bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemanfaatan Dan Penggunaan Aplikasi E-Cash Waqf Dalam Mempermudah Proses Wakaf Uang
Authors: Surya Darma Nasution  , Sri Wanti Nasution
Published: August 2024

Yayasan Darul Waqaf Al Hadiy, yang berfokus pada pengelolaan wakaf, menghadapi tantangan dalam proses wakaf uang yang masih konvensional dan kompleks. Donatur sering mengalami kesulitan dan keterbatasan akses, membatasi potensi penuh wakaf uang untuk memberikan dampak positif pada pembangunan sosial dan ekonomi. Untuk mengatasi kendala tersebut, kegiatan pengabdian masyarakat diusulkan untuk mengembangkan aplikasi e-cash waqf. Aplikasi ini tidak hanya akan meningkatkan efisiensi proses wakaf uang, tetapi juga memberikan tingkat transparansi yang lebih baik kepada donatur mengenai penggunaan dana wakaf. Edukasi masyarakat tentang manfaat dan prosedur wakaf uang, terutama melalui aplikasi e-cash waqf, diharapkan akan merangsang minat dan partisipasi dalam kegiatan wakaf uang yang lebih mudah dan transparan. Melalui kegiatan ini, diharapkan tercipta kemudahan dalam proses wakaf uang, peningkatan partisipasi masyarakat, dan pemanfaatan teknologi untuk kegiatan amal yang lebih efisien dan transparan. Seiring dengan itu, proyek ini juga dapat meningkatkan kesadaran masyarakat tentang nilai dan manfaat wakaf uang sebagai kontribusi mereka untuk kebajikan umat Islam dan kepentingan agama secara lebih luas.anggota komunitas akan mampu mengatasi hambatan dalam memanfaatkan media sosial, meningkatkan penjualan produk, serta berkontribusi pada pengembangan dan pelestarian produk lokal.
Implementing Digital Game-Based Learning for Qur’anic Arabic Learning Using Serious Game Development Method to Increase Arabic Vocabulary
Authors: Roseandree Billdan Satriana , Jenuri Jenuri , Nurjaman Asep Rudi
Published: August 2024

The Qur’an is regarded as the source for communication with Allah, while most of Muslims in the world are non-Arabs and could barely speak Arabic, it is becoming a challenge for Muslims to have a deeper understanding of God’s words and deeper connection with Him. By implementing digital game-based learning as an effort to gain traction among the Islamic world, especially in the digital era of Society 5.0, developing a serious game that specialized in solidifying mufradat (Arabic vocabularies) can retain motivation and interest to keep learning the Qur’an by reducing level of stress and boredom, especially Muslim youth living in an age of liberal, this is found to be a serious challenge for the Islamic community to preserve its purity in daily worship. The research method in use is serious game development method, this method fits the unique aspect of a serious game that is comparably different from pure entertainment game development method such as game development life-cycle. Serious game development model involves educational foundations to be a form of game development that orients educational values whilst retaining the fun and engaging aspect of game. The results of this research shown that Qur’anic Arabic serious game  using serious game development method is considered acceptable according to the user acceptance test (UAT) indicated by the ratings of 71.57%, this concludes that users found the game to be effective yet engaging to bolster their daily worship and the method being used is effective in implementing game-based learning compared to the conventional game development life-cylce. This result is reliable as supported by Cronbach’s alpha reliability level shown to be reaching 0.954 or is an excellent level of reliability using the IBM SPSS Statistics 26 software.
Analisis Keamanan Website Pendaftaran Mahasiswa Baru Dengan Munggunakan Metode Vulnerability Assessment
Authors: Hafsari Sherli Ameilia , Harjono Harjono
Published: August 2024

The website plays an important role in the educational context, such as in managing the academic system, accepting new students, and other functions. Publications carried out online by utilizing the official campus website can make it easier for parents or student registrants from areas outside the city or even outside the island to find complete information about the desired university. Universitas Muhammadiyah Purwokerto has an online student registration system through a pmb.ump.ac.id website. An agency or organization can suffer losses if the information obtained falls to unauthorized parties, so an information system must have the ability to overcome and stop the desired bad steps. To prevent these events, this research was applied using the Vulnerability Assessment method with the aim of obtaining information on security gaps and vulnerabilities on the new student registration website of Universitas Muhammadiyah Purwokerto. The test results obtained using the vulnerability tool found a number of security holes on the new student registration website of the University of Muhammadiyah Purwokerto. Researchers have provided several recommendations to address the findings of security holes that can be used.
Enhancing Satisfaction: A Quantitative Investigation Trought User Experience in Website Quality for Low Vision Disabled Students
Authors: Rahmah Yusriyah , Aknuranda Ismiarta , Ratnawati Dian Eka
Published: August 2024

