Universitas Islam Kuantan Singingi: E-Journals
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Design and Development of a Digital Library System Using PHP For Optimizing Library Services at SMK Negeri 1 Luragung
Full text linkThis study aims to develop a PHP-based digital library system as a solution to the conventional library service problems at SMK Negeri 1 Luragung. The existing manual processes for borrowing and returning books make it difficult to track collections accurately and reduce overall operational efficiency. To address these issues, this research adopts a Research and Development (R&D) model using the ADDIE approach, which consists of five systematic stages: Analysis, Design, Development, Implementation, and Evaluation. At the analysis stage, library needs and user problems were identified. The design stage involved creating system flowcharts, database structures, and interface mockups. During development, a web-based application was built using PHP and MySQL with key features such as member management, book collection management, borrowing and returning modules, and QR code integration for faster transactions. The system was then implemented and tested with actual users. The evaluation was carried out using the Usability (USE) Questionnaire, focusing on usefulness, ease of use, ease of learning, and user satisfaction. The results showed significant improvements in accessibility, transaction efficiency, and overall user experience. Based on these findings, the developed system is considered feasible and highly suitable for implementation as a digital solution for school library management
Mobile Application for Integrated Forest and Land Fire Reporting utilizing AI and Community Participation for Disaster Mitigation
Full text linkForest and Land Fires in Indonesia represent a chronic disaster with multidimensional impacts, marked by economic losses reaching Rp. 72.8 trillion in 2022 and severe data fragmentation. Conventional reporting systems, dominated by manual mechanisms (85%), create a temporal crisis, causing response delays of 24 to 48 hours. This research aims to design and develop an integrated mobile application prototype that combines predictive Artificial Intelligence (AI) with community participation (crowdsourcing) to address this gap. The methodology used is Research and Development (R&D), beginning with an in-depth needs analysis of 150 respondents in Riau. A three-tier system architecture is implemented, consisting of a Mobile Layer (Flutter), a Firebase-based Backend as a Service (BaaS), and a Machine Learning Engine (TensorFlow) with a Random Forest (RF) model optimized for peatland characteristics. Initial results show an RF model accuracy of >= 80% on internal validation data and 90% user approval for the minimalist UI/UX design. This prototype is explicitly engineered to achieve a system response time of < 1 minute and a prediction accuracy of >= 85%, making it an innovative solution that enhances response speed, operational resilience, and disaster mitigation effectiveness in Forest and Land Fires-prone areas like Riau Province.
 
Analysis of Alfagift Application User Satisfaction Using the SWOT Method
Full text linkE-commerce has grown tremendously in recent years, with many platforms offering a wide range of products and services. Alfagift, as one of the e-commerce applications, provides convenience for users to shop online with various attractive features, such as promos and discounts. The app is designed to meet the needs of users who want a convenient and efficient shopping experience. This study aims to determine the level of customer satisfaction by using the Swot (Strengths, Weaknesses, Opportunities, Threats) method to evaluate the satisfaction of Alfagift application users. The SWOT method was chosen because of its ability to provide a thorough analysis of internal and external factors that affect user satisfaction, as well as the opportunities and threats that exist in the e-commerce market. From the results of the variance value reliability test, where the score for a positive review value of 4.47 which shows that the user has a very good experience with the use of the alfagift application with a variance value of 0.25, it shows that the score of giving positive reviews has an interesting experience. The calculation of Cronbach's Alpha value obtained was 0.828 which is in the "Good" category and indicates a high reliability instrument, so the data collected can be relied on for further analysis
Analysis Of The K-Means Method For Classifying The Quality Of Palm Oil Fruit Bundles
Full text linkThis study discusses the application of K-Means Clustering and Single Linkage algorithms in classifying the quality of Fresh Fruit Bunches (FFB) of oil palm based on four main variables: ripeness level, oil content, bunch weight, and water content. The dataset consists of ten harvest records representing variations in FFB characteristics. The analysis process began with Min–Max normalization, followed by clustering using K-Means (k=3) and Single Linkage (Hierarchical). The results showed that K-Means produced a lower Sum of Squared Error (SSE) (215.32), indicating more compact and homogeneous clusters, while Single Linkage achieved a higher Silhouette Score (0.914) compared to K-Means (0.892), reflecting clearer separation between clusters. This implies that K-Means is more suitable when compactness is prioritized, whereas Single Linkage performs better when the goal is natural separation. The implementation was carried out through a web-based system at PT. Teguh Karsa Wanalestari 2 Pom, Siak Regency, Riau, to address the problem of manual and subjective FFB quality assessment. The system enables real-time data input, automated calculations, evaluation with SSE and Silhouette Score, and presents results in tables, graphs, accuracy reports, and Gmail notifications. With this system, FFB quality can be consistently grouped into three grades (A, B, C), supporting decision-making in harvesting, distribution, and processing more objectively and efficiently to maintain Crude Palm Oil (CPO) quality
