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All Journal International Journal of Evaluation and Research in Education (IJERE) BERKALA FISIKA Jurnal Penelitian dan Pembelajaran Fisika POSITRON Jurnal Pengajaran MIPA Komunikasi Fisika Indonesia Jurnal Pembelajaran MIPA Jurnal Sosioteknologi Jurnal Fisika Unand Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Jurnal Aplikasi Fisika JFA (Jurnal Fisika dan Aplikasinya) Jurnal Pendidikan Fisika Jurnal Edu Research JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Science and Mathematics Education Jurnal Biologi Tropis JSKK (Jurnal Sains Keolahragaan dan Kesehatan) International Journal of Research in Counseling and Education JURNAL EKSAKTA PENDIDIKAN (JEP) JURNAL PENDIDIKAN TAMBUSAI Global Conference Index Jurnal Ilmu Fisika Risalah Fisika Pelita Eksakta Sainstek : Jurnal Sains dan Teknologi Indonesian Journal of Electrical Engineering and Computer Science PAKAR Pendidikan Science and Environmental Journals for Postgraduate Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika Pillar of Physics: Jurnal Berkala Ilmiah Fisika BIOCHEPHY: Journal of Science Education Journal of Comprehensive Science Applied Engineering, Innovation, and Technology Journal of Experimental and Applied Physics
Yulkifli Yulkifli
Physics Department, Faculty Of Mathematics And Natural Science, Universitas Negeri Padang, Jl. Prof. Dr. Hamka Air Tawar Padang, Sumatera Barat 25131, Indonesia
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Characteristic Test of TCS230 Color Sensor as Freshness Detection for Mackerel Fish Rambe, Indah Anggraini; Yulkifli, Yulkifli; Asrizal, Asrizal; Mairizwan, Mairizwan
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.25601

Abstract

Ikan merupakan sumber protein hewani yang penting bagi manusia, namun ikan rentan terhadap pembusukan. Oleh karena itu, diperlukan suatu metode yang cepat dan akurat untuk mendeteksi kesegaran ikan. Salah satu indikator kesegaran ikan adalah perubahan warna. Penelitian ini bertujuan untuk menguji karakteristik sensor warna TCS230 sebagai pendeteksi kesegaran ikan berdasarkan perubahan warna. Metode pengujian meliputi kalibrasi, pengukuran presisi, dan akurasi sensor TCS230 menggunakan lima variasi warna pada kertas uji, serta pengujian langsung pada sampel ikan segar, kurang segar, dan busuk. Hasil pengujian menunjukkan bahwa sensor TCS230 memiliki akurasi sebesar 98,83% dan presisi sebesar 98,3% dalam mendeteksi perubahan warna. Pada pengujian ikan, sensor berhasil mengidentifikasi kesegaran ikan berdasarkan perubahan warna kulit dan daging dengan konsistensi yang baik. Berdasarkan hasil tersebut, sensor TCS230 memiliki potensi yang baik sebagai pendeteksi kesegaran ikan yang cepat dan akurat.
Design of an Air Quality Monitoring System for Carbon Monoxide Gas and PM10 Particles Az-Zahra, Khalishah Raudhatul; Yulkifli, Yulkifli; Sudiar, Nofi Yendri; Mairizwan, Mairizwan
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.25602

