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COMMOGNITIVE SISWA PADA PEMECAHAN MASALAH MATERI SPLDV DI SMK PGRI KRAS KEDIRI Santoso, Ilham Budi; Ummu Sholihah; Dewi Asmarani
PERISAI: Jurnal Pendidikan dan Riset Ilmu Sains Vol. 3 No. 1 (2024): Februari Jurnal PERISAI
Publisher : LPPM - Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/perisai.v3i1.622

Commognitive merupakan teori yang menghubungkan antara komunikasi dalam diri siswa dengan proses berpikir mereka sendiri yang dinyatakan dalam bentuk tulisan maupun lisan. Tujuan penelitian ini adalah mendeskripsikan commognitive siswa dalam pemecahan masalah materi SPLDV berdasarkan tipe Adversity Quotient yaitu Climber, Campers, dan Quiters. Penelitian ini menggunakan pendekatan kualitatif. Sumber datanya adalah lima siswa kelas X AKL (Akuntansi Keuangan Lembaga) di SMK PGRI Kras Kediri. Teknik pengumpulan datanya dengan observasi, angket untuk mengetahui tipe AQ siswa, dan tes dengan soal cerita sederhana dan soal AKM. Analisis data dengan reduksi data, penyajian, dan verifikasi. Hasil Penelitian menunjukkan bahwa 1) siswa tipe climbers menggunakan seluruh komponen commognitive pada setiap langkah-langkah penyelesaiannya, 2) siswa tipe campers menggunakan seluruh komponen commognitive pada soal pertama tetapi hanya muncul satu komponen commognitive pada soal kedua, 3) siswa tipe quitters hanya muncul satu komponen commognitive baik pada soal pertama maupun soal kedua.

Educating on the Application of Tensorflow in Artificial Intelligence, Machine Learning and Deep Learning Santoso, Ilham Budi; Aji, Irfan Pandu; Franskusuma, Sutio; Putri, Khansa Aqila; Ardharani, Yana; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Meilina, Popy; Rosanti, Nurvelly; Amri, Nurul
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.547

In addition to bringing positive impacts, technological developments also provide new challenges in improving people's technological literacy, especially related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). One of the main challenges is the low public understanding of these technologies, which are increasingly relevant in the era of digital transformation. On the other hand, Google developed a library with the name TensorFlow which is widely used for data processing in Artificial Intelligence, Machine Learning, and Deep Learning. Based on this, educational activities were carried out in the form of introducing and training the use of TensorFlow to the general public in the form of webinars and workshops with the theme ‘Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning’. The activity was carried out in two stages, namely webinars for delivering basic material and workshops for hands-on practice. Based on evaluation through a Likert scale questionnaire, the majority of participants stated that they were very satisfied with the quality of the material, presenters, and implementation of activities. The post-test results also showed an increase in participants' understanding of the material, as evidenced by correct answers on topics such as TensorFlow functions, supervised learning, and neural networks. The participation of 52 participants from various institutions shows the success of this activity in achieving its goals.

PENGARUH LEVEL KUNING TELUR PADA PENGENCER SUSU SKIM DAN LAMA WAKTU PENYIMPANAN TERHADAP MOTILITAS DAN ABNORMALITAS SPERMATOZOA AYAM KAMPUNG Santoso, Ilham Budi; Saleh, Dadang Mulyadi; Mugiyono, Sigit
ANGON: Journal of Animal Science and Technology Vol 2 No 1 (2020): ANGON: Journal of Animal Science and Technology
Publisher : Fakultas Peternakan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.angon.2020.2.1.p1-11

The purpose of this research was to determine the effect of the interaction between the addition of egg yolk levels in skim milk (P) diluents and storage time (W) on the motility and abnormalities of kampung rooster spermatozoa. The study used a completely randomized design (CRD) with a factorial pattern of 3 x 3 with a P factor (P0 = skim milk + 0% egg yolk, P1 = skim milk + 10% egg yolk, P2 = skim milk + 20% egg yolk) and a factor W (W1 = 10 minutes, W2 = 40 minutes, W3 = 70 minutes) at room temperature of each treatment was repeated three times. ANOVA test results showed that each of the interactions of the P and W factors had a very significant effect (P<0,01) on spermatozoa motility and the polynomial orthogonal test results showed a highly significant linear effect (P<0,01) on each treatment interaction P and W. The percentage of motility produced by P0W1, P1W1, P1W2, P2W1, and P2W2 treatments is above 50% so it is still suitable for IB use. The best treatment interaction was shown by the interaction of P1 (skim milk + 10% egg yolk) with W1, W2, and W3 on the motility of spermatozoa forming linear lines with the equation y = -0,484x + 82,93 and the coefficient of determination (R2) of 0,995. ANOVA test results did not show any significant effect (P> 0.05) on the interaction of P and W on spermatozoa abnormalities and each factor had its own effect. P treatment had a very significant effect (P<0,01) and formed a linear line with the equation Y = 0,009 x + 0,079 with a coefficient of determination (R2) of 0,915, while the W factor had a significant effect (p <0,05) but had no significant effect (P>0,05) both linearly and quadratically. Abnormalities resulting from all treatments are below 20% making it suitable for insemination. From the results of this research it can be concluded that kampung rooster spermatozoa treated with an additional 10% and 20% egg yolk level stored up to 40 minutes at room temperature are still suitable for insemination.

Educating on the Application of Tensorflow in Artificial Intelligence, Machine Learning and Deep Learning Santoso, Ilham Budi; Aji, Irfan Pandu; Franskusuma, Sutio; Putri, Khansa Aqila; Ardharani, Yana; Mujiastuti, Rully; Nurbaya Ambo, Sitti; Meilina, Popy; Rosanti, Nurvelly; Amri, Nurul
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.547

In addition to bringing positive impacts, technological developments also provide new challenges in improving people's technological literacy, especially related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). One of the main challenges is the low public understanding of these technologies, which are increasingly relevant in the era of digital transformation. On the other hand, Google developed a library with the name TensorFlow which is widely used for data processing in Artificial Intelligence, Machine Learning, and Deep Learning. Based on this, educational activities were carried out in the form of introducing and training the use of TensorFlow to the general public in the form of webinars and workshops with the theme ‘Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning’. The activity was carried out in two stages, namely webinars for delivering basic material and workshops for hands-on practice. Based on evaluation through a Likert scale questionnaire, the majority of participants stated that they were very satisfied with the quality of the material, presenters, and implementation of activities. The post-test results also showed an increase in participants' understanding of the material, as evidenced by correct answers on topics such as TensorFlow functions, supervised learning, and neural networks. The participation of 52 participants from various institutions shows the success of this activity in achieving its goals.

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