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All Journal POSITRON Jurnal Pengabdian dan Pemberdayaan Nusantara (JPPNu) Sunan Kalijaga Journal of Physics Jurnal Teknik Elektro
Yuniati, Anis
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Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics Public Health Social Sciences

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PENDAMPINGAN PENULISAN ARTIKEL ILMIAH BERBASIS KOMPETENSI BAGI KEPALA SEKOLAH DAN GURU SDN DI KOTA MALANG Sultoni, Sultoni; Kusumaningrum, Desi Eri; Sumarsono, Raden Bambang; Triwiyanto, Teguh; Unsa, Firda Fitrotul; Anantika, Tiara Wilda; Ubaidilah, Endra; Yuniati, Anis
Jurnal Abdimas UNU Blitar Vol 6 No 1 (2024): Vol 6 No 1 (2024): Volume 6 Nomor 1 : Juli 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jppnu.v6i1.242

Abstract

Kompetensi guru yang mutlak harus dikembangkan mencakup kompetensi pedagogis, kompetensi kepribadian, kompetensi sosial, dan kompetensi profesional. Salah satu tagihan dalam kompetensi profesional yang termuat dalam PKB guru adalah publikasi ilmiah yang dimuat dalam jurnal ilmiah nasional maupun internasional. Sementara itu berdasarkan analisis situasi mitra, guru-guru SDN di Kota Malang memiliki kesulitan dalam menyusun artikel. Umumnya guru-guru belum memiliki artikel sebagai produk karya ilmiah sebagai penunjang kenaikan pangkat mereka. Tujuan dari pendampingan dan pelatihan menulis artikel ilmiah ini untuk membantu guru-guru dan kepala sekolah SDN di Kota Malang dalam memahami dan melahirkan karya ilmiah berbentuk artikel layak terbit pada jurnal nasional. Kegiatan ini dilaksanakan dengan menggunakan system In, On, In, dimana peserta nantinya akan mendapatkan pendampingan secara klasikal dan individual dalam pembuatan produk akhir. Evaluasi kegiatan pelatihan ini dilakukan melalui beberapa tahap, yaitu evaluasi input, evaluasi proses, dan evaluasi hasil. Berdasarkan hasil analisis deskriptif diketahui bahwa tingkat evaluasi proses tergolong dalam kategori tinggi. Sedangkan tingkat evaluasi hasil tergolong dalam kategori tinggi juga.
PENGARUH PROBABILITAS KONEKTIVITAS NEURON PADA SINKRONISASI JARINGAN SARAF MODEL HH NEURON DENGAN STP Hasyim, Mochamad Fu’ad; Yuniati, Anis
Sunan Kalijaga Journal of Physics Vol. 1 No. 1 (2019): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v1i1.1629

Abstract

Sinkronisasi jaringan saraf merupakan salah satu aktivitas otak yang telah ditemukan pada mamalia tingkat rendah pada tahap awal perkembangan. Sinkronisasi jaringan saraf memiliki frekuensi tertentu yang dapat diperoleh dari data elektrofisiologi yang terekam. Data rekaman tersebut merupakan data dari aktivitas neuron yang berosilasi dengan ritme tertentu. Pada penelitian ini telah dibuat pemodelan jaringan saraf model Hodgkin-Huxley (HH) neuron dengan model sinapsis Short-Term Plasticity (STP) menggunakan simulator Brian2 dan dilakukan analisa pengaruh probabilitas konektivitas neuron terhadap sinkronisasi firing, konduktansi post-sinapsis dan dinamika membran potensial. Jaringan saraf yang dimodelkan memiliki sub grup neuron eksitatori dan inhibitori dengan jumlah neuron masing-masing 40 dan 10 neuron. Neuron-neuron tersebut dihubungkan secara acak dengan variasi probabilitas konektivitas jaringannya. Koneksi antara neuron meningkat dan lebih banyak sinapsis dibentuk dengan nilai pe (probabilitas konektivitas neuron eksitatori) dan pi (probabilitas konektivitas neuron inhibitori) yang lebih besar. Nilai pe lebih besar dari nilai pi menyebabkan jaringan menjadi lebih sinkron dan nilai pi yang lebih besar dari pe menyebabkan jaringan kurang sinkron. Semakin besar nilai pe dan pi menyebabkan nilai konduktansi post-sinapsisnya semakin besar sehingga neuron mengalami spike pada waktu yang hampir bersamaan. Dari pemodelan jaringan saraf ini didapatkan hasil nilai rata-rata frekuensi jaringan saraf sebesar 13.44 Hz.
Analisis Matematis dan Komputasi Dinamika IP3 pada Perambatan Gelombang Kalsium Persamaan Li-Rizel Fauzia, Syifa; Yuniati, Anis
Sunan Kalijaga Journal of Physics Vol. 2 No. 1 (2020): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v2i1.2136

