Developed Method Research Articles

Implementation of MVC in Food Ordering Application on Android Operating System Platform Case Study of RZ Rumah Barokah

In the era of advancing technology, computer devices and their applications have become an integral part of daily life. Mobile computing, such as Tablet PCs and Smartphones, is increasingly dominant, with Android being one of the primary platforms chosen for application development due to its ease of use and flexibility. Android has penetrated various sectors, including the culinary industry, contributing significantly to business development and marketing. The food business in Indonesia continues to thrive with increasing consumer demand, yet faces challenges with intensifying competition. Amidst these challenges, business owners must actively seek strategies to expand market reach and consider external and internal factors affecting business development. RZ Rumah Barokah, as one of the home-based food businesses in Kota Prabumulih, is also confronted with these challenges. The business produces specialty foods as regional souvenirs but faces constraints in reaching a wider market. To address this issue, the development of an online sales system using information technology becomes a solution. By leveraging a website-based application, it is hoped that RZ Rumah Barokah can expand its marketing and promotional reach. The development method using Model View Controller (MVC) is expected to help separate logic, presentation, and processes efficiently in system development.

Implementation of the Prototype Method in Design E-Commerce New World Distro Store

Distro is a place to sell clothes that is currently favored by many people. Both children and adults. This distribution itself has various types of clothing for children and adults. New World distribution provides various types of clothing such as shirts, pants, jackets, hoodies, and others. The transaction process on distros is still done manually by coming directly to the store, for that it would be better if the distro had a website as a place to sell and promote. Researchers will use the Prototype method as a development method that will be used when designing and building applications, while the research method that will be used is a descriptive method through a qualitative approach. Researchers collected data through direct observation, interviews and literature study. The design tools in this study will use the Unified Modeling Language (UML), namely, use case diagrams, class diagrams, and activity diagrams.

Implementation of MVC (Model View Controller) Method Development of Web-Based Administrative Applications in the Office of Muara Sungai Village Prabumulih City

The village administration system is a website-based application that is important for village, including admins is carrying out village administration sevices which have a very important role in the government managing. All communities need to reiceve good village administration services. Data from this researcher was obtained based on interviews, direct observation at the muara sungai village office. The development method used is rad (rapid application development) which consists of requiretmens planning, design implementation processes. The language used is PhpMySql, a database operation that allows data selection or data entry, which can be done easily and automatically.

Information System for Processing Data of Swallow's Nests at Father Jimris's Swallow House Prabumulih City

Father jimris' swallow house is a rolling business in the dragon-pineapple industry located in the village of the prabumutown. The date-processing process in the Mr. Jimris' home is still done by hand, causing employees or old employees to do work, and this research is aimed at creating an application or a swallow's nest data processing system using PHP programming languages and mysql as databases. The development method used is rads (rapid aplication development) consisting of need planning, design and application processes. The results of this study are expected to make it easier for employees to process and access data and be able to make data processing more effective and efficient

Development of the headspace gas chromatography-tandem mass spectrometry method for ethylene oxide and ethylene chlorohydrin residue in medical devices.

Ethylene oxide (EO) sterilization is commonly employed for the sterilization of medical devices and has a very high market share. However, EO and its metabolite ethylene chlorohydrin (ECH) are toxic to humans. In compliance with the classification and residue limits of medical devices defined by ISO 10993-7, our study established two extraction methods for the testing of EO and ECH. The first method involves simulated-use extraction using water as the extraction solvent. While the second, exhaustive extraction, directly extracts sample through headspace sampling analysis. Gas chromatography-tandem mass spectrometry in multiple reaction monitoring mode was utilized, requiring only 16 min. Then, the developed method was applied to assess 10 commercially available medical devices sterilized by EO. In simulated-use extraction, calibration curves were evaluated in the range of 1-100 and 5-500 μg for EO and ECH, respectively (r > 0.999). Inter-day recoveries ranged from 85.0% to 95.2% and from 94.8% to 102.4%. In exhaustive extraction, calibration curves spanned 0.5-50 and 2-200 μg for EO and ECH, respectively (r > 0.999). Inter-day recoveries ranged from 101.6% to 102.1% for EO and from 98.1% to 102.2% for ECH. After analysis of the 10 commercially available medical devices, two cotton swabs were found to have ECH of 35.1 and 28.4μg per device, and four medical devices were found to have EO with concentration below the limit of quantification. Meanwhile, we found that the EO internal standard (propylene oxide) recommended by ISO 10993-7 had interference problems with other similar substances and was not suitable as an internal standard for EO. This study offers a sensitive and straightforward analytical approach to EO and ECH residues in a variety of medical devices. In addition, the results show that the EO or ECH content of these types of medical devices in our study falls below the regulatory limits, therefore instilling confidence among consumers regarding their safe use.

