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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer MIND (Multimedia Artificial Intelligent Networking Database) Journal Journal of Electrical Engineering and Computer (JEECOM) Jurnal Pengabdian Masyarakat Bangsa International Journal of Healthcare and Information Technology Science and Technology: Jurnal Pengabdian Masyarakat The International Journal of Studies in Social Sciences and Humanities (IJOSSH)
Yuana, Dia Bitari Mei
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Sarana Pelaporan Angka Bebas Jentik dan Deteksi Jentik Nyamuk menggunakan Deep Learning YUANA, DIA BITARI MEI; AGASTA, IRA AMELIA; SAPUTRO, MUHAMMAD ADI; ROHMAH, ETIK AINUN
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 1 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i1.89-98

Abstract

AbstrakDemam Berdarah Dengue (DBD) masih menjadi masalah kesehatan utama di Indonesia. Kabupaten Jember mencatat 1.627 kasus pada tahun 2024, dengan Angka Bebas Jentik (ABJ) hanya mencapai rata-rata 92%, di bawah standar nasional >95%. Penelitian ini mengembangkan sistem deteksi jentik nyamuk otomatis menggunakan metode Deep Learning berbasis CNN dan GRU. Fitur visual diekstraksi melalui model InceptionV3, kemudian dianalisis secara sekuensial oleh GRU untuk klasifikasi larva. Hasil menunjukkan model mencapai akurasi pelatihan dan pengujian dengan performa optimal pada epoch ke-20 sebesar 99.19%, loss 0.0419. Jika dibandingkan dengan metode sebelumnya (AOA) yang hanya mencapai 84%, pendekatan ini terbukti lebih akurat dan tahan terhadap variasi kondisi data.Kata kunci: Demam Berdarah Dengue, Aedes aegypti, Angka Bebas Jentik, Deep Learning, Gated Recurrent Unit, Deteksi OtomatisAbstractDengue Hemorrhagic Fever (DHF) remains a major public health issue in Indonesia. In 2024, Jember Regency recorded 1,627 cases, with the Larvae Free Index (LFI) averaging only 92%, below the national standard of >95%. This study developed an automatic mosquito larvae detection system using a Deep Learning approach based on CNN and GRU. Visual features were extracted using the InceptionV3 model and then analyzed sequentially by the GRU for larval classification. The results showed that the model achieved optimal training and testing performance at the 20th epoch with 99.19% accuracy and a loss of 0.0419. Compared to the previous method AOA, which achieved only 84% accuracy, this approach proved to be more accurate and robust against variations in data conditions.Keywords: Dengue Hemorrhagic Fever, Aedes aegypti, Larvae-Free Rate, Deep Learning, Gated Recurrent Unit, Automated Detection
Designing Board Games to Educate Female Sex Workers on Sexually Transmitted Infection Using The ADDIE Model Kartika, Ria Chandra; Setyowati, Lisus; Hikmah, Faiqatul; Satya, Malinda Capri Nurul; Yuana, Dia Bitari Mei; Khamid, M. Nur
International Journal of Healthcare and Information Technology Vol. 3 No. 1 (2025): July
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v3i1.5748

Abstract

Infectious disorders known as sexually transmitted infections (STIs) are spread through sexual contact. Female sex workers (FSWs) are particularly vulnerable to STIs. As of right now, FSWs' STI prevention practices are still insufficient. This is brought on by ignorance of STIs and failure to use condoms during sexual activity. This study's goal is to use the ADDIE Model to create a board game that educates female sex workers about sexually transmitted infections; Methods:  This research employed a research and development (R&D) approach utilizing the ADDIE model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. In the analysis stage, needs assessment was conducted to determine gaps in existing STI health promotion efforts. In the design stage, a board game concept was created tailored to FSW characteristics. During development, the board game was produced and subjected to feasibility testing for both media and content. The implementation stage involved a media trial with selected participants, and the evaluation stage focused on assessing the practicality and effectiveness of the game; Results: The analysis showed that FSWs had limited knowledge of STIs, and existing health promotion methods were not sufficiently interactive or engaging. The developed board game achieved a media feasibility score of 92% and a content feasibility score of 85%, indicating high practicality without the need for major revisions. During the implementation phase, 15 FSWs participated in a trial, with 93% reporting the game was practical and engaging; Conclusions: The conclusion of this study is that using board games as a health promotion medium is very feasible for FSW to increase their knowledge about STIs because they are more interactive, enjoyable, new, and the information is relevant to what FSWs need to know.
Introduksi Mesin Huller dan Pengering Kopi Tipe Kabinet untuk Meningkatkan Produktivitas Green Bean pada Kelompok Tani Sumber Kembang Faizin, Nur; Ardhiarisca, Oryza; Lestari, Datik; Yuana, Dia Bitari Mei; Putra, Rediyanto; Herdianto, Tito Rizky; Reyhan, Rio Javier; Hanip, Muhammad; Ulumiddin, Mukhammad Ikhya’; Ilyasa, Dhani Mas Ahmad
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 3 (2025): Mei
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i3.2336

