Abstract:Dinas Komunikasi dan Informatika Provinsi Jambi masih melaksanakan proses pencatatan dan monitoring barang masuk secara manual menggunakan dokumen administrasi dan aplikasi perkantoran sederhana, sehingga menimbulkan kendala…
dala berupa kesalahan pencatatan, keterlambatan pencarian data, dan kesulitan penyusunan laporan. Penelitian ini bertujuan merancang Sistem Monitoring dan Pengelolaan Barang Masuk Berbasis Web untuk membantu proses pencatatan, monitoring, pencarian, dan pelaporan data barang masuk secara lebih efektif. Metode pengembangan yang digunakan adalah Waterfall, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan, dengan pemodelan menggunakan UML serta basis data MySQL. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu mempermudah proses pencatatan barang, mempercepat pencarian data, meningkatkan akurasi penyimpanan data, serta menyederhanakan penyusunan laporan secara otomatis.
The Communication and Informatics Office of Jambi Province still records and monitors incoming goods manually using administrative documents and basic office applications, resulting in recording errors, delayed data retrieval, and difficulties in report preparation. This study aims to design a Web-Based Monitoring and Management System for Incoming Goods to support recording, monitoring, searching, and reporting processes more effectively. The system was developed using the Waterfall method, covering requirements analysis, design, implementation, testing, and maintenance, modeled with UML and a MySQL database. The results show that the developed system simplifies the recording of goods, accelerates data search, improves data storage accuracy, and streamlines automatic report generation.
Abstract:Companies listed in the Jakarta Islamic Index 70 (JII70) provide a unique research context because they operate within an Islamic capital market framework that applies sharia screening criteria and financial requirements.…
. Despite being guided by the same sharia principles and regulatory environment, JII70 companies still show variations in financial performance. Although previous research has examined the factors that affect financial performance, empirical evidence regarding the influence of efficiency, market ratios, liquidity, and leverage still shows inconsistent results, particularly in companies that comply with sharia principles. Therefore, this study aims to analyze the influence of efficiency, market ratio, liquidity, and leverage on the financial performance of companies listed on JII70 by using Return on Assets (ROA) as a performance indicator. This study uses a quantitative approach by utilizing secondary data obtained from the annual reports of 57 non-financial companies during the period 2021–2025, resulting in 285 company-year observations. Panel data regression analysis was performed using the Fixed Effects model with Driscoll–Kraay error standard to overcome the problems of heteroscedasticity and autocorrelation. The results show that efficiency measured by Total Asset Turnover (TATO) and market ratio measured by Price-to-Book Value (PBV) have a positive and significant effect on financial performance. Meanwhile, liquidity measured by Current Ratio (CR) and leverage measured by Debt-to-Asset Ratio (DAR) have a positive but not statistically significant effect on financial performance. The findings of this study support the Signaling Theory by showing that efficiency and market ratio provide stronger signals regarding company quality and financial performance in the context of the Islamic capital market in Indonesia. These findings provide practical implications for managers in improving company performance as well as for investors in making more informed investment decisions
Abstract:Penelitian ini dilatarbelakangi oleh masih ditemukannya berbagai kesalahan siswa dalam menyelesaikan soal matematika, khususnya pada materi Teorema Pythagoras. Penelitian ini bertujuan untuk menganalisis jenis-jenis kesalahan…
lahan siswa dalam mengerjakan soal Teorema Pythagoras berdasarkan Teori Nolting. Jenis penelitian yang digunakan adalah deskriptif kualitatif dengan subjek siswa kelas VIII SMP Budi Murni 4 Medan. Instrumen penelitian berupa tes uraian berbentuk soal kontekstual sebanyak empat butir serta pedoman wawancara untuk memperkuat data hasil tes. Analisis data dilakukan dengan mengklasifikasikan kesalahan siswa ke dalam kategori Careless Errors, Concept Errors, Application Errors, dan Test Taking Errors sesuai Teori Nolting.Hasil penelitian menunjukkan bahwa kesalahan yang paling dominan dilakukan siswa adalah Concept Errors, yaitu kesalahan dalam memahami konsep dasar Teorema Pythagoras, terutama dalam mengklasifikasikan jenis segitiga. Selain itu, ditemukan pula Careless Errors berupa kecerobohan dalam penulisan, Application Errors berupa ketidakmampuan menerapkan rumus, serta Test Taking Errors berupa tidak dituliskannya jawaban akhir meskipun proses sudah benar.Berdasarkan temuan tersebut, disimpulkan bahwa kesalahan siswa dipengaruhi oleh lemahnya pemahaman konsep, rendahnya keterampilan penerapan rumus, serta kurangnya ketelitian. Oleh karena itu, guru disarankan untuk memperkuat pemahaman konsep, memberikan latihan soal kontekstual yang bervariasi, serta membiasakan siswa melakukan pemeriksaan kembali terhadap jawabannya.
