Pengaruh Sistem Pengendalian Manajemen Terhadap Kinerja Pegawai

Penelitian ini bertujuan untuk mengetahui dan memperoleh data apakah sudah diterapkan sistem pengendalian manajemen dan memperoleh data capaian kinerja pegawai serta seberapa besar pengaruh sistem pengendalian manajemen terhadap kinerja pegawai pada LPP RRI Gunungsitoli. Sampel dalam penelitian ini di ambil seluruh jumlah populasi sebanyak 39 orang. Metode yang dipergunakan dalam penelitian ini adalah metode penelitian kuantitatif (Inferest), di mana data yang dikumpulkan di verifikasi, validasi, reliabilitas dan diuji hipotesisnya dengan menggunakan uji t. Pengolahan data distribusi t dengan dk = 37 dan taraf signifikan 5% diperoleh ttabel =1.687. Dengan demikian bahwa thitung > ttabel (6.384 >1.687), dengan koefisien korelasi sebesar 0,724. Hasil yang didapatkan dengan melakukan pengujian koefisien determinasi sebesar 51% pengaruh sistem pengendalian manajemen terhadap kinerja, sedangkan faktor-faktor lain yang tidak di bahas dalam penelitian ini sebesar 48%. Berdasarkan hasil pengujian hipotesis Ha di terima dan H0 di tolak, menunjukkan bahwa thitung>ttabel (6.384>1.687), sehingga dapat dikatakan ada pengaruh sistem pengendalian manajemen terhadap kinerja pegawai LPP RRI Gunungsitoli.

Fault Tolerant Framework Development Using Agent Based Approaches for Manufacturing Process

Disruptions in manufacturing processes can cause severe impacts on process efficiency and down time that adversely affect production costs. These anomalies/disruptions, in any automated process, have negative impacts on consumer centric values, high rejection of raw materials and overall cost. Mostly the effects of disruptions are propagated and cascaded in the whole assembly line by blockage and starvation caused by disruptive workstation. The accurate analysis of the aftermath of each disruption is the key to proper allocation of resources and downtime mitigation. Process down time can be reduced by monitoring manufacturing processes for faults, categorizing those faults and prioritizing actions. Disruption handling has been the aim of many researchers of the past decade. Many of these techniques have been fruitful in many aspects, nevertheless these techniques are based on a static mathematical models and pre-defined manner. This practice does not consider the process dynamically based on process status and sometimes becomes the source of false alarms, batch rejection, increase in the overall cost decrease in process efficiency. The issues relating disruptions and their solutions has been the primary aim of the presented work. Four subsequent models have been developed pertaining to disruptions. The first model in this scenario is Agent Based Fault Tolerant Framework. This model dynamically evaluates disruptions based on the process weightage. Human immune system presents an astounding grounds and example for developing Artificial Immune system, wherein the disruptions caused by viruses and bacteria is addressed by deploying B and T cells, which either destroys the pathogen (virus or bacteria) by killing it (Phagocytosis) or renders it harmless. Inspired from that, a second model analogous to Human Immune System is developed for industrial applications, to deal with disruptions. Flexibility in the Alarm Trip Point (ATP) is yet another fascinating technique that introduces flexibility in the defined ATP based on the statuses of adjacent workstations. The implementation of this model shows promising results. Finally, an augmented model has been developed which combines first and second model to overcome some of the limitations of previous models and is implemented on a test rig. This model presented outstanding results in comparison to the established approaches.