Abstract

Udara mempunyai peranan yang sangat penting bagi kehidupan makhluk hidup, oleh karena itu udara sebagai sumber daya yang sangat penting harus dijaga dan dilindungi. Untuk mendapatkan udara yang sesuai dengan tingkat kualitas yang diinginkan maka pengendalian udara penting untuk dilakukan. Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring kualitas udara yang mampu mendeteksi gas karbon monoksida (CO) dan partikel debu PM10 menggunakan sensor MQ-7 dan Sharp GP2Y1010AU0F. Sistem monitoring yang dikembangkan dirancang untuk memberikan hasil pengukuran secara langsung dengan cara membandingkan nilai fisis yang terukur oleh sensor dengan instrumen standar untuk evaluasi akurasi dan presisi. Implementasi sistem dilengkapi dengan interface aplikasi Blynk yang memudahkan monitoring data secara realtime. Hasil penelitian menunjukkan bahwa sensor yang digunakan pada sistem monitoring ini mempunyai tingkat linearitas yang baik dalam mengukur gas CO dan PM10. Spesifikasi perancangan sistem juga menunjukkan tingkat akurasi dan presisi yang tinggi dalam mengukur parameter suhu, kelembaban, karbon monoksida dan PM10.
Smart Farming Sistem Monitoring dan Kontrol Kualitas Tanah Berbasis IoT untuk Meningkatkan Produktivitas Pertanian Irfan, Muhammad; Yulkifli, Yulkifli
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.25875

Abstract

Pertanian telah menjadi salah satu faktor yang sangat penting dalam perekonomian negara. Dalam bidang pertanian sudah mulai dikembangkan dengan penerapan teknologi. Teknologi yang diterapkan berupa penggunaan sensor, aktuator dan internet of things dalam memantau parameter pada tanaman. Penelitian ini termasuk penelitian rekayasa dengan merancang sebuah sistem smart farming menggunakan penyiraman otomatis jika kondisi tanah <60% penyiraman akan hidup jika kelembaban tanah >60% penyiraman akan mati. Pengukuran suhu memiliki ketepatan rata-rata sebesar 97.78% dengan perbedaan pengukuran sistem smart farming dengan alat standar sangat kecil yaitu 2.22 °C. Pengukuran kelembaban udara memiliki ketepatan rata-rata sebesar 92.78% dengan perbedaan pengukuran sistem smart farming dengan alat standar sangat kecil yaitu 0.72% Pengukuran kelembaban tanah memiliki ketepatan rata-rata sebesar 99.20% dengan perbedaan pengukuran sistem smart farming dengan alat standar sangat kecil yaitu 0.80%.
Assistance for Sugarcane Cultivation and Post-Harvest Processing as a Regional Superior Product in Nagari Talang Babungo, Solok Regency Fevria, Resti -; Vauzia, Vauzia; Yulkifli, Yulkifli; Diana Putri, santi; Jarlis, Roni
Pelita Eksakta Vol 8 No 01 (2025): Pelita Eksakta, Vol. 8, No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss01/267

Abstract

Nagari Talang Babungo in Solok Regency, West Sumatra, exhibits significant potential for sugarcane (Saccharum officinarum L.) cultivation. While the current average sugarcane yield in this area is 70 tons/ha, the maximum potential could reach 150 tons/ha. This research aims to enhance sugarcane productivity through the application of biochar, produced from agricultural waste including bagasse, as a soil amendment. Biochar has been shown to improve soil fertility and nitrogen use efficiency in plants. To capitalize on this potential, a comprehensive mentoring program has been implemented to enhance farmers' knowledge and skills in sugarcane cultivation and post-harvest processing techniques. Results demonstrate that biochar application can increase sugarcane biomass production by up to 23% and improve nitrogen use efficiency by up to 35%. Moreover, the socialization and training initiatives have significantly improved farmers' understanding, with average participant scores rising from 42.3 to 85.7 after program completion. The integration of biochar application and effective training not only boosts sugarcane productivity but also supports local economic development and agricultural sustainability in Nagari Talang Babungo. This program aligns with local government policies aimed at enhancing food security and agricultural productivity, thus contributing to the region's overall development strategy.
Diferensiasi Jahe Emprit Menggunakan Genose 118c Berbasis Principal Component Analysis Pratama, Rayvol Dion; Yulkifli, Yulkifli; Darvina, Yenni; Nofriandi, Alwi; Audia, Washilla
Journal of Comprehensive Science Vol. 4 No. 5 (2025): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i5.3160

