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Pertumbuhan Vegetatif dan Generatif Batang Atas Jeruk Pamelo ‘Nambangan’ pada Empat Jenis Interstok Slamet Susanto; Herik Sugeru; Sri Minten
Jurnal Hortikultura Indonesia Vol. 1 No. 2 (2010): Jurnal Hortikultura Indonesia
Publisher : Indonesian Society for Horticulture / Department of Agronomy and Horticulture

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1197.416 KB) | DOI: 10.29244/jhi.1.2.53-58

Abstract

ABSTRACTThe objective of this research was to study the differences effects of interstock on scion growth, flowering and fruiting of ‘Nambangan’ pummelo (Citrus grandis (L.) Osbeck). The research was conducted from January to December 2005 in a green house of Cikabayan Research Station IPB, Dramaga. Th e research was arranged in randomized completely block design with singe factor i. e. kind of intertock consisted of Flying Dragon, Troyer, Citrumelo, and Rangpur Lime. All interstocks were grafted on Javanche Citroen rootstock. The result showed that the growth, flowering and fruiting of ‘Nambangan’ pummelo was significantly affected by kind of interstock. Citrumelo interstock tended to induce more vegetatif with low generatif growth of ‘Nambangan’ scion. Troyer, Rangpur Lime and Flying Dragon resulted in moderate growth of ‘Nambangan’ scion, however only Flying Dragon induced ‘Nambangan’ scion to produce more flower and fruit as compared with other interstocks. There was no significant different in carbohydrate content in leaves and C/N ratio among scion with four interstock studied.Key words: interstock, Nambangan, pummel o, flowering
Perbaikan Pembungaan Pamelo melalui Aplikasi Strangulasi dan Zat Pemecah Dormansi Slamet Susanto; Maya Melati; Herik Sugeru
Jurnal Hortikultura Indonesia Vol. 7 No. 3 (2016): Jurnal Hortikultura Indonesia
Publisher : Indonesian Society for Horticulture / Department of Agronomy and Horticulture

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.567 KB) | DOI: 10.29244/jhi.7.3.139-145

Abstract

ABSTRACTPummelo productivity is still low, therefore efforts should be made to increase its flowering and production. The objective of study was to determine the effectiveness of strangulation combined with the application of breaking dormancy substances to improve flowering of pummelo. The experiment was conducted in January to November 2015, at the Cikabayan Experimental Research Station, IPB. The carbohydrate and nitrogen analysis was done in laboratory of Postharvest Agriculture Research Institute, Bogor. Three-year-old pummelo grown in field was subjected for this research. Experiment used a completely randomized design (CRD) with two factors. The first factor was treatment to stimulate flowering, consisted of 3 levels i.e. single strangulation, double strangulation and control, and the second factor was the use of dormancy breaking substances, consisted of 3 types i.e. KNO3, Ethepon and BAP. Strangulation was performed by pressing the wire with a diameter of 2.0 mm into stem as deep as the diameter of the wire. Strangulation was done simultaneously and then released after 3 months. Dormancy breaking substance was applied immediately after releasing the wire for strangulation with the concentration of 200 ppm KNO3, 100 ppm Ethepon or 100 ppm BA. Treatments were replicated 4 times. The results showed that single and double strangulation treatments for 3 months were an effective way to induce flowering of young pummelo trees. Double strangulation produced more flowers as compared to single strangulation.Increased carbohydrate content and C/N ratio in leaves were observed on flower induced trees. Strangulation treatment for 3 months can increase flowering of young pummelo trees. Application of dormancy breaking substances did not have any effect on flowering induction in pummelo.Keywords: carbohydrate content, dormancy breaking substance, flower induction, pummelo, strangulationABSTRAKProduktivitas pamelo masih rendah sehingga perlu upaya peningkatan pembungaan dan produksinya. Penelitian ini bertujuan untuk mengetahui efektivitas strangulasi yang dikombinasikan dengan aplikasi zat pemecah dormansi dalam meningkatkan pembungaan jeruk pamelo. Penelitian dilaksanakan pada bulan Januari sampai Nopember 2015, bertempat di Kebun Percobaan IPB Cikabayan. Analisis karbohidrat dan nitrogen dilakukan di laboratorium BB Pasca Panen, Bogor. Percobaan menggunakan tanaman jeruk pamelo “Nambangan’ berumur 3 tahun dengan Rancangan Acak Lengkap (RAL) dua faktor. Sebagai faktor pertama yaitu perlakuan untuk menstimulasi pembungaan, terdiri atas 3 taraf perlakuan yaitu perlakuan strangulasi tunggal, strangulasi ganda dan kontrol, dan sebagai faktor kedua adalah penggunaan zat pemecah dormansi terdiri atas 3 jenis yaitu KNO3, Ethepon dan BAP. Masing-masing perlakuan diulang 4 kali sehingga terdapat 36 unit percobaan. Strangulasi dilaksanakan dengan melilitkan kawat dengan diameter 2.0 mm pada batang dengan menekan kawat ke batang sedalam diameter kawat tersebut. Strangulasi dilakukan serentak pada batang, strangulasi dilepas setelah 3 bulan kemudian. Zat pemecah dormansi diaplikasikan segera setelah pelepasan kawat strangulasi dengan konsentrasi masing-masing 200 ppm untuk KNO3, 100 ppm untuk Ethepon atau 100 ppm untuk BAP. Hasil penelitian menunjukkan perlakuan strangulasi selama 3 bulan merupakan cara efektif menginduksi pembungaan tanaman jeruk pamelo. Perlakuan strangulasi ganda menghasilkan bunga lebih banyak dibandingkan dengan strangulasi tunggal. Tanaman yang telah terinduksi menunjukkan tingginya kandungan karbohidrat pada tajuk tanaman sehingga meningkatkan rasio C/N. Perlakuan zat pemecah dormansi tidak memberikan pengaruh yang nyata terhadap pembungaan jeruk pamelo.Kata kunci: kandungan karbohidrat, pamelo, pembungaan, strangulasi, zat pemecah dormansi
Pertumbuhan dan Hasil Produksi Dua Varietas Tanaman Kale pada Penambahan Spektrum Cahaya dan Lama Penyinaran Light Emitting Diode (LED) Asyar, Ahmad Wildan; Budiman; Sugeru, Herik; Samudra, Bagas Elang
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 13 No. 1 (2025): April 2025
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2025.013.01.09

