bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Penerapan Aplikasi Pendaftaran Online Terhadap Pelayanan Pendaftaran Rawat Jalan di Rumah Sakit Hasna Medika Cirebon
Authors: Arnita Hasnah , Yuyun Yunengsih
Published: September 2024

The online outpatient registration system is a technological innovation in healthcare aimed at enhancing the efficiency of registration services. One of its implementations is carried out at Hasna Medika Cirebon Hospital through the Mobile JKN application. However, several challenges persist in its execution. This study aims to evaluate the impact, benefits, challenges, and solutions related to the use of the online registration application at Hasna Medika Cirebon Hospital. The research employs a qualitative descriptive method with purposive sampling. Informants include the head of the medical records department, registration staff, customer service officers responsible for managing Mobile JKN, and patients using the application. Data were collected through observation and interviews, followed by analysis through the processes of data collection, reduction, presentation, and conclusion drawing. The findings indicate that the implementation of the online outpatient registration system positively impacts the reduction of the registration staff's workload and facilitates patient access. Nevertheless, challenges remain, particularly for elderly patients without smartphones or those visiting the hospital unaccompanied. The hospital addresses these issues by providing patient education on system usage.
Implementasi Strategi Influencer Marketing untuk Membangun Brand Awareness di Industri Skincare Pria
Authors: Adireja Muhamad Husni , Barkah Cecep Safa’atul , Novel Nurillah Jamil Achmawati
Published: September 2024

The purpose of this study is to look into how influencer marketing techniques affect brand awareness in the men's skincare market. The method used is a literature review that examines relevant literature from scientific journals, using keywords such as "Advertising," "Strategy Implementation," and "Brand Awareness." Data was collected through Google Scholar and analyzed using bibliographic annotation techniques. The results show that influencer marketing has great potential to enhance brand awareness and consumer purchase intention. The appropriate use of influencers can increase public trust and brand strength, while inappropriate influencer selection can have negative impacts. The study also emphasizes that effective influencer marketing strategies involve selecting influencers that match the product persona and using integrated and sustainable marketing strategies. Thus, companies in the men's skincare industry can utilize influencer marketing to achieve optimal results in building brand awareness and encouraging consumer purchasing decisions.
Strategi Komunikasi Pemasaran dalam Optimalisasi Media Sosial Instagram Nafas Pertama
Authors: Putra Retno , Furrie Wullan
Published: September 2024

This research aims to identify and analyze First Breath marketing communication strategies in optimizing Instagram. First Breath, a birth documentation vendor, uses Instagram to expand its market and increase interaction with its audience. Using Integrated Marketing Communications (IMC) theory, this research focuses on advertising, sales promotions, public relations, direct marketing, interactive marketing, events and experiences, and word of mouth marketing. The research method is a qualitative case study through in-depth interviews with the marketing team, Instagram content analysis, and participant observation. The research results show that First Breath's communication strategy includes attractive visuals, collaboration with influencers, educational and inspirational content, as well as the use of Instagram's interactive features such as Stories and Reels. Consistency in branding and messaging is also important for a positive image and customer loyalty. In conclusion, optimizing Instagram through an integrated marketing communications strategy increases audience engagement and expands market reach. This research provides insight into best practices in utilizing social media for effective marketing communications, as well as recommendations for similar companies in developing innovative and efficient digital communications strategies.
Komunikasi Interpersonal Dosen dan Mahasiswa Perguruan Tinggi Vokasi di Jurusan Teknik Mesin Politeknik Negeri Malang
Authors: Amrullah Muhammad Adil , Kriyantono Rachmat , Riani Yuyun Agus
Published: September 2024

This article analyzes the strategies and models of interpersonal communication of lecturers to students at vocational colleges of the Department of Mechanical Engineering, Malang State Polytechnic. The results of the study show that interpersonal communication strategies are carried out with dididic and triadic models. Meanwhile, the interpersonal communication model of lecturers and students uses an interactive model, where there is interdependence and active participation between lecturers and students. Communication anxiety, both chronic (trait apprehension) and situational (state apprehension), can be an obstacle in the interaction between lecturers and students, affecting participation, presentation quality, and students' ability to convey ideas clearly and confidently.
Implementasi Data Mining dengan Metode Regresi Linear untuk Prediksi Hasil Penjualan di PT Awitama Cyndo Wahana
Authors: Pradita Anggi , Rasiban
Published: September 2024

