International Journal of Science, Technology & Management (IJSTM)
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Slum Structuring Strategy With Collective Housing Concept
No full textTelaga 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
No full textStudent 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.
 
Analysis of Public Satisfaction Levels Towards Hospital Services Using The K-Nearest Neighbors Method (Case Study: XYZ Regional Public Hospital)
No full textThe level of public satisfaction with health services is an important indicator that reflects the quality of services provided by a hospital. XYZ Hospital, as one of the main health service providers, strives to continuously improve the quality of its services by understanding and evaluating the level of patient satisfaction. However, challenges arise when it comes to accurately identifying and predicting patient satisfaction, given the diverse characteristics of patients and the complexity of the services provided. Therefore, this study aims to analyze the level of public satisfaction with XYZ Hospital services using the K-Nearest Neighbors method. This study employs a quantitative approach by utilizing patient satisfaction data obtained through a survey. We then analyze the data using the K-Nearest Neighbors method, known for its effectiveness in classifying based on data proximity. We carry out the model performance evaluation process through an evaluation matrix that includes accuracy, precision, recall, and F1-score. The results of the study show that the K-Nearest Neighbors model is able to classify patient satisfaction with an accuracy value of 94%, precision of 97.67%, recall of 95.45%, and F1-Score of 96.55%. These results indicate that the K-Nearest Neighbors model is not only accurate in predicting patient satisfaction but also consistent in classifying patients who are satisfied and dissatisfied. The study's conclusion is that the K-nearest neighbors method is very effective in analyzing and predicting the level of patient satisfaction at XYZ Hospital. This study makes a significant contribution by utilizing the K-Nearest Neighbors model as a potent predictive tool for assessing patient satisfaction, a tool hospitals can employ to enhance service quality. We hope that further development will enable the larger-scale implementation of this model, thereby enhancing the quality of health services across various hospitals
Effectiveness of Rhizobacteria from Muting District (DMSJ 3) and Semangga District (DSK 3) in Increasing Rice Yield (Oryza Sativa L.) Under Drought Stress
No full textDrought is a climatic phenomenon that can significantly disrupt the growth and reduce the yield of rice plants. Inoculation of rhizobacteria can increase the yield of rice plants under drought stress conditions. The research was conducted at the Agrotechnology Laboratory of Agronomy Unit and Experimental Garden II of Faculty of Agriculture, Halu Oleo University, Kendari from October 2024 to January 2025. The treatments in this study were drought stress and rhizobacterial isolates. Drought stress treatment consisted of control (K0), 25% drought stress (K1), 50% drought stress (K2) and 75% drought stress (K3) while rhizobacterial treatment consisted of control (B0), isolate DMSJ 3 (B1) and isolate DSK 3 (B2). Each treatment was repeated 3 times, the treatment pots were arranged according to a split-plot design consisting of 5 polybags. Observational data were statistically analyzed using analysis of variance at the real level ? 0.05 and will be further tested with DMRT ? 0.05 if it shows a significant effect. The results showed that inoculation of rhizobacterial isolates DMSJ 3 and DSK 3 was able to increase plant yield under drought stress conditions characterized by an increase in the number of productive tillers, flag leaf area, flowering age, total grain per panicle, percentage of filled grain per panicle, 1000 grain weight, grain weight per panicle, yield and drought tolerance index. Isolates DMSJ 3 and DSK 3 have the same ability to increase yield and induce resistance of rice plants to drought stress conditions
The Effect Of Using UV Plastic Shade And Soil Amendments In Suppressing The Presence Of Thrips Pests On Tomato Plants In Dry Land
Full text linkThis 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
Full text linkThis 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)
No full textFinancial 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
No full textShort-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
No full textThis 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
No full textThis 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