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Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 322 Documents
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Implementation of the Advanced Encryption Standard 128 Algorithm in the Web-Based Management Information System Sinaga, Setia Handayani; Kainde, Quido Conferti; Rorimpandey, Gladly Caren
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2622

Abstract

The manual management of student dormitory administration at Manado State University presents several challenges, particularly related to record accuracy, service effectiveness, and information protection. This research focuses on the development of a web-based dormitory management information system using the Advanced Encryption Standard (AES) 128-bit algorithm as a data security mechanism, particularly for payment documents. The research method used is a prototype model, which includes communication, rapid planning, modeling, prototype development, and testing. The system is implemented using PHP and MySQL, with the integration of AES-128 encryption in the payment receipt upload feature to ensure data confidentiality. The results of black-box testing show that all system functions run according to user requirements. The implementation of AES-128 has been proven to maintain the security of sensitive data and increase user trust in the system. Key features provided include user registration, room reservations, payments, facility reporting, and notifications, while administrators are given full access rights to manage resident and room data, as well as encrypt and decrypt important information. Overall, this research produces a system that not only improves the efficiency and effectiveness of dormitory management but also strengthens data security aspects. The developed system has the potential for further enhancement through mobile application integration and the implementation of an automated payment system to be more responsive to user needs. Cryptography is a field of science that utilizes mathematical techniques to ensure data and information security, including authentication, integrity, and validity
Implementation K-Means Algorithm in Promotional Media Destination Tour Minahasa Web Based Moningkey, Efraim; Rantung, Vivi Peggie; Surbakti, Peliks Andreas
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2659

Abstract

Minahasa Regency has great tourism potential with a variety of destinations including cultural, natural, and man-made tourism. However, tourism promotion efforts still face obstacles due to the lack of integrated media capable of grouping destination information based on tourist interests and preferences. This study aims to apply the K-Means clustering algorithm in web-based promotional media to group Minahasa tourist destinations based on the level of user interaction, which is represented by the number of likes and comments on promotional content for each destination. The research method is carried out through several stages, namely collecting tourist destination data, pre-processing interaction data, implementing the K-Means algorithm with a specified number of clusters of three according to the main categories of tourismcultural, natural, and man-made), and implementing the clustering results into a web-based evaluation system that uses the Silhouette Coefficient to evaluate the quality of cluster formation. The results show that the K-Means algorithm is able to effectively group tourist destinations into three clusters that reflect the level of popularity, making it easier for users to find destination recommendations according to their interests. Implementation in a web-based system also provides an interactive display in the form of a list of destinations per cluster and recommendations for popular destinations. Thus, this study proves that the application of K-Means can increase the effectiveness of Minahasa tourism promotion, and in the future it can be developed with the integration of real-time data from social media and comparison with other clustering algorithms.
Sentiment Analysis of the Song Lost - Bring Me the Horizon Based on Reviews on YouTube Using the SVM Algorithm Moningkey, Efraim; Sombo, Wanki Dwi Warsun
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2685

Abstract

Bring Me The Horizon's song "Lost" received a wide response on YouTube, evident in the thousands of comments containing a variety of responses ranging from support and criticism to neutral opinions. The rapid development of social media has made it easier for people to freely share their views and experiences on musical works without being bound by space and time. YouTube, as one of the largest video-sharing platforms, plays a crucial role in documenting public perception of the song. This study was conducted to analyze listener sentiment towards the song "Lost" based on YouTube comments using the Support Vector Machine (SVM) algorithm and the Term Frequency–Inverse Document Frequency (TF-IDF) feature extraction technique. Comments were collected through web scraping from the song's official video, then processed through case folding, punctuation removal, tokenizing, stopword removal, and stemming to produce clean and uniform data. Term weights were calculated using TF-IDF and then used to label positive, negative, and neutral sentiments. The SVM model was built from training data and tested with test data to evaluate its performance using accuracy, precision, recall, and f1-score metrics so that classification quality could be assessed comprehensively. Based on the test results, the SVM algorithm was able to classify listener comments with 94% accuracy, with a distribution of negative sentiment of 207 comments, neutral comments of 1,280, and positive comments of 732. These findings demonstrate the effectiveness of SVM in analyzing the sentiment of song comments on social media and provide a more comprehensive picture of the public's view of Bring Me the Horizon's song "Lost.".
A Digital Image Processing–Based Moler Disease Detection System for Shallot Leaves Wahyuni, Reski; Hasibuan, Alfiansyah; Santa, Kristofel
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2738

