Universitas Putera Batam (UPB): Open Journal Systems
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    PENERAPAN METODE DECISION TREE DALAM PENENTUAN JURUSAN SISWA

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    Choosing a major for vocational students is an important step in determining their future career. Inappropriate decisions in choosing a major can have a negative impact on the learning process and career prospects of students. This research aims to apply the Decision Tree C4.5 algorithm in determining student majors based on historical data from SMK Plus Qurrota A'yun. The main attributes used in this model include gender, practical score, report card score, and rank. The data analysis process is carried out using KDD (Knowledge Discovery in Databases) stages which include preprocessing (normalization and labeling), data transformation with SMOTE to balance the data, and dataset division (80% for training and 20% for testing). The results of the C4.5 Decision Tree model show an accuracy rate of 86.59%, with report card and practical grades as the most significant attributes in determining student majors. Evaluation of the model showed variation in performance between majors, with high precision in TSM (92.22%) and weak recall in TKJ (73.91%). Overall, the algorithm proved to be effective for providing major recommendations based on historical data, although optimization is needed for majors with lower precision and recall values.Choosing a major for vocational students is an important step in determining their future career. Inappropriate decisions in choosing a major can have a negative impact on the learning process and career prospects of students. This research aims to apply the Decision Tree C4.5 algorithm in determining student majors based on historical data from SMK Plus Qurrota A'yun. The main attributes used in this model include gender, practical score, report card score, and rank. The data analysis process is carried out using KDD (Knowledge Discovery in Databases) stages which include preprocessing (normalization and labeling), data transformation with SMOTE to balance the data, and dataset division (80% for training and 20% for testing). The results of the C4.5 Decision Tree model show an accuracy rate of 86.59%, with report card and practical grades as the most significant attributes in determining student majors. Evaluation of the model showed variation in performance between majors, with high precision in TSM (92.22%) and weak recall in TKJ (73.91%). Overall, the algorithm proved to be effective for providing major recommendations based on historical data, although optimization is needed for majors with lower precision and recall values

    PERANCANGAN SISTEM INFORMASI RESEPSIONIS PADA DINAS PERPUSTAKAAN DAN KEARSIPAN KOTA PALEMBANG

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    This research aims to design a receptionist information system at the Palembang City Library and Archives Office to facilitate visitor registration and data management. The system is designed to enhance operational efficiency and improve service quality for visitors. Using the Prototype development model, the system goes through the stages of requirement analysis, design, implementation, and testing. The research results show that the developed system improves visitor management with features such as digital registration, data recapitulation, and data export to Excel format. Additionally, the system supports library operations by accelerating data retrieval and generating more structured reports. The implementation of this system is expected to accelerate digital transformation in library administration and enhance service quality for the public.This research aims to design a receptionist information system at the Palembang City Library and Archives Office to facilitate visitor registration and data management. The system is designed to enhance operational efficiency and improve service quality for visitors. Using the Prototype development model, the system goes through the stages of requirement analysis, design, implementation, and testing. The research results show that the developed system improves visitor management with features such as digital registration, data recapitulation, and data export to Excel format. Additionally, the system supports library operations by accelerating data retrieval and generating more structured reports. The implementation of this system is expected to accelerate digital transformation in library administration and enhance service quality for the public