Evaluating the impact of coal seam roof groundwater using variable weights theory: A special emphasis on skylight-type water inrush pattern

Study regionThis study is based in the rapidly developing large-scale coal base located in Northwest China. Study focusThis study focuses on addressing a critical yet overlooked aspect of large-scale coal resource development in arid regions: the impact on coal seam roof groundwater. Recognizing the paramount importance of safeguarding groundwater resources for sustainable mining practices, the research introduces a novel concept of “skylight-type secondary water inrush pattern” and develops a comprehensive evaluation methodology to quantify its extent. New hydrological insights for the regionThe study presents groundbreaking hydrological insights into the behavior of groundwater systems impacted by coal mining in arid regions. It reveals that secondary water inrush pattern, a phenomenon driven by hydrodynamics, extends beyond the immediate mechanical footprint of mining, posing significant challenges for groundwater resource management. This research underscores the importance of considering not just the structural alterations to aquifers but also the broader hydrological consequences of mining activities. By integrating multivariate geological information with a variable weights theory, the developed evaluation method provides a nuanced understanding of how mining alters groundwater abundance and flow patterns. These new insights challenge traditional approaches and offer a scientific basis for designing effective strategies to mitigate water damage, manage mine groundwater, and promote sustainable mining practices in arid environments.

Design Of a Web-Based School Operational Assistance (Bos) Management Information System at SMA Negeri 1 Nggaha Ori Angu

The management of School Operational Assistance (BOS) funds is an annual obligation for educational institutions. The Treasurer is responsible for this activity, which is overseen by the Principal. However, at SMA Negeri 1 Nggaha Ori Angu, the School Operational Assistance (BOS) fund management system is still conducted using a physical ledger. This process has encountered several challenges, including the difficulty in calculating the total funds managed and the lack of efficiency in managing the School Operational Assistance (BOS) funds. The process of utilising the ledger currently results in the unnecessary expenditure of time and effort, in addition to a considerable risk of errors and inaccuracies in the recorded data. In light of the challenges encountered in the management of School Operational Assistance (BOS) funds at SMA Negeri 1 Nggaha Ori Angu, this research aims to develop an Information System for the Management of School Operational Assistance Funds (BOS) using the Rapid Application Development (RAD) method. The web development in this research will employ the Hypertext Preprocessor (PHP) programming language with the CodeIgniter framework, which implements the Model-View-Control (MVC) concept. This technology has the potential to optimize and enhance the quality of School Operational Assistance (BOS) fund management at SMA Negeri 1 Nggaha Ori Angu.

Web-Based Congregation Data Management Information System at Sumba Christian Church Kanjonga Bakul

The rapid development of technology in the current era of globalization has provided many benefits in progress in various social aspects. Every action we take today is closely related to the use of technology, especially in the field of computerization and the internet. Data Management of the Sumba Christian Church (SCC) / Gereja Kristen Sumba (GKS) Kanjonga Bakul Congregation is one of the activities that must be carried out by the church every year, this activity is carried out by BPMJ officers or administrators and monitored by pastors. However, in GKS Kanjonga basket, the system for GKS Jamaat Data Management is still carried out by each congregation assembly to collect data conventionally by collecting photocopies of Family Cards and collecting data directly at each congregation house to recap back to the physical ledger. This process experienced various obstacles, including the difficulty in recapitulating the entire data managed, as well as the lack of efficiency in managing the data of the GKS Congregation. This conventional process leads to a waste of time and effort that should not be happening today, as well as a high risk of errors and inaccuracies in the recorded data. From the problem of data management of the GKS congregation in Kanjonga Bakul, this research will develop an Information System for the Management of Data of the Sumba Christian Church using the Rapid Application Development (RAD) method. The web development in this study will use the Hypertext Preprocessor (PHP) programming language with the CodeIgniter framework that implements the Model-View-Control (MVC) concept. This technology can optimize and improve the quality of data management of GKS congregations in Kanjonga Bakul.

Design and Implementation Of Restful Api Using Oauth 2.0 Authentication In Laravel Framework On Marketplace (Case Study: CV. Marvelindo Utama)

CV Marvelindo Utama is an electronics company that sells data packages and other internet-related products, with distribution warehouses and branch outlets across various regions. The company's challenge lies in its manual marketing through WhatsApp. This research aims to address this issue by designing a Supply Chain Management system for the marketplace using REST API and Oauth 2.0 authentication to ensure data security. The Extreme Programming (XP) application development method is used to expedite the development process. This research is expected to help CV Marvelindo Utama face modern technological challenges and improve operational efficiency. Testing results using blackbox and unit testing indicate that the system meets the requirements, with blackbox testing achieving a 100% success rate and unit testing yielding positive results.

