Publication Search

The coastal area in Aeng Batu-Batu Village, Galesong, Takalar Regency is one of the areas whose lives depend on marine products, especially on seaweed cultivation as their main livelihood. However, due to the sea mining activities that began in the area since 2017 to meet the needs of infrastructure projects on the Center Point of Indonesia (CPI) reclamation island, it has had a significant impact on the social life of the local community, a change in income that has decreased from seaweed cultivation which has finally made fishermen switch to looking for other marine biota such as crabs and squid. In the context of social dynamics that occur as a result of mining, it has made changes in the daily activities of the local community, especially in the search for income. In this case, the solidarity of the local community is also an important factor in changing habits that occur after sand mining occurs. Sand mining also triggers coastal abrasion which causes houses in coastal areas to be exposed to abrasion. This research uses qualitative methods that focus on interview techniques, observation and literature review which are used to analyze the effects of sand mining on the coastal communities of Aeng Batu-Batu Village. The results of this study show that coastal sand mining has brought changes to the social dynamics and interaction patterns that exist in the community, especially in the management of marine resources and their place of residence. These results are expected to be material for further attention regarding coastal environmental management policies related to the utilization of natural resources, especially for reclamation needs in order to prevent negative impacts that arise in coastal communities.

Unmanned Surface Vessels (USV) have become a major focus in modern maritime technology for mine search and handling. Unmanned vessels are equipped with advanced sensors such as sonar and lidar to detect and map mines below the water's surface. In addition, image processing systems and artificial intelligence are used to analyze sensor data and identify mine locations with high accuracy. Once a mine is detected, the unmanned vessel is equipped with a mine handling system that can safely destroy or deactivate the mine. Thus, unmanned vessels are an effective and efficient solution in searching and handling mines in potentially dangerous waters. This study discusses the selection of unmanned vessels as a solution to search for and neutralize mines. This study was conducted quantitatively using the Analytical Hierarchy Process (AHP) method to determine recommendations for Unmanned Vessels with Mine Countermeasure capabilities to the Indonesian Navy. The results of the quantitative study showed the priority of the criteria that would later narrow down to the priority of selecting an Unmanned Vessel from several alternative choices analyzed by the researcher. Theoretically, all previous theories and studies can be used in this study so that they can be utilized in subsequent studies. While practically this study provides recommendations for the Indonesian Navy regarding the characteristics of the Unmanned Axe and various supporting equipment that can be used to carry out Mining Operations and Mine Countermeasures Operations. The calculation results in this study indicate that the priority of the alternative Unmanned Vessel with the highest Mine Countermeasures capability is obtained by Inspector 125 from France with a weight of 0.37450145.

Human resources are a company's most dominant asset, because they can play an important role in the company's business development. An outsourcing company is a legal entity and is obliged to comply with business licenses issued by the Central Government. The eligibility process for new employees is supported based on the level of ability and competency determined by the company. The existence of difficulties for companies in determining the eligibility of new employees which makes the reason for the ineffectiveness of the processes carried out by the company at this time, is used as a goal for the authors for the purposes of a study. By using the classification method in a data mining with the C4.5 algorithm (Decision Tree) and a RapidMiner application as a tool in the analysis process carried out to find a factor supporting the process of a new employee eligibility. With the data of 960 applicants used as a sample, this data was taken from 2021-2022. From the data divided into several attributes used, the highest Gain value obtained from these attributes through the results of Test 2 of 0.417152421 which will be used as the root in the process of determining employee eligibility and has the highest accuracy value of 98.44%.

KPRI KOKARNABA Baturraden faces challenges in managing increasingly complex sales data, particularly in identifying the most in-demand products to maximize profit. This study aims to analyze sales patterns using the Naïve Bayes algorithm as a probability-based classification method. The collected sales data were analyzed to identify categories of best-selling and less popular products within the cooperative. The results indicate that the Naïve Bayes algorithm has an accuracy rate of 77.56% in predicting product categories. This research is expected to assist the cooperative in optimizing stock management and improving member satisfaction.

