The revolution in information and communication technology occurred during the last few years. During the COVID-19 pandemic that hit Indonesia, all sectors experienced obstacles, including the education sector which was hampered from carrying out teaching and learning activities. Along with the times, the process of teaching and learning activities in the classroom now has many challenges and demands. One-way learning makes the learning atmosphere boring, it is feared that it will affect students' motivation to study the material, so it is modified into blended learning. This model combines offline and online learning, is student centered, namely students must be active in understanding the material, efficient in time, energy, and place because it can be done anywhere. The methods used in this training activity are lectures and discussions, guidance and training. As a result of this blended learning In House Training, all participants actively participated in this activity and participants gained new insights about blended learning strategies that could be implemented in the classroom teaching process during the COVID-19 pandemic to become more varied and innovative
Perkembangan di era globalisasi semakin pesat, salah satunya di dunia industri dan pembangunan di Indonesia. Perkembangan pada sektor pembangunan akan terus dikerjakan untuk meningkatkan perekonomian negara. Peramalan sangat penting untuk setiap perusahaan, karena terkait dengan penentuan produksi di perusahaan dan produksi merupakan bagian penting dalam operasional perusahaan. Dengan adanya peramalan, perusahaan dapat mencapai tujuan serta pengambilan keputusan dalam proses produksinya. PT. XYZ bergerak dalam industri semen dimana tingginya permintaan produk semakin meningkat, maka perlu dilakukan peramalan kedepannya. Dalam pengumpulan data dilakukan observasi dan wawancara, kemudian melakukan perhitungan peramalan dengan beberapa metode peramalan time series dan diharapkan perusahaan mampu mendapatkan hasil yang terbaik dari peramalan tersebut. Hasil perhitungan peramalan yang dipilih mengggunakan metode regresi linear. Hal ini karena metode tersebut memiliki nilai MSE sebesar 150.354.832 dan MAPE sebesar 39,14 yang merupakan nilai error terkecil dibandingkan dengan metode lainnya.
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