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Joint pain is one of the most common health problems among older adults and may reduce mobility and quality of life. Community self-survey data in Cepoko Village indicated that 55% of residents, particularly older adults, experienced joint pain complaints. One non-pharmacological intervention that can be applied is warm lemongrass foot soaking therapy known as SEHATI (Serai Hangat untuk Kaki). This community service activity aimed to improve elderly knowledge regarding self-management of joint pain and demonstrate warm lemongrass foot soaking therapy as a complementary treatment. The methods included health education, demonstration of warm lemongrass preparation, direct practice by participants, and evaluation through discussion and question-answer sessions. The participants were elderly individuals experiencing joint pain in Cepoko Village, Panekan District, Magetan Regency. The results showed that participants actively engaged in all activities, were able to explain the preparation steps of SEHATI, and understood the benefits of warm lemongrass foot soaking therapy for reducing joint pain. This program provides an easy, affordable, safe, and home-based complementary therapy alternative for elderly people.

Artikel ini membahas filsafat eksistensialisme dalam konteks dunia modern, dengan fokus pada tantangan yang dihadapi oleh individu dalam pencarian makna hidup di tengah kemajuan teknologi, perubahan sosial, dan kompleksitas kehidupan kontemporer. Filsafat eksistensialisme, yang berakar pada pemikiran tokoh seperti Søren Kierkegaard, Friedrich Nietzsche, dan Jean-Paul Sartre, menekankan pentingnya kebebasan, tanggung jawab pribadi, dan pencarian makna yang autentik. Dalam artikel ini, eksistensialisme dianalisis dalam kaitannya dengan dinamika sosial dan budaya modern, serta relevansinya dalam membantu individu mengatasi masalah seperti kecemasan eksistensial, alienasi, dan pencarian identitas dalam masyarakat yang cepat berubah. Diharapkan bahwa pemahaman yang lebih dalam tentang eksistensialisme dapat memberikan wawasan tentang cara-cara individu dapat menemukan makna dalam kehidupan mereka di dunia yang serba cepat dan serba digital.

Antimicrobial resistance is a persistent threat to hospital care, particularly when empirical therapy relies on broad-spectrum antibiotics without continuous evaluation of local use and susceptibility patterns. This literature review aimed to synthesize evidence from four Indonesian hospital-based studies regarding antibiotic utilization, rationality assessment, and bacterial resistance profiles. A structured narrative review was conducted using four selected articles provided by the author. Data were extracted for study design, setting, population, antibiotic evaluation method, dominant antibiotic classes, rationality indicators, resistance profile, and stewardship implications. The four studies were descriptive and hospital-based, using retrospective records, concurrent observation, ATC/DDD with DU 90%, qualitative rationality criteria, and antibiogram data. The synthesis showed a consistent concentration of antibiotic use in broad-spectrum groups, especially third-generation cephalosporins, penicillins, quinolones, and macrolides. In a Bandung public hospital, total antibiotic consumption reached 95,719.01 DDD, with penicillins, cephalosporins, quinolones, macrolides, and sulfonamides included in the DU 90% segment. In intensive care, ceftriaxone was the most frequently used antibiotic and most rationality indicators were appropriate, although clinically significant drug interactions were still identified. In pediatric acute respiratory infection inpatients, cefotaxime and ceftriaxone dominated empirical therapy. Resistance mapping in Denpasar highlighted relevant Gram-positive and Gram-negative pathogens and recommended antibiotics according to susceptibility levels. Overall, the reviewed evidence supports an integrated antimicrobial stewardship model combining ATC/DDD-DU 90% surveillance, qualitative rationality evaluation, antibiogram-based empirical guidance, and periodic feedback to prescribers.

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.