Abstract:This study examines the effects of the Dow Jones Industrial Average (DJIA), world gold prices, world oil prices, and the rupiah exchange rate on the Composite Stock Price Index (CSPI) in Indonesia. The study uses monthly…
secondary data from January 2015 to December 2025, comprising 132 observations. CSPI data were obtained from the Indonesia Stock Exchange, DJIA, gold price, and oil price data were obtained from Investing.com, while exchange rate data were sourced from Bank Indonesia. The analysis employed the two-step Engle-Granger Error Correction Model (EG-ECM) to identify long-run relationships and short-run adjustment dynamics. The long-run results show that gold prices, world oil prices, and the DJIA have positive and significant effects on the CSPI, whereas the rupiah exchange rate has a negative but insignificant effect. In the short run, the exchange rate has a negative and significant effect on the CSPI, while gold prices, oil prices, and the DJIA have positive and significant effects. The Error Correction Term coefficient of -0.1325 is negative and significant, indicating that approximately 13.25% of short-run disequilibrium is corrected each month toward long-run equilibrium. These findings imply that investors and policymakers should closely monitor global market conditions, commodity price movements, and exchange rate volatility to support investment decisions and maintain Indonesian capital market stability
Abstract:This study aims to analyze the influence of packing machine automation on operator productivity in the facial tissue industry by considering the role of moderation, technical competence and operator workload perception.…
The method used is Systematic Literature Review (SLR) by reviewing scientific articles published in the 2020–2026 range from reputable databases such as Scopus. The selection process was carried out using the PRISMA approach through the identification, screening, eligibility, and inclusion stages, resulting in a number of articles relevant to the topics of industrial automation, labor productivity, technical competence, and workload. The results of the study show that the implementation of packing machine automation in general has a positive impact on increasing operator productivity through time efficiency, quality consistency, and reduction of manual errors. Nevertheless, the effectiveness of automation is highly dependent on the level of technical competence of the operator, especially in the operation, maintenance and troubleshooting of the machine. In addition, workload perception has also been shown to moderate the relationship, where automation can lower physical workloads but potentially increase mental workloads due to the demands of automated system supervision. Other findings suggest that an imbalance between automation levels and human resource readiness can hinder productivity optimization. Conceptually, this study confirms that the relationship between packing machine automation and operator productivity is not linear, but is influenced by individual and psychological factors. The practical implications of this study are the importance of technical competency-based training as well as adaptive workload management in supporting the successful implementation of automation in the manufacturing industry. This research contributes to the development of an integrative model that connects technology, people, and operational performance in the context of the tissue processing industry.