Abstract

Kegiatan pengabdian ini telah selesai dan berhasil mengatasi permasalahan yang dihadapi oleh Kelompok Tani Kopi Sumber Kembang. Permasalahan yang dihadapi oleh mitra berkaitan dengan masalah produksi yakni mesin pengupas kulit kopi (huller) yang tersedia sudah tidak bekerja dengan optimal baik dari segi kualitas dan kuantitas. Selain itu masih terdapat permasalahan limbah yakni kulit kopi yang menjadi pencemaran lingkungan. Oleh karena itu pada kegiatan pengabdian ini, tim telah memberikan mesin huller dan mesin pengering kopi yang dilengkapi dengan edukasi / pelatihan penggunaan peralatan agar dapat meningkatkan kapabilitas mitra. Metode yang digunakan adalah survei lapang, praktek, dan diskusi. Kegiatan pengabdian ini telah berjalan dengan lancar dan terjadi peningkatan kapabilitas mitra serta peningkatan kuantitas dan kualitas produksi mitra.
An Intelligent Fuzzy Logic-Controlled IoT System for Efficient Hydroponic Plant Monitoring and Automation Kurniasari, Arvita Agus; Puspitasari, Pramuditha Shinta Dewi; Perdanasari, Lukie; Yuana, Dia Bitari Mei; Jumiatun, Jumiatun
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1475

Abstract

This paper addresses the challenges of optimizing environmental conditions in hydroponic farming by integrating an Intelligent Fuzzy Logic-Controlled IoT System. The research problem lies in the inefficiency of traditional hydroponic monitoring systems, particularly in maintaining ideal conditions for plant growth while minimizing resource waste. This study aims to develop a system that leverages IoT technology and fuzzy logic to monitor and automate hydroponic processes more efficiently. Using sensors, the system continuously tracks key environmental parameters such as temperature, humidity, soil moisture, pH levels, and total dissolved solids (TDS). A fuzzy logic controller (FLC) triggers actions based on predefined rules. During testing, the system showed effective performance—for example, activating fans when temperature (31.2°C) and humidity (60%) indicated a need for cooling, and adjusting nutrient levels when pH (5.8) and TDS (450 ppm) were suboptimal. The system offers practical benefits through real-time adaptation using defuzzification and aggregation, ensuring precise resource control, improving efficiency, and reducing waste. This study highlights the system's potential to support sustainable agriculture by providing scalable solutions that enhance plant growth and optimize resource use, especially for small-scale farmers and urban farming initiatives.
Pengaruh Latihan Sepeda Virtual Terhadap Sensori-Motor Ekstremitas Bawah Pasien Pasca Stroke Lesmana, I Putu Dody; Yuana, Dia Bitari Mei; Mukhlisoh, Nanik Anita; Widiawan, Beni; Hakim, Lukman; Suryana, Arinda Lironika
Journal of Electrical Engineering and Computer (JEECOM) Vol 5, No 2 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v5i2.6911

Abstract

Defisit neurologis yang sering didapati pasca stroke adalah penurunan fungsi sensorik dan motorik. Terapi rehabilitasi yang tepat akan memberikan pemulihan sensori motor yang optimal. Fisioterapi menggunakan modalitas latihan motorik berupa latihan sepeda virtual merupakan salah satu pilihan program rehabilitasi. Jenis latihan ini dapat memperbaiki fungsi keseimbangan dan koordinasi ekstrimitas bawah. Tujuan penelitian ini untuk mengetahui pengaruh latihan sepeda berbasis Virtual Reality Augmented Cycling (VRAC) terhadap respon sensorimotor pasien pasca stroke kronis.Rancangan penelitian adalah quasi experimental dengan post test only control group design. Subyek penelitian sebanyak 15 orang terbagi dalam dua kelompok yaitu 8 orang pasien pasca stroke dan 7 orang kontrol sehat, diambil secara purposive sampling dan telah memenuhi kriteria inklusi. Semua subyek mengikuti program latihan sepeda virtual 2 kali dalam seminggu selama 3 bulan di Poli Rehabilitasi Medik RSD Kalisat Jember. Respon sensorimotor diukur dari kecepatan kayuhan (RPM) dengan tiga lintasan. Data dideskripsikan dalam bentuk mean±SD dan dianalisis uji independent T-Test menggunakan SPSS V.22.0.Rata-rata kecepatan kayuhan pasien pasca stroke meningkat tiap minggu selama latihan. Terdapat perbedaan kayuhan pedal pada lintasan lebar, lintasan lebar berpenghalang dan lintasan sempit yang signifikan antara pasien pasca stroke dengan kontrol (p<0,001).Simpulan: Latihan sepeda virtual dapat memperbaiki sensorimotor pasien pasca stroke kronis.
Analysis of Coffee Business Development Strategy in the Sumber Kembang Farmer Group Using the SWOT Method to Achieve Global Competitiveness Ardhiarisca, Oryza; Faizin, Nur; Putra, Rediyanto; Yuana, Dia Bitari Mei; Lestari, Datik
International Journal of Studies in Social Sciences and Humanities (IJOSSH) Vol. 1 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijossh.v1i2.5549

