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Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak berbobot. Setiap algoritma diuji berdasarkan empat metrik evaluasi: modularity, coverage, conductance, dan inter-cluster density. Evaluasi terhadap tiga algoritma deteksi komunitas Infomap, Louvain, dan Walktrap pada jaringan undang-undang menunjukkan perbedaan karakteristik dalam membentuk struktur komunitas. Louvain unggul dalam hal modularity (0.522387) dan conductance (0.287157), yang mencerminkan kemampuan optimal dalam memisahkan komunitas besar yang kohesif dan minim koneksi keluar. Infomap menempati posisi menengah dengan modularity dan inter-cluster density yang cukup baik, menawarkan keseimbangan antara segmentasi dan kepadatan komunitas. Walktrap memiliki keunggulan pada coverage (0.809586) dan inter-cluster density (0.50640), menandakan kemampuannya membentuk komunitas kecil yang sangat padat secara internal, meskipun cenderung kurang terstruktur secara global karena modularity-nya paling rendah (0.464787). Dengan demikian, Louvain direkomendasikan sebagai algoritma paling sesuai untuk analisis jaringan undang-undang, terutama jika tujuan utama adalah memperoleh segmentasi komunitas yang terstruktur kuat dan representatif secara makro terhadap arsitektur hukum nasional.

Persaingan industri distribusi yang semakin ketat menuntut perusahaan untuk memiliki sistem manajemen persediaan yang efisien dan terintegrasi. PT. Nindy Glow Beauty Aesthetic, sebuah klinik kecantikan yang bergerak di bidang penjualan produk skincare di Sei Piring, saat ini masih menggunakan nota pembelian manual sebagai acuan informasi persediaan barang. Hal ini mengakibatkan data stok tidak akurat dan menghambat pengambilan keputusan. Penelitian ini bertujuan untuk mengembangkan sistem informasi persediaan barang berbasis metode Supply Chain Management (SCM) yang dapat membantu perusahaan dalam merencanakan kebutuhan stok berdasarkan data penjualan, permintaan, dan ketersediaan barang. Hasil dari pengembangan sistem ini diharapkan dapat meningkatkan efisiensi pengelolaan persediaan, mengurangi kerugian akibat kelebihan atau kekurangan stok, serta mendukung proses distribusi produk skincare secara optimal. Studi ini juga mengacu pada penelitian sebelumnya yang menunjukkan keberhasilan penerapan metode SCM di berbagai sektor industri

Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall, and a 65.3% F1-score. After applying class weighting and SMOTE, recall improved to 88.7%, but precision dropped to 52%, indicating that the model became overly sensitive and prone to false positives. Gradient Boosting initially produced better results, with 98% accuracy, 95.5% precision, 84.3% recall, and an 89.5% F1-score. After hyperparameter tuning and resampling, its performance improved further to 96.7% precision, 86.1% recall, and a 91.1% F1-score. These results indicate that Gradient Boosting is more effective in handling imbalanced data and offers greater reliability in detecting fraudulent transactions. The findings support the growing evidence in favor of ensemble learning techniques in fraud detection applications. This research contributes practical insights into improving the accuracy and security of machine learning-based fraud detection systems in financial services.

This study conducts a Systematic Literature Review (SLR) to explore the impact of users’ mental models on the implementation of Multi-Factor Authentication (MFA) as a strategy for mitigating password guessing risks in organizational environments. Amid the growing landscape of cyber threats, single-factor authentication has proven to be vulnerable, making MFA an essential layered security solution. However, the adoption of MFA remains slow. Existing studies indicate that expert users perceive MFA as a useful additional layer of verification, whereas non-expert users often view it as a burdensome task (a chore) and may even struggle to distinguish between different types of MFA. Dependence on mobile devices emerges as a common source of frustration for both groups. These findings emphasize that understanding users’ mental models is crucial for improving the implementation and usability of MFA. Innovations such as adaptive MFA or Single Input Multi-Factor Authentication (SIMFA) show potential as solutions to balance security requirements and user experience.

The growing interest in learning the Japanese language in Indonesia, driven by popular culture such as anime, creates a need to understand the effectiveness of different learning media. The non-uniform effectiveness of media for each individual poses a major challenge. Therefore, this study aims to analyze the effectiveness of both anime and textbooks by segmenting learner profiles and identifying key determinants of success using an artificial intelligence approach. This research employed a quantitative method through a questionnaire survey of 120 respondents. The data were analyzed in two stages: the K-Means Clustering algorithm was used to group respondents into learner profiles, and the Decision Tree algorithm was used to identify the most significant factors that differentiate these profiles. The analysis successfully identified three distinct learner profiles: "Intensive & Adaptive Learner," "Flexible Learner," and "Passive Learner." The decision tree revealed that the perception of textbook effectiveness and the frequency of anime use are the strongest predictors in determining a learner's profile, more so than theoretical learning style preferences. It is concluded that media effectiveness is highly dependent on the learner's behavioral and perceptual profile, which underscores the importance of a personalized approach in language education technology.

