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Education and Training on Making Probiotic Drinks to Help Improve Health and Immunity in Bantarsari Village Wulandari, Asri; Wulandari, Cyntia; Nurhikmah, Wilda; Koniah, Eni; Tri Retno, Marybet; Permanasari, Anna; Oktaviani, Emy; Herlina, Nina; Ashura Rizkiyani, Nanda
Jurnal Pengabdian Masyarakat Inovatif Vol. 1 No. 1 (2023): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v1i1.55

Infectious diseases are still a global problem, including in Indonesia. Immunity is an important factor in preventing infectious diseases. Probiotics are living organisms that are able to provide beneficial effects for maintaining health, namely being able to maintain the health of the digestive tract so that the body's immunity becomes better. The purpose of this community service is to provide information and increase knowledge about the role of probiotics in helping improve health and body immunity to mothers who live in Bantarsari Village, Rancabungur District, Bogor Regency. The method used is initial pretest followed by providing education about probiotics, giving brochures about probiotics, demonstrating the manufacture of probiotics and closing with post test to see the final ability of the participants. The result of the community service activity is an increase in the knowledge of the participant mothers about the importance of probiotics, types of probiotics and an increase in the ability to make probiotic drinks. The activity went well and was attended by the target group community and followed by village officials.

Introduction to Safe and Appropriate Cosmetics for Teenagers Vocational School Honifa; Wulandari, Asri; Fatmi, Mindiya; Handayani, Marybet Tri Retno; Nurhikmah, Wilda
Jurnal Pengabdian Masyarakat Inovatif Vol. 2 No. 1 (2024): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v2i1.82

Cosmetics are beauty products intended for use on the skin, hair, nails, lips, external genital organs, teeth, and oral mucosa. Knowledge about choosing the right cosmetics is necessary because many people make mistakes in determining the type of cosmetics to use, the types of ingredients used, and cosmetic rules. One step to increase awareness of safe ingredients and the use of cosmetics is to provide education through the university's education, research, and community service activities, namely Community Service. especially among teenagers. This activity aims to provide outreach on how to choose safe and appropriate cosmetics for teenagers and provide education on how to report side effects from using cosmetics to BPOM. In community service activities, the method used is to provide material using a lecture method, followed by discussion and questions and answers. Questions asked for pre and post-test are the same, namely the definition of cosmetics, the purpose of using cosmetics, how to store cosmetics, how to use cosmetics safely, how to choose to buy cosmetics from the marketplace, Knowing Dangerous Cosmetic Ingredients, Seeing Cosmetic ED, How to Store Cosmetics and regarding if you experience irritation/ side effects from cosmetic preparations, then the last order that was carried out after providing the material was that residents' knowledge increased when they filled out the same questionnaire again and was quite different compared to before. Like Knowledge of the meaning of cosmetics education who knew the meaning of cosmetics was 10 people or 45.4% after education increased to 19 people or 86.4% and for other questions there was an increase after providing the material. It can be said that the Community Service Activities that have been carried out can broaden the knowledge of teenagers.

Education and Training on Making Probiotic Drinks to Help Improve Health and Immunity in Bantarsari Village Wulandari, Asri; Wulandari, Cyntia; Nurhikmah, Wilda; Koniah, Eni; Tri Retno, Marybet; Permanasari, Anna; Oktaviani, Emy; Herlina, Nina; Ashura Rizkiyani, Nanda
Jurnal Pengabdian Masyarakat Inovatif Vol. 1 No. 1 (2023): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v1i1.55

Infectious diseases are still a global problem, including in Indonesia. Immunity is an important factor in preventing infectious diseases. Probiotics are living organisms that are able to provide beneficial effects for maintaining health, namely being able to maintain the health of the digestive tract so that the body's immunity becomes better. The purpose of this community service is to provide information and increase knowledge about the role of probiotics in helping improve health and body immunity to mothers who live in Bantarsari Village, Rancabungur District, Bogor Regency. The method used is initial pretest followed by providing education about probiotics, giving brochures about probiotics, demonstrating the manufacture of probiotics and closing with post test to see the final ability of the participants. The result of the community service activity is an increase in the knowledge of the participant mothers about the importance of probiotics, types of probiotics and an increase in the ability to make probiotic drinks. The activity went well and was attended by the target group community and followed by village officials.