Abstract

Indonesia merupakan salah satu produsen jahe terbesar di dunia, namun kualitas dan keaslian jahe yang beredar di pasaran, khususnya dalam bentuk bubuk, rentan terhadap pemalsuan. Oleh karena itu, diperlukan metode autentikasi yang cepat, akurat, dan efisien. Penelitian ini bertujuan untuk membedakan jahe emprit berdasarkan variasi massa, suhu pemanasan, dan waktu pemanasan menggunakan teknologi electronic nose (GeNose 118C) yang dikombinasikan dengan metode Principal Component Analysis (PCA). Sampel diuji berdasarkan parameter massa (3g, 6g, 9g), suhu (40°C–90°C), dan waktu pemanasan (5–15 menit), kemudian diekstraksi nilai maksimum dari sinyal 8 sensor gas dan dianalisis menggunakan PCA dua dimensi (PC1 dan PC2). Hasil menunjukkan bahwa metode ini mampu membedakan sampel dengan baik: variasi massa (PC1 = 94,59%), variasi suhu (PC1 = 92,17%), dan variasi waktu pemanasan (PC1 = 96,01%). Temuan ini membuktikan efektivitas E-nose berbasis PCA dalam klasifikasi jahe emprit melalui deteksi senyawa volatil. Implikasi penelitian ini penting bagi pengembangan sistem autentikasi rempah-rempah berbasis aroma yang cepat, murah, dan aplikatif, terutama dalam industri pengolahan herbal dan kontrol mutu pangan.
Peningkatan Kompetensi Keterampilan Peserta Didik Berbantuan LKPD Berbasis Model Discovery Learning pada Materi Fluida Pratiwi, Nadya; Yulkifli, Yulkifli
Indonesian Journal of Science and Mathematics Education Vol. 2 No. 1 (2019): Indonesia Journal of Science and Mathematics Education
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijsme.v2i1.4219

Abstract

Abstract: Lack of practical activities in schools can result in a decrease in the creativity of students. worksheets based on the discovery learning model in them trigger students to think creatively and critically. The sampling technique is cluster random sampling. The purpose of this study is to look at the improvement of skills competencies which are assisted by student worksheets based on the discovery learning model. The data analysis technique is testing hypotheses where there is a difference which means the use of this student worksheet. Hypothesis testing conditions are to carry out normality tests for skill scores from both sample classes and homogeneity tests to see the distribution of values from two sample classes that have homogeneous data. after treatment is obtained, the average value of the skills of the experimental class is 78.62 and for the control class is 70.10.Abstrak: Kurangnya kegiatan praktikum di sekolah dapat mengakibatkan penurunan kreativitas siswa. lembar kerja berbasis model discovery learning di dalamnya memicu siswa untuk berpikir kreatif dan kritis. Teknik pengambilan sampel adalah cluster random sampling. Tujuan dari penelitian ini adalah untuk melihat peningkatan kompetensi keterampilan yang dibantu oleh lembar kerja siswa berdasarkan pada model pembelajaran penemuan. Teknik analisis data menguji hipotesis di mana ada perbedaan yang berarti penggunaan lembar kerja siswa ini. syarat pengujian hipotesis adalah untuk melakukan tes normalitas untuk skor keterampilan dari kedua kelas sampel dan tes homogenitas untuk melihat distribusi nilai dari dua kelas sampel yang memiliki data homogen. setelah perawatan diperoleh, nilai rata-rata keterampilan dari kelas eksperimen adalah 78,62 dan untuk kelas kontrol adalah 70,10.
Development of STEM-Based Student E-Book Using PBL Model in Improving Critical Thinking Ability Rahmadani, Febbi; 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.
Design and implementation of VR lato-lato STEAM in engineering education science Rahman Hakim, Septian; Hariyanto, Didik; Suprapto, Nadi; Yulkifli, Yulkifli; Zul Fahmi, Hafizhuddin; Nisa, Khoirun; Ainur Rizki, Iqbal
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.32206

