Abstract:Abstract: The demand for cars in Indonesia is influenced by various factors, including economic and demographic variables. This study aims to analyze the impact of these variables on car demand using the Random Forest method.…
thod. This method is chosen for its ability to handle large and complex data, as well as to provide clear interpretations of the contributing variables in the model. The data used in this study includes economic information such as per capita income, inflation rates, and interest rates, as well as demographic data such as age, population size, and urbanization rates. The analysis results indicate that economic variables have a significant impact on car demand, while demographic factors also contribute, albeit in a smaller proportion. This research is expected to provide insights for policymakers and automotive industry players in formulating more effective marketing and production strategies.
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Keyword: Random Forest, car, demand, economics and demographics.
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Abstrak: Permintaan mobil di Indonesia dipengaruhi oleh berbagai faktor, termasuk variabel ekonomi dan demografi. Penelitian ini bertujuan untuk menganalisis pengaruh variabel-variabel tersebut terhadap permintaan mobil dengan menggunakan metode Random Forest. Metode ini dipilih karena kemampuannya dalam menangani data besar dan kompleks, serta memberikan interpretasi yang jelas terhadap variabel yang berkontribusi dalam model. Data yang digunakan dalam penelitian ini mencakup informasi ekonomi seperti pendapatan per kapita, tingkat inflasi, dan suku bunga, serta data demografi seperti usia, jumlah penduduk, dan tingkat urbanisasi. Hasil analisis menunjukkan bahwa variabel ekonomi memiliki pengaruh signifikan terhadap permintaan mobil, sementara faktor demografi juga berkontribusi meskipun dalam proporsi yang lebih kecil. Penelitian ini diharapkan dapat memberikan wawasan bagi pemangku kebijakan dan pelaku industri otomotif dalam merumuskan strategi pemasaran dan produksi yang lebih efektif.
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Kata kunci: Random Forest, permintaan mobil, ekonomi dan demografi.
Abstract:The modern era is marked by rapid technological advancements, characterized by the ease and speed with which information can be accessed. This condition requires students to possess intellectual intelligence in both academic…
emic and non-academic fields while maintaining positive character as a foundation for their attitudes and actions in daily life. The purpose of this study is to explore efforts to build students’ character through character education in facing the challenges of the modern era. This research employs a qualitative approach using a literature study method to analyze and collect various data from books, articles, and relevant reports. Character can be built and developed through character education in both academic and non-academic settings to foster positive traits such as self-concept, discipline, responsibility, independence, courage, and others. This study is expected to provide insights that building students’ positive character can be achieved through character education implemented in higher education institutions. Keyword: character education, positive character
Abstract:Abstract: Air cargo plays a vital role in supporting the fast, efficient, and high-value distribution of goods, especially with the rise of e-commerce, export-import activities, and the growth of Indonesia’s logistics industry.…
industry. Fatmawati Soekarno Airport in Bengkulu holds significant potential in this sector; however, the market share controlled by Injournay Aviation Services (IAS) remains relatively low despite offering competitive rates. This study aims to analyze the factors behind the low market penetration of IAS, formulate business strategies to enhance its competitiveness, and evaluate effective marketing approaches to attract more potential customers. A qualitative descriptive method with a case study approach was used, involving interviews with service users and airport management, direct observations at the cargo terminal, and supporting documentation. The findings reveal that limited promotion, suboptimal digitalization, and lack of strategic partnerships are key challenges. Recommended strategies include strengthening Business to Customer (B2C) and Business to Business (B2B) approaches, as well as establishing a dedicated business development (sales and marketing) division. This research offers practical insights for airport operators and cargo companies. Future studies are encouraged to explore logistics system digitalization and the impact of multi-stakeholder collaboration on efficiency and air cargo business growth.
Keyword: Aviation; Cargo; Business Strategy.
Abstrak: Kargo udara memiliki peran penting dalam mendukung distribusi barang secara cepat dan bernilai tinggi, terutama dengan meningkatnya e-commerce, ekspor-impor, dan perkembangan industri logistik di Indonesia. Bandara Fatmawati Soekarno Bengkulu menyimpan potensi besar di sektor ini, namun penguasaan pasar oleh Injournay Aviation Services (IAS) masih rendah meskipun tarifnya kompetitif. Penelitian ini bertujuan menganalisis penyebab rendahnya pangsa pasar IAS, merumuskan strategi peningkatan daya saing, serta mengevaluasi pendekatan pemasaran yang efektif. Metode yang digunakan adalah deskriptif kualitatif dengan pendekatan studi kasus, melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa minimnya promosi, belum optimalnya digitalisasi, serta keterbatasan kerja sama dengan mitra eksternal menjadi kendala utama. Strategi yang direkomendasikan mencakup penguatan pendekatan Business to Customer (B2C), pengembangan Business to Business (B2B), dan pembentukan divisi pengembangan bisnis dalam struktur organisasi. Temuan ini diharapkan menjadi masukan strategis bagi pengelola bandara dan perusahaan kargo. Penelitian lanjutan disarankan untuk menggali potensi digitalisasi sistem logistik dan peran kolaborasi multipihak dalam mendukung efisiensi serta pertumbuhan sektor kargo udara secara berkelanjutan.