Introduction to Safe and Appropriate Cosmetics for Teenagers Vocational School Honifa; Wulandari, Asri; Fatmi, Mindiya; Handayani, Marybet Tri Retno; Nurhikmah, Wilda
Jurnal Pengabdian Masyarakat Inovatif Vol. 2 No. 1 (2024): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v2i1.82

Cosmetics are beauty products intended for use on the skin, hair, nails, lips, external genital organs, teeth, and oral mucosa. Knowledge about choosing the right cosmetics is necessary because many people make mistakes in determining the type of cosmetics to use, the types of ingredients used, and cosmetic rules. One step to increase awareness of safe ingredients and the use of cosmetics is to provide education through the university's education, research, and community service activities, namely Community Service. especially among teenagers. This activity aims to provide outreach on how to choose safe and appropriate cosmetics for teenagers and provide education on how to report side effects from using cosmetics to BPOM. In community service activities, the method used is to provide material using a lecture method, followed by discussion and questions and answers. Questions asked for pre and post-test are the same, namely the definition of cosmetics, the purpose of using cosmetics, how to store cosmetics, how to use cosmetics safely, how to choose to buy cosmetics from the marketplace, Knowing Dangerous Cosmetic Ingredients, Seeing Cosmetic ED, How to Store Cosmetics and regarding if you experience irritation/ side effects from cosmetic preparations, then the last order that was carried out after providing the material was that residents' knowledge increased when they filled out the same questionnaire again and was quite different compared to before. Like Knowledge of the meaning of cosmetics education who knew the meaning of cosmetics was 10 people or 45.4% after education increased to 19 people or 86.4% and for other questions there was an increase after providing the material. It can be said that the Community Service Activities that have been carried out can broaden the knowledge of teenagers.

Rancang Bangun Sistem Informasi Jalur Feeder untuk Mendukung Penanganan Fiber Cut pada Jaringan FTTH Mutiara Putri, Adinda; Wulandari, Asri; Damar Hayyu Raharjo
Elektrika Vol. 17 No. 2 (2025): Oktober 2025
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v17i2.12563

FTTH (Fiber to the Home) is a fiber optic-based telecommunication network technology that provides direct internet services to customers' homes. One of the challenges in its implementation is the occurrence of disruptions caused by fiber cuts, which affect service quality. This study designs a feeder route information system using an interactive map to facilitate the identification process of affected feeder lines and customers. The system is developed using the Laravel and React.js frameworks, and utilizes Leaflet as a mapping library based on OpenStreetMap. System development follows the waterfall method, consisting of the stages: requirement, design, implementation, verification, and maintenance. The testing results of the feeder route visualization system and blast message feature indicate that the system has been successfully implemented and meets all functional criteria. Website testing was conducted based on three aspects: functional suitability, usability, and performance efficiency. The functional suitability aspect showed a feasibility rate of 100%, usability testing using the SUS method yielded an average score of 81 categorized as excellent, and performance efficiency testing produced an average score of 94%, classified as grade A. Therefore, this system is well-accepted and considered efficient in supporting the handling of fiber optic network disruptions. Keywords: Fiber Optic; Fiber to the Home; Information System; Laravel; Leaflet ABSTRAK FTTH (Fiber to the Home) merupakan teknologi jaringan telekomunikasi berbasis fiber optik yang menyediakan layanan internet langsung ke rumah pelanggan. Salah satu tantangan dalam implementasinya adalah gangguan akibat terputusnya kabel (fiber cut) yang berdampak pada kualitas layanan. Penelitian ini merancang sistem informasi jalur feeder melalui peta interaktif untuk mempermudah proses identifikasi jalur feeder dan pelanggan yang terdampak oleh gangguan. Sistem ini dikembangkan menggunakan framework Laravel dan React.js, serta menggunakan Leaflet sebagai library pemetaan berbasis OpenStreetMap. Pengembangan sistem menggunakan metode waterfall dengan tahapan requirement, design, implementation, verification, dan maintenance. Hasil pengujian pada sistem visualisasi jalur feeder dan sistem blast message menunjukkan bahwa sistem telah berhasil dijalankan dengan baik dan memenuhi seluruh kriteria fungsional. Pengujian website dilakukan melalui 3 aspek, yaitu aspek functional suitability, usability, dan performance efficiency. Hasil aspek functional suitability menunjukkan sistem memiliki tingkat kelayakan sebesar 100%, pengujian usability menggunakan metode SUS menghasilkan skor rata-rata 81 yang termasuk dalam kategori excellent, dan pengujian performance efficiency memiliki nilai rata-rata 94% yang termasuk dalam grade A. Dengan demikian, sistem ini dapat diterima dengan baik dan dinilai efisien untuk mendukung penanganan gangguan jaringan fiber optik.

