be biassed towards the majority class and show very poor classification accuracy for the minority class. Unbalanced data classification, particularly for multimedia data, continues to be one of the most difficult issues in data mining and machine learning, despite substantial research efforts. In this research, we present an extended deep learning strategy to address this difficulty and get encouraging results in the classification of skewed multimedia data sets. In particular, we examine the combination of advanced empirical research on convolutional neural networks (CNNs), a cutting-edge deep learning technique, and bootstrapping techniques. Given that deep learning techniques, like CNNs, are typically computationally costly, we suggest feeding low-level features to CNNs and demonstrate that this may be done in a way that saves a significant amount of training time while still producing promising results. The experimental findings demonstrate how well our methodology performs in the TRECVID data set when it comes to categorising highly unbalanced data.

Kasgot Fertilizer Production Training to Boost Agricultural Productivity and Economic Sustainability in Suwayuwo Village Rakhmawati, Antin; Nizar, Muhammad; Sulhan, Muhammad; Febrianti, Dita; Maulinda, Silvi
Amalee: Indonesian Journal of Community Research and Engagement Vol 5 No 2 (2024): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v5i2.5836

The Banana Chip and Peel Community Micro Business in Bandung needs help in marketing promotion and financial management despite the high nutritional potential of banana peels. This initiative aims to enhance local micro-businesses marketing strategies and financial practices by empowering community members with the necessary skills and knowledge. Utilizing a community-based research (CBR) method, the project involved focus group discussions, interviews, and marketing training seminars to identify obstacles and promote product innovation. Participants were taught effective marketing techniques and financial accounting practices, including cash flow management and profit-loss reporting. The results demonstrated a significant improvement in business stability and sales performance, with participants adopting diverse product offerings such as cheese and chocolate-flavored chips. Community engagement played a crucial role, ensuring strategies were culturally relevant and fostering a sense of ownership among participants. In conclusion, this initiative successfully applied theoretical frameworks to enhance the economic viability of local micro-businesses. By integrating effective marketing, sound financial management, and community participation, the program empowered entrepreneurs to innovate and sustain their enterprises, ultimately contributing to the region's economic development. Future efforts should build on these principles to support local businesses further.

Kasgot Fertilizer Production Training to Boost Agricultural Productivity and Economic Sustainability in Suwayuwo Village Rakhmawati, Antin; Nizar, Muhammad; Sulhan, Muhammad; Febrianti, Dita; Maulinda, Silvi
Amalee: Indonesian Journal of Community Research and Engagement Vol. 5 No. 2 (2024): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v5i2.5836

The Banana Chip and Peel Community Micro Business in Bandung needs help in marketing promotion and financial management despite the high nutritional potential of banana peels. This initiative aims to enhance local micro-businesses marketing strategies and financial practices by empowering community members with the necessary skills and knowledge. Utilizing a community-based research (CBR) method, the project involved focus group discussions, interviews, and marketing training seminars to identify obstacles and promote product innovation. Participants were taught effective marketing techniques and financial accounting practices, including cash flow management and profit-loss reporting. The results demonstrated a significant improvement in business stability and sales performance, with participants adopting diverse product offerings such as cheese and chocolate-flavored chips. Community engagement played a crucial role, ensuring strategies were culturally relevant and fostering a sense of ownership among participants. In conclusion, this initiative successfully applied theoretical frameworks to enhance the economic viability of local micro-businesses. By integrating effective marketing, sound financial management, and community participation, the program empowered entrepreneurs to innovate and sustain their enterprises, ultimately contributing to the region's economic development. Future efforts should build on these principles to support local businesses further.

Pengaruh Beban Kerja dan Lingkungan Kerja Terhadap Stres Kerja Karyawan PT Plasindo Elok Febrianti, Dita; Rini, Ratih Setyo
Jurnal Mnajemen | Ekonomi | Akuntansi Vol 2 No 2 (2026): Maret 2026 - Mei 2026
Publisher : CV Warnak Johanna Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63921/jmaeka.v2i2.375

Workload is one of the most frequently complained causes of stress and is the main reason for employees in an organization. While the work environment is everything around workers that can affect them when carrying out and completing the tasks given. This study consists of three variables, namely workload (X1), work environment (X2) and work stress (Y). This study used a sample of 50 employees of PT Plasindo Elok and used data collection methods through observation, questionnaires with a 5-1 scale and documentation studies. The data analysis method used was SPSS version 25, namely data quality testing, classical assumption testing, multiple linear regression analysis, hypothesis testing and determination coefficient testing (R2). The findings of the study stated that partially workload and work environment have a significant effect on work stress and the resulting regression analysis means that workload and work environment simultaneously have a significant effect on work stress.

Pemanfaatan Alat Pemantau Pembuatan Pupuk Organik Cair Berbasis IoT sebagai Penunjang Peningkatan Literasi Lingkungan pada Kelompok Tani di Desa Cibodas Lembang Pratama, Rizqi Aji; Ramadhan, Nur Jamiludin; Supriyanto, Hadi; Vitatrisanti, Aprillia; Pratama, Aristo Rizky; Widayat, Brian Wahyu; Fadly, Debryan; Febrianti, Dita; Mahardhika, Fadlan
Jurnal Abdidas Vol. 6 No. 5 (2025): Oktober 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v6i5.1224

Kurangnya pemanfaatan teknologi oleh petani di Desa Cibodas, Lembang, menjadi tantangan dalam meningkatkan efisiensi dan keberlanjutan pertanian. Untuk itu, kegiatan pengabdian yang dilakukan bertujuan untuk mengenalkan dan mengimplementasikan alat pemantau berbasis Internet of Things (IoT) dalam pembuatan Pupuk Organik Cair (POC) untuk meningkatkan literasi lingkungan dan keterampilan teknologi petani. Metode yang digunakan adalah Community-Based Research (CBR) melalui survei, pelatihan, dan pendampingan langsung kepada kelompok tani. Hasil kegiatan menunjukkan peningkatan kemampuan operasional mekanik, pemahaman sistem monitoring, serta keterampilan pembuatan POC menggunakan alat berbasis IoT. Alat ini menampilkan data suhu dan pH secara real-time sehingga memudahkan petani dalam memantau proses fermentasi secara akurat. Meskipun demikian, pelatihan lanjutan masih diperlukan untuk meningkatkan kemampuan interpretasi data dan pengambilan keputusan berbasis indikator. Program ini berhasil mendorong efisiensi produksi, pengurangan limbah organik, serta penerapan teknologi tepat guna dalam pertanian berkelanjutan

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