Kata kunci: Penerbangan; Kargo; Strategi Bisnis.
Abstract:Abstract: In the era of accelerated digital transformation, organizations must adopt technology-driven solutions to manage human resources effectively. This study aims to examine the integration of Human Resource Information…
tion Systems (HRIS) with digital technologies such as HR Analytics and Artificial Intelligence (AI) in developing sustainable and adaptive human resource strategies. Using a qualitative descriptive approach supported by recent empirical studies, this research analyzes how data-driven insights and automation improve decision-making, operational efficiency, and workforce adaptability. The findings reveal that integrating HRIS with digital tools enhances organizational agility by optimizing talent management processes, promoting sustainability, and aligning human capital initiatives with strategic goals. The study concludes that digital integration in HR functions not only improves performance and efficiency but also strengthens long-term organizational resilience in a dynamic business environment..
Keyword: HRIS; HR Analytics; Artificial Intelligence; Sustainability; Organizational Agility
Abstrak: Di era transformasi digital yang semakin cepat, organisasi harus mengadopsi solusi berbasis teknologi untuk mengelola sumber daya manusia secara efektif. Studi ini bertujuan untuk mengkaji integrasi Sistem Informasi Sumber Daya Manusia (SDM) dengan teknologi digital seperti Analisis SDM dan Kecerdasan Buatan (AI) dalam mengembangkan strategi sumber daya manusia yang berkelanjutan dan adaptif. Menggunakan pendekatan deskriptif kualitatif yang didukung oleh studi empiris terkini, penelitian ini menganalisis bagaimana wawasan berbasis data dan otomatisasi meningkatkan pengambilan keputusan, efisiensi operasional, dan adaptabilitas tenaga kerja. Temuan penelitian mengungkapkan bahwa integrasi SDM dengan perangkat digital meningkatkan kelincahan organisasi dengan mengoptimalkan proses manajemen talenta, mendorong keberlanjutan, dan menyelaraskan inisiatif sumber daya manusia dengan tujuan strategis. Studi ini menyimpulkan bahwa integrasi digital dalam fungsi SDM tidak hanya meningkatkan kinerja dan efisiensi, tetapi juga memperkuat ketahanan organisasi jangka panjang dalam lingkungan bisnis yang dinamis. Kata Kunci: SDM; Analisis SDM; Kecerdasan Buatan; Keberlanjutan; Kelincahan Organisasi
Abstract:Abstract: This study aims to analyze the relationship between work discipline and employee performance on customer satisfaction at Senorita Coffee Medan. Good work discipline is considered one of the key factors influencing…
ing employee performance, which in turn can have a direct impact on the quality of service delivered to customers. This research employs a quantitative approach with a survey method, in which data were collected through questionnaires distributed to both employees and customers. The findings indicate that a high level of work discipline contributes positively to the improvement of employee performance. Optimal employee performance has been proven to significantly enhance customer satisfaction. These results are expected to provide valuable insights for the management of Senorita Coffee in formulating strategies to improve service quality through the enhancement of work discipline and employee performance.
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Keyword: work discipline, employee performance, customer satisfaction, service quality, Senorita Coffee Medan.
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Abstrak: Penelitian ini bertujuan untuk menganalisis hubungan antara disiplin kerja dan kinerja karyawan terhadap kepuasan konsumen di Senorita Coffee Medan. Disiplin kerja yang baik dianggap sebagai salah satu faktor penting yang mempengaruhi kinerja karyawan, yang pada gilirannya dapat berdampak langsung pada kualitas pelayanan yang diberikan kepada konsumen. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data diperoleh melalui kuesioner yang disebarkan kepada karyawan dan konsumen. Hasil penelitian menunjukkan bahwa disiplin kerja yang tinggi berkontribusi positif terhadap peningkatan kinerja karyawan. Kinerja karyawan yang optimal terbukti meningkatkan tingkat kepuasan konsumen secara signifikan. Temuan ini diharapkan dapat memberikan wawasan bagi manajemen Senorita Coffee dalam merumuskan strategi peningkatan kualitas pelayanan melalui peningkatan disiplin kerja dan kinerja karyawan.