Development, Validation and Application of a Fast Sequential Method for Na, K, Ca and Mg Determination in Hemodialysis Solutions by HR-CS F AAS.

Hemodialysis solutions are liquid concentrates used during hemodialysis sessions. They are commonly used as a renal replacement therapy. This study aimed to develop a method to determine Na, K, Ca and Mg in hemodialysis solutions by high-resolution continuum source flame atomic absorption spectrometry (HR-CS F AAS) using Design of Experiments (DOE). The combination of the Doehlert Matrix with the desirability function was used to establish a compromise condition in the optimization of the significant variables studied: 60 L/h for acetylene flow rate, 8 mm for burner height, 0.25% (w/v) and 0.60% (w/v) for Cs and La concentrations. The method was validated by following the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines and parameters such as the selectivity, linearity, precision, accuracy and robustness were evaluated. Calibration curves with the ranges of 25-130 mg/L for Na, 1.0-5.0 mg/L for K and Ca, and 0.30-0.70 mg/L for Mg were employed. The method proved to be precise (RSD lower than 2.7%) and accurate (mean recovery data, contemplating the three levels added were: 103.0% for Na, 100.5% for K, 101.3% for Ca and 101.5% for Mg). The developed method enables the sequential multielement determination of Na, K, Ca and Mg in a single run. Requiring only one dilution step, this method significantly reduces analysis time for both sample and standard solutions preparation and measurement. This study presents the first method reported in the literature for multielement determination in hemodialysis solutions, offering an alternative approach to the current European Pharmacopeia method.

Towards high throughput analysis using 96-well plate solid phase extraction to determine sedatives and β-blocker residues in food control monitoring

BackgroundVeterinary drugs are widely used in animal production to prevent infections and treat diseases but, this may cause a risk to consumers. Due to the high number of food samples required to monitor yearly, simple, fast, sensitive and selective analytical methods are needed in control laboratories to ensure consumers safety. Nevertheless, many analytical methodologies available in these laboratories include multiple steps and therefore are time-consuming and hinder the analysis throughput requiring significant amounts of solvents and reagents. ResultsThis work developed a 96-well plate solid phase extraction (SPE) method for the extraction of seven sedatives and a β-blocker in animal kidney by ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC−MS/MS). The developed method was validated based on Implementing Regulation (EU) 2021/808 in kidney, meat and fish. The performance characteristics of the validation (1–5 μg kg−1) showed good linearity (R2 > 0.998) while decision limits (CCα) were between 1 and 1.2 μg kg−1. Trueness and precision were determined at three levels (n = 7) and the results showed values ranging from 85 to 103 % and from 1 to 9 %, respectively. The feasibility of the method was demonstrated for the residue control requirement established by EU. Method was applied to 201 samples of kidney, meat and fish. SignificanceThis study is the first to present an optimized and validated holistic method for sedatives and β-blocker using 96-well plate SPE and UHPLC−MS/MS. The method showed good performance in kidney, meat and fish samples being an universal method for any species along the same type of sample. The fast, easy, efficient, reliable and universal method showed high throughput and so reduced the analysis time by nine-fold and the required solvent amount by four times fulfilling the green chemistry principals.

Thermosensitive polymer assisted metal–organic framework for the determination of phenoxy carboxylic acid herbicides in environmental water samples

A simple and efficient method for the determination of five phenoxy carboxylic acid herbicides (PCAs) in environmental water samples was developed based on thermosensitive polymer assisted metal–organic framework as the adsorbent for micro-solid phase extraction. Under the optimized working conditions, the linearity was in the concentration ranges of 5–300 μg L−1 with a determination coefficient higher than 0.9980, respectively. The limits of detection and limits of quantification were in the range of 0.34–0.55 μg L−1 and 1.13–1.83 μg L−1, respectively. The intra-day and inter-day precision were in the range of 0.7–3.4 % and 2.6–3.5 %, respectively. The method was applied successfully to analyze PCAs in environmental water samples. The satisfactory relative recoveries (92.7 %–117.8 %) for the spiked samples in environmental water samples were achieved which demonstrated the proposed method has a potential application for the trace determination of PCAs from complex matrix. Besides, the developed method is proved to be simple, environmentally friendly and inexpensive.

