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WASTE BANKS OPTIMIZATION IN THE FRAMEWORK OF REALIZING IT ECO-GREEN IN PACIRAN LAMONGAN VILLAGE Nurus Safaâ€™atilllah; Ruswaji Ruswaji; Ratna Handayati
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 6, No 3 (2022): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v6i3.6489

Garbage is one of the social problems faced by everyone, both in villages and cities. According to Slamet (2002) waste is the residue of human daily activities or it can also be natural processes in the form of solid, or semi-solid in the form of organic or inorganic substances that can be decomposed and cannot be decomposed which are considered useless and disposed of into the environment. Indonesian Ministry of Environment. issued data on the average population living and living in Indonesia which generates 0.8 kg of waste or the equivalent of 200 million kg/day of the total population. The main source of waste in Indonesia is households, which nationally account for 44% of the total waste generation. Poor waste management in the form of garbage disposal on riverbanks, coasts and waterways is the main cause of flooding in Paciran village and its surroundings. Like the recent incident, the water discharge increased and overflowed during heavy rains. This was caused by piles of garbage that blocked the flow of river water. To overcome all this, it is necessary to strive to provide supporting facilities for waste handling so that people do not throw garbage into rivers and onto beaches, so a Garbage Bank was established. A waste bank is a place for collecting waste that has been sorted where the results of the collection will be deposited in a garbage collector. The purpose of the garbage bank is not only to overcome flooding and to maintain the beauty of the beach which is a tourist spot in Paciran village, but also to increase the income of the local community in the midst of a pandemic that has affected the community's economy. every customer account registered in the Garbage Bank. In addition to being deposited in collectors, some trash is also recycled into handicrafts with economic value such as bags, pots, piggy banks etc.. Utilizers of waste are turned into handicrafts and become regional souvenir icons for tourists.

ANALYSIS OF AFFECTING RICE FARMERS INCOME IN KEDUNGPRING VILLAGE KEC. KEDUNGPRING KAB. LAMONGAN Ike Susanti; Akhlis Priya Pambudi; Ruswaji Ruswaji; Nur Maziyatul
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 6, No 3 (2022): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v6i3.6486

The existence of social and economic factors that are owned by each farmer certainly results in differences. This can be attributed to the capacity of the farmers in producing rice crops and increasing business income in agriculture. The purpose of the study is to explain the analysis that affects the income of rice farmers. The research method used is quantitative method using analytical test tools in the form of T-test, multiple linear regression analysis, Coefficient of Determination Test, and F-test. The results of the data analysis are known that for X2 t test results obtained tcount (3.286) is greater than ttable (1.984) with df = (n-k), at a significant level = 0.05 (0.05/2 = 0.025). So that tcount ttable then H1 is accepted, which means that there is a significant influence between Economic Factor variables on income, while the results of multiple linear regression tests show that Constant (Î± ) is 0.439, indicating the magnitude of the influence of Social Factors (X1), Economic Factors (X2 ), to Income (Y) meaning that if the independent variable is a constant, (X1, X2, = 0) then the income is 0.438. For the results of the coefficient of determination are Social Factors (X1), Economic Factors (X2) to the dependent variable, namely Income (Y) is 0.744. This means that 74.6% of the dependent variable, namely income, can be explained by the independent variable, namely social factors, economic factors. And the remaining 25.4% of income can be explained by other variables or other factors, here another factor is the selling price. And for the results of the F-test which shows that the Fcount is 84.568 with a sig level. of 0.000. At the level of significant value = 0.05.

Pelatihan Public Speaking Untuk Meningkatkan Kecerdasan Intrapersonal Siswa di SMKM 13 Tikung Lilik Uzlifatul Jannah; Uzlifatul Masruroh Isnawati; Ruswaji Ruswaji
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 3 No. 1 (2022): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Penelitian ini mengeksplorasi pentingnya kecerdasan intrapersonal (intrapersonal intelligence). Ada dua kecerdasan yang berhubungan dengan perasaan diri sendiri. Pertama kecerdasan pribadi yang berhubungan dengan aspek internal dari seseorang. Hal itu disebut dengan kecerdasan intrapersonal yang meliputi penilaian-diri yang akurat, penentuan tujuan, memahami-diri atau instropeksi, dan mengatur emosi diri. Jika seseorang sudah memiliki kecerdasan intrapersonal yang kuat maka ia mampu memahami dirinya sebagai pribadi, apakah menyangkut potensi dirinya, bagaimana ia mereaksi terhadap berbagai hal, dan apa yang menjadi cita-citanya. Hasil penelitian ini menunjukkan bahwa kepercayaan diri dan motivasi siswa dengan kecerdasan intrapersonal yang baik membuat siswa membuat keputusan dan menentukan perilakunya tanpa harus selalu diarahkan dari orang lain yang dalam implementasi performansi pembelajaran kelas public speaking menunjukkan hasil yang signifikan.

