Acoustic waveguide control

Herowati W., Aji Eko Prabowo W., Akrom M., Sutojo T., Ageng Setiyanto N., Wahid Kurniawan A., Nur Hidayat N., Rustad S.

The corrosion of materials poses a significant challenge in various industries, leading to substantial economic impacts. In this context, pyrimidine compounds emerge as promising, non-toxic, cost-effective, and versatile corrosion inhibitors. However, conventional methods for identifying such inhibitors are typically time-consuming, expensive, and labor-intensive. Addressing this challenge, our study leverages machine learning (ML) to predict pyrimidine compounds corrosion inhibition efficiency (CIE). Using a quantitative structure-property relationship (QSPR) model, we compared 14 linear and 12 non-linear ML algorithms to identify the most accurate predictor of CIE. The bagging regressor model demonstrated superior performance, achieving a root mean square error (RMSE) of 5.38, a mean square error (MSE) of 28.93, a mean absolute error (MAE) of 4.23, and a mean absolute percentage error (MAPE) of 0.05 in predicting the CIE values for pyrimidine compounds. This research marks a significant advancement in corrosion science, offering a novel and efficient ML-based approach as an alternative to traditional experimental methods. It shows that machine learning can quickly and accurately determine how well organic chemical inhibitors like pyrimidine stop material corrosion. This method gives the industry a new perspective and a workable solution to a problem that has existed for a long time.
 Keywords: machine learning, corrosion inhibition, pyrimidine, QSPR model, predictive analysis

Budi S., Akrom M., Al Azies H., Sudibyo U., Sutojo T., Alfa Trisnapradika G., Nur Safitri A., Pertiwi A., Rustad S.

Historically, the exploration of corrosion inhibitor technology has relied extensively on experimental methodologies, which are inherently associated with substantial costs, prolonged durations, and significant resource utilization. However, the emergence of ML approaches has recently garnered attention as a promising avenue for investigating potential materials with corrosion inhibition properties. This study endeavors to enhance the predictive capacity of ML models by leveraging polynomial functions. Specifically, the investigation focuses on assessing the effectiveness of pyridinequinoline compounds in mitigating corrosion. Diverse ML models were systematically evaluated, integrating polynomial functions to augment their predictive capabilities. The integration of polynomial functions notably amplifies the predictive accuracy across all tested models. Notably, the SVR model emerges as the most adept, exhibiting R² of 0.936 and RMSE of 0.093. The outcomes of this inquiry underscore a significant enhancement in predictive accuracy facilitated by the incorporation of polynomial functions within ML models. The proposed SVR model stands out as a robust tool for prognosticating the corrosion inhibition potential of pyridine-quinoline compounds. This pioneering approach contributes invaluable insights into advancing machine learning methodologies geared toward designing and engineering materials with promising corrosion inhibition properties.
 Keywords: machine learning, polynomial, corrosion inhibition, pyridine-quinoline

Nugraha M., . S., Susiani S.

Although the printing technology, especially offset printing, has changed and grown quickly based on advanced invention and production capacity. However, the old offset machine printing such as one or two colour offset machines are still used massively in development countries. It is unpredictable when the old printing technology eliminated completely from the community, since it is affected by the economic level and extraordinary need of the public such as public election. The old machine which has been produced for more than 10 years usually has an issue related to the ink-water balance (iwb). The use of propylene glycol (PG) as single wetting agent improved iwb based on our previous study. Therefore, the effect of PG with fountain solution to the print quality is studied here. A series of fountain solution (FS) with additional content of 0 ppm, 13 ppm, 20 ppm, 40 ppm of PG was used to print an image on the art paper surface using sakurai offset machine. The optical parameters such as optical density (OD) and L*a*b were used to observe the effect of PG content in FS to the quality of printing. The OD on 0 ppm (reference), 13 ppm, 20 ppm and, 40 ppm of PG were 1.76 (reference), 1.83, 1.76, and 1.74, respectively. The optical density was identified as the maximum value at 1.83 on raster 100% of black colour for PG 13 ppm. At 13 ppm PG-added FS, the ΔE values of black (K) and Magenta (M) were 5.2 and 9.8, respectively, while ΔE values of cyan (C) and yellow (Y) were 1.7 and 1.8, respectively. It meant at PG 13 ppm, the K and M were stronger than the reference, while C and Y were equal. The same and lower OD compared to the reference showed unimproved color.
 Keywords: offset printing, fountain solution, propylene glycol

Arysespajayadi A., Irfan Abdullah A., Shabir F.

