Universitas Hasanuddin: e-Journals
Not a member yet
10100 research outputs found
Sort by
Waves of Bugis Migration to the Mahakam Delta: Livelihood Trajectories and Landscape Changes along the Rural Coastlines of East Kalimantan
Get PDFThis article describes an often overlooked dimension of land use change, namely the extent to which migration affects livelihoods and landscapes in destination areas. We concentrate on the long history of migration of Bugis from South Sulawesi province to the Mahakam Delta on the east coast of Kalimantan, which has taken place over hundreds of years. To understand this migration pattern, we first delve into the dynamics of Bugis mobility across the Sulawesi Strait by examining the push and pull factors that reshape the Mahakam Delta. We then examine the livelihood trajectories of the migrants, their political economic contexts in their sites of origins and destination areas, as well as the ways these dynamics result in social and ecological change. We categorized Bugis migration to the Mahakam Delta during the 20th and early 21st century as taking place in three different waves. Violence and security were the main push factors for migration, namely fleeing the chaos of civil war during the colonial and post independence periods. Along the way households sought out employment and access to arable land. Meanwhile, the pull factor involved abundant livelihood sources and relatively safe conditions in the Mahakam Delta. Working as farmers and fishermen during the earlier periods, migrants’ livelihoods changed significantly in the 1980s with the arrival of international shrimp companies stimulating decades of conversion of the Delta’s mangrove forest ecosystems. The financial crisis in the late 1990s that sparked the initial shrimp boom intensified the conversion, which also included turning migrant agricultural lands into ponds. The global commodity chains integrated the migrants into capitalist relations controlled by a few money lenders and pond owners, turning migrants into patrons in the form of pond workers. The few studies that discuss the relationship between migrants\u27 livelihoods and landscape change generally address rural-to-urban out-migration. This study shows specifically that rural to rural migration can have significant effects on livelihoods and landscape in the migration destination areas
PENGARUH Lactobacillus lactis PADA PEMBUATAN MENTEGA DARI LEMAK WHEY DANGKE DENGAN SUHU BERBEDA
No full textWhey merupakan hasil samping dari pembuatan keju, dangke, ataupun tahu susu. Mengingat whey mengandung sekitar 55% total nutrisi dari susu maka whey dangke dapat diolah menjadi berbagai produk salah satunya menjadi mentega. Mentega yang difermentasi dengan starter bakteri asam laktat (BAL) akan memiliki rasa yang lebih disukai dan khas dibandingkan dengan mentega biasa. Penelitian ini bertujuan menjelaskan pengaruh bakteri Lactobacillus lactis dan suhu pasteurisasi pada pembuatan mentega dari lemak dalam whey terhadap kualitas organoleptik mentega yaitu warna, aroma, dan tekstur. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) pola faktorial 2x4 dengan 3 kali ulangan. Faktor A adalah level penambahan bakteri (0,5%, 1%, 1,5% dan 2%). Faktor B adalah suhu pasteurisasi 60°C dan 70°C. Penambahan bakteri dan suhu pasteurisasi memengaruhi warna, aroma, dan tekstur mentega secara signifikan. Kombinasi keduanya tidak menghasilkan perubahan organoleptik yang lebih nyata. Hasil Penelitian menunjukkan penambahan level konsentrasi bakteri dan suhu pasteurisasi dapat menurunkan warna kuning, menghasilkan aroma asam, dan tekstur lunak pada mentega yang dihasilkan
TRADISI RATIBAN DI DESA PANDANSARI : BENTUK SYUKUR KEPADA SANG PENCIPTA ATAS HASIL LIMPAHAN ALAM
Get PDFCulture in Indonesia is very diverse and is often found in Java, such as the traditional thanksgiving ceremony which is carried out to give thanks to the creator. In Pandansari Village, there is a ratiban ritual, which is a form of the community’s request to always be looked after and eliminate the difficulties they are experiencing as well as a form of gratitude to Allah for the abundance of nature. The objectives of this research are, 1) How is the Ratiban Tradition implemented in Pandansari Village ; 2) What is the background for implementing the Ratiban tradition ; 3) What is the meaning and function of holding the Ratiban tradition, as well as the impact on the local community. The benefit of this research is to find out how to preserve Ratiban and to know that Indonesia is rich in culture. The method used in this research is descriptive qualitative
Pharmaceutic Production of Microcrystalline Cellulose (MCC) as Tablet Excipient from Sugarcane Bagasse