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Kata kunci: Disiplin kerja, kinerja karyawan, kepuasan konsumen, kualitas pelayanan, Senorita Coffee Medan.
Abstract:Abstract: Development of Artificial Intelligence (AI) technology has opened new opportunities in the field of multimedia, particularly in the process of creating visual works. AI enables automation and efficiency in producing…
ucing graphic designs, illustrations, and other visual elements. This study explores the utilization of AI in generating visual multimedia works by assessing quality, realism, and its effectiveness as a creative tool. An exploratory method was employed, evaluating generative AI platforms to understand the extent of their contribution to visual design processes. Experiments were conducted using three AI platforms Grok AI, Google Labs Image Fx, and Dreamina each applying distinct approaches to content generation. The results were analyzed based on visual detail, texture, lighting, accuracy, and comparisons with human-created works. Findings indicate that AI is capable of producing highly realistic visual outputs with greater speed compared to conventional methods. However, limitations remain in creativity, originality, and full control over the final results. These insights highlight AI’s potential as an assistive tool in the multimedia industry and underscore the importance of further development to balance efficiency with creative authenticity.
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Keywords: Artificial Intelligence (AI), Multimedia, Prompt-Based AI Generation,Visual, Exploration.
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Abstrak: Perkembangan teknologi Kecerdasan Buatan (AI) telah membuka peluang baru dalam bidang multimedia, khususnya dalam proses penciptaan karya visual. AI memungkinkan otomatisasi dan efisiensi dalam menghasilkan desain grafis, ilustrasi, dan elemen visual lainnya. Penelitian ini mengeksplorasi pemanfaatan AI dalam menghasilkan karya multimedia visual dengan menilai kualitas, realisme, dan efektivitasnya sebagai alat kreatif. Metode eksploratori digunakan dengan mengevaluasi platform AI generatif untuk memahami sejauh mana kontribusinya terhadap proses desain visual. Eksperimen dilakukan menggunakan tiga platform AI yaitu Grok AI, Google Labs Image Fx, dan Dreamina yang masing-masing menerapkan pendekatan berbeda dalam menghasilkan konten. Hasil dianalisis berdasarkan detail visual, tekstur, pencahayaan, akurasi, dan perbandingan dengan karya yang dibuat manusia. Temuan menunjukkan bahwa AI mampu menghasilkan output visual yang sangat realistis dengan kecepatan lebih tinggi dibandingkan metode konvensional. Namun, keterbatasan tetap ada dalam hal kreativitas, orisinalitas, dan kendali penuh terhadap hasil akhir. Temuan ini menyoroti potensi AI sebagai alat bantu dalam industri multimedia dan pentingnya pengembangan lebih lanjut untuk menyeimbangkan efisiensi dengan keaslian kreativitas.
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Kata kunci :Artificial Intelligence (AI), Multimedia, Prompt-Based AI Generation, Visual, Eksplorasi.
Abstract:Abstract: The internet has become an essential need in household life, supporting education, work, and entertainment. In Pematangsiantar City, the wide range of Internet Service Providers (ISPs) offering various prices and…
nd service qualities often makes it difficult for households to determine the most suitable option. Each ISP has its own advantages and disadvantages, such as access speed, connection stability, customer service quality, and subscription costs. An inappropriate choice may lead to user dissatisfaction. To address this problem, this study proposes the application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in a Decision Support System (DSS) to help households select the optimal ISP. TOPSIS is employed because it can evaluate alternatives based on their closeness to both positive and negative ideal solutions. This research involves several stages, including criteria identification, ISP data collection in Pematangsiantar, decision matrix normalization, relative closeness calculation, and ISP ranking determination. The findings indicate that the TOPSIS method can objectively recommend the best ISP based on a combination of service quality and price. This study is expected to assist households in making more accurate decisions and provide valuable insights for ISPs to improve their services according to user needs.
