Developed Method Research Articles

Implementasi Metode CRM (Customer Relationship Management) pada Sistem Informasi Website Nadu Screen Printing

This research aims to implement the CRM (customer relationship management) method on the Nadu Screen Printing website information system which is useful for simplifying customer orders and processing customer databases. This research uses the Agile software development method. The evaluation results with the System Usability Scale (SUS) show that this system meets the standards with a final score reaching 86.5 in the "Acceptable" category with a grade scale of "A" and a rating of "Best Imaginable".

Evaluation of MENAQUINONE‐7 and fat‐soluble vitamin production by starter cultures during fermentation in dairy products using RPLC method

AbstractVitamin K2, also known as menaquinone, has become a significant research focus, particularly in fermented products. This study aims to investigate the content of menaquinone‐7 (MK‐7), an essential form of vitamin K, and other fat‐soluble vitamins (A, D, E) during the fermentation of various fermented milk products. The vitamin contents of six fermented milk products were analyzed: two yogurt samples (produced with commercial starter and probiotic starter), two kefir samples (produced with commercial starter and kefir grain), and milk fermented with Lactobacillus acidophilus or Bifidobacterium bifidum. Throughout the fermentation process, continuous pH monitoring was conducted, and fermentation was terminated based on pH levels. Fat‐soluble vitamins and vitamins K1, K2 were extracted from samples taken at specific fermentation periods and quantitatively determined using the reverse phase liquid chromatography (RPLC) method. The developed method was validated according to ICH guidelines. Simultaneously, the microbial content of the samples was analyzed. Among the fermented dairy products analyzed, the highest MK‐7 content (4.82 μg/100 g) was found in the kefir sample produced with kefir grain (KG). The diverse microorganisms in kefir grains necessitated detailed research to explain their role in this complex mechanism. In yogurt samples, the presence of L. acidophilus in the YB sample suggests that this bacterium may be responsible for the observed differences. This is supported by the LA sample, where production with L. acidophilus strain showed an increase from 0.97 to 1.70 at the 20th hour of fermentation. It was noted that the concentration of menaquinone‐7 increased throughout the fermentation period. Given the critical health effects of essential fat‐soluble vitamins and MKs, determining their content in commonly consumed fermented dairy products and understanding the influence of starter cultures, which are potential probiotics, on vitamin production underscores the importance of this research. It is important to highlight the potential of fermented products in nutritional recommendations.

Enhancing Analytical Potential for Ultratrace Analysis of Inorganic Oxyanions Using Extraction Procedures with Layered Double Hydroxides

This article provides an overview of the use of layered double hydroxides (LDHs) as effective sorbents in various extraction methods, including column-based solid-phase extraction (SPE), dispersive solid-phase extraction (DSPE), and magnetic solid-phase extraction (MSPE), for the separation and preconcentration of inorganic oxyanions of chromium, arsenic, and selenium. The primary focus is on enhancing the analytical performance of spectrometric detection techniques, particularly in terms of sensitivity and selectivity when analyzing low concentrations of target analytes in complex matrices. LDHs, which can be readily prepared and structurally modified with various substances, offer promising potential for the development of novel analytical methods. When used in analytical extraction procedures and following careful optimization of experimental conditions, the developed methods have yielded satisfactory results, as documented by studies reviewed in this paper. This review is intended to assist analytical chemists in scientific laboratories involved in developing new extraction procedures.

Development and Validation of Trace Level Quantification of Nine Azido Genotoxic Impurities in Losartan Potassium Active Pharmaceutical Ingredients by Liquid Chromatography‐Tandem Mass Spectrometry

ABSTRACTThe objective of the study is to develop a sensitive and simple liquid chromatography‐tandem mass spectrometry for the determination of nine azido impurities in Losartan potassium active pharmaceutical ingredients. An advanced analytical method should be developed to determine these nine Azido impurities at 0.5 ppm level. Currently, no such method is reported to control these impurities in losartan potassium drug substance. The nine impurities separation was achieved using Hypersil ODS stationary phase with gradient elution and mobile phase of 0.1 M ammonium acetate as mobile phase A and methanol as mobile phase B. The developed method was found to be sensitive to the limit of detection and limit of quantitation levels as per the International Council for Harmonization M7 guidelines. The method was linear from 0.5 ppm to 15 ppm for all nine azido impurities. This is a single method for the simultaneous determination of all azido impurities in the presence of losartan potassium drug substance at 0.5 ppm and the same method used in the quality control laboratory for sample analysis.

