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This community-based project aimed to analyze the cash management system of the micro, small, and medium enterprise (MSME) Bakpia Juwara Satoe and develop recommendations to improve the company's financial performance. Cash management is a crucial but often overlooked aspect of MSME financial management, which can lead to cash flow problems, inaccurate record keeping, and poor management decisions. The methodology used included qualitative data collection through direct observation, in-depth interviews, and financial statement analysis. The project findings revealed that Bakpia Juwara Satoe lacked a functioning cash management system. There was no separation between cash receipts and disbursements, no standardized system for handling cash, and transaction recording remained manual and inconsistent. As part of the project, standard operating procedures (SOP) for cash management were developed, financial accounting training was conducted, and support was provided in creating simple cash flow statements. Following the implementation of these measures, record accuracy increased by 78%, and cash losses were reduced. It was determined that the implementation of efficient cash management contributed significantly to the improvement of Bakpia Juwara Satoe's financial performance.

Ketidaksesuaian kualitas pada proses assembly sepatu kulit kerap memicu siklus rework berulang yang menguras sumber daya waktu maupun biaya produksi secara signifikan. Penelitian ini mengkaji mekanisme pengendalian cacat yang diterapkan pada Product D-01 di Lini C PT XYZ, dengan menggunakan DMAIC sebagai kerangka perbaikan utama serta Pareto, P-Chart, Fishbone Diagram, 5 Whys, Failure Mode and Effects Analysis (FMEA), dan Cost of Quality (COQ) sebagai alat pendukung. Data primer bersumber dari catatan produksi internal perusahaan, pengamatan lapangan, dan wawancara terstruktur bersama pengawas produksi dan staf quality control. Pengukuran baseline menunjukkan bahwa Lini C menyumbang volume cacat paling tinggi di antara seluruh lini yang ada, dengan Product D-01 mencatat 10.487 pair cacat dari total output 80.387 pair, sehingga menghasilkan defect rate sebesar 13,05%. Distribusi Pareto mengidentifikasi wrinkle, incorrect colour, dan not straight sebagai tiga kategori cacat paling kritis. Penilaian FMEA menetapkan Risk Priority Number tertinggi sebesar 245 pada perilaku operator yang terburu-buru selama proses lasting dan brushing. Tindakan korektif mencakup pemasangan SOP visual, implementasi checklist QC pra-shift, verifikasi kondisi mesin secara rutin, dan penyediaan sampel referensi warna serta bentuk yang terstandar. Pemantauan selama dua periode berikutnya mengkonfirmasi penurunan defect rate secara bertahap menjadi 12,80% dan kemudian 11,65%, disertai penurunan estimasi biaya kegagalan internal dari Rp 2,36 juta menjadi Rp 1,86 juta per periode.

This research is motivated by the importance of implementing Standard Operating Procedures (SOP) in speed boat maintenance activities as a supporting facility for ship agency operations at PT. Sinar Pasific. The high intensity of speed boat usage makes the fleet vulnerable to damage if maintenance is not carried out regularly and according to procedures. Based on initial observations, inconsistencies in maintenance implementation, incomplete documentation, and damage to the engine, electrical systems, and hull were still found, which can disrupt company operations. This study aims to determine the implementation of SOPs, the obstacles encountered, and the efforts made to optimize speed boat maintenance at PT. Sinar Pasific. This research was conducted at PT. Sinar Pasific during the author’s Onboard Practical Training (PRADA) from August 2024 to July 2025. The research method used is a descriptive qualitative method. The data sources were obtained through direct field observation, semi-structured interviews with personnel involved in speed boat operations, and documentation studies related to fleet maintenance activities. The results show that the implementation of Standard Operating Procedures (SOP) in speed boat maintenance at PT. Sinar Pasific has been carried out but has not yet run optimally. This is indicated by inconsistent maintenance schedules, lack of supervision, and incomplete maintenance documentation. In addition, several problems were still found, such as damage to the engine, electrical systems, and speed boat hulls, which can hinder company operations. To overcome these obstacles, the company has made efforts by improving discipline in SOP implementation, conducting regular supervision and evaluation, improving maintenance documentation, and increasing technicians’ understanding of the importance of preventive maintenance so that speed boat conditions are maintained and operational activities run smoothly.