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Keywords: DSS, TOPSIS, ISP, Service Quality, Price
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Abstrak: Internet telah menjadi kebutuhan utama dalam kehidupan rumah tangga, baik untuk pendidikan, pekerjaan, maupun hiburan. Di Kota Pematangsiantar, banyaknya pilihan penyedia layanan internet (Internet Service Provider/ISP) dengan variasi harga dan kualitas layanan seringkali menyulitkan masyarakat dalam menentukan pilihan yang tepat. Setiap ISP memiliki kelebihan dan kekurangan masing-masing, seperti kecepatan akses, stabilitas koneksi, kualitas layanan pelanggan, serta biaya berlangganan. Pemilihan yang tidak tepat dapat berdampak pada ketidakpuasan pengguna. Untuk mengatasi permasalahan tersebut, penelitian ini mengusulkan penerapan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Sistem Pendukung Keputusan (SPK) guna membantu rumah tangga memilih ISP yang optimal. Metode TOPSIS digunakan karena mampu mengevaluasi alternatif berdasarkan kedekatannya dengan solusi ideal positif dan negatif. Penelitian ini dilakukan melalui tahapan identifikasi kriteria, pengumpulan data ISP di Kota Pematangsiantar, normalisasi matriks keputusan, perhitungan nilai kedekatan relatif, hingga penentuan peringkat ISP. Hasil penelitian menunjukkan bahwa metode TOPSIS dapat memberikan rekomendasi ISP terbaik secara objektif berdasarkan kombinasi kualitas layanan dan harga. Penelitian ini diharapkan dapat membantu masyarakat dalam mengambil keputusan yang lebih tepat serta memberikan masukan bagi penyedia layanan internet untuk meningkatkan kualitas layanan sesuai kebutuhan pengguna..
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Kata kunci: SPK, TOPSIS, ISP, Kualitas Layanan, Harga.
Abstract:Abstract: This study employs data science methodologies to analyze product reviews from the e-commerce sites Shopee and Tokopedia. The primary objective is to segment customers by grouping them according to their review…
patterns using clustering methods. The aim is to create customized retention strategies for each segment. The research applies K-Means clustering to group customers based on their product ratings, frequency of reviews, and sentiment analysis scores. The number of optimal clusters is determined through the Elbow Method, while the clustering performance is assessed using the Silhouette Score. Furthermore, Principal Component Analysis (PCA) is used to visualize the customer clusters in two dimensions. The findings reveal significant customer insights and provide a basis for developing tailored retention strategies to improve customer loyalty and satisfaction.
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Keywords: Data Science; Customer Segmentation; Clustering Techniques; K-Means Algorithm; Retention Strategies
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Abstrak: Penelitian ini menggunakan metodologi data science untuk menganalisis ulasan produk dari situs e-commerce Shopee dan Tokopedia. Tujuan utama dari penelitian ini adalah untuk mengelompokkan pelanggan berdasarkan pola ulasan mereka menggunakan metode clustering. Penelitian ini bertujuan untuk merancang strategi retensi yang disesuaikan dengan masing-masing segmen pelanggan. Dengan menggunakan algoritma K-Means, pelanggan dikelompokkan berdasarkan rating produk, frekuensi ulasan, dan skor sentimen. Jumlah klaster optimal ditentukan melalui Metode Elbow, sementara kinerja pengelompokan dinilai dengan menggunakan Silhouette Score. Selain itu, Principal Component Analysis (PCA) digunakan untuk memvisualisasikan segmen pelanggan dalam dua dimensi. Temuan dari penelitian ini memberikan wawasan penting tentang perilaku pelanggan dan menjadi dasar untuk mengembangkan strategi retensi yang lebih terarah guna meningkatkan loyalitas dan kepuasan pelanggan.
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Kata kunci: Data Science; Segmentasi Pelanggan; Teknik Clustering; Algoritma K-Means; Strategi Retensi
Abstract:Abstract: The Free Nutritious Meal Program (MBG) is a government initiative aimed at improving children’s nutrition and reducing stunting in Indonesia. This study applies a rule-based sentiment analysis approach to evaluate…
o evaluate public opinion on the program by analyzing YouTube comments. The dataset was processed through standard text preprocessing techniques, including case folding, stopword removal, and emoji filtering. Sentiment classification was performed using a keyword-based labeling system that categorized comments into positive, negative, and neutral classes. The classification results, visualized using a bar chart, revealed that neutral sentiment dominated the overall public discourse. This suggests that most users expressed uncertainty, factual observations, or non-judgmental questions about the program. Positive sentiment followed, reflecting public support and appreciation for the initiative’s goals. In contrast, negative sentiment accounted for the smallest portion, mainly expressing concerns about food safety and implementation. This study demonstrates that a simple and interpretable rule-based model, when combined with effective preprocessing, can serve as a practical and efficient tool for large-scale public sentiment monitoring. The visualization results provide initial insights for policymakers to improve communication strategies and address public concerns regarding the MBG program.
