11 research outputs found

    EFEKTIVITAS TINGKAT PENERIMAAN PAJAK SEBELUM DAN SESUDAH PENGGUNAAN APLIKASI PANTAS PADA BADAN PENGELOLAAN KEUANGAN DAERAH (BPKD) KOTA SUKABUMI

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    This Final Project Report was prepared by Syahda Nurkhairin, Student Identification Number 1941211032, with the title "Effectiveness of Tax Revenue Levels Before and After the Use of Appropriate Applications at the Regional Financial Management Agency (BPKD) of Sukabumi City" This report was prepared based on the results of research conducted by the author at the Sukabumi City Regional Financial Management Agency. This study aims to determine the comparison of the effectiveness of tax revenues before and after the use of the Sukabumi City Online Tax (PANTAS) application at the Sukabumi City Regional Financial Management Agency. This research uses quantitative descriptive research methods. The data used in this study are primary data and secondary data. The data collection techniques used are literature studies, observations and interviews. The results of this study concluded that: (1) The effectiveness of the use of PANTAS tax revenues was 108% in 2014, 103% in 2015, 103% in 2016, and 102% in 2017. (2) Tax effectiveness after the implementation of using PANTAS was 121% in 2018, 136% in 2019, 99% in 2020, and 94% in 2021. The average tax efficiency rate before using the PANTAS application is 104%, and the average tax efficiency level after using the PANTAS application is 113%. This shows that the use of the PANTAS application can increase the effectiveness of tax revenues at BPKD Sukabumi City

    DOES THE SERVICE TRADE OPENNESS MITIGATE REAL EXCHANGE RATE VOLATILITY?

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    This study examines the relationship between trade openness and exchange rate volatility. We use panel data of 52 countries and document trade openness has a negative and statistically significant effect on exchange rate volatility. The second explanatory variable considered in the model is money supply shock which is found to have a positive and statistically significant effect on exchange rate volatility. Our results survive battery of robustness checks

    Do Tourism-Related Sectors Drive Most of the Economy in Toba Regency? A RAS-based Regional Input-Output Analysis

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    Research Originality: This study constructs the first regional Input–Output (RIO) table for Toba Regency in 2023, utilizing the iterative RAS technique to adapt provincial coefficients to local macroeconomic data. Research Objectives: To estimate sectoral interlinkages, multiplier effects, and labor intensity for Toba Regency, and to identify strategic sectors that can drive regional economic growth and inform evidence-based policymaking. Research Methods: The 2016 North Sumatra I–O table was regionalized into a 22-sector Toba Regency table through RAS, with row and column sums adjusted to match Toba Regency GRDP by industry and expenditure. The resulting table was analyzed to calculate backward and forward linkages, output multipliers, and labor intensity. Empirical Results: The local economy is primarily driven by paper manufacturing, agriculture, and construction, while the tourism sector contributes only 6.2 percent of output and exhibits weak forward linkages. This finding suggests limited integration of tourism-related activities into the local supply chain. Electricity, business services, and agriculture emerge as growth drivers, while wage disparities persist in low-productivity service sectors. Implications: The approach can guide other subnational governments in producing localized Input–Output (I–O) tables, thereby enhancing evidence-based policymaking. JEL Classification: D57, R15, R58 How to Cite:Susanti, H., Revindo, M.D., Iskandar, S.D., Nusantoro, N., & Sabrina, S. (2025). Do Tourism-Related Sectors Drive Most of the Economy in Toba Regency? A RAS-based Regional Input-Output Analysis. Signifikan: Jurnal Ilmu Ekonomi, 14(2), 521-536. https://doi.org/10.15408/sjie.v14i2.46490

    The Impact of the U.S.-China Tariff War on Trade and Investment in Developing Countries in Disrupted Global Value Chains

