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Description of the morphology, morphometric, and molecular of Aphelenchoides fragariae (Aphelenchida: Aphelenchoididae) causing crimp disease of strawberry in Indonesia Kurniawati, Fitrianingrum; Hidayat, Sri Hendrastuti; Tondok, Efi Toding; Syafutra, Heriyanto; Supramana, Supramana
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 25 No. 1 (2025): MARCH, JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA: JOURNAL OF TROPICAL PLANT PE
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhptt.1259-16

Abstract

Aphelenchoides fragariae, commonly known as strawberry crimp nematodes, primarily target the aerial parts of plants, affecting both internal and external structures. In Indonesia, where strawberries are predominantly cultivated in highland regions, the presence of strawberry crimp disease has been confirmed. Infected plants exhibit symptoms such as stunted growth, reddened foliage, crimped or curled leaves, and malformed buds and blooms. Aboveground damage caused by the nematodes includes contorted shoots, undersized leaves, and reddish petioles, often accompanied by discolored patches on the foliage. These symptoms significantly impair the growth and productivity of strawberry plants, highlighting the nematode’s potential as a serious pest in these regions. The identification of A. fragariae was achieved through a combination of morphological and molecular characterization methods. Species confirmation relied on PCR amplification of the nematode’s cytochrome oxidase subunit I (COI) gene, using primers (COI F and COI R) designed in the laboratory. The amplification yielded a specific fragment of approximately 550 base pairs, which was sequenced for further analysis. Sequence alignment revealed identity levels ranging from 82.8% to 99.7%, confirming the presence of A. fragariae. The resulting sequences were deposited in GenBank under the accession numbers LC804455 (A. fragariae isolate RB) and LC804456 (A. fragariae isolate LB), providing a valuable resource for future studies on this nematode species.
DEVELOPMENT OF LOW-COST OPTICAL SENSOR-BASED DEVICE FOR REAL-TIME MICROALGAE CONCENTRATION MEASUREMENT Syafutra, Heriyanto; Rustami, Erus; Claudia, Stephanie; Hardiningtyas, Safrina Dyah; Supriyanto, Supriyanto; Zuhri, Mahfuddin
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.473

Abstract

Conventional methods for measuring microalgae concentration in water require several steps and must be carried out in the laboratory. These measurements are usually performed by counting microalgae filaments under an optical microscope using the Sedgewick Rafter Counting (SRC) method or by spectroscopy, utilizing light absorption by microalgae's chlorophyll. In this study, we propose an innovative and portable spectroscopic device for real-time measurement of microalgae concentration by integrating a light-dependent resistor (LDR) sensor and a microcontroller-based processing unit. The microalgae used in this study were Spirulina, a filamentous microalga from the class Cyanophyceae. The SRC method was used as a reference for measuring Spirulina concentration. UV-Vis spectroscopy data showed that the absorption of chlorophyll a and b was in the range of 400 - 450 nm. The absorption coefficients obtained from the UV-Vis absorbance vs. concentration relationship were in good agreement with those obtained from the logarithmic light intensity vs. concentration relationship across all tested predictive models. We confirmed that the emission spectrum of the LED used was aligned with the dominant absorption of Spirulina chlorophyll, ensuring accurate optical detection of microalgae concentration. The developed device demonstrated rapid estimation of microalgae concentration, with an average accuracy of more than 75%. This study showed that a portable and low-cost microalgae concentration measurement system can be developed using optical sensors and microcontrollers as an alternative to laboratory-based measurements. In addition, the designed device can be integrated with Internet of Things (IoT) platforms, enabling real-time monitoring of environmental conditions for applications such as water quality assessment, aquaculture, and biofuel production.
DESIGN OF AN AUTOMATIC PENDULUM VELOCITY MEASURING DEVICE USING LIGHT SENSORS Adiati, Rima Fitria; Haniyah, Astridea Salwa; Kartono, Agus; Syafutra, Heriyanto
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.404

Abstract

The instantaneous velocity of an object is the rate of change of its position over an infinitesimally small-time interval, making direct measurement with tools like stopwatches impractical. Using two LDR sensors paired with an Arduino, it is possible to measure such small-time intervals effectively. Understanding the maximum velocity of a mathematical pendulum is critical for distinguishing between harmonic and non-harmonic oscillations. To validate the accuracy of the sensor-Arduino system, several experiments were conducted, including comparisons between Arduino measurements and those obtained from a movie tracker, as well as variations in sensor separation distances, initial oscillation angles, and pendulum rope lengths. Results showed a high level of agreement between Arduino and movie tracker measurements for pendulum crossing times. Additionally, the sensor-Arduino system successfully differentiated the effects of varying each parameter while holding others constant. The system demonstrated an accuracy of 97.86% for velocity measurements at a release angle of 5°, with an average recorded velocity of 23.350 m/s. These findings confirm the sensor-Arduino system's capability to reliably measure the velocity of a mathematical pendulum.
Implementasi Sistem Keamanan Pintu Otomatis Berbasis Face Recognition di Proactive Robotic: Integrasi ESP32-Cam dan Telegram Syafutra, Heriyanto; Aziz, Thufeil Muhammad Nur; Novianty, Inna; Irmansyah, Irmansyah; Chusnu, Muhamad; Prayoga, Dwi
Jurnal Riset Fisika Indonesia Vol 4 No 2 (2024): Juni 2024
Publisher : Jurusan Fisika, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jrfi.v4i2.5380