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Keywords: Sentiment Analysis; Public Opinion; Free Nutritious Meal Program (MBG); Stunting Reduction; Policy Evaluation.
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Abstrak: Program Makan Bergizi Gratis (MBG) merupakan inisiatif pemerintah untuk meningkatkan gizi anak dan menurunkan angka stunting di Indonesia. Penelitian ini bertujuan mengevaluasi opini publik terhadap program tersebut melalui analisis komentar di platform YouTube dengan pendekatan analisis sentimen berbasis aturan (rule-based). Data dianalisis melalui tahapan preprocessing teks, seperti case folding, penghapusan stopword, dan penyaringan emoji. Klasifikasi sentimen dilakukan menggunakan sistem pelabelan berbasis kata kunci yang membagi komentar ke dalam tiga kategori: positif, negatif, dan netral. Hasil klasifikasi yang divisualisasikan dalam grafik batang menunjukkan bahwa sentimen netral mendominasi komentar publik, mencerminkan ketidakpastian, pertanyaan, atau tanggapan informatif tanpa opini eksplisit. Sentimen positif berada di urutan kedua dan menunjukkan dukungan terhadap program, sementara sentimen negatif paling sedikit, umumnya berisi kekhawatiran terkait pelaksanaan dan keamanan pangan. Temuan ini menunjukkan bahwa pendekatan klasifikasi sederhana yang dipadukan dengan preprocessing yang efektif dapat menjadi alat yang efisien untuk memantau opini publik secara luas. Visualisasi hasil dapat menjadi dasar bagi pengambil kebijakan untuk menyusun strategi komunikasi yang lebih responsif terhadap persepsi masyarakat.
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Kata kunci: Analisis Sentimen; Opini Publik; Program Makanan Bergizi Gratis (MBG); Pengurangan Stunting; Evaluasi Kebijakan
Abstract:Abstract: This article discusses the distinctive characteristics of Japan's educational curriculum, recognized as one of the most successful education systems in the world. Japan implements a well-structured curriculum through…
hrough the 6-3-3 education model and the Gakushuu Shidou Youryou national standards, ensuring equitable quality nationwide. The core strength of Japan’s curriculum lies in its holistic Chi-Toku-Tai approach, which balances academic knowledge (Chi), moral character development (Toku), and physical health (Tai). Furthermore, the integrated curriculum approach and project-based learning methods foster student independence, creativity, and essential 21st-century skills. Teacher professionalism is continuously enhanced through collaborative and reflective Lesson Study practices. The success of this system is also supported by the active involvement of families and communities in character education. Despite its achievements, Japan’s education system faces challenges, particularly high academic pressure that may affect students' mental well-being. This study aims to provide valuable insights for other countries, including Indonesia, in designing holistic curriculum policies that balance academic excellence, character formation, and students’ psychological welfare.
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Keyword: Japanese curriculum, Chi-Toku-Tai, holistic approach, Lesson Study, character education.
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Abstrak: Artikel ini membahas karakteristik kurikulum pendidikan di Jepang yang diakui sebagai salah satu sistem pendidikan paling berhasil di dunia. Jepang mengembangkan kurikulum yang terstruktur melalui pola pendidikan 6-3-3 dan standar nasional Gakushuu Shidou Youryou yang memastikan pemerataan kualitas di seluruh wilayah. Inti keunggulan kurikulum Jepang terletak pada pendekatan holistik Chi-Toku-Tai yang menyeimbangkan aspek pengetahuan akademik (Chi), pembentukan karakter moral (Toku), dan pengembangan kesehatan fisik (Tai). Selain itu, penerapan pendekatan kurikulum terpadu dan metode pembelajaran berbasis proyek mendorong kemandirian, kreativitas, serta keterampilan abad ke-21 pada siswa. Profesionalisme guru terus ditingkatkan melalui praktik Lesson Study yang kolaboratif dan reflektif. Keberhasilan sistem ini juga didukung oleh keterlibatan aktif keluarga dan komunitas dalam pendidikan karakter. Meskipun demikian, tantangan berupa tekanan akademik yang tinggi tetap menjadi perhatian serius bagi kesejahteraan mental siswa. Pembahasan ini diharapkan dapat menjadi rujukan bagi negara lain, termasuk Indonesia, dalam merancang kebijakan kurikulum yang holistik dan berorientasi pada keseimbangan aspek akademik, karakter, dan kesejahteraan psikologis peserta didik.
Kata kunci: kurikulum Jepang, Chi-Toku-Tai, pendekatan holistik, Lesson Study, pendidikan karakter.