Margahayu Village is one of the villages located in Loa Kulu Sub-district, Kutai Kartanegara Regency, which is a coal mining area. The post-coal mine reclamation land is mostly utilized by the local community as a Bali cattle pasture. In order for the pasture to be sustainable, it is necessary to know information about the type of forage plant and the carrying capacity of the pasture. This study aims to determine the types of forage plants that grow naturally and the carrying capacity of the pasture in Margahayu Village, Kutai Kartanegara Regency. The method used in this research is the exploratory method, by taking a snapshot using a quadrant size of 1 m x 1 m as many as 20 quadrants. The results showed that the pasture in post-mining land, Margahayu Village obtained 26 different species from 13 families. The dominant forage plant species in the pasture of Margahayu Village is Paspalum conjugatum with an IVI of 98.4% and a carrying capacity of 2.57 AU ha-1 year-1. The pastures in Margahayu Village can still accommodate 667.06 AU or equivalent to 667 cows.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

PT MAS operates in the mining sector, extracting white rocks or feldspar from steep and rugged slopes. Inadequate drainage systems pose significant challenges, such as floods, erosion, and landslides, emphasizing the critical role of effective drainage in mining activities. The designed drainage system incorporates trapezoidal open channels at the mining steps' base. Before reaching natural water bodies, mining water is directed to sedimentation ponds to settle sediments. This research, an experimental study correlating theory with field data, begins with a literature review on open channel drainage theories in mining areas. Data collection includes location specifics, mining area dimensions, rainfall, and runoff coefficients. Manning equation calculations determine planned open channel dimensions, with a bottom width of 0.45 m, flow depth of 0.39 m, freeboard height of 0.097 m, water surface width of 0.9 m, and a slope angle of 60⁰. The research aims to contribute insights for the development and management of open channel drainage systems in mining areas.

Illegal mining is rife in the Halmahera area, North Maluku Province, one of which is in Roko village, West Galela District. Mining without a permit, known as PATI, certainly has a big impact, not only on state income and the preservation of environmental functions, but also triggers social conflict among residents, both between illegal miners and local residents and between fellow miners who want to control certain areas. It doesn't stop there, since the presence of PT. Halmahera Jaya Maining with its modern technology is expected to be managed in accordance with legal and regulatory standards, but the environmental situation is getting worse because it is not equipped with an AMDAL. In this research the author used Empirical Juridical Research by comparing two Legal Research methods, the juridical approach was studied based on Law Number 4 of 2009 as amended by Law Number 3 of 2021 concerning Minerals and Coal in conjunction with Law Number 32 of 2009 concerning Management and Environmental Conservation, as last amended by Law Number 11 of 2020 concerning Job Creation, is carried out empirically. Data collection through monitoring and interviews with residents of Roko Village on behalf of Etus Pali. In studies and field studies, it was found that residents were worried about the presence of PT HJM and illegal mining carried out by residents without permission, which had an impact on the environment. Therefore, it is necessary to carry out integrated supervision and law enforcement by related parties against companies that ignore legal provisions and socialization and advocacy needs to be provided to illegal miners.

East Nusa Tenggara Province in managing the Coastal area in East Nusa Tenggara in Community participation in environmental protection and management efforts in East Lembur Village, Lembur District is still relatively low because not all communities play a role in the planning, implementation, utilization and evaluation stages in the context of environmental protection and management efforts. that the management of coastal areas must have permission from the local government and if carried out illegally, it can be subject to strict sanctions. The research method used in this study is empirical juridic research. Empirical legal research that focuses on behaviors that are embraced or developed in society. This behavior is accepted and appreciated by the community because it is not prohibited by statute law, does not contradict the morals of the community (social ethics). The results of this study show that the Criminal Law Regulation Related to Sea Sand Mining Based on Law No. 32 of 2024 Jo. Law No. 5 of 1990 Law Number 32 of 2024 concerning Amendments to Law Number 5 of 1990 provides a stronger legal framework for the management and protection of natural resources, including sea sand mining. The Coastal Rights Law refers to regulations and policies that regulate the utilization, management, and protection of coastal areas and the rights of the people living around them.  that the people in East Lembur Village have several factors that cause why they are still doing illegal sand mining. One of the negative aspects is the implementation of mining activities that are not in accordance with existing regulations, such as illegal or unlicensed mining. Both on a large and small scale, mining activities require official permits, because their implementation without a permit can result in legal consequences that need to be accounted for.