Abstract

Coffee cultivation plays a pivotal role in global agricultural trade, offering cultural, economic, and social value that transcends borders. In Indonesia, particularly in Jember Regency, coffee stands out as a leading agricultural product, supporting local economies and contributing significantly to global coffee exports. Within this context, the Sumber Kembang Farmer Group cultivates and processes coffee, offering a diverse range of products, including coffee logs and ground coffee, derived from both Robusta and Arabica varieties and processed through various methods. This research aims to identify optimal strategies for developing the group's coffee business. A case study approach was employed, with data collected through interviews, observations, and a literature review. The analysis used several strategic tools, including the Internal Factor Evaluation (IFE) Matrix, External Factor Evaluation (EFE) Matrix, Internal-External (IE) Matrix, SWOT (Strengths, Weaknesses, Opportunities, Threats) Matrix, and Quantitative Strategic Planning Matrix (QSPM). The findings reveal that the coffee enterprise of the Sumber Kembang Farmer Group is positioned in quadrant IV of the IE matrix, indicating a Growth and Build strategy. This positioning underscores the need for an extensive and integrative approach encompassing six strategic components. Prioritizing the improvement of product marketing quality is identified as a critical step toward achieving business development goals.
Implementasi Aplikasi Mobile Sensing Jentik untuk Optimalisasi Pendataan Angka Bebas Jentik oleh Kader Jumantik di Kabupaten Jember Yuana, Dia Bitari Mei; Agasta , Ira Amelia; Saputro , Muhammad Adi; Sulistyaningsih , Eka; Sesulihatien , Wahjoe Tjatur; Rohmah , Etik Ainun
Science and Technology: Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2025): Available online
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/scitec.v2i4.551

Abstract

Demam Berdarah Dengue (DBD) merupakan salah satu masalah kesehatan utama di Indonesia, termasuk di Kabupaten Jember yang menempati peringkat ketiga kasus tertinggi di Jawa Timur. Salah satu indikator pengendalian DBD adalah Angka Bebas Jentik (ABJ), namun capaian ABJ Jember pada tahun 2024 hanya 92%, masih di bawah standar nasional >95%. Pendataan manual yang dilakukan kader jumantik dinilai kurang efektif karena membutuhkan waktu lama, rawan kesalahan, dan sering terlambat dijadikan dasar kebijakan. Program pengabdian masyarakat ini mengimplementasikan aplikasi mobile sensing “SI Jentik” di Posyandu Alamanda 86, Kecamatan Patrang, dengan melibatkan Kader Jumantik Jember Hebat (JJH), Puskesmas Patrang, dan Dinas Kesehatan Kabupaten Jember. Metode kegiatan meliputi sosialisasi, pelatihan, implementasi, serta monitoring dan evaluasi. Hasil implementasi menunjukkan kader mampu memanfaatkan aplikasi untuk pemeriksaan jentik dan pelaporan ABJ secara real-time, dengan total 50 laporan terkumpul selama uji coba. Dibandingkan metode manual, aplikasi ini terbukti meningkatkan kecepatan, akurasi, serta mengurangi kesalahan pelaporan. Survei kepuasan mitra menunjukkan mayoritas kader menilai aplikasi mudah digunakan dan membantu tugas rutin mereka. Kendala utama yang ditemui adalah variasi literasi digital kader, keterbatasan perangkat, dan akses internet yang belum stabil. Secara keseluruhan, penerapan aplikasi SI Jentik efektif mendukung optimalisasi pengendalian vektor DBD di tingkat masyarakat dan berpotensi untuk diintegrasikan ke dalam sistem informasi kesehatan daerah.
Co-Authors Agasta , Ira Amelia AGASTA, IRA AMELIA Arvita Agus Kurniasari Beni Widiawan, Beni Datik Lestari Hanip, Muhammad Herdianto, Tito Rizky Hikmah, Faiqatul I Putu Dody Lesmana Ilyasa, Dhani Mas Ahmad Jumiatun Jumiatun, Jumiatun Kartika, Ria Chandra Lukman Hakim M. Nur Khamid Muhammad Adi Saputro Mukhlisoh, Nanik Anita Nur Faizin Oryza Ardhiarisca Perdanasari, Lukie Puspitasari, Pramuditha Shinta Dewi Rediyanto Putra Reyhan, Rio Javier Rohmah , Etik Ainun Rohmah, Etik Ainun Saputro , Muhammad Adi Satya, Malinda Capri Nurul Sesulihatien , Wahjoe Tjatur Setyowati, Lisus Sulistyaningsih , Eka Suryana, Arinda Lironika Ulumiddin, Mukhammad Ikhya’