The background to this research problem stems from the need to understand the impact of service quality, user experience, and user satisfaction in website design for students with low vision disabilities who are taking part in the final assignment guidance process at Brawijaya University. Students with low vision disabilities often experience obstacles in the accessibility and use of information technology. Considering the important role of websites in academic contexts, a proper design must meet their needs. Therefore, this study investigates the relationship between service quality, user experience, and user satisfaction in website design for low vision disabled students during final assignment guidance at Brawijaya University. It aims to determine if enhancing service quality positively affects user experience and satisfaction, while also examining the mediating role of user experience. Data is gathered from 31 respondents, including low vision disabled students and relevant academics from the Disability Service Center, through questionnaires. Participants rate service quality, user experience, and satisfaction using predefined scales, and statistical analyses, including path analysis, are conducted to assess the relationships. Next, a regression test was carried out as the main statistical procedure to analyze the relationship between the variables involved in this research. The results of the regression analysis show that service quality has a positive and significant effect on user experience (β = 0.435, Sig = 0.000) and user satisfaction (β = 0.493, Sig = 0.003). User experience also has a positive and significant impact on user satisfaction (β = 0.397, Sig = 0.001). These findings indicate that improving service quality and user experience has the potential to increase user satisfaction. This research provides valuable insights into service quality, user experience, and satisfaction dynamics in website design for low vision disabled students, emphasizing the importance of prioritizing user experience to boost satisfaction, particularly within disability populations. Practical implications include improving website accessibility and academic support for low vision disabled students, with recommendations for staff training and student involvement in website development. Limitations include sample size constraints and potential lack of generalizability, suggesting the need for future research incorporating qualitative methodologies.
Pemanfaatan E-Customer Relationship Management untuk Peningkatan Usaha Tour & Travel dengan Pengujian User Centered Design
Authors: Yanto Widja , Mulyono Herry
Published: August 2024

Nada Salwa Tour & Travel is one of the service businesses operating in the travel sector. Currently, the existing system faces challenges in acquiring new customers, enhancing relationships with existing ones, and retaining them. To address these issues, Nada Salwa Tour & Travel requires a web-based Electronic Customer Relationship Management (E-CRM) system that can assist both the company and its customers in fostering good relationships. The objective of this research is to analyze the service relationship between the company and its customers and to design a Sistem web-based Electronic Customer Relationship Management (E-CRM) system to create better relationships through website features. The author conducted object-oriented design including Use Case diagrams, activity diagrams, class diagrams, interface designs, and database structure tables. The result of this research is a Sistem web-based E-CRM system that can help address the existing problems at Nada Salwa Tour & Travel. The testing result of the designed interface using the cognitive walkthrough method with 5 respondents shows learnability at 96.15%, error rate at 1.34%, and efficiency at 94.93%.
Rancang Bangun Sistem Monitoring Daftar Kehadiran Karyawan Berbasis Fingerprint dengan Metode Prototyping
Authors: Danistian Angga , Darmawan Budi , Rachman A. Sjamsjiar
Published: August 2024

Employee attendance issues are a significant concern in many organizations, particularly regarding fraudulent practices such as proxy attendance and data inaccuracies. Conventional attendance systems relying on signatures or ID cards are often ineffective in preventing these frauds. To address this issue, this study developed a fingerprint-based attendance system integrated with a database and website. The primary objective of this system is to facilitate the attendance recapitulation process, eliminate proxy attendance, and enhance employee awareness and discipline. This system uses fingerprint technology to ensure that each employee is physically present at the time of attendance, thereby improving the accuracy and reliability of attendance data. The research method used is experimental, involving the development of hardware and software with various interconnected components. The results show that this system not only simplifies attendance recapitulation but is also effective in preventing fraud, increasing employee awareness and discipline, and ensuring data security accessible only by the admin. Thus, the fingerprint-based attendance system proves to be an effective solution in addressing attendance issues in the workplace.
Strategi Pengembangan Bisnis Kafe dengan Metode SWOT dan QSPM
Authors: Ningsih Margie Subahagia , Sikumbang Raja Irhas , Rida Rizkha , Fitri Li Idi’il
Published: August 2024

Rajin Djalan wants to be more successful and competitive in the coffee shop business in Medan. This study aims to find the best business development strategy for Rajin Djalan in facing competition. Business development strategies are formulated based on SWOT and QSPM analysis. Alternative strategies undertaken for business development should prioritize strategy 2, namely by utilizing social media and creating content that is relevant to consumers and attractive. Results from the SWOT analysis, so the right business development strategy for Rajin Djalan is the S-O (Strengths - Opportunities) strategy, namely using strengths to take advantage of opportunities with alternative strategies: a. Endorsement by Influencer b. Utilize social media and create content that is relevant to consumers and interesting.
Analisis Pola Penjualan Obat di Apotek Menggunakan Algoritma Apriori Untuk Optimalisasi Stok dan Penjualan
Authors: Yulindawati Yulindawati , Yusnita Amelia , Mayasari Renni , Melano M Erick
Published: August 2024