Abstract

Kale memerlukan pencahayaan minimal 14-16 jam setiap hari untuk pertumbuhan yang optimal, sehingga cahaya dapat memengaruhi fase vegetatif dan kualitas keseluruhan tanaman kale. Tujuan penelitian ini adalah untuk mendapatkan spektrum cahaya dan lama penyinaran yang memberikan hasil optimal terhadap pertumbuhan dan hasil produksi dua varietas tanaman kale. Penelitian dilakukan di Greenhouse UG Technopark pada bulan April-Juni 2024 menggunakan Rancangan Kelompok Lengkap Teracak (RKLT) Pola Tersarang (Nested Design) yang terdiri dari dua faktor yaitu faktor I (petak utama) adalah spektrum cahaya dan lama penyinaran (L) terdiri dari 10 taraf. Faktor II (anak Petak) yang tersarang pada spektrum cahaya dan lama penyinaran adalah jenis varietas kale (V) terdiri dari 2 taraf. Perlakuan diulang sebanyak 4 ulangan. Parameter yang diamati adalah tinggi tanaman (cm), lebar daun (cm), jumlah daun (helai), laju pertumbuhan tinggi tanaman (cm/hari), diameter batang (cm), bobot segar tanaman (g), dan bobot kering tanaman (g). Data yang diperoleh dianalisis menggunakan analisis sidik ragam (ANOVA) dan selanjutnya perlakuan yang pengaruhnya nyata akan dianalisis uji lanjut dengan uji Duncan’s Multiple Range Test (DMRT) pada taraf a = 5%. Hasil penelitian menunjukkan bahwa perlakuan spektrum cahaya dan lama penyinaran berpengaruh nyata terhadap tinggi tanaman, lebar daun, jumlah daun, bobot segar tanaman, dan bobot kering tanaman, sedangkan perbedaan varietas berpengaruh nyata terhadap tinggi tanaman, lebar daun, laju pertumbuhan tinggi tanaman, dan diameter batang.
Effectiveness of KCL and KNO3 Fertilization on Growth and Results of Two Melon Varieties (Cucumis melo L.) Rahmawati, Rina Fatimah; Istiqlal, Muhammad Ridha Alfarabi; Sugeru, Herik; Warip, Warip
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.v25i1.8209