Systematic Literature Review on Knowledge-Driven Approaches for Construction Safety Analysis and Accident Prevention

Due to its inherent complexities in the process and the dynamic interactions with external environmental factors, the construction industry is widely considered one of the most hazardous industries worldwide. With advancements in artificial intelligence (AI), construction safety management practices have increasingly used knowledge-driven approaches. Such incorporation of knowledge-based methods has led to significant improvements in various elements of construction safety management systems, including hazard identification and risk assessment, selection of risk mitigation strategies, analysis of accident information, sharing of health and safety knowledge, access to regulations, and identification of applicable safety requirements. Against this background, this paper presents a systematic literature review to provide an overview of the current state of the art in the use of knowledge-driven approaches in construction safety management. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedure, this study reviews how the knowledge-driven approach is utilized in the construction safety management field to automate different activities that come under it. Journal papers published from 2000 were considered for this review, and the analysis focused on the contributions of research, the evolution of knowledge-driven approaches, sources of incorporated knowledge, methods of system development, yearly publications, and publication by journals. The results provide a comparison of related studies over two decades and offer insights into trends and gaps in this research field. Notably, the trend analysis shows a dramatic increase in the number, as well as the depth, of research efforts utilizing AI techniques for analyzing unstructured data, such as construction images and texts from construction documents, and drawing data-based decisions for accident prevention.

Mobile Platform for Building Applications at the Integrated Services Office Medan City

The advancement of computer technology has developed rapidly and has been applied in various aspects of life. At that time, computers were considered one of the most efficient tools in supporting technological development. At the Office of Investment and One-Stop Integrated Services (OI-OIS) in Medan City, the process of applying for Building Permits (BP) was still conducted manually and had not been computerized, resulting in slow and inefficient licensing processes. Applicants were required to fill out forms manually and deliver physical documents to the village and sub-district offices, which extended processing times. Furthermore, application reports were often piled up, hindering prompt and accurate handling. The lack of efficiency in managing applicant data further exacerbated the situation and slowed down the completion of applications. Therefore, an integrated digital system was needed to expedite and facilitate the submission and management of IMB applications. This research aimed to develop an Android-based Information System for Building Permit Applications at DPMPTSP in Medan City using the R&D (Research and Development) method. It was hoped that this application would make it easier for staff to manage IMB application data. The research results indicated that the development of the Android-based Information System for Building Permit Applications successfully addressed the issues encountered in the previously manual IMB application process. This application expedited and simplified the filling out and submission of applications, eliminating the need for applicants to deliver physical documents. Additionally, the management of applicant data became more efficient and computerized, reducing the backlog of reports and speeding up the verification process.

Development of Online-Based Learning Media with Massive Open Online Courses Method on Instructor Methodology Competency in the Directorate of Competency Standardization and Training Programs, Ministry of Manpower of the Republic of Indonesia

This study aims for Vocational and Productivity Training Centers throughout Indonesia to implement the development of online-based learning media with the MOOC method on instructor methodology competency. This study integrates the Borg and Gall development method with ADDIE Learning Design. Data analysis uses qualitative and quantitative descriptive analysis. The results shown are the feasibility assessment by media experts obtained a score of 99.13%. The feasibility assessment by design experts obtained a score of 61.67% and the feasibility assessment by material experts obtained a score of 88.04%. Based on this assessment, it is considered feasible to use. The response of participants in the small group test was considered feasible with a score of 79.63%. In the large group trial, a score of 92.42% was shown which was categorized as very feasible. The effectiveness test was assessed by the test according to Donald Kick Patrick, namely the reaction level and learning level, the reaction level was tested with a cut-off point where the value was 96%, it can be seen that the value is above the cut-off point so that it can be categorized as very satisfied, thus the reaction test of this product is very effective. The learning level is calculated by looking at the significance between the values before and after the trial, the results show that the significance value is less than the specified value, which is at 0.001 <0.05 significance value so that there is a significant difference, thus this learning media can be categorized as effective.

