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Rancang Bangun Alat Ukur Glukosa Untuk Darah Manusia Menggunakan Sensor Elektrokimia Berbasis Glassy Carbon Electrode (GCE) dengan Metode Voltametri Putri, Widya Janatul; Yulkifli, Yulkifli; Alizar, Alizar; Isa, Ilyas Muhammad
Jurnal Fisika Unand Vol 10 No 3 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.10.3.324-329.2021

Abstract

Sensor elektrokimia merupakan salah satu jenis sensor yang digunakan pada perancangan alat ukur glukosa untuk menentukan kadar glukosa pada darah manusia. Sensor elektrokimia dibuat dengan menggunakan sintesis kimia anorganik sehingga menghasilkan material sensor yang dapat merubah peristiwa kimia menjadi besaran listrik. Pada penelitian ini dilakukan analisis hasil uji respon beberapa jenis sensor modifikasi terhadap glukosa dalam darah dengan metode voltametri. Elektroda yang digunakan adalag Glassy Carbon Electrode (GCE) Data uji respon meliputi limit deteksi, linier range dan sensitivitas. Sensor glukosa memiliki karakter minimun dimana kualitas sensor akan semakin baik jika sensitivitas tinggi, limit deteksi rendah dan linier range yang lebar. Senyawa kimia yang digunakan meliputi Cu, Ni, dan Pt yang telah melalui proses sintesis untuk menjadi material sensor.
Application of IoT-Based pH and TDS Sensors for Optimization of Hydroponic Vegetable Production at Blasta Hidroponik -, Vauzia -; Yulkifli, Yulkifli; Fevria, Resti; Jarlis, Roni
Pelita Eksakta Vol 8 No 2 (2025): Pelita Eksakta, Vol. 8, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss2/296

Abstract

The implementation of IoT-based technology in hydroponic cultivation has become increasingly important to optimize vegetable production and ensure food security. This community service activity aimed to implement pH and TDS (Total Dissolved Solids) sensors based on Internet of Things (IoT) technology at Blasta Hidroponik, Padang City. The method involved four stages: socialization, technology design, implementation assistance, and monitoring evaluation. The target partner was Blasta Hidroponik, a hydroponic business located on Jl. Sumatera No. 1 Ulak Karang, Padang City, with a cultivation area of ±200 m². The implemented system included pH sensors with 0-14 pH measurement range (±0.1 accuracy), TDS sensors with 0-9999 ppm range (±2% accuracy), ESP32 microcontroller for WiFi connectivity, and Android-based mobile application for real-time monitoring. Results showed significant improvements in productivity (44% increase), cultivation cycle acceleration (8%), resource efficiency (25% water savings, 30% nutrient reduction), and labor optimization (reduced monitoring time from 3 hours to 30 minutes daily). Knowledge transfer was successful with 78% improvement in partner's understanding through pre-test and post-test evaluation. The IoT-based monitoring system proved effective in maintaining parameter stability with pH fluctuation reduced from ±1.2 to ±0.3 units, supporting optimal nutrient absorption and plant growth consistency
Analysis Wastewater Treatmen and Environmental Policy Development: Bibliometrics and Visualization Washilla Audia; Frinaldi, Aldri; Lanin, Dasman; Rembrandt, Rembrandt; Umar, Genius; Yulkifli, Yulkifli; Syah, Nurhasan; Nofriandi, Alwi; Aprilliani, Cici; Amelia, Kiki; Batubara, Fanny Yuliana; Hatika, Rindi Genesa; Febrina, Cory; Yasril, Abdi Iswahyudi; Hendrita, Juli
Science and Environmental Journal for Postgraduate Vol. 7 No. 2 (2025): Science and Environmental Journals for Postgraduate (SENJOp)
Publisher : Postgraduate School, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/senjop.v7i2.301

