Universitas Islam Kuantan Singingi: E-Journals
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Comparative Sentiment Analysis of Indonesian Leadership Transitions on Platform X Using LSTM and Naïve Bayes: A Dual-Label Evaluation Using Lexicon-Based and Manual Annotation
No full textThis study compares Long Short-Term Memory (LSTM) and Naïve Bayes algorithms for sentiment analysis focused on leadership transitions within Indonesian social media. A dataset of 5,942 Indonesian-language tweets from platform X (formerly Twitter) was collected and labeled using both lexicon-based and manual annotation methods. Manual labeling was crucial to capture the nuanced and context-dependent sentiment often missed by lexicon-based techniques, especially during periods of heightened political discourse. The LSTM model was implemented for its ability to capture sequential dependencies in text, while Naïve Bayes was used as a computationally efficient baseline. Both models were rigorously evaluated using standard classification metrics, including accuracy, precision, recall, and F1-score. Experimental results show that LSTM achieved 71.6% accuracy with lexicon-based labels and 77.9% with manual labels. In comparison, Naïve Bayes achieved 61.5% and 78.2%, respectively. LSTM demonstrated better generalization across sentiment categories, particularly for neutral sentiments, while Naïve Bayes proved more effective on highly polarized datasets. These findings underscore the importance of strategic model selection based on data quality and labeling methods. The results offer valuable insights for political sentiment analysis and the development of data-driven decision-making tools in the digital political landscape
Implementation of the FP-Growth Algorithm for Bundling Strategy and Store Layout Redesign at Toko Kasih Ibu
Get PDFGrocery stores like Toko Kasih Ibu face increasing challenges in staying competitive against modern markets offering better convenience, product variety, and services. A notable sales decline in 2024 highlights the need for improved marketing and store layout strategies. This study analyzes purchasing patterns using the FP-Growth algorithm within a Market Basket Analysis (MBA) framework to design product bundling and optimal layout recommendations. Using the CRISP-DM approach, 468,507 transaction records from 2022–2024 were processed, followed by data preparation and transformation. The FP-Growth model was applied with a minimum support of 2% and confidence of 50%, resulting in 11 strong association rules—such as bundling Fom Burger Per 10, Pilus SP 500 RTG BAL, and Indomie Goreng PC. Additionally, category-level analysis using the Activity Relationship Chart (ARC) with the AEIOUX scale suggested reorganizing the store into four sectors to improve customer convenience and encourage combined purchases. The findings demonstrate that applying the FP-Growth algorithm with appropriate parameters offers valuable insights for effective bundling and layout strategies, supporting promotional efforts and sales goals
Designing an E-Commerce System for Local Products with Web-Based Map Integration Using The Laravel Framework
Get PDFThe development of information and communication technology has opened up new opportunities in promoting and marketing local products and tourist destinations. However, there are still many obstacles faced by local businesses, such as limited market access, lack of promotion, and the absence of marketing system integration. This research aims to design and implement a Harau local product e-commerce system with map integration on a Laravel-based web application. This platform is designed to facilitate the sale of local products while providing navigation of store locations through interactive maps. The system development method uses Agile methodology with Laravel framework and MVC architecture. The system successfully integrates role-based authentication features, product management, conventional payment systems, and digital mapping using Google Maps API and Leaflet Maps through the Laraflet plugin. The test results show a system validity rate of 75% based on expert assessment and an effectiveness rate of 80.33% based on user surveys. The system has met good quality standards with all main features functioning according to the black-box testing results. This platform makes a significant contribution to the empowerment of local MSMEs by providing innovative solutions to overcome location problems that have been the main obstacles for local businesses
Moisturizer Selection System According To Skin Type Using The Weighted Product Method