    PENERAPAN ALGORITMA APRIORI DALAM MENENTUKAN TREND PENJUALAN MOBIL PADA RODA MAS SUZUKI

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    This study aims to understand the process of data analysis using the Apriori Algorithm to determine sales levels, identify trends in car sales to boost sales, and develop sales strategies. It focuses on identifying trends and sales patterns of cars at Roda Mas Suzuki, applying the Apriori algorithm to uncover associations between sold car types, and providing data-driven recommendations to management for more effective sales strategies.The research employs a quantitative method using the Apriori algorithm. The findings reveal that data mining association rules can be utilized to manage and leverage data to enhance sales strategies. Based on the 2024 Roda Mas Suzuki sales data, the combinations with the highest support and confidence values are NEW CARRY PICK UP - NEW XL 7 (24.11%-50.94%) and ALL NEW ERTIGA - NEW CARRY PICK UP (23.21%-50%).This analysis can assist in managing stock for marketing purposes, preventing the accumulation of less demanded products, which could lead to future losses. The Apriori algorithm in this study proves effective in identifying frequently purchased product combinations by consumers, providing valuable insights to Roda Mas Suzuki for optimizing their marketing strategies.This study aims to understand the process of data analysis using the Apriori Algorithm to determine sales levels, identify trends in car sales to boost sales, and develop sales strategies. It focuses on identifying trends and sales patterns of cars at Roda Mas Suzuki, applying the Apriori algorithm to uncover associations between sold car types, and providing data-driven recommendations to management for more effective sales strategies.The research employs a quantitative method using the Apriori algorithm. The findings reveal that data mining association rules can be utilized to manage and leverage data to enhance sales strategies. Based on the 2024 Roda Mas Suzuki sales data, the combinations with the highest support and confidence values are NEW CARRY PICK UP - NEW XL 7 (24.11%-50.94%) and ALL NEW ERTIGA - NEW CARRY PICK UP (23.21%-50%).This analysis can assist in managing stock for marketing purposes, preventing the accumulation of less demanded products, which could lead to future losses. The Apriori algorithm in this study proves effective in identifying frequently purchased product combinations by consumers, providing valuable insights to Roda Mas Suzuki for optimizing their marketing strategies. &nbsp

    KEBIJAKAN HUKUM PIDANA TERKAIT SANKSI PIDANA BAGI PELAKU KEJAHATAN SIBER DI INDONESIA

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    A new challenge for law enforcement in the digital era, including in Indonesia, is cybercrime. This abstract discusses the criminal policy implemented to address cybercrime, with a particular emphasis on regulations, enforcement, and the issues faced. In recent years, Indonesia has adopted the ITE Law (Information and Electronic Transactions Law) to regulate behavior in cyberspace. However, the implementation of this policy often encounters obstacles such as a lack of trained human resources, insufficient public awareness of cyber laws, and technical issues in investigating cybercrime cases. The introduction, main section, and conclusion of the literature reviewed in this research are discussed. The data sources for this section come from relevant books, scholarly articles, or journals.Make recommendations on how to strengthen the legal framework, enhance inter-agency cooperation, and educate the public on creating a safer digital environment. With these efforts, it is hoped that criminal policies in Indonesia can be more effective in preventing and addressing cybercrime.  Tantangan baru bagi penegakan hukum di era digital, termasuk di Indonesia, adalah kejahatan siber. Abstrak ini membahas kebijakan kriminal yang diterapkan untuk mengatasi kejahatan siber, dengan penekanan khusus pada peraturan, penegakan hukum, dan masalah yang dihadapi. Dalam beberapa tahun terakhir, Indonesia telah mengadopsi UU ITE (Undang-Undang Informasi dan Transaksi Elektronik) untuk mengatur perilaku di dunia maya. Namun, implementasi kebijakan ini sering kali menemui kendala seperti kurangnya sumber daya manusia yang terlatih, kurangnya kesadaran masyarakat akan hukum siber, dan masalah teknis dalam menyelidiki kasus-kasus kejahatan siber. Bagian pendahuluan, bagian utama, dan kesimpulan dari literatur yang ditinjau dalam penelitian ini dibahas. Sumber data untuk bagian ini berasal dari buku, artikel ilmiah, atau jurnal yang relevan. Membuat rekomendasi tentang bagaimana memperkuat kerangka hukum, meningkatkan kerja sama antar lembaga, dan mengedukasi masyarakat untuk menciptakan lingkungan digital yang lebih aman. Dengan upaya-upaya tersebut, diharapkan kebijakan kriminal di Indonesia dapat lebih efektif dalam mencegah dan menangani kejahatan siber.   &nbsp