Response Growth of Explant Organs Seed of Red Dragon Fruit (Hylocerus polyrhizus) On MS Media (Murashige and Skoog) by Adding Kinetin And Sucrose
Full text linkDragon fruit, also known as pitaya, is a plant that originates from Central and South America and is classified as a type of cactus. It belongs to the genus Hylocereus and the family Cactaceae. This research investigates the growth response of explant organs from red dragon fruit (Hylocereus polyrhizus) on Murashige and Skoog (MS) media by adding kinetin and sucrose. The study was conducted in the UPT Seed Network Plant Food Horticulture Laboratory in Riau Province, located on Kaharudin Nasution Road, Crossroads Three Sub-district, Bukit Raya District, Pekanbaru City, for 4 months. This research This Design Random Complete (RAL) Factorial consists of 2 level treatment with three repetitions. The results of the study indicate that the concentrations of Kinetin and Sucrose have a significant impact on the observed parameters. The treatment with kinetin yielded the best results for the number of shoots, shoot height, and thorns compared to the control treatment without kinetin. Specifically, the average results were 1.47 shoots, a shoot height of 1.65 cm, and 16.83 thorns in the control group. In contrast, the treatment with 5 mg/L Kinetin produced an average of 3.50 shoots, while the treatment with 2.5 mg/L Kinetin resulted in a root length of 6.88 cm. For the Sucrose treatment, the optimal concentration was found to be 60 g/L, which resulted in an average of 1.42 shoots, a shoot height of 1.18 cm, and a root length of 7.64 cm. The treatment with 40 g/L Sucrose yielded an average of 10.94 thorns and 3.69 roots. The study also revealed a significant interaction between Kinetin and Sucrose, particularly affecting the number of thorns. The treatment with 2.5 mg/L Kinetin and 40 g/L Sucrose resulted in an average of 14.22 thorns, while the combination of 2.5 mg/L Kinetin and 20 g/L Sucrose produced an average root length of 8.65 cm. These findings provide valuable insights into the effects of Kinetin and Sucrose on the growth parameters of Hylocerus Dragon Fruit (Hylocereus polarizes)
Identifying the Potential Medicinal Plants in Tualang District, Siak Regency
Full text linkMany individuals residing in the Tualang District cultivate various medicinal plants; however, a significant portion of the population lacks awareness regarding the specific types and associated therapeutic properties. In general, only parents possess this knowledge. Therefore, further research is necessary to explore the variety and advantages of medicinal plants. The primary objective of this research is to categorize different varieties of therapeutic flora, their advantages, methods of application, and techniques for cultivation within the Tualang District. This research was carried out utilizing a survey methodology, employing various data collection methods, including interviews, and identifying and documenting medicinal plants. The study involved conducting observations and collecting data on the various types of medicinal plants, their associated benefits, methods of utilization, and cultivation practices as practiced by the residents of Tualang District. The data analysis in this research employed quantitative descriptive and qualitative descriptive methods. The information is displayed in tabular format. The research findings demonstrated that the respondents in Tualang District utilized and cultivated 41 different types of medicinal plants. Participants employed different methods to use medicinal plants. Participants cultivated medicinal plants through stem cuttings, rhizome cuttings, grafting, and direct seed planting. Medicinal plants are maintained through various agricultural practices, including watering, weeding, hilling, fertilizing, and implementing measures to control pests and diseases
Growth and Yield of Sweet Corn Plants (Zea mays L Var saccharata.) Effect of Providing Various Nitrogen Sources and Pruning Techniques
Full text linkCorn is a vital food component primarily due to its high carbohydrate content. This research examines the effects of various nitrogen sources and pruning methods on the growth and yield of sweet corn. The investigation occurred in Tambon Tunong Village, located in the Dewantara District of North Aceh Regency, and in the Laboratory of the Faculty of Agriculture at Malikussaleh University from February to May 2024. A randomized block design (RAK) was employed for the experimental setup, incorporating two main factors: nitrogen sources (ZA fertilizer, HX Nitro fertilizer, and Urea fertilizer) and pruning methods (No Pruning, Pruning at 45 days after sowing (HST), and Pruning at 55 HST). Nine treatment combinations were evaluated, each replicated three times, resulting in 27 experimental units with 15 plants per unit, culminating in 405 plants. The findings indicated that urea fertilizer at 300 kg/ha produced the most favorable results regarding plant height, stem diameter, cob weight, and overall corn yield (10.79 tons/ha). Additionally, pruning at 45 HST resulted in the highest measurements for stem diameter, leaf count, and corn yield (7.81 tons/ha)
