Article Per Year (5 Year)
p-Index From 2021 - 2026
3.199
P-Index
This Author published in this journals
All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Buletin Agrohorti Jurnal Hortikultura Indonesia (JHI) Jurnal Agro IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Tropical Crop Science KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JURNAL MAHAJANA INFORMASI Jurnal Pengabdian Masyarakat Applied Environmental Science
Purwono
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Public Health Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Cassava growth and yield on ultisol of different soil organic carbon content and NPK fertilizer levels Anwar, Syaiful; Santosa, Edi; Purwono
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 51 No. 3 (2023): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v51i3.47806

Abstract

The demand for cassava tuber in Indonesia is high, however, domestic production is still limited therefore increasing production is important. Ultisol soils have the potential for cassava production, but low soil fertility in such soils needs to be improved. The research aimed to evaluate the effect of soil organic carbon (SOC) and NPK fertilizer on the growth and yield of cassava tuber in an ultisol. The experiment was conducted at the Jonggol Experimental Farm, IPB Bogor, West Java from September 2022 to January 2023. The experiment used a split-plot design with three replications. The main plot was SOC level of 1.93 (control), 2, 3, and 4%, and the subplot was NPK 15-15-15 level of 150, 300, 450, and 600 kg ha-1. SOC level was increased through the application of cow manure 0, 3.59, 54.93, and 106.27 tons ha-1 corresponding to SOC levels of 1.93 (control), 2, 3, and 4%, respectively. Results showed that enhancing SOC up to 3% and NPK 300 kg ha-1 were enough to support cassava growth as shown by plant height, stem diameter, and leaf number. The leaf number was the highest in the 3% SOC+150 kg NPK, 2% SOC+300 kg NPK or+450 kg NPK, and control+600 kg ha-1 NPK treatment. Leaf greenness was only affected by adding NPK fertilizer; a high greenness value was obtained at NPK level of > 150 kg ha-1 and 300 to 600 kg ha-1 resulting in non-significantly leaf greenness. The status of N and K in the leaves increased by SOC and NPK treatments, while the P status was unaffected. SOC at a level of 3% and NPK at a level of 150 kg ha-1 stimulated cassava to produce the highest fresh tuber weight (1.85 kg per plant) at 4 months after planting. Cassava productivity in ultisol soil can be increased by applying cow manure of 54.93 tons ha-1 to enhance SOC up to 3% combined with NPK of 150 kg ha-1. Keywords: Extensification; food security; intensification; tuber production; nutrient uptake
Control of iron stress in water-saturated tidal land using ameliorant and its impact on rice productivity Wahyuni Lestari; Ghulamahdi, Munif; Purwono
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 51 No. 2 (2023): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/ija.v51i2.48224

Abstract

Fe stress is a problem in swamp lands that reduces the growth and yield of rice. Providing various types of ameliorants and selecting rice varieties are considered an effort to obtain high rice productivity in tidal land. The research aimed to study the effect of various ameliorants on rice growth and production, and to obtain high productivity of tolerant variety to iron stress at different locations of tidal land. The research was conducted in Karya Bakti Village (1°10'34.8" S and 104°09’31.1” E), Rantau Rasau, East Tanjung Jabung, Jambi. This study adopted a split-plot design with different types and doses of ameliorant as the main plots and several rice varieties as the subplots with three replications. The results showed that the application of ameliorant rice husk ash, coconut husk ash, empty bunch oil palm compost, and goat manure stimulated vegetative and generative growth. Meanwhile, the Inpari 16 Pasundan variety was proven to have better growth and higher production as described through plant height, fresh weight of shoots and roots, dry weight of shoots and roots, root length, number of productive tillers, number of grains per panicle, 1,000 grain weight, and harvested dry grain. The highest rice production was in the Inpari 16 Pasundan variety, 9.3 tons ha-1 (low-Fe) and 7.6 tons ha-1 (high-Fe). The combination of rice husk ash (0.25 tons ha-1) + coconut husk ash (0.25 tons ha-1) + empty bunch oil palm compost (0.75 tons ha-1) + goat manure (0.75 tons ha-1) was the best combination to increase rice productivity. Inpari 16 Pasundan is considered a tolerant variety on tidal land with high-Fe stress. The interaction between ameliorants and varieties was significant on plant height at ages 2 and 4 weeks after planting at low-Fe, number of productive tillers at high-Fe, root length at low-Fe and high-Fe, 1,000-grain weight, and number of grains per panicle at low-Fe, and harvested dry grain at low-Fe and high-Fe. Keywords: B-type tidal fields, Fe stress cultivation, organic ameliorant, tolerant rice variety, water-saturated cultivation
Optimizing cultivation system and pest management in different types of rice varieties Andryan, Ricky; Junaedi, Ahmad; Purwono; Prasetyo , Lilik Budi; Izzawati Nurrahma, Arinal Haq
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 52 No. 2 (2024): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v52i2.54078