Abstract

Telah dilakukan analisis terhadap dinamika IP3 pada perambatan gelombang kalsium persamaan Li-Rinzel dengan membandingkan gating variable (h) dan fraksi aktivasi reseptor IP3 (q) secara matematis dan komputasi. Analisis secara matematis dilakukan dengan membandingkan beberapa persamaan yang digunakan oleh Stimberg dkk. serta Nadkarni dan Jung. Adapun analisis secara komputasi dilakukan dengan mensimulasikan astrocyte model Li-Rinzel. Pemodelan ini dibuat menggunakan simulator Brian2. Hasil analisis dari kedua metode menunjukkan bahwa bahwa variabel q (fraksi aktivasi reseptor IP3) sesuai dengan gating variable (h). Hal ini menunjukkan bahwa kedua metode analisis yang digunakan telah sesuai, dimana keduanya menunjukkan hasil yang setara.
Pemodelan Pola Perambatan Gelombang Kalsium Pada Jaringan Astrocyte Dengan Simulator Brian2 Hafizhoh, Itsnainiyah; Yuniati, Anis
Sunan Kalijaga Journal of Physics Vol. 2 No. 2 (2020): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v2i2.2291

Abstract

Calcium wave propagation pattern modeling has been successfully carried out in astrocyte network using Brian2 simulator. The astrocyte model is defined by the Li-Rinzel equation which involves the IP3Rs (q) activation fraction. IP3Rs activation fraction parameter (q) affects the value of calcium concentration in astrocytes. The connection between astrocyte is in the form of Gap-Junction Channels (GJCs). The variation in this modeling is the number of astrocyte cells stimulated by external currents in the astrocyte network being modeled. The modeling results show that the IP3Rs (q) activation fraction can affect the propagation of calcium waves in astrocytes through activation of IP3 receptors
Pemodelan Struktur Dan Mekanisme Interaksi Neuron-Astrocyte Dalam Proses Transfer Informasi Dengan Simulator Brian2 Hafizhoh, Itsnainiyah; Yuniati, Anis
Sunan Kalijaga Journal of Physics Vol. 2 No. 2 (2020): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v2i2.2293

Abstract

The modeling of neuron-astrocyte interactions in neural networks has been successfully carried out using the Brian2 simulator. The neuron model used is Integrate and Fire, while the astrocyte network model is defined by the Li-Rinzel equation which involves the IP3Rs (q) activation fraction which affects the value of calcium concentration in astrocytes. Interaction modeling between neuron networks and astrocytes involves four types of connections, namely connections between neurons connected by synapses, connections between astrocytes in the form of gap-junction channels (GJCs), synaptic connections to astrocytes and astrocyte connections to synapses. The synaptic connection to the astrocytes is made to trigger the activation of the astrocytes by releasing the neurotransmitter. The astrocyte connection to the synapses is established as a route for the production of the gliotransmitter. The modeling results show that the information transfer mechanism carried out by neurons is in the form of electric current wave propagation, while the information transfer carried out by astrocytes is in the form of calcium wave propagation.
Portable EMG System for IoT Using MQTT Yuniati, Anis; Ramadhani, Bintang; Rakhmadi, Frida Agung; Sumarti, Heni
Jurnal Teknik Elektro Vol. 17 No. 2 (2025)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v17i2.33839