Abstract

This study aims to design and develop a leaf moler disease detection system on shallots (Allium cepa L.) based on digital image processing in Enrekang Regency, South Sulawesi. Moler disease caused by the fungus Fusarium oxysporum f. sp. cepae is one of the main factors that reduce the quality and productivity of shallots. So far, disease identification is still done manually through direct observation by farmers, which is subjective and time-consuming. To overcome this problem, this study applies the Convolutional Neural Network (CNN) algorithm to automatically classify shallot leaf images into two categories, namely healthy and infected with moler disease. The number of datasets used is 502 images, consisting of 251 healthy images and 251 infected images, with data division of 70% for training, 15% for validation, and 15% for testing. The CNN architecture used consists of convolution, pooling, flatten, and fully connected layers with ReLU and sigmoid activation functions in the output layer. The training process used the Adam optimizer with a learning rate of 0.001 and a binary cross-entropy loss function. Test results showed a training accuracy of 97.14%, a validation accuracy of 94.73%, and a testing accuracy of 97.37%, indicating the model has a good level of precision and generalization ability without overfitting. This system is implemented as a Flask-based web application that allows users to upload leaf images and obtain detection results instantly. This system is expected to help farmers detect diseases more quickly and increase shallot productivity in Enrekang Regency.
Performance of Removal Efficiency in the Main Wastewater Treatment Plant for Physical, Chemical (Fe, Zn, Bod), and Biological Parameters at the Steam Power Plant (Pltu) Paiton Units 3, 7 & 8 Widianto, Totok; Arifin, Zainal; Yulianto, Erwan
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2761

Abstract

Wastewater treatment in Wastewater Treatment Plant (WWTP) plays a vital role in protecting environmental quality. This study aims to evaluate the treatment efficiency of various pollutant parameters such as Total Suspended Solids (TSS), Iron (Fe), Zinc (Zn), Biochemical Oxygen Demand (BOD), and Total Coliform, based on data collected during the period 2023-2024. The results of the analysis showed fluctuations in pollutant levels in the influent and effluent of WWTP, with TSS removal efficiency reaching 95.83% in August 2023, and Total Coliform showing the highest efficiency of 99.88% in the same month. Although most parameters showed significant reductions, there were months where the removal efficiency decreased, even showing negative values. These findings indicate anomalies in the treatment process that need to be addressed, especially in certain parameters. The analysis of variance (ANOVA) conducted showed no significant difference between pollutant levels, indicating consistency in the treatment results carried out by the WWTP. The importance of regular monitoring and evaluation of the wastewater treatment system to ensure that the wastewater from the WWTP process that is discharged does not pollute the environment. Efforts to improve treatment technology and implement better waste management practices are needed to achieve environmental sustainability effectively.
Comparative Analysis of Steel and Timber Truss Structural Strength in Shophouse Buildings Using the Structure Analysis Program Method Paryati, Ninik
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2769

Abstract

Wood and steel trusses are two types of materials commonly used in building roof structures, each with its own advantages and disadvantages in terms of strength, durability, cost, aesthetics, and other aspects. This study examines steel and wood trusses from the aspect of strength by designing both types of trusses and then determining the quality of wood and steel materials for analysis using a structural analysis program. The truss design has a span of 18 m with a roof slope of 30°, and the trusses are spaced 2 m apart. The total area of the shop-house building is 12 m × 18 m = 216 m², with a height of 4 m. The truss material uses steel with a grade of BJ 37, while the wood is grade A. The structure of the shop-house uses concrete with a strength of 25 MPa. The dead load consists of a uniform load of 50 kg/m² for the trusses and 150 kg/m² for the shop-house. The live load for the roof (liveroof) is 50 kg/m², while the live load for the shop-house floor is a uniform load of 100 kg/m². The load combination used in the analysis is 1.2D + 1.6L + 0.5Lr. The analysis results show that the bending moment, shear force, and axial force of the steel truss are greater than those of the wood truss because the self-weight of the steel truss is higher than that of the wood truss. The deflection of both steel and wood trusses remains within the allowable limit of 0.3, indicating that the deflections are safe. Based on the structural design check, both steel and wood trusses are safe to use.
Automatic Fuzzy Logic–Based Nutrient Film Technique Hydroponic System with IoT Integration Akmal, Muhammad; Laila, Ida; Arifin, Arifin
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2809

