scholarly journals Analisa Model Evaporasi dan Evapotranspirasi Menggunakan Pemodelan Matematika pada Visual Basic di Kabupaten Maros

2021 ◽  
Vol 5 (3) ◽  
pp. 179-196
Author(s):  
Ahmad Fausan ◽  
Budi Indra Setiawan ◽  
Chusnul Arif ◽  
Satyanto Krido Saptomo

The approach to calculating evaporation and evapotranspiration, both potential and actual, varies widely. The models used to estimate the amount of evapotranspiration, particularly at the Maros Climatology Station, Maros Regency, South Sulawesi. Evaporation models use the Penman, Priestley, Bruin, and Valiantzas models while evapotranspiration models use the Penman, Hargreaves, Jensen-Haise, Penman-Monteith, Radiation, Turc, and Makkink models, where all of these methods use climate data, such as are the minimum temperature (Tn), maximum temperature (Tx), air temperature (Ta), average humidity (RH), rainfall (R), duration of sun exposure (SS), and maximum wind speed (U) in calculations using Visual basic program in Microsoft Excel in the form of code. Thus, it is necessary to conduct an analysis of the suitability of the model to the results of the observations in order to find out which model is suitable according to the results of the largest coefficient of determination (R2). Based on the results of the model suitability analysis, a selected model was obtained, namely the Valiantzas model with a value of 0.980 in the evaporation calculation and the Jensen-Haise model, namely 0.889.

2018 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
Samrotu Sa’adah ◽  
Arif Partono Praseti

This study aims to examine the effect of work stress on employee turnover intention at PT Internusa Jaya Sejahtera Merauke, Papua. This study obtained data from questionnaires distributed to 117 employees of PT Internusa Jaya Sejahtera. The questionnaire used has 14 point statements and uses a 6 point Likert scale. The technique used in this research is descriptive analysis technique used to analyze the level of work stress and turnover intention level on employees. Simple linear regression analysis is also used to determine the effect between work stress variables and turnover intention variables. The results showed that work stress had a significant positive effect on turnover intention on employees of PT Internusa Jaya Sejahtera. The coefficient of determination in this study has a value of 0.571 which means that the level of job stress to turnover intention of 57.1%.Keywords : work stress, turnover intention, linear regression ABSTRAK Penelitian ini bertujuan untuk meneliti pengaruh stres kerja terhadap turnover intention pada karyawan di PT Internusa Jaya Sejahtera Merauke, Papua. Peneltian ini memperoleh data dari hasil penyebaran kuesioner kepada 117 karyawan PT Internusa Jaya Sejahtera. Kuesioner yang digunakan memiliki 14 butir pernyataan dan menggunakan skala Likert 6 poin. Teknik yang digunakan pada penelitian kali ini adalah teknik analisis deskriptif yang digunakan untuk menganalisis tingkat stres kerja dan tingkat turnover intention pada karyawan. Analisis regresi linier sederhana juga digunakan unntuk mengetahui pengaruh antara variabel stres kerja dan variabel turnover intention. Hasil penelitian menunjukkan bahwa stres kerja berpengaruh signifikan positif terhadap turnover intention pada karyawan PT Internusa Jaya Sejahtera. Koefisien determinasi pada penelitian ini memiliki nilai 0.571 yang memiliki arti bahwa tingkat stres kerja terhadap turnover intention sebesar 57,1%.Kata kunci : stres kerja, turnover intention, regresi linier.


