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
274 Documents
<![CDATA[Customer Segmentation of Mobile Banking Users Using Feature Engineering and K-Means Clustering ]]>
<![CDATA[Ania, Hijja]]>;
<![CDATA[Mahyuddin, Mahyuddin]]>;
<![CDATA[Zamzami, Elviawaty Muisa]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 3 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i3.2377
<![CDATA[The increasing adoption of mobile banking has necessitated deeper insights into user behavior to enable banks to design personalized and targeted marketing strategies. This study aims to segment mobile banking customers based on their transaction patterns, specifically in the purchase of prepaid mobile credit and internet packages, using feature engineering techniques and the K-Means clustering algorithm. A dataset comprising over one million transactions from a regional bank in North Sumatra, Indonesia, was analyzed. Behavioral and time-based features were extracted to capture customer activity levels, transaction values, temporal preferences, and product usage. The Elbow Method identified five optimal clusters, each representing unique user profiles, including occasional users, regular low-value users, premium users, heavy users, and moderate-consistent users. Findings indicate strong operator loyalty and consistent transaction timing across segments, especially in early-month activity. The results offer practical implications for financial institutions seeking to enhance customer engagement, retention, and service personalization through behavior-based segmentation strategies. This study also contributes methodologically by showcasing the utility of unsupervised machine learning in deriving customer insights from transactional data without relying on sensitive demographic information.]]>
<![CDATA[Reservation Information System Using Best-Fit Algorithm at Coworking Space Nutrihub Makassar ]]>
<![CDATA[Murni, Murni]]>;
<![CDATA[Akib, Faisal]]>;
<![CDATA[Yusuf, Farida]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2301
<![CDATA[Coworking space, is a phenomenon that introduces a modern way of working with flexibility and collaboration. With the establishment of Nutrihub Makassar Coworking space by Nutrifood, there is an opportunity to build extensive partnerships in an organized work atmosphere. The problem faced by Nutrihub Makassar Coworking Space is the reservation system that still uses WhatsApp, which has limitations in presenting information. The reservation process requires the exchange of details such as date, time, number of guests, and special requirements. In chat format, this information is difficult to organize properly, less efficient can result in suboptimal scheduling, with the risk of disrupting the event or service. A careful approach is needed in managing reservations to overcome these challenges. This study uses a system design method that includes needs analysis, system design, and implementation. And illustrates that the implementation of a reservation system using the best fit algorithm in coworking space can have a positive impact, such as optimizing space utilization, increasing operational efficiency, and customer satisfaction. During the testing process, this system has been thoroughly tested using black box and System Usability Scale (SUS) testing. The results of the black box test show that this system runs well and is in accordance with user expectations. The results of the System Usability Scale (SUS) test showed a final result of 83.75 and obtained an Acceptability Range of “Acceptable”. This shows that the usability or usefulness of the reservation information system at the Nutrihub Makassar coworking space is feasible to use and can be applied well to users.]]>
<![CDATA[Cooling Tower Performance Analysis Using Range and Approach Method Unit 4 in Pt. Pertamina Geothermal Energy Kamojang Area ]]>
<![CDATA[Ramadan, Ripa Hikmah]]>;
<![CDATA[Sucita, Tasma]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2306
<![CDATA[Geothermal Power Plant (PLTP) is one of the renewable energy sources that supports the national energy transition. One of the important components in the PLTP system is the cooling tower which functions to lower the temperature of the condensed water so that it can be reused in the thermodynamic cycle. This study aims to analyze the performance of the cooling tower at PLTP Kamojang Unit 4 owned by Januari Pertamina Geothermal Januari using the Range and Approach methods based on the ASME PTC 23-2003 standard. Data were obtained from operational logsheets during the period from 4 to 10 January 2025 and analyzed using Microsoft Excel. The parameters observed included inlet water temperature, outlet water temperature, and wet bulb air temperature. The results of the analysis showed that the range value ranged from 35.61°C to 36.48°C, the approach value between 4.73°C to 5.12°C, and the effectiveness of the cooling tower was in the range of 87.42% to 88.52%. These values indicate that the cooling tower is still operating at high efficiency. Daily fluctuations in these values are influenced by environmental factors such as air humidity, wet bulb temperature, and variations in cooling load. In addition, internal factors such as fan conditions, water spraying, cooling water quality, and media packing conditions also contribute to system performance. Based on these results, it is recommended that regular monitoring and preventive maintenance be carried out to maintain the efficiency of the cooling system. With improvements and digitalization of monitoring, the cooling tower at PLTP Kamojang Unit 4 can continue to support power plant operations optimally and sustainably.]]>
