cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Urfan Taghiyev
Contact Email
u.taghiyev@newinera.com
Phone
-
Journal Mail Official
u.taghiyev@newinera.com
Editorial Address
Jl. Borong Raya Baru I, Makassar, South Sulawesi, Postal Code: 90233. Indonesia
Location
Unknown,
Unknown
INDONESIA
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
 29   30   31   32   33 
Design of an Integrated Order Acceptance System in a Palm Oil Machine Component Company: Case Study Maharani . S, Anggi; Juliza Hidayati; Meilita Tryana Sembiring
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.v7i1.2918

Abstract

As demand increases, companies need information systems capable of providing accurate, real-time, and integrated data. However, observations show that ongoing business processes are still carried out manually, such as communicating orders via WhatsApp , manually recording purchase orders (POs), and creating invoices that are not centrally documented. This condition results in various problems, including lost PO documents, duplicate transaction notes, data desynchronization between departments, and delays in order processing. Research This aim for analyzing business processes moment this (as-is) and designing business processes more (to-be) proposals effective and efficient through implementation system Odoo-based Enterprise Resource Planning (ERP). The research method used is descriptive research with data collection techniques in the form of observation and interviews. Analysis was conducted to identify non-value-added activities and system requirements that are appropriate to the company's operational conditions. The results of the study indicate that manual processes cause an average of 11% data accuracy errors per year, reduce operational efficiency, and hinder coordination between departments. The proposed Odoo-based ERP system design is able to integrate sales, purchasing, production, and finance processes so that data flow is automated, consistent, and there is no repetitive recording. This system model has been proven to support increased data accuracy, reduce data duplication, and provide faster and more accurate information for decision-making.
Comparative Analysis of the Certainty Factor and Dempster-Shafer Methods in the Diagnosis of Acute Respiratory Infection in Childern Huda, Besse Nurul; Mansyur, St. Hajrah; Anraeni, Siska
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.v7i1.2920

Abstract

Acute Respiratory Infections (ARI) are one of the diseases that often affect children and are a major cause of morbidity and mortality in Indonesia. Accurate early diagnosis is very important to prevent complications, but limited medical personnel and the similarity of ARI symptoms to other diseases are often obstacles. In this context, an artificial intelligence-based expert system can be a solution to support medical decisions. This article presents a comparative analysis of two inference methods commonly used in expert systems, namely Certainty Factor (CF) and Dempster-Shafer (DS). Through a Systematic Literature Review (SLR) approach, this study evaluates the performance of both methods based on accuracy, complexity, flexibility, and ease of implementation. The results of the study show that Certainty Factor excels in simplicity and efficiency, while Dempster-Shafer is more reliable in handling uncertainty and cases with many overlapping symptoms. This article is expected to be a reference for the development of more accurate and efficient medical expert systems in assisting the diagnosis of ARI in children.
Correlated Web Traffic Anomaly Detection for Threat Intelligence Using Isolation Forest Tesalonika, Sydney; Kumajas, Sondy; Kainde, Quido
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.v7i1.2931

Abstract

The information technology infrastructure of Manado State University (UNIMA) faces increasing complexity of cyber threats, marked by the detection of 546 malware and 760 high-impact attacks within a four-week period, indicating the inadequacy of traditional signature-based security systems. This research aims to develop a proactive anomaly detection system by integrating internal log data (Web Server Logs, Cisco Risk Reports) with external reputation data (Threat Intelligence API) using a Machine Learning algorithm. The method used is a hybrid model of CRISP-DM and Iterative Development, encompassing Data Fusion stages, Feature Engineering (generating metrics such as Request Rate and Abuse Score), implementation of the Isolation Forest algorithm, and the construction of an interactive Threat Intelligence Dashboard using Python (Dash/Plotly). The analysis results show that Isolation Forest is effective in isolating behavioral outliers, yielding a measurable Anomaly Score (0-100). The correlation of the internal anomaly score with external reputation scores (VirusTotal, AbuseIPDB) successfully validates the detected threats, ensuring that the flagged anomalies are valid cyber threats, not merely data noise. The resulting dashboard allows UPA-TIK Staff to prioritize incident investigation based on objectively quantified risk levels.
Analysis of Spun Pile Bearing Capacity Based on SPT Data Using the Luciano Decourt and Tomlinson Methods Setyawan, Rizwan Aziez; Hamdani, Hafiz; Pujiastuti, Heni; Zarkasi, Ahmad
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.v7i2.2939

Abstract

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.
Geotechnical Analysis of Mining Based on Topography and Geomorphology for Estimation of Limestone Resources and Reserves Rukayah, Rukayah
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.v7i1.2958

