Journal La Multiapp
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.
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<![CDATA[Sentiment Analysis of the Song Lost - Bring Me the Horizon Based on Reviews on YouTube Using the SVM Algorithm ]]>
<![CDATA[Moningkey, Efraim]]>;
<![CDATA[Sombo, Wanki Dwi Warsun]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2685
<![CDATA[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.".]]>
<![CDATA[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 ]]>
<![CDATA[Widianto, Totok]]>;
<![CDATA[Arifin, Zainal]]>;
<![CDATA[Yulianto, Erwan]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2761
<![CDATA[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.]]>
<![CDATA[Implementation of Automated Attendance System Using Fingerprint with Wemos D1 R32 and WhatsApp Notifications ]]>
<![CDATA[Permadi, Bambang]]>;
<![CDATA[Ujianto, Erik Iman Heri]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2836
<![CDATA[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.]]>
<![CDATA[Analysis of Spun Pile Bearing Capacity Based on SPT Data Using the Luciano Decourt and Tomlinson Methods ]]>
<![CDATA[Setyawan, Rizwan Aziez]]>;
<![CDATA[Hamdani, Hafiz]]>;
<![CDATA[Pujiastuti, Heni]]>;
<![CDATA[Zarkasi, Ahmad]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2939
<![CDATA[Spun pile foundations were used in the construction of the Mayor's Office Building in Jempong Village, Mataram City, West Nusa Tenggara Province, as elements that transfer structural loads to more stable soil. This study aims to analyze the bearing capacity of spun pile foundations manually to obtain the ultimate bearing capacity and allowable bearing capacity values by comparing the Luciano Decourt and Tomlinson methods based on SPT data. Through this analysis, it is hoped that the most efficient and appropriate method for application in the soil conditions in the area can be determined. Based on the calculation results, the Luciano Decourt method produced a bearing capacity and allowable bearing capacity of 137,344 tons and 54,938 tons, respectively, while the Tomlinson method produced a bearing capacity and allowable bearing capacity of 89,489 tons and 35,795 tons, respectively. It can be concluded that the most efficient and appropriate method to use in pile foundation planning for the soil conditions in the area is the Tomlinson method because it produces a more conservative bearing capacity. The use of this conservative bearing capacity can help avoid the risk of foundation failure.]]>
<![CDATA[Technology Readiness and Acceptance as Predictors of Bim Adoption Intention: A Tram Study an a Project Management Consultancy ]]>
<![CDATA[Pamunkkaz, Harrie Awan Setya]]>;
<![CDATA[Adi, Tri Joko Wahyu]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2969
<![CDATA[Building Information Modeling (BIM) is a critical digital innovation for improving coordination and decision-making in construction project management; however, its adoption among project management consultancies in Indonesia remains limited. This study examines how technology readiness and technology acceptance influence BIM adoption intention in a pre-adoption consultancy context using the Technology Readiness and Acceptance Model (TRAM). A confirmatory survey was conducted at a state-owned project management consultancy involving 85 respondents from management and project site teams. Data were analyzed using the Relative Importance Index (RII) and Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that BIM adoption intention is mainly driven by perceived usefulness (β = 0.531, p < 0.001), followed by perceived ease of use (β = 0.263, p = 0.037). The TRAM model explains 55.7% of the variance in adoption intention (R² = 0.557). Innovativeness plays an important enabling role by positively influencing perceived usefulness (β = 0.387, p = 0.002) and perceived ease of use (β = 0.481, p = 0.001), while optimism and insecurity do not show significant effects. Descriptive analysis further indicates that BIM is highly valued for its long-term organizational benefits (RII = 0.925) and early problem detection capability (RII = 0.915). No significant perceptual differences are found between management and project site teams. These findings suggest that BIM adoption intention in project management consultancies is primarily shaped by performance-related and usability perceptions, underscoring the importance of targeted training, infrastructure readiness, and organizational support to translate intention into effective implementation.]]>
<![CDATA[Adoption of Auto-replenishment as Digital Transformation Solution For Supply Chain Operation In Gas Station Using TAM-TOE Framework ]]>
<![CDATA[Kurniawan, Ferdian Adhika]]>;
<![CDATA[Marpaung, Jonathan Nahum]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2974
<![CDATA[Indonesia’s downstream oil and gas sector faces persistent supply chain challenges due to manual processes and high demand variability. This study aims to investigate the determinants influencing the behavioral intention of Indonesian Gas Station (SPBU) operators and supervisors to adopt the Auto-Replenishment system. Data were collected from 419 valid respondents of gas station operators and supervisors who had completed the Digitalisasi SPBU e-learning. The model comprises nine latent constructs from Technology Organization Environment and Technology Acceptance Model Framework. Data were analyzed using Partial Least Squares–Structural Equation Modelling (PLS-SEM), and reveals that Top Management Support and Organizational Readiness are the strongest drivers, significantly enhancing both Perceived Usefulness and Perceived Ease of Use. Environmental factors, specifically Regulatory Support and Vendor Support, significantly impact Perceived Ease of Use. Technological Readiness influenced Perceived Usefulness but failed to significantly affect Perceived Ease of Use. In line with TAM, both Perceived Usefulness and Perceived Ease of Use have significant positive effects on Behavioral Intention, and mediation analysis confirms that these TAM constructs transmit a substantial portion of TOE effects to adoption intention.]]>
<![CDATA[Predicting ZNERGY Athletes' Swimming Times Using Random Forest Based on Lifestyle Physiological Exercise ]]>
<![CDATA[Tambuwun, Filemon Blessing]]>;
<![CDATA[Kenap , Audy Aldrin]]>;
<![CDATA[Tangkawarow , Irene Realyta Halldy Trosi]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2981