The research article presents the implementation of the SIMAGIN (Industrial Internship Information System) at Politeknik Negeri Media Kreatif PSDKU Makassar to address the inefficiencies in managing industrial internship activities. The system, developed using the extreme programming (XP) methodology, aims to streamline the internship process by facilitating registration, monitoring student activities, and enabling transparent information about available internship positions. The web-based system was designed to benefit students by providing efficient access to internship partner companies and enhancing the quality of their internship experiences. The research also emphasizes the use of black-box testing to ensure the system’s functionality. The study concludes that the implemented system successfully improves the industrial internship process and recommends further refinements, including the exploration of mobile applications. Overall, the research aims to significantly benefit the institution and students participating in the industrial internship program by enhancing the quality and efficiency of the internship experience.
 Keywords: technology integration, student activities, internship program

Siregar E., Irianto Nadeak S., Agustina I., Panjaitan P.

Offset printing machines play an important role in the printing process in the printing industry, so many industrial players make various efforts to maintain the quality of offset machine printouts. One of the efforts made is to keep the rollers and blankets on the offset machine clean from metal impurities that come from printing inks. To keep rollers and blankets clean, industry players usually use chemical fluids that can clean rollers and blankets on offset machines. However, the continuous use of chemical fluids can damage the rollers and blankets due to oxidation of these chemicals over time. This affects the printing results, such as the paper getting easily damaged, the blanket becoming sticky, the print being uneven, and the density becoming low. In addition, the cleaning chemicals used can cause environmental damage such as water pollution and soil pollution. This research synthesizes an eco-cleaner from an organic waste fermentation process reinforced with a catalyst that can be used as a substitute for the chemicals used today. This research aims to produce an eco-cleaner product that can reduce metal impurities on rollers and blankets to improve the printing quality of offset machines. The resulting product works effectively to remove metal impurities without damaging the rollers and blankets because the eco-cleaner is non-corrosive. The resulting products can be used by the public and the printing industry. The method used in this research is an experiment with the fermentation synthesis method. Furthermore, the eco-cleaner is tested for characterization for feasibility according to SNI standards. The tests carried out are the organic plating test, physical properties test, test and then analysis of the test results to see the feasibility of the eco-cleaner.
 Keywords: eco-cleaner, roller-blanket, printing quality, offset printing

Gusti Acfira L., Halik F., Nur R., Khadafi N.

Competition in the business world, especially in sales, requires people to aggressively increase sales volume. Therefore, various efforts were made by the company to further increase the level of sales. One of them is to provide convenience in the form of sales on credit even though it has credit risks, such as an increase in the number of Non-performing Loans. This research was carried out to produce a risk mitigation website that could facilitate companies in their efforts to prevent credit risk, in this case, Non-performing Loans at PT. Prima Kencana Fortune. This study used the research and development method involving collecting initial information, planning, initial product development, initial trials, and product revisions. This website consists of two user pages: the admin user page and the sales user page. The feasibility test results based on the convenience aspect have an average score of 3.18, with very good criteria. The attractiveness aspect received an average score of 2.73, a good criteria. For the usefulness aspect, the average score was 3.41, with very good criteria.
 Keywords: non-performing loan, credits, risk, website

Amalia Putri L., Nurrahmi H., Chu X.

This article delves into a progressive approach for enhancing English competence based on TOEFL results through the utilization of an expert system employing the forward chaining method. As a benchmark for English proficiency, TOEFL necessitates a strategic and personalized approach to address individual weaknesses. The proposed expert system analyzes TOEFL performance, identifies specific areas of improvement, and tailors learning pathways accordingly. By employing forward chaining, the system can effectively guide learners through a logical progression of targeted exercises, tailored study plans, and recommended resources to fortify identified language skill deficits. This article sheds light on how this innovative integration of technology and pedagogy can significantly bolster English language competence for TOEFL success and the overall English language proficiency.
 Keywords: expert system, forward Chaining, TOEFL

Aisyah S., Suhendra S., Saharja K., Telaumbanua F.