Digital transformation in the judicial system represents a strategic step to improve the quality of legal services in Indonesia. One of the innovations implemented by the Supreme Court of the Republic of Indonesia is the E-Court system, which enables case administration and court proceedings to be conducted electronically. This study aims to analyze the effectiveness of the implementation of E-Court in realizing the principles of simple, fast, and low-cost justice, as well as to identify the obstacles faced by parties who do not utilize the system. The research method employed is a normative legal approach, involving the analysis of statutory regulations and scholarly literature. The results indicate that, normatively, E-Court has been effective in supporting judicial efficiency; however, in practice, it still encounters various challenges, including technical, social, and institutional aspects. These obstacles vary among different legal subjects, namely advocates, individuals, private legal entities, and government legal entities. Therefore, comprehensive efforts are required to optimize the implementation of E-Court to ensure that the objectives of judicial reform can be fully achieved. Furthermore, the findings reveal that, from a normative perspective, E-Court provides a more efficient mechanism compared to conventional systems, particularly in terms of case administration and communication between parties. However, this effectiveness has not been evenly realized due to constraints such as the digital divide, limited technological infrastructure, and low user readiness. Consequently, the implementation of E-Court still requires reinforcement in both technical and cultural aspects to ensure optimal accessibility for all segments of society.

Tanaman padi merupakan salah satu komoditas pangan utama di dunia yang memiliki peran penting dalam menjaga ketahanan pangan global. Namun, produktivitas tanaman padi seringkali terganggu oleh berbagai penyakit daun yang dapat menurunkan kualitas dan hasil panen secara signifikan. Deteksi penyakit secara dini menjadi langkah penting untuk mengendalikan penyebaran penyakit tersebut. Metode konvensional yang mengandalkan pengamatan manual memiliki keterbatasan dalam hal kecepatan, akurasi, serta ketergantungan terhadap keahlian manusia. Oleh karena itu, diperlukan suatu sistem deteksi otomatis yang mampu mengidentifikasi penyakit secara cepat dan akurat. Penelitian ini bertujuan untuk mengembangkan model deteksi penyakit daun padi menggunakan metode YOLO (You Only Look Once) berbasis Deep Learning. Dataset yang digunakan diperoleh dari Kaggle yang terdiri dari citra daun padi dengan anotasi bounding box. Proses penelitian meliputi tahap pengumpulan data, preprocessing, pelatihan model, serta evaluasi performa. Model dilatih menggunakan optimizer Stochastic Gradient Descent (SGD) dengan parameter tertentu untuk memperoleh hasil yang optimal. Evaluasi kinerja model dilakukan menggunakan metrik mean Average Precision (mAP), precision, dan recall. Hasil penelitian menunjukkan bahwa model YOLO mampu mendeteksi penyakit daun padi dengan tingkat akurasi yang tinggi serta waktu deteksi yang relatif cepat. Hal ini menunjukkan bahwa metode YOLO efektif untuk diterapkan dalam sistem pertanian cerdas. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan teknologi deteksi penyakit tanaman berbasis kecerdasan buatan.

Penelitian ini dilatarbelakangi oleh proses absensi karyawan pada Stand Bento dan Stand Es Teh Luwes Ungaran yang masih dilakukan secara manual menggunakan buku absensi. Kondisi tersebut menimbulkan beberapa kendala, seperti kesalahan pencatatan jam masuk dan pulang, risiko kehilangan atau kerusakan data, serta lambatnya proses rekapitulasi laporan kehadiran. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi karyawan berbasis web menggunakan teknologi QR Code guna mengoptimalkan pengelolaan kehadiran pada usaha kuliner skala kecil. Metode pengembangan sistem yang digunakan adalah model Waterfall, yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan menggunakan PHP, MySQL, XAMPP, dan Visual Studio Code, serta dilengkapi fitur login, pengelolaan data karyawan, generate QR Code, scan QR Code, histori absensi, dan rekapitulasi laporan kehadiran. Pengujian dilakukan menggunakan Black Box Testing dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa seluruh fungsi utama sistem berjalan valid sesuai kebutuhan pengguna. Sistem ini mampu mendukung pencatatan kehadiran secara lebih cepat, terstruktur, dan terintegrasi dengan basis data, serta membantu pengelola usaha dalam memantau dan merekap data kehadiran karyawan secara lebih efisien.

