Peningkatan Keterampilan Mengidentifikasi Variabel Dan Mendeskripsikan Hubungan Antar Variabel Melalui Model Learning Cycle 3e

The aimed of research was to describe the increase of students’ skill in identify variables and describe the correlational between  variables on Learning Cycle 3E (LC 3E) model. Quasi-Experimental method was used in this research, with Non Equivalent (Pretest-Postest) Control Group Design. The population of this research was students of XI IPA SMA N 1 Way Jepara, Lampung Timur, with XI scince 2 and XI scince 3 class as sample. The increase of students’ skill in identify variables and describe the correlational between  variables measured with the difference of a significant normalized gain (n-Gain). The results show that mean value of n-Gain identify variables skill in control and experimental classes were 0.19 and 0.34, and the mean value of n-Gain describe the correlational between variables skill in control and experimental classes were 0.07 and 0,32. Based on data analysis which used t-test and n-Gain, it was concluded that the LC 3E learning model can increasing students’ skill in identify variables and describe the correlational between  variables. Penelitian ini bertujuan mendeskripsikan peningkatan keterampilan mengidentifikasi variabel dan mendes­kripsikan hubungan antar variabel melalui learning cycle 3 phase (LC 3E). Penelitian ini merupakan kuasi eksperimen dengan Non Equivalent (Pretest-Postest) Control Group Design. Populasi penelitian ini adalah siswa kelas XI IPA SMA Negeri 1 Way Jepara, Lampung Timur, dengan kelas XI IPA 2 dan XI IPA 3 sebagai sampel. Peningkatan keterampilan mengidentifikasi dan mendeskripsikan hubungan antar variabel diukur dengan perbedaan gain yang ternormalisai (n-Gain) yang signifikan. Hasil penelitian menunjuk­kan rerata n-Gain keterampilan mengidentifikasi variabel kelas kontrol dan eksperi­men masing-masing 0,19 dan 0,34; dan rerata n-Gain keterampilan mendes­kripsi­kan hubungan antar variabel untuk kelas kontrol dan eksperimen masing-masing 0,07 dan 0,32. Berdasarkan pengujian hipotesis menggunakan uji-t dan n-Gain, disimpulkan bahwa model learning cycle 3E dapat mening­katkan keteram­pilan mengidentifikasi variabel dan mendeskripsikan hubungan antar variabel siswa

THE CONCEPTUAL FRAMEWORK OF DEVELOPMENT NEEDS PREDICTION MODEL FOR AID GOODS OF EARTHQUAKE RELIEF

-Humanitarian supply chain management has attracted research attention in the recent years. In this paper, we investigate the literature to mapping and identify potential research directions in humanitarian logistics planning for disaster management, and provide a starting point for interested researchers. This paper will serve as a guide to researchers who would like to know how disasters, logistics of emergency response and how to predict aid goods should be prepared for disaster relief. The purpose of this paper is not only review the literature to describe the current practices and research trends in logistics of emergency response but also provides the conceptual framework of development needs prediction model for aid goods of earthquake relief.

DISASTER LOGISTICS: HOW TO ESTIMATE THE EMERGENCY GOODS TO SUPPORT EARTHQUAKE RELIEF OPERATIONS

-Disaster logistics, or humanitarian supply chain management, has attracted research attention in recent years. This paper develops an estimation model to estimate the types and quantities of emergency goods necessary to support earthquake relief operations. It is crucial that the buffer stock for earthquake relief be well defined and ready to deliver to disaster areas when an earthquake occurs. This paper therefore serves as a guide to disaster logistics, especially how to estimate the emergency goods needed for earthquake relief operations. It not only reviews the literature to describe current practices and research trends in disaster logistics but also provides a model framework to estimate the emergency goods necessary in this regard.

System Dynamics as a Structural Theory in Operations Management

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