<![CDATA[Conceptual Framework for Feasibility Evaluation of Rest and Service Area (TIP) Development Project on JORR II Toll Road Based on Value Engineering ]]>
<![CDATA[Subki, Muhammad]]>;
<![CDATA[Karim, Rully Andhika]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2314
<![CDATA[Infrastructure development, particularly toll roads, requires substantial investment and involves a long payback period. According to data from BPJT, Indonesia currently operates more than 2,816 km of toll roads, an increase of 197% or 1,867.7 km compared to 2014. However, this growth has not been matched by the development of Rest and Service Areas (TIP), which are essential facilities for toll road users. Government Regulation No. 17 of 2021 mandates the provision of at least one TIP for every 50 km of toll road. In the case of the 110.74 km JORR II Toll Road, a TIP was planned as part of the Cengkareng–Batuceper–Kunciran section. However, the BUJT has been unable to construct the TIP due to delays in land acquisition and the absence of a defined investment cost by the government. This delay contributes to a prolonged deficit cash flow period for the toll road section. This study aims to provide a conceptual framework to improve the financial feasibility of TIP projects by examining the financial viability of toll road and TIP developments and identifying potential improvement strategies. Literature reviews indicate that a value engineering approach can enhance financial feasibility by optimizing construction costs and creating new revenue streams. Therefore, this study will adopt the value engineering concept as the main strategy to improve the financial feasibility of the TIP project.]]>
<![CDATA[Analysis of the Causes of Investment Weakness in Kertajati Aerocity Business District ]]>
<![CDATA[Pandora, Olivia]]>;
<![CDATA[Rarasati, Ayomi Dita]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2325
<![CDATA[This study investigates physical issues and proposed improvement solutions in the development of the business district in Kertajati Aerocity. A mixed-method approach was aplied, combining qualitative descriptive statistics with the quantitative Analytical Hierarchy Process (AHP). The findings reveal two key physical issues contributing to the investment weakness in the Kertajati Aerocity Business District: accessibility and public facilities. Among these, issues related to public facilities were identified as having a higher priority (eigenvalue 0.595) compared to accessibility issues (eigenvalue 0.405). The public facilities problem specifically refers to the absence of entertainment facilities in the business district. Meanwhile, the accessibility issue pertains to limited road network provision. Proposed solutions to address the lack of entertainment facilities include the construction of entertainment infrastructure and partnerships or collaborations with investors. For the accessibility issue, suggested improvements involve building new road networks, prioritizing road development, and fostering collaborative investment schemes.]]>
<![CDATA[Decision Support System In Selecting Teak Wood Raw Materials For Furniture Production At Lestari Jati ]]>
<![CDATA[Sukmawati, Zesiy Risna Dewi]]>;
<![CDATA[Evanita, Evanita]]>;
<![CDATA[Riadi, Aditya Akbar]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2370
<![CDATA[The furniture industry that uses teak wood as the main raw material faces various challenges in maintaining the quality of materials and the efficiency of the production process. Teak wood is known to have advantages such as high resistance to weather and insects, good structural strength, and distinctive and elegant grain beauty. However, the quality of teak wood varies greatly depending on environmental factors, tree age, and processing process. These variations can affect the final result of furniture products, so it is important for companies to choose the right raw materials. This study aims to develop a Decision Support System (DSS) specifically designed to help Lestari Jati company in determining teak wood raw materials consistently and objectively. This DSS considers several main criteria, such as age, fiber, color, volume. The Simple Additive Weighting (SAW) method is used to give priority weight to each criterion and determine the best alternative from the available raw materials. With this system, the company is expected to be able to obtain accurate recommendations, accelerate the decision-making process, and significantly improve product quality and production efficiency, so that it can increase competitiveness in the teak wood furniture market.]]>
<![CDATA[Product and Store Recommendation System Using K-Means Clustering and Hybrid Filtering on Marketplace ]]>
<![CDATA[Kundiman, Injilia M. E.]]>;
<![CDATA[Tampunabale, Maha M. K.]]>;
<![CDATA[Kondoj, Marike A. S.]]>;
<![CDATA[Langi, Herry S.]]>;
<![CDATA[Walukow, Stephy B.]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2378