Sumber Daya Manusia di dalam suatu perusahaan merupakan faktor yang mendukung dalam persaingan di era sekarang. Sumber Daya Manusia juga merupakan motor penggerak disuatu perusahaan ketika Sumber Daya Manusia disuatu perusahaan tidak sesuai dengan yang dibutuhkan maka akan berdampak juga terhadap majunya perusahaan. Banyak perusahaan atau instansi memanfaatkan Teknologi infomasi sebagai sarana promosi dan informasi dalam mengembangkan peluang Sumber Daya Manusiannya dimana salah satunya adalah PT Gunung Batu yang merupakan perusahaan penyalur jasa yang bergerak dibidang ketenaga kerjaan ke PT Pertamina (persero). Sistem yang berjalan pada PT Gunung Batu masih menggunakan pengolahan data besbasis excel dalam mengelola dan mengumpulkan semua data tenaga kerja, Hal ini mengakibatkan data yang sama di input berulang kali. Maka dibutuhkan sistem informasi yang mampu menyediakan pelayanan penerimaan jasa tenaga kerja berbasis web agar mempermudahkan pekerja mencari informasi dan melamar pekerjaan, pelamar tidak harus datang keperusaahaan untuk mendaftarkan diri sebagai calon tenaga kerja. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi penerimaan jasa tenaga kerja berbasis website menggunakan metode Extreme Programming (XP). Metode ini Menekankan pada pengembangan yang cepat dan fleksibilitas dalam proses pengembangan. Hasil penelitian ini diharapkan dapat meningkatkan fleksibilitas, serta memudahkan pekerjaan dalam mengelola data dan mengakses informasi.

Kesadaran dan kepedulian masyarakat terhadap lingkungan telah mendorong munculnya berbagai inisiatif pengelolaan sampah berbasis komunitas, salah satunya melalui mekanisme bank sampah. Namun pada praktiknya, banyak bank sampah masih mengandalkan pencatatan manual yang berpotensi menimbulkan kesalahan pencatatan, duplikasi data, keterlambatan pelaporan, dan kesulitan pelacakan transaksi. Penelitian ini bertujuan untuk mengembangkan sistem digital pengelolaan bank sampah berbasis mobile android dengan memanfaatkan Low-Code Development Platform (LCDP) sebagai pendekatan pengembangan yang efisien dan ekonomis. Hal ini sejalan dengan harapan pengelola bank sampah terkait penghematan biaya pengembangan, operasional, dan biaya perawatan sistem. Metode Prototyping digunakan sebagai model pengembangan sistem, dimana proses iterasi dilakukan berdasarkan umpan balik pengguna hingga sistem sesuai dengan kebutuhan operasional. Selama fase konstruksi, purwarupa yang dibangun mengalami dua tahap penyempurnaan sebagai hasil evaluasi pengguna terhadap perluasan fitur dan peningkatan fungsionalitas sistem. Evaluasi sistem dilakukan dengan menguji fungsionalitas setiap fitur menggunakan metode uji blackbox, melibatkan dua responden dengan perangkat yang berbeda. Hasil pengujian menunjukkan konsistensi hasil uji untuk setiap responden, seluruh fungsi sistem, termasuk pencatatan transaksi penukaran barang dan penarikan saldo, pengelolaan data peserta, autentikasi pengguna, serta pembatasan hak akses berjalan sesuai dengan perencanaan tanpa ditemui kendala fungsional. Pemanfaatan LCDP dengan metode prototyping memberikan kemudahan dan mempercepat proses pengembangan sistem serta memberikan fleksibilitas adaptasi dalam merespons perubahan maupun penambahan kebutuhan fungsionalitas sistem.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

This study aims to analyze the role of teachers in instilling the character of responsibility in students through Civic Education (PKn) learning in Madrasah Ibtidaiyah. The research employed a qualitative approach with a library research method by reviewing various relevant sources such as academic journals, books, and articles. The results indicate that Civic Education plays a strategic role in shaping students’ responsibility character, which is reflected in behaviors such as completing tasks, fulfilling obligations, and actively participating in learning activities. The teacher's role is a key factor in this process, functioning as a role model, facilitator, and guide. In addition, learning strategies such as habituation, contextual approaches, group work, and active learning methods are proven to be effective in fostering responsibility values. However, several challenges were identified, including time constraints, low student awareness, and external environmental influences. Therefore, continuous efforts from teachers, schools, and parents are necessary to create a supportive environment for optimal character development.