A Liquid Chromatography‐Tandem Mass Spectrometry Bioanalytical Method Development and Validation for the Determination of Pacritinib in Plasma

ABSTRACTThe primary objective of the current work is to establish and verify an accurate and linear liquid chromatography‐electrospray ionization‐tandem mass spectrometry procedure for quantifying Pacritinib. An effective chromatographic resolution was obtained using the Hypersil Gold (50 × 4.6 mm, 2.1 µm) C18 column. The mobile phase is a mixture of methanol, 0.1% formic acid, and acetonitrile in the proportion of 20:15:65 (%v/v/v). The procedure involved closely monitoring executed ionic transitions of m/z 473.1/376.2 for Pacritinib and 584.26/101.1 for Brigatinib internal standard in multiple reaction monitoring mode. A strong correlation value (r2) of 0.9997 is associated with the linear plot regression line, which can be represented as y = 0.0001x − 0.0008. The relative standard deviation (RSD) results for the matrix effect were 3.63% and 3.57%, respectively, when the quality control (QC) level was low and high, respectively. Over the course of the study, the percentage average recoveries for Pacritinib were found to be 103.27% in high QC, 97.59% in medium QC, and 94.28% in low QC, respectively. The values that were obtained for the QC samples (0.378, 1.058, 7.56, and 11.34 µg/mL) varied from 2.00% to 4.03%. The developed method was useful for evaluating Pacritinib in biological samples for the purposes of QC, forensics, and bioavailability investigations for individuals.

Determination of the rigidity of the geomagnetic cutoff and simulation of the motion of particles in the Earth’s magnetosphere

A method for determination of the geomagnetic cutoff rigidity is presented. The method is based on the tracing of charged particles in the Earth’s magnetic field using Buneman-Boris’ particle-in-cell method. The results of the verification of the method are presented: in particular, a comparison with theoretical calculations in an ideal dipolar field and with previous calculations made under the real field condition. The developed method has shown a high reliability proven by the replication of the known effects. In the dipolar approximation, it has shown high accuracy in comparison with the theoretical calculations. Typical pattern of geomagnetic cutoff penumbra is also reproduced.

Protecting Drawings at Production and Regime Facilities Using Neural Network Technology and DLP Systems

The existing methods of object image processing are analyzed. Problems of using the considered methods within the framework of DLP systems are considered. A new object image processing method was presented that allows processing of complex images. A metric of accuracy and completeness of plagiarism image detection was used to evaluate the quality of the developed method. Testing was carried out using image ranking to analyze the ability of the model to search for semantics. Comparative testing was carried out with the method based on raster neural models. The advantages and disadvantages of the developed method were highlighted, as well as options for further developmentAs a result of this work, a method for processing object images in native format has been developed. The main advantage of the developed method is the high rate of accuracy (87 %) and completeness (100 %). This study can be useful for further research in the field of vector image analysis. Also, the developed method can be applied as a tool similarly to raster methods of image processing (image search, classification, search for objects in the image).

Sensitive determination of volatile nitrosamines with ambient pressure ammonium-adduct ionization mass spectrometry.

In recent years, the control of volatile N-nitrosamines (NAs) has been of interest in the pharmaceutical and food industries, as many of these compounds are probable human carcinogens. Thus, rapid and trace-level quantitative determination methods are in urgent demand. In this work, ambient pressure ammonium-adduct ionization mass spectrometry was proposed for the sensitive detection of volatile nitrosamines in various pharmaceutical headspaces. The ammonium ions produced through electrospray ionization acted as reactant ions for NAs to generate ammonium-NA adduct ions and underwent in-source collision-induced dissociation to produce protonated NAs, which were detected by mass spectrometry. The ionization selectivity and sensitivity for various volatile NAs were improved significantly using the developed method, which was demonstrated by the limit of quantification (LOQ) below 52ng L-1 for all NAs, and the quantitative performance was consequently improved. Different NAs exhibited almost equimolar response using NH4+ as the reactant ion, with at least a twofold enhancement in intensity for the individual compounds relative to when using H+ as the reactant ion. The proposed method is a rapid, sensitive, and environmentally economical approach that uses few reagents.