Bifunctional MoO3-x/CuS Heterojunction Nanozyme-Driven "Turn-On" SERS Signal for the Sensitive Detection of Cerebral Infarction Biomarker S100B.

The use of nanozymes has become a promising auxiliary approach to "turn on" surface-enhanced Raman scattering (SERS) signals for the label-free detection of disease markers. Nevertheless, there are still major challenges to develop bifunctional nanomaterials with both excellent enzyme-like activity and high SERS performance. To this end, a novel Z-scheme MoO3-x/CuS heterojunction was first constructed as a powerful "two-in-one" substrate, which can not only catalyze leucomalachite green (LMG) to SERS-active malachite green (MG) but also serve as an efficient substrate to amplify the SERS signal of catalysate. Due to the strong interfacial coupling effect between the MoO3-x and CuS nanomaterial, which promoted the separation and transport of carriers in the heterojunction, the MoO3-x/CuS heterojunction showed higher peroxidase-like activity compared to individual components and the previously reported heterojunction nanozymes. Inspired by these results, a sandwich-type SERS immunoassay for the detection of the cerebral infarction biomarker S100 calcium-binding protein (S100B) was proposed based on the output signal of MG at 1620 cm-1. Furthermore, introducing the antifouling material chitosan on the surface of the MoO3-x/CuS heterojunction can effectively resist nonspecific protein adsorption and significantly improve the detection accuracy of the immunoassay. Therefore, the SERS immunoassay based on the MoO3-x/CuS heterojunction realized highly sensitive and selective detection of S100B in the concentration range of 0.001 to 100 ng/mL, with a low limit of detection of 0.47 pg/mL. The developed method has been successfully used for the accurate detection of S100B in clinical serum. The results showed that the level of S100B in the serum of cerebral infarction patients can be distinguished from those of healthy individuals and intracranial tumor patient controls. In addition, the acquired values of S100B in the serum of cerebral infarction patients based this strategy were well consistent with the results of electrochemiluminescence (ECL) detection with a relative error of less than ±7.3. It is expected that this work may open up a paradigm for improving detection sensitivity and accuracy for the early diagnosis and treatment monitoring of cerebral infarction in the clinic.

Pengembangan Media Pembelajaran Teachmint pada Mata Pelajaran Korespondensi Kelas X Manajemen Perkantoran di SMK Tunas Pembangunan

This research aims to: (1) develop Teachmint learning media in the subject of Correspondence, (2) to obtain feasibility information from Teachmint learning media in the subject of Correspondence class X of Office Management at SMK Tunas Pembangunan. The type of research used is research and development (RnD) using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development method. This research took place at SMK Tunas Pembangunan which was carried out from May 2024 to July 2024. The data collection technique was collected by interviews with teachers of SMK Tunas Pembangunan. The feasibility of learning media is assessed by media experts and material experts. Data analysis was carried out by qualitative and quantitative analysis. Based on the research that has been carried out, Teachmint learning media on the subject of Correspondence has been developed. The results of expert validation are known that Teachmint learning media in the subject of Correspondence class X Office Management at SMK Tunas Pembangunan is very feasible to use with an average validation score of 86.3% for media experts with the category of "very feasible" as a learning medium. The average validation score of material experts is 97% with the category of "very feasible" as a learning media.

Development of Domino Card Media in IPAS to Improve Learning Outcomes Students of SD Negeri Patemon 02 Gunung Pati District, Semarang City

One of the most important elements in educational activities is the learning media. But in practice, only a few teachers are able to take advantage of the learning media that exist today, this has an impact on student learning outcomes. Therefore, the purpose of this study was to develop domino cards as a learning media teaching science in elementary schools. This research uses the Research and Development method with the model used. namely Borg and Gall. This study involved teachers and 20 students in grade V of SD Negeri Patemon 02. Domino learning media was designed to meet the needs of teachers and students through documentation, interviews, observations, and questionnaires. The study results show the percentage of level of eligibility of domino card media by material and media experts with a percentage of 95% and 93% respectively with very feasible criteria. The pretest and posttest results show that domino card learning media improves student learning outcomes, with an n-gain value of 0.55 and moderate criteria. This shows that domino card learning media is effective for improving student learning outcomes science learning outcomes in learning grade V students of SD Negeri Patemon 02 human respiratory system material.

