Jurnal Universitas Siliwangi
Not a member yet
2884 research outputs found
Sort by
Sentiment Analysis of Societal Attitudes Toward the Childfree Lifestyle Using Latent Dirichlet Allocation and Support Vector Machines
Get PDFThis research investigates societal perspectives on the childfree lifestyle through Intent Sentiment Analysis, combining Latent Dirichlet Allocation (LDA) and Support Vector Machine (SVM) techniques. The childfree lifestyle, a deliberate decision by individuals or couples to remain childless, has spurred extensive public discourse, particularly on platforms like Twitter. This research aims to analyze sentiments and intentions within these discussions to uncover their implications for social dynamics and familial relationships. Using LDA, dominant topics were identified from a dataset of Twitter comments on the childfree topic. LDA uncovered hidden themes by modeling topics as mixtures of words, which were subsequently classified into positive, negative, and neutral sentiments using SVM. Data preprocessing included cleaning, tokenization, and stop word removal, while oversampling with SMOTE addressed class imbalances. The optimal number of topics was determined using coherence scores, with the highest coherence value of 0.400 achieved at one topic. The findings revealed that positive sentiments were classified more effectively than negative and neutral sentiments when using LDA and SVM with SMOTE. The top 10 topics primarily reflected societal commentary on the childfree lifestyle. Challenges included incomplete preprocessing, suboptimal clustering of similar themes, and imbalanced data, which limited the effectiveness of topic modeling and classification. Addressing these issues through improved feature selection, parameter optimization, and data augmentation could enhance performance for underrepresented categories. This research provides valuable insights into public attitudes toward the childfree lifestyle, offering implications for social research and policy development in the context of evolving societal norms.
The Impact of Linguistic Features on Emotion Detection in Social Media Texts
Get PDFEmotions are an important aspect of human life, and scientific theories on emotions have been widely developed in various research fields such as philosophy, psychology, and neuroscience. In human-computer interaction, understanding emotions is also very important. Detecting emotions not only enables better decision-making, but is also useful in various contexts such as business, politics, and mental health. The focus on identifying emotions in text arises because emotions are often implied without explicit words. Through the analysis of grammar and sentence structure, text mining techniques enable the extraction of sentiments and emotions. Detecting and identifying emotions in text is important because it can be applied in a variety of fields, including decision-making, prediction of human emotions, product assessment, analysis of political support, and identification of depression. Text as textual data is an important source of information due to its ability to convey human emotions. In this research, emotion detection uses the Naïve Bayes method, with attribute weighting to improve accuracy using count vector. This classification approach allows grouping text into six emotion categories: happy, sad, fear, love, shock, and anger. The Naïve Bayes method was chosen for its reliability in classifying data based on conditional probabilities. Thus, this research provides a deeper understanding of understanding and managing emotions in the context of social media. The data classification results yield precision, recall, F1-Measure, and accuracy values
Pengetahuan dan paparan media berhubungan dengan perilaku remaja dalam membaca label informasi nilai gizi
Get PDFThe consumption pattern of the community, including adolescents, has shifted to consuming ready-to-eat or packaged foods. This phenomenon needs to be controlled because these foods are generally high in sugar, salt and fat which are bad for health. This habit can arise partly due to low compliance to read nutritional value information labels. This study aims to analyze the factors associated with adolescent behavior in reading nutritional value information labels. The research method used cross sectional design with proportional stratified random sampling. The research sample was SMAN 1 Singaparna students, with a total of 328 people. Data were collected using a questionnaire instrument and analyzed by Chi Square Test. The results showed that there was a relationship between knowledge and the behavior of reading nutritional value information labels (p value = 0.009; OR = 1.859; 95% CI = 1.190-2.903) Media exposure also had a relationship with the behavior of reading nutritional value information labels (p value = 0.000; OR = 6.128; 95% CI = 2.857-13.137). However, there was no relationship between attitude (p value = 0.376), ability to read labels (p value = 0.264), special diet (p value = 0.130), gender (p value = 0.357) and pocket money (p value = 0.434) with the behavior of reading nutritional value information labels. Based on the results of this study, it can be concluded that knowledge and media exposure affect the behavior of reading nutritional value information labels, as well as being a risk factor. Therefore, it is recommended that students make it a habit to read nutrition labels before choosing packaged food products
LAZ Sidogiri and Social Transformation Towards Economic Empowerment of Banyuwangi Community Based on Islamic Values
