Claim Missing Document
Check
Articles

Pembuatan Pupuk Organik Cair (POC) Berbahan Sampah Buah-Buahan dan Sayuran pada Rasio Bahan dan Headspace yang Berbeda I Putu Yogi Krisnadi Rahardi; Ida Ayu Gede Bintang Madrini; I Made Anom Sutrisna Wijaya
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 11 No 2 (2023): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2023.v11.i02.p15

Abstract

Composting liquid organic fertilizer, composting efficiency may be gauged using the variation in material volume with headspace. The purpose of this study is to ascertain how the ratio of materials to headspace affects the rate of composting and the quality of the POC that results, as well as to identify the ratio of materials to headspace that yields the best POC quality in accordance with the minimal technical POC requirements based here on Decision of the Minister of Agriculture of the Republic of Indonesia No. 261/KPTS/SR.310/M/4/2019. Composting uses an anaerobic system and the materials used are fruit and vegetable waste. The method used is a one-factor Completely Randomized Design.The factor used is the ratio of material and headspace, namely 1:5, 2:4, 3:3, 4:2, and 5:1. The five treatment were repeated 3 times to obtain 15 experimental units. The research parameters include the initial content of the material, total microbial bioactivator, temperature, pH, material height shrinkage, nitrogen, phosphorus, potassium, and C-organic content, C/N ratio, organic matter, EC, and total POC bacteria. Data obtained from observations were analyzed by ANOVA test and continued with Duncan's test. In general, the quality of the POC produced complies with the minimum technical requirements with POC temperature 29,3°C-29,8°C, POC pH 5,3-6,3, nitrogen content 2,01%-2,15%, phosphorus 2,02%-2,09%, potassium 2,03%-2,08%, C-organic 2,39%-3,69%, and total POC bacteria 5,31×107-3,12×109cfu/ml. The ratio of materials and headspace affect the rate of composting and the quality of the resulting POC. Treatment P2 (2:4) is the best treatment based on results of data analysis and parameters used.
Kajian Proses Fermentasi Urin Sapi dengan Beberapa Model Diffuser Ni Luh Trimayanti; Yohanes Setiyo; I Made Anom Sutrisna Wijaya
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 11 No 2 (2023): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2023.v11.i02.p17

Abstract

Cow urine has the potential to become biourin. This study aims to determine the effect of the type of diffuser on the quality of biourin, as well as to determine the best type of diffuser during the fermentation process. This study used a completely randomized design consisting of 5 treatments and 3 replications. Each treatment contained 10 liters of urine, 2% nitrifying bacteria, and 2% molasses. The treatment was carried out without aeration, treatment using aeration without a diffuser, treatment using a fine bubble diffuser, treatment using a coarse bubble diffuser, and treatment using an aerated stone diffuser. This fermentation was carried out for 20 days with measurements every 5 days. Parameters observed were temperature, pH, TDS, EC, C-Organic, N-Total, and C/N Ratio during the fermentation process. The results of the study showed that the use of several types of diffusers had a significant effect on the process of fermenting cow urine. The fermentation process without using a diffuser showed that as the fermentation time increased, the pH value decreased from 7.72 to 7.54. On the 20th day of bio-urine fermentation, the highest Biochemical Oxygen Demand value was shown by the treatment using a fine bubble diffuser with a value of 9.2 mg/l. Of the five urine fermentation treatments, only fermentation with a diffuser met standard No.70/Permentan/SR.140/10/2011. Treatment with a type of fine bubble diffuser is the best treatment.
Analisis Hubungan Nilai SPAD Dengan Nilai Indeks Vegetasi pada Tanaman Padi yang Terserang Penyakit BlasMenggunakan Citra Multispektral Gede Suyoga Arista Putra; I Made Anom Sutrisna Wijaya; Sumiyati
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 12 No 2 (2024): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JBETA.2024.v12.i02.p026

