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.
Articles
20 Documents
Search results for
, issue
"Vol. 6 No. 5 (2025): Journal La Multiapp"
:
20 Documents
clear
<![CDATA[Risk Analysis and Mitigation in Supply Chain at PT. XYZ with Best Worst Method and House of Risk ]]>
<![CDATA[Ariyanti, Fredika Aura Kusuma]]>;
<![CDATA[Pulansari, Farida]]>;
<![CDATA[Dewi, Sinta]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2114
<![CDATA[Risk is a known uncertainty while uncertainty is an unknown risk. Risk can only be reduced by risk management. The purpose of this study is to solve the problems at PT. XYZ in the field of LPG tank product manufacturing. The problems experienced by the company are frequent material delays and overproduction. In this study, the problem-solving methods used are the BWM and HOR methods. The results of the study found that material delays are the main risk and with mitigation s trategies to improve supplier selection criteria.]]>
<![CDATA[Analysis of Yarn Materials Defects in the Warping Process using Fault Tree Analysis with Improvement Proposals 5W1H Based on the 5W1H Method ]]>
<![CDATA[Rafida, Halimas Nafi]]>;
<![CDATA[Rochmoeljati, Rochmoeljati]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2211
<![CDATA[Quality control is a critical aspect of the textile industry, essential for maintaining product consistency. However, defects in yarn materials continue to persist, particularly during the warping process. This study investigates yarn defects at PT X using the Fault Tree Analysis (FTA) method, identifying 15 root causes and proposing corrective measures based on the 5W1H approach. The research specifically addresses defects in Tetoron Rayon (TR) yarn Ne 30, with a focus on Cross Defects, Defective Rolls, and Nglokor Rolls. The FTA method offers a structured approach to failure analysis, while the 5W1H method is employed to derive strategic corrective actions. The findings demonstrate that the probability of defect occurrence varies between the Direct and Sectional Warping processes. Cross Defects occur with probabilities of 0.1333% and 0.126%, Defective Rolls with probabilities of 0.159% and 0.243%, and Nglokor Rolls with probabilities of 1% and 0.171%, respectively. The analysis identifies 15 primary root causes contributing to these defects, which include machine-related failures, human error, and material inconsistencies. Based on these findings, the study recommends the implementation of preventive maintenance schedules, operator training programs, and a more rigorous adherence to standard operating procedures (SOPs). The proposed improvements are expected to optimize the warping process and enhance the overall quality of the product.]]>
<![CDATA[Optimization of Phoska Fertilizer Production Planning Using Dynamic Programming Method ]]>
<![CDATA[Ciko, Muhammad Hadziqul Afkar]]>;
<![CDATA[Sumiati, Sumiati]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2213
<![CDATA[Indonesia's agricultural sector plays a crucial role in ensuring food security and bolstering the national economy. A major challenge, however, is the declining quality of land due to the unregulated use of chemical fertilizers. PT Gresik Nusantara Fertilizer addresses this issue by producing soil-enhancing fertilizers. Their main offerings include GNF Mutiara, GNF SP-36, and GNF Phoska, which aim to enhance soil health and increase agricultural yields. The company operates with a continuous production system, where raw materials represent the most significant expense due to their variety and volume. Labor costs arise from worker wages involved in tasks like mixing, granulating, and packaging. Energy costs, especially electricity, are critical for operating production machinery, particularly during the drying phase using a rotary dryer. Packaging costs entail the use of sacks for distributing the fertilizer to markets. To effectively manage these components and minimize resource waste, a strategy is needed to optimize production and maintain cost-efficiency. This study employs Dynamic Programming (DP) to enhance the use of raw materials in producing Phoska fertilizer. This method helps determine the optimal mix of raw materials by considering potential price variations, thereby promoting more efficient production. Additionally, forecasting techniques are utilized in the study to predict fertilizer demand based on historical data.]]>
<![CDATA[Identification of Waste in Dolomite Stone Using the Waste Assessment Model Method in the Implementation of Lean Manufacturing ]]>
<![CDATA[Saliem, Muhammad Niqey Dzi Qolbin]]>;
<![CDATA[Situmeang, Joumil Aidil Saifuddin Zuhri]]>;
<![CDATA[Winursito, Yekti Condro]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2219
<![CDATA[Production plays an important role in maintaining the quality and quantity of products until they reach consumers. The many important activities in the production process require companies to improve their performance to be effective and efficient in order to maintain trust. PT XYZ is a BUMD company engaged in the manufacturing of fertilizer and dolomite rock mining materials since 2018. In production activities, there are various activities that do not have added value or waste. This study aims to identify waste and find out the root causes of waste in production process activities. The implementation of Lean manufacturing is carried out by identifying the warehousing flow process with Value Stream Mapping (VSM), then identifying 7 wastes that occur in the warehousing process using the Waste Assessment Model (WAM) method. The results of the study showed that the waste with the highest percentage level was waste Processing (P) waste transportation (T) waste overproduction (D). From the proposed improvements and mapping of future flows, it was found that lead time was reduced to 264 minutes from 350 minutes, which means eliminating 86 minutes of activities that did not provide added value. Thus, activity increased by 22% from the initial condition.]]>