Abstract

The global water pollution crisis exacerbated by anthropogenic activities demands effective integration between science and policy. This study conducted a comprehensive bibliometric analysis of 285 publications to map the intellectual landscape and evolutionary trajectory at the interface of liquid waste contamination and environmental policy. Findings reveal an exponential acceleration of research since 2014, with 75.78% of publications concentrated in the last decade, reflecting increasing global urgency. China dominates as the research epicenter with the highest productivity (56 publications), the greatest citation impact (1,914 citations), and a role as a key collaboration link. Thematic analysis confirms the consolidation of this field around the core concepts of “environmental policy” (228 occurrences) and “wastewater treatment” (215 occurrences), marking a paradigm shift from technocratic approaches toward holistic policy integration. However, the polarization of international collaboration into 10 cohesive clusters indicates a fragmentation of global discourse. Critically, this study identifies an alarming disparity between rapid scientific progress and lagging policy adoption capacity, highlighting the urgent need for adaptive policy frameworks and transdisciplinary collaboration mechanisms to bridge the implementation gap and respond more effectively to emerging contaminants.
Development of STEM-Based Student E-Book Using PBL Model in Improving Critical Thinking Ability Febbi Rahmadani; Yulkifli Yulkifli; Festiyed Festiyed; Asrizal Asrizal
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11104

Abstract

The ability to think critically is an ability needed by students in the 21st century. Problem-based learning is one of the learning models that can stimulate students' critical thinking skills. Students' difficulties in solving contextual problems of temperature and heat material oriented to students' critical thinking skills and the unavailability of teaching materials that facilitate students in improving students' critical thinking skills. This study used Research & Development with Plomp's development model. The research subjects were 36 students of class XI in each high school in Solok City. Research data in the form of needs analysis (curriculum analysis, material, learner character analysis) development analysis (product design, formative evaluation) and assessment analysis (normality test, homogeneity, critical thinking ability hypothesis). The results showed that student e-books were in the valid category while in terms of material experts were in the valid category and the practicality of student e-books was seen in the results of student responses with an average of 93% with a very practical category and the effectiveness of student e-books seen in the average N-gain value of 0.683. The resulting student e-book is feasible to be used by teachers in the learning process, problem-based learning models will be more effective in spurring critical thinking skills if teachers use this student e-book.
Collaborative Workshop With ICMI On Curriculum Development For Cattle Breeding And Rearing Program Cattle Breeding And Rearing Program Refika Komala; Resti Fevria; Yulkifli Yulkifli; Rini Elisia; Roni Jarlis; filFildza Arief Syuhada; Farhan Al Azhar Besri
Pelita Eksakta Vol 9 No 1 (2026): Pelita Eksakta, Vol. 9, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol9-iss1/336

Abstract

Abstract – Variousproblemsfaced by the livestocksector in Indonesia include low quality cattle seeds, inadequate infrastructure, and low productivity. Livestock farmingis generally carried out by rural livestock farmers, managed traditionally as a side business, with a cattle maintenance system that is herded and pennednear the farmer's house. The cattle are left to findtheirownfeed and to meet the shortage of livestockfeed, agricultural waste is provided. The capabilities of cattle farmers are relatively limited, farmers assume that cattle maintenance can bedone as a side job and do not have special technologi calca pabilities. The purpose of the collaborative Workshop with ICMI in Efforts to Increase the Human Development Index through Cattle Breeding and Raisingis to improve participants' knowledge and skills related to modern livestock technology that can increase the productivity and quality of beefcattle. In addition, this workshop alsoaims to strengthen the network and collaboration between experts, practitioners, and related parties in the beef cattle industry in the form of lecture activities on cattle farming and fattening through 16 meetings consisting of 11 courses with expert speakers. The result of this collaboration is an increase in participants' knowledge and skills regarding more effective livestock technology, in order to increase the productivity and quality of beefcattle, especially in Sijunjung Regency.
Initial Design of Earthquake Early Warning System With Smartphone Display Audia, Washilla; Yulkifli, Yulkifli; Yohandri, Yohandri
Journal of the Physical Society of Indonesia Vol. 1 No. 1 (2025): (April 2025)
Publisher : The Physical Society of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35895/jpsi.1.1.1-12.2025

