International Journal of Science, Technology & Management (IJSTM)
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    The Effect Of Using UV Plastic Shade And Soil Amendments In Suppressing The Presence Of Thrips Pests On Tomato Plants In Dry Land

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    This study examined the control of thrips through technical culture on tomato plants by combining soil amendments and UV plastic shade. An experiment was conducted in dry land in Gumantar village, North Lombok Regency, from May to September 2024. This study tested three levels of soil amendments (without soil amendments, with chicken manure, and biochar) and two levels of shade (without shade and with UV plastic shade). The treatments were arranged factorially using a randomized block design with three replications. The population of thrips, both larvae and imago, and the intensity of thrips pest attacks were observed. The results showed an interaction between soil amendments and UV plastic shelters in suppressing the first instar larvae of thrips pests on young leaves. The soil amendment factor significantly affected the presence of first instar larvae on old and young leaves. The UV plastic shelter treatment had a significant impact on all observation parameters, namely thrips pest imago on old and young leaves, first instar larvae on old and young leaves, second instar larvae on old and young leaves, and the intensity of thrips pest attacks

    Sustainability Reporting and Firm Perfomance Based On Maqashid Sharia Perspective

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    This  study  aims  to  determine  the  effect  of  disclosure  of  sustainability  reporting  on  company  performance  based  on  maqashid  sharia  perspective  in  sharia  stock  indexed  companies  in  Indonesia. The  study  obtained  a  sample  of  52  companies  in  the  mining,  property  &  real  estate,  energy,  and  basic  industry  &  chemicals  sectors  listed  in  the  Indonesian  Sharia  Stock  Index  (ISSI)  during  2022-2023,  resulting  in  104  observations  through  purposive  sampling. The  data  analysis  technique  was  conducted  using  documentation  methods,  specifically  by  collecting  annual  report  data  and  sustainability  reports  from  the  sample  companies.  The  analysis  was  performed  using  multiple  regression  with  E-Views  13  software. Based  on  the  research  results,  the  Sustainability  Reporting   does  not  have  a  statistically  significant  effect  on  the  Maqashid  Syariah  Index. This  research  indicates  that  companies  listed  in  the  Indonesian  Sharia  Stock  Index,  although  they  have  demonstrated  concern  for  environmental  issues  and  social  interests  through  sustainability  reporting,  have  not  yet  fully  integrated  the  principles  of  Maqashid  Sharia  into  their  operational  practices  in  an  optimal  manner

    Achieving Business Sustainability Through Financial Literacy And Financial Inclusion In Financial Capital Mediation (A Study On Modern-Based Traditional Markets In Taluk Kuantan)

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    Financial literacy enables MSMEs to adopt financial technology, manage risks effectively, and adapt to market changes, increasing their competitiveness in an increasingly competitive market, especially in the digital era. This study aims to measure the influence of financial literacy, financial inclusion, and financial capital on business sustainability in the modern-based traditional market street vendor sector in Kuantan. This study uses a quantitative approach where primary data is collected through surveys and questionnaires from 77 respondents. Partial Least Square (PLS) statistical techniques are used to process the data. The results confirm the significant influence of financial literacy on business sustainability, both directly and indirectly through financial capital. Furthermore, there is an insignificant influence on business sustainability variables through financial capital. Therefore, there is an influence originating from other variables outside the study. The results also show that the intervening variables here have a significant influence on business sustainability variables. Therefore, it can be concluded that the higher the financial literacy of traditional market street vendors, the better the business sustainability will be