This study aims to examine the differences in stock prices before and after the Palestine-Israel ceasefire event in fast-food restaurant companies,  Pizza Hut and KFC. International-scale events may influence investor perceptions, as reflected in stock price movements in the capital market. This study employs a comparative quantitative approach using stock price data collected over 30 days before and 30 days after the ceasefire event. The analyzed data consist of secondary data processed through descriptive statistics, normality tests, and hypothesis testing. The findings indicate that the average stock price of PZZA increased after the event, whereas FAST experienced a decline in its average stock price. These results reveal differences in stock prices between the periods before and after the ceasefire event in both companies. The findings further suggest that geopolitical events are associated with changes in stock prices in the fast-food restaurant industry, although market responses differ across companies. Therefore, future studies are recommended to expand the scope of research objects and extend the observation period to obtain a more comprehensive understanding of market responses to international events.

Bacterial infections are diseases that can be transmitted by bacteria from sufferers to others, either directly or indirectly. Cases of bacterial infections are more common among children. The use of antibiotics is needed to treat life-threatening conditions caused by bacteria by killing bacteria or making it difficult for bacteria to grow and reproduce. Antibiotics are a type of drug given to prevent bacterial infections, or are drugs given to high-risk patients. This research method is a descriptive study by collecting medical record data to find out the description of bacterial infections and the use of antibiotics in pediatric inpatients at RSU Cut Meutia Aceh Utara in 2022. This research technique used purposive sampling with a sample size of 183 samples. The results of this study showed that 183 children suffered from bacterial infections and received injection antibiotic therapy, the majority were boys, namely 106 children (57%), the age group with the most number of sufferers, namely aged 0‒5 years, totaling 76 children (41%), the percentage of bacterial infections most commonly found in pediatric inpatient wards at RSU Cut Meutia Aceh Utara in 2022, namely typhoid fever as much as 33%, the class of antibiotics most commonly used at RSU Cut Meutia is cephalosporins (93%).

This study was motivated by students’ low conceptual understanding of temperature, heat, and thermal expansion at SMP Negeri 28 Batanghari, where learning achievement remained below 50%. Instruction predominantly used PowerPoint-based media, resulting in passive learning and limited contextual engagement. This study aimed to develop web-based interactive multimedia (GlidesApps) integrated with Cepak Kapung ethnoscience that is valid, practical, and effective in improving seventh-grade students’ conceptual understanding. The study employed a Research and Development (R&D) approach using a development model consisting of five stages: analysis, design, development, implementation, and evaluation. The resulting product, named LokaSains, is a web-based learning application accessible via smartphone, laptop, or computer without installation. It presents learning content on temperature, heat, and thermal expansion integrated with the ethnoscience of Cepak Kapung, a traditional cake from Batanghari Regency. Content expert validation obtained a score of 91.07% (very valid), while media expert validation reached 87.50% (very feasible) after two revisions. Teacher practicality assessment produced 98.33% (very practical), and student responses in small-group and large-group trials reached 94% and 90.35%, respectively (very good). During implementation with 28 seventh-grade students, the mean pretest score increased from 46.07 to 76.79 in the posttest. A paired samples t-test produced t = −13.053 with Sig. (2-tailed) = 0.000 < 0.05, indicating a significant difference in conceptual understanding before and after using the multimedia. The N-Gain score of 0.57 indicated moderate effectiveness in improving learning outcomes. Accordingly, the LokaSains interactive multimedia is considered valid, highly practical, and effective for teaching temperature, heat, and thermal expansion at junior high school level.

