186 research outputs found

    Clustering Application for UKT Determination Using Pillar K-Means Clustering Algorithm and Flask Web Framework

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    Clustering is one of technique in data mining which has purpose to group data into a cluster. At the end, a cluster will have different data compared with others. This paper discussed about the implementation of clustering technique in determining UKT (Uang Kuliah Tinggal) / Tuition Fee in Indonesia. UKT is a tuition fee where its amount is determined by considering students purchasing power. Most of University in Indonesia often use manual technique in order to classify UKT\u27s group for each student. Using web-based application, this paper proposed a new approach to automatise UKT\u27s grouping which leads to give an reasonable recommendation in determining the UKT\u27s group. Pillar K-Means algorithm had been implemented to conduct data clustering. This algorithm used pillar algorithm to initiate centroid value in K-means algorithm. By deploying students data at Institut Teknologi Sumatera Lampung as case study, the result illustrated that Pillar K-Means and silhouette coefficient value might be adopted in determining UKT\u27s grou

    Clustering Application for UKT Determination Using Pillar K-Means Clustering Algorithm and Flask Web Framework

    Full text link
    Clustering is one of technique in data mining which has purpose to group data into a cluster. At the end, a cluster will have different data compared with others. This paper discussed about the implementation of clustering technique in determining UKT (Uang Kuliah Tinggal) / Tuition Fee in Indonesia. UKT is a tuition fee where its amount is determined by considering students purchasing power. Most of University in Indonesia often use manual technique in order to classify UKT's group for each student. Using web-based application, this paper proposed a new approach to automatise UKT's grouping which leads to give an reasonable recommendation in determining the UKT's group. Pillar K-Means algorithm had been implemented to conduct data clustering. This algorithm used pillar algorithm to initiate centroid value in K-means algorithm. By deploying students data at Institut Teknologi Sumatera Lampung as case study, the result illustrated that Pillar K-Means and silhouette coefficient value might be adopted in determining UKT's grou

    QUALITY OF RICE STRAW SILAGE WITH VARIOUS ADDITIVES

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    Rice is a staple food for Indonesian people. Rice straw is waste produced from rice plant when harvesting. Rice straw can be utilized as feed for livestock especially ruminant. Silage is fermentation technology for preserving roughage such as rice straw. In making silage, additive is needed to maintain lactic acid bacteria for successful fermentation. The aim of this study was to evaluate the effects of various additives (rice bran, glucose and molasses) for three different varieties of rice crop. Rice varieties used were Inpari 30, Inpari NutriZinc and Rindang. This study was conducted in a Completely Randomized Design (CDR) with 4 treatments and 3 replications. Each variety was given treatment T0 = Rice Straw + Lactic Acid Bacteria (Lactobacillus plantarum 1A2); T1 =  T0 + Rice Bran 5%; T2 = T0 + Glucose 2%; T3 = T0 + Molasses 5%. The parameter observed were, pH, temperature, dry matter, ash, crude protein, crude fat and crude fiber. The data obtained are analyzed by analysis of variance (ANOVA) followed by Duncan Test. The results shown that the treatments significantly affect on pH, dry matter, ash, crude protein, crude fat and crude fiber. It was concluded that Inpari 30 was the best variety because it had the highest crude protein content 10.24% and rice bran was the best additive to produced best quality silage compared with other additives

    Photoassisted tunneling from free-standing GaAs thin films into metallic surfaces

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    The tunnel photocurrent between a gold surface and a free-standing semiconducting thin film excited from the rear by above bandgap light has been measured as a function of applied bias, tunnel distance and excitation light power. The results are compared with the predictions of a model which includes the bias dependence of the tunnel barrier height and the bias-induced decrease of surface recombination velocity. It is found that i) the tunnel photocurrent from the conduction band dominates that from surface states. ii) At large tunnel distance the exponential bias dependence of the current is explained by that of the tunnel barrier height, while at small distance the change of surface recombination velocity is dominant

    Miniatur Ropeba (Robot Pemindah Barang) Ft-uhamka

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    Robot Lengan Miniatur ROPEBA FT-UHAMKA dirancang untuk memberikan gambaran proses pemindahan barang dari satu tempat yang telah ditentukan menuju tempat lain. Robot ROPEBA digerakkan oleh perangkat pengatur mikro atau mikrokontroler ATMEGA 328P sebagai unit pemprosesan terpusat untuk semua perintah gerakan yang telah ditetapkan. Robot ROPEBA memiliki empat buah motor servo sebagai penggerak lengan serta motor DC gearbox untuk menggerakkan conveyor pemindah barang. Makalah ini mengambarkan metode pelaksanaan yang dilakukan robot lengan dengan waktu yang telah diatur dari awal sampai akhir pemindahan barang. Metode pelaksanaan yang dijalankan adalah pembuatan kode program yang diatur sesuai dengan waktu penggunaan dan kode posisi pada pemrograman yang dilaksanakan pada Arduino

    Dampak Nilai Pelanggan dan Relationship Marketing dalam Membangun Kepuasan Pelanggan melalui Citra Merek sebagai Variabel Intervening

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    Penelitian ini bertujuan untuk mengetahui seberapa besar Pengaruh Nilai Pelanggan dan Relationship Marketing dalam membangun Kepuasan Pelanggan melalui Citra Merek sebagai variabel interverning keripik balado bintang jaya 4 x 7 Padang.Metode yang digunakan adalah Structur Equation Modeling (SEM) dengan Partial Least Square (PLS).Dengan mengedarkan kuesioner sebanyak 85 responden. Hasil analisis datamenimpulkan, terdapat pengaruh positif yang signifikan antara variabel.nilai pelanggan terhadap variabel citra merek. Terdapat pengaruh positif dan signifikan variabel relationship antara variabel  citra merek. Terdapat pengaruh positif dan signifikan variabel relationship marketing terhadap variabel kepuasan pelanggan.sedangkan variabel nilai pelanggan tidak berpengaruh positif dan signifikan terhadap variabel kepuasan pelanggan. Terdapat pengaruh positif dan signifikan variabel nilai pelanggan terhadap variabel kepuasan pelanggan melalui variabel citra merek.Terdapat pengaruh positif dan signifikan variabel relationship marketing terhadap variabel kepuasan pelanggan melalui variabel citra merek
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