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Magelang City faces the challenge of limited land availability, with a total area of only 18.58 km2 and a high population density. Consequently, telecommunications infrastructure development requires a precise strategy. This study aims to analyze the business model and investment feasibility of Pole and Greenfield type telecommunication towers in Magelang City. Using a descriptive quantitative approach, this research processes secondary data from PT Dayamitra Telekomunikasi Indonesia by applying feasibility analysis based on Life Cycle Costing (LCC), Net Present Value (NPV), Internal Rate of Return (IRR), Break-Even Point (BEP), Payback Period (PP), and Benefit-Cost Ratio (BCR). The results indicate significant differences in cost structures; Pole towers proved to be more efficient, requiring an initial capital outlay of only 28.8% of the total capital required for Greenfield towers. Greenfield towers generated an NPV of Rp13.07 billion with an IRR of 20%, while Pole towers generated an NPV of Rp2.46 billion with a higher IRR of 23%. Pole towers have proven to offer a faster return on investment and better operational cost efficiency, making them the most strategic option to support network densification and the implementation of 5G technology in urban areas with spatial constraints like Magelang City.

Human happiness does not lie in physical pleasure, victory, wealth, honour, worldly power, a beautiful body, or the senses. People in religious communities seek something deeper, contemplating and acknowledging the highest value in union with God. Thomas Aquinas, in his Summa Contra Gentiles, arguments that human happiness lies in the contemplation of God, through which one attains peace and fulfilment in total self-surrender to God. However, in the lived experience of religious communities, a fear of matters related to sexuality is evident. Indeed, some misunderstand and misinterpret these matters, resulting in monks and nuns who become cold, dry, and rigid, acting in ways that violate sexual morality, thereby disrupting or even destroying—their ministry due to such improper conduct. Based on this, the author recognises the importance of education and the appreciation of sexual values for religious communities. Using a literature review method involving relevant books, journals, articles, and Church documents with a theological approach, it was found that the education of religious people requires aspects of happiness and sexuality education. The results of the study indicate that Thomas Aquinas’s concept of happiness can bridge religious life with sexuality education, which is one aspect that must be understood and lived out. Therefore, the happiness of love and the sexuality education of religious people need to be explored and lived out in the course of living and experiencing life as a religious person.

Rheumatoid arthritis (RA) is a daily disease seen in rheumatology clinics. It predominantly involves the appendicular skeleton. The axial skeleton is mostly spared except for the cervical spine where instability can occur and can be carefully assessed with cervical spine radiographs in flexion and extension. Radiographs may show erosion at the C1-C2 level with destruction of the transverse ligament that can result in atlantoaxial subluxation. Diagnosis is based on clinical, laboratory, and radiographic findings. Conventional radiography has been the mainstay for diagnosis of joint damage and subsequent follow-up. Radiography can provide only indirect information on synovial inflammation, however, and the technique is insensitive to early bone damage. Hand radiographs are frequently ordered as the first imaging modality in the assessment of patients presenting with peripheral arthritis. They can provide invaluable information about the bones, joints, mineralization, soft tissues and the distribution of abnormalities. Given the wide spectrum of rheumatic diseases, it might be challenging to make the diagnosis solely based on the clinical findings and imaging plays an important role in narrowing the differential diagnosis. Having the knowledge of the common radiographic manifestations of inflammatory arthritis is of paramount importance for clinicians and radiologists to diagnose the underlying disease in early stages of disease in order to start treatment. The purpose of the article is to review the key radiographic findings of common rheumatic diseases in the hands.

Churches and Christian institutions frequently face the challenge of congregations whose understanding of ministry remains confined to the spiritual dimension alone, while the holistic ministry mandate calls for active engagement across social, educational, and economic spheres. This study examines two primary objectives: first, how Christian Religious Education (CRE) shapes congregational understanding of holistic church ministry; and second, how CRE equips congregants with the concrete capacity to serve comprehensively. A qualitative approach with a case study design was employed at Yayasan Sola Gratia Medan. Data were gathered through in-depth interviews with seven informants comprising foundation leaders, program coordinators, active church members, volunteers, and beneficiaries. Analysis followed a thematic framework encompassing data reduction, display, and conclusion drawing. Findings reveal that: (1) consistent CRE implementation at Yayasan Sola Gratia has successfully shifted the congregational ministry paradigm from exclusively spiritual to holistically transformative; and (2) congregants who have internalized CRE values demonstrate more structured ministry capacity, stronger theological motivation, and significant cross-dimensional engagement. This research contributes a contextual CRE model relevant for church-based institutions operating in multidimensional urban environments.