PERANCANGAN SISTEM OTOMASI PEMETAAN PERANGKAT ACTIVE DAN PASSIVE NETWORK PADA INFRASTRUKTUR FTTH Sirajudin, Alviana; Wulandari, Asri; Akbar, Muhammad Ilham
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3S1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3S1.7582

Perkembangan pesat teknologi informasi dan telekomunikasi mendorong kebutuhan akan infrastruktur FTTH (Fiber To The Home) yang mampu menyediakan bandwidth tinggi dan akses internet cepat. Namun, perancangan FTTH secara manual seringkali tidak efisien, memakan waktu, dan menghasilkan inkonsistensi. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan merancang sistem otomasi pemetaan perangkat aktif dan pasif pada infrastruktur FTTH, meliputi OLT (Optical Line Termination), ODC (Optical Distribution Cabinet), ODP (Optical Distribution Point), dan tiang. Metode penelitian melibatkan studi literatur, implementasi sistem menggunakan bahasa pemrograman Python dengan pustaka seperti Pandas, GeoPandas, OSMnx, dan NetworkX, serta penerapan Algoritma Dijkstra untuk pencarian rute terpendek. Sistem ini juga dilengkapi dengan platform berbasis web untuk manajemen proyek yang efisien. Pengujian sistem dilakukan melalui wawancara dengan ahli, sementara pengujian fungsionalitas website menggunakan metode functional suitability. Hasil penelitian menunjukkan bahwa sistem otomasi pemetaan FTTH yang dirancang mampu meningkatkan efisiensi waktu, akurasi penempatan perangkat, dan deteksi bangunan secara signifikan dibandingkan metode manual. Website yang dikembangkan juga mencapai tingkat kelayakan fungsional 100%, menunjukkan bahwa seluruh fitur memenuhi kebutuhan pengguna. Dengan demikian, sistem ini berhasil meningkatkan efektivitas proses perencanaan jaringan FTTH dan menyediakan solusi komprehensif untuk manajemen proyek.

CNNs vs. Hybrid Transformers for Brain Tumor Classification on the BRISC Dataset Thahiruddin, Muhammad; Wulandari, Asri
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 6 No 1 (2025): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM)
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v6i1.3545

Accurate and timely classification of brain tumors from Magnetic Resonance Imaging (MRI) is critical for effective treatment planning. The advent of deep learning has revolutionized medical image analysis, yet the performance of different model architectures is highly dependent on the quality of benchmark datasets and the specifics of the training methodology. This study presents a rigorous comparative analysis of four prominent deep learning architectures—ResNet18, EfficientNet-B0, MobileNetV3-Small, and the hybrid convolutional-transformer model MobileViTV2-100—for multi-class brain tumor classification. The models were trained and evaluated on the BRISC dataset, a large-scale, balanced collection of 6,000 T1-weighted contrast-enhanced MRI scans, comprising glioma, meningioma, pituitary, and no-tumor classes. Employing a 5-fold cross-validation protocol with a full fine-tuning strategy and robust regularization techniques, this study assesses models on both classification accuracy and computational efficiency. The results indicate that MobileViTV2-100, ResNet18, and EfficientNet-B0 achieve statistically comparable state-of-the-art performance, with mean test accuracies of 98.88%, 98.72%, and 98.72%, respectively. MobileNetV3-Small, while being the most parameter-efficient, demonstrated significantly lower accuracy at 96.94%. A key finding reveals a performance-efficiency paradox, where the largest model, ResNet18, exhibited the fastest inference latency (2.83 ms), challenging the conventional assumption that fewer parameters directly translate to greater speed. This comprehensive analysis underscores the strengths of hybrid architectures and provides critical insights into the practical trade-offs between model complexity, accuracy, and real-world deploy ability for clinical decision support systems.

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