Sastyawan, Murti Wisnu Ragil
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Application of Bio P60 and Bio T10 alone or in combination to control Fusarium wilt of Hydroponic Melon Soesanto, Loekas; Nuraini, Ika Vidi; Sastyawan, Murti Wisnu Ragil; Mugiastuti, Endang; Leana, Ni Wayan Anik; Rahayuniati, Ruth Feti
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 24 No. 2 (2024): SEPTEMBER, JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA: JOURNAL OF TROPICAL PLAN
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhptt.224199-211

Abstract

The research aimed to determine the effect of single and combined applications of Bio P60 and Bio T10 in suppressing stem base rot and its effect on the growth and production of hydroponic melon. This research was conducted at Flos Hydroponic Organic at Bansari Village, Bansari District, Temanggung Regency from February to June 2023. Randomized Block Design was used with 6 replicates. The treatments were control (propamocarb hydrochloride), Bio P60, Bio T10, and a combination of Bio P60 and Bio T10 (1:1, v/v). Variables observed were incubation period, disease intensity, infection rate, area under disease progress curve (AUDPC), control effectiveness, plant length, number of leaves, fresh weight, leaf color, first flowering date, first fruit formation, number of fruits per plant, fruit weight per plant, and phenolic compounds qualitatively. The results showed that the combined treatment of Bio P60 and Bio T10 had the best effect indicated by delaying the incubation period, reducing disease intensity, reducing infection rates, reducing AUDPC values, increasing the value of control effectiveness, increasing plant length, number of leaves, plant fresh weight, leaf color, time of first flower appearance, time of fruiting, and fruit weight respectively of 31.25, 41.19, 13.33, 65.31, 55.61, 17.25, 5.57, 36.44, 11.47, 8.55, 9.63, and 22.92 % compared to control. The application of Bio P60, Bio T10, and the combination could increase the phenolic compounds (tannins, saponins, and glycosides) qualitatively in melon leaves.
Secondary Metabolites Application of Two Pseudomonas fluorescens isolates and Two Trichoderma Harzianum Isolates in Combination Against Postharvest Anthracnose in Papaya Muarifah, Mizar; Soesanto, Loekas; Sastyawan, Murti Wisnu Ragil; Mugiastuti, Endang; Farid, Noor
PLANTA TROPIKA Vol 11, No 2 (2023)
Publisher : Department of Agrotechnology, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.v11i2.14594

Abstract

The occurrence of papaya anthracnose is a significant post-harvest ailment, necessitating the effective disease management. The aim was to determine the ability of secondary metabolites combination of Pseudomonas fluorescens and Trichoderma harzianum isolates against the disease. A completely randomized design was used for in vitro experiments and a randomized block design for in vivo experiments. The treatments consisted of P. fluorescens P60 and T. harzianum T10, P. fluorescens P60 and T. harzianum T213, P. fluorescens P32 and T. harzianum T10, P. fluorescens P32 and T. harzianum T213 secondary metabolites and fungicides (a.i. maneb). The observed variables included the pathosystem component and papaya character and organoleptic test. The in vitro test results showed that P. fluorescens P60 and T. harzianum T10 and P. fluorescens P60 and T. harzianum T213 secondary metabolites inhibited the pathogen growth by 48.1075 and 43.4625%, respectively. The secondary metabolites of P. fluorescens P60 and T. harzianum T10 in vivo test results could delay the germination time by 12.63% and reduce the invasion area by 44.29%. All secondary metabolites had no effect on sugar content, hardness and sensory test. The combined secondary metabolites of P. fluorescens and T. harzianum are safe and does not affect papaya fruit quality.
UNRAVELING OF MEN'S FRAGRANCE PREFERENCES ON ONLINE MARKETPLACES: A MACHINE LEARNING STUDY USING DBSCAN CLUSTERING AND LINEAR REGRESSION Alkaf, Zakiyyan Zain; Fawzi, Muhammad Ihsan; Sastyawan, Murti Wisnu Ragil; Putera, Radita Dwi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4187

Abstract

The perfume industry is undergoing significant growth, driving the need to understand consumer preferences, particularly in men’s fragrances, to optimize business strategies. This study aims to analyze and uncover men’s fragrance preferences, using machine learning techniques. A dataset of approximately 1,000 men's perfume records from Kaggle was utilized, where systematic methodologies were employed. Data preprocessing involved handling missing values, removing duplicates, standardizing categorical entries, and performing feature engineering by extracting geographic information from item locations. Exploratory Data Analysis (EDA) was conducted to uncover data distribution. Clustering analysis using DBSCAN revealed consumer segments. Additionally, regression analysis was used to predict sales based on price and location, employing a linear regression model evaluated with metrics like Mean Squared Error (MSE). The findings indicate that price exhibits a complex relationship with sales; while affordable products drive higher sales volumes, premium-priced items cater to a niche yet impactful market segment. Geographic location plays a pivotal role in sales patterns. Clustering analysis reveals two distinct consumer segments: one driven by price sensitivity and another oriented towards premium preferences, influenced by regional factors. Regression analysis demonstrated a negative correlation between price and sales volume, with a coefficient of -1.81, while availability positively influenced sales with a coefficient of 8.36. Despite a moderate model fit (R² = 0.17), the analysis highlights key market dynamics. These insights emphasize the importance of leveraging data-driven strategies to develop targeted marketing campaigns, optimize inventory management and refine market segmentation.
Application of Biocontrol Product Bio P60 and NASA Liquid Organic Fertilizer on The Development of Fusarium Wilt and Yield of Shallot in Planta Soesanto, Loekas; Yusup, Adi Maulana; Sastyawan, Murti Wisnu Ragil; Mugiastuti, Endang; Suharti, Woro Sri
PLANTA TROPIKA Vol. 13 No. 1 (2025)
Publisher : Department of Agrotechnology, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/pt.v13i1.24558