This research aims to identify product sales patterns at Teluk Bayur Pharmacy to optimize stock management and increase sales by using data mining techniques, especially the Apriori Algorithm. Pharmacies are very instrumental in providing drug-related information and are a form of retail trade that sells medicines at more affordable prices compared to hospital services. However, Teluk Bayur Pharmacy often faces difficulties in managing stock, analyzing product sales patterns and consumer behavior, which causes problems of over stock or under stock. Through the application of Association Rule Mining using the Apriori Algorithm, this research analyzes the correlation between products to find frequent purchase patterns. The methods used include literature study, data collection, data preprocessing, application of Apriori Algorithm, evaluation and interpretation of results, and application of conclusions and recommendations. To analyze sales patterns, the data collected exceeded 100 entries, and 12 transactions were selected that represented the most sales each month. The results of testing the analysis utilizing tanagra 1.4.41 software, by setting a minimum support of 40% and a minimum confidence of 70%, from the results of research and testing show that products that are often purchased together by customers are masks, vegeta, and antimo with a confidence value above 70%. The findings are expected to provide insight for Teluk Bayur Pharmacy in understanding consumer behavior and identifying new sales opportunities.
Optimasi Algoritma Machine Learning Menggunakan Seleksi Fitur Xgboost Untuk Klasifikasi Kanker Payudara
Authors: Ramadhan Naufal Cahya , H Hanny Hikmayanti , Rohana Tatang , Siregar Amril Mutoi
Published: August 2024

This research analyzes the performance of the K-Nearest Neighbors (KNN), Naïve Bayes, and Random Forest algorithms in the classification of breast cancer diagnosis using the Wisconsin Breast Cancer dataset. The problem discussed is how to improve the accuracy of breast cancer diagnosis classification through appropriate preprocessing techniques. The research objective is to evaluate and compare the performance of the three algorithms after the application of preprocessing which includes data cleaning, handling missing values, data duplication, and outliers, as well as feature selection using XGBoost and SMOTE oversampling. application of feature selection to identify the most relevant features and SMOTE to balance the class distribution in the dataset. Performance evaluation results using a confusion matrix show that Random Forest has the best performance with high accuracy, precision, recall, and F1-score, reaching an AUC of 98% after the application of SMOTE. The combination of feature selection and SMOTE was shown to significantly improve model performance, although KNN showed a decrease in performance with SMOTE, while Naïve Bayes experienced a considerable improvement. This study demonstrates the importance of preprocessing techniques in the development of machine learning models for medical applications, emphasizing that appropriate techniques can significantly improve classification performance and result in more accurate diagnoses.
The Effect of Perceived Ease of Use and Service Quality on Customer Loyalty with Customer Satisfaction as an Intervening Variable: Case Study on Tokopedia
Authors:   Magister Management, School of Economics and Business, Telkom University, Bandung, Indonesia, Permata Susanto Savella Gizcha Agni Andita , Indrawati Indrawati ,   Magister Management, School of Economics and Business, Telkom University, Bandung, Indonesia
Published: August 2024

Transactions on e-commerce have become a common habit in society. Indonesia had approximately 196.47 million e-commerce users, and this number is predicted to continue increasing. The total value of e-commerce transactions has reached Rp 453.75 trillion, and Tokopedia is among the top five e-commerce platforms with the most visitors, totaling 1.2 billion visits. However, Tokopedia has recently experienced a 31% decrease in visits compared to the previous year, and many users have expressed dissatisfaction. Based on these issues, the aim of this research is to determine the influence of service quality and perceived ease of use on customer loyalty, with customer satisfaction serving as a mediating variable with the object of research Tokopedia. This research is quantitative in nature, utilizing descriptive and causal analysis. Sampling was carried out using purposive sampling method, resulting in 400 respondents who fulfilled the requirements applied in this research. The analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with the SmartPLS 3. The findings of this research indicate a positive and significant effect of perceived ease of use and service quality on customer loyalty, both directly and indirectly through customer satisfaction. The model used in this study explains 55.8% of consumer loyalty behavior towards Tokopedia, which falls into the moderate category. Tokopedia should enhance the quality of services offered to users and ensure they encounter no difficulties while using the Tokopedia application. The objective is to improve customer satisfaction on Tokopedia, ultimately leading to increased customer loyalty.
Proposta de Ensino para discutir os conteúdos de Elemento Químico e Tabela Periódica a partir de uma abordagem contextualizada
Authors:   , Ferraz Tatiane Madalena
Published: August 2024

