Judul: Analysis and Design of Mobile Application for Bottling Machine Maintenance Based on Association Rule Mining
Abstrak: Salah satu permasalahan dalam penerapan Total Quality Management (TQM) dan Six Sigma adalah panjangnya respon managerial dalam merespon kondisi yang ada dilapangan. Penelitian ini bertujuan untuk membantu perusahaan melakukan tindakan pengambilan keputusan berdasarkan kondisi yang ada guna mewujudkan perbaikan yang terarah serta lebih cepat. Penelitian ini menggabungkan metode perhitungan total defect, Sigma Value pada six sigma, dan perhitungan OEE untuk penentuan keputusan yang diambil oleh perusahaan. Kondisi tersebut kemudian diolah dengan Association Rule Mining (ARM). Penggunaan ARM bertujuan untuk membuat aturan yang menunjukkan asosiasi antara parameter Sigma Value dan juga OEE dengan tindakan keputusan yang dilakukan perusahaan. Hasil perhitungan Sigma Value untuk Lini Produksi PET menunjukkan Sigma Value sebesar 4.29 dan hasil perhitungan OEE untuk availability, performance dan quality sebesar 86%, 54% dan 98% dengan total nilai OEE sebesar 46%. Rule yang terbaik didapatkan dari minimal nilai support, confidence, bond sebesar 0.3, 0.35 dan 0.5. Rule didapatkan dari 3 set combination dengan hasil 32 rules terbaik dari total 13.777 rule. Design penentuan rule tersebut diaplikasikan dalam aplikasi berbasis android untuk mempercepat proses pengambilan keputusan.
Keyword: Association Rule Mining, Management y Improvement, Overall Equipment Effectiveness, Six sigma

Judul: An Analysis and Design of Predictive Maintenance System Using Association Rule Mining in Moulding Machine PT X
Abstrak: One of the challenges in the implementation of Total Productive Maintenance (TPM) in the manufacturing industry is a slow managerial decision-making to respond the condition in the factory. This research investigates the answers of these challenges by analyzing and modeling the equipment condition and the response of actions required in a wooden door manufacturing industry. TPM implementation in this company has deployed the Overall Equipment Effectiveness (OEE) measurement as an indicator of the equipment @tilization and condition. Through an analysis and modeling of the OEE value obtained from the factory, the formulation of Association Rule Mining (ARM) aims to find a rule that shows the well computed relationship between measurable indicators of OEE with the response of action required to take in certain condition of machine utilization. Results obtained from ARM accelerate the decision to establish an appropriate TPM management Strategy based on the rules. The generated dynamic rules form and facilitate the process of decision-making by related stakeholders. Furthermore, relying on these rules the action taken by the company induced to a higher reliable and increasing the effectiveness of response and efficiency of time and costs.
Keyword: Overall Equipment Effectivenss, Association Rule Mining, Data Mining, Total Productive Maintenance, Overall equipment effectiveness, Data mining, Total productive maintenance, Maintenance strategy

Judul: Posisi Filogenetik Kura-Kura Carettochelys Insculpta  (Reptillia: Testudinata)
Abstrak: Carettochelys insculpta is an endemic freshwater turtle of southern Papua and northern Australia. Phylogenetic position of this turtle is remain unresolved until now. Most of the research conducted show close relationships of C. insculpta and members of Trionychidae family. However, some of the research show distance between C. insculpta and members of Trionychidae family. This research is conducted to analyze phylogenetic relationship between C. insculpta and other members of Testudinata using 12S rRNA, 16S rRNA, and both gene as markers. DNA samples were obtained from three different organisms of C. insculpta. Two species used as outgroups were Alligator mississippiensis and Iguana iguana. Phylogenetic analysis was carried out using Neighbor-Joining method with Felsenstein 1981 (F81) modeltest. A polytomy tree of Testudinata was produced by using 12S rRNA gene. However, analysis using 16S rRNA and both genes as markers confirmed that C. insculpta was located between the Chelonidae and the Trionychidae family.
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