This study aims to design, create, and assess an electronic market at the Marine and Fisheries Agency of Central Tapanuli Regency as a means to improve the economy of coastal towns. The main objective is to increase market access, product value, and income of coastal communities in the marine and fisheries sector. This R&D system development process uses the Waterfall approach, with the System Usability Scale (SUS) method used to assess user satisfaction. The system was developed using the Laravel framework, CSS, Figma, and MySQL. Suggestions for the long-term development of this e-marketplace include collaboration, local adaptation, and user education.
 
Keywords: E-marketplace, Coastal economy, System Usability Scale (SUS).

The research is titled "Implementation of 3D Visualization on the Tourist Attraction of Jam Gadang Bukittinggi with Android-Based Virtual Reality Concept." The main issue addressed in this study is the physical limitation faced by visitors who seek to understand the spatial conditions and information about the Jam Gadang building, resulting in suboptimal services. Consequently, visitors to Jam Gadang must obtain a special permit from the Tourism Office of Bukittinggi to access and ascend the building to its summit. Therefore, an Android-based Virtual Reality application is needed to allow users to comprehend the spatial conditions and information by virtually entering and ascending the Jam Gadang building without the need to be physically present. Information will be presented in the form of panels within the virtual environment, accompanied by a narrated voice.

The influence of service quality on customer satisfaction is very large. Criticism and suggestions from customers are a must for researchers because they can measure customer satisfaction. The higher the positive response and rating, the ideally it is a sign that customers are satisfied with the service they receive. Quantitative research methods are defined as part of a series of systematic investigations of phenomena by collecting data to then be measured using mathematical or computational statistical techniques. Meanwhile, quantitative relies on questionnaires as a technique for obtaining research data. The questionnaire will be distributed by the researcher to a group of people who are considered capable of representing the problem and can answer the research questions. 1. With the large number of patients undergoing examinations at the Ngaliyan Community Health Center, it is necessary to add more seating to the waiting room so that patients can be more comfortable. 2. Arrange the registration waiting room and medicine collection waiting room so that they can be separated. In the long term, additional space is needed. 3. It is necessary to improve the service process for patients so that the process is faster and more timely.

Electric vehicles are starting to be widely used among conventional vehicles. The use of a motor as a driver is a very important component for electric vehicles. The battery current and voltage supplied to the motor will determine the performance of the electric vehicle. Based on the analysis of current and voltage measurement results, it can be concluded that (1) the power requirements using the Brusshes Direct Current (BDC) motor type are greater, (2) Electric vehicles are more efficient when using the Brusshes Less Direct Current (BLDC) motor type.

Automotive developments in Indonesia have been proven to be able to advance the Indonesian economy. This is proven by the fact that this sector is able to contribute around Rp. 99.16 Trillion. PT Astra Honda Motor (AHM) is one of the companies operating in the automotive sector that is successful in this marketing. The success achieved will certainly be related to the network, patterns, and culture of organizational communication carried out. This is because, with the formation of networks, organizational communication patterns, and culture, cooperation will increase to achieve its goals. The aim of this research is to analyze the network, patterns, and culture of organizational communication at PT Astra Motor Honda (AHM) Majalengka. The research method used is qualitative with primary and secondary data collection techniques, by conducting a Focus Group Discussion (FGD) to interpret the findings obtained. The results of this research show that AHM Majalengka has an organizational communication network and pattern, which can be seen in the communication network having several characteristics such as opinion leaders, bridges, and gatekeepers. The Organizational Communication Pattern has 2 (two) patterns, namely the Chain Communication Pattern which is found from the Main Director to the Director to the HRD Manager, while the Y Organizational Communication Pattern is found in the HRD Manager to several divisions such as Psychologist, Marketing, Account & ADM Manager, Operational Division, and Recruitment Division.