No full textWaste from sugarcane ice milling in Langsa is abundant without processing, so it is necessary to think about its more useful utilization without causing environmental pollution. Sugarcane bagasse is one of the samples that is rich in cellulose, so it has the potential to be developed into cellulose microcrystals that can be used as a filling material in tablet making. The preparation of bagasse MCC was carried out in 2 (two) stages, namely the α-cellulose isolation stage (including delignification, swelling, and bleaching processes), and the second stage is the hydrolysis of α-cellulose using 2.5 N HCl solvent to obtain bagasse MCC. From the results of this study, the sugarcane bagasse MCC produced has physical characteristics in the form of hablur, white in color, odorless, and tasteless, has a moisture content of 3.78%, with a pH of 7, a permanganate content of 2.54% and a size of 33.843 μm. So it can be concluded that the sugarcane bagasse MCC produced has met the tablet excipient requirements as required by the Handbook of Pharmaceutical Excipients
Evaluation of NMF-VAE Integrative Approach for Biclustering and Glioblastoma Biomarker Identification
Get PDFGlioblastoma (GBM) represents the most aggressive primary brain tumor with poor prognosis. This research develops a novel computational framework that merges the strengths of Non-negative Matrix Factorization (NMF) with Variational Autoencoder (VAE) to improve biclustering performance in GBM gene expression data analysis. Using the GSE4290 dataset, this study analyzes gene expression data from 180 samples (136 tumors and 44 normal controls). The implementation of the NMF-VAE method successfully identified 10 biclusters with coherence values of 0.711 and variance of 0.713, validated through latent space visualization and reconstruction error analysis (15-50 MSE). Differential expression analysis identified three main potential biomarkers: ANXA2, TNFRSF1A, and NAMPT, which demonstrated significant expression changes (fold change 2.5, 2.0, and 3.0) and correlated with tumor cell proliferation, inflammation, and energy metabolism. Visualization of bicluster patterns and gene expression value distributions confirmed the consistency of these biomarkers overexpression in tumor samples. These findings provide new insights into the development of gene expression-based treatment strategies for GBM patient
Linearized Ridge Regression Modeling with MM-Estimator in Statistical Downscalling for Rainfall Forecasting
Get PDFRainfall is one of the important climate variables to be predicted because it affects various sectors, such as agriculture, health, and disasters. One method that can be used to forecast rainfall is statistical downscaling, which is the process of relating large-scale climate variables to local-scale climate variables. However, this method has several challenges, such as the presence of heteroscedasticity, multicollinearity, and outliers in the data. To overcome these challenges, this study proposes linearized ridge regression modelling with MM-estimator in statistical downscaling for rainfall forecasting. Linearized ridge regression is a linear regression method that can reduce the influence of multicollinearity by adding a penalty parameter to the covariance matrix. MM-estimator is a robust method that can handle outliers by using two estimators, namely the initial estimator (S-estimator) and the final estimator (M-estimator). This research uses daily rainfall data from BMKG Pangkep station and Global Circulation Model (GCM) output data as predictors. The results showed that linearized ridge regression modelling with MM-estimator has better performance than linearized ridge regression modelling without MM-estimator in terms of accuracy and resilience to outliers with a correlation value of 0.94 against the acute rainfall data, the Root Means Square Error value obtained is 97.26 and 86.57% of determinant coefisient value. Therefore, linearized ridge regression modelling with MM-estimator can be used as an alternative statistical downscaling method for rainfall forecasting. Based on the forecasting results for January - December 2023, it shows that the highest rainfall in Pangkep Regency is in January and the lowest rainfall is in September
Implementation of Singular Spectrum Analysis Method for Prediction of Average Sunshine Duration
Get PDFSolar irradiance is the process by which radiant energy from the sun reaches the earth. BMKG states that solar irradiance reaches 100% when the sun shines for 8 hours a day. Less than 8 hours of solar irradiance a day can affect local and global climate systems. This research aims to analyze and predict of average sunshine duration in Pasuruan with the Singular Spectrum Analysis (SSA) method. Based on the SSA model for optimal solar irradiation with and Grouping Effect , this study analyzes the prediction of average sunshine duration in Pasuruan which produces a Mean Absolute Percentage Error (MAPE) value of 19.53%. The results indicate that the predictions are effectively categorized for estimating the average solar irradiance. The highest average was in July at 60.1% and the lowest average was in November at 12.82%