Author(s):  
S.S. Mote ◽  
D.S. Chauhan* and Nilotpal Ghosh1

The study was undertaken to evaluate the effect of different macro climatic variables on lactation milk yield and lactation length of Holdeo (Holstein Friesian x Deoni) crossbred cattle. Milk data of 145 Holdeo crossbred cows with 619 lactation records and the meteorological data over a period of 15 years (1995-2009) were obtained from Cattle Cross Breeding Project, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani and University Meteorological Observatory, respectively. It was observed that maximum temperature has significant correlation with lactation milk yield; whereas maximum temperature, minimum temperature, sunshine hours and wind speed have significant correlation with lactation length. Regression analysis indicated that all the climatic variables except minimum temperature exhibited significant regression results with lactation milk yield, and maximum temperature, minimum temperature and maximum humidity have significant regression results with lactation length. All the climatic variables considered in the study accounted for 75 % and 65 % direct variation on lactation milk yield and lactation length, respectively, as verified by the value of coefficient of determination (R2). It was observed that lactation milk yield (1136.56 + 21.04 kg.) and lactation length (295.29 + 5.51 days) were highest among the cows calved during winter season as compared to rainy and summer season. All the climatic variables considered in the study accounted for 57% , 56 % and 48 % direct variation on milk yield and 68% , 53 % and 46 % direct variation on lactation length in rainy, winter and summer season, respectively, as verified by the value of coefficient of determination (R2). This research indicated that crossbred cows were sensitive to seasonal changes on their lactation performance. The optimum ranges of temperature; humidity and THI for better performance of crossbred in subtropical region of India were found to be 19-26 oC, 52-66 % and 65-68 %, respectively.


Author(s):  
Swaminathan Ganesan ◽  
Sampath Vedamanickam

In this study, the influence of upper cycle temperature (maximum temperature in a cycle) and the magnitude of applied stress on the functional properties of an SMA during partial thermomechanical cycling has been studied. A near-equiatomic NiTi SMA was chosen and tested under different upper cycle temperatures (between martensite finish (Mf) and austenite finish (Af) temperatures) and stress level (below and above the yield strength of the martensite). The upper cycle temperature was varied by controlling the magnitude of the current supply. The results show that a raise in the upper cycle temperature causes the permanent strain to increase and also lowers the stability. However, decreasing the stress imposed to a value lower than the yield strength of the martensite improves cyclic stability. The upper cycle temperature was found to influence the crack nucleation, whereas the applied stress level the crack propagation during partial thermomechanical cycling of SMAs. Therefore, decreasing the upper cycle temperature as well as the magnitude of stress applied to lower than the yield stress of martensite have been found to be suitable strategies for increasing the lifespan of SMA-based actuators during partial thermomechanical cycling.


2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Lingling Shen ◽  
Li Lu ◽  
Tianjie Hu ◽  
Runsheng Lin ◽  
Ji Wang ◽  
...  

Homogeneity of climate data is the basis for quantitative assessment of climate change. By using the MASH method, this work examined and corrected the homogeneity of the daily data including average, minimum, and maximum temperature and precipitation during 1978–2015 from 404/397 national meteorological stations in North China. Based on the meteorological station metadata, the results are analyzed and the differences before and after homogenization are compared. The results show that breakpoints are present pervasively in these temperature data. Most of them appeared after 2000. The stations with a host of breakpoints are mainly located in Beijing, Tianjin, and Hebei Province, where meteorological stations are densely distributed. The numbers of breakpoints in the daily precipitation series in North China during 1978–2015 also culminated in 2000. The reason for these breakpoints, called inhomogeneity, may be the large-scale replacement of meteorological instruments after 2000. After correction by the MASH method, the annual average temperature and minimum temperature decrease by 0.04°C and 0.06°C, respectively, while the maximum temperature increases by 0.01°C. The annual precipitation declines by 0.96 mm. The overall trends of temperature change before and after the correction are largely consistent, while the homogeneity of individual stations is significantly improved. Besides, due to the correction, the majority series of the precipitation are reduced and the correction amplitude is relatively large. During 1978–2015, the temperature in North China shows a rise trend, while the precipitation tends to decrease.


2019 ◽  
Vol 3 (2) ◽  
pp. 101
Author(s):  
Denok Sunarsi ◽  
Aris Baharuddin

Good service quality within the company will create satisfaction for its customers. The purpose of this study was to determine the effect of service quality and price accuracy on consumer confidence and its implications for increasing sales. The method used is explanatory research with regression tests, coefficient tests, coefficient of determination tests and hypothesis testing. The results of the study it was found that there is a significant influence between service quality on consumer confidence with a determination value of 40.6% and a probability of significance of 0,000 <0.05. There is a significant influence between the accuracy of prices on consumer confidence with a value of 45.1% determination and a significance probability of 0.000 <0.05. There is a significant influence between service quality and price accuracy simultaneously on consumer trust with a determination value of 60.4% and a significance probability of 0.000 <0.05.


JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 105
Author(s):  
Bayu Wibisono ◽  
Alexander Victor Bukit ◽  
Adi Bandono ◽  
Edy Widodo

School of Communication (Sekom) is a place for educational institutions of the Indonesian Navy'sNational Army which has the duty to educate and prepare human resources in the field of communication.In providing Morse gesture learning material, the instructors still use the media in the form of a Morseknock tool manually, the news is received and recorded by other students with a sheet of paper or abook. There are ideas or ideas from the author to combine the Morse signal method using computermedia in its implementation. The design of this study was carried out to provide an overview of thesystem to be created. The flow of news delivery is news that is processed in the server and then sentusing the computer as a server automatically so that it will come out in the form of morse audio after theprocess begins and then is received by students using a computer as a client and the results of studentanswers will be automatically saved into the server, after saving the teacher can retrieve the resultsdirectly typing students who automatically have a value that is managed in the server. The assessmentsystem is automatically processed in the server by means of a comparison between the news sent by theteacher with the results typed by students.Keywords: Morse, Server and client.


2020 ◽  
Vol 4 (2) ◽  
pp. 108
Author(s):  
Dimas Prakoswo Widayani ◽  
Kresna Shifa Usodri

Mount Arjuna is a mountainous area with forests and several cultivated plants located in Malang Regency, East Java. The forest is a complex area that is used as a protected area, research and production forest for agricultural commodities. The complex is located in the forest resulted in highly varied environmental conditions. The forest consists of several areas, namely protected forest, production forest, coffee plantation, and seasonal plantations. The Arjuna mountain area has several stands including pine and mahogany, but most of it is filled with pines by 90% and mahogany trees around 10%. Most of the coffee plants found in the Arjuna mountain forest area are Arabica coffee, while the rest is robusta coffee. This research was conducted on the slopes of Mount Arjuna, located in Sumbersari Village, Karangploso District, Malang Regency, East Java. This research was conducted from July to October 2017. This research employed a survey method by taking several sample points that represent the coffee plants in the area. Several sampling plots for land suitability analysis were identified in the area: The observation stages were carried out by taking air temperature data using a thermohygrometer by taking the minimum and maximum temperature data, taking air humidity using a thermohigrometer as well as minimum and maximum data and light intensity data using lux meters, taking soil samples to measure nutrients and soil fertility, and measuring the height and slope of the land. The results of the observations that have been made will be analyzed using the land suitability analysis method, by adjusting the area's data with the land suitability level for robusta and arabica coffee plants.Gunung Arjuna merupakan kawasan pegunungan dengan hutan serta beberapa tanaman budidaya yang terletak di Kabupaten Malang, Jawa Timur. Hutan tersebut merupakan kawasan kompleks yang dimanfaatkan sebagai kawasan lindung, riset dan juga hutan produksi untuk komoditas pertanian. Kondisi hutan yang kompleks mengakibatkan kondisi lingkungan tersebut sangat bervariatif. Hutan terdiri dari beberapa kawasanya, yaitu hutan lindung, hutan produksi, perkebunan kopi serta kawasan tanaman semusim. Kawasan gunung Arjuna memiliki beberapa tegakan diantaranya pinus dan mahoni namun sebagian besar dipenuhi oleh pinus sebesar 90% dan pohon mahoni berkisar 10%. Sebagian besar tanaman kopi yang terdapat pada kawasan hutan gunung Arjuna adalah jenis kopi arabika sedangkan sisanya adalah kopi robusta. Penelitian ini dilakukan di kawasan lereng Gunung Arjuna, Terletak di Desa Sumbersari, Kecamatan Karangploso, Kabupaten Malang, Jawa Timur. Penelitian ini akan dilaksanakan pada bulan Juli–Oktober 2017. Penelitian ini menggunakan metode survei dengan mengambil beberapa titik sampel yang mewakili yang mewakili tanaman kopi di kawasan tesebut. Beberapa plot sampel pengambilan sampel untuk analisis kesesuaian lahan diidentifikasi pada kawasan: Adapun tahapan pengamatan yang dilakukanya itu pengambilan data suhu udara menggunakan termohigrometer dengan mengambil data suhu minimum dan maksimum, pengambilan kelembapan udara dengan alat termohigrometer juga data minimum dan maksimum serta data intensitas cahaya menggunakan lux meter, pengambilan sampel tanah untuk mengukur hara serta kesuburan tanah, mengukur ketinggian serta tingkat kelerengan lahan. Hasil pengamatan yang telah dilakukan akan dianalisis menggunakan metode analisis kesesuaian lahan, dengan menyesuaikan data kawasan tersebut dengan tingkat kesesuaian lahan untuk tanaman kopi robusta dan arabika.