Abstract

Improving rice productivity and efficiency is the main goal of cultivation techniques to meet the demand for rice production. The aim of this research was to evaluate the suitability of rice varieties in cultivation systems, namely: organic cultivation + biological pest management (BPM), inorganic cultivation + BPM, and conventional cultivation. Different types of rice varieties, namely New Superior Varieties (NSV: INPARI-30, INPARI-32), New Plant Type (NPT: IPB-3S), and Superior Varieties from West Sumatra (Batang Piaman, Anak Daro), may exhibit differences in agronomic performance across various cultivation systems. This research was conducted at the Sawah Baru Babakan Experimental Farm, IPB University, Dramaga Bogor, using a factorial nested design with 4 replications. The results based on yield per hill and plot showed that Batang Piaman and INPARI-30 varieties were suitable for all organic + BPM, inorganic + BPM, and conventional cultivational systems. The INPARI-32 and IPB-3S varieties were more suitable for conventional cultivation and inorganic + BPM; while the Anak Daro variety was better in organic cultivation + BPM. Utilizing varieties with different characteristics for better yield performance could be considered with obtaining the suitability of the cultivation system, whether organic + BPM, inorganic + BPM, or conventional. Keywords: Chemical pest control; conventional cultivation; organic cultivation; integrated pest management
Growth and water-needs analysis of sweet corn and peanuts in different cropping systems Ramadhani, Rezky Puryan; Santosa, Edi; Purwono
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 52 No. 2 (2024): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v52i2.57440

Abstract

Maize and peanuts are important food crops in Indonesia and are generally planted in monoculture and intercropping systems. The water required for monoculture and intercropping is believed to be different. However, comparison analysis of water requirements in monoculture and intercropping is rarely conducted. The research aimed to evaluate the growth and production of sweet corn and peanuts in monoculture and intercropping systems concerning water requirement and crop coefficient. The study was conducted at IPB Experimental Station in Leuwikopo, Bogor, Indonesia from September to December 2022. Sweet corn and peanuts were planted in different cropping systems, i.e., monoculture and intercropping. Water consumption of both cropping systems was evaluated in every growing stage. The experiment used a completely randomized block design and was repeated three times. Results showed that sweet corn growth was not significantly different among cropping systems, but yield from intercropping was lower than monoculture. Intercropped peanuts grew lower than monoculture but did not show any significant difference in yield among cropping systems. Water use efficiency in intercropping was higher than monoculture for both crops, indicating intercropping is a suitable cropping system for limiting soil water availability. The land equivalency ratio was 1.80, concluding that intercropping was more efficient than monoculture in land use by 80%. Keywords: climate change; crop coefficient; intercropping; land equivalent ratio; water use efficiency
Ketepatan Taksasi Produksi Tebu (Saccharum officinarum L.) di PG Madukismo Yogyakarta Hanny, Wanda Alifa; Purwono; Suwarto
Buletin Agrohorti Vol. 11 No. 3 (2023): Buletin Agrohorti
Publisher : Departemen Agronomi dan Hortikultura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrob.v11i3.50766