The increase in the number of new entrepreneurs in Indonesia is influenced by technological developments, easier access to information, and government support. This increases the need for legal services such as making business permits and business agreements. Lack of understanding of the legal aspects of business can hinder business growth. PT Awitama Cyndo Wahana, a legality management service provider, has great potential to support new entrepreneurs. However, this company has not utilized sales data to predict future sales. This research uses sales data from PT Awitama Cyndo Wahana to predict sales using the linear regression method. The test results show that the Root Mean Squared Error (RMSE) is 458618.289, the Absolute Error is 183084.456, and the Relative Error is 0.98%. These results indicate that the prediction model has an adequate level of accuracy, although there are some prediction errors. The practical implication of this research is that PT Awitama Cyndo Wahana can use these sales predictions to plan more effective marketing strategies and make data-based business decisions, so that they can better support the growth of new entrepreneurs.
Optimasi Deteksi Tumor Otak Menggunakan Adaptive Multiscale Retinex dan YOLOV10 Pada Citra Digital
Authors: Mulyana Dadang Iskandar , Alifah Rifdah
Published: September 2024

The incidence of brain tumors in Indonesia continues to rise annually, affecting both adults and children. Therefore, an effective detection system is required to differentiate MRI images showing the presence of brain tumors from those that do not. This distinction is crucial in the analysis and diagnosis of medical images. This study aims to optimize brain tumor detection in digital images by combining the Adaptive Multiscale Retinex (AMSR) method with the YOLOv10 algorithm. AMSR enhances the quality and contrast of brain images, making critical details more visible. The method adjusts the scale and intensity of image lighting to address uneven illumination and improve the visibility of brain structures. YOLOv10 is recognized for its speed and accuracy in real-time object detection. This algorithm employs deep learning techniques to identify and classify objects with high precision on enhanced brain image datasets. The model's performance was evaluated using metrics such as accuracy, sensitivity, specificity, and computation time. Results indicate that the combination of AMSR and YOLOv10 improves the accuracy and efficiency of brain tumor detection compared to conventional methods. The YOLOv10 model achieved a detection accuracy of 92%. This study provides significant contributions to early brain tumor detection technology, with important implications for the healthcare sector.
Implementasi Data Mining Prediksi Penjualan Produk Semen Menggunakan Metode Linear Regression (Studi Kasus PT. Toyo Mortar Indonesia)
Authors: Badzlin Rosyiqoh , Setiawan Kiki
Published: September 2024

The cement industry in Indonesia plays a vital role in infrastructure development and the construction sector. PT. Toyo Mortar Indonesia, established in 2015 in the Tangerang industrial area, focuses on the production of instant mortar cement. However, the national cement industry faces the challenge of declining sales due to the pandemic, which has affected people's purchasing power and slowed down property and infrastructure projects. To achieve future growth potential, the right strategy is needed in sales planning. This study implements data mining using the linear regression method with the RapidMiner application to predict cement product sales. The data used includes historical sales data and product information from PT. Toyo Mortar Indonesia. In the tests conducted, the data was processed using 12 variables, of which 10 variables influenced the prediction results: TM-168, TM-178, TM-188, TM-189, TM-198, UM-100, UM-101, UM BIRU, raw materials, and other sales. The test results show that the Linear Regression method can predict cement product sales with an average Root Mean Square Error (RMSE) value of 493,125.701 with a standard deviation of 126,330.525. The average Absolute Error is 303,270.965 with a standard deviation of 46,207.586, and the average relative error is 1.89% with a standard deviation of 0.36%, indicating very good prediction accuracy. This can help the company in making decisions related to sales planning using the available sales data.
Implementasi Data Mining Klasifikasi Fuel Surcharge Menggunakan Algoritma Naive Bayes Studi Kasus PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok
Authors: Baidowi Ahmad , Sutisna
Published: September 2024

In the application of fuel surcharge in PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok, it is necessary to display data that can help become the basis for the imposition of fuel surcharge from data on the movement of pilot vessels / tugboats which is the basis for the imposition of fuel surcharge in PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok, this research was conducted to help provide information to workers, Kesyahbandaran Otoritas Pelabuhan Utama and ship service users or shipping agents in more detail related to the imposition of fuel surcharge in the PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok environment, using data mining methods in fuel surcharge peneran as a consideration to make it easier to understand, easier to see and easier to operate. With this data mining method, it will help the company to become an important data and facilitate workers in the data collection section related to fuel surcharge in which there is a recap of the number of ship movements, the number of notes, the strength of groos tons (GT), house power (HP) of the ship and payment status. The use of data mining methods is expected to be a solution for workers in data collection and become a history of fuel surcharge collection within PT Pelabuhan Indonesia (Persero) Regional 2 Tanjung Priok.
Representasi Dampak Hoax Pada Film Budi Pekerti Karya Wregas Bhanuteja : Konten Viral
Authors: Syarifah Arneta , Urfan Noveri Faikar
Published: September 2024

