Jurnal Universitas Siliwangi
Not a member yet
2884 research outputs found
Sort by
MODEL KEMITRAAN PKBM, DUNIA INDUSTRI, DAN PEMERINTAH UNTUK PEMBERDAYAAN EKONOMI MASYARAKAT MELALUI PENDIDIKAN KEWIRAUSAHAAN
Get PDFStrategic partnerships among Community Learning Centers (PKBM), industries, and governments play a critical role in empowering community economies through entrepreneurship education. This study aims to identify and develop an effective collaborative model that integrates multiparty efforts to support entrepreneurship training based on local needs. The research employed a qualitative-descriptive method with a case study approach at PKBM Attarbiyah, Arjasari District, Bandung Regency. Data were collected through in-depth interviews, observations, and document analysis. The findings reveal that collaboration involving industries in providing technology-based training, government support through policies and regulations, and PKBM as program facilitators effectively enhances learners' entrepreneurial skills and strengthens local economic ecosystems. This model resulted in a 40% increase in learners' economic independence through training tailored to local industrial demands. The implementation of this model underscores the importance of multiparty synergy in ensuring the sustainability of entrepreneurship education. These findings support the development of policies and practices in community education aligned with the goals of community-based economic empowerment
Pengaruh Perubahan Iklim Terhadap Produktivitas Kopi Arabika di Kabupaten Bandung
Get PDFKabupaten Bandung merupakan sentra produksi kopi Arabika di Jawa Barat yang memiliki kondisi geografis ideal untuk pertumbuhan tanaman kopi. Namun, perubahan iklim seperti peningkatan suhu dan perubahan pola curah hujan menyebabkan penurunan produktivitas kopi serta kualitas biji. Penelitian ini bertujuan untuk mengidentifikasi pengaruh curah hujan dan suhu terhadap produktivitas kopi Arabika menggunakan metode Geographically Weighted Regression (GWR). Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan analisis data sekunder berupa peta curah hujan, suhu, dan produktivitas. Data diolah menggunakan aplikasi ArcGIS versi 10.8 untuk menghasilkan peta spasial serta MGWR untuk regresi antara variabel iklim dan produktivitas. Hasil penelitian menunjukkan adanya variasi spasial dalam pengaruh curah hujan dan suhu terhadap produktivitas kopi Arabika di Kabupaten Bandung. Peningkatan suhu dan perubahan pola curah hujan menyebabkan penurunan hasil, kualitas biji, serta meningkatkan serangan hama dan penyakit. Penelitian ini memberikan wawasan penting bagi pengelolaan perkebunan kopi secara berkelanjutan dan sebagai dasar untuk pengambilan kebijakan dalam menghadapi dampak perubahan iklim terhadap sektor pertanian di masa depan.Kabupaten Bandung merupakan sentra produksi kopi Arabika di Jawa Barat yang memiliki kondisi geografis ideal untuk pertumbuhan tanaman kopi. Namun, perubahan iklim seperti peningkatan suhu dan perubahan pola curah hujan menyebabkan penurunan produktivitas kopi serta kualitas biji. Penelitian ini bertujuan untuk mengidentifikasi pengaruh curah hujan dan suhu terhadap produktivitas kopi Arabika menggunakan metode Geographically Weighted Regression (GWR). Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan analisis data sekunder berupa peta curah hujan, suhu, dan produktivitas. Data diolah menggunakan aplikasi ArcGIS versi 10.8 untuk menghasilkan peta spasial serta MGWR untuk regresi antara variabel iklim dan produktivitas. Hasil penelitian menunjukkan adanya variasi spasial dalam pengaruh curah hujan dan suhu terhadap produktivitas kopi Arabika di Kabupaten Bandung. Peningkatan suhu dan perubahan pola curah hujan menyebabkan penurunan hasil, kualitas biji, serta meningkatkan serangan hama dan penyakit. Penelitian ini memberikan wawasan penting bagi pengelolaan perkebunan kopi secara berkelanjutan dan sebagai dasar untuk pengambilan kebijakan dalam menghadapi dampak perubahan iklim terhadap sektor pertanian di masa depan
POLA SISTEM PANGAN MASYARAKAT ADAT KAMPUNG NAGA KABUPATEN TASIKMALAYA
Get PDFFood is a basic need whose fulfillment is mandatory and urgent and its sustainability needs to be ensured. The recent approach to food provision has highlighted the food system implemented by indigenous peoples in various regions which is still carried out traditionally and pays great attention to the balance of nature, including the indigenous people of Kampung Naga. This study aims to describe and construct the pattern of the food system that has been implemented by the indigenous people of Kampung Naga. This study was designed qualitatively using a systems thinking approach. which is depicted in a causal loop diagram (CLD) located in Kampung Naga, Neglasari Village, Salawu District, Tasikmalaya Regency. The data used in this study are primary data obtained through in-depth interviews and Focus Group Discussions (FGD) with several informants involved, while secondary data were obtained from various related literature. The results of the study indicate that the food system of the indigenous people of Kampung Naga includes various components that are interrelated with each other, such as social systems and ecological systems that intersect with production, management and processing systems, local mitigation systems and the food consumption system of the indigenous people of Kampung Naga which is still carried out traditionally and considers aspects of sustainability. The results of this study are expected to provide an overview in formulating the concept of sustainable food system management
