Garuda - Garba Rujukan Digital

PENGARUH DOLOMIT TERHADAP SIFAT KIMIA TANAH, BAKTERI PELARUT FOSFAT, SERAPAN Ca, Mg, P DAN PRODUKSI JAGUNG MANIS Nopriani, Lenny Sri; Ramadhani, Filka; Ishaq, Rizki Maulana; Kurniawan, Syahrul; Hidayat, Muhamad Taufiq; Albarki, Georona Kusma
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.20

weet corn productivity in Indonesia is still in the low category. One of the causes is the problem of soil with low pH. Soil with a low pH causes the availability of nutrients to decrease, thereby inhibiting plant growth and development. Efforts can be made to add dolomite, because hydrolyzed dolomite can increase nutrient availability in the soil. Therefore, this research was carried out with the aim of analyzing the effect of adding various doses of dolomite on soil chemical properties, plant uptake of Ca, Mg and P, population of phosphate solubilizing bacteria, and sweet corn productivity in the Tegalan Land of Junrejo Village, Batu City, East Java. The research design used a randomized block design (RAK) consisting of 9 treatments with 3 replications. Treatment consisted of: M0 = control; M1 = 100% N, P, K; M2 = 100% N,P,K + 100% Kieserite; M3 = 100% N,P,K + 50% Dolomit; M4 = 100% N,P,K + 100% Dolomit; M5 = 100% N,P,K + 150% Dolomit; M6 = 75% N,P,K + 50% Dolomit; M7 = 75% N,P,K + 100% Dolomit; M8 = 75% N,P,K + 150% Dolomit. The data was analyzed for diversity using R studio software and continued with the DMRT (Duncan Multiple Range Test) test at 5% level. Next, to see the relationship and influence between parameters, correlation and regression tests were carried out. The findings demonstrated that adding 2.8 tonnes of dolomite per hectare might raise soil CEC (50.61%) and pH (13.41%). In addition, the addition of 4.2 tons/ha of dolomite was able to decrease soil P-available (5.65%), increase Ca-dd (26.4%), Mg-dd (85%), Ca absorption (165.12%), Mg absorption (366.67%), P absorption (78.57%), and sweet corn yield (78.04%). The addition of different doses of dolomite did not significantly alter the overall population parameter of phosphate-solubilizing bacteria. Furthermore, the link between sweet corn yield and nutritional absorption was both robust and weak. The increase in sweet corn output was impacted by P, Ca, and Mg absorption by 54.54%, 41.21%, and 42.79%, respectively.

PENINGKATAN EFISIENSI PENGGUNAAN BORON DALAM OPTIMASI PRODUKSI JAGUNG MANIS DI LAHAN KERING Nugroho, Gabryna Auliya; Hidayat, Muhamad Taufiq; Albarki, Georona Kusma; Siswanto; Natajaya, Andrean; Kurniawan, Syahrul
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.17

The range between boron deficiency and toxicity in plants is utterly narrow, so that the certain dose of boron fertilizer is required for plants. Indicators of optimum boron fertilization can be measured from plant production and boron use efficiency (BUE) value. BUE influenced by the amount of soluble B-soil, type of B fertilizer, amount of boron input, type of plant, and adequacy of available macronutrients (NPK). However, excessive application of NPK base fertilizer from inorganic fertilizers can trigger soil degradation. Currently, there has not been much research that measures the reduction in the dose of NPK base fertilizer combined with boron fertilizer on plant BUE. The combination of reducing the dose of NPK base fertilizer and boron fertilizer was tested on sweet corn plants on production and BUE. This study was conducted with a randomized block design with 7 treatments, namely without fertilization (K0), base fertilization (D1), 100% base fertilization and 50–15% borate (D2–D4), and 75% base fertilization and 50–15% borate (D5–D7). The results of the initial soil analysis showed low boron content in the soil, so borate fertilization was required to provide nutrients for sweet corn plants. Application of NPK base fertilizer (100%) and addition of borate fertilizer at a dose of 50-100% (~3-6 kg/ha) significantly increased growth, plant biomass, B uptake, boron recovery efficiency (BRE), and B fertilizer efficiency ratio, compared to lower NPK-base fertilizer. Based on the estimated response curve, the recommended dose to achieve optimum-maximum sweet corn production and maximum boron recovery efficiency is 100% macro inorganic fertilization (urea, SP-36, KCl) combined with 5.72-6.75 kg/ha borate fertilizer.