Abstract

Tebu (Saccharum officinarum L.) termasuk komoditas tanaman yang banyak dibutuhkan dalam rumah tangga dan industri, sehingga produksi diperlukan untuk memenuhi permintaan. Tingginya kebutuhan gula nasional mendorong perusahaan tebu agar teliti dalam memperkirakan total produksi mendatang. Metode untuk memperkirakan total produksi panen adalah taksasi produksi. Taksasi digunakan sebagai acuan dalam perencanaan panen agar dapat menghitung kebutuhan tenaga kerja, peralatan panen, serta kapasitas giling. Penelitian bertujuan mempelajari ketepatan taksasi tebu pada bulan Maret dengan realisasi produksi di kebun tebu PG Madukismo, Yogyakarta di wilayah Sleman dan Bantul. Analisis data menggunakan uji homogenitas t-student dengan taraf kesalahan α=5%. Nilai taksasi produksi secara umum belum mencapai ketepatan yang baik karena perbedaan taksasi-produksi di luar batas yang ditentukan yakni 95%. Nilai ketepatan taksasi tahun 2023 pada Rayon Bantul yakni 100.25% dan Rayon Sleman 106.46%. Mayoritas kebun di Rayon Bantul dan Rayon Sleman belum memenuhi standar ketepatan taksasi-produksi, meskipun secara rata-rata selisihnya tidak lebih dari 5%. Upaya yang dapat dilakukan untuk meningkatkan ketepatan taksasi-produksi yakni dengan memperhitungkan kemungkinan adanya kehilangan hasil tebu yang disebabkan oleh beberapa faktor seperti panen dengan tunggul tinggi, serangan hama dan penyakit, kerusakan akibat cuaca buruk, serta ketelitian pengamatan dalam perhitungan taksasi. Kata kunci: kehilangan panen, perencanaan, rendemen, selisih, standar
Pertumbuhan Berbagai Jenis Bahan Perbanyakan Sidaguri (Sida rhombifolia) pada Beberapa Komposisi Media Tanam Sofiana, Annisa; Kurniawati, Ani; Purwono
Buletin Agrohorti Vol. 12 No. 1 (2024): Buletin Agrohorti
Publisher : Departemen Agronomi dan Hortikultura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrob.v12i1.51384

Abstract

Sidaguri (Sida rhombifolia) merupakan tanaman berkhasiat obat dari famili malvaceae yang masih jarang dibudidayakan. Pengambilan sidaguri dari alam untuk memenuhi kebutuhan industri obat secara terus menerus mengancam keberadaan sidaguri. Penelitian ini bertujuan untuk mengetahui jenis bahan perbanyakan, komposisi media tanam, dan interaksi keduanya untuk menghasilkan bibit dengan pertumbuhan optimal dan efisien. Rancangan percobaan yang digunakan adalah Rancangan Kelompok Lengkap Teracak (RKLT) faktorial dengan tiga ulangan. Terdapat tiga perlakuan jenis bahan perbanyakan yaitu benih, setek batang, dan setek pucuk serta empat komposisi media tanam yaitu tanah, tanah + kompos, tanah + kompos + arang sekam, dan tanah + kompos + pasir (1:1 v/v). Setiap satuan percobaan terdapat 10 tanaman sehingga total terdapat 360 tanaman. Hasil penelitian menunjukkan bahwa terdapat perlakuan yang menghasilkan bibit paling baik berdasarkan pengaruh jenis bahan perbanyakan, namun komposisi media tanam dan interaksi kedua faktor tidak menunjukkan hasil yang berbeda nyata. Bahan perbanyakan yang baik digunakan sebagai bahan perbanyak sidaguri yaitu setek batang yang menunjukkan hasil paling baik pada daya tumbuh (56.67%), tinggi tanaman (29.4 cm), dan jumlah cabang (3.5) yang dicapai pada umur 8 MST. Kata kunci: bahan perbanyakan, diferensiasi sel, malvaceace, media tanam
Systematic Literature Review:  Penerapan Machine Learning dalam Diagnosis dan Prediksi Penyakit Diabetes Handayani, Oktavia Putri; Purwono; Ashari, Imam Ahmad; Ardianto, Rian
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 14 No 2 (2025): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v14i2.16642