Improving Critical Thinking Skills of Elementary Students Through Science Learning with Interactive Teaching Materials and Problem Based Learning

This study aims to evaluate the effectiveness of interactive multimedia-based learning with Problem Based Learning (PBL) model in improving critical thinking skills of elementary school students in Natural and Social Sciences subjects. This research uses a development method with quantitative and qualitative approaches. The results of validation from the aspects of material, media, and language showed high ratings, and the product was declared practical by teachers and students. Students were actively involved in learning, and the results of statistical analysis showed significant differences between the control group and the experimental group in learning activities. This shows that this method is effective in improving students' critical thinking skills. Nonetheless, this study has limitations in terms of generalization of the results. Future research is expected to expand the scope of the study and consider additional factors for the development of more effective learning methods.

Development of Learning Media Using the Articulate Storyline Application in Integrated Thematic Learning

This research is motivated by the conventional nature of learning that takes place in the classroom, that is, it is still teacher-centered, not student-centered. This research aims to produce learning media using the Articulate Storyline application in integrated thematic learning that is valid, practical and effective to improve student learning outcomes in class III elementary schools. This research uses research and development (R&D) methods with the ADDIE development model which has five stages, namely Analysis, Design, Development, Implementation, Evaluation. At the analysis stage, observations and interviews were carried out with teachers and students in elementary schools, at the design stage a learning media was designed according to the data and facts obtained. At the development stage of the learning media that has been designed, validation is carried out to find out whether the product is valid for application. Validation is carried out in three stages: first, validation by five validators who are experts in their respective fields with an overall average result of 88 with a very valid category. The results obtained after evaluating the practicality test of the teacher response questionnaire obtained an average score of 91 in the very practical category, and the student response questionnaire obtained an average score of 90 which was in the very practical category. In the effectiveness test, the learning results obtained an average value of 89 in the effective category and for the N-Gain Score an average value of 0.74 was obtained with a percentage of 74, including the effective category. Based on the results of validity, practicality and effectiveness tests, it can be concluded that the learning media using the Articulate Storyline Application in thematic learning is a valid, practical and effective learning media.

Exploring Integrated Learning with Local Wisdom: Sendang Made Ecosystem E-book to Train Critical Thinking Skills for Class X High School Students

This research focuses on developing an integrated e-book that incorporates Sendang Made local wisdom into ecosystem material to enhance high school students' critical thinking skills. The study addresses the challenge of limited teaching materials due to the shortage of teachers capable of preparing suitable content for 21st-century learning, which emphasizes critical thinking and technology use. The Research and Development (R&D) method was employed using the ADDIE framework, encompassing analysis, design, development, implementation, and evaluation stages.nData was collected through validation by two biology lecturers, material experts, and media experts, as well as a readability test. The e-book received high validation scores: 3.73 for presentation, 3.73 for content appropriateness, and 3.54 for language appropriateness. The readability test indicated a level 10, aligning with the cognitive level of grade X high school students, and was categorized as very positive and appropriate. In conclusion, the integrated e-book is highly feasible and valid for enhancing critical thinking skills in grade X high school students, making it an effective tool for 21st-century learning.

Implementing Dynamic Systems Development Method for a Web-Based System to Evaluate Child Health and Growth

The Simpang Gambir UPTD Community Health Center has developed an innovative digital system to monitor the growth of toddlers. Previously, the recording of toddler growth data was done manually, often leading to data loss or damage. This new system is designed to address these issues and provide a more efficient and accurate solution. The system not only facilitates health center staff and posyandu cadres in monitoring toddler development but also assists them in creating digital growth reports. With this system, toddler growth data can be accessed quickly and easily, facilitating decision-making regarding child health management. One of the key features of this system is its ability to track toddler growth based on weight-for-age charts. This feature allows health workers to easily identify toddlers with nutritional problems and promptly provide necessary interventions. Additionally, the system is equipped with a fast data search feature, enabling staff to easily find specific toddler growth data. The development of this system utilizes the Dynamic System Development Method (DSDM), allowing for a structured and efficient development process. With this method, the system can be developed rapidly and in accordance with user needs.

Method Validation for the Determination of Ciprofloxacin in Lucilia sericata Larvae via Capillary Electrophoresis Combined With Mass Spectrometry.

