Interpersonal communication is a critical element in building and maintaining the quality of same-gender friendships, particularly among university students. These friendships are often misunderstood, with assumptions that they are linked to sexual orientation. This study examines the role of love language in interpersonal communication through five key dimensions: openness, empathy, supportive behavior, positive attitude, and equality, and how these dimensions influence same-gender friendships. A qualitative approach was used, involving in-depth interviews with four pairs of informants at Garut University, all students aged 18-25 who have been friends for at least two years. Data validity was ensured through source and method triangulation, with input from experts in communication and psychology to enrich the analysis. The results show that the dimensions of openness, empathy, supportiveness, positivity, and equality are fundamental in fostering emotional connections and improving the overall quality of friendships. These dimensions contribute to stronger bonds of trust, empathy, and mutual support, which are essential for maintaining harmonious and meaningful relationships. The study concludes that effective and honest communication, especially empathy and openness, is key to sustaining healthy same-gender friendships. It also encourages further research into the role of communication in diverse social relationships and highlights the importance of continually developing communication skills to nurture and strengthen interpersonal relationships.Komunikasi interpersonal merupakan elemen penting dalam membangun dan mempertahankan kualitas persahabatan sesama jenis, khususnya di kalangan mahasiswa. Persahabatan ini sering kali disalahpahami, dengan anggapan bahwa hal tersebut berkaitan dengan orientasi seksual. Penelitian ini menganalisis peran bahasa cinta dalam komunikasi interpersonal melalui lima dimensi utama: keterbukaan, empati, perilaku mendukung, sikap positif, dan kesetaraan, serta bagaimana dimensi-dimensi ini mempengaruhi persahabatan sesama jenis. Pendekatan kualitatif digunakan, dengan melakukan wawancara mendalam dengan empat pasangan informan di Universitas Garut, yang semuanya merupakan mahasiswa berusia 18-25 tahun yang telah berteman selama minimal dua tahun. Validitas data melalui triangulasi sumber dan metode, dengan masukan dari para ahli komunikasi dan psikologi untuk memperkaya analisis. Hasil penelitian menunjukkan bahwa dimensi keterbukaan, empati, dukungan, sikap positif, dan kesetaraan sangat penting dalam memperkuat hubungan emosional dan meningkatkan kualitas persahabatan. Dimensi-dimensi ini berkontribusi pada ikatan kepercayaan, empati, dan saling mendukung, yang esensial untuk mempertahankan hubungan yang harmonis dan bermakna. Penelitian ini menyimpulkan bahwa komunikasi yang jujur dan empatik, terutama keterbukaan dan empati, adalah kunci untuk mempertahankan persahabatan sesama jenis yang sehat. Penelitian ini juga mendorong eksplorasi lebih lanjut mengenai peran komunikasi dalam berbagai konteks hubungan sosial dan menekankan pentingnya pengembangan keterampilan komunikasi yang terus-menerus untuk memperkuat hubungan interpersonal.

This study examines the cultural politics affecting Indonesian literature in the global literary arena. It analyses how literary politics, standardisation, implicit agendas, and validation systems impact international reception. The study investigates how global literary standards reshape Indonesian narratives to match international preferences, often at the expense of cultural authenticity. In addition, several works by some prominent Indonesian authors, including Toer, Anwar and Kurniawan are being analysed. Using a descriptive-qualitative approach with discourse analysis, interview and case studies, the research reveals three key findings: translation challenges for Indonesian literary works, limited international publication opportunities, and underrepresentation in global literary awards and criticism. Based on these findings, the study advocates for more inclusive literary practices to enhance Indonesian literature’s global visibility while preserving its cultural integrity.

