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Tax Revenue: Account Representative Competency and Taxpayer Compliance
Get PDFThe aim of this research was to analyze that Account Representative Competence and taxpayer compliance have an effect on tax revenue at KPP Pratama Mojokerto. Taxes are one of the largest state revenues, therefore the DJP as a government institution appointed to manage taxes wants to increase state revenues from the tax sector. One way is to increase tax recipients. It is hoped that the increase in tax revenues will have an impact on increasing state revenues. The research method is descriptive statistical analysis, data quality test, classical assumption test, and hypothesis testing. The independent variables in this study are Account Representative Competence and Taxpayer Compliance, the Dependent Variable is Tax Revenue. The total population in this study is 33 Account Representatives using the total sampling technique or saturated sample in which the entire population is sampled. Thus, the research sample in this study was 33 Account Representatives. The type of data used is primary data. The result of the research is that Account Representative competence partially does not have a significant effect on tax revenue, partial taxpayer compliance has a significant effect on tax revenue. Account Representative competence and taxpayer compliance simultaneously or together have a significant effect on taxpayer compliance
Usulan strategi peningkatan kualitas layanan dengan pendekatan metode Quality Function Deployment (QFD)
Get PDFUniversitas Merdeka Malang’s Employee Cooperative (Kopkar Unmer) has permanent members of all Lecturers, Employees and Cooperative Workers of the Universitas Merdeka Malang. Besides serving the needs of permanent members, Kopkar Unmer also serves the needs of thousands of students with several business units such as shops, savings and loans, photocopying, canteens and parking. With the large market potential that exists, Kopkar Unmer should continue to strive to improve service quality. Quality and appropriate services are needed by Kopkar Unmer to
maintain customer satisfaction amidst intense competition in similar businesses around the Unmer campus. Based on the results of Real Work Practices at Kopkar Unmer for shop, savings and loan and photocopying business units, there are several service qualities that have very high gaps. If this
is allowed then the longer the consumer satisfaction will be lower. For this reason, it is very important to conduct research to determine the appropriate Technical Response to be carried out in an effort to improve the quality of Unmer's Kopkar services. By using the Quality Function Deployment (QFD) approach, 10 priority Technical Responses were obtained, namely fast service response time, updating photocopiers, updating printing presses, conducting briefings before starting work, maintaining standard quality of goods, maximizing work time efficiency, changing layout in the shop and photocopy units, changes to the arrangement of stock items, tidying up unused items, adding jobdesk employees to each unit for a cleaning schedule
Problematik pengaturan sumber daya air dan pemenuhan hak atas air bagi masyarakat
Get PDFThis research aims to analyse formation of laws and regulations regarding the fulfilment the right for clean water. The primary concern of this study is the community's right to water. The author will make a case in this study describing the issues with how rules and regulations are actually implemented in Indonesian society. The findings of this study show that Indonesia's attempts to complete the right to water and the water law sector still face significant obstacles, especially in light of the vast global ambition
to privatize water, which is contradicts the ideas and efforts in the fulfilment of society's right to clean water
Pengembangan Masyarakat Berbasis Kearifan Lokal Di Desa Wisata Adat Ngadas, Poncokusumo, Kabupaten Malang
Get PDFRecently, tourist destinations have bounced back after being hit by a pandemic in the last two years. Ngadas Traditional Tourism Village, administratively located in Poncokusumo District, Malang Regency, is one example of a village that has natural
resources and local wisdom that has the potential to develop more; it also experienced a decrease in come due to the lack of tourist visits. There are inhibiting factors that need to addressed in developing local communities. There needs to be a community development strategy based on local wisdom in supporting the economic and socio-cultural sustainability of the community sustainably. This research uses a descriptive method with a qualitative approach—data collection techniques through observation, interviews, literature studies and documentation. The results of the study show that efforts to develop the social welfare of local communities are less than optimal because there has not been proper harmonization between the development of human resources, group institutions, community capital and productive businesses, as well as appropriate information
Rice Disease Recognition Using Transfer Learning Xception Convolutional Neural Network
Get PDFAs one of the major rice producers, Indonesia faces significant challenges related to plant diseases such as blast, brown spot, tugro, leaf smut, and blight. These diseases threaten food security and result in economic losses, underscoring the importance of early detection and management of rice diseases. Convolutional Neural Network (CNN) has proven effective in detecting diseases in rice plants. Specifically, transfer learning with CNN, particularly the Xception model, has the advantage of efficiently extracting automatic features and performing well even with limited datasets. This study aims to develop the Xception model for rice disease recognition based on leaf images. Through the fine-tuning process, the Xception model achieved accuracies, precisions, recalls, and F1-scores of 0.89, 0.90, 0.89, and 0.89, respectively, on a dataset with a total of 320 images. Additionally, the Xception model outperformed VGG16, MobileNetV2, and EfficientNetV2
Plant Diseases Classification based Leaves Image using Convolutional Neural Network
Get PDFPlant disease is one of the problems in the world of agriculture. Early identification of plant diseases can reduce the risk of loss, so automation is needed to speed up identification. This study
proposes a custom-designed convolutional neural network (CNN) model for plant disease recognition. The proposed CNN model is not complex and lightweight, so it can be implemented in model applications. The proposed CNN model consists of 12 CNN layers, which consist of eight layers for feature extraction and four layers as classifiers. Based on the experimental results of a plant disease dataset consisting of 38 classes with a total of 87,867 image records. The proposed model can get high performance and not overfitting, with 97%, 98%, 97% and 97%, respectively, for accuracy, precision, recall and f1-score. The performance of the proposed model is also better than some popular pre-trained models, such as InceptionV3 and MobileNetV2. The proposed model can also work well when implemented in mobile applications