O presente trabalho centra-se no estudo da Tabela Periódica e dos elementos químicos presentes nela, tendo como fim o processo de ensino e aprendizagem deste conteúdo, em diálogo com a sua importância sócio-histórica e cultural. Desta forma, propusemos atividades formativas que contemplam esta temática abordada na 1ª Série do Ensino Médio, utilizando para isso uma pesquisa com abordagem qualitativa, de natureza documental. Ela se valeu do levantamento de produções científicas na área, em diálogo com a literatura especializada sobre o tema em questão, buscando debater as especificidades teórico-conceituais do assunto e algumas das correlações cotidianas. Para tanto, abordamos questões relativas ao processo de ensino e aprendizagem das Ciências, bem como os aspectos gerais da História da Química relacionados à Tabela Periódica. Com base nisso, pressupomos a importância de a educação científica mobilizar diferentes metodologias que contemplam os distintos espaços educativos, considerando que há a educação formal na Escola (denominada escolarização) e a não formal, que abarca os diferentes espaços públicos, a internet etc. Assim, com base na necessidade de abarcarmos a pluralidade da Escola para se ter um maior envolvimento dos estudantes no processo formativo, despertando assim a curiosidade e o espírito investigativo, avaliamos aqui como dois espaços não formais de educação científica, como a Sala Mendeleev e o Museu das Minas e do Metal, podem favorecer o processo de ensino e aprendizagem da Química. Isso em diálogo com a temática em questão, de modo a favorecer a busca pelo conhecimento de forma autônoma, sendo os estudantes protagonistas do processo formativo. Desta forma, o produto educacional elaborado neste tralhado traz uma Proposta de Ensino articulada a contextos de divulgação científica e museus de ciências, locais onde é possível o professor propor outras possibilidades de discutir contextualmente o conteúdo proposto na Educação Básica. Por fim, buscamos com este material contribuir para que os professores motivem os estudantes a pensarem em uma ciência que os aproxime das questões cotidianas, dialogando com algumas das demandas postas pela tecnologia e pela sociedade. Tudo isso buscando a ressignificação das práticas formativas na Escola e uma educação científica que favoreça a compreensão do sentido do porquê e para que é importante aprender uma Química relacionada à nossa vida. Palavras-chave: Tabela Periódica; Ensino de Química; Espaços não formais de Educação; Tecnologia Educacional.
Diário de aprendizagem: uma ferramenta para o desenvolvimento da metacognição no Ensino de Química
Authors:   , Silva Tatiane Barcellos
Published: August 2024

Os conteúdos teóricos da ciência são muito abstratos e comumente associados a dificuldades de aprendizagem. A busca por correlacionar a alfabetização científica com o intangível parte das primícias da criação de modelos, que podem auxiliar no acesso ao mundo submicroscópico. Nessas últimas décadas, pesquisadores e educadores da área de educação em ciências têm buscado interferir nas bases educacionais, para tornar o conhecimento científico mais próximo dos alunos, de forma que eles possam compreender melhor os conteúdos tratados no Ensino de Ciências. Nessa perspectiva, essa pesquisa buscou analisar o desenvolvimento dos estudantes em relação ao uso de representações na disciplina de Química, a partir do uso de diários de aprendizagem, que envolveram a manifestação tanto de conhecimentos quanto percepções dos estudantes em relação ao conteúdo de química, às aulas e ao próprio aprendizado. Assim, buscou-se acompanhar, a partir dos registros nos diários, tanto a evolução cognitiva quanto metacognitiva dos estudantes, em relação ao desenvolvimento do conhecimento do uso das representações em química. O trabalho foi conduzido com uma turma de primeiro ano do Ensino Médio de uma escola particular (alunos entre as idades de 14 -16 anos). As coletas das representações foram feitas a partir de diários escritos, com o uso da plataforma Google Classroom, ferramenta adotada no ensino remoto, diante do contexto pandêmico. Também foram empregados como dados dessa pesquisa os registros escritos, falas e imagens obtidos a partir dos vídeos das aulas, que foram conduzidas pelo Google Meet. Os principais resultados desse estudo explicitam a contribuição do diário como ferramenta de reflexão dos estudantes diante das abordagens específicas de diversos conceitos químicos. O papel do professor, conduzindo o uso dos diários a partir de questões geradoras, mostrou-se fundamental para um direcionamento assertivo do pensamento no Ensino de Química e para o desenvolvimento do processo metacognitivo dos estudantes. A partir do uso dos diários, os discentes puderam fazer uma releitura da aprendizagem que obtinham a partir de diversas abordagens conduzidas pelo professor. Com os resultados desse estudo, salienta-se o potencial do uso de diários no Ensino Médio para conduzir o desenvolvimento cognitivo e metacognitivo dos estudantes. Palavras-chave: diários de aprendizagem; metacognição; representações em Química
Expression of Genes Related to Glycolytic Metabolism and their Influence on Muscle pH in Different Swine Genetic Groups
Authors:   , Máximo Natanieli Silva
Published: August 2024

Considering that muscle pH is one of the crucial factors for pork quality, influenced by characteristics such as the rate and extent of its decline, pig breeds, and glycolytic enzymes. To understand the mechanisms related to energy metabolism and muscle-to-meat conversion, this study aimed to investigate the existence of distinct gene expressions that may explain glycolytic metabolism through muscle pH analysis and characterize it in different pig breeds. For this purpose, 39 animals from four genetic groups were used: Piau (PP), Large White (LW), and the crossbreeds Piau-Large White (PL) and Duroc-Large White (DL). Muscle pH measurements were collected at eleven different times post-slaughter (0, 0.75, 1, 2, 3, 4, 5, 6, 7, 8, and 24 hours), which were used in the repeated measures model over time, including time, genetic group, and the time-genetic group interaction as a fixed effect, followed by mean analysis, where some significant differences between the groups were observed (p<0.05). The pH decline analysis was conducted using the exponential model. For gene expression analysis, Longissimus dorsi samples from 24 animals were utilized, selected based on the total RNA concentration of the sample. Ten genes related to post-mortem glycolytic metabolism were selected, with significant differences observed between the genetic groups (p<0.05). Additionally, a pattern of expression was observed, where PP and PL showed higher relative expression in genes contributing to better pork quality. Furthermore, the local animals demonstrated predominantly additive genetic behavior, retaining some favorable characteristics, how to best pH values and a slower pH decline rate. From these results, it is concluded that altering glycolytic metabolism through genetic selection, specifically through the use of local breeds, has the potential to modulate pH levels and, consequently, optimize final pork quality indices. Keywords: Meat quality; Metabolic stress; mRNA; Skeletal muscle
Exploring The Role of Duolingo in Elevating University Students’ Writing Skills
Authors: Nurul Faizah  , Martinis Yamin  , Nisaul Fadillah
Published: August 2024