Educators’ experiences of using mobile learning as a professional development and knowledge retention tool during the Covid-19 pandemic

This qualitative study intentionally gathered insights from 12 educators of varying seniority across three schools in the Nkangala Education District, Mpumalanga Province, South Africa, regarding their experiences with mobile learning (facilitated through Microsoft Teams and WhatsApp Messenger) as a professional development and knowledge retention tool during the Covid-19 pandemic. The findings, derived from semi-structured interviews and document analysis, indicated that young educators positively embraced the implementation of Microsoft Teams and WhatsApp Messenger. Senior educators deemed WhatsApp Messenger less intimidating than Microsoft Teams, thereby endorsing it as the preferred medium for professional growth and knowledge retention. This led to a lack of incentive among senior educators to participate in the professional learning events facilitated by Microsoft Teams. Thus, they depended on the supplemental learning information disseminated via WhatsApp Messenger as the principal method for professional development and knowledge retention activities. The research identified multiple obstacles to utilising mobile learning for professional development and knowledge retention, specifically: insufficient ICT skills among senior educators, ineffective content facilitation by subject advisors, and inadequate communication and scheduling of professional development programs. The study advocated for a systematic coordination of: 1) a series of ICT skills training for underqualified educators; 2) peer teaching among novice, mid-career, and senior educators to address internal skills deficiencies; 3) effective communication among the district, circuits, and schools; and 4) skills audits for subject advisors to enhance competency in areas of deficiency. By presenting these recommendations, the report alerts schools, circuits, and districts to the likelihood that the Covid-19-induced adoption of hybrid professional development will become the standard practice.

E-Module Innovation: A Product-Based Approach to Database Practicum

<span lang="EN-US">This research aims to develop a product-based e-module for database practice in the Software Engineering (RPL) program at SMK Negeri 1 Sintuk Toboh Gadang. The Research and Development (R&D) method using the 4D model (Define, Design, Develop, Disseminate) was employed, involving 23 students as subjects. The study resulted in a valid, practical, and effective e-module that aligns with curriculum demands and fosters students' creativity. Validation tests demonstrated high validity and reliability across content, presentation, and format aspects. Practicality tests yielded a Reproducibility Coefficient (Kr) of 0.98 and a Scalability Coefficient (Ks) of 0.95, confirming the e-module's usability. The effectiveness of the e-module was evidenced by significant improvements in student learning outcomes, with an N-Gain score of 0.73, indicating high effectiveness. The findings suggest that the product-based e-module is a valuable tool for enhancing practical learning in database subjects, promoting independent and creative learning among students</span>

Digital Transformation in the Music Industry: Session Musicians Matchmaking Platform Effectiveness Analysis

The music industry has been through a significant digital transformation in recent years, with one interesting development being the rise of matchmaking platforms for session musicians. Despite their potential benefits, the effectiveness and impact of these platforms on the music industry are not well studied. Therefore, this study aims to analyze the effectiveness of session musician matchmaking platforms and their implications for the music industry. Leveraging the architecture capabilities of The Open Group Architecture Framework (TOGAF), specifically the Architecture Development Method (ADM), all the participants with their current processes and pain points are identified. The identified pain points are then validated using the empathy map method through an online questionnaire. From the identified pain points, values are developed as the main targets for pain relievers in the current situation, which are later evaluated against existing platforms of a similar nature. After comprehensive research and data analysis, several key insights emerged. First, the findings reveal that, under the current traditional model, the collaboration process between session musicians and music entertainment continues to function effectively. Second, there is enthusiasm among participants for platforms that offer solutions to common challenges faced in collaboration processes. However, the research data shows low levels of adoption and utilization among participants. This suggests there is a huge opportunity for the development and promotion of matchmaking platforms designed specifically for session musicians and music entertainment to enhance collaboration and improve the music industry.

KAWANKULINER: PERSONALISED FOOD RECOMMENDATION APP USING BMR AND TDEE FOR OPTIMAL DAILY NUTRITION

People often have difficulty in determining the type of food that is suitable for the composition of their body. This is due to the many types of food available, as well as the lack of information about the nutritional content of each type of food. By fulfilling the daily calorie and macro-nutrient needs required by the body, its metabolism can be maintained, preventing various health problems such as malnutrition. Based on the results of the Basic Health Research in 2018 malnutrition is one of the most serious problems in Indonesia. Several studies related to calculating calorie estimates using the BMR approach with the utilization of technology have been conducted.However, these studies were limited to only displaying the amount of daily calorie needs that were not accompanied by what foods were needed to meet these daily needs. The purpose of this research is to build an app to help individuals understand their daily calorie needs based on their Basal Metabolic Rate (BMR) and total daily expenditure energy (TDEE), using smart scale to provide body composition information and spoonacular API to provide food recommendations that match their energy needs and give them recipes on how to make their food meanwhile waterfall model is used as a software development method. The test results show that the app meets the functional and usability requirements well, with a high accuracy rate of 99.86% for calories, protein, fat, and carbohydrates. In terms of user response, 13 respondents had a very positive response, and considered the app useful for making it easier to get information about their calorie and macro-nutrient needs, as well as provide food recommendations based on their daily needs.