Exploration and Identification of Banana Plant Morphology on Pagai Island, Mentawai Regency
Full text linkPagai Island is recognized as one of the primary centers for banana cultivation in West Sumatra. To date, the banana resources on Pagai Island have not been adequately exploited, raising concerns regarding the potential loss of germplasm if these resources are not conserved and managed effectively. The management of genetic resources can be achieved through germplasm collection via exploration activities. This study aims to provide information on the distribution and diversity of bananas on Pagai Island, located in the Mentawai Islands Regency. The research was conducted from July to November 2024. Sampling was performed using purposive sampling methods, and morphological characterization was conducted utilizing the 1996 IPGRI descriptors. The distribution of bananas is illustrated through a distribution map generated from coordinate point data using the ArcGIS 10.8 application. In contrast, the morphological characterization data is represented as a dendrogram created with the Ntsys Ver 2.02 application. The exploration yielded 22 banana accessions. Morphological characterization focused on various traits, including pseudostem tapering, anthocyanin coloration of the pseudostem, crown compactness, growth habit of the plant, petiole attitude, wing presence at the base, midrib color on the lower side of the leaf blade, leaf blade base shape, Waxiness on the lower side of the leaf blade, glossiness on the upper side of the leaf blade, and peduncle curvature. The results indicated that among the 22 banana accessions, the similarity level ranged from 42% to 100%
Optimizing The Growth of Corn Plant (Zea mays L) Local Variety of North Sumatera, which has been Irradiated with Gamma-Rays M1 with Urea Fertilizer Application
Full text linkCorn (Zea mays L.) is the second most important food crop after rice and is a cereal crop that grows in various regions worldwide. Local varieties of corn in North Sumatra require high nutrient levels for optimal cultivation, particularly nitrogen (N), which is commonly supplied through urea fertilizer. The high demand for nitrogen in urea often leads farmers to apply it in inappropriate doses, resulting in several agronomic issues. This study aims to evaluate the growth of local varieties of corn in North Sumatra in response to different doses of urea fertilizer. The research was conducted in the experimental field in Perbaungan Village, Hulu Bilah District, Labuhanbatu Regency, North Sumatra, from December 2024 to February 2025. A Non-Factorial Completely Randomized Design (CRD) was employed, consisting of five treatment levels, each repeated four times. The urea fertilizer doses applied were as follows: control (no treatment), 2 g/polybag, 4 g/polybag, 6 g/polybag, and 8 g/polybag. The results indicate that varying doses of urea fertilizer significantly influence the growth of local North Sumatra corn plants, particularly in plant height and stem diameter. The optimal dose of urea fertilizer for promoting the development of these corn plants is determined to be 4 g/polybag
Increasing the Growth and Production of Chili Plants (Capsicum annum var longum) by administering various Concentrations and Doses of JAKABA Biofertilizer
Full text linkChile is a commodity characterized by volatile prices and is a significant contributor to inflation in the Indonesian economy. The agricultural sector faces several challenges, including technical cultivation issues, pest and disease infestations, and low productivity. An innovative fertilization approach utilizing Jakaba biofertilizer, derived from fermented organic matter rich in nutrients and microbes, was explored to address these challenges. This research aimed to evaluate the effectiveness of Jakaba in cultivating chili plants. This research used a factorial method with a completely randomized design (CRD). The first factor was the dosage of Jakaba fertilizer, which consisted of three levels: 100 ml, 200 ml, and 300 ml. The second factor was the fertilizer concentration, with 20 ml/L, 50 ml/L, 90 ml/L, and 140 ml/L. The results indicated that the application of Jakaba biofertilizer, in terms of both concentration and dosage, had a similar effect on all growth parameters of chili plants. The microbiological analysis involved isolating microbes from the biological fertilizer yielded 10 microbial isolates, comprising 4 fungal isolates and 6 bacterial isolates. The study revealed a carbon-to-nitrogen (C/N) ratio 6.598, indicating that the fertilizer had undergone decomposition and contained low nutrient content. Nutrient analysis showed an organic carbon content of 0.239%, total nitrogen of 0.0365%, a C/N ratio of 6.598, a P2O5 value of 0.02125%, and a total potassium (K) value of 0.0205%