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Kardiman, Reki
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Immunology & microbiology Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Struktur Vegetasi Ekosistem Parak Di Kecamatan Lubuk Alung Kabupaten Padang Pariaman Athiyah Khairunnisa, Febby; Kardiman, Reki
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Parak adalah sebuah ekosistem yang unik dan hanya terdapat di Sumatera Barat, tetapi kajian biologi ekosistem masih sangat terbatas. Penelitian ini ditujukan untuk mengetahui struktur vegetasi ekosistem parak di Kecamatan Lubuk Alung Kabupaten Padang Pariaman khususnya yang berada di sepanjang piggiran hutan dengan membuat  petak contoh berukuran 20x20 sebanyak 18 buah yang tersebar dibeberapa tempat di dalam kawasan parak. Semua tanaman dengan diameter batang >2 cm di dalam plot 20x20 diukur menggunakan Diameter Breast Height (DBH) meter pada posisi 1.3 m dari permukaan tanah, di dalam masing-masing plot tersebut dibuat plot dua buah plot 1x1 m untuk kategori seedling dan tanaman bawah. Setiap individu tumbuhan di dalam plot diidentifikasi jenisnya dan dihitung jumlah individunya. Penelitian ini menemukan sekitar 885 pohon (termasuk sapling) dengan 103 jenis tumbuhan per hektar. Tumbuhan kategori pohon ditemukan sebanyak 30 jenis, dan jenis yang paling dominan adalah jenis pohon pinang, durian dan kelapa. Pada tingkat sapling didominasi oleh pinang, pisang, jengkol dan coklat, sedangkan pada tingkat seedling tidak ada kategori anakan pohon yang mendominasi tetapi didominasi oleh vegetasi dasar seperti rumput-rumputan, talas, paku-pakuan dan kelompok perdu. Diantara tiga jenis pohon yang dominan, hanya pinang dan durian yang mempunyai regenerasi pada tingkat sapling, sedangkan pada tingkat seedling hanya terdapat jenis pinang saja. Penelitian ini memberikan pengetahuan bahwa ekosistem parak pada daerah ini dicirikan dengan struktur yang masih kompleks, dan bervariasi dari segi jenis tumbuhan.
Strengthening the Usaha Tani group Nagari Sungai Abang as organic center in Subdistrict of Lubuk Alung Padang Pariaman Kardiman, Reki; Achyar, Afifatul; Selaras, Ganda Hijrah; Novita, Yeni; Fardilla, Midratul; Roza, Sri Yenica
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-iss2/277

Abstract

Back to organic farming is necessary but applying this should begin with production of the organic products in a special place called organic center, where the all possible organic products produced from organic waste in a place. This approach has started by the Usaha Tani group last year but failed in fulfilling the goals. This program was proposed to strengthening the organic center with some simple organic projects such as liquid organic fertilizer (LOF), eco-enzyme and maggot. The activities were conducted through establishing the facilities and enhancing the skills. Three of 100 kg buckets were established and were produced about 60 liter LOF, and eco-enzyme is now producing about 1680 liter within 15 of 25 kg buckets, while 450 maggots were ready to be released for making hundred thousand eggs. The farmer group is very antusias with the process and the promissing yields, and be ready for the next steps.
Application of pH and TDS Sensors to Optimize the Growth of Green Lettuce (Lactuca sativa L.) in a Hydroponic System Aini, Quratul; Fevria, Resti; Kardiman, Reki; Putri, Irma Leilani Eka
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
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.v25i4b.10764

Abstract

Green lettuce (Lactuca sativa L.) is one of the leafy vegetables that is widely cultivated because it has a relatively short harvest time and high nutritional value, especially as a source of fiber, vitamin A, and vitamin K. This study aims to improve the growth of green lettuce using a DFT (Deep Flow Tecnique) hydroponic system equipped with IoT-based pH and TDS sensors. This study used a completely randomized design (CRD) with two treatments, namely P1 (50% AB Mix + 50% POC) using pH and TDS sensors and P2 (50% AB Mix + 50% POC) without pH and TDS sensors, each with two replications and nine samples per replication. The results showed that the use of pH and TDS sensors significantly increased plant height (32.44 cm), number of leaves (23.66 strands), leaf area (422.8 cm2), wet weight (236.4 g) and dry weight (23.41 g) compared to the manual method. Data analysis using an unpaired t-test at a 5% significance level showed significant differences in most growth parameters. IoT technology has proven effective in increasing the efficiency and productivity of hydroponic systems by providing real-time nutrients according to plant needs. This research supports the development of IoT technology for sustainable agriculture, while also having a positive impact on production efficiency and resource savings.
Application of pH and TDS Sensors to Optimize the Growth of Pakcoy (Brassica rapa L.) Plants in Hydroponic Systems Mardaniyah, Annisa; Fevria, Resti; Kardiman, Reki
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
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.v25i4b.10765

Abstract

Pakcoy (Brassica rapa L.) is a widely cultivated leafy vegetable with high economic value. Limited agricultural land and the need for more efficient cultivation systems encourage the use of hydroponic technology, particularly through the use of pH and TDS sensors to optimize nutrient management. This study aims to compare the growth of pakcoy plants using the Deep Flow Technique (DFT) hydroponic system with pH and TDS sensors and without sensors. The study used a Completely Randomized Design (CRD) with two treatments: 50% AB mix + 50% POC with sensors, and 50% AB mix + 50% POC without sensors, with nine replications. The parameters observed included plant height, number of leaves, leaf area, fresh weight, and dry weight. Data were analyzed using an unpaired t-test at a significance level of 5%. The results showed that the use of pH and TDS sensors significantly affected all growth parameters. The treatment with sensors resulted in higher average values, namely plant height of 25.1 cm, number of leaves of 17.3, leaf area of 514.6 cm², fresh weight of 236.28 g, and dry weight of 30.7 g compared to the treatment without sensors. Automatic nutrient monitoring creates stable solution conditions, thereby increasing nutrient absorption efficiency and plant biomass accumulation. This study concluded that the use of pH and TDS sensors is effective in optimizing and increasing the productivity of bok choy plants in hydroponic systems. It is recommended that IoT-based monitoring technology be applied more widely to improve cultivation efficiency, reduce costs, and support sustainable agriculture.
Co-Authors Achyar, Afifatul Aini, Quratul Athiyah Khairunnisa, Febby Azwir Anhar Desmayanti, Resti Djoelvinanda, Habibullah Dwi Hilda Putri Dwi Puspita Putri Fadhlurrohman, Reza Fadilaturahmah Fadilaturahmah Fardilla, Midratul Fevria, Resti Filza Yulina Ade Harli Wahyu Salman Irma Leilani Eka Putri Khumaira, Kayla Anaya Leilani Eka Putri, Irma Lesmina, Fadilla Mardaniyah, Annisa Miftahul Jannah Moralita Chatri Nazhifah, Naura Novita, Yeni Pebriyeni, Silvi Pratama, Chelsylia Dara Pratama, Sandi Fransisco Putri, Cici Adelia Putri, Irma Leilani Eka Rahman, Natasya Aulia Rahmi Kurniati Roza, Sri Yenica Satria, Rijal Selaras, Ganda Hijrah Simangunsong, David Siti Aisyah Suci Ramadhani, Suci Sulaeman, Nabila Sunarsan, Debra Fortuna Syahfitri, Aulia Insyani Taufiq, Muhammad Afif Valofi, Nagra Aulia Vauzia, Vauzia Violita Violita Wawan Sujarwo Wira Aina, Zahratul Yunita, Aulia Zainal Umar, Muhammad