This study aims to analyze the relationship between individual behavior in the implementation of e-government and the implementation of e-budgeting to support the principle of transparency of the Regional Revenue and Expenditure Budget (APBD) and achieve good governance. E-government as a digital transformation in the government sector aims to improve efficiency, transparency, and accountability in the management of public administration. However, its success is highly dependent on individual behavior, including acceptance and adaptation to technology. E-budgeting, as one form of e-government implementation, is designed to increase transparency by providing easy and real-time access to the public regarding information on the use of the APBD. This study uses a literature study approach by reviewing various scientific articles and related documents from 2020 to 2024. The results of the study show that individual behavior, such as digital literacy and attitudes towards technology, play an important role in determining the success of e-government and e-budgeting. Although e-budgeting is able to increase transparency, challenges such as resistance to change, limited infrastructure, and low public trust in the government remain significant obstacles. Therefore, strategic steps such as community empowerment through digital literacy, increasing human resource capacity, and more effective communication between the government and the community are needed to ensure the success of this system. This research is expected to be a theoretical basis in developing a more effective e-government and e-budgeting implementation strategy in the future.

This study examines the process of preparing financial statements for Regional Work Units (Regional Work Units, SKPD) using an accrual-based accounting approach in accordance with Government Regulation No. 71 of 2010. The discussion focuses on the complete accounting cycle, from the opening balance sheet to the final financial statements. The methodology used includes literature review and best practice analysis, using illustrative data. The results emphasize the importance of a comprehensive understanding of the SKPD accounting cycle to produce accurate financial statements that adhere to established standards. Furthermore, this study reviews existing literature on transparency and accountability in local governments, identifies challenges and opportunities, and offers recommendations to enhance these aspects. By understanding the accrual-based accounting process and advancing transparency and accountability efforts, it is expected that local government financial statements will become more meaningful, reliable, and supportive of better decision-making processes for stakeholders.

Penyakit Kardiovaskular (Cardiovascular Diseases) adalah faktor utama kematian global, dengan jumlah korban mencapai 17,9 juta jiwa setiap tahun atau sekitar 32% dari total kematian global (World Health Organization, 2021). Faktor risiko penyakit kardiovaskular diantaranya faktor usia, semakin bertambahnya usia seseorang, maka semakin tinggi risiko terkena penyakit kardiovaskular. Faktor lain yaitu memiliki riwayat penyakit kardiovaskular dalam keluarga, diabetes, tekanan darah tinggi, obesitas (kegemukan), Pola hidup tidak sehat, dan Stres. (Kemenkes RI, 2021). Masalah pada penelitian ini adalah bagaimana mengetahui model K-Nearest Neighbors (KNN) dengan baik melalui perhitungan accuracy, recall, precision, dan f1-score pada klasifikasi penyakit kardiovaskular. Tujuan penelitin ini adalah mengetahui kinerja K-Nearest Neighbors (KNN) dengan baik melalui perhitungan accuracy, recall, precision, dan f1-score pada klasifikasi penyakit kardiovaskular. Metode K-Nearest Neighbor (KNN) adalah salah satu metode klasifikasi yang memanfaatkan pola-pola data yang ada dalam dataset untuk mengklasifikasi kategori atau kelas dari suatu sampel yang belum diketahui. Hasil klasifikasi data pelatihan menunjukkan akurasi sebesar 85.49%, dengan precision 84,43%, recall 87,04%, dan f1-score 85,71%. Melalui uji coba menggunakan KNN, diperoleh hasil dengan akurasi sebesar 91% dan nilai presisi 90%, recall 93%, dan f1-score 92%. Kesimpulan dari penelitian ini adalah metode K-Nearest Neighbor (KNN) memiliki hasil yang baik untuk melakukan klasifikasi pada penyakit kardiovaskular yaitu akurasinya 91%.

In maintaining the security of personal data in the digital era, it is very important to remember that personal data can be used by unauthorized parties for various purposes. This is like the notary profession which is now required to be able to maintain the security of each client's data. Notaries can participate in recording important digital documents, such as deeds and contracts, which can help prevent manipulation. Due to the problems that occur, of course the role of the notary in maintaining data security must be considered, especially in transactions and legal documents. Even though the digital world has changed the way many transactions are carried out, the role of notaries still plays an important role in ensuring the validity, integrity and security of digital documents. Notaries can witness and certify contracts and digital legal documents, making them legally valid. The aim of this research is to explain and analyze the role of notaries in maintaining the security of personal data in the digital era. The approach used in this research is a juridical-empirical approach. The results of this research are that the role of notaries in maintaining data security in the digital era has an important role in validating digital signatures. By verifying identity and ensuring that digital signatures are valid, notaries help ensure security in digital transactions. In addition, notaries can also provide digital certificates that confirm the validity of digital signatures and electronic documents. This certificate is a strong proof of authentication. This is proof that the Notary ensures that digital transactions comply with applicable laws, including data privacy regulations and cyber security regulations. This helps keep data secure.