    EXPLORING SPEECH ACTS IN THE MAIN CHARACTERS OF AIR 2023 MOVIE: TYPES AND FUNCTIONS

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    The study aims at describing the types of speech acts in the movie Air (2023) based on Yule's theory of speech acts, and describing their function based on Leech's theory. Using qualitative research methods, the research observes the phenomenon of speech act usage in the movie. The data sources in this study are dialogs from the movie and the script of the movie Air 2023, which were collected through documentation and content analysis. Data analysis is conducted through three stages: data reduction, data presentation, and verification/conclusion, with triangulation of theory and method to ensure validity and reliability. The writers found 50 speech act consisting of direct speech act (22) and indirect speech act (28). The study identifies four main functions of speech acts such as competitive (8), convivial (15), collaborative (22), and conflictive (5). Collaborative function as the most dominant ones relates with the movie's main theme of cooperation and common goals, which makes speech acts a strategic tool in building relationships and achieving mutual success.Penelitian ini bertujuan untuk mendeskripsikan jenis-jenis tindak tutur dalam film Air (2023) berdasarkan teori tindak tutur Yule, dan fungsinya berdasarkan teori Leech. Dengan menggunakan metode penelitian kualitatif, penelitian ini mengamati fenomena penggunaan tindak tutur dalam film. Sumber data dalam penelitian ini adalah dialog dari film dan naskah film Air 2023, yang dikumpulkan melalui dokumentasi dan analisis isi. Analisis data dilakukan melalui tiga tahap: reduksi data, penyajian data, dan verifikasi/kesimpulan, dengan triangulasi teori dan metode untuk memastikan validitas dan reliabilitas. Penulis menemukan 50 tindak tutur yang terdiri dari tindak tutur langsung (22) dan tindak tutur tidak langsung (28). Dominasi tindak tutur tidak langsung ini disebabkan oleh kebutuhan akan komunikasi yang jelas dan langsung, sesuai dengan dinamika narasi dan karakter dalam film. Di antara tindak tutur langsung, bentuk interogatif adalah yang paling sering digunakan, yang mencerminkan dialog interaktif dan berorientasi pada pencarian informasi. Tindak tutur tidak langsung juga memainkan peran yang signifikan, dengan bentuk interogatif yang paling dominan. Hal ini menunjukkan pendekatan komunikasi yang lebih halus dan bernuansa untuk menjaga keharmonisan dalam hubungan interpersonal dan mendorong kerja sama. Penelitian ini mengidentifikasi empat fungsi utama dari tindak tutur yaitu kompetitif (8), ramah (15), kolaboratif (22), dan konfliktif (5). Fungsi kolaboratif sebagai fungsi yang paling dominan berkaitan dengan tema utama film yaitu kerja sama dan tujuan bersama, yang menjadikan tindak tutur sebagai alat strategis dalam membangun hubungan dan mencapai kesuksesan bersam

    DAMPAK DESENTRALISASI FISKAL TERHADAP KESEJAHTERAAN EKONOMI DAN KEADILAN SOSIAL DI PROVINSI KEPULAUAN RIAU

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    This study aims to analyze the impact of fiscal decentralization on economic welfare and social justice in the Riau Islands Province. Fiscal decentralization, which includes economic growth, distribution of General Allocation Funds and Special Allocation Funds , is expected to increase regional autonomy in budget management so that it can accelerate local economic development and improve the quality of life of the community. In the context of the Riau Islands Province, which consists of remote islands with significant geographical challenges, the implementation of fiscal decentralization occurs in the problem of inter-regional inequality, limited access, and high distribution costs of funds. This study uses a qualitative analysis method to measure the fiscal impact on economic growth, equitable development, and increasing the Human Development Index  in several districts/cities in the Riau Islands. The results of the study show that fiscal decentralization contributes to improving economic welfare in developed areas such as Batam and Tanjungpinang. However, inequality in welfare and access to basic services still occurs in remote areas such as Lingga and the Anambas Islands. The limited capacity of local governments in budget planning and supervision also hinders the optimal use of General Allocation Funds and Special Allocation Funds throughout the region. Overall, fiscal decentralization has a positive impact on economic growth and public welfare in the Riau Islands Province, but there are still challenges in realizing equitable social justice. Therefore, a more adaptive and collaborative strategy is needed between the central and regional governments to overcome geographical barriers, increase administrative capacity, and ensure equitable distribution of benefits from fiscal policies throughout the Riau Islands

    PENGARUH PENGUNGKAPAN CORPORATE SOCIAL RESPONSIBILITY, STRUKTUR MODAL, DAN KINERJA KEUANGAN TERHADAP NILAI PERUSAHAAN DENGAN KEPEMILIHAN MANAJERIAL SEBAGAI VARIABEL MODERASI