Abstract

The demand for fruits in Indonesia continues to increase along with the increase in public consumption. Melon is one of the fruits that requires intensive handling in its cultivation because it is vulnerable to environmental changes and diseases. This study aims to determine the effectiveness of adding KCL and KNO3 fertilizers on the growth and yield of two melon varieties. This study used a non-factor randomized complete block design (RCBD). There were four treatments consisting of a combination of fertilizers and melon varieties, namely P1 (KCL and new madesta varieties), P2 (KNO3 and new madesta varieties), P3 (KNO3 and glamour varieties), P4 (KCL, KNO3 and new madesta varieties), with 6 replications so that there were 24 experimental units. The results showed that P3 treatment gave the best results in stem diameter, number of leaves, early flowering age, fruit weight and fruit diameter. P2 treatment gave the highest average yield on the parameters of fruit flesh thickness and total soluble solids (PTT). P3 treatment has the potential for further research, P3 treatment can fulfill the expected criteria with the highest fruit weight of most treatments. The provision of alternative K sources did not give a real response to melon plants, thus it would be more efficient to use K sources that are more economical in the melon cultivation system carried out.
Optimization of Growth and Production of Two Kale Varieties Through the Addition of Led Light Asyar, Ahmad Wildan; Budiman, Budiman; Sugeru, Herik; Samudra, Bagas Elang
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.v25i1.8527

Abstract

The high demand for water spinach demands increased production through more efficient cultivation techniques. One important factor that affects plant growth and production is lighting. This study aims to optimize the growth and production of two varieties of water spinach by adding LED lights with a certain light spectrum and duration. The study used a Nested Complete Randomized Block Design (RBD) consisting of two factors. The first factor is the light spectrum (L) with 3 levels, namely the red light spectrum of the 18/6 photoperiod (L1), the blue light spectrum of the 18/6 photoperiod (L2), and the red-blue light spectrum of the 18/6 photoperiod (L3). The second factor is the variety of water spinach (V) consisting of two levels, namely the curly water spinach variety (V1) and the lacinato water spinach variety (V2). Each treatment was repeated 4 times so that there were 24 experimental units. Data analysis used ANOVA with a 5% confidence level and further testing using the Duncan test. The results showed that the growth and production of the two varieties of water spinach were more optimal with the addition of the red-blue light spectrum.
Effects of Biological Fertilizer and NPK on Red Chili Growth in Automated Drip Irrigation Systems Ramdan, Adam Wafi; Aisyah, Aisyah; Sugeru, Herik; Asnur, Paranita; Fahnum, Budi Utami
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.v25i1.8566

Abstract

Red chili (Capsicum annuum L.) is crucial for household consumption and the food industry, but its productivity declines due to soil fertility depletion caused by excessive chemical fertilizer use. This study aims to evaluate the effects of combining biological fertilizer and NPK on the growth and yield of red chili plants. A factorial completely randomized design (CRD) experiment with 12 treatment combinations was conducted at the UG Technopark Greenhouse, Cianjur, West Java, from May to August 2023. The first factor was the frequency of biological fertilizer application (none, biweekly, weekly, and twice a week), while the second factor was the NPK fertilizer dosage (none, 50%, and 100% of the recommended dose). The results showed that both fertilizers significantly influenced plant growth and yield, with the optimal treatment being the application of biological fertilizer twice a week combined with 100% of the recommended NPK dosage. A significant interaction between NPK dosage and biological fertilizer frequency was observed, affecting plant performance. These findings highlight the importance of integrating biological fertilizers with NPK to enhance red chili productivity while reducing reliance on chemical inputs, contributing to more sustainable agricultural practices.
SISTEM DETEKSI UNSUR HARA MIKRO ESSENSIAL Fe DAN Mn PADA TANAH UNTUK PENGEMBANGAN SISTEM PERTANIAN CERDAS DAN PRESISI Kurniasih, Ratih; Sugeru, Herik
Jurnal Agrotek Tropika Vol. 13 No. 1 (2025): JURNAL AGROTEK TROPIKA VOL 13, FEBRUARI 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i1.8335