Misusing social media can make the process of verifying information abandoned and the information or news consumed by the public even more misleading. This study will discuss the representation of the impact of Hoaxes shown in the film Budi Pekerti by Wregas Bhanuteja. The aim is to analyze how the representation of the effects of Hoaxes depicted through viral content in the movie raises social issues today. This study uses a qualitative approach that is descriptive and uses the Roland Barthes semiotic analysis method through three stages that are presented in analyzing the meaning of signs, namely, the meaning of denotation, connotation, and myth, with data collection techniques, namely non-participant observation and documentation in the form of screen capture. The results of this research in the film Budi Pekerti present the impact of Hoaxes that can lead people to negative perceptions and negative comments quickly, cause cyberbullying and damaged reputation, cause the phenomenon of cancel culture, cause a domino effect and truth that is no longer important in a person's life. This research also provides awareness that you must be wise and ethical in social media by not being easily incited, finding out the truth first, not behaving impulsively, and having a sense of empathy.
Pengembangan Aplikasi Mobile untuk Pasien Telkomedika dengan Tipe Kepribadian Influence Menggunakan Metode Design Thinking
Authors: Mohamad Ilham Syarief Roem , Perdana Ilham , Nuraliza Hilda
Published: September 2024

The digitalization of healthcare services has transformed the Indonesian healthcare business, making health services more accessible. Digitalization improves medical services and outcomes. However, the academic community frequently encounters challenges when using Telkomedika services or getting information fast. As a result, further efforts are needed to ensure that the platform provides a seamless and efficient user experience. One area that can be improved is the user interface. A more engaging design can help users navigate the site more easily. This incorporates a cleaner, clearer layout and a responsive design, allowing consumers to use all Telkomedika functions with ease. This study used a design thinking technique to develop the user interface and experience for the Telkomedika application, taking into account the Influence personality type. According to the DISC model, this type identifies people who are outgoing, extroverted, and prefer broad social circles. According to the findings, this technique efficiently meets patients' demands and preferences, resulting in increased comfort and pleasure.
Analisis Sentimen Persepsi Masyarakat Terhadap Timnas Indonesia U-23 dalam AFC-23 Asian Cup 2024 Pada Media Sosial X Menggunakan Metode Naïve Bayes Classifier
Authors: Nufus Reda Hayati , Surapati Untung
Published: September 2024

Social media Twitter, or now called X, not only serves as an effective communicative medium, but it can also make it easier for people to find information or interact directly with other X users, and become a container for holding opinions. X users in Indonesia often express their opinions on all areas including sports, especially the Indonesian Football Team, which has recently been heatedly discussed because of the talent of all the players who succeeded in attracting the attention not only of football fans, but of the entire Indonesia public at the AFC ASIA CUP U 23 2024 competition held in the country of Qatar. The study uses the Naive Baiyes classification method to analyze the sentiment of comments and comments on Social Media X against each match. Sentiment data from user comments on social media X is collected and classified as positive, and negative. The final results of sentimental analysis using the naïve bayes method showed accuracy values of 73.94% out of 972 datasets, with 143 predicted negative data and 828 predictable positive data. So it can be concluded that most of the public's perception is positive because they see the struggle and performance of the Indonesian National Football Team in making the nation proud.
Strategi Komunikasi Politik Tim Sukses Pemenangan Pemilu Anies-Amin dalam Membangun Dukungan Publik melalui Twitter
Authors: Mukharomah Nurul , Lenggana Wulan Furrie
Published: September 2024

Anies Baswedan and Muhaimin Iskandar are two political figures with different backgrounds and profiles, but both have significant achievements. They face rivalry in the 2024 election with other candidates from political parties or independents. Their winning teams played an important role in shaping the candidate's image and gaining public support, especially through social media. This research focuses on the political communication strategy of the AMIN success team in gaining public support via Twitter. The research method used is qualitative with in-depth interviews and observation. The research results show that the team successfully used four communication strategies: propaganda and persuasion, use of mass media, agenda setting and framing, and public participation and interaction. The successful team faced several obstacles, including segments of society that were not active on social media and limited campaign funds. This hinders the implementation of broader and more inclusive communication strategies, such as face-to-face campaigns and the use of traditional media. Even though the strategy on Twitter has succeeded in creating an interactive digital public space, it is still necessary to expand the reach of the campaign and overcome funding limitations to increase the overall effectiveness of the campaign.
Perancangan Sistem Pendukung Keputusan Pemilihan Supplier dengan Metode Analytical Hierarchy Process (AHP) Pada CV. Safina Abadi
Authors: Hidayat Jatmiko Tejo , Diartono Dwi Agus
Published: September 2024

