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All Journal Jurnal Neutrino : jurnal fisika dan aplikasinya Jurnal Pendidikan Fisika Indonesia Jurnal Spektra Jurnal SOLMA Spektra: Jurnal Fisika dan Aplikasinya Manuju : Malahayati Nursing Journal JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Abdi Masyarakat Indonesia PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Journal of Global Pharma Technology Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of The Physical Society of Indonesia
Umiatin, Umiatin
Program Studi Fisika, FMIPA, Universitas Negeri Jakarta, Indonesia
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Other

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PENGEMBANGAN E-LKPD BERBANTUAN LIVEWORKSHEETS DENGAN MODEL POE (PREDICT-OBSERVE-EXPLAIN) PADA MATERI TEORI KINETIK GAS UNTUK MELATIH KETERAMPILAN BERPIKIR TINGKAT TINGGI Putria, Sarah Febriyana; Nasbey, Hadi; Umiatin, Umiatin
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 12 (2024): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2023
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1201.PF41

Abstract

Abstrak Penelitian ini bertujuan untuk mengembangkan E-LKPD berbantuan Liveworksheets dengan model POE (Predict-Observe-Explain) pada materi teori kinetik gas untuk melatih keterampilan berpikir tingkat tinggi peserta didik SMA kelas XI. Metode yang digunakan dalam penelitian ini adalah R&D (Research and Development) dengan model Dick & Carey. Tahapan prosedur dalam model Dick & Carey terdiri dari sepuluh tahap yang dapat membantu peserta didik mengalami proses pembelajaran secara sistematis. Penilaian kelayakan lembar kerja siswa ini menggunakan instrumen skala Likert. Kata-kata kunci: E-LKPD, Liveworksheets, POE, Keterampilan Berpikir Tingkat Tinggi. Abstract This research was conducted to develop E-LKPD assisted by Liveworksheets with POE (Predict-Observe-Explain) model on gas kinetic theory material to train high level thinking skills of class XI high school students. The method used in this research is R&D (Research and Development) with the Dick & Carey model. The stages of the procedure in the Dick & Carey model consist of ten stages that can help students experience the learning process systematically. The feasibility assessment of this student worksheet uses a Likert scale instrument. Keywords: E-LKPD, Liveworksheets, POE, Higher Order Thinking Skills.
Pedampingan Kader dalam Pembuatan Pemberian Makanan Tambahan (PMT) Yoghurt untuk Pencegahan Stunting di Posyandu Cempaka Kelurahan Larangan Selatan Kota Tengerang Kartika, Irma; Umiatin, Umiatin; Kurniadewi, Fera; Nurhayadi, Muktiningsih; Hadi Nugrahaningsih, Tritiyatma; Istantia Chantika, Kinanti; Septiani, Elsa; Nurul Fadillah Octaviany, Sheila; Bunga Falana, Isfasona; Putri Fajriani, Fathya; Aulia Rachma, Lu'luunnisa
Jurnal SOLMA Vol. 14 No. 1 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i1.15981

Abstract

Latar Belakang: Penurunan angka stunting di Indonesia dari 27,7% menjadi 21,6% terjadi di tahun 2022. Namun, nilai tersebut masih diatas ambang batas yang ditetapkan oleh WHO yaitu dibawah 20%. Oleh karena itu, perlu adanya kegiatan untuk meningkatan pemahaman, keterampilan, dan kreativitas kader Posyandu mengenai pencegahan stunting dalam pemenuhan gizi ibu hamil dan bayi melalui pembuatan yoghurt sederhana dan mudah, karena yoghurt menjadi salah satu makanan sumber protein tinggi. Metode: Pendampingan pembuatan yoghurt telah dilakukan oleh tim PkM KKN UNJ kepada kader Posyandu Cempaka, Kelurahan Larangan Selatan, Kecamatan Larangan, Kota Tangerang. Terdapat tiga tahap pelaksanaan yaitu (1) sosialisasi informasi; (2) pelaksanaan pedampingan; dan (3) evaluasi. Hasil: Semua peserta mitra sangat bersemangat dan memiliki antusiasme tinggi selama kegiatan berlangsung. Berdasarkan hasil angket umpan balik kegiatan, peserta mitra memperoleh wawasan dan pengetahuan baru (55,56%), serta informasi dan pengetahuan tentang yoghurt akan peserta mitra berikan dan sampaikan kepada masyarakat sekitar lingkungannya (88,89%). Kesimpulan: Kader Posyandu Cempaka Kelurahan Larangan Selatan Kota Tengerang memperoleh ilmu baru tentang pembuatan yoghurt sehat, mudah dan sederhana serta peserta mitra berkomitmen untuk berbagi ilmu kepada masyarakat sekitarnya dalam rangka pencegahan stunting.  
Telemedicine and AI in Remote Prediabetes Monitoring Among Adolescents Solechah, Siti Aisyah; Saputro, Setyo Wahyu; Adini, Muhammad Hifdzi; Faisal, Mohammad Reza; Kurniawan, Erick; Umiatin, Umiatin
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 1 (2026): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i1.283