This research aims to (1) find out the comparisonof students' writing skills before and after using theDuolingo application and (2) find out theadvantages and disadvantages of students whenusing the Duolingo application. This research usesmixed methods. Data collection techniques includetests, interviews, and documentation methods. The test was carried out in two stages, namely pre-testand post-test. Interview informants were selectedusing purposive sampling techniques. Data were processed using descriptive statistics and Miles Huberman analysis. The research was conductedon 10 English Literature students at UIN Sulthan Thaha Saifuddin Jambi. The research results showthat based on the results, Duolingo's role canimprove students' writing skills. This can be seenbased on the results of the post-test carried out bystudents. In the post-test assessment, allparticipants obtained higher scores that exceededthe mean. The highest score on the post-test was 95 and the lowest score was 80. There were nostudents below the completeness score and 10 students above the completeness score. Then theaverage post-test score was 89.5. Meanwhile, otherresearch results show that the advantages anddisadvantages of using the Duolingo applicationcan be seen in the interview results. In terms ofadvantages, students believe that Duolingo canimprove their writing skills because there are lotsof features such as flashcards, translations, quizzes, listening sections, exercises, and others. Meanwhile, the disadvantage of using theDuolingo application is that this application takesup a lot of memory space on the cellphone whenthe user uses it all the time, especially when itreaches a high level or unit.
Peran Komunikasi Pembangunan Agama Dalam Pembentukan Taman Pendidikan Al-Qur’an (TPA) Keliling (Study Kasus Desa Adiluwih Kabupaten Pringsewu Provinsi Lampung)
Authors: Tofa pamuka aji Mike Meiranti
Published: August 2024

Indonesia is a country that has a large religious foundation, therefore every aspect of Indonesian society's life must be based on religious foundations, especially in the field of communication. Communication is a primary activity in every human life, in communication there is an applied concept that is very important for human progress, namely the concept of development. In the practice of communication, it must have a development concept in it, so that the discipline of development communication emerges. Development communication is a communication science discipline that forms development concepts aimed at improving the quality of life of society, namely by increasing human resources using basic development concepts. Religious development communication offers an important role in instilling religious values, especially in childhood, the role of religious development communication is the beginning of forming good patterns of religious application for children. TPA is a forum that must maximize its role in instilling religious understanding in children. TPA not only teaches religious spiritual practices, but aspects of religious life must begin to be taught at TPA, therefore the communication process for religious development can be maximized in the management of TPA as a means for children to develop religious values. Mobile TPA is the latest innovation as a learning tool. Mobile TPA prioritizes the principle of friendship because in the process, TPA activities are carried out in students' homes alternately, so that it can create familiarity and feelings of sympathy and empathy in students, so that Islamic values in terms of muamalah little by little begin to be familiarized from childhood, namely the concept of friendship.
Hirarki Pengaruh dalam Kebijakan Redaksi: Studi Kasus di tvOne dan Metro TV Dalam Pemberitaan Pilpres 2019
Authors: Setiawan Arief Tri , Ramadoni Muhamad Afdoli , Videska Anggun Viniza , Khoiro Dela Amaliya
Published: August 2024