    Short-Circuit Analysis of the Saparua Distribution Feeder Network

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    Short-circuit faults are a type of disturbance that impedes the transmission of electrical energy. To protect equipment from the impact of such faults, short-circuit analysis is conducted. In this study, the magnitudes of phase-to-phase and phase-to-ground short-circuit currents are calculated, along with the determination of overcurrent relay and circuit breaker ratings on the distribution network of PT PLN Saparua Rayon, Maluku. The analysis is carried out using ETAP software on generator busbars and feeders at various fault locations. PT PLN (Persero) Saparua Rayon operates four feeders: Saparua, Pohar, Tenggara (Southeast), and Hatawano. Simulation results show that the Saparua feeder has the highest fault current at bus 6 under an L-L-G fault condition, while the Tenggara, Hatawano, and Pohar feeders exhibit their highest fault currents at the generator bus under an L-G fault. It is evident that the L-L-G (double line-to-ground) fault consistently generates the highest short-circuit current when compared to other types of faults such as L-L (line-to-line) and three-phase faults. This type of fault involves a direct connection between two phases and the ground, resulting in a larger fault current due to lower overall impedance at the fault point. Furthermore, it was observed that the magnitude of the short-circuit current decreases progressively with increasing distance from the power source. This behavior is primarily due to the increase in line impedance along the distribution path, which naturally limits the fault current as it travels farther from the generation point. In summary, the farther the location of the fault from the generator, the lower the resulting short-circuit current, which highlights the critical role of impedance in fault current behavior across the distribution network

    The Influence of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee Paylater Users

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    This study is entitled "The Effect of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee PayLater Users". This study aims to analyze the influence of Self-Control and Financial Attitude on the Financial Management Behavior of Shopee PayLater Users. Financial management behavior is a serious matter among young people, because they grow up amidst a lack of attention to their financial condition and debt that is very easy to obtain through the use of existing financial facilities. Self-Control and Financial Attitude are two factors that are thought to be able to influence Financial Management Behavior. This study uses a quantitative method with primary and secondary data obtained from research objects and data sources obtained through intermediary media. The sample in this study took 60 students of the Sampit College of Economics (STIE) who use Shopee PayLater. The data analysis technique used is multiple linear regression analysis to test the research hypothesis. The results of the study show that the results of the t-test (partial) indicate that Self-Control influences the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of >, namely 4.995 > 2.000324 with a significance level of 0.001 < 0.05. Financial Attitude influences the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of 3.425 > 2.000324 with a significance level of 0.001 < 0.05. The F test (simultaneous) shows that Self Control and Financial Attitude influence the Financial Management Behavior of Shopee PayLater users. This is evidenced by the value of 63.299 > 3.16 with a significance level of 0.000 < 0.05. These findings provide implications for Shopee PayLater users in understanding the factors that can influence financial management behavior before making decisions to use the services offered.

    The Influence of Influencer Marketing and Online Customer Reviews on Purchase Decisions with Mediator Brand Image

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    This study aims to analyze the influence of influencer marketing and online customer reviews on purchase decisions by examining the mediating role of brand image in the context of the TikTok social commerce platform. The novelty of this study lies in the integration of these three variables into a single relationship model on TikTok Shop, which is characterized by video content. This study used a quantitative approach with a purposive sampling method, involving 126 respondents in the Greater Jakarta area who were active users and had made purchases on TikTok Shop. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results show that influencer marketing and online customer reviews have a positive and significant influence on purchase decisions and brand image. Furthermore, brand image also significantly influences purchase decisions and mediates the relationship between influencer marketing and online customer reviews. These findings indicate that marketing strategies through influencers and customer reviews not only have a direct influence on purchase decisions but also an indirect influence through brand image formation. A strong brand image plays a crucial role in encouraging consumers to make purchase decisions on TikTok Shop

    Work-Life Balance, Organizational Support, And Job Burnout As Determinants of Turnover Intention In Generation Z

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    This study aims to analyze the influence of work-life balance and organizational support on job burnout and its implications for turnover intention among Generation Z educational staff at Esa Unggul University. This study used a quantitative approach with a survey method of 115 Generation Z respondents. The research instrument was a structured questionnaire that had been tested for validity and reliability. The collected data were analyzed using Structural Equation Modeling (SEM-PLS) using SmartPLS 4 software, which allows for simultaneous testing of causal relationships between variables. The results showed that work-life balance had a significant negative effect on job burnout and turnover intention. This means that the higher the level of work-life balance perceived by employees, the lower the risk of burnout and intention to leave. Furthermore, organizational support has been shown to play a significant role in reducing job burnout levels and reducing the likelihood of resignation. Conversely, job burnout has a significant positive effect on turnover intention, indicating that the higher the level of job exhaustion experienced, the greater the likelihood that employees will plan to leave the organization. Theoretically, this study expands the literature on Generation Z dynamics in the workplace, emphasizing the role of work-life balance and organizational support in influencing turnover intention. Furthermore, the results corroborate previous research findings that confirm a strong relationship between burnout and turnover intention. Practically, this study provides strategic recommendations for university management to strengthen employee wellness policies, develop work flexibility, provide career development programs, and build a supportive organizational culture