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    As the world is more open and more integrated than ever, the trade war between the two largest economies, the United States (U.S.) and China, has significant and unexpected implications for multinational companies within global value chains. Since both markets are closed to each other due to the imposition of higher import tariffs, businesses have to shift their trade activities to alternative countries. Employing historical data, existing country-level data from the Global Trade Analysis Project on Value-Added (GTAP-VA), and tariffs imposed during the U.S.-China trade war, this study comprehensively examines the impacts of the trade war on global value chains, with a particular emphasis on developing countries. This study discovers that the increase in US import tariffs has a positive and statistically significant effect on the total exports of developing countries. Higher gross exports will generate higher domestic value-added (DVA) exports from developing countries, particularly those in ASEAN, as several countries compensate for reduced exports from China to the U.S. Furthermore, certain sectors or commodities are projected to benefit from the trade war, while others may experience adverse effects. The primary contributors to the increase in DVA exports are agricultural, textile, and leather products. On the other hand, high-technology manufacturing exports are likely to suffer due to the low comparative advantage of developing countries in these types of products

    APLIKASI MINYAK SEREH WANGI (CITRONELLA OIL) DALAM MENGURANGI GATAL PADA ANAK USIA PRASEKOLAH (3-5 TAHUN) DENGAN RIWAYAT PENYAKIT SKABIES DI DESA MANGKALAYA

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    Scabies is an infectious disease caused by Sarcoptes scabiei variant hominis which attacks the skin organs. It is also an infectious disease. This disease easily infects children, especially preschool children (3-5 years). This is happened due to the relatively weak immunity and increased social development of preschoolers. The symptoms that usually arise in this disease are itching and pain, and if you don't get the right treatment, it will cause a secondary infection. One method that can be used to reduce itching in sufferers is by applying citronella oil. The oil contains citronellol, geraniol, and citronellal which function as antibacterial agents. The purpose of this application is to reduce itching in sufferers and inhibit the growth of bacteria. The method used is the case study method. This application was carried out on 24 – 27 May 2023 in Mangkalaya. The author used the citronella oil on the patient's hand to help reduce itching in scabies sufferers which is done once in one visit. The author applied using citronella oil for four consecutive days. The results obtained were reduced itching and pain complaints, and improved integrity status. The authors conclude that the application of citronella oil is effective in reducing itching in scabies patients. Suggestions from the authors are to use citronella oil can be followed and applied by the community in reducing itching in scabies sufferer

    Learning Activity at SMP Muhammadiyah 5 Tulangan During Pandemic Covid 19: Kegiatan belajar SMP Muhammadiyah 5 Tulangan dimasa Pandemic Covid 19

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    The author carried out this research activity aimed to find how learning activities during the Covid 19 pandemic, especially with existence of government regulations regarding online learning. This research method uses qualitative methods and author directly conducts interviews with counseling guidance teachers. This research was conducted with object of Junior High School where the main focus of learning in junior high school in addition to learning theory, it’s important to build the character of students. Because when study in junior high school, psychologically they will naturally look for their respective identities so that their future consolidation will greatly affect how their environment is when studying in junior high school. However, how the efforts of an educational institution to optimize this and only through online media will be explained in more detail but concisely, concisely and clearly. Each school will have a certain culture that is tailored to the vision of the school. According to the results of research conducted by author,level of junior high school learners in the area, the teacher has carried out the learning as effectively and optimally as possible. The school also uses its authority wisely that offline learning activities will not start if there is no approval from the student's guardian. The focus point of developing the character of students here is regarding the foundation of the Islamic religion, although learning activities are carried out online, these values are maintained as much as possible by SMP Muhammadiyah 5 Tulangan, in accordance with institution that houses the school, religious values become a major milestone in cultivating participant character students

    The Application of The Good Corporate Governance Principle at PT. Munasindo Mandiri Sejahtera in Bunker and Agent BBM ( Fuel Oil ) Activity