<![CDATA[Design of Coordination Between Signalized Intersections (A Case Study in Gayamsari and Lamper Intersections) ]]>
<![CDATA[Ramadan, Ramadan]]>;
<![CDATA[Setiadji, Bagus Hario]]>;
<![CDATA[Riyanto, Bambang]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2230
<![CDATA[Gayamsari Intersection and Lamper Intersection in Semarang City are signalized intersections that experience high levels of vehicle queues and delays, especially during peak hours. This study aims to design signal coordination between intersections to improve traffic performance. The analysis was conducted based on the Indonesian Road Capacity Guidelines (PKJI) 2023, with a five-day field survey covering active days (Monday-Wednesday) and weekends (Saturday-Sunday). Peak hour traffic volume data was used to analyze existing conditions, including degree of saturation (DJ), queue length (PA), and delay (T) parameters. Several signal cycle planning scenarios were tested, and an optimal cycle of 180 seconds for weekdays and 130 seconds for weekends was obtained. Signal coordination can only be applied from Lamper to Gayamsari intersection, because in the reverse direction straight vehicles at Gayamsari intersection do not face red signals. Signal coordination is designed using the bandwidth and offset time method, with an offset of 45 seconds. The design results show a bandwidth of 60 seconds (morning) and 81 seconds (afternoon) on active days, and 43 seconds (morning) and 51 seconds (afternoon) on weekends. This design is expected to reduce vehicle delays and queues, and improve traffic efficiency at both intersections.]]>
<![CDATA[Intelligent IOT Service Recommendation System Based on Deep Learning ]]>
<![CDATA[Hazar, Manar Joundy]]>;
<![CDATA[Shaker, Bassam Noori]]>;
<![CDATA[Ali, Lafta Raheem]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2285
<![CDATA[The rapid increase in interconnected devices, commonly known as the Internet of Things (IoT), has significantly impacted various sectors, enhancing services in energy, transport, health, and more. Unfortunately, that means consumers are facing increasing challenges in choice of quality IoT devices and services alike. Importantly, traditional methods of recommendation are largely reliant on collaborative or content-based filtering, which suffer from problems such as sparsity of data and the cold start problem that all result in potentially large inaccuracies. In this regard, this study supplies a unique QoS prediction approach with Generative Adversarial Network (GAN) and Gated Recurrent Unit (GRU), i.e., GRU-GAN is proposed to address these challenges. This approach maps the QoS matrix on service call records, involving user attributes and historical QoS records as a time series to train GRU-GAN model. In the GAN, the generator is trained to predict realistic QoS values and then discriminator evaluates classifying these predictions. We experimentally show the efficiency of our model. Our GRU-GAN model consistently outperforms traditional QoS prediction methods showing lower RMSE and MAE with regards to different data densities. More concretely, it had an RMSE of 0.16 and MAE of.05 with data density at 5%, and performed best across all the model as your increased data availability beyond that scale. In conclusion, the GRU-GAN model offers a robust solution for QoS prediction in IoT ser- vice recommendations, effectively handling data sparsity and enhancing prediction accuracy.]]>
<![CDATA[Acceleration of Modular Oil and Gas Project Duration Using the Time-Cost Trade-Off Method ]]>
<![CDATA[Iqbal, Muhammad Bob]]>;
<![CDATA[Silvianita, Silvianita]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2307
<![CDATA[Floating Production Storage and Offloading (FPSO) is an offshore floating platform designed to process and store oil Floating Production Storage and Offloading (FPSO) is a type of floating offshore platform that functions to process and store oil and gas before being distributed to consumers. A critical component of the FPSO, designed to ensure the product can be safely processed and transported, is the topside module. Currently, the Seawater Filtration Module project is facing delay challenges that impact both project cost and completion time. Using the existing case study, this research applies the Critical Path Method (CPM) to identify the critical path within the overall project schedule, as well as the Program Evaluation and Review Technique (PERT) to manage uncertainties in the completion time of critical activities. To evaluate the acceleration strategy with consideration of additional costs, the Time-Cost Trade-Off (TCTO) method is employed. The research findings indicate that the project experienced a 51-day delay from the original schedule, which targeted completion by January 31, 2024. A total of 11 activities were identified as part of the critical path contributing to the delay. To address this issue, acceleration was carried out by adding labor based on the productivity of each activity. The results show that the addition of 17 workers successfully reduced the duration of critical activities from 721 days to 670 days. Probability analysis indicated a success rate of 82.64% for the acceleration effort. Meanwhile, the cost calculation showed that the acceleration required an additional expense of Rp 30,913,709.]]>