Substances derived from insects can serve therapeutic functions due to their diverse biological properties. This article focuses on the species Lucilia sericata and the benefits of larval therapy in patients who, due to hospitalization, have developed pressure ulcers and other difficult-to-heal wounds. Larval therapy, also known as maggot debridement therapy, employs sterile fly larvae to treat chronic, non-healing wounds by enzymatically degrading necrotic tissue and decreasing bacterial colonization. The larvae are applied to the wound for a period of 48-72h, during which they effectively clean the wound and stimulate tissue regeneration. This therapeutic approach is particularly efficacious for recalcitrant wounds, such as diabetic foot ulcers and pressure sores, which have not responded to conventional treatments. Larvae may also constitute an alternative material in entomotoxicological studies to detect substances ingested at not only toxic but also therapeutic doses. The present work describes a method for assaying ciprofloxacin in L. sericata larvae using capillary electrophoresis coupled to mass spectrometry. The developed method features high sensitivity with a limit of quantification of 100±0.018ng/mL, as well as accuracy and precision estimated within 87%-103% and 1%-4%, respectively. An application of a simple and fast precipitation of proteins procedure for sample cleaning resulted in a highly satisfactory recovery of the analyte (90%-104%). The method was linear in a range of 100-1000ng/mL with a determination coefficient higher than 0.9973. The method was used to determine ciprofloxacin in larval homogenate after antibiotic administration to the patient at a dose of 500mg twice daily per os during application of the larvae dressing. Ciprofloxacin was shown to distribute from the patient's circulation to the larvae at a concentration of 150ng/mL (750ng/g).

A Chebyshev Generated Block Method for Directly Solving Nonlinear and Ill-posed Fourth-Order ODEs

This study presents a block method induced by Chebyshev polynomials of first kind for directly solving initial value problems of fourth-order ordinary differential equations without reducing the problems to a system of first-order differential equations. The method was developed by applying interpolation and collocation procedures to a Chebyshev approximate polynomial. The unknown parameters were obtained using the Gaussian elimination method, then substituted into the approximate solution to get the continuous scheme and evaluated at the selected point to give the discrete scheme. The method was zero stable, consistent, and convergent, p-stable as shown by the region of absolute stability and has an order of seven. The accuracy and usability of the developed method were tested by applying it to solve six numerical examples. The method was found to be efficient as it gives minimal error. The numerical results of the method were compared with other works cited in the literature and found to be better as it gives minor errors.

Rancangan Sistem Profil Desa Sei Rotan Berbasis Website

In Sei Rotan Village, the village profile data processing process is carried out manually. The process of processing village profiles like this can result in unsafe storage of village profiles. So the researcher designed a website-based sei rattan village profile system, In this design there is a system design and a system interface design, the programming language used in this system is the php programming language and for the database is stored in MySQL Xampp. This research aims to design a profile system for Sei Rotan Villages, so that the data processed or input is stored safely. This research was conducted in Sei Rotan Village, Percut Sei Tuan District. The method used in this research is a qualitative method with data collection techniques through literature studies and observations. For the system development method, the researcher uses prototype. Judging from the above problems, there is a solution to overcome it so that the data before it is processed insecurely becomes safe and can be applied to the design of the village profile system of sei rattan. With this study, can conclude that the design of the village profile system made by the researcher is very helpful for Sei Rotan Village to access the village profile system quickly and safely in data storage.

Scientifc Validation and Chromatographic Method Development for the Estimation of Piperine in Herbal Formulation Babbularishta: A Quality Control Strategy for Critical Quality Attributes

