International Journal of Science, Technology & Management (IJSTM)
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Department Of Management, Faculty Of Economics And Business, Unisa Palu Information Technology Towards The Effectiveness Process For Supply Chain Management
Prove the effectiveness and efficiency of supply chain management through the application of a StartUp product. The methodology used in this research is a qualitative approach, namely through participatory observation, depending on experience, case studies and other literature related to measuring the effectiveness and efficiency of Supply Chain Management through the application of a StartUp product. It seeks to integrate work in supply chain management, by implementing a StartUp product into one partnership. Cooperation that results in effectiveness and efficiency in the scope of work. The findings obtained are effective ProductStartUp and efficiency of Supply Chain Management, namely by facilitating information, logistics, making references, strategies and reducing risks as well as reducing costs and reducing the risk of reducing complaints, and increasing satisfaction. This research provides many fields, where researchers can complete additional research and develop further research agendas. Originality value - This paper provides some insight into the effectiveness and efficiency of Supply Chain Management, focusing on facilitating information, logistics, making references, strategies and reducing risks while also reducing the cost of reducing complaints, and increasing satisfaction. towards supply chain management
A Study Of Sustainable Marketing After Pandemic Era In Indonesia
The present study reports the first comprehensive study about rebuilt the business resilience is very important to achieve the rise healthcare industry especially hospital, because of their important role in the national economy. Most business organizations in Indonesia have experienced disruption caused by the covid-19 pandemic, not a few have ended up bankrupt and unable to survive. This research aims to formulate a framework for hospital marketing and business revival during and after a crisis like covid-19. The aim of this research is to analyze the influence of perceived benefits and culture in affecting clean and healthy living behaviors (PHBS) for patients, with the mediation of religiosity. This study is classified as quantitative research aimed at testing hypotheses statistically. The research subjects are drawn from 150 patients in a shariah hospital using survey research, resulting in the in-patient informant from two group of moslem hospitas group with the questionare. The research findings indicate that perceived benefits and culture, have significant impact on religiosity and PHBS. Religiosity plays a mediating role connecting perceived benefits and culture to PHBS in the shariah hospital. It is hoped in the future that hospital can restore their business conditions and be able to revive after the pandemic with the sustainable marketing
Evaluation of Voltage Profile in ETAP (Electric Transient And Analysis Program) at Ahuru Feeder 20 kV Medium Voltage Distriution
Ahuru feeder is the feeder with the longest network of all Ambon city distribution networks. So it is predicted that losses will occur in the network because the longer the distribution channel, the greater the voltage drop. Voltage drops in the network cause energy losses (losses) which need to be evaluated and anticipated whether they occur within normal and reasonable limits. So in this research an evaluation of the voltage profile of the Ahuru feeder was carried out using the power flow analysis method using ETAP 12.6.0 software. Based on the simulation results, under installed load conditions, there is a voltage drop below the PLN standard on the BusL-ERIE3 line of 18.99kV or 95% up to the end of the BusL-WAYOMAR series network of 18.907kV or 94.5% of the nominal voltage of 20 kV. Meanwhile, the base, middle and end line voltage profiles are based on simulation results, the installed load conditions produce a base voltage level of 19.77kV with a voltage drop of 1.2%, the middle of the line 19.09kV with a voltage drop of 3.3% and the end of the line 18.907kV with a voltage fell by 4.3%. Repairing the line voltage profile using capacitor banks on lines and buses that experience voltage drops, namely on BusL-ERIE3 of 2x400 kVAR, is able to improve the voltage profile at the base of the line by 19.804kV or 99%, the middle of the line 19.24kV or 96.2% and the end 19,074kV line or 95.4%
Evaluation Of Digital Banking Application Adoption Based On The Technology Acceptance Model (Tam)
In this digital era, digital banking has become an integral part of the banking sector. Users decisions to adopt and use digital banking services are significantly influenced by their perceptions and attitudes toward this technology. This research aims to analyze the factors that influence users' intention to use digital banking, utilizing the Technology Acceptance Model (TAM) as the theoretical framework. The study involves 100 respondents randomly selected through the method of random sampling. Data will be collected via an online questionnaire comprising TAM variables, including perceived usefulness and perceived ease of use. The data analysis will be conducted using the Partial Least Square Structural Equation Modeling (PLS-SEM) statistical method. The findings of this research are expected to provide a deeper insight into the factors affecting the adoption of digital banking and can serve as a guide for banks and financial service providers in enhancing the acceptance of digital banking technology among users
The Influence Of E-Service Quality, E-Trust, And Perceived Value On Customer Loyalty Through Customer Satisfaction Of Alfagift Application By Alfamart In Indonesia
The purpose of this study is to identify some significant effects of perceived value, e-trust, and e-service quality on customer loyalty through customer satisfaction of Alfagift in Indonesia. This research includes quantitative research using questionnaires data collection methods. The researcher had sent online questionnaires to 155 respondents and non probability purposive sampling was used in this study. The data analysis technique used is SEM with the Smart PLS application. The results of the statistical analysis shows that there is a significant impact of customer satisfaction with Alfagift on customer loyalty. Whereas. Alfagift's customer satisfaction is determined by factors such as perceived value, e-trust, and e-service quality that consumers experience while utilizing the program. Eventually, if the user is satisfied with the application's support, they will likely remain faithful to Alfagift. In addition, the customer loyalty of Alfagift users is significantly impacted by e-service quality, e-trust, and perceived value through customer satisfaction
Firm Value: The Mediating Effects of Capital Structure on Profitability, Size, and Asset Structure
This study aims to determine the effect of profitability, company size, and asset structure on firm value with capital structure as a mediating variable. The research method used is quantitative method using secondary data. Secondary data is obtained through the annual financial statements of healthcare sector companies that have gone public listed on the Indonesia Stock Exchange (IDX) during the 2020-2022 period totaling 33 companies. Sampling using purposive sampling and obtained 19 companies. Based on the results of partial regression analysis and path analysis, it can be concluded that profitability has a negative effect on capital structure, company size has no effect on capital structure, asset structure affects capital structure, profitability and capital structure affect firm value, company size and asset structure have no effect on firm value, capital structure is not able to mediate the relationship between profitability, company size, and asset structure on firm value.  