Get PDFChoosing the right moisturizer for your skin type is an important aspect of skin care to maintain health and avoid problems such as irritation, dryness, or excess oil production. However, users often have difficulty finding the right choice due to the wide variety of products available on the market. Therefore, this study aims to develop a Decision Support System that can help users choose the most suitable moisturizer based on their skin type, by utilizing the Decision Tree method. This method is used because it is able to classify skin types based on various parameters, such as moisture level, sensitivity, oil content, and tendency towards acne. This system is built by processing a dataset containing skin characteristics and the appropriate moisturizer content. The results of the study show that the developed system has a high level of accuracy in providing recommendations according to needs. With this system, users can easily find the right moisturizer for their skin type, thus supporting more optimal skin care
Analysis of Soil Chemical Properties in Oil Palm Plantation Land Produces in Tebing Tinggi Pangkatan Village Sub-district of Pangkatan
Get PDFOil palm (Elaeis guineensis) is a commercially significant plantation crop, primarily due to its production of crude palm oil (CPO), which finds applications in the food, cosmetics, and biofuel sectors. The fertility of the land is closely linked to the soil's chemical characteristics, including pH, nitrogen (N), phosphorus (P), potassium (K), organic carbon content, and cation exchange capacity (CEC). This study employed a field survey methodology, utilizing purposive sampling for data collection. Findings indicate that the soil in oil palm plantations exhibits an acidic pH range of 4.87 to 5.22 and a low organic carbon content between 0.90% and 1.05%, factors that may influence nutrient availability. While nitrogen levels (1.03% to 1.07%) and phosphorus concentrations (41.22 to 42.33 ppm) are relatively high, potassium levels (0.54 to 0.63 meq/100g) are low, potentially hindering plant growth. The cation exchange capacity, measured at 15.66 to 16.87 meq/100g, is categorized as moderate, suggesting that while the soil can retain nutrients adequately, enhancements in potassium availability are necessary
The Effect of Various Planting Media on The Growth and Yield of Microgreen Mustard (Brassica juncea L)
Get PDFMicrogreens are young plants from the vegetable group harvested at 10 to 15 days of age. Their short harvest period contributes to their high nutritional value. This study aimed to determine the effect of various planting media on the growth and yield of mustard greens (Brassica juncea L.). This research employed the following treatments: soil, cocopeat, rock wool, and rice husk charcoal. The data analysis method utilized was a non-factorial, Completely Randomized Design (CRD). The data obtained were analyzed using ANOVA, and if significant differences were found, further testing was conducted using the Least Significant Difference (LSD) method at the 5% level, employing the Microsoft Excel program. This study shows that the effectiveness of the treatment varies depending on the specific conditions and types of variables observed. Some treatments have a significant effect, while others have no significant impact. Planting media other than soil has been proven to be more optimal in supporting growth. Environmental factors, technical errors, and biological characteristics can affect the study's results, so it is necessary to control external factors and increase the number of repetitions to obtain more accurate and reliable data
Test The Effectiveness Botanical Insecticide of Citronella Leaf Extract (Cymbopogon nardus L.) to Control Stink Bug (Leptocorisa oratorius Fabricius) on Upland Rice
Get PDFLeptocorisa oratorius F. is one of the factors causing the decline in rice production. Appropriate and safe control measures for the environment need to be taken, considering that the use of chemical pesticides can have a negative impact on the environment. The treatment solution that can be used to deal with the stink bug pest (Leptocorisa oratorius F.) is by using plant-based pesticides which are known to be relatively safe because they do not pollute the environment and are easy to obtain. A plant that has the potential to be used as a botanical insectiside is citronella (Cymbopogon nardus L). The research aims to obtain a concentration of citronella leaf extract (Cymbopogon nardus L) that is effective in controlling the stink bug pest (Leptocorisa oratorius F.) on rice plants. The research was carried out at the Plant Pest Laboratory and Greenhouse, Faculty of Agriculture, Riau University, which was carried out for three months from Januari to Maret 2023. The research was carried out experimentally using a completely randomized design (CRD) consisting of five treatments and four replications so that 20 experimental units were obtained with various concentrations, namely 0 g.l-1 water, 25 g.l-1 water, 50 g.l-1 water, 75 g.l-1 water, 100 g.l-1 water. The results showed that the application of the stems and citronella leaves extract concentration of 75 gl-1 water is an effective concentration for controlling L. oratorius because it can cause a mortality of 85% with an initial time of death of 17.75 hours after application and a lethal time of 50 at 61.25 hours after application. The exact concentration of peper elder extract to control 50% of Leptocorisa oratorius is 4.31% or the equivalent of 43.1 g.l-1 water
Effectiveness of Drying Methods on The Quality and Physicochemical Characteristics of Dried Gac Fruit (Momordica cochinchinensis Spreng)