Get PDFAbstractIntroduction to The Problem: Empowerment of the community economy based on Islamic values is a strategic issue in social development in Indonesia, especially amidst increasing economic inequality and the challenges of globalization. The Sidogiri Zakat Institution (LAZ), affiliated with Islamic boarding schools, plays an important role in addressing this issue through a structured Islamic philanthropic approach.Purpose/Objective Study: This study aims to analyze the strategy of the Sidogiri Zakat Institution (LAZ) in implementing Islamic values in the community economic empowerment program and its impact on social transformation.Design/Methodology/Approach: Using a descriptive qualitative approach, data were collected through interviews, observations, and documentation.Findings: The results of the study indicate that LAZ Sidogiri implements two forms of fund distribution, namely consumptive and productive, with the support of programs such as caring for education, health, the environment, the economy, and needs-based social programs. Although various programs have been implemented in a structured manner, their implementation still faces a number of challenges, including limited professional human resources, a weak monitoring system, and negative perceptions from the community. The positive impact of the LAZ Sidogiri economic empowerment program is seen in increasing community access to capital assistance and business training, although the scope is still limited. This study concludes that strengthening socialization strategies, improving the quality of human resources, and institutional transparency are essential in order to expand the impact of the program and ensure the sustainability of social transformation based on Islamic values.Paper Type: Research Articl
Pengaruh Dependency Ratio, Indeks Pembangunan Manusia, Pengangguran dan Sanitasi terhadap Kemiskinan di Jawa Tengah
Get PDFThis study aims to analyse the effect of dependency ratio, human development index, unemployment, and sanitation on the poverty rate in Central Java. The data for this study is secondary data obtained from the Central Bureau of Statistics based on districts and cities in Central Java in 2023. To analyse the relationship between variables, this study uses multiple linear regression method with cross-section data. The results of the analysis show that the dependency ratio has a significant positive effect on the poverty rate. The Human Development Index shows a significant negative effect on poverty, which means that improving the quality of education, health, and people's standard of living can reduce the poverty rate. However, unemployment and health variables do not show a significant effect on poverty in Central Java. These findings provide important implications for policymakers, particularly regarding the role of the dependency ratio. Policies need to be directed at improving people's financial literacy so that they are not overly dependent on the productive age in retirement. Thus, the risk of the sandwich generation can be minimized, and people's welfare in the future can be improved.Penelitian ini bertujuan untuk menganalisis pengaruh dependency ratio (rasio ketergantungan), indeks pembangunan manusia, pengangguran, dan sanitasi terhadap tingkat kemiskinan di Jawa Tengah. Data penelitian ini merupakan data sekunder yang diperoleh dari Badan Pusat Statistik berdasarkan kabupaten dan kota di Jawa Tengah pada tahun 2023. Untuk menganalisis hubungan antar variabel, penelitian ini menggunakan metode regresi linier berganda dengan data cross-section. Hasil analisis menunjukkan bahwa dependency ratio memiliki pengaruh positif signifikan terhadap tingkat kemiskinan. Indeks Pembangunan Manusia menunjukkan pengaruh negatif signifikan terhadap kemiskinan, yang berarti peningkatan kualitas pendidikan, kesehatan, dan standar hidup masyarakat dapat mengurangi tingkat kemiskinan. Namun, variabel pengangguran dan kesehatan tidak menunjukkan pengaruh yang signifikan terhadap kemiskinan di Jawa Tengah. Penemuan ini memberikan implikasi penting bagi pembuat kebijakan, khususnya terkait peran dependency ratio. Kebijakan perlu diarahkan untuk meningkatkan literasi keuangan masyarakat agar mereka tidak terlalu bergantung pada usia produktif di masa pensiun. Dengan demikian, risiko generasi sandwich dapat diminimalkan, dan kesejahteraan masyarakat di masa depan dapat ditingkatkan.
Ekspektasi Dinamika Kesejahteraan Petani di Tengah Gejolak Harga Pangan dan Inflasi pada Provinsi Jawa Timur
No full textThe purpose of this study is to estimate the future condition of the farmer exchange rate, aggregate food prices, and inflation rates and analyze the response of farmer welfare through the farmer exchange rate (NTP) to price fluctuations in food commodities such as rice, chicken meat, beef, shallots, garlic, cayenne pepper, cooking oil, sugar and eggs. The research method uses Impulse Response Function analysis and Dynamic Forecasting on the Bayesian Vector Autoregressive (BVAR) model method using secondary time series data for the period May 2017 - December 2023. The results of the variation in the response of the farmer exchange rate to each specific food price fluctuation to facilitate the identification of the type of food commodity prices that are strongly responded by the farmer exchange rate. In addition, the results of the projection of the level of farmer welfare and aggregate food prices in the next few months tend to decline amid the projected inflation rate that is still stable. This study produces several recommendations that can be used as considerations for formulating policies in maintaining the stability of food commodity prices and inflation rates to improve the welfare of farmers in East Java Province Tujuan penelitian ini untuk melakukan estimasi kondisi masa depan nilai tukar petani, harga pangan agregat, dan tingkat inflasi serta menganalisa respon kesejahteraan petani melalui nilai tukar petani (NTP) pada gejolak harga pada komoditas pangan seperti, beras, daging ayamn, daging sapi, bawang merah, bawang putih, cabe rawit, minyak goreng, gula dan telor. Metode penelitian menggunakan analisa Impulse Response Function dan Dynamic Forecasting pada metode model Bayesian Vector Autoregressive (BVAR) dengan menggunakan data sekunder time series periode Mei 2017 - Desember 2023. Hasil variasi respon nilai tukar petani pada setiap gejolak harga pangan secara spesifik untuk mempermudah dalam mengidentifikasi jenis harga komoditas pangan yang direspon kuat oleh nilai tukar petani. Di samping itu, hasil proyeksi tingkat kesejahteraan petani dan harga pangan agregat dalam beberapa bulan ke depan cenderung mengalami penurunan di tengah proyeksi tingkat inflasi yang masih stabil. Penelitian ini menghasilkan beberapa rekomendasi yang dapat dijadikan sebagai pertimbangan untuk menyusun kebijakan dalam menjaga stabilitas harga komoditas pangan dan tingkat inflasi dalam rangka meningkatkan kesejahteraan petani di Provinsi Jawa Timur