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

The development of technology in the digital era has significantly altered consumer behavior, particularly for Generation Z, who are known as digital natives. This group possesses unique characteristics, highly relying on social media to seek product information before making purchasing decisions. This study aims to analyze digital marketing management strategies through social media in enhancing brand engagement and loyalty among Generation Z consumers, as well as to identify the key determinants of its success. The research method employed is descriptive qualitative, utilizing literature review as the data collection technique across prior scientific sources. The analysis reveals that the implementation of digital marketing strategies based on visual content and short-form videos on platforms such as TikTok and Instagram is proven to be highly effective in capturing the audience's attention rapidly. In addition to content format, collaboration with highly credible influencers and the application of authentic, responsive two-way communication serve as the main pillars in building emotional proximity and trust among young consumers. Operationally, this strategy offers cost efficiency and a broader market reach. The conclusion of this study emphasizes that the optimal integration between management information systems and interactive, adaptive communication approaches toward digital trends is the main key to winning the market and sustaining the long-term loyalty of Generation Z.

Adolescents face significant barriers in accessing reproductive health services due to fears of privacy breaches and social stigma. In primary healthcare facilities, healthcare professionals are often trapped in a dilemma between the obligation to maintain medical confidentiality based on professional ethics and national regulatory demands requiring parental involvement for underage patients. This study aims to analyze the practice of protecting adolescent patient data privacy at Mardi Saras Primary Clinic and identify the gap between practical implementation and the norms of medical ethics and applicable legal regulations. This study employs a socio-legal research method with a qualitative approach. Data were collected through in-depth interviews with doctors and nurses, observation of service procedures, and study of the clinic's Standard Operating Procedures. The results indicate that although Mardi Saras Primary Clinic has implemented basic confidentiality protocols such as closed consultation rooms, there are substantial weaknesses in informed consent management, which still heavily relies on parental presence for all adolescent cases. This practice is driven by healthcare professionals' fear of legal risks, thereby ignoring the principle of developing autonomy in adolescents. These findings indicate a disparity between rigid administrative compliance and the spirit of protecting adolescent health rights within national regulations. The implication of this study underscores the urgency of developing specific SOPs that are sensitive to adolescent rights, as well as the need for continuous training for healthcare professionals regarding the legal and ethical boundaries of maintaining confidentiality for underage patients without compromising legal safety aspects.

Pengaturan mengenai hak sewa atas tanah telah diakui dalam Undang-Undang Nomor 5 Tahun 1960 tentang Peraturan Dasar Pokok-Pokok Agraria (UUPA), serta Peraturan Pemerintah Nomor 18 Tahun 2021 dan Peraturan Menteri ATR/BPN Nomor 16 Tahun 2021. Penelitian ini bertujuan menganalisis implementasi pendaftaran perjanjian sewa atas tanah di Kantor Pertanahan Kabupaten Badung. Metode yang digunakan adalah penelitian hukum empiris dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa implementasi pendaftaran perjanjian sewa tanah belum terlaksana di Kantor Badan Pertanahan Kabupaten Badung, meskipun telah diatur secara normatif. Hal ini disebabkan oleh belum adanya standar operasional prosedur (SOP), keterbatasan fitur dalam sistem pelayanan pertanahan, serta sifat pengaturan yang masih fakultatif. Secara yuridis, perjanjian sewa tetap sah sepanjang memenuhi ketentuan Pasal 1320 KUHPerdata, namun tidak memiliki kekuatan publikasi sehingga berpotensi menimbulkan risiko hukum bagi pihak ketiga. Diperlukan penguatan regulasi, penyusunan SOP, serta peningkatan kesadaran hukum masyarakat.

Kegiatan pengabdian masyarakat ini bertujuan untuk membekali siswa SMK Negeri 11 Semarang dengan pengetahuan, sikap, dan keterampilan yang dibutuhkan untuk bekerja di Jepang. Kegiatan dilaksanakan melalui metode penyuluhan dan workshop yang melibatkan 50 siswa kelas XII jurusan Teknik Grafika, Animasi, dan Pengembangan Game. Materi mencakup tiga pilar utama: kemampuan bahasa Jepang (minimal N5/JLPT), sikap kerja (disiplin, tanggung jawab, sopan santun, dan pantang menyerah), serta keterampilan teknis (hard skill, soft skill, dan survival skill). Tiga jalur ke Jepang diperkenalkan yaitu magang teknis (Ginou Jisshuu), Specified Skilled Worker (SSW), dan sekolah sambil bekerja (Ryuugakusei). Hasil evaluasi menunjukkan peningkatan pemahaman dan motivasi siswa untuk mengejar peluang karier di Jepang. Kegiatan ini diharapkan menjadi langkah konkret dalam meningkatkan kualitas dan daya saing lulusan SMK di pasar kerja internasional.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

