Judul: Pendugaan Parameter Model Dinamik dengan Metode Robust Median Absolute Deviation (MAD)
Abstrak: Given a data set in a dynamical model with unknown parameter values, the most commonly used method for parameter estimation is the least square method. However, this method is very sensitive to outliers. Because of this, a robust method to handle outliers is used. There are several robust methods such as Least Absolute Deviation method and Median Absolute Deviation method. When the number of outliers is relatively small, the result of parameter estimation using Least Absolute Deviation method and Median Absolute Deviation method are relatively similar. However, when the number of outliers is relatively large, the Median Absolute Deviation method is the most robust method to outliers. The dynamical models used in this manuscript are logistic and SEI (Susceptible, Exposed, and Infectious) models with hypothetical data. The accuracy of parameter estimation was measured by the value of Mean Absolute Percentage Error (MAPE).
Keyword: Bogor Agricultural University (IPB), robust, outliers, Median Absolute Deviation, Least Square, Least Absolute Deviation

Judul: Pendugaan parameter model dinamik dengan metode Median Absolute Deviation (MAD) dan Huber M-Estimation
Abstrak: Parameter estimation is commonly applied to regression models. However, the estimation of the dynamic models have not been developed. Least Square Method is the most common method used in parameter estimation. However, this method is not appropriate to be used if data contains some outliers. Robust method is a method that can overcome the weakness of the Least Square method. Median Absolute Deviation and M-Estimation are some suitable methods used when the data contains outliers and far outliers. Both of these robust methods are quite good in parameter estimation for the data with or without outliers. Based on Symmetrical Mean Absolute Percentage Error (SMAPE) and boxplot, MEstimation method has better accuracy in parameter estimation than the Median Absolute Deviation method. In this manuscript, parameter estimation is applied to Gompertz and SZR (Susceptible, Zombie, Removed) model using hypothetical data.
Keyword: Bogor Agricultural University, robust, outliers, Median Absolute Deviation, Median Absolute Deviation, M-Estimation, Least Square, Huber, far outliers

Judul: Akupuntur pada Kasus Konstipasi Kucing Persia.
Abstrak: Seekor kucing betina ras persia bernama Lucy telah mengalami konstipasi yang berulang kali sehingga terjadi kronis. Terapi akupuntur digunakan sebagai pengobatan alternatif dalam studi kasus ini dengan tujuan meningkatkan motilitas gastrointestinal. Studi kasus ini bertujuan untuk mengetahui efek akupuntur pada kasus konstipasi di kucing Lucy. Terapi akupuntur dilakukan dengan menggunakan dry neddle pada titik BL-21, BL-25, CV-4, CV-6, CV-12, GV-1, ST-25, dan ST-36. Terapi dilaksanakan selama 15 menit setiap terapi dan dilakukan seminggu 3 kali sampai terjadi perkembangan persembuhan. Berdasarkan hasil pemeriksaan fisik dan pemeriksaan penunjang radiografi, terdapat penumpukan feses yang banyak dari kolon hingga rektum. Kucing dapat defekasi dengan lancar setelah terapi ke-3 dan kondisi kucing yang awalnya buruk semakin membaik.
Keyword: akupuntur, dry needle akupuntur, konstipasi, motilitas gastrointestinal