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

Penelitian ini bertujuan untuk mengimplementasikan sistem Supply Chain Management (SCM) dalam pengelolaan persediaan sembako di Toko Grosir Rohman guna meningkatkan efisiensi operasional dan mengatasi permasalahan kehabisan atau kelebihan stok. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus, melalui observasi, wawancara, dan dokumentasi. Sistem SCM yang dirancang berbasis website menggunakan PHP dan MySQL, dengan pemodelan UML untuk menganalisis kebutuhan dan perancangan sistem. Hasil dari implementasi sistem menunjukkan peningkatan akurasi data stok, efisiensi dalam proses pemesanan, serta tersedianya informasi real-time yang membantu pengambilan keputusan. Dengan sistem ini, Toko Grosir Rohman mampu mengelola persediaan sembako secara lebih optimal, meningkatkan kepuasan pelanggan, dan memperkuat daya saing usaha.

Acne vulgaris (AV) is a common dermatological condition affecting adolescents and young adults, with multifactorial causes including hormonal influences, increased follicular keratinization, excessive sebum production, and colonization by Cutibacterium acnes. External factors, particularly skincare behavior, are also considered to play an important role. The use of skincare products that are unsuitable for skin type or contain comedogenic ingredients such as mineral oil, lanolin, and certain silicones may clog pores and exacerbate acne. This study aimed to analyze the relationship between skincare product selection and usage behavior, types of skincare products used, and frequency of use with the occurrence of acne vulgaris among female medical students of the Faculty of Medicine, Universitas Sumatera Utara, cohorts 2022–2024. An analytical observational study with a cross-sectional design was conducted. Primary data were collected through an online questionnaire, while secondary data were obtained from the student directory. A total of 90 respondents were selected using stratified random sampling. Data analysis was performed using the Chi-square test. The results showed a significant association between skincare product selection and usage behavior and the occurrence of acne vulgaris (p = 0.043), as well as between the type of skincare products used and acne incidence (p < 0.001). However, no significant relationship was found between the frequency of skincare product use and acne vulgaris (p = 0.116). These findings indicate that appropriate product selection and type are more influential in acne development than usage frequency.

Musculoskeletal Disorders (MSDs) complaints in muscles, joints, and soft tissues can be caused by poor posture, repetitive movements, and excessive physical load. In the wet cake-making industry, workers often sit or stand for long periods, bend, and perform monotonous hand movements, which increases the risk of MSDs. The impact includes decreased work comfort, productivity, and quality of life. This study aims to assess the ergonomic risk level in wet cake-making workers and identify the relationship between work activities and MSD complaints. The method used is descriptive quantitative research with a cross-sectional design, involving 45 workers at Kue X Silaberanti. Ergonomic risk was assessed using the REBA method, while MSD complaints were measured using the Nordic Body Map questionnaire. The results show that in the mixing process, 58.8% of workers experienced a very high risk of MSDs. In the molding and baking processes, 52.9% and 68.8% of workers, respectively, were at high risk. The most frequent complaints were pain in the back, neck, shoulders, arms, and wrists due to poor posture and repetitive movements. To reduce the risk of MSDs, workers need to improve their posture, use ergonomic aids, rotate tasks, and undergo training in safe working techniques.

Radiographic examination plays a crucial role in visualizing internal body structures for diagnostic purposes. One of the radiographic assessments frequently performed is the Acromioclavicular (AC) joint projection, which is used to evaluate abnormalities such as joint widening, subluxation, and dislocation. This study aimed to compare the image quality of the AC joint using the Anteroposterior (AP) projection with a 3-kg load and without load. The study was conducted in the Radiology Laboratory of STIKES Borneo Nusantara using a conventional X-ray system with a quantitative descriptive case-study approach. Data were collected through observation and questionnaires administered to 10 research subjects, including radiographers and patient participants. The findings demonstrated that the AP projection with a 3-kg load produced clearer visualization of the AC joint, particularly in widening of the joint space and separation between the humeral head and glenoid cavity. The average image quality score using load was 3.5 (good), compared with 2.9 (poor) for the projection without load. The study concludes that applying a 3-kg load improves anatomical visualization of the AC joint and is recommended for cooperative patients to enhance diagnostic accuracy.

