Judul: Faktor-faktor yang Berhubungan dengan Kepadatan Mineral Tulang pada Wanita Pascamenopause
Abstrak: Bone mineral density is important parameter to measure osteoporosis status. Low bone mineral density means more risk of having osteoporosis. Poor combination of dietary intake and lifestyle in postmenopausal women would increase the rate of bone loss. The main objective of this research was to learn factors that related to bone mineral density in postmenopausal women. This was a cross sectional study from 60 patients that have examined their bone status using dual-energy X-ray absorptiometry (DEXA)in 2004. Bone mineral density value, dietary intake using semi quantitative FFQ (Food Frequency Questionnaire), demographic and socioeconomic data were collected in this study . Statistical analysis used in this study was descriptive analysis. T-test. Pearson correlation test and stepwise multiple linear regression for all independent variable with bone density using SPSS version 11.5
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Judul: Hubungan faktor reproduksi, asupan zat gizi dan aktivitas fisik dengan komposisi tubuh wanita pekerja berdasarkan status menopause
Abstrak: The purpose of this study was to examine the association of reproductive factors, nutrient intakes and physical activities with body composition of women worker in Bogor. This study used a cross-sectional design with 69 women workers aged 45-55 years old at Bogor Agricultural University as study participants. Descriptive analysis showed that mean of age at menarche, average of menstrual cycle, and average length of period of study participants were categorized normal. Energy and protein adequacy level were categorized as deficit. Physical activities level were categorized light activity with nutritional status were categorized obese. Almost participants had a high percentage body fat, central obesity, and android body shape. Correlation test showed that age (p=0.065) and the use of hormonal contraception (p=0.054) were positively associated with percentage body fat, meanwhile energy adequacy level (p=0.000), and protein adequacy level (p=0.000) were inversely related to percentage body fat. It might be conclude that age had more influence in increasing body fat, particularly in abdominal area, than menopausal status, nutrition intakes and physical activities in middle-aged women.
Keyword: Bogor Agricultural University (IPB), reproductive factors, physical activity, nutrition intake, body composition, adult women

Judul: Implementasi Algoritme Ant Colony Optimization pada Swarm UAV Crazyflie untuk Menyelesaikan Masalah Multiple Travelling Salesman Problem
Abstrak: Penggunaan teknologi swarm robotics saat ini semakin berkembang, salah satunya adalah penggunaan swarm UAV. Salah satu permasalahan yang kerap muncul adalah Multiple Travelling Salesman Problem (MTSP), yakni suatu masalah pencarian rute pada sejumlah swarm UAV yang terlibat untuk mengunjungi sejumlah target tertentu tepat satu kali dan kembali ke posisi awal dengan biaya perjalanan minimum. Ant Colony Optimization (ACO) merupakan salah satu pendekatan yang dapat digunakan untuk menyelesaikan permasalahan MTSP, namun belum banyak penelitian yang mengimplementasikan algoritme ACO pada swarm UAV di lingkungan nyata. Penelitian ini bertujuan untuk mengimplementasikan algoritme ACO pada swarm UAV berjenis Crazyflie untuk menyelesaikan masalah MTSP. Pergerakan swarm UAV akan disimulasikan pada simulator Crazyswarm, lalu diimplementasikan secara real menggunakan Crazyflie. Hasil penelitian yang dilakukan menunjukkan bahwa algoritme ACO yang diimplementasikan pada Crazyflie telah berhasil mengunjungi target-target yang diharapkan dengan meminimumkan jarak tempuh. Selain itu, hasil penelitian juga menunjukkan error posisi antara hasil simulasi dan hasil aktual yang cukup rendah, yakni kurang dari 5 cm secara rata-rata pada setiap sumbu koordinat x, y, dan z., The use of swarm robotics technology is currently growing and one of them is the use of UAV swarm. One of the problems that often arises is the Multiple Traveling Salesman Problem (MTSP), which is a route-finding problem for a number of UAV swarms involved to visit a certain number of targets exactly once and return to the initial position with minimum travel costs. Ant Colony Optimization (ACO) is one approach that can be employed to solve MTSP problems, but not many studies have implemented the ACO algorithm on UAV swarms in the real environment. This study aims to implement the ACO algorithm on the Crazyflie type UAV swarm to solve the MTSP problem. The movement of the UAV swarm will be simulated on the Crazyswarm simulator, then implemented in real-time using Crazyflie. The result of our study showed that the ACO algorithm implemented on Crazyflie has succeeded in visiting the expected targets by minimizing the distance. Simulation results also showed that we obtain a relatively low error between the simulation results and the actual results, which is less than 5 cm on average on each x, y, and z coordinates.
Keyword: Swarm UAV, Crazyflie, ACO Algorithm, MTSP