"CASE STUDY: THE MOST POPULAR METHOD FOR SOLVING SYSTEMS OF LINEAR EQUATIONS"
Get PDFThe system of linear equations is a material that is studied from the junior high school level to the lecture level so that this material is very important material in learning mathematics. The purpose of this research is to find out what methods are easy and widely used by students in solving the system of linear equations. This research is a qualitative research with case study type. The participants of this study were 10 students of Indraprasta PGRI university. Data were collected by task-based interviews which aimed to dig deeper into the easiest and fastest method to solve the system of linear equations. The data analysis technique used in this study uses Bogdan Biklen technique with stages: data reduction, coding, determining themes, concluding. The results showed that there are 5 methods that can be used in solving the system of linear equations, namely: Cramer Method, Ajoin Matrix Method, Gaus Method, and Gaus Jordan Method. Of the four methods, according to the results of student tests, the best value is obtained with the Cramer Method, this is reinforced by the results of interviews conducted by students who said that the Cramer method is the easiest and fastest method to solve the system of linear equations. While the Gaus method is the most difficult method to solve the system of linear equations.Keywords: System of linear equations, Method, Case Stud
DESIGNING HYPOTHETICAL LEARNING TRAJECTORIES FOR SET THEORY USING SCHOOL SNACK CONTEXTS IN MIDDLE SCHOOL
Get PDFThis study aims to design and implement Hypothetical Learning Trajectory (HLT) on set material with the context of school snacks for Junior High School students. The main focus of this study is to support students' understanding of basic set concepts, such as subsets, intersections, and unions, through a contextual approach that is relevant to students' daily lives. The research method used is educational design research, which includes the planning, implementation, and analysis phases of learning outcomes. The subjects of the study were grade VII students at a junior high school in Tasikmalaya City. The research instruments included: observation sheets, concept understanding tests, and interviews to explore students' thinking processes during learning. The results showed that the use of the school snack context was relevant to the topic of sets and was able to increase students' interest and motivation in learning set material. Students' conceptual understanding also increased significantly, especially in identifying set elements, as well as understanding intersections and unions between sets through visual representations and group activities. The discussion of these results emphasizes that HLT with everyday contexts, such as school snacks, provides opportunities to link abstract material to students' real experiences, thus facilitating meaningful learning. The implementation of this research provides practical implications for teachers in designing context-based learning that can be used for other materials, as well as a reference for developing a curriculum that is more relevant to life.
STUDENT ERROR IN CIRCUMFERENTIAL AND CIRCULAR AREA MATERIALS: ANALYSIS BASED ON THE NOLTING CLASSIFICATION
Get PDFThis study aims to analyze students' errors in solving problems around the perimeter and area of the circle based on the error category according to Nolting. These errors include conceptual, procedural, and calculation errors. The method used in this study is qualitative descriptive. The subjects of the study were 30 grade VIII students from a junior high school in Tasikmalaya. Research instruments included a written test designed to identify the type of error according to Nolting as well as a semi-structured interview to dig deeper into the causes of the error. The results showed that 28.5% of students experienced conceptual errors, 53.5% of students experienced procedural errors and 14.2% of students experienced calculation errors. Most students experience conceptual errors because they make mistakes in using the circumference and circle area formulas. Students also tend to make mistakes in distinguishing diameters and radius, as well as calculation errors on decimal numbers in multiplication and division operations. The discussion underlined that procedural errors are mostly caused by students' lack of conceptual understanding of the circle formula, while calculation errors often arise due to a lack of precision. The implementation of this research can be used by mathematics teachers to design more effective teaching strategies in overcoming students' systematic errors, such as emphasizing the understanding of basic concepts before introducing more complex problems, as well as increasing exercises that involve the application of formulas in a variety of ways
Approximate Bayesian Inference for Bayesian Confidence Quantification in DNA Sequence Classification Using Monte Carlo Dropout Approach