2021 ◽  
Vol 5 (2) ◽  
pp. 96-104
Author(s):  
Badrudin Badrudin ◽  
Neng Gustini ◽  
Cep Ilyas Amirulloh

This study aims to determine and describe the relationship between financing management and the quality of diniyah education in Madrasah Diniyah Takmiliyah Awaliyah in the Bandung Regency. This study uses a quantitative approach. The data collection technique is done by distributing questionnaires (questionnaires) and documentation with a sample of 37 people. The data analysis techniques used are research instrument trials, partial analysis, correlation analysis, and coefficient of determination (contribution) analysis. The results showed that the achievement of financing management and the quality of diniyah Takmiliyah Awaliyah education in Bandung Regency showed a significant relationship between financing management and the quality of diniyah education. The linearity test of financing management (X) and the quality of diniyah education (Y) obtained a value of F = 1.611 with a significance level of 0.218, so it can be interpreted that it has a positive and significant linear relationship. This study has implications for the importance of effective financing management in improving the quality of madrasah.


2017 ◽  
Vol 1 (1) ◽  
pp. 18
Author(s):  
Ahmad Tarmizi

The purpose of the research is to find out and analyze the attitude of consumers towards products of honda motor vehicles branded vario on PD. Motor Power Muaro Jambi. The number of samples that will be taken is as much as 100 people respondents. Sample withdrawal technique is done in a non probability of simple random sampling. Analysis tools are used multiple linear regression. Research results from theTest F F values obtained to calculate probability with 41.855 of 0.000. Because F count 42.193 > F 2.47 and the probability Table is much smaller than 0.05 regression models then can be used to predict future purchasing decisions (the dependent variable) or it can be said that all independent variables namely Utilitarian Function, the expression value, maintain the ego and knowledge together effect on the dependentvariable consumer purchasing decisions against the Honda brand Vario. The coefficient of determination (R2) above shows the magnitude of the adjusted R2 is 0.640, this means that 64% of the variations in purchase decisions can be explained by the variation of 4 independent variables. The t-test analysis results above is a value t calculate on variable Utilitarian (X 1). variable expression of the value (X 2) Defending the Ego (X 3), variable knowledge (X 4) significance level of 0.000 significance probability α = < 0.05, then Ho denied and Ha is received. This means the variables x 1, x 2,x 3, X 4 positive and significant effect against the decisionKey word: attitude, consumer, purchase