Hydroponic farming has been a promising alternative to traditional farming, but providing plants with proper and consistent nutrition remains challenging. The issue in the research is the inaccuracy of the nutrients provided to the plants, resulting in growth that does not meet the expectations. This study aims to develop an automated nutrition system for hydroponic farming using Arduino Uno and total dissolved solids (TDS) sensors. In conducting this research, the study began with a preliminary exploration, followed by the design and integration process. Subsequently, testing and experiments were conducted on a small scale. Preliminary studies were conducted to understand existing hydroponic practices and challenges in manually supplying nutrients. The design of an automation system with Arduino Uno and a TDS sensor is made to control nutrition automatically. Automation systems are tested and calibrated to ensure accuracy and proper response. Implementation on a small scale was done with a test group and a control group in hydroponics. Growth and yield data were collected and analyzed. The results showed that the automated system provided precise and consistent nutrition, increasing plant growth and yields compared to manual methods. This research makes a scientific contribution to developing sustainable and efficient agriculture. In conclusion, nutrition automation using Arduino Uno and TDS sensors is an effective solution to increase the efficiency and productivity of hydroponic farming.
 Keywords: hydroponics, automation, plant nutrition, Arduino Uno TDS sensor

Santoso H., Riyono D., Sriyanto W.

The increasing types of viruses and bacteria such as flu, tuberculosis or even the COVID-19 virus are quite worrying and the potential for this virus to spread is very large through product packaging, so manufacturing of virus and bacteria sterilization machines for product packaging can be a solution. Exposure to ultraviolet (UV) light type C with wavelengths below 260 nm can kill bacteria, viruses, and fungi. This research aims to create a virus and bacteria sterilization machine for packaging. The technology used is using automatic control, electric motor, conveyor, ergonomic frame, and ultraviolet (UV) light type C. This research was done by making design concepts related to machine components, making sterilization tool designs using Autocad software, and making tools to test virus sterilization machines. The creation of this machine can be an effective way to prevent the spread of viruses and bacteria that are carried and attached to the packaging during distribution.
 Keywords: Keywords: machine; sterilization; virus; bacteria; packaging; ultraviolet; UV

Junaedi J., Gusti Acfira L., Safri S., Fachria E.

Research on Forming City Branding in Jeneponto Regency with Jeneponto Gammara Video is a mapping model and becomes a communication strategy in the study of branding strategy. This research aims to explore the tourism potential of Jeneponto Regency and then City Branding “Jeneponto Gammara” as well as becoming the iconic tagline of Jeneponto Regency. The method used is a design method oriented toward video production (audiovisual) in the form of preproduction, production, and postproduction which is then used to produce city branding-forming videos. The Jeneponto Gammara City Branding Strategy is a new strategy utilizing communication technology that synergizes with marketing tourism in building Jeneponto Regency tourism in the tourism sector. The results of this study can echo the city branding of Jeneponto Regency so that it is familiar to the eyes of the Indonesian people and the tourism potential of Jeneponto Regency is clearly mapped so that the Regency’s foreign exchange can increase from the tourism sector which will have a significant positive effect on other sectors.
 Keywords: communication strategy, city branding, jeneponto gammara, tourism

Nawir S., Sakir M., Sulaiman N., . A., Novita Rizky A.

This study aims to design, manufacture, and implement virtual reality as an alternative for immersive campus socialization for SMA/SMK students in South Sulawesi. The target of this study was to assess the level of acceptance and readiness of students in SMA/SMK to use virtual reality as an alternative medium for campus outreach. This study used descriptive quantitative techniques with data sources based on direct observation and data from the online questionnaires. The main stages of the research method start from topic identification, literature study, research design, data preparation, application development, implementation of applications that have been made, data collection, analysis and interpretation of data, preparation of results reports, and dissemination. The results of this study obtained data that, of the total respondents who were examined, 71.4% of the total respondents said they had never heard of the Makassar PSDKU polymedia campus; 75% of the total respondents stated that they felt as if they were walking around the Polimedia campus; meanwhile, 78.6% of the total respondents stated that they were interested in the campus using socialization media as an alternative to using a campus virtual tour. Based on the results of the study, it was concluded that virtual reality can be recommended as an alternative media for campus outreach at Polimedia PSDKU Makassar which is immersive for SMA/SMK students.
 Keywords: virtual reality, immersive, media socialization

Sri Wahyuni A.