No full textSplice junction classification in DNA sequences is critical for understanding genetic structures and processes, particularly the differentiation between exon-intron (EI), intron-exon (IE), and neither boundaries. Traditional neural network models achieve high accuracy but often lack the ability to quantify uncertainty, which is essential for reliability in sensitive applications such as bioinformatics. This study addresses this limitation by incorporating Bayesian confidence quantification into DNA sequence classification using the Monte Carlo Dropout (MCD) approach. A baseline neural network was first implemented as a reference, achieving a test accuracy of 95.61%. Subsequently, MCD was applied, which not only improved the test accuracy to 96.03% but also provided uncertainty estimation for each prediction by sampling multiple inferences. The uncertainty values enabled the identification of low-confidence predictions, enhancing the interpretability and reliability of the model. Experiments were conducted on a binary-encoded DNA sequence dataset, representing nucleotides (A, C, G, T) and their splice junctions. The results demonstrated that MCD is a robust approach for DNA sequence classification, offering both high predictive performance and actionable insights through uncertainty quantification. This research highlights the potential of Bayesian confidence quantification in genomic studies, particularly for tasks requiring high reliability and interpretability. The proposed approach bridges the gap between accurate predictions and the need for robust uncertainty estimation, contributing to advancements in bioinformatics and machine learning applications in genetic research
STRATEGIC PLANNING OF BUSINESS INTELLIGENCE OPTIMIZATION OF DIGITAL MARKETING CONTENT AT PT. SOKA CIPTA NIAGA USING BUSINESS MODEL CANVAS
Get PDFThrough implementation comprehensive methodology , research This analyzing digital marketing strategy of PT. Soka Create Commerce in digital marketing strategies in the industry halal fashion . SWOT analysis identifies strength in live streaming and education content , with focus on human resource and equipment limitations . PEST analysis shows How environment influenced by halal regulations that prevent and encourage style life healthy . Instagram performance shows improvement range by 81% with expansion significant geographic and segmentation audience aged 18-34 years . The Business Model Canvas presents a proposal for product fashion class above which is halal certified and has integrated multi- channel distribution . In conclusion , PT. Soka Create Commerce need continue transformation digital with focus on development human resources and technology capacity For optimize market opportunities and facing competition industry. Method Business Model Canvas can make effective company in design and implement knowledge business For increase performance achievement digital marketing content . With do SWOT analysis in comprehensive , business can identify the right strategy For increase Power compete , reduce risk , and take advantage of source available power . Strategies based on SWOT analysis can covers Power competition , diversification product , market expansion , optimization technology information , management risk , and adaptation business . SWOT analysis is very useful tool For help business identify factors key influencing performance them , develop a comprehensive and thorough strategy For growth , and develop decision more strategic effective [3]. PEST is analysis management strategic that identifies factor macro external influences business
Islamic Cooperatives: A Review of the Theory of Truth in Islamic Economic Philosophy
Get PDFIntroduction to The Problem: Islamic cooperatives have an important role in the national economy, especially for business actors in the Micro, Small and Medium Enterprises sector. However, currently the function and role of this financial institution cannot run optimally because it is faced with problems originating from internal and external Islamic cooperatives. This is allegedly contrary to the theory of truth in Islamic philosophy.Purpose/Objective Study: This research aims to examine and analyse the role and function of Islamic cooperatives in terms of the theory of truth in Islamic philosophy.Design/Methodology/Approach: This research is a type of qualitative research in the form of library research which is qualitative in nature.Findings: Islamic cooperatives have a strategic role in supporting the development of MSMEs, with approaches that are aligned with theories of truth, such as correspondence theory that emphasises conformity with reality, coherence theory that prioritises consistency in value systems, pragmatism theory that focuses on practical benefits, and performative theory that assesses the effectiveness of actions in achieving goals. The low level of Islamic financial literacy among MSME players, which often hinders their understanding of the benefits of Islamic financing. In addition, intense business competition in the market is also a significant obstacle that requires a special strategy. By overcoming these obstacles, Islamic cooperatives can further strengthen their function as a key pillar in supporting the sustainable growth of MSMEs.Paper Type: Research Articl
The Wordwall-Based Gamification in Teaching English Vocabulary
Get PDFThis study explores the effect of Wordwall-based gamification strategy in improving English vocabulary mastery among Junior High School students. This study uses a quantitative approach with a one-group pretest-posttest experimental design. Participants consisted of 22 seventh grade students selected based on their low English learning outcomes. Data were collected through vocabulary tests given before and after the intervention. Statistical analysis, using normality tests, descriptive statistics and paired sample t-tests. The results of this study indicate that learning with Wordwall media gamification strategy can significantly improve students' English vocabulary (sig. (2-tailed) 0.00 0.05) which indicates an increase in English vocabulary mastery after the intervention. It is concluded that the use of Wordwall is effective in improving students' vocabulary