Abstract

This research presents the preliminary design of an automatic vibration detection system that can be used as an earthquake early warning system using the Internet of Things and a smartphone display, and to investigate the relationship between vibration acceleration and vibration intensity and magnitude. Earthquake early warning is an important tool to reduce the danger of earthquakes and is a form of earthquake mitigation. This system is designed using MPU6050, ESP8266, Arduino IDE, Buzzer, LCD, and Smartphone sensors. The relationship between variations in vibration intensity and magnitude with vibration acceleration is directly proportional. This system has 96% accuracy and the accuracy of vibration acceleration read on the system is 92%. This system can be a simple earthquake early warning solution in earthquake-prone areas to minimize the risk of earthquake natural disasters and can be used as a basis for developing earthquake disaster mitigation systems.
The Validity and Practicality of the E-Book Science Model RADEC (Read-Answer-Discuss-Explain-Create) to Improve the 4C Skills of Students Rissa Pramita; Yulkifli Yulkifli
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.4337

Abstract

Quality human resources are the main goal of a nation's ability to compete. The demands of the 21st century also require quality human resources. Therefore, learning resources are needed that support students' 4C skills. The purpose of this research is to develop learning resources in the form of science e-books that have been tested for validity and practicality. The type of research used is research and development, using the ADDIE development model. In the ADDIE development model, there are five stages, including analysis, design, development, implementation, and evaluation. The validity of the Science E-Book uses the Aiken's V scale, and the practicality of the Science E-Book uses the Likert scale. Based on the results of the data analysis conducted, the validity and practicality results were obtained as follows. The results of e-book validity tests by experts were obtained at 0.88. The results of the teacher's practicality were obtained at 89.25%, and the results of the students' practicality were obtained at 88%. So it can be concluded that the RADEC model-based science e-book (Read-Answer-Discuss-Explain-Create) is valid and practical to use in science learning and to improve the 4C skills of junior high school students.
Prediction of Tropical Cyclone Trajectory and Intensity Using a Particle Motion Based Machine Learning Framework in the Southern Indian Budi Iman Samiaji; Yulkifli Yulkifli; Yohandri Yohandri; Nofi Yendri Sudiar; Supari Supari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19982