    Implementation of IoT in Inventory Management and Logistics at the Business Incubator Center of the Kosgoro Institute of Business and Informatics 1957

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    Inventory management and logistics are crucial aspects in the operation of business incubator centers, especially in ensuring the efficient availability and distribution of resources. This research aims to develop and implement an Internet of Things (IoT)-based system in inventory management and logistics at the IBIK57 Innovation Center and Business Incubator Center. The system is designed to provide automation solutions in goods tracking, stock monitoring, and asset distribution optimization using RFID sensor technology, QR codes, and cloud-based communication. The research methods used include literature studies, user needs analysis, IoT-based system design, implementation, and system performance evaluation. RFID sensors and QR codes are used to detect the presence and movement of goods in real-time, while the data obtained is sent to a cloud-based server for processing and analysis. With this system, it is hoped that inventory management will be more accurate, reduce the risk of asset loss, and increase the operational efficiency of business incubator centers. The results show that the application of IoT in inventory management and logistics is able to increase efficiency by up to 40% in stock recording and asset tracking compared to manual methods. In addition, the system also provides users with real-time access to manage inventory in a more transparent and integrated manner. In conclusion, the use of IoT in inventory management and logistics can be an innovative solution in improving the effectiveness of resource management in academic and business environments

    Slum Structuring Strategy With Collective Housing Concept

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    Telaga Tujuh Village, located in West Langsa Sub-district, Langsa City, on the eastern tip of Aceh, has a very high population density. In addition, 373 housing units in the village do not meet the technical criteria set out in the Minister of Public Works and Housing Regulation No.02/PRT/M/2016, and the city has limited access to critical infrastructure. Based on seven criteria, including building regularity, neighborhood road network, neighborhood drainage, drinking water needs, wastewater management system, waste management facilities and infrastructure, and fire protection facilities, Telaga Tujuh Village is classified as a severe slum, with an average slum rate of 100%. Discovering the structural needs of the slum environment in Telaga Tujuh Village and creating a structural design is the objective of this study. Five indicators - on-site upgrading, on-site relocation, on-site redevelopment, land sharing, and relocation - were used in the communal housing methodology in this study. On-site redevelopment was chosen as the minimum solution after the five indicators were selected using the Analytical Hierarchy Process (AHP) method. After on-site redevelopment, the settlement pattern in this area is in the form of an iron grid, with main centers-the construction of places of worship, village halls, auxiliary health centers (pustu), and village offices that function as government and community service centers-and supporting centers-education and neighborhoods-by providing public open spaces

    Implementation Of The Support Vector Machine Method In Predicting Student Graduation

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    Student graduation is an important indicator of the quality of education at a higher education institution. A high graduation rate not only indicates success in the learning process but also has a positive impact on the reputation of the institution. Conversely, a low graduation rate can be a signal of problems that require special attention. Various factors, both academic and non-academic, influence higher education institutions in ensuring timely student graduation. Therefore, we need a method that can accurately predict student graduation to carry out early intervention. This study aims to apply the support vector machine method in predicting student graduation. We chose this method due to its capacity to classify complex data. We use historical student data, such as Semester Achievement Index scores, as input variables to build a prediction model. We evaluate the model using precision, recall, and f1-score metrics. According to the study's findings, the support vector machine model's accuracy level is 71.20%. This method is good at predicting students who graduate with a precision of 95%, recall of 72%, and f1-score of 82%. However, the model's performance in predicting students who failed was less than satisfactory, with a precision of only 17%, a recall of 62%, and an f1-score of 26%. The imbalance in data between passed and failed students contributed to this result. The Support Vector Machine method effectively predicts student graduation for the majority class (passed), but requires special handling of the data imbalance to enhance the accuracy of predictions for the minority class (failed). Universities expect to use the results of this study to carry out early intervention and increase student graduation rates. &nbsp

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    International Journal of Science, Technology & Management (IJSTM)
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