Abstract:Black tea processing Is categorized into two methods: (1” Orthodox and (2) CTC (Crushing, Tearing, and Curling). These methods are implemented through hands-on activities at the company/factory based on theoretical knowledge,…
wledge, which is then applied in the form of field work practice (PKL). The conclusions drawn from the field work practice are as follows: The Sidamanik Plantation Is one of 24 tea plantations under the Sidamanik Plantation Unit of PTPN IV, located in Sidamanik ’istrict. The CTC black tea produced at the Sidamanik factory Is then shipped to the main factory for ’lending there, with the composition regulated by the technology department, as the CTC black tea from the Sidamanik factory does not yet have a s’les label. At the Sidamanik factory, grinding Is performed in two stages using a 15” Rotorvan” (RV) machine for the first grinding and a 36” Teaman CTC 4-Cut machine with four sets of sequential rollers for the second grinding. The Rotorvane’s capacity is 484,739.3533 kg of withered tea leav’s per hour, equivalent to 581,710.4923 ’g of fresh withred tea leaves per hour, and equivalent to ’21,810.1771 kg of dry tea per hour” The CTC plant’s capacity is 18,274.7704 kg of ground tea pe” hour, equivalent to a capacity of 21,930.6017 kg of fresh withered tea leaves per hour, and ”quiv’lent to a capacity of 4,592.2680 k” of dry tea per hour
Abstract:Processing leaves to make compost is generally still done by chopping using a machete, or many are not chopped, making it difficult for the leaves to decompose or rot. This research aims to determine the results of chopping…
ing using a single blade and by varying the size of the blade and varying the rotation speed of the machine. The benefit of this research is to determine the influence of leaf chopper machine components, especially the number of leaf chopper blades, using descriptive qualitative research methods with data collection methods, literature studies and observations. The research location is in the HKBP Nommensen University Laboratory workshop, Pematang Siantar, North Sumatra. The research process took the form of testing carried out in several stages, namely using a single blade by varying the length of the blade and varying the rotation speed of the machine to compare the speed and chopping results. Three trials were carried out each with varying blade lengths of 30cm, 35cm and 40cm and rotation variations of 2500rpm, 3000rpm and 5000rpm. The results are in the form of a comparison of speed and counting results between variations of 30cm, 35cm and 40cm. The test results more effectively lead to variations in blade size of 40cm. And the results of testing the engine rotation speed which is more effective leads to a rotation speed variation of 5000rpm.
Abstract:Perkembangan teknologi informasi mendorong pemanfaatan machine learning dalam analisis data penjualan untuk mendukung pengambilan keputusan bisnis. Minimarket Mardi memiliki beragam produk dengan pola pembelian yang bervariasi,…
ariasi, sehingga diperlukan metode analisis yang mampu mengelompokkan data penjualan secara lebih terstruktur. Penelitian ini menerapkan algoritma K-Means Clustering untuk melakukan segmentasi penjualan berdasarkan atribut tertentu, seperti kategori produk, jumlah penjualan, serta frekuensi transaksi. Tahapan penelitian meliputi pengumpulan data, pra-pemrosesan, penentuan jumlah klaster optimal dengan metode Elbow, serta implementasi algoritma K-Means. Hasil analisis menunjukkan terbentuknya beberapa klaster yang merepresentasikan pola penjualan produk di Minimarket Mardi, mulai dari produk dengan tingkat penjualan tinggi, sedang, hingga rendah. Segmentasi ini dapat membantu manajemen minimarket dalam merancang strategi pemasaran yang lebih tepat sasaran, pengelolaan stok yang lebih efisien, serta peningkatan pelayanan kepada konsumen. Dengan demikian, penerapan K-Means Clustering terbukti efektif dalam mendukung pengambilan keputusan berbasis data di sektor ritel.