This study examines the absence of clear time limits in civil procedural law and its impact on the effectiveness of the principle of simple, fast, and low-cost justice in Indonesia. Normatively, this principle serves as a fundamental guideline in ensuring efficient and accessible dispute resolution. However, in practice, civil proceedings often take a prolonged and complex course, leading to increased costs and legal uncertainty. This research aims to analyze whether the principle has real normative force and how the lack of time constraints in each stage of civil litigation contributes to procedural delays. The study employs a normative legal research method using statutory and conceptual approaches, supported by secondary legal materials. The findings indicate that the absence of strict and binding time limits allows procedural flexibility to be misused, resulting in repeated delays, inefficiency, and case accumulation. Consequently, the principle of simple, fast, and low-cost justice tends to remain declarative rather than operational. The study concludes that the effectiveness of this principle is significantly weakened by the lack of time regulation and suggests the need for reform through time-bound case management, stricter procedural control, and the integration of digital judicial systems to enhance efficiency and legal certainty.

Penelitian ini bertujuan untuk menganalisis hubungan antara frekuensi konsumsi makanan cepat saji dan indeks massa tubuh (BMI) di kalangan siswa SMP Negeri 26 Makassar. Metode kuantitatif dengan desain cross-sectional digunakan. Penelitian ini melibatkan 30 siswa kelas satu yang dipilih melalui purposive sampling berdasarkan kriteria inklusi dan eksklusi. Kriteria inklusi adalah siswa berusia 12–15 tahun yang setuju untuk berpartisipasi, sedangkan kriteria eksklusi meliputi mereka yang memiliki kondisi medis yang memengaruhi berat badan, seperti gangguan endokrin. Data konsumsi makanan cepat saji dikumpulkan menggunakan kuesioner, sedangkan tinggi dan berat badan diukur dengan stadiometer dan timbangan digital untuk menghitung BMI. Analisis statistik dilakukan untuk menguji korelasi antara frekuensi konsumsi makanan cepat saji dan kategori BMI (kurang berat badan, normal, kelebihan berat badan, obesitas). Hasil menunjukkan tidak ada hubungan yang signifikan antara frekuensi konsumsi makanan cepat saji dan BMI (p = 0,795, p > 0,05), menunjukkan bahwa konsumsi makanan cepat saji tidak berhubungan langsung dengan status BMI. Meskipun demikian, faktor lain seperti aktivitas fisik, kebiasaan makan secara keseluruhan, genetika, dan gaya hidup dapat memengaruhi variasi BMI. Meskipun tidak ada korelasi langsung, konsumsi makanan cepat saji yang berlebihan tetap menjadi perhatian karena kandungan kalori, lemak, gula, dan natriumnya yang tinggi dikombinasikan dengan kadar serat yang rendah, yang berpotensi menyebabkan ketidakseimbangan nutrisi jika dikombinasikan dengan perilaku tidak sehat. Studi ini menekankan pentingnya pencegahan obesitas dini pada remaja untuk mengurangi risiko penyakit kronis di masa depan seperti diabetes tipe 2, hipertensi, dan gangguan kardiovaskular.

Bagian Sistem peradilan pidana di Indonesia telah mengalami perubahan substansial sebagai akibat dari kemajuan teknologi informasi, terutama dengan diperkenalkannya Aplikasi Berkas Pidana Elektronik Terpadu (E-Berpadu). Tujuan penerapan sistem peradilan pidana elektronik ini adalah untuk mempromosikan gagasan keadilan yang cepat, mudah, dan terjangkau sekaligus meningkatkan efektivitas, akuntabilitas, dan transparansi proses persidangan. Namun pada kenyataannya, masih terdapat sejumlah masalah hukum, teknologi, dan sumber daya manusia dalam implementasi E-Berpadu di wilayah hukum Pengadilan Tinggi Medan. Tujuan penelitian ini adalah untuk mengatasi tantangan dan keterbatasan tersebut serta menawarkan solusi untuk meningkatkan implementasi sistem perdagangan elektronik.