Abstract

The escalating prevalence of prediabetes in Indonesia, particularly among children and adolescents, necessitates the development of lightweight, adaptable, and cost-effective telemedicine solutions for the noninvasive monitoring of blood glucose levels. Existing systems predominantly employ machine learning and deep learning approaches that require substantial computational resources and stable internet connectivity, limiting their applicability in regions with constrained digital infrastructure. The objective of this study is to develop an artificial intelligence (AI)–driven telemedicine system that employs an expert system to determine prediabetes status by utilizing commercially available smartwatches as noninvasive optical sensors. The methodological approach includes an examination of smartwatch capabilities to identify Bluetooth Low Energy (BLE) sensors, service architectures, and the Generic Attribute Profile (GATT); the development of a Rule-Based Reasoning (RBR) expert system to determine prediabetes status using Fasting Plasma Glucose (FPG) and Postprandial Plasma Glucose (PP2) measurements; and the application of Rapid Application Development (RAD) methods in the development of Flutter-based mobile applications and Laravel Inertia Vue–based web applications. The results of this study demonstrate that the telemedicine system operates in both offline and online modes and incorporates AI functionality on mobile devices and servers without requiring extensive computational resources. All system functionalities successfully passed testing, and the expert system achieved 100% accuracy in determining prediabetes status. In conclusion, the integration of telemedicine and AI-based expert systems provides an effective, economical, and flexible solution that can be widely implemented in Indonesia to reduce the increasing incidence of prediabetes through continuous digital health monitoring.
Development of Health Kiosk Prototype for Blood Pressure and Fat Mass Measurement Umiatin, Umiatin; Putri, Pinkan Amanda; Purwalaksana, Ahmad Zatnika; Al Farizy, Firnas; Nurdin, Muhammad; Purnama, Bedy; Ifa, Rista Putri Nur; Abidin, Muhammad
Journal of the Physical Society of Indonesia Vol. 1 No. 2 (2025): October 2025
Publisher : The Physical Society of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35895/jpsi.1.2.76-86.2025

Abstract

Health development in Indonesia faces a double burden of disease, namely infectious and non-communicable diseases (NCDs), with cardiovascular diseases (CVDs) accounting for nearly half of NCD-related deaths. Major CVD risk factors are hypertension and obesity, which can be controlled through routine monitoring of blood pressure and body mass index (BMI). This study aims to develop a health kiosk prototype integrating a sphygmomanometer and BMI–fat analyzer. The research consists of three stages: characterization of sensors for blood pressure and body fat measurement, comparison of proximity sensors, and prototype testing. The MPX5050GP pressure sensor achieved an R² of 1 with a sensitivity of 0.012 volts. Proximity sensor characterization showed R² values of 0.9996 (HC-SR04) and 0.9997 (JSN-SR04T), with sensitivities of 0.9943 cm and 0.9831 cm, respectively. The load cell reached an R² of 1 with a sensitivity of 1.0056 kg, while the AD5933 impedance showed R² = 1 and a sensitivity of 0.9999 Ω. Prototype trials with ten samples indicated that blood pressure, BMI, and fat mass measurements were feasible but not yet optimal, with errors in height measurement and limitations in the blood pressure algorithm. Despite these challenges, the successful integration of the sphygmomanometer and BMI–fat analyzer was achieved.
Co-Authors Abidin, Muhammad Adini, Muhammad Hifdzi Ahmad Zatnika Purwalaksana, Ahmad Zatnika Al Farizy, Firnas Aldaciptarisa, Aldaciptarisa Aulia Rachma, Lu'luunnisa Bedy Purnama Bestari Laksmi Arafahnti Bunga Falana, Isfasona Cecep E Rustana Danang Trihatmoko, Danang Delila Septiani Dwi Putri Desnita Dwi Anita Suryandari Endang Wijaya Erick Kurniawan Erlina Erlina Erlina Erlina Esmar Budi Esmar Budi Esmar Budi Esmar Budi Fadli Handoyo Farhan Yusuf Fariani Hermin Febrian Zulmi Firmanul Catur Wibowo Fitri Sakinah Futri Wulandari Futri Wulandari Futri Wulandari, Futri Hadi Nasbey Hadi Nugrahaningsih, Tritiyatma Halimah, Nova Nur Haris Suhendar Hayatining Suci Abdilah Heru Prasetio I Made Astra I Made Astra I. M. Astra Ifa, Rista Putri Nur Istantia Chantika, Kinanti Ita Herawati Kartika, Irma Kurniadewi, Fera Leni Andayani Luluk Yunaini M. Jannah Michael Setiyanto Silambi Mitra Djamal Muhammad Nurdin Muhammad Reza Faisal, Muhammad Reza Muhammad Ridho Pratama Mutiara Pratama Nabila Amalia Dewi Nadya Hidayatie Novita Fitriani Nur Indah Arahman Rahim Nurhayadi, Muktiningsih Nurul Fadillah Octaviany, Sheila Nurul Mahilda Puji Sari Putri Fajriani, Fathya Putri, Pinkan Amanda Putria, Sarah Febriyana Riandini Riandini Ridho Akbar Bintoro Rizky Yusuf Halomoan Salsa Ghina Khairunisa Sastra Kusuma Wijaya Septiani, Elsa Setyo Wahyu Saputro Shallu Fidhah Ariyanti Siti Aisyah Solechah Sri Rahayu Taryudi Taryudi Taryudi, Taryudi Tesa Apriyanti Tora Oktaviana Tritiyatma Hadi Nugrahaningsih Widia Bela Oktaviani Widyaningrum Indrasari Yolanda Natasya Mega Stella