Get PDFGac fruit is renowned for its rich content of bioactive compounds, including lycopene, β-carotene, and vitamin E, which provide significant health benefits. However, due to its high moisture content, the fruit is highly perishable and requires proper postharvest handling to extend its shelf life. Drying is one of the most common preservation techniques employed to retain nutritional and functional qualities while reducing water activity. This study aims to evaluate the influence of different drying methods, specifically oven drying, vacuum drying, and sunlight drying. The results indicate that vacuum drying exhibits the highest IC50 inhibition compared to both solar and oven drying methods; however, there is no significant difference in inhibition between the solar and oven drying methods. In lightness (L value), sunlight and vacuum drying result in darker colors than oven drying. Still, there is no significant difference in brightness between sunlight and oven drying. The solar drying method exhibited the highest weight loss at 87.45%. However, there was no significant difference in the drying efficiency between the oven and vacuum oven methods. Microbial contamination under sunlight appears to be higher than in oven and vacuum drying; nonetheless, all methods remain acceptable as they fall below the safe limit. Based on these results, oven drying was selected for Gac fruit drying due to its favorable physicochemical outcomes and the shortest drying time. Additionally, oven drying proved to be the most balanced method, providing good retention of bioactive compounds, effective moisture removal, and acceptable microbial stability. Furthermore, oven drying produced the most visually appealing red hue, likely attributed to enhanced lycopene stability
Physiological and Morphological Characteristics of Several Rice Varieties (Oryza sativa L.) In the System of Rice Intensification (SRI) Cultivation using Different Numbers of Seeds
Get PDFRice (Oryza sativa L.) is a vital food crop that serves as the staple food for over half of the world's population due to its rich nutritional value. This study aims to determine the physiological and morphological characteristics of several rice varieties cultivated using the System of Rice Intensification (SRI) with varying seed densities. The research will be conducted in Geulumpang Payong Village, Jeumpa District, Bireuen Regency, situated at an altitude of approximately 0-969 meters above sea level (masl), from August to December 2024. The study will employ a Randomized Block Design (RBD) methodology. Two factors will be tested: rice varieties (Ciherang, Inpari 49, and Mustajab) and the number of seedlings per planting hole (4, 3, 2, and 1 seedling). A total of 12 treatments were conducted, with each treatment replicated three times, resulting in 36 experimental units. Each experimental plot measured 2 m x 2 m, with a planting distance of 25 cm x 25 cm, accommodating 81 plants per plot. Four sample plants were selected from each plot for analysis. The data obtained from the research were statistically analyzed using the F-test with SAS V9.12 software. If the analysis of variance indicated significant differences at the 5% level, a subsequent Duncan's Multiple Range Test (DMRT) was performed. The results suggested that the variety, number of seedlings, and their interaction did not show significant differences across all parameters. However, the Inpari 49 and Mustajab varieties, along with the treatment of four seedlings per planting hole, demonstrated relatively favorable outcomes
Improving the Quality of Coconut Fruit (Cocos nucifera L.) by Adjusting Planting Age
Get PDFCoconut (Cocos nucifera L.) is a strategic plantation crop in Indonesia, playing important roles in society, the economy, and industry. Indragiri Hilir Regency is the largest producer of coconut in Riau Province; however, productivity has declined as plantations have aged. This study aimed to analyze the quality of coconut fruit based on plant age. A non-experimental comparative observational design was employed with three plant age treatments (15, 20, and 25 years). Each treatment was replicated six times, yielding 18 experimental units. Each unit consisted of two sample plants, totaling 36 plants. The measured parameters included endosperm thickness (mm), oil yield (%), and oil moisture content (%). For oil yield and moisture analysis, two mature coconuts were collected from each plant and analyzed in the laboratory, resulting in 36 samples. Data were analyzed using one-way ANOVA, and significant results were further tested using Tukey's HSD at the 5% level. The results showed that plant age had a considerable effect on endosperm thickness, oil yield, and moisture content. These findings suggest that plant age affects coconut fruit quality, with 25-year-old trees producing the highest-quality fruits in the Tembilahan Hulu District, Indragiri Hilir Regency. This study offers recommendations for coconut farmers to optimize cultivation strategies, thereby enhancing production and fruit quality