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    Penelitian ini bertujuan untuk menguji dan menganalisis Peran Kepemilikan Manajerial dalam Moderasi Hubungan Pengungkapan Corporate Social Responsibility, Struktur Modal, dan Kinerja Keuangan Terhadap Nilai perusahaan pada perusahaan consumer non-cyclicals atau barang konsumen primer yang terdaftar di Bursa Efek Indonesia untuk periode 2019 sampai 2023. Jenis penelitian ini adalah penelitian kuantitatif asosiatif. Populasi penelitian ini adalah perusahaan consumer non-cyclicals yang terdaftar di Bursa Efek Indonesia pada periode 2019 sampai 2023. Teknik pengambilan sampel pada penelitian ini adalah teknik purposive sampling dengan hasil dari 125 populasi penelitian menjadi 18 sampel penelitian yang diolah dalam penelitian ini. Data yang digunakan adalah data panel yang diperoleh dari data sekunder yang dikumpulkan dengan metode keperpustakaan dan dokumentasi. Metode analisis data terdiri dari analisis statistic deskriptif, regresi data panel, dan Moderated Regression Analysis (MRA) dengan menggunakan Microsoft Excel dan EViews 12. Hasil penelitian menunjukan bahwa, pengungkapan corporate social responsibility tidak berpengaruh terhadap nilai perusahaan, tetapi struktur modal dan kinerja keuangan dengan proksi Return on Asset (ROA) berpengaruh negatif terhadap nilai perusahaan, dan kinerja keuangan dengan proksi Return on Equity (ROE) berpengaruh positif terhadap nilai perusahaan. Sedangkan Kepemilikan manajerial tidak mampu memoderasi hubungan pengungkapan corporate social responsibility, struktur modal, dan kinerja keuangan terhadap nilai perusahaan

    STRATEGIC MANAGEMENT ACCOUNTING PRACTICES: A LITERATURE REVIEW

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    Accounting techniques for strategic management incorporate both non-financial and financial data into an organization's strategic decision-making process. Through an examination of the literature, the study seeks to ascertain the practice of strategic management accounting. The balanced scorecard, value chain analysis, and competitive benchmarking are just a few of the frequently utilized strategic management accounting tools and methodologies that are identified in this study. Google Scholar, a significant source of Indonesian scientific publications over the previous ten years, was used in the study's literature analysis to ascertain the use of strategic management accounting. This literature review provides a thorough picture of the development of research on the relationship between strategic management accounting, service quality, knowledge management, and performance by methodically arranging findings, methodology, and concepts chronologically. Optimizing strategic decision-making, resource management, and service quality all depend on the successful integration of strategic management accounting. It is anticipated that the organization will benefit greatly from the synergy between these components. By providing a more thorough understanding of the genesis, advantages, and difficulties of strategic management accounting techniques, this study advances management accounting theory and practice. Empirical investigation of the efficacy of strategic management accounting techniques in various industry and national contexts is one of the recommendations for additional research

    ANALISIS PENERAPAN 5S PROSES PRODUKSI PADA UKM KERUPUK LATANSA

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    UKM Kerupuk Latansa in Batam faces various challenges in its production process, including disorganized tool and material placement, a suboptimal working environment, and inefficient production time. These issues potentially lower productivity and product quality. This study applies the 5S method (Seiri, Seiton, Seiso, Seiketsu, and Shitsuke) to improve production efficiency and workplace organization. A quantitative approach was used, collecting data through direct observations, interviews, and work time measurements. The results show that after implementing 5S, the average cycle time decreased from 15.37 seconds to 13.82 seconds, and production output increased from 2,250 to 2,500 packs per month. In the Seiri stage, unnecessary items were removed from the workspace to create a cleaner and more comfortable working environment. Seiton was implemented by organizing production tools, such as impulse sealers, for easier access. Seiso involved routine cleaning of the workspace and equipment to prevent packaging defects. Seiketsu ensured standardized procedures for workplace cleanliness and organization. Finally, Shitsuke established a culture of discipline in maintaining cleanliness and order, with regular evaluations to sustain the 5S implementation. With a cleaner and more organized environment, employee comfort and productivity significantly improved

    RANCANG BANGUN SISTEM INFORMASI KREDIT MOTOR BERBASIS WEB

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    CV Mega Cakra Motor currently uses a manual motorbike credit recording system which has several obstacles such as recording efficiency, data security and effectiveness in the credit management process. This research aims to design and build a web-based information system that can increase efficiency, accuracy and security in motorbike credit management. The method used in this research is Waterfall, which consists of analysis, design, implementation and system testing stages. The results of this research show that a web-based information system can reduce recording errors, improve document monitoring, and provide easy access to motorbike credit data. With the system that has been designed, CV Mega Cakra Motor can optimize its operations and improve service to customers

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