1,721,029 research outputs found
Menentukan Pola Pembelian Produk Dengan Rule Mining Algoritma Apriori Pada Ud. Pelita Kita Padang
Penelitian ini merupakan penelitian kuantitatif menggunakan data sekunder dari transaksi penjualan perusahaan menggunakan rule asosiasi Apriori. Tujuannya adalah untuk melihat pola perilaku pembelian pelanggana terhadap produk-produk UD. Pelita Kita Padang secara kombinasi. Dari hasil pengujian rule asosiasi Apriori, didapat 5 rule asosiasi yang terbentuk. Pola asosiasi yang terbentuk dalam hasil pengujian menggunakan nilai minimum support 30% dan nilai minimum confidence 70% menghasilkan 5 aturan rule asosiasi. Dan strong rules tertinggi didapatkan pada rule asosiasi J → P dengan nilai support 38% dan nilai confidence 86,4%. Artinya pelanggan yang membeli produk J (Jendela) dan P (Pintu) secara bersamaan sebanyak 38% dari semua transaksi yang ada, dengan tingkat kebenaran atau keyakinan mereka akan membeli keduanya secara bersamaan adalah 86,4%
BUSINESS SUSTAINABILITY MODEL THROUGH BUSINESS PERFORMANCE AND ADAPTIVE CULTURAL at MSMEs BUNGO REGENCY INDONESIA
Abstract:
The Covid-19 pandemic has affected nearly two-thirds of activities in micro and small businesses, a decline of about 20%. In Indonesia, the impact of the pandemic decreased sales turnover by 30%, but in Bungo Regency there was an anomaly to the growth of MSMEs almost 300% from before. This research aims to determine and measure the direct and indirect influence of variable relationships on business sustainability, business performance, Adaptive Culture, Innovation, Digital Marketing and Manager Behaviour. The number of samples that meet the criteria in this study is 428 units of MSMEs selected by Purposive sampling and then the data is tested using SEM PLS. The results of data processing from ten direct influence hypotheses submitted was accepted. Meanwhile, seven indirect influence hypotheses proposed, five hypotheses are acceptable while two of them are rejected. This research has been able to empirically prove the direct influence of Adaptive Culture with Business Sustainability but adaptive culture has not been able to mediate for the influence of innovation and digital marketing on business sustainability. The study also examined the influence of Innovation on Adaptive Culture with negative and significant results
Data Mining Menggunakan Metode K-Means Clustering Untuk Menentukan Besaran Uang Kuliah Tunggal
Digitalisasi dan otomasi dalam pelayanan mahasiswa di Perguruan Tinggi dapat menghasilkan big data. Amanat pemerintah dalam Peraturan Mentri Riset Teknologi dan Pendidikan Tinggi agar besaran Uang Kuliah Tunggal (UKT) di Perguruan Tinggi Negeri dibagi ke dalam 5 kelompok berdasarkan tingkatan kondisi sosial ekonomi orang tua. Dalam proses menetapkan UKT begitu banyak indikator sosial ekonomi orang tua yang harus dijadikan acuan sehingga menyulitkan dalam mengidentifiksi dan mencari formula yang tepat. Untuk mengelompokkan data mahasiswa ini dilakukan dengan teknik data mining menggunakan metode K-Means Clustering. Metode ini mengelompokkan besaran UKT mahasiswa berdasarkan pola atau kemiripan data sosial ekonomi orang tua. Data yang digunakan dalam penelitian ini adalah data calon mahasiswa baru Unversitas Negeri Padang. Pengelompokan ini bertujuan untuk membantu menetapkan besaran UKT calon mahasiswa baru pada Perguruan Tinggi Negeri. Hasil dari penelitian diperoleh 5 kelompok besaran UKT, terdiri dari UKT kategori 1 Rp. 500.000, UKT kategori 2 Rp. 1.000.000, UKT kategori 3 Rp. 2.000.000, UKT kategori 4 Rp. 3.000.000 dan UKT kategori 5 Rp. 4.000.000.
 
Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image
Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.
Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions
Data Mining Menggunakan Rough Set dalam Menganalisa Modal Upah Produksi pada Industri Seragam Sekolah
Data Mining Menggunakan Rough Set dalam Menganalisa Modal Upah Produksi pada Industri Seragam Sekolah
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