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The Workshop on Cattle Breeding and Fattening in an Effort to Increase the Human Development Index in Sijunjung Regency Putri, Santi Diana; Meidita, Fadilla -; Alatas, Andi; Yulkifli, Yulkifli; Fevria, Resti; Dona, Afrini; Elisia, Rini
Pelita Eksakta Vol 7 No 1 (2024): Pelita Eksakta, Vol. 7, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol7-iss1/220

Abstract

The Human Development Index (HDI) is an important indicator to measure a country's progress in improving the welfare of its people. Compared to other Southeast Asian countries, Indonesia's HDI is still low. To improve Indonesia's HDI, the livestock sector, especially cattle breeding and fattening, can contribute significantly. ICMI (Indonesian Muslim Scholars Association) in collaboration with the Department of Agroindustry developed a high-quality and sustainable cattle breeding and fattening program. The goal of this collaboration is to improve cattle breeding and raising skills and support sustainable agricultural development. The solution of this collaboration is the improvement of participants' knowledge and skills on better livestock technology so as to increase the productivity and quality of beef cattle especially in Sijunjung Regency.
Design and Implementation of an IoT-Based Intravenous Infusion Monitoring System Using Wireless Sensor Network Afrianda, Teguh; Yulkifli, Yulkifli; Yohandri, Yohandri; Asman, Aulia
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.25

Abstract

This research presents a Wireless Sensor Network (WSN) based infusion monitoring system that utilizes Internet of Things (IoT) technology to enhance infusion management in healthcare. Manual supervision often lacks the necessary accuracy and control, making automated solutions crucial. Our system employs optocoupler and load cell sensors to calculate the infusion drop rate per minute and assess the remaining fluid percentage. Tests conducted demonstrated that optocoupler sensors effectively measured the drop rate, while load cell sensors accurately determined fluid levels. Measurement results are easily monitored via smartphone, granting healthcare professionals rapid access to vital data. A key innovation of this system is its ability to enable remote monitoring through WSN, allowing a single nurse to oversee multiple infusions with just one smartphone. The test results indicate impressive accuracy, achieving an average precision rate of 97% for drop rate measurements and 93% for remaining fluid percentage measurements. Overall, this system offers an efficient and controlled approach to infusion fluid management, ensuring optimal care for patients. By integrating IoT and WSN technologies, this research lays the groundwork for developing more advanced and interconnected infusion monitoring systems, ultimately enhancing patient care in today's globalized healthcare environment.
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.
The Validity and Practicality of the E-Book Science Model RADEC (Read-Answer-Discuss-Explain-Create) to Improve the 4C Skills of Students Pramita, Rissa; 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.
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

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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
RANCANG BANGUN SISTEM KUALITAS TELUR AYAM RAS BERBASIS INTERNET OF THINGS UNTUK TRANSFORMASI DIGITAL PETERNAKAN Putri, Sylvia Delfi Mardiana; Yulkifli, Yulkifli; Sari, Mona Berlian; Susalam, Malikil Kudus
BIOCHEPHY: Journal of Science Education Vol. 5 No. 2 (2025)
Publisher : MO.RI Publishing

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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 - 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 Armiati Armiati Asrizal Asrizal A Audia, Washilla Aulia Asman Az-Zahra, Khalishah Raudhatul Azmi Asra, Azmi 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 Fauzi, Wulan Aulia Febrina, Suci Festiyed Fevria, Resti Fevria, Resti - Fimatesa Windari Fitra Netti Frans Rizal Agustiyanto Gabe, Totop Habibi Putra Hamid, Bushra Harman Amir Hatthoahira . Heron Tarigan Hufri Hufri Ilyas Muhammad Isa Indang Dewata Insani, Munadia Irwan Irwan Isa, Ilyas Muhammad Junita, Novia Khoirun Nisa Kitty Mulyati Chania Lily Handayani Mairizwan, Mairizwan Maria Idayu Matondang, Anggun Sisri Br. Md Isa, Illyas Melia Vivi Ningrum Mimo Putra Ardiansyah Mitra Djamal 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 Pramita, Rissa Pratama, Rayvol Dion Pratiwi, Nadya Puja Kahar Putri Diana Putri Oktavia Putri, Santi Diana Putri, Sylvia Delfi Mardiana Putri, Widya Janatul Rahmadani, Febbi Rahmondia N. Setiadi Ramadhiani, Dhea Dinda Rambe, Indah Anggraini Ramli Ramli Rembrandt, Rembrandt Renol Afrizon Renti Surya Retno Riyaningtyas Rezy Prima 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 Susalam, Malikil Kudus Suyatno, Suyatno Teguh, Teguh Afrianda Ulianas, Alizar Usmeldi Usmeldi Vauzia, Vauzia Venny Haris Violita Violita 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 Zul Fahmi, Hafizhuddin Zulhendri Kamus Zulpadrianto Z Zurian Affandi