Along with the times, computer technology is developing very rapidly. The increasingly rapid development of computer technology means that everyone is required to utilize computer technology in their daily lives. Utilization of technology is one of the implementation roles of scientific disciplines. The reason behind the formation of this research is so that in the future it will become a fun learning concept in the introduction of objects and shapes in children and the motor development of children. children are usually more interested in seeing pictorial text, or pictures that contain lots of color. The Viola Jones method itself was chosen as the research completion algorithm. The Viola Jones method is usually used as a method in research that discusses the detection of objects, faces and others. The Viola Jones method was chosen because it has a high level of accuracy that can reach 100% probability.

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

Micro, Small, and Medium Enterprises (MSMEs) of chips in Pugeran Village, Gondang District, Mojokerto Regency face structural obstacles in the form of limited internal governance and weak market penetration. Around 80% of business actors are still managed conventionally, triggering production inefficiencies and a lack of mastery of persuasive marketing language on packaging. This community service activity aims to reconstruct an effective division of labor based on HR governance mindset, build the capacity of practical skills in packaging copywriting and digital media, and change business behavior from conventional reactive to strategic proactive. The program is implemented with an Asset-Based Community Development (ABCD) approach through three main intervention stages, namely diagnosis and reconstruction of MSDM, co-creation and marketing language assistance, and the adoption of proactive behavior through coaching and market simulation. The results showed a significant socio-economic transformation, characterized by the implementation of labor division SOPs that increased production efficiency by 18%, as well as the adoption of new packaging and persuasive copywriting techniques that expanded market reach beyond the region and increased average turnover by 22% in two months. In addition, a new social institution was formed in the form of the "Prosperous Pugeran Chips Craftsmen Association" and the emergence of young local leaders as agents of the program's sustainability.

Data security in Electronic Medical Records (EMR) is a crucial issue in health information governance in Indonesia. This study evaluates the compliance of health facility information security systems with Ministry of Health Regulation (PERMENKES) No. 24 of 2022 and Personal Data Protection Law (UU PDP) No. 27 of 2022, and analyzes the impact of non-compliance on service quality and patient trust. The method employed is a systematic narrative literature review on the Google Scholar database (2023–2026) using the keywords "data security and privacy," "electronic medical records," and "CIA Triad," focusing on the implementation of Confidentiality, Integrity, and Availability. The four healthcare facilities examined have implemented controls such as role-based access control, Electronic Signatures (TTE), Virtual Private Networks (VPN), data encryption, and SSL/TLS protocols in accordance with PERMENKES provisions and Article 35 of the UU PDP. However, the effectiveness of implementation is hindered by weak authentication due to the use of simple passwords and excessively long auto-logout durations, the absence of comprehensive written standard operating procedures (SOPs), low staff compliance with security protocols, and minimal patient awareness regarding personal data protection rights. These weaknesses heighten the risk of patient data breaches as well as potential administrative sanctions and fines, and carry negative implications for service quality and public trust. Recommendations include strengthening internal security policies, developing written SOPs, providing continuous training for healthcare workers, implementing stronger authentication mechanisms (e.g., multi-factor authentication/MFA), and conducting patient awareness programs to ensure regulatory compliance and maintain public confidence.

Market levies are a regional taxation category that holds significant promise for increasing regional fiscal resources, complementing local tax revenues. The objectives of this study are; (1) Understanding the Communication Mechanism in the Implementation of Market Service Fee Policy in Gorontalo City. (2) Examination of Resource Availability in the Implementation of Market Service Tax Policy in Gorontalo. (3) Understanding the Bureaucratic Framework in the Implementation of Market Service Tax Policy in Gorontalo City. (4) Examination of the Implementation of Market Service Tax Policy Disposition in Gorontalo City. The method used in this study is a descriptive qualitative method. The results of this study indicate that the communication of market service fee policy has been carried out through systematic formal channels and is supported by a clear bureaucratic structure and division of tasks, but its implementation is still not optimal. This is caused by several obstacles, including unequal understanding and distribution of information among traders, limited resources in terms of both quantity and quality of human resources, budget, and inadequate market facilities. Furthermore, weak coordination and suboptimal implementation of SOPs in the field also impact work consistency, while the disposition or attitude of implementers who have demonstrated commitment but are not yet unified requires a more comprehensive strategic approach. Therefore, integrated efforts are needed, including improving the communication framework, strengthening human resource capacity, improving facilities, stricter supervision, and ongoing coaching to create more effective and professional policy implementation.

