Proses rekrutmen tenaga kesehatan di Rumah Sakit Islam Ar-Rasyid Palembang masih dilakukan secara manual, menyebabkan inefisiensi dalam manajemen data pelamar, penjadwalan wawancara, dan komunikasi. Penelitian ini merancang aplikasi open recruitment berbasis web dengan mengintegrasikan algoritma round-robin untuk penjadwalan otomatis dan modul CV parsing berbasis natural language processing (NLP). Metode pengembangan menggunakan Software Development Life Cycle (SDLC) model Waterfall dengan tahapan analisis kebutuhan, perancangan, implementasi (Laravel & MySQL), dan pengujian black-box. Hasil implementasi ini menunjukkan sistem berhasil mengurangi waktu rekrutmen hingga 50% serta dapat meningkatkan akurasi manajemen data pelamar. Aplikasi ini memenuhi standar Kepmenkes No. 123/2022 tentang Sistem Informasi Rumah Sakit.

Descriptive analysis of the implementation of sharia financial accounting standard reports of BTM BiMU Bandar Lampung is presented in this paper. Accounting principles related to the presentation of financial statements in accordance with PSAK 101 concerning sharia financial statements and recognition, measurement, presentation, and disclosure of murabahah transactions based on PSAK 102 concerning mudharabah are the subject of the study. KSPPS BTM Bimu Bandar Lampung City is the target of the study. The qualitative methodology and primary data used in this study were obtained from BTM BiMu. The results of the study indicate that KSPPS BTM Bimu has not implemented accounting procedures in accordance with sharia PSAK.

The folktale "Bawang Putih dan Bawang Merah" is one of the oral cultural heritages that is widespread in the Nusantara region, especially in the Indonesian and Malay language traditions. This study analyzes the narrative structure and moral values ??contained in the story through a structural and hermeneutic approach. The analysis shows that this story has a distinctive structure with a pattern of family conflict, heroic journey, and moral resolution that reflects the traditional value system of the Malay-Indonesian community.
 
 

This research aims to outline the integration of Georg Wilhelm Friedrich Hegel and Karl Marx's thoughts in Slavoj Žižek's philosophy through Jacques Lacan's psychoanalytic perspective. The main focus of the research is to understand how Žižek combines Hegel's dialectic that emphasises process, difference and contingency with Marx's materialism critique that has been considered too teleological, and enriches his analysis with Lacan's theory of the unconscious to answer contemporary socio-political issues more sharply and relevantly. The method used is a literature study by collecting data from books, journals, and trusted academic sources that discuss the thoughts of Žižek, Hegel, Marx, and Lacan. The data was analysed qualitatively with a descriptive and interpretative approach to explore the meaning and interrelationship of philosophical concepts in Žižek's philosophical construction. The results show that Žižek reconstructs Hegel's dialectic as an ontological foundation that emphasises contingency and uncertainty, while criticising the teleology of classical Marxism. He develops the concept of active and passive dialectical subjects, and uses Lacan's psychoanalysis to analyse ideology and the structure of subjectivity in modern capitalism. This approach results in a radical and applicable contemporary dialectical materialism, providing a framework for critical analysis of 21st century socio-political realities.

One important aspect of waste management is the grouping and sorting of waste based on its type. However, waste sorting carried out by the public is often inaccurate or inconsistent. This can be caused by a lack of knowledge about waste types, confusion in identifying the correct type, or difficulty in memorizing complex sorting guidelines. Therefore, a system is needed that can detect waste types quickly and accurately without involving a large amount of human labor. One technological solution that can be used is machine learning. The method used in this study is the Random Forest algorithm. The data used consists of waste grouped based on characteristics such as texture and shape. This data is processed through feature extraction and preprocessing before being applied to the Random Forest model. The model's accuracy is tested using cross-validation techniques to assess classification performance. The experimental results show that the Random Forest algorithm can achieve a high level of accuracy in detecting waste types. The accuracy obtained reaches 94%, with consistent results in each cross-validation fold. This model proves to be effective in classifying different types of waste using the available features. The implementation of the Random Forest algorithm in waste type detection demonstrates great potential in improving technology-based waste management systems. With high accuracy, this model can be applied to various waste classification systems in society, helping to improve the efficiency of recycling processes and waste reduction.

Single-candidate regional elections have recently attracted significant attention, as previous regulations did not adequately address scenarios where fewer than two candidate pairs were running. The 2018 Makassar mayoral election, where the "Empty Box" (Kotak Kosong) emerged victorious against a single candidate, highlights a critical constitutional issue: whether such an outcome is consistent with the principles of democratic electoral integrity. In elections featuring only one candidate pair, the ballot contains two columns—one with the candidate's photo and name, and the other left blank. The constitutionality of allowing the "Empty Box" to win in such circumstances poses significant questions about the fairness of the electoral process and the safeguarding of citizens' constitutional rights. This research critically examines the legal implications of this electoral anomaly and explores the necessity for clear legislative frameworks governing single-candidate elections. The case offers important lessons for Indonesia’s political and electoral systems, emphasizing the need for constitutional and electoral reforms to protect citizens' rights—both the right to vote and the right to be elected—even when only one candidate is on the ballot. Furthermore, it underscores the urgency of political education for both political parties and the electorate to foster a more informed political culture. By analyzing the legal precedents, constitutional principles, and broader implications, this study contributes to the discourse on electoral reform, ensuring that Indonesia’s electoral system remains robust, fair, and reflective of democratic values.

