Improving Fishermens Welfare with Fuel-Saving Technology

Darma, Surya; Darma, Dio Caisar; Hakim, Yundi Permadi; Pusriadi, Tommy

doi:10.18488/journal.2.2020.102.105.120

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…Social interaction is basically similar to economic transaction. In this crisis situation, farming sector is in line with the proportion of strength and weakness as suggested by Homans' social exchange theory [6]. Farming sector is the one resistant to the crisis.…”

Section: Discussionmentioning

confidence: 88%

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Covid-19: Opportunity and Effect on Farming Sector

Demartoto

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Farming sector becomes the community’s priority as it gives opportunity and feeling of secure concerning basic needs. However, during Covid-19 pandemic, farming sector also affects community less positively. This research studies phenomenon related to opportunity and effect of farming sector during Covid-19 in Karanganyar, Indonesia. Object of this case study research was farmers’ behavior in utilizing opportunity and effect of farming sector sustainability in Covid-19 era in Karanganyar, Indonesia, analyzed using Homans’ social exchange theory. Data collection was conducted using in-depth interview and observation, and study documentation. The result showed that farmers in Karanganyar can fulfill daily needs and can survive from the Covid-19 pandemic-induced crisis. However, farming production runs more slowly during pandemic and decreases quantitatively; thereby affecting product and service supply and demand stabilities. People, as consumers, fulfilling the food need difficultly due to some restrictions and abnormal market mechanism. Another social effect is the decreased social solidarity between farmers. Covid-19 spreads and transmits quickly, including among farmers. The farmers’ low awareness of complying with health protocol during working is a factor making the disease transmitting quickly. Therefore, socialization should be made on Covid-19 prevention and handling in farmer community.

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Section: Discussionmentioning

confidence: 88%

“…Homans views social behavior as the exchange of activities, either valued or unvalued, and at least benefiting those interacting. Exchange theory explains social behavior based on reward and cost [4][5][6]. Amid the opportunity of Indonesians' need for farming product, farmers also encounter new problems during pandemic.…”

Section: Introductionmentioning

confidence: 99%

Covid-19: Opportunity and Effect on Farming Sector

Demartoto

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…2.1.5 Job characteristics theory (JCT). JCT propounds that divergent job roles may necessitate different degrees of compensation, contingent on their distinct characteristics (Kim et al, 2021;Darma et al, 2020). It posits five cardinal job traitsskill variety, task identity, task significance, autonomy, and feedbackpotentially impacting employee motivation and job contentment.…”

Section: Theoretical Background and Constructsmentioning

confidence: 99%

Dissecting the compensation conundrum: a machine learning-based prognostication of key determinants in a complex labor market

Jaiswal

Gupta²,

Tiwari

2023

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PurposeAmidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.Design/methodology/approachDrawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.FindingsThe empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.Practical implicationsThe research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.Originality/valueThe cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.

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“…Berdasarkan data terakhir menurut Nugroho dan Pawestri (2020) bahwa dari 29,95 juta penduduk yang termasuk kurang mampu di Indonesia, sebanyak kurang lebih 45% berprofesi sebagai nelayan. Sehingga kehidupan sebagian besar nelayan di Indonesia tidak jauh dari kemiskinan dengan hasil tangkapan hanya cukup untuk memenuhi kebutuhan sehari-hari (Darma et al, 2020). Menurut Limi et al (2017) sumber daya yang tersedia di daerah pesisir sangat mempengaruhi tingkat kesejahteraan nelayan.…”

Section: Pendahuluanunclassified

Tingkat Kesejahteraan Nelayan Tradisional di Pantai Bias Lantang Desa Seraya Timur, Kabupaten Karangasem, Bali

Wijayanti

Arthana²,

Indrawan³

2023

JMRT

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Most of the people living on the coast of Bias Lantang Beach, East Seraya Village, work as fishermen with the main catch being of tongkol. This research conducted to gain an insight about the welfare of traditional fishermen and exchange rate of fishermen (NTN) Coast of Bias Lantang Seraya Timur, Karangasem, Bali using BPS indicator and NTN. The population in this study research are all traditional fishermen that are on the Coast of Bias Lantang Seraya Timur. Sampling of these studies is done using calculations from Slovin analysis. As for the method used in this research is case study method with a descriptive analysis, in which data collection is done using a questionnaire and presented in the form of a chart. The results from the prepared questionnaire's data indicate the level of traditional fishermen's welfare and the NTN that was calculated using a NTN. According to BPS, as known traditional fishermen on Bias Lantang Beach Seraya Timur Village had a high score of welfare rates (high range of score 15-21) with total score 18. Whereas based on the NTN it is known that the value of the traditional fishermen on Bias Lantang Beach Seraya Timur Village is 0.95 while the results of NTN<1 showing that traditional fishermen tend to possess a low welfare rated. As a result, there is a difference between the traditional welfare of fishermen on the Bias Lantang Seraya Timur Village used the BPS indicator and the use of NTN. This is because of the welfare of traditional fishermen using BPS indicator methods such as income, expenses, education, health, place, facilities, and status of ownership, wherefrom the seven indicators four indicators had a high score of indicator (score 3). Whereas NTN consists of two indicators (income and expenses), where the expenses of fishermen are bigger than the income.

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Improving Fishermens Welfare with Fuel-Saving Technology

Cited by 5 publications

References 11 publications

Covid-19: Opportunity and Effect on Farming Sector

Covid-19: Opportunity and Effect on Farming Sector

Dissecting the compensation conundrum: a machine learning-based prognostication of key determinants in a complex labor market

Tingkat Kesejahteraan Nelayan Tradisional di Pantai Bias Lantang Desa Seraya Timur, Kabupaten Karangasem, Bali

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