The contractor industry, including CV Safina Abadi, has a significant need for selecting the right suppliers to ensure smooth project execution. Optimal supplier selection can affect various critical aspects of a construction project, such as product quality, availability, competitive pricing, service, and reputation. However, due to the numerous supplier options available, companies often face difficulties in evaluating and choosing the most suitable supplier based on their needs and criteria. Therefore, utilizing a Decision Support System (DSS) with the Analytical Hierarchy Process (AHP) method presents an effective solution to assist companies in the supplier selection process. By employing AHP, companies can model a hierarchy of selection criteria, from main criteria down to more detailed sub-criteria. AHP further enables companies to measure and compare the relative weights of each criterion and sub-criterion, providing recommendations for the most optimal supplier based on the company's preferences and requirements. This research aims to design and implement a Decision Support System using the AHP method to assist in supplier selection for CV Safina Abadi. It is hoped that this study will contribute to improving the efficiency and effectiveness of supplier selection, thereby enhancing overall project performance in the construction industry.
Analisa Sentimen Rencana Pemindahan Ibu Kota Nusantara dari Jakarta ke Kalimantan Timur Menggunakan Algoritma Naïve Bayes
Authors: Azis Iim Muhaemin Abdul , Wahyudi Tri
Published: September 2024

The relocation of Indonesia's capital city has been a highly debated topic in recent years. This decision has sparked various opinions and views from the public, especially as reflected on social media platforms like Twitter. This research aims to understand the perspectives and attitudes of Indonesian citizens regarding the plan to move the capital to Nusantara, as expressed on Twitter. Sentiment analysis using the Naïve Bayes algorithm is employed to classify tweets into positive and negative sentiment categories. By leveraging data from Twitter, this study aims to provide deeper insights into public perception and attitudes towards the relocation of the government center. The research used a dataset of 375 tweets. The results, analyzed using RapidMiner, show that the precision for positive sentiment is 94.89% and for negative sentiment is 65.00%. The recall for negative sentiment is 48.15%, while the recall for positive sentiment reaches 97.38%. The model's accuracy is 92.82%, indicating that the Naïve Bayes algorithm can effectively classify sentiments using the available data. This study offers insights into public support and opposition, as well as the factors influencing their attitudes towards the capital relocation plan.
Implementasi Data Mining Klasifikasi Gejala Penyakit TB Menggunakan Algoritma Naive Bayes pada Studi Kasus Puskesmas Pegangsaan Dua B
Authors: Fahmi Hakon , Sutisna
Published: September 2024

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. The bacteria can enter the lungs, causing the patient to experience shortness of breath and chronic coughing. The infection process in TB progresses through three main stages: primary infection, latent infection, and active infection. During the primary infection stage, the bacteria enter the lungs through inhaled air. If the immune system successfully controls the bacteria, the infection becomes latent, where the bacteria remain inactive and cause no symptoms. However, if the immune system fails, the infection becomes active, and the bacteria attack healthy lung cells, leading to severe symptoms. Tuberculosis remains a major cause of global morbidity and mortality. According to the 2022 WHO report, Indonesia ranks second in the world with an estimated 969,000 TB cases, or 354 per 100,000 people, and a mortality rate of 144,000, or 52 per 100,000 people. This study aims to improve the accuracy of TB diagnosis through the application of the Naive Bayes algorithm, applied to patient data from the Pegangsaan Dua B Community Health Center. The dataset includes 1,527 training data and 1,029 testing data, covering attributes such as patient name, gender, age, identification number, registration date, address, diagnosis status, and diagnosis results. The results indicate that the Naive Bayes algorithm achieved an accuracy of 99.71%, showing its potential for early and accurate TB diagnosis prediction.
Implementasi Backup Koneksi Jaringan Menggunakan Metode Failover MikroTik pada PT Tiga Kawan Sertifikasi
Authors: Raharjo Pratama Putra , Setiawan Kiki , Kastum
Published: September 2024

The internet plays a vital role in supporting business operations in companies or organizations by accelerating the flow of information and enabling real-time connections. According to a report by We Are Social, the number of internet users in Indonesia reached 213 million in January 2023, accounting for about 77% of the total population. However, despite the numerous ISPs in Indonesia, not all internet services are affordable or of high quality, and some areas remain inaccessible to providers using fiber optic connections. PT. Tiga Kawan Sertifikasi, a company engaged in legal services in Tangerang, faces challenges with its internet connection as it relies solely on a single provider, Orbit from Telkomsel. Issues arise when the modem signal frequently drops due to the use of SIM card media instead of fiber optic cables. The proposed solution is to add another provider as an alternative and implement a failover method on a Mikrotik router to ensure a stable connection.
Penerapan Algoritma A* (A-Star) untuk Mencari Rute Terpendek dari Bumi Perkemahan Pramuka Cibubur ke Stadion Gelora Bung Karno
Authors: Mutia Selvi , Lestari Sri
Published: September 2024