Dalam dunia komputasi awan yang semakin berkembang, ancaman serangan Distributed Denial of Service (DDoS) menjadi isu yang sangat krusial. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan model prediksi serangan DDoS menggunakan algoritma Random Forest dan analisis perilaku jaringan. Dataset CICIDS2017 digunakan sebagai sumber data utama untuk melatih dan menguji model prediksi yang dikembangkan. Pemilihan algoritma Random Forest didasarkan pada kemampuannya yang tinggi dalam menangani data besar dan kompleks serta kemampuannya dalam mengenali pola anomali yang sering menjadi indikasi serangan siber. Hasil pengujian menunjukkan bahwa model ini mencapai akurasi yang signifikan dengan precision sebesar 97,8%, recall sebesar 98,2%, dan F1-score sebesar 98,0%. Analisis perilaku jaringan yang diterapkan, melibatkan fitur-fitur dinamis seperti waktu antar paket (Inter-Arrival Time/IAT), ukuran rata-rata segmen, dan jumlah paket per detik, yang terbukti efektif dalam meningkatkan kemampuan deteksi model. Implementasi model dalam lingkungan komputasi awan menunjukkan bahwa metode ini dapat diintegrasikan dengan sistem deteksi intrusi (Intrusion Detection Systems/IDS) yang sudah ada untuk memberikan lapisan perlindungan tambahan terhadap serangan DDoS. Berdasarkan hasil yang diperoleh, penelitian ini merekomendasikan penggunaan kombinasi algoritma Random Forest dan analisis perilaku jaringan sebagai solusi yang efektif untuk mendeteksi serangan DDoS dalam lingkungan komputasi awan. Penelitian lanjutan disarankan untuk mengembangkan dan menguji model dengan dataset yang lebih beragam serta mengoptimalkan algoritma untuk meningkatkan performa deteksi.
 
Kata kunci: Random Forest, DDoS, Cloud Computing

Early marriage is a significant social problem in Indonesia, including in Cilengkrang District, Bandung Regency. In an effort to address this problem, the Indonesian government issued Law Number 16 of 2019 which sets the minimum age of marriage to 19 years for both men and women. Community service in socializing this law in Cilengkrang Sub-district aims to increase community understanding and compliance with the regulation. The program involves various educational activities, such as counseling, group discussions, and training for community leaders and educators. The methods used include direct approaches through village meetings and indirect methods through social and print media. The results showed that the involvement of community leaders and religious leaders was very effective in conveying messages and reducing resistance to legal change. The main challenges faced were changing entrenched mindsets and problems accessing information in remote areas. Recommendations to improve the effectiveness of this program include increasing the involvement of community leaders, optimizing the use of media, continuous training, inter-agency cooperation, periodic evaluation, and a culturally sensitive approach. With the implementation of these recommendations, it is expected that the socialization of the marriage age limit law in Cilengkrang Sub-district can be more effective, reduce the number of early marriages, and create an environment that supports the optimal development of children and improves the overall welfare of the community.

This research aims to analyze the performance of various CPU scheduling algorithms in increasing the responsiveness of the Android operating system. Using algorithms such as First Come First Served (FCFS), Shortest Job First (SJF), Shortest Remaining Time First (SRTF), and Round Robin, this study evaluates the advantages and disadvantages of each in terms of average waiting time, throughput, and power consumption. Research methods include literature study, algorithm selection and implementation, as well as data testing and analysis. The research results show that choosing the right scheduling algorithm can increase system efficiency and responsiveness, as well as provide recommendations for Android operating system developers and the application developer community. It is hoped that these findings will help in determining the optimal solution for improving the performance of the Android operating system.

Economic growth is essentially the most important aspect in a country. An increase in the quality of life of the community that occurs in an area can mean that the area has continued economic growth. Economic growth can be reflected in changes in GRDP in a region. This research uses eviews analysis 10. Labor Force Participation Rate (TPAK), human development index and poverty are among the Human Resource factors that contribute to the formation of Gross Regional Domestic Product (GRDP) which can encourage Economic growth of a region. The aim of this research is to find out the influence of the level of labor force participation and poverty as seen from the human development index on economic growth in the province of West Papua in 2014-2022. The data used in this research uses time series data for the period 2014-2022, using quantitative descriptive methods with the eviews 10 analysis tool. Independent variables consist of Labor Force Participation Rate (TPAK) as X1, human development index (HDI) as X2 and poverty (k) as X3 and Economic Growth as (Y). The results of this study show that TPAK, HDI and K simultaneously have a positive and insignificant effect.