<![CDATA[The development of information and communication technology has driven significant changes in the digital business landscape, particularly in the e-commerce sector. Marketplaces have become crucial platforms for connecting consumers with product providers, including supporting the growth of Micro, Small, and Medium Enterprises (MSMEs). As transaction volumes and product diversity continue to increase, new challenges have emerged in providing consumers with relevant product recommendations. This study aims to develop a product and store recommendation system by combining K-Means Clustering for customer segmentation and Hybrid Filtering to enhance recommendation accuracy. The system was developed using an experimental approach based on software engineering, with historical transaction data from the CV. Talongka Jaya marketplace as the primary data source. Customer segmentation resulted in five clusters based on purchasing behavior patterns, such as transaction frequency and product category preferences. These clustering results were then used to tailor product and store recommendations to the characteristics of each segment. The recommendation system was built by integrating Collaborative Filtering and Content-Based Filtering with optimal weights of 0.7 and 0.3, respectively. Evaluation using 5-fold cross-validation demonstrated that Hybrid Filtering achieved a Precision of 0.78 and an F1-Score of 0.74, outperforming single-method approaches. These findings confirm that the integration of clustering and hybrid filtering is effective in enhancing service personalization and improving users’ shopping experience. This research makes a significant contribution to the development of data mining-based recommendation systems for MSME marketplaces, although there remains room for further improvement through the integration of real-time data and deep learning-based sequential recommendation methods.]]>
<![CDATA[Web-Based Population Data Information System at Suwaduk Village Office to Improve Service Efficiency ]]>
<![CDATA[Pegianti, Nanda`]]>;
<![CDATA[Riadi, Aditya Akbar]]>;
<![CDATA[Susanto, Arief]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2407
<![CDATA[The rapid development of information technology has encouraged government agencies, including village offices, to utilize digital systems to improve the effectiveness of data management. At the village level, population data management is still largely done manually or using Microsoft Excel files, which have various limitations in terms of search speed, data security, and information integration. This study aims to design and build a Web-Based Population Data Collection Information System to assist village governments in recording, processing, and presenting population data more effectively and efficiently. This system was developed using the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The implementation results show that this system is able to overcome various previous problems, increasing efficiency, accuracy, and transparency in population data management. Features such as Excel data import with automatic validation, population data and family card management, data conversion history, and automatic generation of certificates, work as expected. Thus, this system has a positive impact on administrative services and data-based decision-making in Suwaduk Village.]]>
<![CDATA[Public Complaints Information System in Government to Improve Website-Based Public Services ]]>
<![CDATA[Shofiana, Arista]]>;
<![CDATA[Riadi, Aditya Akbar]]>;
<![CDATA[Evanita, Evanita]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2419
<![CDATA[Optimal public service is one indicator of the success of village government in responding to community needs. However, in Lahar Village, the public complaint process is still carried out manually, such as verbally or by hand, so it is prone to data loss, slow in handling, and less transparent. This condition indicates the need for a system that is able to digitize the complaint process to be more effective and efficient. This study aims to design and build a website-based public complaint information system to improve the quality of public services in the Lahar Village government environment. The methodology used includes direct observation, interviews with village officials, and literature studies as the basis for system design. System development is carried out using the PHP programming language and MySQL database. The expected results of this study are the creation of a computerized complaint information system that is easily accessible to the public, and supports the process of recording, handling, and monitoring complaints in a more transparent and structured manner. With this system, it is hoped that public services in Lahar Village can be significantly improved, both in terms of time efficiency and data accuracy.]]>
<![CDATA[Analysis of Time and Cost Planning and Control for Waterproofing Work in Project X Multi-Story Data Center Jakarta ]]>
<![CDATA[Ardiansyah, Giri Teguh]]>;
<![CDATA[Bayuaji, Ridho]]>;
<![CDATA[Asmi, Ade]]>;
<![CDATA[Darmawan, Muhammad Sigit]]>;
<![CDATA[Suswanto, Budi Suswanto]]>
<![CDATA[ Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37899/journallamultiapp.v6i4.2179
<![CDATA[Waterproofing plays a crucial role in maintaining a building's integrity. However, subcontractor skill limitations and project constraints such as design changes, site readiness, and resource shortages often cause delays. This study analyses the planning and time control of waterproofing work in the Building X High-Rise Data Center project, covering eight work items. Using the Precedence Diagram Method (PDM), the work schedule indicates an effective duration of 34 weeks. The analysis methods used include Critical Path Method (CPM), Earned Value Analysis (EVA), Program Evaluation Review Technique (PERT), and crashing for project duration optimization. By the 30th week, the calculation results showed a Schedule Performance Index (SPI) of 0.96 and a Schedule Variance (SV) of -Rp120,057,209.0, indicating project schedule delays. In terms of cost, the Cost Performance Index (CPI) was 0.99, and the Cost Variance (CV) was -Rp26,459,888.0, showing cost overruns, though still within a relatively controlled limit. The probability of project completion reached 90% by the 30th week. Optimization through acceleration methods proved effective in reducing project duration with controlled additional costs. Therefore, better mitigation strategies are needed to minimize time and cost deviations in similar future projects.]]>