This study is grounded in the observation that the implementation of an efficient, simple, and low-cost judicial process in civil cases remains ineffective, particularly in relation to mediation as a dispute resolution mechanism. Although mediation has been incorporated into judicial proceedings with the aim of expediting case resolution, simplifying procedural stages, and reducing litigation costs for the parties, these objectives have not been fully realized in practice. This research seeks to examine the extent to which mediation in civil litigation effectively contributes to the realization of an efficient, straightforward, and affordable justice system. In addition, it aims to identify the factors that influence both the success and failure of the mediation process. The study employs a normative legal research method, utilizing statutory and conceptual approaches. The research is conducted through a literature review of primary and secondary legal materials. The findings indicate that the implementation of mediation in civil courts has not yet reached an optimal level. This is reflected in the relatively low success rate of dispute resolution through mediation, as well as the tendency for mediation to be treated merely as a procedural formality. Several contributing factors include the lack of good faith from the parties, limited time allocated for mediation, and the suboptimal role of mediators.

Peningkatan kasus gangguan kardiovaskular menuntut adanya sistem pemantauan detak jantung yang tidak hanya akurat, tetapi juga mampu memberikan respons cepat terhadap kondisi abnormal. Penelitian ini bertujuan mengembangkan sistem pemantauan detak jantung berbasis Internet of Things (IoT) yang terintegrasi dengan algoritma Extreme Gradient Boosting (XGBoost) untuk mendeteksi pola detak jantung abnormal secara real-time serta memicu respons otomatis melalui Miniature Medical Car. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan metode simulasi, di mana data denyut jantung dikumpulkan menggunakan Pulse Armband berbasis ESP32-C3 Mini dan sensor MAX30102, kemudian dikirim ke server untuk diproses melalui pipeline data mining. Dataset penelitian terdiri dari 800 sampel yang dibagi menjadi kelas normal dan abnormal, kemudian diolah menjadi 14 fitur statistik dan variabilitas detak jantung untuk proses pelatihan model. Hasil penelitian menunjukkan bahwa model XGBoost mencapai akurasi 94%, precision 93,3%, recall 93,3%, F1-score 0,933, serta ROC-AUC 0,96, yang mengindikasikan kinerja tinggi dalam membedakan pola detak jantung normal dan abnormal. Integrasi model dengan miniature car memungkinkan sistem memberikan respons fisik secara otomatis saat mendeteksi kondisi berisiko. Kontribusi penelitian ini mencakup pengembangan sistem IoT–ML real-time yang efisien, penggunaan fitur statistik ringkas untuk data fisiologis, serta implementasi respons berbasis robotik. Implikasi penelitian membuka peluang penerapan pada sistem monitoring medis jarak jauh, lingkungan publik, maupun perangkat asistif berbiaya rendah.

Perkembangan teknologi informasi mendorong perusahaan untuk memanfaatkan sistem informasi terkomputerisasi guna meningkatkan efisiensi dan efektivitas operasional. Salah satu permasalahan yang masih sering dihadapi adalah pengelolaan data inventaris yang belum terintegrasi, sehingga menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data dengan kondisi aktual. PT. Mitracomm Ekasarana, khususnya unit Mitracomm Ekasarana Business Process Services (MBPS), masih menggunakan sistem pencatatan inventaris berbasis spreadsheet yang belum terpusat dan terintegrasi, sehingga menyulitkan proses pencarian data dan pengelolaan stok perangkat. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Inventaris Berbasis Web yang mampu membantu pengelolaan data inventaris secara lebih akurat, terstruktur, dan efisien. Metode pengembangan yang digunakan adalah Rapid Application Development (RAD), yang memungkinkan proses pengembangan sistem dilakukan secara cepat melalui tahapan iteratif. Sistem yang dihasilkan diharapkan dapat mempermudah proses pencatatan perangkat, pengelolaan stok, serta penyajian laporan inventaris secara real-time. Dengan diterapkannya sistem ini, diharapkan dapat meningkatkan efisiensi kerja, meminimalkan kesalahan pencatatan, serta mendukung pengambilan keputusan manajemen secara lebih efektif.