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    Good Corporate Governance (GCG) is defined as a system of values that measures the ability of a company to conduct operational activities and business processes in a sound manner. By applying the five (five) basic principles of GCG: transparency, accountability, responsibility, independence, as well as equality and responsibility make these principles as the main foundation of the company in conducting its management so that it can run as best as possible. The oil fuel sector has become a crucial part of society's life today, so P.T. Munasindo Independent Welfare that moves as a BBM Agency Company focuses on improving the quality of services as well as dealing with cases of fraud on the road. Oil fuel (BBM) is a commodity that plays a vital role in all economic activities. The purpose of the author of this topic is to classify, identify scientific publications and know how the application of the basic principles of GCG to the PT. Munasindo Independent Welfare, as well as whether the implementation of the principle of gCG in PT. The normative legal method used in this research, which is descriptive with data collection techniques through library studies and supporting data is an interview with PT. Munasindo Mandiri Sejahtera. The method of data analysis used is a qualitative approach.132 PagesSkripsi Sarjan

    Efektivitas Kebijakan Program Bantuan Langsung Tunai Bagi Pelaku UMKM Di Masa Pandemi Di Kecamatan Pangkalan Kuras Kabupaten Pelalawan

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    Effectiveness is a measurement in terms of the level of achievement of predetermined goals or objectives. Effectiveness will become clearer if it has direction and goals to achieve something that is expected. The application of the meaning of effectiveness to the organization means the achievement of organizational goals in accordance with those that have been implemented through the activities that have been carried out. This study aims to see how the level of Effectiveness of Cash Direct Assistance Program Policies for MSME Actors during the Pandemic Period in Pangkalan Kuras District, Pelalawan Regency. The author refers to the theory of Sutrisno (2007:125-126) with the assessment indicators used include Program Understanding, Right on Target, Right on Time, Achievement of Goals, Real Change. This type of research is using a qualitative method that produces descriptive data. Data collection techniques in the form of observation, interviews, and documentation, while in data analysis techniques researchers used descriptive analysis. The results of the study on the Effectiveness of Cash Direct Assistance Program Policies for MSME actors in the Pandemic Period in Pangkalan Kuras District, Pelalawan Regency are categorized as Less Effective, because there are still many people who get MSME BLT but do not have a business and there are people who do not register online instead get BLT for MSME actors in Pangkalan Kuras District, Pelalawan Regency, which were distributed by the Government during the pandemic. The advice given is that the Government should carry out effective supervision again so that the goals and objectives of the BLT program are in accordance with the predetermined targets