Abstract

This study addresses the need for efficient crop cultivation solutions, particularly in urban areas, by developing an automatic Nutrient Film Technique (NFT) hydroponic system integrated with the Internet of Things (IoT). Traditional hydroponic systems often require intensive monitoring and can be rigid in adapting to changing conditions, especially when using binary logic for control. The proposed system utilizes fuzzy logic as its core calculation method to manage uncertainty in decision-making, allowing for more flexible control than classical binary logic. It incorporates pH, Total Dissolved Solids (TDS), temperature, and water level sensors, connected to an Arduino Nano and ESP32 microcontroller. Data is stored and communicated in real-time via Firebase, and the system is controlled through an Android application developed with MIT App Inventor. This design aims to enhance automation, improve system control, and enable more efficient management of hydroponic operations.
Implementation of Automated Attendance System Using Fingerprint with Wemos D1 R32 and WhatsApp Notifications Permadi, Bambang; Ujianto, Erik Iman Heri
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2836

Abstract

The manual attendance system often leads to inefficiencies, such as input errors, delayed data recap, and slow delivery of information to parents. This study aims to design and implement an automated attendance system based on the Internet of Things (IoT) using the AS608 fingerprint sensor and Wemos D1 R32 microcontroller integrated with attendance notifications via WhatsApp. The research method includes the stages of design, implementation, and testing using the black box approach and system performance evaluation. The results show that the system functions properly, successfully reads fingerprints, displays attendance information on the LCD, and sends WhatsApp notifications with an average response time of under 3 seconds. Black box testing confirmed that all main features, such as login, registration, fingerprint verification, and data export, work as expected. The sensor test results indicate a very high success rate under normal finger conditions but decreased accuracy when the finger is dusty, wet, or wrinkled. Overall, this system improves the efficiency, accuracy, and transparency of the student attendance process and is ready for implementation in a school environment.
Scheduling Analysis Docking of the Leo Mariner Tug Boat Vessel at PT Using the Critical Path Method Wagimin, Wagimin; Fattah, Anwar
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2841

Abstract

So far, ship docking work at the shipyard facility in XYZ has so far not implemented a project scheduling method to optimize performance. Determining the time and scheduling of ship docking work is done based on experience. As a result, there is time and cost inefficiency that impacts low performance, so that the docking and shipping industry is difficult to develop and contribute to the development of the maritime sector. This study aims to optimize the docking schedule of the Leo Mariner Tugboat. The method used is the Critical Path Method (CPM) to determine critical path. Research result shows that the Docking process under existing conditions has 24 activities and 21 paths that require a working time of 100.50 hours. Optimization using CPM produces a critical path with 10 activities and 9 paths that require a working time of 100.50 hours. work for 22.5 hours, or an efficiency of 4.8 % From the base This demonstrates that CPM successfully optimizes ship docking times This finding is beneficial for PT. XYZ in optimizing performance and supporting the development of Indonesia's maritime sector.
The Best Web-Based Employee Assessment Application Using the SAW Method Tendean, Chelsea Aprilia; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2862

Abstract

This study aims to develop a web-based system to evaluate the performance of top employees at the Secretariat of the Minahasa Regency Regional People's Representative Council. Previously, the performance evaluation process was conducted manually, resulting in inefficiency in data management, low transparency, and subjectivity in decision-making. To address these issues, a decision support system was designed and implemented using the Simple Additive Weighting (SAW) method to calculate the final score for each employee based on predetermined performance criteria. This study employed a structured system development approach, which included the stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using a web-based programming environment supported by a relational database to manage employee data, assessment criteria, and evaluation results. Employee performance assessments were conducted based on several criteria, including discipline, attendance, responsibility, and productivity, each of which was weighted according to its level of importance. The system performed data normalization, weighting, and ranking to objectively determine the best-performing employees. Functional testing using the black box method showed that all system features, including user authentication, data processing, performance evaluation, and report generation, functioned as expected. The results of the study show that the developed system is able to increase efficiency, accuracy, and transparency in the employee performance assessment process, and can be used as a reliable decision-making tool for management in selecting high-performing employees and improving overall organizational performance.

Page 30 of 33 | Total Record : 322

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