Rescue Strategy Concept for a Company in a Weakening Market

PT ABC is a company located in Puncak Region West Java. Its main business is providing outdoor training activity, or known as outbound. To support its business, it is also facilitated with accommodation facility. Since the beginning of its business, a proper management principle is not being used properly by this company, therefore there's an indication that this company will go to a bankruptcy. This paper is going to discuss about the alternatives to rescue this company from bankruptcy. Using the Altman's z score prediction model, this paper will try to find out the real condition of this company toward bankruptcy. After that four alternatives of rescue strategy will be analyzed. These strategies are the strategies that hopefully will rescue this company from bankruptcy. The alternatives are refinancing, diversification of business, reorientation of business, or sell the company. Capital budgeting techniques, like NPV, IRR, PBP, etc will be used to analyze it. After that, decision tree will be used to pick the most promising alternative

Kajian Awal Fitoremediasi Merkuri Pada Caulerpa serrulata dan Halimeda macroloba dari Perairan Teluk Totok

Penelitian ini dilakukan dengan tujuan untuk mengetahui kemampuan alga spesies Caulerpa serrulata dan Halimeda macroloba sebagai agen fitoremediator merkuri di perairan laut. Analisis merkuri pada sedimen dan jaringan alga berdasarkan metode standar United State Environmental Protection Agency (USEPA) yang dilakukan di Water Laboratory Nusantara (WLN) dengan menggunakan Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) instrument. Hasil penelitian memperlihatkan bahwa Caulerpa serrulata mampu mengabsorbsi merkuri sebanyak 0,20 ppm dan Halimeda macroloba mampu mengabsorbsi sebanyak 0,11 ppm dari perairan Teluk Totok. Selain itu kemampuan Caulerpa serrulata dan Halimeda macroloba mentoleransi kadar merkuri yang tinggi di sedimen tempat alga tersebut tumbuh bisa menjadi pertimbangan bahwa alga tersebut memiliki potensi untuk dapat digunakan sebagai salah satu organisme fitoremediaotor merkuri di perairan laut

The Application of Agribusiness Fisheries System on Unit Pembenihan Rakyat (Upr) in Regency Simalungun North Sumatra Province

This research was conducted on December 9 -19 December 2015, in the Unit Pembenihan Rakyat (UPR), which took place in the Simalungun's District. The purpose of this study was to see the implementation of agribusiness system in the UPR and analyze the UPR business simple. The method used in this study was a survey method which analyze primary data that have been obtained in the field. Determining respondents taken by purposive sampling.Based on research that has been conducted in the UPR, the result that the number of UPR of the 2010-2014 decline. This is due to the population still focused on agriculture and do a hatchery operations as a sideline. However, UPR is still running has increased quite good. Improvements have been achieved in the form of an increased extent, the amount of production is increasing every year as well as the volume of marketing that continues to grow. However, the UPR still face difficulties in business operations. The problems experienced by the UPR are buyer didn't do payment at same time when they buy seeds, life insurance seeds get longer, forming a group that just to get government assistance and financial administration not to get structured

Kondisi Tata Air Sungai dalam Pengelolaan Daerah Aliran Sungai di Sub DAS Rokan Kiri

Watersheds management can be evaluated by the criteria of its preservation. The main criteria of watershed`s preservation is the environment goodness which lies on land use, water system, social, economy, and institutions. The criteria of stream system can be scored from several indicators, such as : stream`s regim coefficient, coefficient of variation, water utilization index, and runoff coefficient. This research aimed to find out the classification result from the reviewed parameters on Rokan Kiri Sub Watershed based on rules by Peraturan Direktur Jenderal Rehabilitasi Lahan dan Perhutanan Sosial No. P.04/V-SET/2009. On this research, it has been done the analysis steps and the computation about stream system`s criteria by stream`s discharge indicators. The result of this research has shown that stream system`s condition with indicator of stream`s regim coefficient valued 223,92 which placed on low class, indicator of variation coefficient valued 0,73 which placed on low class, indicator of water usement index scored 0,0035 which placed on well class, and coefficient runoff valued 0,27 which placed on medium class

Correlation between Hypertension and Lipid Profile in Patients with Type 2 Diabetes Mellitus at Pirngadi Hospital, Medan, North Sumatera