Abstract

The research focuses on implementing an automatic door lock system based on face recognition using the ESP32-Cam microcontroller and integrating it with the Telegram platform. The system is designed to enhance security at Proactive Robotic by leveraging IoT technology for office door access control. System design began with needs analysis and identification of existing security issues which do not integrate with other smart home systems at the institution. Development methods included hardware and software design, circuit schematic creation, PCB production, and physical assembly. System testing ensured facial detection, recognition, and essential solenoid operation in varying lighting conditions. Test results showed the system accurately recognizes registered faces under standard lighting, automatically unlocks doors, and sends real-time notifications via Telegram. However, system accuracy under low-light conditions needs improvement, as well as enhanced user data security to protect stored information privacy. This research contributes to developing IoT and face recognition-based security applications. The system successfully implements cutting-edge technology to improve physical security and access management in office environments, laying the foundation for future advancements in security technology.
Development and performance evaluation of an automatic size-sorting system for catfish seeds using photodiode sensors Irmansyah, Irmansyah; Saputra, Rifqi Eka; Zuhri, Mahfuddin; Syafutra, Heriyanto
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.018

Abstract

In catfish farming, uniform seed size is crucial for ensuring balanced growth and minimizing competition for feed. Generally, size sorting is performed manually through visual observation and net separation, which is labor-intensive, time-consuming, and often causes stress or injury to fish. To address these limitations, this study aimed to develop and evaluate a real-time, low-cost automatic sorting system for live catfish seeds. The proposed system utilizes photodiode sensors and an Arduino-based microcontroller to detect variations in fish body length by interrupting a laser beam. Four photodiodes were arranged at specific distances to classify fish seeds into four size categories (<7 cm, 7–8 cm, 9–10 cm, and 11–12 cm). After classification, the system automatically directed each seed into the corresponding container. The results showed that the prototype successfully classified and sorted catfish seeds with an overall accuracy of 67.5%. In contrast, tests with PVC pipes under controlled conditions achieved 100% accuracy. These findings highlight the novelty of integrating size detection and direct sorting for live fish seeds, a feature not previously reported in the literature. Beyond its current limitations, this system provides a methodological framework for sensor-based aquaculture automation, offering potential for further improvements in accuracy, robustness, and application to other aquaculture species.
Environmental Sustainable Utilization of Agricultural Waste–Based Sterilization for White Oyster Mushroom Cultivation: An FTIR Study of Optical Vibrational Properties Irzaman; Apriliana, Erni; Siskandar, Ridwan; Syafutra, Heriyanto; Jenie, Renan Prasta; Indriasari, Marina; Ramli, Muhammad Mahyiddin; Har, Nazopatul Patonah; Isa, Muammar Mohamad
International Journal of Hydrological and Environmental for Sustainability Vol. 5 No. 1 (2026): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v5i1.1005

Abstract

This study investigates the environmentally sustainable use of agricultural waste–based sterilization in white oyster mushroom (Pleurotus ostreatus) cultivation and its influence on mycelial optical vibrational properties. A small-scale industrial rice husk furnace was employed as an eco-friendly and low-cost sterilization system, providing an alternative to conventional fossil fuel–based energy sources. Potato Dextrose Agar (PDA) was used as the growth medium, while different sterilization levels were applied to obtain uncontaminated media and high-quality mycelial growth. Three sterilization levels were systematically analyzed using Fourier Transform Infrared (FTIR) spectroscopy to evaluate optical behavior at various cultivation stages. The optical properties of the mycelium were assessed through Longitudinal Optical (LO) and Transverse Optical (TO) vibrational modes derived from FTIR spectra. The results indicate that increasing the sterilization level leads to a consistent shift of both LO and TO modes toward higher wavenumbers, reflecting changes in molecular bonding and structural characteristics of the mycelium. Furthermore, longer boiling durations at 102 °C using the rice husk furnace resulted in higher transmittance values, attributed to the partial evaporation or reduction of certain organic compounds within the mycelium. Comparative analysis among cultivation stages shows that the planting spawn (F2) exhibits lower transmittance than the spreading spawn (F1), while the pure culture (F0) demonstrates the highest transmittance. These differences are closely related to variations in mycelial density, with F2 having the greatest mass per unit volume. Overall, the findings confirm that agricultural waste–based sterilization supports environmentally sustainable mushroom cultivation while significantly affecting the optical and structural properties of mycelium.