This article explores the utilization of public–private funding models in European universities and its implications for community empowerment initiatives, particularly University–Community Engagement (UCE) projects. A systematic literature review (SLR) was conducted using the Scopus database, screening 50 articles relating to public–private funding models in European universities. The study reveals that while public–private funding models have gained traction in the academic sphere, they primarily focus on supporting applied science research projects. In contrast, the funding of projects solely oriented toward community empowerment remains limited, with only one article addressing this potential. The findings highlight the challenges associated with employing public–private funding for UCE projects with a strong emphasis on community empowerment. Public–private funding, typically sourced from industry partners, tends to prioritize product innovations and productivity enhancements, posing a mismatch with the social justice-oriented nature of UCE. This discrepancy underscores a significant research gap in UCE and calls for innovative approaches to develop supportive funding frameworks that can effectively sustain UCE initiatives.
 Keywords: public–private funding, university–community engagement, European University

. S., Aisyah S., Lase D.

This application is designed to assist Quran memorizers or prayer leaders (Imams) in recalling their memorization. The aim of this research is to develop an Android-based Al-Qur’an assistant application with real-time voice command features. The waterfall method is used as a reference during the application development stages, including system analysis, system design using UML, implementation, and testing with blackbox testing technique. This Al-Qur’an assistant application utilizes Google Speech API to recognize user’s voice and match it with the requested surahs and verses. The result of this research is an Al-Qur’an assistant application that helps users easily search for Quranic verses through real-time voice commands. The benefits of this application include saving time and facilitating users in interacting with the Al-Qur’an.
 Keywords: voice command, Google speech API, realtime, waterfall, Al Qur’an

Stevano H. Tobing D.

This article discusses the influence of video games on the tourism industry. Video games have become a popular and rapidly growing form of entertainment worldwide. This article reveals how video games can promote tourism through immersive virtual experiences, explore fictional worlds with stunning landscapes, and showcase the culture and historical heritage of various regions different. Dubois and Gibbs proposed the theory that video games can influence tourists’ motivation to visit video gamerelated tourist attractions. Although video games have the potential to boost tourism, research shows that their effectiveness is still lower than that of cinema or print media. However, the development of video games with tourism themes offers opportunities for game developers and the tourism industry. By combining advanced technology and creativity, video games can provide educational experiences, promote tourist destinations, and create new value for players. The author offers a new framework that integrates design thinking with game design as a more effective approach in developing video games that support tourism.
 Keywords: video game, tourism, game design, design thinking

Irfan Abdullah A., . A., Shabir F., Yusuf Dahlan T.

Professionally, lecturers must continue to develop themselves in their field of expertise and regularly update their knowledge and skills, in order to provide teaching that is up-to-date and relevant to the changing times. To improve the quality of lecturers, one of the strategies is to enhance their academic qualifications. In this regard, lecturers who meet the qualifications can pursue further studies at the doctoral level. The recommending authorities can consider various factors when evaluating the performance quality of a lecturer, including age, work experience, academic achievements and performance, specialization, lecturer-to-student ratio, availability and readiness of substitute lecturers, as well as the reputation and status of the university where the lecturer applies and is accepted. In this research, the clustering of lecturer performance data is done using the K-Means method to address the aforementioned issues. This allows for faster determination of recommendations as the process is automated. The analysis and evaluation of the clustering results are conducted by determining the quality of the clustering using the Silhouette Coefficient method. This research has successfully applied the K-Means Clustering method, providing 3 clusters of recommendations for further studies for Polimedia lecturers. The testing of this system using the Silhouette Coefficient obtained an average value of 0.78, indicating that the clustering results are in good condition.
 Keywords: K-Means, evaluating, resul