Jakarta, with its heavy traffic, has many alternative routes to reach destinations. The Gelora Bung Karno Stadium (GBK) is an iconic sports venue in Indonesia, built in the 1960s and serving as the center for various sports and entertainment events. Although the Cibubur Scout Campground (Buperta) offers outdoor activities, its sports facilities are limited compared to GBK. Residents of Cibubur often face traffic congestion when heading to GBK, especially on weekends. This study aims to apply the A* algorithm to find the shortest and fastest route from Buperta to GBK using Google Maps features. The A* algorithm is chosen for its optimal route search capabilities. The research findings indicate that among the four routes studied (Mayjen Sutoyo Cawang, Dewi Sartika, TB Simatupang, and Lenteng Agung), the Dewi Sartika route is the fastest, with a distance of 15.070 km. The implementation of the A* method is expected to assist the public in finding the fastest route and addressing traffic congestion as well as the lack of knowledge about alternative routes.
Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman
Authors: Tundo  , Sodik  , Setiawan Kiki , Aula Raisah Fajri
Published: September 2024

Smart farming has become a major focus in the development of modern agricultural technology. In this context, the Internet of Things (IoT) offers innovative solutions to increase productivity and efficiency in crop management. This research introduces an IoT-based plant watering monitoring system that uses a fuzzy algorithm and an ESP32 microcontroller. This system is designed to automatically regulate plant watering based on environmental conditions and plant needs. The ESP32 microcontroller acts as the brain of the system, collecting environmental data such as soil moisture, air temperature, and relative humidity. This data is analyzed using a fuzzy algorithm to determine plant watering needs in real-time. Based on the output of the fuzzy algorithm, the system automatically controls the water pump to water the plants according to the specified needs. The application of fuzzy algorithms allows the system to overcome uncertainty in plant watering decisions, especially in the face of complex variations in environmental conditions. With the adoption of IoT technology, farmers can monitor and control crop watering efficiently through web interfaces or mobile applications, even remotely. This research shows that the integration of IoT with fuzzy algorithms and ESP32 microcontrollers can be an effective solution in managing crop watering, increasing overall agricultural productivity, while reducing water and energy consumption.
Implementasi Algoritma Naive Bayes untuk Analisis Sentimen Terhadap Program Makan Siang Gratis
Authors: Tundo  , Rachmawati Dea Noer
Published: September 2024

The work program promised by the 2024 Presidential Candidate and Vice Presidential Candidate pair, namely, Prabowo Subianto and Gibran Rakabuming Raka, one of which is a free lunch program, this program is an effort to improve community welfare, but this has attracted public attention on social media, one the other is platform X. The public response to the free lunch program is the main focus. In this research, researchers analyzed sentiment related to the free lunch program using the Naive Bayes method using the Python programming language on Google Colab to analyze sentiment towards social media users. X. the results obtained from 920 tweets data, there are 167positive value tweets, 744tweets are negative. The evaluation results with the confusion matrix showed an accuracy of 86.95%, with precision 93%, recall 61%, and F1-Score 65%.From the results of this research it can be concluded that the majority of the public who commented on social media X gave a negative response to the free lunch program. These results can be used as material for government evaluation in determining effective and efficient policies for society.
Pengaruh Komunikasi Pemasaran, Kualitas Produk, dan Label Halal terhadap Keputusan Pembelian di TikTok Shop
Authors: Elizabeth  , Pradiptha Anindya Putri , Setiono Devit , Putra Dhika Purnama , Putra Ricky Widyananda
Published: September 2024

TikTok is a effective medium to promote and selling product. Because Tiktok has hundred of thousand users, which of course makes the product known to various group. This application has been successfully used by various brand to promote their products to consumers, especially to cosmetic industry, both local product and international brand. One of local product that dominates market share is Wardah Kosmetik as with its trademark as halal cosmetics. This study aims to analyze and examine the factors influence consumer purchase decisions Wardah Lipstick products of TikTok aplication users. These factors include the product quality, promotion and halal label. The research used the quantitative with regression analysis method. The sampling method used purposive sampling and the number of samples used in this study amounted to 75 respondents source was distribution of questionnaires to TikTok users in Central Lombok by online via WhatsApp. The data were analysed with IBM SPSS version 21 and analysis was carried out by several tests such as validity test, realibility test, classic assumption test, linear regression analysis and coefficient of determination test. The results of this study indicate that the product quality, promotion and halal label has a significant effect on purchase decisions Wardah Lipstick products of TikTok aplication users. The findings of this study can be reference uses as a reference for future researchers  who will study similar problems. This research can also be a reference for companies to always be able to maintain aspects of product quality, promotion and halal label in designing and determining effective and efficient markering policies.
Analisis Sentimen Respon Publik Terhadap Program Internet Gratis di Platform X Melalui Pendekatan Algoritma Naïve Bayes
Authors: Julianto Muhammad Rizky , Akbar Yuma , Wahyudi Tri
Published: September 2024