Job analysis and employee competency mapping based on job description
Get PDFJob description is important for a company. On division APU & PPT in one of the private banks in Surabaya, there is a gap between the job descriptions written in the documents and those carried out by office holders in the field, causing office holders to feel confused in carrying out work, which affects the productivity of office holders, and there is no competency standards for each position in the APU&PPT division. The purpose of this research is to reduce the gap between written job descriptions and job descriptions in the field and to provide competency standards for each position. This research is qualitative research with a variety of case studies. The methods used to gather data in conducting job analysis are interviews, observation, and literature studies. The results of this study indicate an improvement in job descriptions and competency mapping required by each position in the APU & PPT division. The results of this study can be used by companies as job description documents and job competency standards
Implikasi Asas Proporsionalitas dalam Wanprestasi : Suatu upaya Mewujudkan Keadilan Substantif
Get PDFThe principle of proportionality is one of the important principles in civil law which is oriented to the provision of equality and equality of position in legal relations. In various civil law actions, the principle of proportionality becomes important, especially in enforcing substantive justice for the parties. This study aims to explore the meaning of the principle of proportionality in civil law while at the same time confirming the legal implications of the principle of proportionality in default cases to realize substantive justice. This research is a normative legal research. The primary legal materials in this study include: the Civil Code. Secondary legal materials include: books, research and study results, as well as journal articles related to default, substantive justice, and the principle of proportionality. Non-legal materials include language dictionaries and legal dictionaries. The results of the study confirm that the principle of proportionality in civil law means an effort to ensure proper, proper, and proportional or comparable legal relations. In addition, the principle of proportionality in civil law also has an "ideological mission" which is to seek legal relations between the parties in accordance with the ideals of Indonesian law. The implication of the principle of proportionality in default to realize substantive justice can be seen in a mutually supportive relationship, namely the principle of proportionality which has implications for the fulfillment of substantive justice for the parties
The interplay of corruption, human capital, and unemployment in Indonesia: Implications for economic development
Get PDFThis study was conducted by examining the interrelationships between Corruption, Human Resources, and Unemployment in Indonesia. We use data sourced from the World Bank and Transparency International with the period used from 1996 to 2021. This study aims to examine the relationship that exists between Corruption, Human Resources, and Unemployment so as to provide information in understanding the benefits of investing towards developing Human Resources. in order to improve the quality of society. We use Vector error Correction Model (VECM) analysis with the research variables used are Corruption, Human Capital, and Unemployment. Our conclusions indicate that corruption makes a considerable contribution to the growth and progress of the nation and its people. In light of this, we strongly advise the Indonesian government to take decisive action to tackle the issue of corruption head-on. This can be achieved through a combination of measures, such as the implementation of stricter regulations and penalties for corrupt activities, the promotion of transparency and accountability in government operations, and a significant investment in human capital development programs. By addressing the root causes of the problem, the government can create a pathway towards sustainable positive change for the nation. Furthermore, our research highlights the importance of addressing corruption With the aim of establishing a more advantageous atmosphere for the expansion of the economy and progress. It is well established that corruption can stifle innovation, undermine the
rule of law, and reduce investment. Thus, it is imperative that the government take a proactive approach to combating corruption in order to ensure that the country remains on a trajectory of progress and prosperity. In conclusion, our research provides clear evidence of the negative impact of corruption on unemployment and human capital in Indonesia. By taking decisive action to address this issue, the government can create a more favourable environment for economic growth and development while also improving the lives of its citizens. It is our desire that this study will be a useful tool for decision makers. in their efforts to create a brighter future for Indonesia
Studi Penyebab Keterlambatan Pelaksanaan Proyek Pemeliharaan Ruas Jalan Koridor Kawasan Strategis Pariwisata Nasional (KSPN) Bromo-Tengger-Semeru
No full textMerauke City is located at an altitude of 0 - 60 meters above sea level, making Merauke City included in a fairly flat lowland area. This is one of the factors that Merauke City often floods when it has entered the rainy season. This research aims to identify the causes of inundation and flooding by calculating the capacity of drainage channels, calculating the channel plan discharge with a 10-year return period in the Bambu Pemali Village area of Merauke City, and making alternative solutions to the problem of inundation and flooding in the area. This research method uses a descriptive quantitative method, which is a method of calculating and describing the results of field data processing that has been obtained from the research location. Data and information collection is obtained through surveys at the research location, and visiting places or institutions related to the research. The results of the research that has been carried out show that the causes of flooding and inundation that occur are caused by high rainfall, sea tides, and the poor drainage network system due to garbage and grass that block the flow of water, siltation of channels, and damaged floodgates in the area. Alternative solutions to handling inundation and flooding that can be done in the Bambu Pemali Village area are by repairing, maintaining, and cleaning drainage channels so that cooperation between the government and the public is needed to further increase awareness to care for the surrounding environment