Abstract

Shallots are indispensable in all aspects of human life, and shallot production is always facing Fusarium wilt disease. Chemical control of the disease has failed, and environmentally friendly control alternatives are needed. One of them is Bio P60 biocontrol product combined with liquid organic fertilizer. Aims of the research was to assess the effectiveness of NASA liquid organic fertilizer and Bio P60 in controlling Fusarium wilt and its impact on shallot growth and yield in planta. This research was conducted in the field using polybag, for five months. Completely randomized block design was used comprising of two components with 16 treatments and 3 replicates. The variables observed were incubation period, disease intensity, AUDPC, plant height, number of leaves, number of tubers, plant wet weight, tuber wet weight, plant dry weight, and tuber dry weight. The results showed that the application of Bio P60 five times was the most excellent treatment in postponing the incubation period by 61.71%, suppressing disease incidence by 66.67%, and reducing AUDPC by 69.84%, increase growth and yield components such as plant height by 30.75%, number of leaves by 40.7%, number of bulbs by 75.6%, bulb fresh weight by 104.53%, blub dry weight by 51.1%, crop fresh weight by 48.24%, and crop dry weight by 49.77% compared to the control. The fertilizer application has no significant effect on all variables. There was no interaction between Bio P60 and NASA on all variables.
Application of biocontrol products Bio P60 and Bio T10 as single or in combination in suppressing chili fruit anthracnose in the field Mugiastuti, Endang; Hidayat, Fitrian; Sastyawan, Murti Wisnu Ragil; Leana, Ni Wayan Anik; Soesanto, Loekas
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 25 No. 2 (2025): SEPTEMBER, JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA: JOURNAL OF TROPICAL PLAN
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhptt.225230-240

Abstract

This study aimed to evaluate the effectiveness of single or combined applications of Bio P60 and Bio T10 products in suppressing anthracnose disease in chili pepper under field conditions. The research was conducted at an altitude of 1200 m above sea level using a randomized block design with five treatments: control, chemical fungicide, Bio P60, Bio T10, and a combination of Bio P60 and Bio T10, each replicated five times. Observed variables included incubation period, disease incidence, disease intensity, area under disease progress curve (AUDPC), infection rate, plant height, number of leaves, time of first flower, time of first fruit, number of fruits, fruit weight per plant, harvest weight per plot, and qualitative phenolic compound content. The results showed that the combined application of Bio P60 and Bio T10 was the most effective, delaying the incubation period, suppressing disease intensity, and reducing AUDPC by 13.71%, 69.34%, and 47.06%, respectively, compared to the control. The combination treatment also enhanced plant growth and yield, increasing plant height, number of fruits, fruit weight per plant, and harvest weight per plot by 27.38%, 62.65%, 90.85%, and 82.99%, respectively. Furthermore, the application of Bio P60, Bio T10, and their combination increased phenolic compound content qualitatively in chili pepper plants.
Designing AI - IoE Precision Farming to Create Sustainable Eco-Friendly Hydroponic Greenhouses Sastyawan, Murti Wisnu Ragil; Fawzi, Muhammad Ihsan; Putera, Radita Dwi; Alkaf, Zakiyyan Zain; Syhamsudin, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5260

Abstract

Conventional greenhouses, while boosting crop yields, face critical sustainability challenges due to high energy consumption and resource inefficiency, particularly in developing nations where manual management prevails. This research addresses these limitations by designing a comprehensive AI-IoE system architecture to create a smart, resource-efficient, and sustainable operational model for eco-friendly greenhouses. The development methodology involved a systematic process of requirements analysis, integrated hardware and software design, prototype assembly, and functional testing. The system utilizes an ESP32 microcontroller as its central control unit, integrating a suite of six sensors comprising light intensity, temperature, humidity, pH, Total Dissolved Solids (TDS), and CO₂ to monitor critical environmental parameters in real-time. This integration utilizes the extensive dataset for AI based predictive analysis, enabling the intelligent forecasting of environmental trends and proactive resource management. The research resulted in a complete system blueprint, including a detailed electronic circuit design, a production-ready Printed Circuit Board (PCB) layout, defined operational control logic, and an intuitive web-based dashboard for remote monitoring and management. This integrated AI-IoE architecture provides a tangible solution that surpasses previous fragmented approaches by offering holistic environmental control. The findings present a significant contribution to precision farming, establishing a scalable and efficient framework to enhance greenhouse productivity and ecological sustainability.