This research aims to analyze the portrait of the Indonesian public economy with a focus on the secondary crops, plantations, forestry, livestock and fisheries sectors. This study uses a descriptive analytical approach to identify the contribution of each sector to the national economy, the challenges faced, and the potential for future development. Data was obtained from various national statistical sources, government reports, and relevant academic literature. The results of the analysis show that these sectors have an important role in providing employment opportunities, increasing regional income, and contributing to national GDP. Secondary crops and plantations, for example, show high potential for economic diversification and food security. The forestry sector, despite facing the challenges of deforestation and climate change, remains significant in providing industrial raw materials and environmental conservation. Livestock and fisheries also play an important role in meeting people's protein needs and supporting food security. However, these various sectors face challenges such as lack of infrastructure, limited market access, and policies that are not yet optimal. This study suggests the need for a more integrated and sustainable development strategy to maximize the contribution of these sectors to the Indonesian economy.

Perguruan Tinggi merupakan sebuah lembaga pendidikan dimana didalamnya mempunyai tugas dalam pelayanan akademik. Kepuasan mahasiswa dalam memperoleh pelayanan akademik  merupakan hal yang sangat penting dalam menilai sebuah Perguruan Tinggi. Tujuan dari penelitian ini adalah agar dapat mengetahui bagaimana tingkat kepuasan mahasiswa program studi Teknik Informatika dalam hal memperoleh pengajaran oleh dosen, mengenai sarana dan prasarananya. Metode klasifikasi dan prediksi yang digunakan pada penelitian ini diambil dari salah satu model Decision Tree yaitu algoritma C4.5. Algoritma C4.5 berfungsi untuk mengekspolari data, menemukan hubungan tersembunyi antara sejumlah calon variabel input dengan sebuah variabel target. Hasil pengukuran yang didapat adalah nilai akurasi sebesar 94,23%. Nilai recall dari setiap kelas sebesar 94,12% untuk kelas Ya dan 100% untuk kelas Tidak. Sedangkan nilai presisi setiap kelas adalah sebesar 100% untuk kelas Ya dan 25% untuk kelas Tidak.

This comprehensive review delves into the realm of green corrosion inhibitors for iron alloys, focusing on a thorough exploration guided by data-driven investigation, density functional theory (DFT) simulations, and experimental validation. Harnessing the potential of plant extracts, this study scrutinizes their effectiveness in mitigating corrosion in iron alloys through a multi-faceted approach. By integrating computational modeling with empirical experimentation, a deeper understanding of the inhibitive mechanisms is achieved, offering insights into their practical application. The review synthesizes findings from diverse studies, elucidating the pivotal role of DFT in predicting inhibitor behavior and optimizing their performance. Furthermore, experimental validation provides crucial validation of theoretical predictions, highlighting the synergistic relationship between simulation and real-world application. Through this journey of exploration, the review underscores the promise of green corrosion inhibitors derived from natural sources, paving the way for sustainable corrosion control practices in the realm of iron alloys.

This study investigates machine learning-based quantitative structure-property relationship (QSPR) models for predicting the thermal stability of zinc metal-organic frameworks (Zn-MOF). Utilizing a dataset comprising 151 Zn-MOF compounds with relevant molecular descriptors, ridge (R) and kernel ridge (KR) regression models were developed and evaluated. The results demonstrate that the R model outperforms the KR model in terms of prediction accuracy, with the R model exhibiting exceptional performance (R² = 0.999, RMSE = 0.0022). While achieving high accuracy, opportunities for further improvement exist through hyperparameter optimization and exploration of polynomial functions. This research underscores the potential of ML-based QSPR models in predicting the thermal stability of Zn-MOF compounds and highlights avenues for future investigation to enhance model accuracy and applicability in materials science.

The purpose of this study is to use quantitative structure-property relationship (QSPR)-based machine learning (ML) to examine the corrosion inhibition capabilities of benzimidazole compounds. The primary difficulty in ML development is creating a model with a high degree of precision so that the predictions are correct and pertinent to the material's actual attributes. We assess the comparison between the extra trees regressor (EXT) as an ensemble model and the decision tree regressor (DT) as a basic model. It was discovered that the EXT model had better predictive performance in predicting the corrosion inhibition performance of benzimidazole compounds based on the coefficient of determination (R2) and root mean square error (RMSE) metrics compared DT model. This method provides a fresh viewpoint on the capacity of ML models to forecast potent corrosion inhibitors.