This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

Hydrocephalus is defined as active distension of the brain’s ventricular system, resulting from inadequate flow of cerebrospinal fluid from its site of production to its site of absorption into the systemic circulation. Hydrocephalus can affect anyone at any age; pediatric hydrocephalus affects 1 in 1,000 live births and is the most common cause of brain surgery in young patients. Hydrocephalus is a pathological condition characterized by abnormal accumulation of cerebrospinal fluid (CSF) due to increased production, impaired flow, or reduced absorption. Ventricular enlargement occurs in response to increased CSF volume and can lead to structural damage to the brain parenchyma. This condition can be congenital or acquired. One key point in prenatal diagnosis is the differentiation between fetal hydrocephalus and non-hypertensive ventriculomegaly. The former qualifies for intrauterine treatment with good outcomes. However, the latter can result in either favorable or catastrophic outcomes due to a damaging etiology, as seen in viral infections such as Zika virus. For an accurate diagnosis, fetal MRI is performed to detect brain anomalies, in addition to fetal ultrasound (to detect common complications), karyotype testing, and TORCH testing (toxoplasma, rubella, cytomegalovirus, herpes simplex). Obstetric management of fetal hydrocephalus depends on the gestational age at diagnosis and the presence of other anomalies. Treatment options include termination of pregnancy before the fetus is viable, placement of a ventriculoamniotic shunt, cephalocentesis before delivery, and/or cesarean section.

Anemia masih menjadi problematika gizi utama pada remaja putri di Indonesia yang berdampak buruk terhadap performa akademik serta kesehatan reproduksi jangka panjang. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan kesadaran gizi terkait pencegahan anemia melalui intervensi edukasi sadar gizi di SMAN 1 Sampang. Metode yang diterapkan berbasis pendekatan partisipatif interaktif, meliputi ceramah, pemanfaatan media visual (leaflet dan poster), simulasi penyusunan menu sehat kaya zat besi, serta kuis edukatif. Evaluasi program diukur secara kuantitatif melalui instrumen pre-test dan post-test, serta secara kualitatif melalui observasi keaktifan peserta. Hasil pelaksanaan menunjukkan adanya peningkatan pemahaman yang signifikan mengenai definisi, dampak, dan pencegahan anemia, serta perubahan sikap positif terhadap pola konsumsi seimbang dan kepatuhan sarapan. Kesimpulannya, edukasi gizi yang terstruktur dan interaktif terbukti efektif dalam membangun kesadaran kesehatan remaja, sehingga dapat dijadikan strategi preventif yang berkelanjutan di lingkungan sekolah.

Land rights disputes arising from overlapping land certificates remain a complex agrarian law issue frequently encountered in Indonesia. This phenomenon reflects weaknesses in the land administration system, particularly in data collection, land measurement, and certificate issuance. Such disputes create conflicts, legal uncertainty, and reduced public trust in the land registration system. In practice, these disputes are generally resolved through civil litigation procedures in the District Court. This study aims to comprehensively analyze civil procedural law in resolving land rights disputes involving overlapping certificates and to examine the evidentiary strength of land certificates in judicial proceedings. This research employs a normative legal method using statutory and conceptual approaches, supported by primary and secondary legal materials. The findings indicate that dispute resolution begins with the filing of a lawsuit, followed by mediation, court examination, and the evidentiary process as the most crucial stage in determining lawful ownership. Land certificates serve as strong evidence; however, they are not absolute, as they may be challenged if administrative or substantive legal defects are identified. Judges play a central role in assessing certificate validity by considering land history, physical possession, good faith, and compliance with legal procedures. Nevertheless, the effectiveness of dispute resolution still requires improvement through better land administration, enhanced data accuracy, and stronger institutional integration.

The digital transformation of the Indonesian judicial system through the implementation of e-court and e-litigation necessitates a redefinition of conventional evidentiary laws, which have historically been governed by the Herziene Inlandsch Reglement (HIR) and the Rechtreglement voor de Buitengewesten (RBg). This research aims to analyze the evidentiary strength of electronic documents as expanded means of proof in civil proceedings and to identify the challenges regarding their implementation. The research method employed is normative legal research using a statutory approach and a conceptual approach. The findings indicate that based on the principle of functional equivalence, electronic documents hold a legal status equivalent to paper-based documents, provided they meet the requirements of integrity, accessibility, and authenticity through certified electronic signatures as mandated by Law Number 1 of 2024 concerning Electronic Information and Transactions. The evidentiary strength of an electronic document may reach the level of conclusive evidence, similar to an authentic deed, if supported by a reliable electronic system. However, implementation still faces technical hurdles concerning metadata verification and limited human resource competency within the judiciary. This research recommends the urgent need for a new codification of civil procedural law and the standardization of digital forensic procedures in trials to ensure legal certainty and justice for all parties in the digital era.

The presence of Generation Z, who grew up entirely in the digital era, has triggered a fundamental transformation in Muslim religious practices, where social media has replaced conventional religious institutions as the primary source of religious information. This condition creates a paradox: Gen Z has become a generation that is highly religious online, yet is often disconnected from physical communities and traditional religious authorities. This study aims to analyze the character of Muslim Gen Z religiosity, identify its forming factors, and examine the impact of the digital era on their religiosity. This study employed a descriptive qualitative approach using a library research method. The findings indicate that Muslim Gen Z religiosity is characterized by personalization, flexibility, and digital spirituality, strongly influenced by social media. These characteristics are shaped by massive digital technology accessibility, the effectiveness of contextual Islamic preaching on platforms such as TikTok, as well as spiritual needs and social pressure from the digital environment. The digital era brings positive impacts in the form of increased accessibility and religious literacy, but also negative impacts including shallow religious understanding, vulnerability to information bias, and potential exposure to extreme ideologies. This study implies the importance of an integrated digital religious literacy strategy through critical thinking-based Islamic Religious Education curriculum reform, enhancement of educators' digital capacity, and cross-sector collaboration to strengthen Gen Z's moderate and reflective religious understanding.