This study aims to (1) determine the impact of limestone mining activities on the socio-economic conditions of clove farmers in Lahuafu Village and Kolono Village, Morowali Regency, (2) determine the income of clove farmers in affected villages, namely Lahuafu Village and the income of clove farmers in unaffected villages, namely Kolono Village for PT MBN (Mineral Bumi Nusantara) limestone mining activities. This research was conducted in Lahuafu Village and Kolono Village, East Bungku District, Morowali Regency from August to October 2023. This type of research uses qualitative data analysis which is strengthened by quantitative data analysis with a total of 43 respondents. With data collection techniques carried out by observation, interview and documentation methods. To determine the economic impact, an independent sample t-test analysis was used to determine whether or not there was a difference in income between the income of clove farmers in Lahuafu Village and Kolono Village. The results showed that the existence of limestone mining activities in Lahuafu Village has positive and negative impacts on the socio-economic conditions of clove farmers in Lahuafu Village and Kolono Village. The social conditions of clove farmers have positive and negative impacts on changes in education levels, health, living conditions and employment opportunities. In addition, the presence of limestone mining has a positive and negative impact on increasing the income of clove farmers in the affected village of Lahuafu Village and the unaffected village of Kolono Village

Admission of new students to an educational institution is an activity that is always carried out every new academic year, where prospective new students always increase from year to year (Muwardah and Pramunendar, 2015). Admission of students can be held from elementary to middle school, from middle school to high school / vocational school. The focus of this research is the registration of new students at SMK. As is known, SMK is a Vocational High School or abbreviated as (SMK) and where there are many majors provided which ultimately makes prospective new students confused about which major is right for them because will take a long time.. Based on C4.5 as a Classification Algorithm: C4.5 is a popular algorithm for building decision trees. It works by dividing a dataset into smaller subsets based on attribute values, thus forming an easy-to-understand tree structure. Classification results using decision trees provide a clear visualization of the decision-making process and the variables that contribute to student choices.

The purpose of this research was to identify the influence of profitability, debt to equity and sales growth on financial distress in companies listed on the Indonesia Stock Exchange (BEI). The dependent variable tested is financial distress which is calculated using the Altman Z-score. Companies listed on the Indonesia Stock Exchange (BEI) face a number of economic and financial challenges that require careful risk management strategies. One of the main challenges that can threaten business continuity is the risk of financial difficulties. The research applies a purposive sampling method. The research sample consisted of 70 data or the equivalent of 14 companies listed on the IDX in the mining sector for the 2018-2022 period. The data analysis method used is multiple linear regression analysis with SPSS 20 application tools. The results of statistical test research show that profitability has a significant effect on financial distress because the significance value is <0.05, while debt to equity and sales growth have a positive and no effect. significant for financial distress because the significance value is >0.05. The results of the F statistical test show that profitability, debt to equity and sales growth have a significant and equal effect on financial distress because the significance value shows <0.05.

It has been demonstrated that using computers greatly improves our ability to perform our duties. Information services are vital because, while employee performance may still be predicted manually, the process takes a long time. Data mining technologies, on the other hand, make it easier to anticipate employee success for loyal employees. Employee performance evaluation criteria are necessary in order to increase the accuracy of the assessment results, as Toko Merpati Simpang's employee performance assessments cannot be conducted carelessly. Employee performance has to be analyzed and categorized because up until now, manual employee performance evaluations have only used subjective criteria. The C4.5 Algorithm data mining approach is used in this evaluation of employee performance. The degree of accuracy will be ascertained by comparing these two approaches. Positive and negative emotions are the two categories of sentiment. The aim of this study is to ascertain the degree of accuracy of the comparison between the two tested techniques and to offer information on the quality of one of Toko Merpati Simpang's employee performance assessments using visitor sentiment. The test results will be evaluated using the Rapidminer tool to demonstrate the degree of accuracy for both testing approaches.   Keywords: , 

Social assistance is an important aspect of government and non-government programs that can help on a large scale for the community so that the impact is to lighten life in the short term, but social assistance has several criteria such as income, social conditions, family status and the impact of the economic situation. . Knowing the criteria for social assistance is done by applying data mining to social assistance using the Naive Bayes algorithm procedure which produces accuracy calculations from 100 testing data, obtained good values, namely accuracy of 95.00%, precision of 92.31%, and recall of 97.95%.