Author(s):  
AWO Sourou Malikiyou ◽  
ALE Agbachi Georges ◽  
YABI Ibouraïma

La variabilité climatique dans les communes de Djidja et de Djougou engendre des conséquences aussi bien sur les niveaux de productivités, de production que sur les revenus des exploitants agricoles. L’objectif de cette recherche est d’étudier la vulnérabilité future des systèmes de productions agricoles face aux changements climatiques dans les Communes de Djidja et de Djougou.L’approche méthodologique utilisée comprend la collecte des données, leur traitement et l’analyse des résultats. Les enquêtes ont été faites dans les villages choisis sur la base de critères bien définis (la taille de la population agricole et son implication dans la production agricole). La méthode de D. Schwartz (1995, p. 94) a permis de constituer l’échantillon de 377 producteurs. Enfin, une projection climatique sur la période 2019-2050/2075 est faite au moyen du logiciel climatique « Climate explorer ».Il ressort des résultats de l’étude que, dans la commune de Djougou, la variation au niveau de la température minimale actuelle (RCP8.5) est comprise entre -1,62°C en 1992 et 2,29°C en 2075. La température maximale quant à elle varie entre -1,40°C en 1994 à 2,18°C en 2075. C’est à partir de 2071 que l’augmentation de la température minimale va dépasser les 2°C et si rien n’est fait cette hausse va s’accroître et devenir permanente. De même, dans la commune de Djidja, la température minimale la plus élevée est observée en 2075 avec des variations de 1 à 2°C pour les RCP4.5 et RCP8.5. Au niveau de la température maximale, l’année la moins chaude est 1992 (-1,33mm/jour) pour RCP8.5 et 1991 (-1,02mm/jour) pour RCP4.5. La même évolution s’observe au niveau des températures maximales. L’année 1992 reste la plus déficitaire avec une chute de -1,60°C et l’année la plus excédentaire sera l’année 2075 avec une hausse de 2,18 mm par jour, sur la période 1992-2080. La corrélation est observée en 2042 avec une valeur de 0,322 mm par jour. L’examen des résultats révèle que les valeurs des paramètres climatiques à savoir précipitations et évaporation sont à la hausse sur la période 1980-2080 dans la commune de Djidja. Suivant la trajectoire actuelle, RCP8.5, les années les plus arrosées sont 2037, 2070 et 2073 avec respectivement des variations égales à 0,17mm et 0,27mm de pluie par jour. Face à ces difficultés, les populations agricoles adoptent des mesures pour contrer les contraintes climatiques.ABSTRACTClimatic variability in the communes of Djidja and Djougou has consequences both on the levels of productivity and production and on the income of farmers. The objective of this research is to study the vulnerability of agricultural production systems to climate change in the Communes of Djidja and Djougou.The methodological approach used includes data collection, processing and analysis of the results. The surveys were carried out in the villages chosen on the basis of well-defined criteria (the size of the agricultural population and its involvement in agricultural production). The method of D. Schwartz (1995, p. 94) made it possible to constitute the sample of 377 producers. Finally, a climate projection over the period 2019-2050 / 2075 is made using the climate software "Climate explorer".The results of the study show that, in the municipality of Djougou, the variation in the current minimum temperature (RCP8.5) is between -1.62 ° C in 1992 and 2.29 ° C in 2075. The maximum temperature varies between -1.40 ° C in 1994 to 2.18 ° C in 2075. It is from 2071 that the increase in the minimum temperature will exceed 2 ° C and if nothing is In fact, this increase will increase and become permanent. Similarly, in the municipality of Djidja, the highest minimum temperature is observed in 2075 withvariations of 1 to 2 ° C for RCP4.5 and RCP8.5. At maximum temperature, the coolest year is 1992 (-1.33mm / day) for RCP8.5 and 1991 (-1.02mm / day) for RCP4.5. The same development can be observed at the level of maximum temperatures. The year 1992 remains the most in deficit with a fall of -1.60 ° C and the year the most in surplus will be the year 2075 with an increase of 2.18mm per day, over the period 1992-2080. The correlation is observed in 2042 with a value of 0.322 mm per day. Examination of the results reveals that the values of climatic parameters, namely precipitation and evaporation, are on the rise over the period 1980-2080 in the municipality of Djidja. Following the current trajectory, RCP8.5, the wettest years are 2037, 2070 and 2073 with respectively variations equal to 0.17mm and 0.27mm of rain per day. Faced with these difficulties, agricultural populations are adopting measures to counter climatic constraints. Keywords: Djidja, Djougou, vulnerability, production system, agriculture, climate change.


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