Hypertension is one of the most common chronic diseases encountered in primary healthcare and may lead to serious complications if left uncontrolled. This case report aims to describe the management of a 48-year-old female patient with grade II hypertension through a family medicine approach at Nisam Primary Health Center, North Aceh Regency. The patient presented with intermittent headaches for one week, which worsened after physical activity and were accompanied by numbness in both legs. She had a five-year history of hypertension with poor adherence to antihypertensive medication. Physical examination revealed a blood pressure of 165/70 mmHg, leading to a diagnosis of grade II hypertension. Comprehensive management was conducted using patient-centered and family-centered approaches, including education regarding hypertension, lifestyle modification, DASH diet implementation, physical activity, medication adherence, and family support through home visits and family folders. The interventions were expected to improve blood pressure control, prevent complications, and enhance the patient’s quality of life. A family medicine approach plays an important role in comprehensive hypertension management at the primary healthcare level.

This study was conducted based on the low level of student activeness and understanding in IPAS learning at the elementary school level. The objective of this research was to determine the effectiveness of the role play method in improving students’ activeness and learning outcomes. This study employed a classroom action research approach involving 27 students. The data were collected through observation and evaluation of student learning outcomes. The findings revealed a significant improvement in both student participation and understanding after the implementation of the role play method. Students became more active in asking questions, responding to the teacher, and participating in classroom activities. In terms of learning outcomes, 85.2% of students were able to answer questions correctly and demonstrated good understanding, while the remaining 14.8% also achieved the minimum criteria. These results indicate that learning through direct experience enhances students’ comprehension. The implication of this study suggests that the role play method can be used as an effective alternative teaching strategy to create an interactive, engaging, and student-centered learning environment in elementary education.

The field of education, especially Islamic Religious Education (PAI), has seen substantial changes as a result of the advancement of digital technology and artificial intelligence (AI). The existence of digital media and AI offers numerous opportunities to improve the effectiveness, efficiency, and quality of education through interactive, flexible, and easily accessible learning resources. The purpose of this article is to analyze how artificial intelligence (AI) and digital media are used in Islamic Religious Education. This includes the idea of AI and digital media, AI-based learning materials, the use of AI in educational activities, ethical considerations of AI use, the effects and difficulties of integrating AI, and the Islamic viewpoint on technological advancement. This study employed a library research method by collecting data from relevant journals, books, and other scholarly sources. The findings indicate that the use of AI and digital media in PAI learning can enhance access to information, personalize learning experiences, improve evaluation effectiveness, and increase student engagement in the learning process. However, the implementation of AI also presents several challenges, such as limited digital literacy among teachers, inadequate facilities and infrastructure, ethical concerns, and the potential decline of direct educational interaction between teachers and students. Therefore, the utilization of AI in Islamic Religious Education should be carried out wisely while maintaining Islamic values, ethics, and the primary goal of Islamic education in shaping students’ character.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

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.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

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.

The enactment of Indonesia's Law Number 20 of 2025 on the Code of Criminal Procedure (KUHAP 2025), effective January 2, 2026, introduces a paradigmatic shift in the coordination between investigators and public prosecutors: Article 58 mandates active coordination from the investigation stage, fundamentally departing from the sequential-passive model of the former KUHAP, while Article 70 imposes a strict seven-day deadline for indictment drafting after case files are declared complete. This study examines two interconnected questions: (1) how the legal framework governing investigator–prosecutor coordination is structured under KUHAP 2025 and related legislation; and (2) how that framework is implemented in practice at the Purwakarta District Prosecutor's Office. A normative–empirical mixed-method design was employed, integrating statutory, conceptual, and case-study approaches. Data were gathered through in-depth interviews with prosecutors and investigators at Purwakarta District Prosecutor's Office and Purwakarta Police Resort, case document analysis, and field observation. The theoretical framework combines Lawrence M. Friedman's Legal System Theory and Soerjono Soekanto's Law Enforcement Theory. Findings reveal that KUHAP 2025 delivers substantial normative advancement yet harbours three critical regulatory gaps: the absence of binding technical protocols for implementing mandatory active coordination, the lack of uniform and measurable case-file completeness standards, and no formal mechanism for resolving institutional disagreements on legal interpretation. On the ground, coordination at Purwakarta still operates under the old sequential-passive pattern despite the new law: case-file returns (P-19) remain frequent, driven primarily by absent expert testimony, insufficient factual narration in examination records, and mismatches between charged articles and legal facts. A Friedman–Soekanto diagnostic reveals simultaneous dysfunction across all three legal system components substance, structure, and legal culture with the entrenched 'waiting culture' between the police and the prosecution identified as the most resistant obstacle to reform.