Tahun 2019 pemilu presiden dan wakil presiden kembali mempertemukan Joko Widodo dan Prabowo Subianto sebagai calon presiden di Indonesia. Momentum tersebut membuat konstelasi politik nasional di Indonesia cukup memanas dikalangan masyarakat. Peran media menjadi sangat penting bagi masyarakat dalam mencari informasi pilpres. Ideologi suatu media akan memengaruhi kebijakan redaksi sebuah berita. Isi berita merupakan hasil konstruksi yang dipengaruhi oleh berbagai unsur. Maka muncul pertanyaan bagaimana hierarki pengaruh dalam kebijakan redaksi pada pemberitaan pilpres 2019 ditinjau dari perspektif islam? Agama islam pada dasarnya adalah agama yang eksklusif yang mengikuti Alquran dan Hadits dalam kehidupan sehari-hari maupun bernegara. Teori yang digunakan dalam penelitian ini adalah Teori Hirarki Pengaruh yang diperkenalkan oleh Pamela Shoemaker dan Stephen D. Reese. Teori ini berasumsi bahwa isi pesan media yang disampaikan adalah hasil dari pengaruh beberapa faktor hierarki media. Penelitian ini menggunakan pendekatan kualitatif dengan model deskriptif serta menggunakan paradigma konstruktivisme. Paradigma yang memandang realitas sosial bukanlah realitas yang natural, tetapi dari hasil konstruksi. Dalam penelitian ini, isi berita dipengaruhi oleh lima level pengaruh hierarkis ditinjau dari perspektif Islam. Pertama, level individu pengaruh datang melalui reporter. Kedua, level pengaruh rutinisas datang dari pimpinan redaksi yang menentukan arah pemberitaan. Ketiga, level pengaruh organisasi media terkait pengaruh pemilik media. Keempat, Extra Media Level yaitu adalah pengaruh-pengaruh yang berasal dari sumber berita, public relation, pengiklan dan penonton, pemerintah, pangsa pasar dan teknologi.  Kelima, Ideologikal Level yaitu hubungan antara pembentukan sebuah konten media, nilai-nilai, kepentingan dan relasi kuasa media.
Analisis Fenomena Flexing: Keterkaitan Antara Gaya Hidup dan Popularitas
Authors: Rojiati Umi , Afifah Noor
Published: August 2024

Era digital melahirkan fenomena baru, salah satunya gaya hidup flexing di media sosial. Pengguna platform online ini berlomba-lomba memamerkan kemewahan, kekayaan, dan gaya hidup glamor untuk meraih popularitas. Penelitian ini, melalui studi literatur, mengkaji berbagai faktor yang mendorong perilaku flexing. Hasilnya menunjukkan bahwa sikap, pengalaman, kepribadian, kelas sosial, dan faktor lainnya dapat memengaruhi seseorang untuk melakukan flexing. Di era post-truth, di mana informasi di media sosial tidak selalu dapat dipercaya, pengguna perlu kritis terhadap konten yang dilihat. Penting untuk tidak mudah terpengaruh oleh citra yang ditampilkan orang lain dan tetap menjaga kecerdasan dalam bermedia sosial.
Sentiment Analysis on Social Media X (Twitter) Against ChatGBT Using the K-Nearest Neighbors Algorithm
Authors: Arwan Sulaeman Asep , Danny Muhtajuddin , Butsianto Sufajar , Pratama Suria
Published: August 2024

This research aims to analyze the public's response to ChatGPT through data obtained from Twitter. Apart from that, it is also to understand whether people's responses tend to be positive or negative towards ChatGPT, as well as to test the performance of the K-Nearest Neighbors (KNN) method in classifying sentiment patterns in tweet data. The sentiment analysis method is carried out by dividing public responses into positive and negative categories. Next, the performance of the K-Nearest Neighbors (KNN) method was tested with varying k values ??to classify sentiment patterns in tweet data. This testing includes dataset division, vectorization of text data using TF-IDF, initialization and training of the KNN model, and evaluation of model performance using metrics such as precision, recall, and f1-score. The results of sentiment analysis show that the majority of people's responses to ChatGPT are positive (74.3%), while 25.7% of responses are negative. Performance testing of the KNN model shows that the highest accuracy of 88% is achieved when the k value is 5. Evaluation of model performance also shows satisfactory levels of precision, recall and f1-score. Based on the research results, it was concluded that sentiment analysis and classification using KNN were effective in understanding people's responses to ChatGPT
Implementation of the Naive Bayes Algorithm for Death Due to Heart Failure Using Rapid Miner
Authors: Surojudin Nurhadi , Ermanto Ermanto , Danny Muhtajuddin , Pratama Suria
Published: August 2024

Until now there is no treatment that can specifically treat heart failure problems. Heart failure treatment only functions to control symptoms, improve quality of life so that patients can carry out normal activities, and reduce the risk of complications due to heart failure such as heart rhythm disturbances, kidney and lung function disorders, stroke, and sudden death. Heart failure is a condition when the heart pump weakens so that it is unable to circulate sufficient blood throughout the body. This condition is also called congestive heart failure. Until now there is no treatment that can specifically treat heart failure problems. This research is a descriptive study which aims to describe the condition of heart failure. By using classification techniques in data mining on data from patients suffering from heart failure using the Naive Bayes algorithm. By using the Rapid Miner tool, data processing is based on the dataset, using classification techniques and data mining stages to classify data on patients suffering from heart failure. By using the Rapid Miner tool, the data processing that will be used as a data collection in this research is collected into 90% training data and 10% testing data. The research results showed an accuracy rate of 80.00%, precision of 66.67% and recall of 100.00%. Based on the research that has been conducted, it is concluded that classification techniques using the Naive Bayes algorithm can be used to determine the potential for life and death in heart failure sufferers.
Recruitment Classification of Security Unit PT. Satria Kencana Abadi Using Naïve Bayes Method
Authors: Rilvani Elkin , Surojudin Nurhadi , Danny Muhtajuddin , Yoga Pratama Evan
Published: August 2024

