Puspita, Bella
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STUDI DESKRIPTIF KEPEMIMPINAN TRANSFORMASIONAL PADA PT. INDJA MAS MURNI Puspita, Bella
Agora Vol 4, No 2 (2016): Agora, Jurnal Mahasiswa Manajemen Bisnis
Publisher : Agora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.14 KB)

Abstract

Penelitian ini dimaksudkan untuk mendeskripsikan kepemimpinan transformasional pada PT. Indja Mas Murni. Jenis penelitian ini adalah kualitatif deskriptif. Teknik peng­um­pul­an data dilakukan dengan cara wawancara dan observasi. Uji keabsahan data peneliti menggunakan tria­ng­u­lasi dengan mem­bandingkan hasil wawancara dengan data ter­kait dan observasi. Hasil penelitian menunjukkan bahwa pe­mi­m­pin PT. Indja Mas Murni memiliki dan menjalankan empat ka­rak­teristik ke­pem­im­pin­an transformasional seperti idealized in­flu­ence, inspirational mo­tivation, intellectual stimulation, dan in­di­vi­dualized consider­a­tion di dalam perusahaannya. Namun untuk karakteristik in­di­vi­du­alized consideration berupa pemberian we­we­nang pada karya­wan masih belum menyeluruh serta pemim­pin tidak mem­be­­ri­kan pelatihan kepada karyawan produksi.
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm Astuti, Tri; Puspita, Bella
IJIIS: International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.4

Abstract

UD Dian Pertiwi is one of the small and medium enterprises engaged in materials with the main product is building materials. This business experiences large amounts of transactions every day, the data obtained becomes increasingly large, and it will only be limited to a pile of useless data or commonly called junk. By utilizing a data mining approach apriori algorithm technique, the data can be utilized to support the sales process and achieve a target of UD Dian Pertiwi. Based on research and data mining that has been done using association analysis and apriori algorithms by applying a minimum of support = 1% and a minimum of confidence = 70% resulted in the ten strongest association rules can be used by UD Dian Pertiwi in the process of applying a sales strategy including determining interrelationships, in short, the product has the potential to be purchased at the same time, increasing the amount of product stock and conducting promotions.