Abstract

Reef limestone is an industrial mineral with high economic value that is widely utilized in construction and cement industries. North Moyo District, Sumbawa Regency, contains tectonically uplifted limestone deposits, yet quantitative assessments of rock mass continuity and resource–reserve estimation remain limited. This study aims to identify geological characteristics, lithology, and fracture structures, and to estimate limestone resources and reserves using digital three-dimensional modeling. The research was conducted using a descriptive, geotechnical, and quantitative approach through the collection of primary data, including outcrop observations, elevation measurements, and fracture mapping, as well as secondary data such as regional geological maps, geomorphological information, and satellite imagery. Surface elevation data were processed using three-dimensional modeling to generate existing and design pit surfaces, and volumetric analysis was performed using the cut and fill method. Resource classification was divided into inferred, indicated, and measured categories, while reserve estimation applied a loss factor correction. The results show that the reef limestone exhibits a massive structure, porous texture, and fossil fragments with an effective thickness exceeding five meters. Fracture patterns are dominated by northwest–southeast and northeast–southwest orientations, consistent with regional tectonics. The estimated measured resource volume is 234,977 cubic meters, while proven reserves reach 226,643 cubic meters after correction. The limestone demonstrates strong lateral and vertical continuity, indicating a stable and homogeneous rock mass suitable for quarry mining. Three-dimensional modeling effectively represents field conditions and confirms the potential of reef limestone as a sustainable industrial material in North Moyo District.
Signal Coordination Analysis Between Intersection: Case Study Nadi, Muhammad Abi Berkah; Rumandanu, Achmad Vicky; Yudi, Ahmad; Apriwelni, Siska; Sari, Nurwanda; Karunia, Meutia Nadia
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.v7i1.2959

Abstract

The increase number of vehicles every year has caused a declining road function and performance, which then causes a high volume of vehicles in Intersection I of Endro Suratmin street – Pulau Tegal street / Pulau Legundi street, Intersection II of Urip Sumoharjo street – Soekarno-Hatta street, and Intersection III of Urip Sumoharjo street – Arif Rahman Hakim street. The distance between intersection I to II is 460 m, and Intersection II to III is 700 m. The distance between these intersections become a factor that lead to unsatisfactory level of comfort for road users, which in turn causes problems. The problem occurs because of the absence of signal coordination between the three intersections which causes traffic jams during peak hours. Therefore, this research will provide alternative solutions to overcome these problems. This research uses data from field surveys including traffic volume, intersection geometry, and traffic signal data. VISSIM software is used to analyze queue lengths and delays in existing conditions and signal coordination planning. In addition, reference methods such as the calculation of the Indonesian Road Capacity Manual, the Webster Method, and the Transportation Research Board in Highway Capacity Manual are also used. As the result of the analysis, it was found that the performance of the three intersections had not been coordinated. In the existing condition, the service level value in each arm reached E service level, only a few arms at the three intersections have C service level with a delay time of 29.58 seconds/vehicle. Therefore, three planning solutions were conducted to coordinate signals between the three intersections using a plan with a new cycle time acquired from the Webster method. Plan I coordinates the signals of the three intersections by using the new cycle time of intersection I at each intersection, Plan II coordinates the signals of the three intersections by using a new cycle time of intersection II at each intersection, and Plan III coordinates the signals of the three intersections in each arms using the new cycle time. Out of the three plans, the first plan is obtained as the best solution for giving a significant reduction in delays with an average service level of B.
Technology Readiness and Acceptance as Predictors of Bim Adoption Intention: A Tram Study an a Project Management Consultancy Pamunkkaz, Harrie Awan Setya; Adi, Tri Joko Wahyu
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.v7i2.2969

Abstract

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.
Adoption of Auto-replenishment as Digital Transformation Solution For Supply Chain Operation In Gas Station Using TAM-TOE Framework Kurniawan, Ferdian Adhika; Marpaung, Jonathan Nahum
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.v7i2.2974

Abstract

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.
Predicting ZNERGY Athletes' Swimming Times Using Random Forest Based on Lifestyle Physiological Exercise Tambuwun, Filemon Blessing; Kenap , Audy Aldrin; Tangkawarow , Irene Realyta Halldy Trosi
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.v7i2.2981

Abstract

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.
Selection of the Best Lean Construction Techniques for the Execution Stage Prastyo, Satriyo Agus Adi; Wiguna, I Putu Artama
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.v7i2.2990

Abstract

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.

Page 31 of 33 | Total Record : 322

 29   30   31   32   33 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2026): Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp Vol. 6 No. 1 (2025): Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp Vol. 5 No. 3 (2024): Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp Vol. 5 No. 1 (2024): Journal La Multiapp Vol. 4 No. 6 (2023): Journal La Multiapp Vol. 4 No. 3 (2023): Journal La Multiapp Vol. 4 No. 2 (2023): Journal La Multiapp Vol. 4 No. 1 (2023): Journal La Multiapp Vol. 3 No. 6 (2022): Journal La Multiapp Vol. 3 No. 5 (2022): Journal La Multiapp Vol. 3 No. 4 (2022): Journal La Multiapp Vol. 3 No. 3 (2022): Journal La Multiapp Vol. 3 No. 2 (2022): Journal La Multiapp Vol. 3 No. 1 (2022): Journal La Multiapp Vol. 2 No. 6 (2021): Journal La Multiapp Vol. 2 No. 5 (2021): Journal La Multiapp Vol. 2 No. 4 (2021): Journal La Multiapp Vol. 2 No. 3 (2021): Journal La Multiapp Vol. 2 No. 2 (2021): Journal La Multiapp Vol. 2 No. 1 (2021): Journal La Multiapp Vol. 1 No. 6 (2020): Journal La Multiapp Vol. 1 No. 5 (2020): Journal La Multiapp Vol. 1 No. 4 (2020): Journal La Multiapp Vol. 1 No. 3 (2020): Journal La Multiapp Vol. 1 No. 2 (2020): Journal La Multiapp Vol. 1 No. 1 (2020): Journal La Multiapp More Issue