Eligibility for new employees includes individuals who have skills appropriate to the position they are applying for, have a high willingness to learn, communicate well, and have integrity and good work ethics. They must also be able to adapt to the work environment and team quickly, but determining the suitability of new employees is quite difficult given the competencies of each division, therefore the use of data mining is very suitable for determining the suitability of new employees according to the needs of the company which uses them. decision tree algorithm (C4.5), the results obtained from the decision tree algorithm process show the truth tree for classifying new employees and a high level of accuracy with a percentage of 98.44% based on test 2.

Medical record data can be used as a benchmark and comparison in the health business to ascertain the rate at which a disease is developing in a given area. It would be beneficial, though, if this data could be transformed into useful information, like illness forecasts. Infectious diseases like malaria are common in tropical and subtropical regions. West Sumba Regency is the region with the highest number of malaria cases, and this figure rises year. Of the different Puskesmas labor locations, Lolo Wano Health Center has the largest number of positive cases of malaria. In order to apply information system technology and prevent malaria early, research was done at the Lolo Wano Community Health Center to predict malaria using the Naïve Bayes approach. This is because the Community Health Center does not currently have a malaria prediction system. Six of the 16 features in the patient dataset—a total of 27 patient data—were malaria symptoms. When there are suitable illness indicators, positive predictions are produced using the outcomes of Naïve Bayes computations. Before the patient proceeds with a direct medical evaluation, these anticipated results may be utilized as a provisional approximation. Naïve Bayes, Center, Prediction, Malaria

The goal of this study is to ascertain if tax avoidance is impacted by capital intensity, leverage, and profitability which is moderated by firm size. Purposive sampling is used for the sample in this study, which focuses on mining companies that are listed on the IDX. The websites of the respective companies and IDX were used to get the data. The data were analyzed using MRA and multiple linear regression. The results demonstrate that while profitability and capital intensity have a significantly positive impact on tax avoidance, leverage has a negative impact. This study also demonstrates that firm size can moderate the impact of capital intensity and leverage, but it cannot moderate the impact of profitability.

The Indonesian government has implemented various programs to improve public welfare; however, social assistance often misses its target, primarily due to a lack of accurate data. Sirapit Subdistrict, as a government institution, has access to important population data for policy development, particularly in the distribution of aid based on community welfare levels. Factors such as education, age, number of dependents, and income play a significant role in determining an individual's welfare. To address this issue, this study proposes the use of the Apriori method to analyze the factors affecting population welfare. The Apriori method is a data mining algorithm useful for discovering association patterns within a dataset. The study results show that with a support value of 3% and a confidence level of 100%, a pattern was found where residents with a high school education, 1-2 dependents, aged 35-45 years, earning Rp 500,000 - Rp 999,999, and with a low welfare level tend to work as laborers. These findings are expected to serve as a foundation for formulating more targeted policies to improve community welfare in Sirapit Subdistrict.

Many researchers are interested in evaluating the quality of safety cultures, particularly in the mining industry. Keputusan Dirjen Minerba Nomor 185 Tahun 2019, in Element II of the initial review section, has developed a five-level safety culture maturity assessment framework. This study aims to investigate the conceptualization and foundation of developing safety culture maturity levels in the mining sector and provides an educational overview of the application of the developed model with five cultural maturity levels: basic, reactive, planned, proactive, and resilient. This research employs a systematic review methodology using the literature review method. Databases such as Google Scholar and Science Direct were utilized, focusing on specific keywords: "safety culture maturity level," "safety culture maturity level model," "safety maturity level," and "mining." Ten pertinent articles were examined as part of the review process. The methodology used in the development, evaluation, and implementation of safety culture maturity levels involved conducting interviews, utilizing matrices, Focus Group Discussions (FGDs), questionnaires, and literature reviews. The primary goal of the bulk of the publications included in the sample was to create a safety culture maturity level model suitable for application within the mining sector. The literature review revealed that the methodologies employed in these publications are aligned with the five levels of safety culture maturity as stated in Keputusan Dirjen Minerba Nomor 185 Tahun 2019. This comprehensive study discovered that the maturity assessment evaluation identified five identical safety culture maturity levels in each model advancement, consistent with Keputusan Dirjen Minerba Nomor 185 Tahun 2019 in the initial review part. The study provides clear and informative descriptions of the application of the five-level cultural maturity model in the mining sector.