    JantungkuSehat: Prediksi Risiko Penyakit Jantung Dengan Bayes Rules

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    Cardiovascular disease (CVD) atau penyakit jantung adalah salah satu penyakit utama penyebab kematian di seluruh dunia dibandingkan penyakit lainnya. CVD dapat mengarah ke dalam suatu kelas penyakit yang melibatkan jantung dan pembuluh darah termasuk Ischemic Heart Disease (IHD) Ischemic Stroke (IS), gagal jantung, dan masih banyak lagi masalah pembuluh darah dan jantung lainnya. Berdasarkan statistic data World Health Organization (WHO) 2019, kasus CVD sebanyak 17,9 juta kematian yang mewakili 32% data. Secara global sebanyak 17,9 juta orang meninggal pertahun karena CVD. Di Asia, CVD menyebabkan kematian sekitar 10,8 juta kematian yang mencakup sekitar 35% total kematian di Asia. Mempertimbangkan prevalensi CVD semakin meningkat maka perlu adanya mengidentifikasi faktor risiko potensial yang dapat mencegah peningkatan angka CVD. Berdasarkan hal-hal yang telah disampaikan sebelumnya, penulis meneliti mengenai risk factors CVD yang dapat mempengaruhi munculnya CVD di Asia berdasarkan kejadian CVD yang ada. Data yang dikumpulkan berupa data odds ratio (OR) dari setiap risk factors CVD yang berasal dari Asia berdasarkan dari jurnal-jurnal penelitian. Selanjutnya, data tersebut kemudian dihitung dan diprioritaskan menggunakan Pareto Principle. Risk factors yang dibahas pada Tugas Akhir ini yaitu diabetes, kebiasaan merokok (konsumsi tembakau), hipertensi, obesitas (BMI ≥25 kg/m2), high cholesterol, physical activity, dan kebiasaan meminum alkohol. Tugas Akhir ini akan disajikan dalam desain antarmuka (User Interface (UI)) yang dapat digunakan oleh pengguna (simulator) untuk mengidentifikasi berapa persentase terkena penyakit ini berdasarkan perhitungan Bayes Rules. Tampilan desain antarmuka akan disesuaikan dengan metode design thinking dan gestalt principles agar menghasilkan desain antarmuka yang baik dan mudah digunakan oleh pengguna. Penelitian ini, telah memprediksi 128 kemungkinan seseorang berisiko memiliki penyakit CVD berdasarkan tujuh faktor risiko yang berpengaruh terhadap terjadinya penyakit CVD menggunakan metode Bayes Rules yang telah disajikan melalui simulator UI storyboard. Telah dilakukan juga uji sensitivitas terhadap input odds ratio untuk melihat sejauh mana perubahan nilai tersebut memengaruhi hasil. Model dianggap stabil karena perubahan nilai OR (10%, 20%, 30%) tidak menyebabkan fluktuasi ekstrem pada hasil posterior, dan distribusi sensitivitas antar faktor risiko cukup seragam. Dilakukan pengujian terhadap dua desain yang menghasilkan desain Gestalt Principles terbukti lebih efisien dan efektif serta menarik dalam pengerjaan prediksi risiko penyakit CVD. ================================================================================================================================== Cardiovascular disease (CVD) or heart disease is one of the leading causes of death worldwide compared to other diseases. CVD encompasses a class of diseases involving the heart and blood vessels, including ischemic heart disease (IHD), ischemic stroke (IS), heart failure, and other cardiovascular issues. According to World Health Organization (WHO) statistics from 2019, there were 17.9 million CVD-related deaths, representing 32% of global mortality. Globally, 17.9 million people die annually from CVD. In Asia, CVD accounts for approximately 10.8 million deaths, representing around 35% of total deaths in the region. Considering that the prevalence of CVD is increasing, it is necessary to identify potential risk factors that can prevent an increase in CVD rates. Based on the information presented, the author aims to investigate CVD risk factors that influence its occurrence in Asia, using data from odds ratios collected from research journals. These risk factors include diabetes, smoking (tobacco consumption), hypertension, obesity (BMI ≥25 kg/m²), high cholesterol, physical activity, and alcohol consumption. This final project presented through a user interface (UI) designed as a simulator for Bayes Rules calculations, following design thinking and gestalt principles to create an effective and user-friendly interface. This final project has predicted 128 potential outcomes for CVD risk factors based on seven risk factors associated with CVD, using Bayes Rules and presented through a UI simulator. Sensitivity testing was conducted on the input odds ratio to evaluate the extent to which changes in these values affect the outcomes. The model is considered stable, as changes in the OR values (10%, 20%, 30%) did not result in extreme fluctuations in the posterior results, and the sensitivity distribution among risk factors remained relatively uniform. Testing on two design approaches revealed that the Gestalt Principles design proved to be more efficient, effective, and appealing for predicting CVD risk

    Local Budget Resilience in Times of COVID-19 Crisis: Evidence from Indonesia

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    The COVID-19 pandemic has put immense pressure on the fiscal situation. Central revenues have decelerated while expenditures had to be increased to facilitate economic recovery. Local governments faced even harder challenges as intergovernmental transfers were reduced and room for mobilizing alternative finances was limited. This paper employs qualitative and secondary data analysis on local budget and fiscal capacities at the subnational level in Indonesia to find insights into the implications and responses of the provincial government in a decentralized economy during the pandemic. Provinces with a high dependence on intergovernmental transfer are struggling to adopt a countercyclical mitigative fiscal policy. However, provinces with high local own-source revenue have suffered the most during the crisis as low economic activity reduced tax revenues and indirectly lead to lower fiscal space. As fiscal policy is critical to containing the pandemic and facilitating recovery, this paper proposes several strategies toward a more sustainable fiscal policy for rebuilding local government capacity in the medium-to-long term in the aftermath of the crisis
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