The free internet program was launched in response to the public's need for affordable internet access. Digital transformation relies on four main pillars, including infrastructure, government, digital society, and the economy. In addition, connectivity is also an important component. Indonesia is one of the countries where many people are not connected to the internet. We Are Social reported that there are 63.51 million people throughout the country who have not been connected to the internet until early 2023. The number is the eighth largest globally. After the acceleration of ICT infrastructure development, there is a need for a free internet program initiated by the government or certain organizations that aims to provide wider and more equitable internet access, especially to students and the general public, especially in areas that have not yet received internet access. Although free internet programs are very beneficial, it is undeniable that there are a number of negative impacts that need to be considered. It is important to be aware of and overcome its negative impact. It is necessary to Sentiment Analysis of free internet programs to find out how much positive and negative responses there are in this program with the Naive Bayes algorithm approach so that the need for free internet programs can be realized.
Analisis Sentimen Terhadap Kendaraan Listrik di Indonesia Menggunakan Metode Klasifikasi Naïve Bayes
Authors: Farhani Aulia , Sutisna
Published: September 2024

Indonesians' awareness of environmental issues and carbon emission reduction is driving interest in electric vehicles as eco-friendly transportation. The Indonesian government supports the transition from conventional vehicles to electric vehicles to reduce carbon and greenhouse gas emissions, as seen by the significant increase in the use of electric vehicles from 2021 to 2023. Ministry of Industry data shows this increase, supported by Presidential Regulation No. 79 of 2023. While electric vehicles offer benefits such as zero emissions and high efficiency, challenges such as limited charging infrastructure still exist. Public response is mixed, influenced by environmental awareness, government incentives, and technology. To understand public sentiment, this study uses sentiment analysis from social media X (Twitter) with the Naïve Bayes method. The test results show an accuracy of 84.13%, with a recall of 92.70% positive sentiment and 50.00% negative sentiment. Precision of positive sentiment reaches 88.06%, while negative sentiment is 63.27%. With a total of 2,468 datasets, 2,198 data were predicted as positive sentiment and 298 as negative sentiment. This research aims to provide an understanding of public sentiment towards electric vehicles, helping the government and the automotive industry in designing policies and promotions.
Analisis Sentimen Tanggapan Pengguna Media Sosial X Terhadap Program Beasiswa KIP-Kuliah dengan Menggunakan Algoritma Support Vector Machine (SVM)
Authors: Amelia Ika , Sugiyono  , Sarimole Frencis Matheos , Tundo
Published: September 2024

The KIP-Kuliah Scholarship is an Indonesian government program which aims to provide access to higher education for students from underprivileged families. This program has become a hot topic of discussion on social media, including social media. The object of research is comments on X's social media regarding the KIP-College Scholarship. Research methods include crawling data using google collabs, data preprocessing, Support Vector Machine model training, and model evaluation using RapidMiner. The research results show that the Support Vector Machine model is able to classify sentiment with an accuracy of 86.27%, but there is a bias towards negative sentiment. The majority of public responses are negative, often regarding misuse of scholarships. The suggestions given include collecting more balanced data, using dataset balancing techniques, implementing more complex models, and more in-depth evaluation to improve model performance. It is hoped that this research will provide input for the government in improving the KIP-College Scholarship distribution mechanism so that it is more targeted and reduces the potential for abuse.
Instagram Social Media Management Strategy @Disparbudpora_Bondowoso As A Communication Medium In Promoting Bondowoso District Tourism
Authors: Malaihollo Trifena Putri
Published: September 2024

This research is motivated by the concern of the Bondowoso Regency Government about falling behind Banyuwangi Regency in promoting one of their top tourist attractions, the Ijen Crater. The Ijen Crater has been recognized as part of the Global Geopark. Currently, many local and foreign tourists consider the Ijen Crater a Banyuwangi tourist destination because it spans two regions. The objectives of this research are first to understand the social media management by the @pariwisata_bondowoso  account, and second to assess the impact and results of social media management in promoting tourism in Bondowoso Regency. This research employs a qualitative method. Data Data were collected using observation techniques, direct interviews, and documentation. The conclusion drawn is that the tourism promotion strategy implemented by Disparbudpora is quite good in providing informative and engaging content, but there are challenges in conducting evaluations, which have not been optimal. The impact of Disparbudpora Bondowoso's social media management in promoting tourism in Bondowoso Regency is evident from the followers' responses in the comment section, likes, and the reach achieved by the @pariwisata_bondowoso Instagram account. The result of the social media management by Disparbudpora is that followers receive relevant and high-quality information.
Pengembangan Media Pembelajaran Berbasis Teknologi Augmented Reality (AR) dengan Algoritma Vuforia SDK pada Mata Pelajaran IPA Kelas VIII di Madrasah Al-Aqsha (MTS)
Authors: Aryanti Putri Gea , Rasiban  , Sarimole Frencis Matheos , Tundo
Published: September 2024