PENGARUH DOLOMIT TERHADAP SIFAT KIMIA TANAH, BAKTERI PELARUT FOSFAT, SERAPAN Ca, Mg, P DAN PRODUKSI JAGUNG MANIS Nopriani, Lenny Sri; Ramadhani, Filka; Ishaq, Rizki Maulana; Kurniawan, Syahrul; Hidayat, Muhamad Taufiq; Albarki, Georona Kusma
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.20

weet corn productivity in Indonesia is still in the low category. One of the causes is the problem of soil with low pH. Soil with a low pH causes the availability of nutrients to decrease, thereby inhibiting plant growth and development. Efforts can be made to add dolomite, because hydrolyzed dolomite can increase nutrient availability in the soil. Therefore, this research was carried out with the aim of analyzing the effect of adding various doses of dolomite on soil chemical properties, plant uptake of Ca, Mg and P, population of phosphate solubilizing bacteria, and sweet corn productivity in the Tegalan Land of Junrejo Village, Batu City, East Java. The research design used a randomized block design (RAK) consisting of 9 treatments with 3 replications. Treatment consisted of: M0 = control; M1 = 100% N, P, K; M2 = 100% N,P,K + 100% Kieserite; M3 = 100% N,P,K + 50% Dolomit; M4 = 100% N,P,K + 100% Dolomit; M5 = 100% N,P,K + 150% Dolomit; M6 = 75% N,P,K + 50% Dolomit; M7 = 75% N,P,K + 100% Dolomit; M8 = 75% N,P,K + 150% Dolomit. The data was analyzed for diversity using R studio software and continued with the DMRT (Duncan Multiple Range Test) test at 5% level. Next, to see the relationship and influence between parameters, correlation and regression tests were carried out. The findings demonstrated that adding 2.8 tonnes of dolomite per hectare might raise soil CEC (50.61%) and pH (13.41%). In addition, the addition of 4.2 tons/ha of dolomite was able to decrease soil P-available (5.65%), increase Ca-dd (26.4%), Mg-dd (85%), Ca absorption (165.12%), Mg absorption (366.67%), P absorption (78.57%), and sweet corn yield (78.04%). The addition of different doses of dolomite did not significantly alter the overall population parameter of phosphate-solubilizing bacteria. Furthermore, the link between sweet corn yield and nutritional absorption was both robust and weak. The increase in sweet corn output was impacted by P, Ca, and Mg absorption by 54.54%, 41.21%, and 42.79%, respectively.

EFISIENSI APLIKASI PUPUK KIESERITE UNTUK MENINGKATKAN SERAPAN HARA DAN PRODUKSI JAGUNG MANIS Ishaq, Rizki Maulana; Putri, Fenalda Sekar Maretha; Kurniawan, Syahrul; Hidayat, Muhamad Taufiq; Albarki, Georona Kusuma
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 2 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.2.2

Sweet corn production in Batu city is lower than in other districts/cities. This is thought to be due to a decrease in land area and deterioration of land conditions. In addition, intensive agricultural practices in the long term can reduce soil pH which will have an impact on the low availability of essential nutrients such as Mg, S, and P. Kieserite fertilizer application can be used as an effort to overcome these problems. This study aimed to evaluate the application of various doses of kieserite fertilizer combined with a single inorganic fertilizer on the efficiency of nutrient uptake and production of sweet corn plants. The research was conducted in Junrejo Village, Batu City in September 2023 - May 2024. The research used Randomized Group Design (RGD) with Kieserite fertilizer doses (0; 26.92; 53.85; 80.77 kg ha-1). The parameters observed and analyzed were plant height and number of leaves, corn production (quantity and quality), soil chemical properties (pH, Mg-dd, SO42-, P-available), nutrient uptake efficiency (Mg, S, P), and phosphate solubilizing bacteria (BPF) population. The research data were analyzed by ANOVA then DMRT further test at 5% level, correlation and regression tests using R-Studio. The results showed that the application of Kieserite fertilizer at a dose of 50% (~26.92 Mg ha-1) combined with inorganic fertilizer (N,P,K) at a dose of 75% shown in treatment A6 significantly increased the efficiency of Mg nutrient uptake by (RE=7.7%), S nutrient by (RE=2.9%), and P nutrient by (RE=49.9%). This increase in nutrient uptake efficiency certainly affected the level of sweet corn productivity. The correlation test between nutrient uptake efficiency (Mg, S, and P) and sweet corn production showed a positive and strong relationship (r=0.5-0.7), where the higher the nutrient uptake efficiency, the higher the sweet corn production. This study confirms the importance of efficient use of Kieserite fertilizer in order to get optimum production results.

