scholarly journals MENGENAL LITERASI ETNOMATEMATIKA DALAM BUDAYA MANGGARAI

2020 ◽  
Vol 4 (2) ◽  
pp. 76-85
Author(s):  
Eliterius Sennen

In the life of the Manggarai community, numbers 1-10 each have different names or designations. Furthermore, for numbers 10 - 90 there are additional phonemes / m / and followed by the word pulu from numbers 1-9, and specifically for multiples of 10, there is a sound change from / a / to / e /, such as se (ce) mpulu, suampulu , telumpulu, and so on. While numbers 11-19 are a combination of numbers 10 - 90 with numbers 1-9, such as se (ce) mpulu ca, se (ce) mpulu sua, se (ce) mpulu telu, ..., se (ce) mpulu siok (ciok ), suampulu sa / ca, suampulu sua, suampulu telu, ..., suampulu siok / ciok, telumpulu sa (ca), telumpulu sua, telumpulu telu, and so on up to siok (ciok) mpulusiok (ciok). Furthermore, numbers 100 - 900 are called se(ce) ratus, sua ratus, telu ratus, and so on up to Siok (ciok) ratus. Numbers 1000, 2000, 3000, and so on are called ce ribu (ce sebu), sua ribu (sua sebu), telu ribu (telu sebu), and so on. In addition to the base 10 numbers, also found the use of base numbers 2, base 4, base 8, and base 100 as found in the western region of Manggarai. These base numbers 2, base 4, base 8 and base 100 are used in packaging corn. Corn packages consisting of 2 grains are called wasé, packages consisting of 4 grains are called ndurung, packages consisting of 8 grains are called dolé, and packages containing 100 grains or suampulu lima ndurung are called limbung. Various types of tools that are often used by the Manggarai community to say, among others: fingers, corn kernels, dukut ré'a, with measurement units used are: dalo, héndok, pagat, ciku, depa, dako, tongka, wega and so on . The amount of time is: leso, week, lu'ang / wulang, ntaung, and so on. Length measuring instruments commonly used are Ntawang / Ndawang wasé and wasé ajo, the units of which are meters. The length measuring unit commonly used by the Manggarai community is; dalo, héndok, pagat, ciku, depa, and lampa or nggap.

Author(s):  
Abdulmalik Alghamdi ◽  
Mohammed Alzahrani ◽  
Abdulla Alhamami ◽  
Adel Altalhi ◽  
Ali Alkhathami ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Deo B. Ndumu ◽  
Barnabas Bakamutumaho ◽  
Edward Miller ◽  
Jesca Nakayima ◽  
Robert Downing ◽  
...  

Abstract Background Prior to the first recorded outbreak of Rift Valley fever (RVF) in Uganda, in March 2016, earlier studies done until the 1970’s indicated the presence of the RVF virus (RVFV) in the country, without any recorded outbreaks in either man or animals. While severe outbreaks of RVF occurred in the neighboring countries, none were reported in Uganda despite forecasts that placed some parts of Uganda at similar risk. The Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) undertook studies to determine the RVF sero-prevalence in risk prone areas. Three datasets from cattle sheep and goats were obtained; one from retrospective samples collected in 2010–2011 from the northern region; the second from the western region in 2013 while the third was from a cross-sectional survey done in 2016 in the south-western region. Laboratory analysis involved the use of the Enzyme Linked Immunosorbent Assays (ELISA). Data were subjected to descriptive statistical analyses, including non-parametric chi-square tests for comparisons between districts and species in the regions. Results During the Yellow Fever outbreak investigation of 2010–2011 in the northern region, a total sero-prevalence of 6.7% was obtained for anti RVFV reacting antibodies (IgG and IgM) among the domestic ruminant population. The 2013 sero-survey in the western region showed a prevalence of 18.6% in cattle and 2.3% in small ruminants. The 2016 sero-survey in the districts of Kabale, Kanungu, Kasese, Kisoro and Rubirizi, in the south-western region, had the respective district RVF sero-prevalence of 16.0, 2.1, 0.8, 15.1and 2.7% among the domestic ruminants combined for this region; bovines exhibited the highest cumulative sero-prevalence of 15.2%, compared to 5.3 and 4.0% respectively for sheep and goats per species for the region. Conclusions The absence of apparent outbreaks in Uganda, despite neighboring enzootic areas, having minimal restrictions to the exchange of livestock and their products across borders, suggest an unexpected RVF activity in the study areas that needs to be unraveled. Therefore, more in-depth studies are planned to mitigate the risk of an overt RVF outbreak in humans and animals as has occurred in neighboring countries.


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