The dispute between Indonesia and Malaysia over the islands of Sipadan and Ligitan continued throughout the years until 1997. The issue of Sipadan and Ligitan islands was resolved by international law through the International Court of Justice. The two islands located in the middle of Indonesia, precisely in the Makassar Strait, were finally won by the Malaysian side on December 17, 2002. The theory used in this research is the theory of legal protection. The theory of legal protection is very relevant to the research made here, because there is a need for legal protection regarding territorial boundaries in the territorial sovereignty of the State of Indonesia. The research method used regarding international legal protection of the Sipadan-Ligitan island dispute is carried out by means of qualitative descriptive research. The technique or instrument of data collection used is library research by studying various books as literature, official documents, laws and regulations, results of previous research, and other literature sources related to the problems studied. The decision of the international court on December 17, 2002 in its decision gave sovereignty over the islands of Sipadan and Ligitan to Malaysia, the international court declared Malaysia as the most entitled party to the two islands based on three main statements that were used as the basis for claims by both countries.

Diabetes Mellitus is a hazardous disease, and according to the World Health Organization (WHO), diabetes will be one of the main causes of death by 2030. One of the most popular diabetes datasets is PIMA Indians, and this dataset has been widely tested on various machine learning (ML) methods, even deep learning (DL). But on average, ML methods are not able to produce good accuracy. The quality of the dataset and features is the most influential thing in this case, so deeper investment is needed to examine this dataset. This research will analyze and compare the PIMA Indians and Abelvikas datasets using the Random Forest (RF) method. The two datasets are imbalanced, in fact, the Abelvikas dataset is more imbalanced and has a larger number of classes so it is be more complex. The RF was chosen because it is one of the ML methods that has the best results on various diabetes datasets. Based on the test results, very contrasting results were obtained on the two datasets. Abelvikas had accuracy, precision, and recall, reaching 100%, and PIMA Indians only achieved 75% for accuracy, 87% for precision, and 80% for the best recall. Testing was done with 3, 5, 7, 10, and 15 tree number parameters. Apart from that, it was also tested with k-fold validation to get valid results. This determines that the features in the Abelvikas dataset are much better because more complete glucose features support them.

The Human Development Index (HDI) & expenditure inequality for each province in Indonesia need to be studied whether the Human Development Index (HDI) and expenditure inequality in each district/city in Banten Province have an influence or not. The independent variable is the Human Development Index (HDI) and the dependent variable is expenditure inequality. The research method used is quantitative method using document data from the Central Statistics Agency (BPS) in Banten Province. The results showed that the Human Development Index (HDI) had no significant effect on expenditure inequality. Where if there is a decrease in the Human Development Index (IPM) it is not certain that it will reduce Inequality in Banten Province.

Abstract
Bell is certainly no stranger to education. In general, the bell still uses human power to ring it. It is still rare in the world of education to use an automatic bell that can work alone according to a predetermined time in the teaching and learning process. The purpose of the design of automatic bells at STIKOM Tunas Bangsa Pematangsiantar is to facilitate the work of picket officers and optimize the time for teaching and learning. The work process of this tool is to input the predetermined lesson time into the Arduino Uno Microcontroller using C language in the Arduino IDE Software. After that the microcontroller will read the program schedule hours that have been inputted into the microcontroller. If the program inputted matches the time schedule of today's lesson hours, the bell will automatically output the output in the form of an information notification sound. This tool also has a 16x2 Keypad Shield for setting the manual in the test mode that is matched in the time of the ongoing test and automatically produces notification sound output, where the automatic bell is fully controlled with the Arduino Uno Microcontroller command and the time setting that has been set into the RTC ( Real Time Clock) as a time saver.
 
Keywords: Arduino Uno, RTC, Keypad Shield 16x2, STIKOM Tunas Bangsa