WASTE BANKS OPTIMIZATION IN THE FRAMEWORK OF REALIZING IT ECO-GREEN IN PACIRAN LAMONGAN VILLAGE Nurus Safaatilllah; Ruswaji Ruswaji; Ratna Handayati
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 6, No 3 (2022): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v6i3.6489

Garbage is one of the social problems faced by everyone, both in villages and cities. According to Slamet (2002) waste is the residue of human daily activities or it can also be natural processes in the form of solid, or semi-solid in the form of organic or inorganic substances that can be decomposed and cannot be decomposed which are considered useless and disposed of into the environment. Indonesian Ministry of Environment. issued data on the average population living and living in Indonesia which generates 0.8 kg of waste or the equivalent of 200 million kg/day of the total population. The main source of waste in Indonesia is households, which nationally account for 44% of the total waste generation. Poor waste management in the form of garbage disposal on riverbanks, coasts and waterways is the main cause of flooding in Paciran village and its surroundings. Like the recent incident, the water discharge increased and overflowed during heavy rains. This was caused by piles of garbage that blocked the flow of river water. To overcome all this, it is necessary to strive to provide supporting facilities for waste handling so that people do not throw garbage into rivers and onto beaches, so a Garbage Bank was established. A waste bank is a place for collecting waste that has been sorted where the results of the collection will be deposited in a garbage collector. The purpose of the garbage bank is not only to overcome flooding and to maintain the beauty of the beach which is a tourist spot in Paciran village, but also to increase the income of the local community in the midst of a pandemic that has affected the community's economy. every customer account registered in the Garbage Bank. In addition to being deposited in collectors, some trash is also recycled into handicrafts with economic value such as bags, pots, piggy banks etc.. Utilizers of waste are turned into handicrafts and become regional souvenir icons for tourists.

ANALYSIS OF AFFECTING RICE FARMERS INCOME IN KEDUNGPRING VILLAGE KEC. KEDUNGPRING KAB. LAMONGAN Ike Susanti; Akhlis Priya Pambudi; Ruswaji Ruswaji; Nur Maziyatul
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 6, No 3 (2022): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v6i3.6486

The existence of social and economic factors that are owned by each farmer certainly results in differences. This can be attributed to the capacity of the farmers in producing rice crops and increasing business income in agriculture. The purpose of the study is to explain the analysis that affects the income of rice farmers. The research method used is quantitative method using analytical test tools in the form of T-test, multiple linear regression analysis, Coefficient of Determination Test, and F-test. The results of the data analysis are known that for X2 t test results obtained tcount (3.286) is greater than ttable (1.984) with df = (n-k), at a significant level = 0.05 (0.05/2 = 0.025). So that tcount ttable then H1 is accepted, which means that there is a significant influence between Economic Factor variables on income, while the results of multiple linear regression tests show that Constant (Î± ) is 0.439, indicating the magnitude of the influence of Social Factors (X1), Economic Factors (X2 ), to Income (Y) meaning that if the independent variable is a constant, (X1, X2, = 0) then the income is 0.438. For the results of the coefficient of determination are Social Factors (X1), Economic Factors (X2) to the dependent variable, namely Income (Y) is 0.744. This means that 74.6% of the dependent variable, namely income, can be explained by the independent variable, namely social factors, economic factors. And the remaining 25.4% of income can be explained by other variables or other factors, here another factor is the selling price. And for the results of the F-test which shows that the Fcount is 84.568 with a sig level. of 0.000. At the level of significant value = 0.05.

ANALYSIS THAT INFLUENCES THE PERFORMANCE OF HOME INDUSTRIAL EMPLOYEES IN DURUNGBEDUG VILLAGE, SIDOARJO DISTRICT, SIDOARJO DISTRICT Indira Shofia Maulida; Ike Susanti; Ruswaji Ruswaji; Bella Fernanda
Jurnal Ekonomi Vol. 12 No. 02 (2023): Jurnal Ekonomi, Perode April - Juni 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Soybean became known in Indonesia since the 16th century. Initially, the spread and cultivation of soybeans was on the island of Java, then developed to Bali, Nusa Tenggara and other islands. Soybean is one of the main ingredients in the process of making tofu. Industry can run well because it is influenced by employee performance. The purpose of this research is to analyze the performance of employees in the tofu industry in Durungbedug Village, Sidoarjo District, Sidoarjo Regency. The method used in this research is Descriptive – Quantitative. Using a sample of tofu industry employees, the analytical tool used is multiple linear regression, to test the hypothesis used the coefficient of determination, F test and T test. The results of data processing, namely the T-test, obtained t count for work discipline of 1.592, motivation of 0.856 and leadership style 2.815. To determine the t table, use the statistical attachment t table, using α = 5%. The procedure for testing the t test is to use a 2-tailed test (a = 5% : 2 = 2.5%), with (df) n-1 or 50-1=49. Then obtained t table 2.009. The results of the multiple linear regression test ???? = 1.608 + ????.328???????? + ????.410???????? + ????.554???????? + ???? namely the leadership style variable (X3) is more dominant in influencing the variable (Y) namely employee performance, this is evidenced by the value of the regression coefficient of 0.554 . Which is greater than the regression coefficient variable work discipline (X1) and motivation (X3). The results of the F-test show that work discipline (X1), motivation (X2), and leadership style (X3) simultaneously affect employee performance (Y). Where is the calculated F count of 24.362 with a significance level of 0.05.

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