Abstract

Diabetes mellitus is a chronic disease with a growing global prevalence, posing significant challenges for healthcare systems worldwide. Machine Learning (ML) offers promising solutions for early diagnosis and prediction by analyzing complex medical data efficiently. This study adopts a Systematic Literature Review (SLR) method guided by the PRISMA protocol to analyze 15 open-access articles published between 2022 and 2025 from the ScienceDirect database. These studies explore the use of various ML algorithms—including Support Vector Machine (SVM), Random Forest (RF), and Convolutional Neural Network (CNN)—in diagnosing diabetes. The main objective is to evaluate the effectiveness, strengths, and limitations of each algorithm in clinical applications. The review highlights current trends, performance comparisons, and challenges in implementing ML models for diabetes diagnosis. The findings are expected to provide valuable insights for researchers and practitioners aiming to develop more accurate, efficient, and applicable ML-based diagnostic systems for improved diabetes management and early intervention.
Circular economy opportunities for inorganic waste management: An applied analysis based on recycling center data Ariyanti, Agni Lili; Fakhirah, Aisyah; Alfareza, Akbar Putra; Surdianto, Arif Nur; Solikhah, Feivie Wihdya; Suleman, Yulia Azizah; Laksono, Gangsar Edi; Purwono
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2193

Abstract

Background: Waste is no longer regarded solely as refuse but also as a potential resource in the circular economy, particularly through recycling center (hereinafter referred to as pusat daur ulang-PDU) mechanisms. This study aims to analyze the circular economic potential of inorganic solid waste based on actual selling price data from PDUs in Purbalingga, Central Java, Indonesia. Previous studies have highlighted the importance of waste separation and local PDUs in promoting community-based waste management, yet few have quantified the circular economic value of specific inorganic waste types. Methods: This research employs a descriptive quantitative approach using secondary data collected from government institutions and local PDUs. Analytical methods include compositional waste analysis and basic statistical comparisons (T-Test) across years and waste types (polyethylene terephthalate-PET, scrap papers, and cans). Findings: PET accounted for an average of 18.53% of total waste between 2021 and 2024, far higher than paper (8.96%) and cans (0.66%). Statistical analysis confirmed significant differences between PET and the other two types (p < 0.05, Cohen’s d > 3). Scenario modeling showed that if 14.8% of the population participated by contributing 3 kg of PET per household, approximately 460 tons/day could be recovered, generating meaningful household income and reducing landfill burden. Conclusion: The study concludes that supporting PDUs and encouraging less than 20% household participation in PET separation could substantially reduce waste volumes while strengthening household income streams. Novelty/Originality of this article: The integration of compositional waste data and local price structures provides a data-driven valuation of inorganic household waste, offering practical guidance for policy and local planning in sustainable circular economy strategies.
Co-Authors Achmad Gunawan AHMAD JUNAEDI Alfareza, Akbar Putra Anas Dinurrohman Susila Andryan, Ricky Ani Kurniawati Ardianto, Rian Ariyanti, Agni Lili Budi Nugroho Dermawan, Rahmansyah Dermawan Dulbari Edi Santosa Eka Ardhianto Eko Sulistyono Fakhirah, Aisyah Faqih Udin Fitri Alfiyah Gunawan, Achmad Handayani, Oktavia Putri Hanny, Wanda Alifa Herdiyanti, Heni I Nyoman Widiarta Imam Ahmad Ashari, Imam Ahmad Iskandar Lubis Izzawati Nurrahma, Arinal Haq Khoirun Nisa Laksono, Gangsar Edi LILIK BUDIPRASETYO Lutviana, Lutviana Munif Ghulamahdi Oktavia Putri Handayani Ramadhani, Rezky Puryan Rian Ardianto Ridwan, Ahmad Fauzi Setiawan Sofiana, Annisa Solikhah, Feivie Wihdya Sugiyanta Suleman, Yulia Azizah Surdianto, Arif Nur Suwarto Suwarto Suwitono, Bayu Syaiful Anwar Wahyuni Lestari Winarso D. Widodo