To get human resources according to company standards, the problem faced in the company is the difficulty of the selection process with a short time and the complexity of the decision making process resulting in subjective decision making. The purpose of this research is to assist the assessment process in making decisions for determining the selection of security units (SATPAM) to be more targeted so that it can help the company. In this study the data used were 697 data with 558 training data and 139 testing data. This test data was carried out using the Naïve Bayes algorithm method to classify so that it can determine accurate and efficient decision making, using Rapidminer tools which have 82 accuracy, 01%, 81.61% Precision, and 88.75% recall. This shows that the Naïve Bayes algorithm method has a good performance in determining decision making during the selection of security forces (SATPAM) at PT. Satria Kencana Abadi.
Application of the C 4.5 Algorithm to Classify Customer Characteristics at PT. Bayer Indonesia
Authors: Siswandi Arif , Anwar M. Syaibani , Susilo Arif , Hasibuan Sultan
Published: August 2024

PT. Bayer Indonesia is a company engaged in drug production. In running its business, companies need to know customer characteristics in determining what actions to take next. This research aims to apply the C 4.5 algorithm in classifying customer characteristics at PT. Bayer Indonesia. The C 4.5 algorithm is a decision tree algorithm that is often used in data mining for classification purposes. This research was conducted to make it easier to find out customer characteristics. Starting with collecting data, then selecting the attributes that will be used. Then the data is separated using split data, the initial comparison used is 60% train data and 40% test data. Then training data is carried out using the C4.5 algorithm. Next, the classification results were evaluated using the confusion matrix method. The data used was 200 data with 9 attributes, obtained an accuracy of 86.25%, precision of 86.25% and recall of 54.55%. Then change the data split parameters to 70% : 30%, 80% : 20% and 90% : 10%. The best accuracy is 100%. The research results show that the C 4.5 algorithm has good performance in classifying the characteristics of PT customers. Bayer Indonesia. The resulting model can be used by companies for more effective marketing strategies and personalized customer service.
Association Rule to Increase Sales Using the Apriori Algorithm Method
Authors: Ermanto Ermanto , Halim Anshor Abdul , Arwan Sulaeman Asep , Winarni Sri
Published: August 2024

The Apriori algorithm is a data mining technique used to find relationship patterns between items in a transaction dataset. In this context, the Apriori algorithm will be used to identify products that are often purchased simultaneously by customers. By understanding these purchasing patterns, companies can design more effective marketing strategies, such as strategic product placement, bundling package offers, and special promotions. This research involves several stages, starting from collecting sales transaction data, data preprocessing, applying the Apriori algorithm, to interpreting the results. The transaction data used is taken from the sales database of a retail store during a certain period. After the data is processed, the Apriori algorithm is applied to identify frequent itemsets and form association rules. The results of this research show that there are several significant purchasing patterns, such as a combination of product A and product B which are often purchased together. By applying data mining using the a priori algorithm method, you can find out which products sell the most. From the results of manual calculations it was found that consumers who bought RB 1060 would buy RB 1099 with 81% confidence, whereas using WEKA it was found that consumers who bought RB 1060 would buy RB 1099 with a confidence value of 82%.
Sentiment Analysis of Bekasi Floods Using SVM and Naive Bayes with Advanced Feature Selection
Authors: Amali Amali , Maulana Donny , Widodo Edy , Firmansyah Andri , Danny Muhtajuddin
Published: August 2024

Flood management in Bekasi City poses significant challenges, necessitating strategies grounded in an understanding of community sentiment. This study aims to develop and optimize sentiment analysis of social media data related to flooding using Support Vector Machine (SVM) and advanced feature selection techniques. The primary goal is to enhance the accuracy of classifying public sentiment toward flood management efforts in Bekasi City. Data is collected from various social media platforms, preprocessed, and analyzed using SVM with feature selection techniques like Information Gain and Analysis of Variance (ANOVA). (Thoriq et al., 2023) Our findings indicate that using SVM with advanced feature selection significantly improves sentiment classification accuracy compared to standard methods. These results offer insights into public perceptions, helping policymakers improve management strategies and communication for flood events. This method assists in understanding community responses and pinpointing critical areas needing attention. Moreover, this study contributes to disaster management in urban flood-prone areas by presenting a methodological approach applicable to other disaster contexts. Integrating social media sentiment analysis with advanced machine learning techniques offers a robust framework for real-time public sentiment assessment, enhancing disaster response strategies. Furthermore, these techniques help create a more resilient urban environment by improving the efficiency and effectiveness of flood management practices. This comprehensive tool is essential for better preparedness, response, and recovery from flood events, ultimately enhancing community resilience and safety in Bekasi City. This research is part of machine learning in disaster management and a valuable asset for city planners and disaster professionals around the world.
Service Quality Analysis of RFID-Based Smart Door Lock in Front One Azana Style Hotel Area
Authors: Putra Fauzan Prasetyo Eka , Ramadhani Nilam , Fauzan Fauzan , Mursidi Moh.
Published: August 2024