This research aims to examine the potential adaptation of Naval military logistics strategies to optimize humanitarian logistics distribution in remote archipelagic regions. Utilizing a descriptive qualitative method with a Systematic Literature Review (SLR) approach of literature from the 2020-2026 period, this study dissects the concept of Sea-Based Logistics through domain, taxonomic, and componential analyses. The findings indicate that military advantages in floating infrastructure and integrated command chains can effectively bypass distribution barriers in areas lacking port facilities. The study concludes by recommending a military-civilian logistics integration model as a strategic solution for national logistics resilience in coastal areas. The effectiveness of this strategic adaptation relies not only on physical operational aspects but also on the synchronization of budgetary policies and the integration of information technology within the supply chain. From a logistics economics perspective, utilizing naval assets as floating bases mitigates the risk of high costs resulting from post-disaster land infrastructure damage. This synergy necessitates the establishment of collaborative Standard Operating Procedures (SOPs) between military and civilian authorities to create a humanitarian logistics ecosystem that is more resilient, transparent, and capable of responding to crisis dynamics in outlying regions in real-time

Economic growth in ASEAN countries has shown heterogeneous dynamics, particularly in the post-pandemic period. This study aims to analyze the effect of economic complexity, manufacturing value added, and foreign direct investment on economic growth in ASEAN-8 countries during 2015–2024. The study employs a quantitative explanatory approach using panel data regression analysis. The data were obtained from the World Development Indicators (World Bank) and Harvard Growth Lab. Based on the Chow and Hausman tests, the Fixed Effect Model (FEM) was selected as the best estimation model. The results indicate that economic complexity has a negative and significant effect on economic growth, suggesting that increasing economic sophistication does not automatically promote growth when industrial and institutional readiness remain limited. Meanwhile, the manufacturing sector has a positive but insignificant effect on economic growth. In contrast, foreign direct investment has a positive and significant effect on economic growth through capital accumulation and technology transfer. Simultaneously, all independent variables significantly affect economic growth in ASEAN-8 countries. These findings imply the importance of strengthening industrial capacity, institutional quality, and technological readiness to support sustainable economic growth in ASEAN countries.

The Legal Unit plays a crucial role in ensuring compliance with banking regulations, particularly in managing customer documents related to data protection and legal risk reduction. This study aims to explore the role and performance of the Legal Unit in managing customer files at Bank Sumsel Babel, Kapten A. Rivai Main Branch, and to identify obstacles and possible solutions. The method chosen in this study is qualitative with a descriptive approach. Data were obtained through observation, interviews, and document analysis, which were then analyzed using the interactive model of Miles and Huberman. The research findings indicate that the Legal Unit is responsible for ensuring that document management is carried out regularly, securely, and in accordance with applicable banking regulations. The implementation of Standard Operating Procedures (SOPs), internal supervision, and the use of digital archives contribute to legal compliance and minimize the risk of document loss and information leakage. Problems encountered include limitations in human resources and incompatibility with digital systems. Therefore, improvements in document management technology, training for human resources, and periodic SOP evaluation are needed to improve the effectiveness of the Legal Unit's work and maintain customer trust.

Field Experience Practice (PPL) or internship is a practical course carried out directly in a company according to the student's field of study, with the aim of integrating lecture theory and real work practice. PPL is worth 6 credits and is a mandatory part of the curriculum for undergraduate students at the Putera Bangsa Tegal Islamic Economics College. Students who have not participated in PPL are not considered to have met the academic qualifications as graduates. This program aims to produce competent graduates as academics, researchers, consultants, accounting practitioners, and creative, innovative, and professional Muslim entrepreneurs. Through PPL, students are expected to improve their personal qualities, work experience, and understanding of the business world and development policies. The PPL implementation took place from September 14, 2025 to January 15, 2026 at PT Masanda Jaya. The Sharia Business Management Study Program views PPL as a strategic tool to understand management practices, SWOT analysis, governance, and company strategies in achieving organizational goals. The PPL report compiled by the author has the theme of the FAJAR internship.