This research aims to develop learning media in the form of an Android-based Augmented Reality application on human respiratory system material which can provide information about the introduction of respiratory system organs and their processes, and markerless images of the shapes of the organs which have been input into the Vuforia SDK library. This research develops an Augmented Reality application as an introduction to the organs of the respiratory system using several tools such as: MDLC, Unity, ARToolkit to better understand students about the respiratory system. The application of Augmented Reality in this research uses the Marker Based methods. The Augmented Reality application for recognizing the respiratory system in humans was tested using BlackBox with results of passing the system functional test 100% and usability testing results using a questionnaire. The learnability aspect was 4.47, efficiency 4.43, memorability 4.2, errors 4.5, and satisfaction 4.52, this application was tested in the "Good" category. Although there are problems with the quality of the camera and lighting, the test results show that this application is interesting and worthy of being developed again, so the implementation of Augmented Reality on MTS Al-Aqsa is the right step to support the method concept learning.
Social Media Marketing: a Systematic Literature Review
Authors: Ariefiansyah Firman , Jannah Miftahul
Published: September 2024

AbstractThis research aims to analyze the definition, antecedents, and consequences of social media marketing through a systematic literature review approach. Using the Publish or Perish and Vos Viewer applications, this study collected and analyzed 20 articles indexed in Scopus and Sinta from 2013 to 2024. The results of the analysis show that social media marketing is a promotional tool and a platform for building open communication between businesses and consumers. The identified antecedents include factors that influence the effectiveness of social media marketing, while the consequences include the impact on customer loyalty and user interaction.
AbstrakPenelitian ini bertujuan untuk menganalisis definisi, anteseden, dan konsekuensi  pemasaran media sosial melalui pendekatan kajian literatur sistematik. Dengan menggunakan aplikasi Publish or Perish dan Vos Viewer, penelitian ini mengumpulkan dan menganalisis 20 artikel yang terindeks di Scopus dan Sinta dari tahun 2013 hingga 2024. Hasil analisis menunjukkan bahwa pemasaran media sosial tidak hanya berfungsi sebagai alat promosi, tetapi juga sebagai platform untuk membangun komunikasi terbuka antara bisnis dan konsumen. Anteseden yang diidentifikasi mencakup faktor-faktor yang mempengaruhi efektivitas pemasaran media sosial, sedangkan konsekuensi mencakup dampak terhadap loyalitas pelanggan dan interaksi pengguna.
Determinan Adopsi Teknologi Digital Pada UMKM di Indonesia
Authors: Purnomo Singgih , Suci Purwandari
Published: September 2024

AbstractThis study examines the impact of digital transformation on businesses, driven by global market and socio-economic changes, such as pandemics and supply chain disruptions. It tests the UTAUT model and the influence of the business environment on MSMEs' adoption of digital technology, using purposive sampling with 319 MSME owners and managers. The research, analyzed via PLS-SEM, finds that effort expectancy and facilitating conditions from UTAUT, along with competitive and trading partner pressure, significantly affect MSMEs' intention to adopt digital technology. The study recommends improving user-friendly features and infrastructure to support digitalization for MSMEs.
AbstrakPenelitian ini mengkaji dampak transformasi digital pada bisnis, yang didorong oleh perubahan pasar global dan sosial-ekonomi, seperti pandemi dan disrupsi rantai pasokan. Penelitian ini menguji model UTAUT dan pengaruh lingkungan bisnis terhadap adopsi teknologi digital oleh UMKM, menggunakan purposive sampling dengan 319 pemilik dan manajer UMKM. Penelitian yang dianalisis melalui PLS-SEM ini menemukan bahwa ekspektasi usaha dan kondisi pendukung dari UTAUT, serta tekanan kompetitif dan tekanan mitra dagang, secara signifikan mempengaruhi niat UMKM untuk mengadopsi teknologi digital. Studi ini merekomendasikan peningkatan fitur yang ramah pengguna dan infrastruktur untuk mendukung digitalisasi UMKM.
Troubles and satisfactions of a valiant librarian: new documentation about Guerriera Guerrieri from her personal archival file preserved at the Central State Archive
Authors: Sabba Fiammetta
Published: September 2024

Guerriera Guerrieri is a protagonist of the Italian cultural history of the last century, remembered for the intensity of her work and for the multiplicity of initiatives and actions that characterized her professional activity as a librarian and which still allow us today to remember her as a figure of absolute importance in Italy; among these, the development of cataloging rules, the cataloging of periodicals and the diffusion of books and reading, activities which he carried out with an awareness not only about librarianship, but also about cultural and bibliographical aspects. Guerrieri's professional and personal life, however, was not simply dotted with satisfactions and successes, but the war, some family deaths, the instability of a residence, and envy and slander exacerbated by the fact that she was a capable and esteemed woman in her own environment, forced her to resist tenaciously until she was discharged from service. To the analysis and contextualization of the information already known, this essay adds the critical presentation of others documents from the numerous documents contained in his personal file preserved in Rome at the Central State Archive.
Gender Equality in Publishing and Communication of the Vine and Wine
Authors: Biondi Bartolini Alessandra , Massa Monica
Published: September 2024