Abstract

Tropical cyclones in the Southern Indian Ocean pose severe threats to coastal infrastructure and socio-economic stability, yet predicting their recurving trajectories and intensity remains a significant meteorological challenge. This study evaluates the performance of a particle-motion-based machine learning framework, utilizing the Trackpy library, to forecast cyclone behavior. Leveraging historical data from 2018 to 2025 (JTWC and IBTrACS), the model treats cyclones as physical particles with temporal inertia, employing a multi-lag feature to capture movement momentum. Evaluation using a dataset of 115 cyclones (78:22 train/test ratio) reveals that the Trackpy framework achieves high spatial precision, with Mean Squared Error (MSE) values of 0.1728 for latitude (±33.3 km) and 1.0250 for longitude (±53.2 km). While the intensity prediction yielded a higher MSE of 47.7544 (approximately 6.9-knot deviation), the model successfully captured major strengthening and weakening phases across prominent cyclones, including TC Wallace and TC Neville. These findings demonstrate that integrating temporal inertia is highly effective for maintaining trajectory consistency, establishing Trackpy as a robust architectural foundation for operational forecasting. Further optimization via hybrid models and additional meteorological variables is recommended to enhance intensity accuracy.
RANCANG BANGUN SISTEM KUALITAS TELUR AYAM RAS BERBASIS INTERNET OF THINGS UNTUK TRANSFORMASI DIGITAL PETERNAKAN Sylvia Delfi Mardiana Putri; Yulkifli Yulkifli; Mona Berlian Sari; Malikil Kudus Susalam
BIOCHEPHY: Journal of Science Education Vol. 5 No. 2 (2025)
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kualitas telur ayam ras merupakan faktor penting yang menentukan nilai jual dan daya saing produk peternakan. Namun, metode pengujian yang umum digunakan masih bersifat manual dan destruktif, sehingga kurang efisien untuk skala besar. Penelitian ini bertujuan merancang sistem pendeteksi kualitas telur berbasis Internet of Things (IoT) dengan sensor non-destruktif yang terintegrasi model machine learning. Sistem prototype dibangun menggunakan sensor berat, cahaya, dan warna yang dikendalikan oleh mikrokontroler ESP32, dengan hasil pengukuran ditampilkan melalui LCD dan dikirimkan secara real-time ke platform IoT. Nilai Haugh Unit (HU) digunakan sebagai acuan untuk melatih model klasifikasi, di mana algoritma K-Nearest Neighbors (KNN) menunjukkan performa terbaik. Hasil penelitian memperlihatkan sistem mampu mencapai akurasi 89% dalam prediksi HU, sehingga berpotensi digunakan sebagai solusi non-destruktif dalam klasifikasi mutu telur pada skala industri peternakan.
Co-Authors - Asrizal -, Vauzia - Abdi Iswahyudi Yasril Abdul Razak Ade Usra Berli Afrianda, Teguh Ahmad Fauzi Ainur Rizki, Iqbal Aldri Frinaldi Alizar, Alizar Alwi Nofriandi Aminuyati Andi Alatas, Andi Anggraini Anggraini Anwar, Suci Aprilliani, Cici Armiati Armiati Asrizal Asrizal A Audia, Washilla Aulia Asman Az-Zahra, Khalishah Raudhatul Azmi Asra, Azmi Batubara, Fanny Yuliana Budi Iman Samiaji Dasman Lanin Delvi Ayu Wulandari Desmiwati, Riti Didik Hariyanto Djusmaini Djamas Djusmaini Djamas Djusmaini Djamas Dona, Afrini Dwina Melisa Elisia, Rini Fadilla Meidita Fanny Rahmatina Rahim Farhan Al Azhar Besri Fauzi, Wulan Aulia Febbi Rahmadani Febrina, Cory Febrina, Suci Festiyed Fevria, Resti filFildza Arief Syuhada Fimatesa Windari Fitra Netti Frans Rizal Agustiyanto Gabe, Totop Habibi Putra Hafizhuddin Zul Fahmi Hamid, Bushra Harman Amir Hatthoahira . hendrita, juli Heron Tarigan Hufri Hufri Ilyas Muhammad Isa Indang Dewata Insani, Munadia Irwan Irwan Isa, Ilyas Muhammad Junita, Novia Khoirun Nisa Kiki Amelia, Kiki Kitty Mulyati Chania Lily Handayani Mairizwan, Mairizwan Malikil Kudus Susalam Maria Idayu Matondang, Anggun Sisri Br. Md Isa, Illyas Melia Vivi Ningrum Mimo Putra Ardiansyah Mitra Djamal Mona Berlian Sari Muhammad Irfan Muhammad Rivai Murtiani Murtiani Mutia Oktaviani, Annisa Mutia Risma Nadi Suprapto Nadya Pratiwi Nofi Yendri Sudiar Nofi Yendri Sudiar Nur Anisa Sati’at Nur Nahdia, Vivi Nur Suci Eka Putri Nurry Putri Tissos Nurul Ihsan Pratama, Rayvol Dion Pratiwi, Nadya Puja Kahar Putri Diana Putri Oktavia Putri, Santi Diana Putri, Widya Janatul Rahmondia N. Setiadi Ramadhiani, Dhea Dinda Rambe, Indah Anggraini Ramli Ramli Refika Komala Rembrandt, Rembrandt Renol Afrizon Renti Surya Retno Riyaningtyas Rezy Prima Rindi Genesa Hatika Rini Elisia Riren Rostari Rissa Pramita Roni Jarlis Ruci Ardi Samudra, Elmi Yanto Adhar Sania, Hani Sari, Mona Berlian Sati’at, Nur Anisa Septian Rahman Hakim Shabrina Amalia Siregar, Dewi Rahmadani Sri Mutiar, Sri Stivani Suherman, Dea Suaidi Ahadi Supari Supari Suyatno, Suyatno Sylvia Delfi Mardiana Putri Teguh, Teguh Afrianda Ulianas, Alizar Umar, Genius Usmeldi Usmeldi Vauzia, Vauzia Venny Haris Violita Violita Washilla Audia Widya Janatul Putri Widyaningrum Indrasari wita nirmala Yanti, Nurfitriza Yardani Adi Cosra Yenni Darvina Yohandri Yohandri Bow Yolanda . Yolanda Karinia Yosa aulya putri Yudha, Fauzan Syafril Yusri, Wilda Triputri Zul Anwar Zulhendri Kamus Zulpadrianto Z Zurian Affandi