Background: Dyslipidemia, hypertension, and type 2 Diabetes Mellitus (type 2-DM) have been identified as early predictors of cardiovascular disease. Hypertension is a common disease in patients with type 2-DM. Dyslipidemia is a major risk factor for atherosclerosis. Type 2-DM and hypertension are risk factors for atherosclerotic lesions associated with dyslipidemia. Hypertension is associated with blood lipid disorders in many ways and contributes to the overall risk of cardiovascular disease. This study aimed to determine the correlation between hypertension and lipid profile in patients with type 2-DM at Pirngadi hospital, Medan, North Sumatera. Subjects and Method: This was an analytic observational study with a cross-sectional design conducted at endocrinology polyclinic Pirngadi Hospital, Medan, North Sumatera, from December 2017 to January 2018. A sample of 15 hypertension patients was selected for this study. The dependent variable was lipid profile. The independent variables were systolic and diastolic blood pressures. Lipid profile was measured by blood serum examination. The data were analyzed by Pearson correlation. Results: Systolic blood pressure (SBP) increased with total cholesterol level (r= 0.33; p=0.233), LDL level (r= 0.25; p=0.377), HDL level (r= 0.40; p=0.137). Systolic blood pressure was not associated with triglyceride level (r= 0.02; p=0.936). Diastolic blood pressure increased with total cholesterol level (r= 0.40; p=0.143), LDL level (r= 0.15; p= 0.589), HDL level (r=0.27; p= 0.326), and triglyceride level (r= 0.37; p= 0.174). Conclusion: This study concludes that there is a relationship between hypertension and lipid profile in patients with type 2 Diabetes Mellitus, but not statistically significant. There is a need to conduct a further study with a larger sample. Keywords: type 2 diabetes mellitus, blood pressure, lipid profil

Correlation between Obesity and Lipid Profile in Patients with Type 2 Diabetes Mellitus at Pirngadi Hospital, Medan, North Sumatera

Background: Obesity is a condition that is associated with having an excess of body fat, defined by genetic and environmental factors that are difficult to control when dieting.Obesity may cause serious diseases such as dyslipidemia, stroke, and coronary heart disease. Changes in lipid profile in patients with type 2 diabetes mellitus (type 2 DM) include increased total cholesterol, low-density lipoprotein (LDL), and triglyceride, and decreased levels of high-density lipoprotein (HDL). This study aimed to determine the correlation between obesity and lipid profile in patients with type 2 DM. Subjects and Method: This was an analytic observational study with a cross-sectional design.The study was conducted at the Endocrinology and Metabolic Polyclinic, Pirngadi Hospital, Medan, North Sumatera, from December to January 2018. A sample of 15 type 2 DM patients with obesity was selected for this study. The independent variable was obesity. The dependent variable was lipid profile which included total cholesterol, HDL, LDL, and triglyceride. Obesity was measured in body mass index (kg body weight/ m2 body height). Lipid profile was measured by blood serum examination. The data were analyzed by Pearson correlation. Results: Obesity was positively correlated with blood glucose level (r= 0.46; p= 0.082), and it was marginally significant. Obesity was positively correlated with total cholesterol (r= 0.21; p= 0.455), and LDL (r= 0.34; p=0.222), but statistically non-significant. Obesity was negatively correlated with HDL (r= -0.07; p= 0.798) and triglyceride (r=-0.03; p=0.930), but statistically non-significant. Conclusion: Obesity positively correlates with blood glucose level but its correlation with lipid profile is not reliable

Correlation between Hba1c and Lipid Profile in Patients with Type 2 Diabetes Mellitus at Pirngadi Hospital, Medan, North Sumatera

Background: Diabetes Mellitus (type 2 DM) is now ranked first in health problems. The Diabetes Control and Complication Trial (DCCT) study showed that lowering HbA1c rates may delay or prevent chronic complications. One of the risk factors for CHD in type 2 DM is dyslipidemia, i.e lipid metabolism disorders in the form of elevated total cholesterol, triglyceride (TG), low-density lipoprotein (LDL), and decreased levels of high-density lipoprotein (HDL). Description of dyslipidemia in type 2 DM most frequently found is an increase in TG levels and decreased HDL levels. Research showed hyperglycemic conditions have an effect on the condition of blood vessels. This study aimed to determine the correlation between HBA1C and lipid profile in patients with type 2 DM. Subjects and Method: This was an analytic observational study with a cross-sectional design. The study was conducted at the Endocrinology and Metabolic polyclinic Pirngadi Hospital, Medan, North Sumatera, from January to February 2018. A total sample of 10 type 2 diabetes mellitus was selected for this study. The independent variables were lipid profile including total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), and trygliceride. The dependent variable was HbA1c level. Lipid profile was measured by blood serum examination. The data of type 2 diabetes mellitus were taken from medical record. HbA1c level was measured by blood examination. The data were analyzed by Pearson correlation. Results: HbA1c was positively correlated with blood sugar levels and was statistically significant (r= 0.12; p= 0.005). HbA1c correlated weakly and was statistically insignificant with total cholesterol (r= 0.14, p= 0.702), LDL (r= 0.15; p= 0.683), HDL (r= 0.04; p= 0.922), and triglycerides (r= 0.06; p= 0.860). Conclusion: HbA1c correlates with blood sugar levels but does not show correlation with lipid profiles