The wine sector has historically been dominated and led by men, but in recent decades many women have started to occupy various roles, from production to marketing. However, disparities persist in terms of career progression, as well as contractual and salary treatment. Unfortunately, the available data is often fragmented and not always representative, as gender equality reports are not widespread and do not always take into account the positions in the organization chart. In wine communication women are still often represented in a stereotypical manner, although some recent articles and books have begun to denounce the existence of the gender gap and the lack of visibility for women in top roles in companies, consortia, academies, and editorial offices as well as in wine and vine events. The article presents a series of data on the presence of women in events, panels and conferences in the sector and analyzes the opportunities (existing or missed) related to visibility or to its lack in such occasions, before presenting the case of Millevigne magazine, which represents an example of female leadership in the technical publishing sector.
literary events of a women's Club: the Lyceum Club of Florence
Authors: Roselli Lucia
Published: September 2024

The International Lyceum Club is a women’s cultural club active in Florence since 1908, where women meet to enrich and enhance their culture and to follow the many events of artistic, literary, musical and scientific interest organized by the Club. This study traces, in particular, some of the major events organized by the Literature section between the years 1912 to 1970. The Literature Section presented to Club members the works and thoughts of writers and poets, novels, poetry collections, children’s books, and staged plays on the Club stage. Evidence of each event is preserved in the archival papers kept in the Lyceum Club’s headquarters.
Women writing about women. Mercede Mundula’s documents in the University Library of Cagliari
Authors: Mariangela Rapetti
Published: September 2024

The essay presents the life and documents of the Cagliari-born poet, essayist and writer Mercede Mundula (1890-1947). The documents were donated by her daughters to the University Library of Cagliari in 1997. The archive includes the work materials, the manuscripts and typescripts, correspondence relating to the successes of her works, conference texts, reviews and some of the posthumous critical literature. The manuscripts and correspondence were registered on Manus Online database, the printed materials were not. The complete list of documents is available at the Library, but the ‘non-archival’ treatment of fonds prevents a complete contextualisation and correct reading of the archive. It would be desirable, in view of the creation of an integrated information system, to proceed with an analytical description of fonds, while maintaining the order given by the producer and her heirs.
Traces of holiness: blessed women, holy women in the papers of diocesan archives
Authors: Nicolai Gilda
Published: September 2024

The article aims to focus attention on the study of blessed women and holy women through the documentation found in diocesan archives and belonging to the series of canonization processes. With the regulation of the process, narrative organization gave way to legal defense, confrontation to analysis, and narrative to texts that had evidentiary value, and all this gave rise to a mine of information not only about the lives of the blessed and holy women, but also about the society in which they had lived.
Female travel archives: cultural and social itineraries in Beatrice Lanza Branciforti diaries
Authors: Manali Sara
Published: September 2024

Beatrice Lanza Branciforti was a sicilian countess who lived throughout the 19th century. She traveled extensively, managed her patrimonial and personal interests and, together with Lucio Mastrogiovanni Tasca, established the house of the Counts of Almerita. Her 13 diaries, along with the other documents that constitute her travel archive, provide a window into 19th-century trends: destinations, itineraries, encounters, and leisure activities are central to this narrative through text and images.
Women in the Metaverse and the gender data gap: a cultural approach
Authors: Morriello Rossana
Published: September 2024

The metaverse is an immersive and interconnected technological environment that we are already a part of. We live in a "meta" environment compared to reality, in which the digital world and the analog world continuously intersect in an uninterrupted flow. We are surrounded in our daily lives by digital connections and objects that connect with each other and with the real world, from which they draw data. In the metaverse, whether understood in this broad sense or in a narrow sense, social structures and gender biases are reproduced, with all the elements of intersectionality present in reality, deeply rooted in the socio-cultural context and represented in the data used by algorithmic models. The predominance of men in the fields of study and work in information and communication technologies, where algorithmic models are developed, does not facilitate the overcoming of these problems. The data underlying artificial intelligence and the metaverse reflect the gender biases present in work, education, scientific research, journalism, and many other sectors. However, digital technology, artificial intelligence, and the metaverse can offer opportunities to overcome the gender gap.
The motivations for a women's series
Authors: Martorano Annantonia , Sonzini Valentina
Published: September 2024

The sources often speak of the world of women in an indirect, cross-cutting way, since over the centuries women have played social, legal, economic and cultural roles that are not always evident. Only in a few cases can gender studies boast of archives and libraries of exclusively female provenance: even with reference to recent periods, their number is small, either because of conservative conduct anchored in outdated historiographical hierarchies or as a result of women's lesser aptitude for documenting their existence and their role in society, expressing a difficulty in considering themselves as agent subjects in history.
It is precisely on this side that the organization of the cycle Profiles of Women among Papers and Books was oriented, with which the aim was to illustrate to a wide audience the lives of some female figures and institutions that represent, or have represented, at several levels’ Italian society and culture through the cognitive lens of their papers and books.