THE ANALYSIS OF POOR COMMUNICATION IMPACT ON STUDENTS’ INTEREST IN LEARNING EXPONENT TOPIC
Get PDFClassroom learning requires effective communication between teachers and students to create a conducive environment and enhance learning. This study analyzes the impact of teacher communication on students' interest in learning exponents using a descriptive approach. Data were collected through observation, interviews, and documentation involving 10th-grade students and a mathematics teacher at a vocational school in Yogyakarta, selected via purposive sampling. The findings show that effective communication increases students' motivation, active participation, and understanding of exponents. Interactive methods, such as discussions and QA sessions, foster student engagement and improve their grasp of the material. These results highlight the critical role of teacher-student communication in creating an enjoyable and effective learning experience, ultimately supporting better academic outcomes
Prediction of Alternative Solar Energy Utilization in Internet of Things Based Systems Using Random Forest Algorithm
Get PDFThe continuous use of fossil energy is depleting available energy sources, necessitating the adoption of alternative or renewable energy sources, such as solar energy. With rapid technological developments, particularly in Internet of Things (IoT) applications such as ThingSpeak, new monitoring solutions are becoming available. ThingSpeak can be used to monitor and control device outputs efficiently. Controlling the work of the tool is one of the efforts to save energy. In this study utilizing the ThinkSpeak application with the support of the ESP 8266 component to send information obtained through the sensor to be displayed on the monitor screen and set the output on or off. So that electricity is used as needed. The results of this study show that the output of sensor readings that appear from the serial monitor via the Arduino application is almost the same as the display on ThinkSpeak. So that this tool can support energy saving both in terms of solar energy utilization, the tool work control system for utilization according to needs and can also monitor the condition of the battery whether it is still in good or bad conditio
Karakteristik kimia dan organoleptik mie lidi dengan penambahan sari bayam merah
Get PDFMie lidi merupakan salah satu makanan ringan yang disukai dan disenangi masyarakat Indonesia. Penyuka mie lidi tidak hanya anak-anak saja namun orang dewasa pun banyak yang menyukai mie lidi sebagai cemilan mereka karena cemilan ini cukup unik dan memiliki rasa yang enak, gurih serta renyah. Pembuatan mie lidi dengan penambahan sari bayam merah adalah salah-satu inovasi pembuatan makanan ringan mie lidi yang sehat. Penelitian ini bertujuan untuk mengetahui kandungan gizi terhadap mie lidi serta untuk mengetahui uji organoleptik yang terdapat pada mie lidi dengan penambahan sari bayam merah. Desain penelitian menggunakan desain eksperimental dengan menggunakan rancangan acak lengkap (RAL) dengan empat perlakuan. Uji organoleptik dinilai oleh 50 panelis yang tidak terlatih. Uji kandungan gizi meliputi : Kadar air, Kadar abu, Kadar lemak, Kadar protein, Kadar karbohidrat. Hasil penelitian uji organoleptik terhadap parameter warna, rasa, aroma, tekstur dan overall menunjukkan (P0,05) yang artinya terdapat pengaruh nyata. Hasil uji proksimat terhadap parameter kadar abu dan kadar protein menunjukkan (P0,05) yang artinya terdapat pengaruh nyata terhadap mie lidi dengan penambahan sari bayam merah, sedangkan hasil uji proksimat terhadap parameter kadar air, kadar lemak tidak berpengaruh nyata terhadap mie lidi dengan penambahan sari bayam merah
Assessing The Impact of Water Quality on Freshwater Aquaculture: A Systematic Literature Review
Get PDFWater quality is a critical determinant of ecosystem sustainability and the productivity of freshwater aquaculture. This study performed a systematic literature review (SLR) to assess the impact of water quality on the growth, health, and yield of freshwater fish. The research examines contemporary technical advancements, such as Internet of Things (IoT) systems, unmanned aerial vehicles (UAVs), machine learning prediction models, and biotechnological methods for monitoring and managing water quality. The literature selection procedure employed the PRISMA framework and encompassed 136 articles sourced from the SCOPUS database. Following rigorous screening processes, three primary publications were chosen for additional examination. The review findings indicate that parameters like dissolved oxygen (DO), pH, ammonia, and temperature significantly influence fish health and production. Contemporary technologies, such IoT and UAVs, have demonstrated their capacity to enhance the effectiveness of water quality monitoring, whilst biotechnology provides novel options for the sustainable treatment of aquaculture waste. This research offers significant insights for scholars, policymakers, and practitioners in the advancement of more efficient and sustainable aquaculture methodologies