<![CDATA[Indicators in the Performance Evaluation Rubric for Supervision Consultants in Toll Road Construction Projects ]]>
<![CDATA[Rarasati, Ayomi Dita]]>;
<![CDATA[Rahman, Wahyu Putra]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2318
<![CDATA[The construction of toll roads is a key government program aimed at enhancing public productivity and accelerating national economic growth. To ensure that toll road construction meets the desired quality, time, and cost objectives, the involvement of competent supervision consultants is essential. However, suboptimal performance of these consultants often leads to less-than-ideal project outcomes. This study aimed to analyse the performance evaluation indicators of supervision consultants and incorporate them into a comprehensive performance assessment rubric for supervision consultants in toll road construction projects. The research methodology combined literature review, questionnaire surveys, and expert interviews for data collection. Then, each indication is ranked and weighted using the Rank Order Centroid (ROC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approaches. The results showed that respondents and experts identified 18 important indicators grouped into three categories soft skills, technical skills, and project supervision which can be used in a validated performance assessment rubric for evaluating supervision consultants in toll road construction projects.]]>
<![CDATA[Performance Analysis of Synchronous Generators at Kamojang Geothermal Power Plant Unit 5 Based on Operational Parameters of Power, Current, and Voltage ]]>
<![CDATA[Alamsyah, Amanda Putri]]>;
<![CDATA[Sucita, Tasma]]>;
<![CDATA[Mulyana, Elih]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2333
<![CDATA[Geothermal energy is one of the potential and sustainable renewable energy sources in Indonesia. The efficiency of the generation system is one of the crucial aspects in optimizing the utilization of this energy. This study aims to analyze the performance of synchronous generators at the Kamojang Unit 5 Geothermal Power Plant based on power, current, and voltage parameters. The method used is a quantitative descriptive approach with field data collection for seven consecutive days in January 2025. The data observed include active power, apparent power, power factor, terminal voltage, phase current, and generator efficiency and current imbalance between phases. The results showed that the generator had high and stable daily efficiency with an average of 93.99%. The power factor was also classified as good, with an average of 91.23%. The highest phase current imbalance occurred in phase V with an average of 1.60%, but was still within the safe threshold according to IEEE standards. These findings indicate that the generation system at the Kamojang Unit 5 Geothermal Power Plant operates in an efficient and stable condition. This study also indicates the importance of monitoring operational parameters periodically as part of a maintenance strategy and increasing the reliability of geothermal power plants. With high efficiency and system stability, Kamojang Unit 5 Geothermal Power Plant can be a model for reliable and sustainable renewable energy power plant operation.]]>
<![CDATA[The Influence of Material Control Systems on Remaining Materials in Structural Work ]]>
<![CDATA[Riadi, Joan]]>;
<![CDATA[Azhar, Moh.]]>;
<![CDATA[Naibaho, Pio Ranap Tua]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i5.2369
<![CDATA[Digital transformation has increased operational efficiency infrastructure critical, but at the same time also open new loophole against attack increasingly complex and destructive cyberspace. This study aims to identify spectrum threat cyber targeting infrastructure critical, analyzing vulnerability accompanying systemic, as well evaluate strategy multi-level protection used in mitigation risk cyber. Using approach qualitative through review methods systematically, this study examines 20 primary sources in the form of scientific journals, policy reports, and studies. case international published 2015–2024. The research results revealed that threats such as ransomware, Advanced Persistent Threats (APT), attacks AI -based, and zero-day exploits are becoming a form of attack dominant, with energy, health, and communications sectors as the main targets. Vulnerabilities systemic found in aspects of old technology that is not updated, governance weaknesse, as well as low awareness cyber at the level operational. Strategy effective protection nature layered, including perimeter security, access management, data encryption, training awareness, to response incidents and system recovery. This study recommends integration strategy adaptive, data -based protection risk, and supported by policies strong national to strengthen resilience cyber sector infrastructure critical.]]>