Abstract

Blast disease is a disease that attacks the leaves of rice plants. Blast disease attacks can affect chlorophyll and the health of rice plants. Leaf chlorophyll can be estimated using a SPAD chlorophyll meter to obtain the SPAD value. The vegetation index v alue has a strong relationship with chlorophyll. This study aims to obtain the relationship between SPAD value and Vegetation Index value in rice plants affected by blast disease using multispectral imagery and determine the level of correlation between SP AD value and Vegetation Index value in rice plants affected by blast disease using multispectral imagery. SPAD value sampling was carried out on 3 rice field plots, each plot was taken 5 points diagonally, and each point was taken 9 rice paddy clumps. Next , multispectral image acquisition using the DJI Phantom 4 Drone with multispectral cameras at altitudes of 15 m, 30 m, and 45 m. The image is then mosaiced using Agisoft Metashape, then normalized with Photoshop. Next, the vegetation index analysis of NDVI , CI G , and SAVI using QGIS 3.16, followed by regression analysis between the SPAD value and the vegetation index value. The results of the analysis showed that the three vegetation indices at various altitudes produced a linear relationship and the degree of correlation ranged from strong to very strong. Strong correlation rate on NDVI 45 m (65.4%), SAVI 45 m (63.1%), and very strong correlation on NDVI index 15 m (94.2%), 30 m (79.5%), CI G 15 m (80.5%), 30 m (84.8%), 45 m (82.5%), and SAVI 15 m (80.5%), 30 m (78%). It can be concluded that the NDVI vegetation index with a height of 15 m provides the strongest correlation value
Co-Authors Adelia Lany Diana Adyaguhyatriko, Ida Bagus Ketut Anak Agung Ayu Mirah Adi Anak Agung Keswari Krisnandika Anak Agung Putu Agung Suryawan W Ananda Pradnyasuari Angelia Puji Lestari Anis Novita Sari Anton Anugrah Aprianus Yupan Dharma Mbalur Atmaja, N. Bawa Chiharu Hongo Devi Suharni Tamba Dewa Putu Yoga Gautama Dewa Putu Yoga Gautama Gautama DWI PUTRA DARMAWAN Eisaku Tamura Elsafania Kristiani G.P. Ganda Putra Gede Andri Gede Arda Gede Suyoga Arista Putra Gede Teguh Sigmarawan Gusti Bagus Dwi Anugrah Harimurti Gusti Bagus Eka Chandra Harimurti, Gusti Bagus Dwi Anugrah Hervin Retno Pebrianto I Gede Ngurah Salpatira Widayana I GUSTI AGUNG AYU AMBARAWATI I Gusti Ayu Nadya Prasita Pasimpangan I Gusti Ketut Arya Arthawan I Gusti Ngurah Apriadi Aviantara I Gusti Putu Eka Permana I Kadek Wahyu Wiguna I Ketut Merta Atmaja I Ketut Satria Rahadi I Ketut Suter I Made Marta Supriawan I Made Nada I Made Nada I Made Prasetia Candra Andika I Made Wirawan Suputra I Muna Bhaskara I Nyoman Sucipta I Putu Arya Patrama Kharisna Putra I Putu Gede Budi Sanjaya I Putu Gede Budisanjaya I Putu Gede Budisanjaya I Putu Mas Pradnyana Wibawa I Putu Riadi Handika I Putu Sukertayasa I Putu Sukertayasa I Putu Surya Wirawan I Putu Yogi Krisnadi Rahardi I Wayan Aris Santika Putra I WAYAN BUDIASA I Wayan Tika I Wayan Widia I. A. G. Bintang Madrini Ida Ayu Dwi Giriantari Ida Ayu Kusuma Tri Handayani Ida Ayu Rina Pratiwi Pudja IDA AYU RINA PRATIWI PUDJA Ida Ayu Rina Pratiwi Pudja Ida Bagus Komang Edo Setiawan Ida Bagus Putu Gunadnya Ida Bagus Putu Gunadnya IPutu Gde Budisanjaya IPutu Gede Budisanjaya. Budisanjaya. IPutu Mas Pradnyana Wibawa Kadek Agus Krisna Bayu KOMANG AYU NOCIANITRI Komang Puspha Nirmalayani Linda Puji Ayu Lestari Luh Putu Wrasiati Made Arya Bhaskara Putra Made Arya Bhaskara Putra MADE PHARMAWATI Made Praditiya Widyantara Made Ria Defiani Muhammad Azizi Rido Setiawan N. Bawa Atmaja Ni Kadek Sintya Resmiani Ni Ketut Rai Wulandari Ni Luh Putu Jullyantari Ni Luh Rani Sulasti Ni Luh Rani Sulastri Ni Luh Trimayanti Ni Made Wartini Ni Made Yusa Ni Nyoman Sulastri Ni Nyoman Sulastri Ni Wayan Sedani Nirmalayani, Komang Puspha Nyoman Dhira Prayasa Pande Ketut Diah Kencana Pande Putu Indra Yoginugraha Pande Putu Indra Yoginugraha Poppy Diana Sari Prihandoni Widodo Putra, Gede Suyoga Ariasta Putra, I Putu Arya Patrama Khrisna Risa Panti Ariani Rosurya Situmorang Rukmi Sari Hartati Sadyasmara, Cokorda Anom Bayu Samur, Gregorius Adelbertus Situmorang, Rosurya Sri Handayani Nofiyanti Sudiarta, I Made Sumiyati Sumiyati Harimurti Sumiyati Sumiyati Sumiyati Sumiyati SUMIYATI SUMIYATI Taruli Lasmaria Simanjuntak Viqtor Arya Nugraha Wahyu Octavianus Wahyu Octavianus Wahyuni Mawadatin Niklah Wayan Anik Wahyuni Widyalis Rani Tamara Wily Goldramijaya Yohanes Setiyo Yunita Kusumaning Ratri