This research evaluates the service quality of an RFID-based smart door lock system in the Front One area of Azana Style Hotel Pamekasan. Employing qualitative analysis techniques, the study assesses the system's reliability, security, convenience, and responsiveness based on user experience and behavioral data. The primary goal is to understand how effectively the smart lock system enhances hotel services and operational efficiency. The findings aim to offer valuable insights to hotel management and the broader hospitality industry regarding the impact of smart technology on guest experience and hotel operations, thus fostering innovation and promoting environmental sustainability. By integrating RFID-based smart door locks with the Internet of Things (IoT), the system enables real-time access control, manages meeting room schedules, facilitates remote security monitoring, and oversees employee access management. This integration not only boosts service quality and operational efficiency but also creates a more connected and intelligent hotel environment. Consequently, the study highlights the potential of smart technology to transform hotel operations, improve guest satisfaction, and contribute to a sustainable future for the hospitality industry. Additionally, the research underscores the importance of continuous technological advancements in maintaining competitive advantage in the rapidly evolving hospitality sector, ensuring that hotels can meet the ever-changing needs and expectations of their guests.
Case Study of Computer Network Development for the Internet Of Things (IoT) Industry in an Urban Environment
Authors: Rachman Anang Fakchtur , Putra Fauzan Prasetyo Eka , Syirofi Syirofi , Wahid Durrahman
Published: August 2024

This research presents a case study of computer network development to support the Internet of Things (IoT) industry in an urban environment. The rapid growth of the IoT industry has created the need for a network infrastructure that can support the connectivity of various smart devices widely and reliably. This research focuses on urban environments that have unique complexities such as high population density, intensive movement, and diverse infrastructure needs. The research methodology involves a detailed analysis of the implementation of computer networks in the context of the IoT industry in urban environments. Data was collected through field observations, interviews with experts, and analysis of relevant project documents. The analysis results show that the development of computer networks in urban environments to support industrial IoT requires scalable network design, efficient bandwidth management, tight security, and adaptation to existing infrastructure. This case study describes various strategies and technologies used in the development of computer networks, including the implementation of 5G-based wireless networks and the monitoring of urban environments using smart sensors. These results highlight the importance of a holistic and sustainable approach when developing computer networks for the IoT industry in urban environments. Ensuring your infrastructure can meet future needs requires collaboration between stakeholders, investment in the right technology, and careful planning. This study makes an important contribution to the optimisation of computer networks that support the growth of the IoT ecosystem in urban environments.
Effect Of Distance On Wi-Fi Signal Quality In The Home Environment
Authors: Putra Fauzan Prasetyo Eka , Ubaidi Ubaidi , Kusuma R. Okky Firmansyah , Syam Abd Mu’iz , Efendy Satrio Ananta
Published: August 2024

This study aims to analyze the effect of distance on Wi-Fi signal quality in a home environment. With the increasing use of wireless devices and applications that rely on internet connectivity, Wi-Fi signal quality has become crucial to support daily activities such as streaming, online gaming, remote work, and smart home automation. This research employs an experimental method by measuring signal strength and data transmission speed at various distances from the Wi-Fi router. Measurements were taken at several points, ranging from 1 meter to 15 meters from the router, in different rooms and through different obstacles like walls and furniture.To conduct the analysis, a Wi-Fi analyzer was used to measure signal strength (in dBm) and a speed test was employed to determine data transmission speed (in Mbps) at each distance. The results showed that the greater the distance from the router, the Wi-Fi signal strength decreased significantly, leading to a corresponding decrease in data transmission speed. In addition, obstacles such as walls and electronic interference further degraded the signal quality.This study concludes that optimizing router placement and using signal booster devices, such as Wi-Fi extenders or mesh networks, can be effective solutions to improve Wi-Fi signal quality at home. It also highlights the importance of understanding and managing home network infrastructure to maximize Wi-Fi usage efficiency. By strategically placing routers and employing additional network hardware, users can ensure a stable and fast internet connection throughout their home, enhancing the overall user experience and productivity. Research provides valuable insights for homeowners and technology enthusiasts on how to achieve optimal Wi-Fi performance in various home environments.
Medical Record Information System Testing Using User Acceptance Testing to Determine System Quality
Authors: Budisaputro Crismantoro , Anardani Sri , Riyanto Slamet , Kusdwiadji Agustinus
Published: August 2024

Software testing is needed to find errors so that it can be ensured that the system works as expected. A software test that is not implemented seriously will have an adverse impact and cause various problems when used by end users. The learning process for STIKES Bhakti Husada Mulia Madiun medical record students includes practicum activities where students practice using the medical record system (SimRS) provided in the laboratory. SimRS was created to fulfill its function as a medium for student practical learning. However, in the process of implementing SimRS it is still unknown whether the system used is in accordance with students' practicum needs or not. Testing in this research uses User Acceptance Testing, namely testing 3 aspects consisting of software engineering test aspects, system functional tests, system visual tests by distributing questionnaires to 30 student respondents. Tabulated results of questionnaire calculations using the approach from Aydin & Tasci. The tabulation results show that for tests related to software engineering (RPL) the average score is 4.36, which means ready to go ahead or ready to continue. For tests related to system functionality, the average score is 4.40, which means ready go ahead or ready to continue. For tests related to the visual system, the average score was 4.35, which means ready to go ahead or ready to continue.