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Bin Raudha Hanoeboen
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Humanities Economics, Econometrics & Finance Social Sciences

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PEMETAAN POTENSI OBJEK WISATA DI PULAU AMBON (PENDEKATAN SWOT DAN IFAS EFAS) Bin Raudha Hanoeboen
Jurnal Cita Ekonomika Vol 11 No 2 (2017): Cita Ekonomika: Jurnal Ilmu Ekonomi
Publisher : Jurusan Ekonomi Pembangunan, FEB Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51125/citaekonomika.v11i2.2117

Abstract

The research was conducted at Namalatu Beach, Hunimua Beach and Natsepa Beach. This study aims to map the tourism potential on Ambon Island. The data used in this study are secondary data from Time Series data from 2013 to 2015 obtained from the Maluku Provincial Tourism Office and the Central Bureau of Statistics of Maluku Province and primary data processed. The Internal Factor Evalution Matrix (IFE) is used to analyze the factors in the form of strengths and weaknesses possessed. Internal factor data is sought to analyze matters relating to several functional tourism objects. The preparation of IFAS and EFAS tables is carried out by giving a weight of 0.20 or 20% (Strong and high), 0.15 or 15% (Above average), 0.10 or 10% (Average), 0.05 or 5% (below average). And 0.00 or 0% (unaffected) with a rating scale starting from 1 (poor) to 4 (Outstanding) based on the influence of these factors Namalatu Beach Attractions, Hunimua Beach, Natsepa Beach and World Peace Gongs are then multiplied and added to get total scores from IFAS and EFAS tables. The process of weighting and granting IFAS and EFAS table ratings is based on answers to questionnaires, interviews with related parties and research observations.
ANALISIS PENGARUH HARGA MINYAK DUNIA, NILAI TUKAR RUPIAH, INFLASI DAN SUKU BUNGA SBI TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) Bin Raudha Hanoeboen
Jurnal Cita Ekonomika Vol 11 No 1 (2017): Cita Ekonomika: Jurnal Ilmu Ekonomi
Publisher : Jurusan Ekonomi Pembangunan, FEB Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51125/citaekonomika.v11i1.2630

Abstract

The research was conducted with the aim to know and test the influence of world oil price, rupiah exchange rate, inflation and SBI interest rate to Composite Stock Price Index (IHSG). This study uses secondary data obtained from Indonesia Stock Exchange (IDX), Bank of Indonesia (BI) and Central Bureau of Statistics (BPS) from January 2011 to December 2014. In this study method of data analysis used is descriptive and satatistic analysis. The results showed that world oil prices have a negative effect on IHSG with coefficient value of 0.086. the variable of exchange rate have positive and significant effect to dependent variable of IHSG, Inflation variable has negative effect to IHSG with coefficient value equal to 0,073, and SBI variable has negative effect to IHSG with coefficient value 0, 084.
THE EFFECT OF INFLATION AND ECONOMIC STRUCTURE CHANGES ON FARMER EXCHANGE VALUE (NTP) IN EASTERN INDONESIA Maria Katje Tupamahu; Bin Raudha Hanoeboen; Jacobus Cliff Diky Rijoly
Jurnal Cita Ekonomika Vol 15 No 1 (2021): Cita Ekonomika: Jurnal Ilmu Ekonomi
Publisher : Jurusan Ekonomi Pembangunan, FEB Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51125/citaekonomika.v15i1.3491

Abstract

Recently, the relationship between farmer exchange rates and the variables that influence them still leaves debate and various empirical findings. In general, this study aims to 1) analyze inflation's effect on farmers' exchange rates in Eastern Indonesia. 2) Analyze the effect of changes in the agricultural sector's economic structure on the exchange rate of farmers in Eastern Indonesia. 3) Analyze the effect of farmer exchange rates in the previous year on farmer exchange rates in Eastern Indonesia. 4) Analyze the simultaneous effect of the inflation rate, changes in the economic structure, and the previous farmer exchange rate on farmers' exchange rate in Eastern Indonesia. The analysis method used is descriptive qualitative and quantitative analysis. The quantitative analysis tool used is the Panel Data regression model. The data used is panel data from 12 provinces in Eastern Indonesia for the period 2010-2018. There are several approaches to estimating the panel data regression model, so it is necessary to carry out statistical tests to get the best and efficient regression parameters (BLUE, Best Linear Unbiased Regression). In this study, the panel data estimation technique selected based on the Chow test, LM test, and Hausman test is the Random Effect Model. The results showed that changes in the agricultural sector structure and the lag of the farmer exchange rate were found to have a positive and significant effect on the exchange rate of farmers, while the inflation rate had a negative and significant effect on the exchange rate of farmers. In the end, local governments have a significant role in improving the agricultural sector's development, leading to increased welfare of farmers. Therefore, the existence of political will that sided with farmers is an essential factor in changing the agricultural sector's welfare.
Co-Authors Jacobus Cliff Diky Rijoly Tupamahu, Maria K.