PENINGKATAN EFISIENSI PENGGUNAAN BORON DALAM OPTIMASI PRODUKSI JAGUNG MANIS DI LAHAN KERING Nugroho, Gabryna Auliya; Hidayat, Muhamad Taufiq; Albarki, Georona Kusma; Siswanto; Natajaya, Andrean; Kurniawan, Syahrul
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.17

The range between boron deficiency and toxicity in plants is utterly narrow, so that the certain dose of boron fertilizer is required for plants. Indicators of optimum boron fertilization can be measured from plant production and boron use efficiency (BUE) value. BUE influenced by the amount of soluble B-soil, type of B fertilizer, amount of boron input, type of plant, and adequacy of available macronutrients (NPK). However, excessive application of NPK base fertilizer from inorganic fertilizers can trigger soil degradation. Currently, there has not been much research that measures the reduction in the dose of NPK base fertilizer combined with boron fertilizer on plant BUE. The combination of reducing the dose of NPK base fertilizer and boron fertilizer was tested on sweet corn plants on production and BUE. This study was conducted with a randomized block design with 7 treatments, namely without fertilization (K0), base fertilization (D1), 100% base fertilization and 50–15% borate (D2–D4), and 75% base fertilization and 50–15% borate (D5–D7). The results of the initial soil analysis showed low boron content in the soil, so borate fertilization was required to provide nutrients for sweet corn plants. Application of NPK base fertilizer (100%) and addition of borate fertilizer at a dose of 50-100% (~3-6 kg/ha) significantly increased growth, plant biomass, B uptake, boron recovery efficiency (BRE), and B fertilizer efficiency ratio, compared to lower NPK-base fertilizer. Based on the estimated response curve, the recommended dose to achieve optimum-maximum sweet corn production and maximum boron recovery efficiency is 100% macro inorganic fertilization (urea, SP-36, KCl) combined with 5.72-6.75 kg/ha borate fertilizer.

Optimizing Sentiment Analysis on the Linux Desktop Using N-Gram Features Hidayat, Muhamad Taufiq; Kurniawan, Rudi; Suprapti, Tati
Jurnal Informatika Vol 12, No 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i1.24773

Linux, or GNU/Linux, is a widely used open-source operating system built on the Linux kernel that is available for anyone to use, known for its security and privacy advantages. With advancements in information technology, protecting privacy has become increasingly challenging due to data extraction practices done by major tech companies. This has encouraged some Mastodon users to switch to Linux, with many expressing their opinions on using Linux as their main operating system. This research seeks to analyze the sentiments of Mastodon users toward Linux through sentiment analysis to understand whether the trend is predominantly positive, negative, or neutral. The methodology used includes collecting data with the help of the Mastodon.py library witch then gets manually labelled with the assistance of a linguistic expert as well as a linguistic rule proposed by previous research. The text mining process includes preprocessing steps which includes feature extraction with n-Gram to gain the most optimize result as well as employing feature selection using TF-IDF. The Naïve Bayes algorithm is employed for text classification. The entire process of data analysis is conducted with the help of AI Studio (RapidMiner) software. The results show that the highest-performing model for sentiment analysis is achieved with an n-gram value of 3, revealing user sentiment polarity towards Linux on Mastodon as follows: 42% positive, 28% negative, and 30% neutral. The sentiment analysis model has an accuracy of 63%, with a precision of 70%, recall of 80%, and an f1-score of 74% which shows that this method is able to optimize the sentiment analysis process.

Optimizing Sentiment Analysis on the Linux Desktop Using N-Gram Features Hidayat, Muhamad Taufiq; Kurniawan, Rudi; Suprapti, Tati
Jurnal Informatika Vol. 12 No. 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v12i1.12255

Linux, or GNU/Linux, is a widely used open-source operating system built on the Linux kernel that is available for anyone to use, known for its security and privacy advantages. With advancements in information technology, protecting privacy has become increasingly challenging due to data extraction practices done by major tech companies. This has encouraged some Mastodon users to switch to Linux, with many expressing their opinions on using Linux as their main operating system. This research seeks to analyze the sentiments of Mastodon users toward Linux through sentiment analysis to understand whether the trend is predominantly positive, negative, or neutral. The methodology used includes collecting data with the help of the Mastodon.py library which then gets manually labelled with the assistance of a linguistic expert as well as a linguistic rule proposed by previous research. The text mining process includes preprocessing steps which includes feature extraction with n-Gram to gain the most optimized result as well as employing feature selection using TF-IDF. The Naïve Bayes algorithm is employed for text classification. The entire process of data analysis is conducted with the help of AI Studio (RapidMiner) software. The results show that the highest-performing model for sentiment analysis is achieved with an n-gram value of 3, revealing user sentiment polarity towards Linux on Mastodon as follows: 42% positive, 28% negative, and 30% neutral. The sentiment analysis model has an accuracy of 63%, with a precision of 70%, recall of 80%, and an f1-score of 74% which shows that this method is able to optimize the sentiment analysis process.

Title

Found 7 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 7 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 7 Documents
Search