Abstract

Unsur hara mikro essensial dalam tanah sangat penting untuk pertumbuhan tanaman. Unsur hara mikro dibutuhkan dalam jumlah sedikit sehingga harus terukur secara presisi di dalam tanah agar tidak terjadi defisiensi ataupun toksisitas pada tanaman. Dalam perkembangan dunia pertanian yang cerdas dan presisi maka sistem deteksi hara menjadi salah satu teknologi yang tepat guna untuk mengatasi permasalahan analisis di laboratorium yang mahal, lama dan tidak spesifik lokasi. Tujuan dari penelitian yang dilakukan yaitu mendapatkan model optimasi untuk sistem deteksi unsur hara mikro essensial dalam tanah berbasis potensial redoks. Tahapan penelitian yang dilakukan yaitu merancang hardware berupa prototipe alat deteksi unsur hara mikro dan perancangan software. Selanjutnya uji kalibrasi dan validasi alat dilakukan dalam beberapa tahap, yaitu uji kalibrasi dan validasi alat menggunakan alat ukur portabel pH dan EC meter. Aproksimasi dari uji kalibrasi dan validasi digunakan untuk source code pada sistem deteksi hara. Model aproksimasi yang digunakan pada prototipe ini adalah persamaan regresi kubik. Dari model aproksimasi yang digunakan maka dapat menghasilkan prototipe sistem deteksi unsur hara mikro essensial dengan persentase akurasi yang tinggi pada indikator pH yaitu sebesar 95.63% sedangkan pada indikator EC memiliki akurasi sebesar 79.64%. Berdasarkan pendekatan nilai Eh–pH maka didapatkan bahwa pada 7 lokasi pengamatan menunjukkan terdapat 4 titik lokasi yang unsur Fe berada dalam bentuk Fe2+ dan terdapat 3 titik lokasi pengamatan yang unsur Fe berada dalam bentuk Fe(OH)3. Pada diagram pH-Eh untuk unsur hara mikro Mn menunjukkan bahwa unsur Mn tersedia berada dalam bentuk Mn2+.
Pеrbаndіngаn Tеknіk Klаsifikаsi Dаtа Mining untuk Pеnеntuаn Jеnіѕ Jаmur Bеrаcun Sugeru, Herik; Hіlmі А’іnі Nurthoyіbаh; Muhаmmаd Аffаrеl Аbhіnаyа Nur Fаjаr; Vіndіаr Johаn Dіputrа; Muchаmmаd Yаfіk Rаmаdhаnі Іlhаm
Jurnal IT UHB Vol 5 No 3 (2024): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v5i3.1646

Abstract

Penambangan data merupakan proses penemuan pengetahuan dalam basis data yang melibatkan identifikasi, validasi, kebaruan, dan pemahaman terhadap pola data yang besar dan kompleks. Salah satu bidang yang dapat menerapkan analisis berbasis data mining adalah pertanian. Jаmur mеrupаkаn ѕаlаh ѕаtu komodіtаѕ pеrtаnіаn yаng mеmіlіkі nutrіѕі tіnggі dan nіlаі еkonomі yаng mеnjаnjіkаn dаlаm аgrіbіѕnіѕ. Klasifikasi jamur menjadi penting untuk menentukan apakah jamur aman dikonsumsi atau beracun. Penelitian ini bertujuan untuk mengevaluasi akurasi klasifikasi berbagai algoritma dalam dataset jamur, yang diperoleh dari UC Irvine Machine Learning Repository. Beberapa algoritma yang diuji meliputi k-Nearest Neighbor (kNN), Naive Bayes, Support Vector Machine (SVM), Decision Tree, Logistic Regression, Linear Discriminant Analysis, Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Extra Trees Classifier, AdaBoost, dan Voting Feature Intervals 5 (VFI 5). Berdasarkan hasil penelitian, akurasi Hold Out dari algoritma tersebut berkisar antara 0,8763 hingga 1,0000, sedangkan akurasi Cross Validation berkisar antara 0,8396 hingga 1,0000. Algoritma Decision Tree (Tuning Model), AdaBoost, dan ANN menunjukkan akurasi tertinggi (100%) pada kedua metode pengujian. Namun, penggunaan Cross Validation lebih disarankan untuk menghindari risiko overfitting, meskipun memerlukan waktu pemrosesan yang lebih lama dibandingkan dengan Hold Out. Algoritma seperti k-NN, Decision Tree, ANN, AdaBoost, dan CNN berpotensi mengalami overfitting, terutama jika dataset tidak cukup kompleks atau kelas data tidak seimbang.