Abstract

This research focuses on integrating science, technology, engineering, art, and mathematics (STEAM) and virtual reality (VR) in engineering-science education through a lato-lato game (clackers ball). The research analyzes the development trends of VR, particularly the integration of the lato-lato game in STEAM education. Using a waterfall model, the research develops and tests VR-STEAM applications, involving analysis, design, development, and testing phases, with expert validation and student implementation. Data was collected from 60 Indonesian university students and analyzed using partial least squares structural equation modeling (PLS-SEM). Over the past 5 years, VR in education has surged, enhancing learning outcomes and student engagement. The study shows that integrating technology and pedagogy is crucial for effective STEAM education. The design of VR-STEAM is validated and ready for use. PLS-SEM analysis indicates that the indicators are valid and reliable for measuring university students’ experiences. The study reveals that integrating STEAM with VR significantly enhances engineering-science learning (ESL), focusing on understanding, personal goals, communication, and cooperation. VR serves as a mediator that fosters 21st-century skills. The research recommends developing assessment tools to measure VR-STEAM ethnoscience and evaluate effectiveness, highlighting the importance of technology in improving learning and connecting concepts to real-world phenomena like lato-lato.
Effect of Sensor and Based NPK on The Growth of Red Spinach (Amaranthus tricolor L.) Cultivated Hydroponic Oktavia, Putri; Fevria, Resti; Vauzia, Vauzia; Razak, Abdul; Yulkifli, Yulkifli
Jurnal Biologi Tropis Vol. 25 No. 1 (2025): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i1.8328

Abstract

Red spinach (Amaranthus tricolor L.) is a high nutritional value vegetable that is increasingly in demand in Indonesia. Hydroponics is an innovative solution to overcome land limitations, but the efficiency of nutrient delivery in manual methods is still a challenge. This study aims to compare the growth of red spinach in the NPK sensor-based hydroponic system based on the Internet of Things (IoT) with the manual method. The study used a completely randomized design (CRD) with two treatments, namely the use of IoT-based NPK sensors and manual methods, each with two replications and nine samples per replication. The results showed that the use of IoT sensors significantly increased plant height (37.9 cm), leaf area (245.5 cm²), wet weight (9.3 g), and dry weight (1.6 g) compared to the manual method. Statistical analysis using an unpaired t-test at the 5% real level showed significant differences in most growth parameters. IoT technology is proven to be effective in increasing the efficiency and productivity of hydroponic systems by providing real-time nutrition according to plant needs. This research supports the development of IoT technology for sustainable agriculture, while having a positive impact on production efficiency and resource savings.
Effect of Sensor and Based NPK on the Growth of Pakcoy (Brassica rapa L.) Cultivation Hydroponic Sania, Hani; Fevria, Resti; Vauzia, Vauzia; Razak, Abdul; Yulkifli, Yulkifli; Mutiar, Sri
Jurnal Biologi Tropis Vol. 25 No. 1 (2025): Januari - Maret
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i1.8514

Abstract

In hydroponic cultivation, the effectiveness of nutrient distribution is crucial in ensuring optimal plant growth. This research aims to compare the efficiency of nutrient solution delivery using an Internet of Things (IoT)-based NPK sensor with the conventional manual method on the growth of pakcoy (Brassica rapa L.). The study was conducted using a Completely Randomized Design (CRD) with two treatment groups: one utilizing IoT-based NPK sensors and the other without sensors. Each treatment was repeated twice, with nine plant samples per repetition. The observed growth parameters included plant height, number of leaves, leaf area, fresh weight, and dry weight at six weeks after planting. The findings revealed that the implementation of IoT-based NPK sensors significantly enhanced the growth of pakcoy plants compared to the manual method. This was evidenced by a notable increase in plant height, leaf area, and fresh weight (p < 0.05). In conclusion, the application of IoT technology improves the efficiency and effectiveness of nutrient distribution in hydroponic systems, positively impacting plant growth. The scientific significance of this research suggests that integrating IoT-based technology into hydroponic farming can serve as an innovative approach to enhancing plant productivity in a precise and sustainable manner.
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