This community service was carried out at SMAS PGRI 1 Mojokerto City with the main goal of improving student discipline through the application of Japanese-style discipline culture. This activity is designed in a structured manner to have a real and sustainable impact on student behavior and the integrity of educational institutions. The method used is a participatory and applicative approach, so that students not only passively receive information, but also actively engage in the process of learning, reflection, and discipline practice. This approach emphasizes the direct involvement of students in activities that foster awareness, responsibility, and positive habits that support the creation of a conducive learning environment. The results of the implementation of activities are divided into three main categories. First, the short-term results seen immediately after the activity are increased students' motivation and understanding of the importance of discipline. Second, the medium-term results that appear within 1-3 months are in the form of real behavioral changes, such as punctuality, neatness, and compliance with school rules. Third, long-term results that contribute to strengthening the integrity of the institution as a school with a high discipline image. Thus, this community service is expected to be able to become a model for implementing a discipline culture that is effective, sustainable, and relevant to the needs of education in Indonesia.

This community engagement program aims to strengthen the halal value chain of micro, small, and medium enterprises (MSMEs) in Hagu Selatan Village, Banda Sakti District, Lhokseumawe City through knowledge transfer based on the Indonesian halal value chain model. MSMEs play a vital role in regional economic development, yet many still face challenges in understanding halal–thayyiban principles, fulfilling certification requirements, managing production processes, and accessing Islamic financing. Limited adoption of digitalization also reduces their competitiveness in the rapidly growing halal industry. The program applies a participatory approach by involving universities, village authorities, and MSMEs. Key activities include needs assessment, training on halal value chain concepts, technical assistance for halal certification documents, workshops on digital business practices, and business clinics on Islamic financing. A Halal Value Chain Learning Circle is also established to support continuous collaboration and knowledge sharing. The program is expected to enhance MSME capacity, improve product quality, expand market access, and contribute to a sustainable halal ecosystem in Aceh.

Environmental cleanliness is a critical factor in the effective management of nature-based tourist destinations, as it strongly shapes tourists’ perceptions of destination quality, comfort, and overall attractiveness, as well as their intention to visit and revisit. This study aims to examine the extent to which environmental cleanliness influences tourists’ visit intention in the Harau Valley tourism area (Lembah Harau), Kanagarian Tarantang, Harau District, Lima Puluh Kota Regency. The research employed a quantitative survey method by distributing structured questionnaires to 50 tourists during their visit to Lembah Harau. The variables measured include tourists’ perceptions of environmental cleanliness, such as waste management practices, sanitation conditions, and the availability of waste disposal facilities, as well as visit intention indicators, including intention to return and willingness to recommend the destination to others. The findings highlight the importance of maintaining a clean environment to enhance tourists’ positive behavioral intentions. The implications of these findings suggest that destination managers and local government authorities should consistently enforce cleanliness policies, strengthen integrated waste management systems, and provide adequate sanitation facilities to enhance the attractiveness of Lembah Harau and support sustainable tourism development, without neglecting the need for continuous monitoring, evaluation, and improvement in these areas.

Human personality is diverse and influences the way people act, think, and interact in daily life. These differences also appear in literature, especially in drama, where characters reveal their traits through dialogue, actions, and conflicts. This study aims to analyze the personality of Othello in William Shakespeare’s Othello using the Big Five Personality Traits (OCEAN). This research employs a qualitative descriptive method with data taken from selected dialogues and monologues that reflect Othello’s personality. The data were categorized into five dimensions: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. The findings show that Neuroticism (30.77%) is the most dominant trait in Othello’s character, followed by Extraversion (23.08%), Agreeableness (15.38%), Conscientiousness (15.38%), and Openness (15.38%). These traits influence his decisions, relationships, and eventual downfall, indicating that emotional instability and insecurity play a crucial role in the tragic development of the play. This study demonstrates how universal personality traits shape human behavior and conflict in Shakespeare’s drama and shows that modern psychological frameworks can be effectively applied to classical literature.

This study elaborates on the concept of humanism in Islamic educational philosophy by highlighting in greater depth the role of humans as caliphs on earth. Humanism from an Islamic perspective not only focuses on humans as rational beings but also emphasizes the moral, spiritual, and social responsibilities inherent in the mandate of the caliphate. This study applies a qualitative approach with a literature study, where data is obtained from various written sources such as scientific articles and academic publications that discuss humanism in Islamic education and the concept of the human caliphate. The data collection process is carried out through searching, selecting, and organizing literature relevant to the focus of the study. The collected data are then analyzed using descriptive-qualitative techniques through the stages of simplifying information, grouping findings, and formulating systematic conclusions. The results of the study indicate that the position of humans as caliphs requires the development of intellectual, ethical, and spiritual potential in an integrated manner in the educational process. Therefore, Islamic education needs to be directed towards a holistic humanization process, which not only strengthens reasoning and social character but also fosters a transcendental awareness of human relationships with God, fellow humans, and nature. Thus, humanism in Islamic education is not secular, liberal, or anthropocentric, but is firmly rooted in divine values ​​that harmoniously unite the divine and human dimensions.