<![CDATA[This research was conducted to fill the gap in previous research in swimming performance prediction that rarely combines daily lifestyle aspects with training and physiological data, especially in the context of local swimming clubs in Indonesia that still rely on conventional approaches. The purpose of this research is to develop a prediction model for 50-meter freestyle swimming times using a holistic Random Forest Regressor algorithm. The method applied is a data-oriented methodology for prediction with longitudinal primary data from 10 ZNERGY Aquatic Swimming Club adolescent athletes (81 observations) collected through coach logbooks for training variables and time targets, and digital questionnaires for parents for physiological and lifestyle variables, including a specially developed Nutrition Compliance Index (IKG). The data was processed with Python (Scikit-Learn and Pandas), including pre-processing, lagged feature engineering, and model evaluation with an 80:20 split. The results show the model has high accuracy with an R² of 0.9591, MAE of 1.511 seconds, and RMSE of 2.254 seconds; The most important variable was the previous test time (45.66%), followed by training variables (33.67%), while lifestyle variables contributed little. The implication of this study is the availability of an evidence-based decision support system for coaches to design training programs objectively, optimize athlete progress, and prevent overtraining through a holistic approach that integrates multidimensional data.]]>
<![CDATA[Selection of the Best Lean Construction Techniques for the Execution Stage ]]>
<![CDATA[Prastyo, Satriyo Agus Adi]]>;
<![CDATA[Wiguna, I Putu Artama]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2990
<![CDATA[This study aims to identify and prioritize critical success factors and lean construction techniques that influence lean implementation during the execution stage of construction projects in Indonesia. A quantitative research approach was employed using expert judgment collected through a structured questionnaire. The Relative Importance Index was applied to rank critical success factors and assess the importance of selected lean construction techniques, while the Analytic Hierarchy Process was used to determine priority weights through pairwise comparisons. The results indicate that top management, financial management, task execution based on scope of work, and improvement tools are the most influential factors supporting successful lean execution. The analysis also shows that Just In Time, Last Planner System, Daily Huddle Meeting, and Building Information Modeling are all considered very important techniques during the execution stage. Further prioritization reveals that Daily Huddle Meeting has the highest priority, followed by Just In Time, while Building Information Modeling and Last Planner System function as supporting techniques. The findings highlight that effective lean execution is driven primarily by managerial commitment and daily coordination practices rather than technical tools alone. This study provides practical guidance for construction practitioners in selecting appropriate lean strategies to improve execution performance and reduce waste on site.]]>
<![CDATA[Causal Structure of Toll Road Tariff Determination in Public Private Partnership Projects: A System Dynamics Approach ]]>
<![CDATA[Wicaksono, Anggito Adji]]>;
<![CDATA[Rachmawati, Farida]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.3007
<![CDATA[The Solo Yogyakarta Yogyakarta International Airport Toll Road is a national strategic infrastructure project in Indonesia developed under a public private cooperation scheme using a build operate transfer arrangement. In this scheme, toll tariffs function as the primary mechanism for investment recovery, making tariff determination a critical factor influencing traffic demand and project feasibility. This study aims to develop a system dynamics based model to explain the structural relationships governing toll tariff determination in toll road projects implemented through public private cooperation. The research applies a quantitative modeling approach using system dynamics, following stages of problem formulation, development of a dynamic hypothesis, and construction of a causal loop diagram. Key variables are identified through literature review, expert judgment, and secondary data analysis, including toll tariffs, average daily traffic, user affordability, operational costs, and financial performance indicators. The analysis focuses on identifying cause effect relationships and feedback structures that influence traffic demand and revenue behavior. The results show that toll tariff determination is governed by interacting reinforcing and balancing feedback loops, with traffic volume emerging as a central variable linking tariff policies to revenue and financial performance. Higher tariff levels may increase unit revenue while simultaneously reducing traffic demand due to affordability constraints, whereas economic growth and service improvements support reinforcing demand effects. This study concludes that toll tariff determination should consider dynamic interactions among demand, affordability, and financial variables rather than relying solely on static cost-based approaches.]]>
<![CDATA[Feasibility Analysis of the 40 MWp Tembesi Floating Solar Power Plant Development Project ]]>
<![CDATA[Putra, Muhammad Ariansyah]]>;
<![CDATA[Prabowo, Eri]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.3017
<![CDATA[This study aims to analyze the feasibility of the Tembesi Floating Solar Power Center (PLTS) construction project with a capacity of 40 MWp in the Batam - Bintan electricity system. The financial feasibility includes calculation of investment costs, operation and maintenance costs, and cost benefit analysis using indicators such as Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period. The operational feasibility analysis includes alternatives to achieving goals, assessment of how to achieve goals, scope of work, and conclusions of the operational feasibility study. The results showed that the construction of a floating solar power plant in Tembesi Reservoir is technically feasible. The proposed design and technology are capable optimal performance of the floating solar PV system, ensuring effective and efficient operations. Financial analysis, including consideration of sensitivities and assumptions, shows that the project is financially viable. The project has an internal rate of return (IRR) that meets the investment feasibility requirements. The rates are 8.82 cUSD/kWh if the power is evacuated through 150 kV lines, and 7.96 cUSD/kWh if evacuated through 20 kV lines. Based on the analysis, the construction of 40 MWp Tembesi Floating Solar Power Plant electricity system is declared feasible to be implemented.]]>