Abstract

Conventional electromyography (EMG) systems in clinical settings present limitations including high examination costs (500,000-1,500,000 IDR), bulky equipment, and lack of remote monitoring capabilities. This study develops and validates a portable Internet of Things (IoT)-based EMG system utilizing Message Queuing Telemetry Transport (MQTT) protocol for wireless muscle activity monitoring. The system integrates an EMG V3 sensor module with NodeMCU ESP8266 microcontroller, powered by dual 18650 batteries. Implementation utilized Arduino IDE and IoT MQTT Panel application. Validation comprised functional suitability testing (ISO/IEC 25010:2012), signal characteristics analysis across five subjects with 10 trials each, and repeatability precision evaluation (ISO 17025:2017). The system demonstrated 100% functional suitability. EMG signal characteristics showed average peak-to-peak voltage of 8.95±0.62 mV during relaxation and 10.48±0.58 mV during contraction, with Root Mean Square (RMS) voltage of 1.38±0.11 mV and 1.94±0.21 mV, respectively. Signal frequency-maintained consistency at approximately 50 Hz. Overall repeatability precision achieved 97.62%. This portable EMG system addresses conventional system limitations through wireless connectivity and reduced cost while maintaining measurement accuracy suitable for muscle health monitoring applications.
IoT-Based Heart Monitoring System with Real-Time ECG Visualization for Low-Cost Telemedicine Applications Yuniati, Anis; Muhammad Habib Kurnianto; Danish Zaky Dhiyaulhaq; Frida Agung Rakhmadi
POSITRON Vol. 16 No. 2 (2026): Vol. 16 No. 2 Edition (This issue was scheduled for publication on July 31, 20
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v16i2.96886

Abstract

This research is motivated by the lack of availability of electrocardiography (ECG) in healthcare facilities. The aim is to design, build, and test an IoT-based, portable and low-cost heart rate or ECG signal monitoring system that displays data in real-time. The system is designed using Blender and Fritzing for circuit schematics. The construction of both hardware and software development, including creating system blocks, casing, and display on IoT On/Off and PlotJuggler. The results of the ECG signal can be displayed on the device's monitor screen or sent via a server over long distances. Medical experts can use this tool remotely to monitor the condition of heart patients. This system consists of several parts, namely a data acquisition unit consisting of an AD8232 ECG sensor and ADS 1115 ADC converter, a data processing unit in the form of an ESP32 microcontroller, a data transfer unit in the form of Message Queuing Telemetry Transport (MQTT), a computer, a real-time ECG plotter GUI, and a power supply unit. The system output displayed a stable signal on the serial monitor and the computer with a GUI ECG real-time plotter. The accuracy of specific PQRST wave patterns was calculated for both rest and stress conditions, yielding a percentage accuracy of 93.93%. The precision of the ECG system was calculated by repeating data collection five times and obtaining average of rest and stress conditions equal to 95.45%. This design system works effectively in the integration of a portable low-cost ECG acquisition system with MQTT-based real-time ECG visualization for remote monitoring applications. The developed system has potential applications in telemedicine and remote healthcare services, particularly in low-resource and geographically isolated areas where access to conventional ECG equipment is limited.
Co-Authors Anantika, Tiara Wilda Danish Zaky Dhiyaulhaq Desi Eri Kusumaningrum Frida Agung Rakhmadi Frida Agung Rakhmadi, Frida Agung Hafizhoh, Itsnainiyah Hasyim, Mochamad Fu’ad Muhammad Habib Kurnianto Raden Bambang Sumarsono Ramadhani, Bintang Sultoni Sultoni, Sultoni Sumarti, Heni Syifa Fauzia, Syifa Teguh Triwiyanto Ubaidilah, Endra Unsa, Firda Fitrotul