Abstract:Inflation is a fundamental measure of macroeconomic stability that negatively impacts the nation's economy and affects many other macroeconomic variables. Thus, in this study, the major objective was based on modeling and…
d forecasting inflation in Ethiopia and its components using a VAR model. The analysis was based on annual data from 1992 to 2021, encompassing 30 years. The results indicated that all five series were non-stationary at the level but stationary after their first differencing at a 5% level of significance. Johansen's cointegration tests were conducted. The results indicated the presence of at least one co-integration relationship between the variables. The Vector Error Correction Model (VECM) was fitted to model short run and long run relationships among inflation and other macro-econometric series such as GDP growth, government expenditure, money supply, and imports, and the result indicated that the coefficient of error correction term is negative (-0.279), which indicated that the fitted VECM model continues to move toward long run equilibrium and converges. Granger causality tests were employed to explore potential causal relationships. Impulse response analysis and variance decomposition were used to determine the short-run interactions among the variables. Finally, using the fitted model, out-of-sample forecasts were produced, yielding forecasted plots and values for the endogenous variables. According to the forecasted inflation rates for the next five years, prices are projected to decrease by approximately 18.0% in 2022, 6.8% in 2023, and then increase by approximately 8.3% in 2024. Subsequently, prices are expected to decrease by approximately 2% in 2025 and 5% in 2026 over the specified time periods.
Abstract:This study aims to determine the effect of electronic word of mouth and price on purchasing decisions for Big Bananas in Makassar City partially and simultaneously. The population in this study are followers of the Big Bananas…
ananas Instagram account, totaling 78,182 users as of November 2022. The sample used is based on the slovin formula with an error rate of 10%, namely 100 respondents. The sampling withdrawal technique is systematic random sampling. Data collection techniques were carried out using questionnaires, literature studies and interviews. The data analysis technique used is multiple regression analysis using SPSS 22.00 for windows. The results showed that electronic word of mouth and price had a positive and significant effect on purchasing decisions for Big Bananas in Makassar City.
Abstract:The purpose of this study is to analyze the effect of the Federal Funds Rate before and during the Covid-19 pandemic on economic stability in five developing countries in the Southeast Asian region which are members of an…
n economic and geopolitical organization, namely the Association of Southeast Nations (ASEAN) to see short-term relationships. and long-term during that period. The indicators of economic stability used are the benchmark interest rate for deposits, the reference interest rate for loans, the balance of payments which includes exports and imports, inflation, exchange rates, and the money supply. In this study, the method used was the quantitative method and the data obtained was secondary data sourced from International Financial Statistics (IFS) from January 2015 to December 2022 which used the Vector Error Correction Model (VECM) approach in the Eviews 9 application. The results found indicated that in the long run, the existence of FFR volatility has a positive effect on the Deposit and Export Reference Rates. While those that have a negative effect are Loan Reference Rates, Imports, Exchange Rate Inflation, and Money Supply. In the short term, the existence of the FFR interest rate has a positive effect on the Reference Rates for Deposits, Imports, and Inflation. While those that have a negative effect are Loan Reference Rates, Exports, Exchange Rates, and Money Supply
Abstract:This study aims to determine the effect of competence on employee performance at the Education and Culture Office of Enrekang Regency. The independent variable in this study is employee competency, while the dependent variable…
riable is employee performance. This type of research is quantitative research. The number of respondents used in this study were 30 people. The data analysis technique used in this study is simple linear regression analysis using SPSS 13.00 for windows. The results of this study were obtained from the t test showing a significant influence between the two variables with a sig probability. of 0.009 where this value is much smaller than 0.05. This means that competence has a significant influence on employee performance. Because the significant value is smaller than the error rate (0.05). The conclusion is that employee competence has a positive and significant effect on employee performance at the Education and Culture Office of Enrekang Regency.
Abstract:This study aims to determine the effect of product quality on customer satisfaction at the KFC pettarani branch in Makassar. The independent variable in this study is product quality, while the dependent variable is customer…
omer satisfaction. The population in this study is the customer of KFC Pettarani Makassar City, amounting to 43,000 customers per month, while the sample used is based on the Slovin formula with an error rate of 10%, namely 100 respondents. Withdrawal sampling technique is non-probability sampling with the technique taken is accidental sampling technique. Data was collected using a questionnaire. The data analysis technique used is simple linear regression analysis using SPSS 25.00 for windows. Based on simple linear regression analysis, the results obtained are product quality which affects customer satisfaction. The influence given is positive and significant. The positive direction given by the product quality variable (independent) can be seen from the regression equation as follows: Y = 1.663 + 0.310X. This shows that product quality has a positive and significant effect on customer satisfaction.