Background: Babbularishta is an Ayurvedic medicine in liquid form used for the treatment of phthisis, skin diseases, urinary disorders,, and breathing problems. It is also beneficial in cases of blood disorders, acne, dermatitis, hemoptysis, lung injury, asthma, persistent cough, whooping cough, etc. Objective: The functional role of this study is to develop a simple, novel, precise, accurate, reliable, and selective RP-HPLC method for the estimation of piperine content in herbal drug formulations (Babbularista). Methods: A traditional approach to method development could fail to meet the desired separation. Consideration of the current regulatory requirement for analytical method development and RP-HPLC method for routine analysis of piperine in the herbal formulation has been optimized using an analytical Quality by Design (QbD) approach. Three laboratory formulations and three marketed preparations of Babularishta were investigated for organoleptic parameters, physicochemical parameters, and validation. The mobile phase composition (methanol and water % as A), pH (B), and flow rate (mL/min as C) were selected as independent variable,. In contrast, retention time (min. as Y2), area (AU as Y1) is selected as dependent variables. Results: The fingerprinting method was developed and optimized by using the AQbD approach. Piperine content was found to be in Piper nigrum (Marica) 3.01±0.01527 % w/w and in Piper longum (Pipali) 2.74±0.01154% w/w in Babbularista. Conclusion: An attempt has been made to develop quality control parameters of Babbularista by developing a suitable and sensitive HPLC methods for the quantitation of piperine in herbal drug formulations (Babbularista). The developed method was found to be simple, accurate, precise,, and economical for the estimation of piperine in herbal formulations.

Isolation of Methane from Ambient Water and Preparation for Source-Diagnostic Natural Abundance Radiocarbon Analysis.

A key challenge in climate change research is apportioning the greenhouse gas methane (CH4) between various natural and anthropogenic sources. Isotopic source fingerprinting of CH4 releases, particularly with radiocarbon analysis, is a promising approach. Here, we establish an analytical protocol for preparing CH4 from seawater and other aqueous matrices for high-precision natural abundance radiocarbon measurement. Methane is stripped from water in the optionally field-operated system (STRIPS), followed by shore-based purification and conversion to carbon dioxide (CO2) in the CH4 Isotope Preparation System (CHIPS) to allow Accelerator Mass Spectrometry analysis. The blank (±1σ) of the combined STRIPS and CHIPS is low (0.67 ± 0.12 μg C), allowing natural sample sizes down to 10 μg C-CH4 (i.e., 30 L samples of 40 nM CH4). The full-system yield is >90% for both CH4-spiked seawater and ambient samples from CH4 hotspots in the Baltic Sea and the Arctic Ocean. Furthermore, the radiocarbon isotope signal of CH4 remains constant through the multistage processing in the STRIPS and the CHIPS. The developed method thus allows for in-field sampling and sample size reduction followed by precise and CH4-specific radiocarbon analysis. This enables powerful source apportionment of CH4 emitted from aquatic systems from the tropics to the polar regions.

From microplastics to pixels: testing the robustness of two machine learning approaches for automated, Nile red-based marine microplastic identification.

Despite the urgent need for accurate and robust observations of microplastics in the marine environment to assess current and future environmental risks, existing procedures remain labour-intensive, especially for smaller-sized microplastics. In addition to this, microplastic analysis faces challenges due to environmental weathering, impacting the reliability of research relying on pristine plastics. This study addresses these knowledge gaps by testing the robustness of two automated analysis techniques which combine machine learning algorithms with fluorescent colouration of Nile red (NR)-stained particles. Heterogeneously shaped uncoloured microplastics of various polymers-polyethylene (PE), polyethylene terephthalate (PET), polypropylene (PP), polystyrene (PS), and polyvinyl chloride (PVC)-ranging from 100 to 1000µm in size and weathered under semi-controlled surface and deep-sea conditions, were stained with NR and imaged using fluorescence stereomicroscopy. This study assessed and compared the accuracy of decision tree (DT) and random forest (RF) models in detecting and identifying these weathered plastics. Additionally, their analysis time and model complexity were evaluated, as well as the lower size limit (2-4µm) and the interoperability of the approach. Decision tree and RF models were comparably accurate in detecting and identifying pristine plastic polymers (both > 90%). For the detection of weathered microplastics, both yielded sufficiently high accuracies (> 77%), although only RF models were reliable for polymer identification (> 70%), except for PET particles. The RF models showed an accuracy > 90% for particle predictions based on 12-30 pixels, which translated to microplastics sized < 10µm. Although the RF classifier did not produce consistent results across different labs, the inherent flexibility of the method allows for its swift adaptation and optimisation, ensuring the possibility to fine-tune the method to specific research goals through customised datasets, thereby strengthening its robustness. The developed method is particularly relevant due to its ability to accurately analyse microplasticsweathered under various marine conditions, as well as ecotoxicologically relevant microplastic sizes, making it highly applicable to real-world environmental samples.