The Effect Of Casgot Property On The Biological Properties Of Soil In Which Cucumbers Are Planted
Soil biological properties are various aspects related to the life of microorganisms and macroorganisms in the soil and biological activities. This study aims to understand how soil organisms and their biological activities contribute to soil fertility and plant health. This study used a purposive sampling method and was analyzed using descriptive analysis. Soil biological properties, including the total number of bacteria and fungi, were observed to assess the effect of Black Soldier Fly larvae (kasgot) fertilizer application. The results showed that treatment variations had a significant effect on the population of fungi and bacteria in the rhizosphere. The highest value of the fungal population was recorded in the M1 treatment without the first treatment, while the lowest value was in the M1 treatment with the first treatment, indicating that the type and frequency of treatment can drastically affect fungal growth. For the bacterial population, the M3 treatment in the first application showed the highest effectiveness, while the M2 treatment in the second application showed the lowest results, highlighting the importance of the dose and application stage in increasing the bacterial population. Overall, this study emphasizes the importance of selecting the right treatment to optimize the soil microbial population in agricultural practices
Advanced UV Spectrophotometry-Classical Least Squares Determination of Paracetamol, Phenylpropanolamine HCl, and Chlorpheniramine Maleate in Tablet Dosage Form
This study aims to develop and validate an advanced UV spectrophotometry- Classical Least Squares (CLS) for the simultaneous determination of Paracetamol (PA), Phenylpropanolamine HCl (PH), and Chlorpheniramine Maleate (CH) in tablet dosage form. The method involves the preparation of standard solutions of the three compounds across their respective concentration ranges 3-9 µg/mL for PA, 170-512 µg/mL for PH, and 7-19 µg/mL for CH. The CLS spectrophotometry UV method was applied to these spectra to construct calibration, which were then used to predict the concentrations of PA, PH, and CH in tablet dosage form. Validation of the method demonstrated excellent linearity, precision, and accuracy, with recovery rates of 99.26% for PA, 100.06% for PH, and 99.41% for CH. Sensitivity analysis revealed Limits of Detection (LOD) of 0.10 µg/mL for PA, 1.20 µg/mL for PH, and 0.30 µg/mL for CH, and Limits of Quantification (LOQ) of 0,30 µg/mL for PA, 4.00 µg/mL for PH, and 1.50 µg/mL for CH. The method’s robustness and reliability make it an excellent choice for routine quality control of these compounds in pharmaceutical tablet formulations
Implementation of Convolutional Neural Network Algorithms to Detect the Ripeness of Palm Fruits based on Image Colors
The ripeness of oil palm fruit greatly affects the quality of the oil produced. Usually, humans manually detect the maturity of oil palm fruit, a process that can be inconsistent and time-consuming. Therefore, there is a need for automated methods that can improve accuracy and efficiency in determining the maturity of oil palm fruit. The study proposes using the Convolutional Neural Network algorithm to detect oil palm fruit maturity based on digital color images. We expect a convolutional neural network, known for its effectiveness in image analysis, to deliver accurate results in classifying fruit maturity. The aim of this study is to develop and test a model of a convolutional neural network that can classify oil palm fruit into three maturity categories: raw, ripe, and rotten. This study employs a maturity-categorized data set of oil palm images. We built and trained a convolutional neural network model using this data set. We evaluate the model performance using four main metrics: accuracy, precision, recall, and f1-score. We perform an in-depth analysis to assess model performance in each maturity category. The confusion matrix yielded an accuracy of 74.6%. The convolutional neural network model developed showed the highest precision results for the ripe fruit (86.00%), followed by rotten fruit (72.30%), and raw fruit (67.30%). We obtained the highest recalls (85.40%) for the raw fruit category, followed by ripe fruits (75.50%) and rotten fruits (72.30%
Design Of A Budget Processing Information System At Sat Reskrim Of Polres Labuhanbatu Web Based
Capital expenditures carried out by regional governments produce infrastructure in an area both for providing basic services to the community and to encourage regional governments to provide potential sources of local revenue. The Financial Report of the National Police of the Republic of Indonesia consists of a budget realization report, balance sheet, operational report, report on changes in equity and notes on the financial report as attached, which is the responsibility of the National Police which has been prepared based on an adequate internal control system. The aim of this research is to be able to design an information system for processing budget data to unit of Sat Reskrim the Polres Labuhanbatu is web-based so that it can help operational work, especially in processing financial data, to be more effective and efficien