The economic empowerment of the congregation is also part of the church's duties and callings, the church is not limited to spiritual strengthening but also about the real life of the congregation. For this reason, this study aims to find strategies that can be carried out by the Toraja church, the Banula congregation, in increasing the potential for economic empowerment within the congregation. To achieve this purpose, the author uses a qualitative research method with a literature study and social analysis model. The literature study was obtained from secondary data originating from books, articles/journals and relevant internet sources. Meanwhile, data obtained from the field is primary data based on observation and interviews. The theory used in this study is about empowerment, the theory of strategy and the theory of leadership. The results of the study are that the church has begun the foundation in economic empowerment and will continue to be improved to the next stage. Considering the natural potential and individual potential in the Toraja church, the Banula congregation is quite important to be developed.

This study aims to examine the effects of service quality and product quality on customer satisfaction and purchase decisions, as well as the mediating role of customer satisfaction. The population consists of Shopee users in Semarang City (January–May 2025). Using the Lemeshow formula, 97 respondents were selected through purposive sampling. Data were collected using a 5-point Likert questionnaire and analyzed with SEM-AMOS. The findings show that both service quality and product quality significantly increase customer satisfaction. Service quality and product quality have positive but insignificant direct effects on purchase decisions, while customer satisfaction has a significant positive effect on purchase decisions. Customer satisfaction also significantly mediates the influence of service quality and product quality on purchase decisions. These results underline the crucial mediating role of satisfaction in shaping consumer purchasing behavior on digital platforms like Shopee.

This study aims to analyze the influence of Meta Ads, price, and product quality on the online purchase intention of digital products marketed through the Instagram account @cuantanpakamera. This study employs a quantitative approach. The population of this study consists of all 31,800 followers of the @cuantanpakamera Instagram account. The sampling technique used was purposive sampling, involving 125 respondents. Data analysis was conducted using multiple linear regression aided by the Statistical Package for Social Sciences (SPSS) 22.0 for Windows. The results indicate that Meta Ads, price, and product quality variables have a positive and significant effect on online purchase intention. Meta Ads was identified as the most dominant factor influencing online purchase intention. The coefficient of determination (R²) value of 0.663 indicates that the independent variables are able to explain 66.3% of the variation in online purchase intention, while the remaining 33.7% is explained by other factors such as consumer trust, brand awareness, and so forth. This study emphasizes the importance of implementing effective digital advertising strategies and consistent product quality management to enhance consumer purchase intention in the era of social media-based marketing.

This study aims to analyze the effect of teamwork, workload, and work discipline on the work productivity of employees at PT Sejin Fashion Indonesia Pati. The study used a sample of 94 respondents determined using proportionate stratified random sampling. Data collection was conducted using questionnaires and analyzed using multiple linear regression through SPSS version 25, including validity and reliability tests, t-tests, F-tests, and determination coefficients. The results show that: 1) teamwork has a positive and significant effect on employee productivity; 2) workload has a positive and significant effect on employee productivity; and 3) work discipline has a positive and significant effect on employee productivity; 4) teamwork, workload, and work discipline have a simultaneous effect on employee productivity. Work discipline is the most dominant variable in increasing employee work productivity. These findings imply that strengthening teamwork, adjusting workloads, and improving employee discipline are important strategies for companies to increase employee work productivity.

Tujuan dari penelitian ini: Mengetahui pengaruh komunitas online terhadap keputusan pembelian online. Mengetahui pengaruh promosi digital terhadap keputusan pembelian online. Penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel yang digunakan yakni peneliti dengan sengaja menentukan sampel yang dipilih sesuai dengan jumlah komunitas di grup Facebook dan persyaratan sampel yang ditentukan. Populasi dalam penelitian ini adalah seluruh jenis kelamin berusia 18 – 30 tahun dan sampel pada penelitian ini ada 100 responden. Metode pengumpulan data yang digunakan adalah skala dengan variabel terikat Keputusan pembelian online dan variabel bebasnya yakni, komunitas online dan promosi digital. Teknik analisa data menggunakan uji analisis regresi linier berganda dengan bantuan program Statistical Package for Social Sciences (SPSS) 22.0 for Windows. Hasil penelitian menunjukan bahwa: Komunitas Online paling berpengaruh positif dan signifikan terhadap Keputusan Pembelian Online. Promosi Digital berpengaruh positif dan signifikan terhadap Keputusan Pembelian Online.