The Fuzzy-Possibilistic Product Partition c-Means (FPPPCM) algorithm for Clustering the Welfare Levels of Regencies in East Java
Get PDFWelfare is a condition where society is free from deviant behavior, poverty, ignorance, and fear, thus allowing individuals to obtain a safe and peaceful life. East Java is among the provinces in Indonesia that recorded the highest incidence of poverty from 2013 to 2022; however, it has also demonstrated a consistent decline in the number of individuals living in poverty during this period. This study aims at applying the Fuzzy-Possibilistic Product Partition c-Means (FPPPCM), which combines the probabilistic approach of Fuzzy c-Means and the possibilistic approach of Possibilistic c-Means, and is effective in handling outliers, to clustering the welfare levels of regencies and cities in East Java. The exploration is based on the data of the Badan Pusat Statistik (BPS) for 2024. Based on clustering the welfare levels, the following are the end results of the study: Cluster 1 (low population, high education/life expectancy but low labor participation and high poverty line, i.e. Kediri City) may find aid in programs that work on the issues like job creation, affordable housing, and family planning outreach to reduce inequality. Cluster 2 (medium population, low education/expenditure but high labor participation/home ownership, i.e. Pacitan) could promote vocational training, poverty reduction through SME support, and give education to the workforce. Cluster 3 (high population, low life expectancy, medium indicators but high family planning, i.e. Lamongan) should focus on improvement of the healthcare infrastructure, the health of the mother and child, and creation of industrial jobs for the local peopl
Inflation Forecasting for Riau Province: A Comparison of Parametric ARIMA with Nonparametric Nadaraya-Watson Kernel Regression and B-Spline Methods
Get PDFForecasting inflation is crucial for assisting in the creation of sound economic strategies, particularly in key regions like Riau Province, one of the country\u27s hubs for the production of crude oil and palm oil. The economic peculiarities of Riau, which set it apart from other regions, lead to inflation patterns in this province that tend to deviate from the national average. Forecasting techniques are crucial for decision-making that promotes stability and overall regional economic planning. The parametric ARIMA method and the nonparametric Nadaraya-Watson Kernel Regression and B-Spline are used in this study to forecast inflation in Riau Province in 2025. While ARIMA is based on certain model assumptions, nonparametric methods are more flexible and can capture more complex patterns. The forecasting results using RMSE, ME, MAE, and MASE showed that the Nadaraya-Watson method performed the best out of the three methods tested. The forecasting results with Nadaraya-Watson Kernel Regression showed a stable decline in inflation, from 0.0464% in March to 0.0191% in August 2025
PENGARUH KONSENTRASI ASAM NITRAT SEBAGAI REAGEN DEKALSIFIKASI TERHADAP KUALITAS PEWARNAAN SAFRANIN O PADA TULANG
Get PDFIn histotechnology, bones play a certain role in the diagnosis of disease. The dilemma experienced by an anatomical pathology laboratory technician in making bone preparations or preparations containing high calcium salts. To overcome the hardness of the tissue due to the presence of calcium salts, a special technique called decalcification is needed. Strong acids such as hydrochloric or nitric acid are the fastest decalcification solutions in the decalcification process. Safranin is a cationic dye used in histology and cytology to differentiate and identify various tissues and cells. This study aims to determine the effect of nitric acid concentration as a decalcification reagent on the quality of safranin O staining in bones. This study uses an experimental method. The samples used in this study were beef ribs, then the specimens were decalcified with 5%, 10% and 15% nitric acid. The results showed that the nitric acid decalcification agent at concentrations of 5% and 10% obtained a consistency result of 1, meaning that the consistency of the beef rib bone sample was not soft, while 15% Nitric Acid obtained a consistency result of 3, meaning that the consistency of the beef rib bone sample was soft. Then, in the histological assessment of bone tissue preparations that have been stained with Safranin O, it was obtained at a concentration of 5% staining intensity with a final score grade of 0, meaning poor quality. At a concentration of 10% staining intensity with a final score of 1, meaning poor quality, and histological assessment of a concentration of 15% staining intensity with a final score of 2, meaning good quality. From this study, it can be concluded that the results of safranin O staining on beef ribs show differences in staining quality at different concentrations of decalsifying agents