Evy Hendriarianti

@itn.ac.id

Environmental Engineering Department
Environmental Engineering Department National Institute of Technology (ITN Malang), Indonesia

Evy Hendriarianti


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https://researchid.co/evyhendri

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Engineering, Management, Monitoring, Policy and Law, Waste Management and Disposal, Ecological Modeling
18

Scopus Publications

254

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • INDUSTRIAL WASTEWATER TREATMENT, CASE STUDY: CLEAN INDUSTRY INITIATIVE - WASTEWATER TREATMENT CONTAINER (WWTC) PILOT IN BRANTAS RIVER BASIN
    Proceedings of the IAHR World Congress, 2025
  • Treatment performance of Tlogomas communal wastewater treatment plant
    Evy Hendriarianti, Candra Dwiratna Wulandari, Andika Yoga Pradana, Suhaena Wisma Ernia Sindy
    Aip Conference Proceedings, 2024
  • Implementation of a low-cost embedded multi-camera system for leaf plant monitoring in the greenhouse
    Aryuanto Soetedjo, Evy Hendriarianti, Muhammad Suriansyah, M. Rifki Abdilah, M. Syahriel, H. M. Mohamad Khafil
    Aip Conference Proceedings, 2024
  • Leaf Temperature Measurement Using Low-Resolution Thermal Camera Based on Thresholding and Clustering Techniques
    Aryuanto Soetedjo, Evy Hendriarianti
    Commit Journal, 2024
    Leaf temperature can indicate photosynthetic rates, leaf water status, and stomata conductance. Leaf temperature can be measured using thermal resistance sensors, thermocouple devices, infrared thermometers, or infrared thermal imaging devices. Additionally, measuring leaf temperature using a thermal camera is simple and efficient. Therefore, the research proposes a leaf temperature measurement method using AMG8833, a low-resolution (64 pixels) thermal camera. The proposed system adopts an image segmentation technique to extract the leaf area from a thermal image. The leaf temperature is then calculated by averaging the temperature values on the leaf area. The proposed system aims to utilize a low-cost and low-resolution thermal camera for measuring the leaf temperature. The proposed approach is evaluated using real images of the Dieffenbachia plant, a popular ornamental plant that can be easily planted. In the experiments, fourteen segmentation methods consisting of eight thresholding techniques and six clustering techniques are evaluated. The experimental findings on the Dieffenbachia plant indicate that the most accurate leaf temperature measurements are obtained using local thresholding with an absolute error of 0.0109 and k-means clustering with an absolute error of 0.0134. The proposed method provides a simple, effective, and low-cost leaf temperature measurement system compared to the existing systems which employ high-cost commercial thermal cameras and complex measurement methods.
  • Development of an Internet of Things-Based Supervisory Control and Data Acquisition System for Wastewater Monitoring on the Communal Wastewater Treatment Plant
    Aryuanto Soetedjo, Evy Hendriarianti
    Proceedings 2024 International Conference on Information Technology and Computing Icitcom 2024, 2024
    The wastewater parameters should be monitored regularly to maintain the quality in the range of allowed standard. A real-time wastewater monitoring system is required for effective monitoring. This paper presents an implementation of Internet of Things (IoT)-based Supervisory Control and Data Acquisition (SCADA) for wastewater monitoring in the communal wastewater treatment plant (WWTP). The proposed system adopts the Haiwell Human Machine Interface (HMI) as the SCADA system and integrates it with the IoT platform. To evaluate the proposed SCADA, the WWTP Simulator is developed to model the wastewater parameters, implement them on the embedded modules, and communicate with the HMI using WiFi. The experimental results show that the real-time monitoring, historical data, and alarm features work appropriately and offer benefits for wastewater monitoring and analysis. Further, the performance of Modbus Transmission Control Protocol (TCP) and Message Queuing Telemetry Transport (MQTT) protocols used for communication between HMI and WWTP Simulator is compared, where the data delivery ratio of the Modbus TCP and MQTT protocols is 99.03% and 99.78%, respectively.
  • Development of an IoT-Based SCADA System for Monitoring of Plant Leaf Temperature and Air and Soil Parameters
    Aryuanto Soetedjo, Evy Hendriarianti
    Applied Sciences Switzerland, 2023
    Plant leaf temperature and its environmental parameters provide valuable information on plant growth. This paper presents the development of a plant monitoring system using an IoT-based SCADA (Supervisory Control and Data Acquisition). The developed SCADA system monitors the leaf temperature and the air parameters of temperature and humidity, as well as the soil parameters of temperature, moisture, pH, electrical conductivity, nitrogen, phosphorous, and potassium. A novel method is proposed for measuring the leaf temperature using a low-cost 8 × 8 array thermal camera. The sensor systems in the field are developed to wirelessly communicate with the Hawell IoT Cloud HMI via a Modbus TCP protocol. To visualize the thermal image on the HMI dashboard, a novel approach is proposed wherein the data are transferred using the Modbus TCP protocol. The HMI is connected to a cloud server and can be accessed by the users using the web browser or mobile application on a smartphone. The experimental results show that the proposed hardware, software, and communication protocol are reliable for real-time and continuous plant monitoring. Further, the evaluation of sensor data shows that the data from the thermal camera and air parameters sensor can be independently interpreted. However, the data from the soil sensor should be interpreted in consideration of the other parameters.
  • BIOLOGICAL OXYGEN DEMAND (BOD) AND CHEMICAL OXYGEN DEMAND (COD) MEASUREMENT OF WASTEWATER USING MACHINE LEARNING REGRESSION TECHNIQUES IMPLEMENTED ON THE EMBEDDED SYSTEM
    International Journal of Innovative Computing Information and Control, 2023
  • A Comparative Study of Vetiveria zizanioides Leaf Segmentation Techniques Using Visible, Infrared, and Thermal Camera Sensors in an Outdoor Environment
    Aryuanto Soetedjo, Evy Hendriarianti
    Applied System Innovation, 2023
    A camera vision system is a fast and effective approach to monitoring leaves. It can be used to monitor plant growth, detect diseases, and conduct plant phenotyping. However, due to the outdoor environment of plants, it becomes challenging to use. This paper addresses the problems of Vetiveria zizanioides leaf segmentation by comparing different camera types and segmentation techniques. Visible, no infrared filter (NoIR), and thermal cameras interfaced in an embedded device were used to capture plants during the day and at night. Several popular thresholding techniques and the K-Means algorithm were employed for leaf segmentation, and their performance was measured using Recall, Precision, and F1 score. The comparison results show that the visible camera achieved the best performance on daytime images, with the highest Recall of 0.934 using Triangle thresholding, the highest Precision of 0.751 using K-Means (K = 3), and the highest F1 score of 0.794 using Multi-Otsu thresholding. For nighttime images, the highest Recall of 0.990 was achieved by the thermal camera using Isodata and Otsu thresholding, the highest Precision of 0.572 was achieved by the NoIR camera using K-Means (K = 3), and the highest F1 score of 0.636 was achieved by the NoIR camera using K-Means (K = 3). To compare the leaf segmentation performance of the thresholding techniques and the K-Means algorithm between our image dataset and the well-known plant image dataset, we also evaluated the methods using the Ara2012 image dataset. The results showed that K-Means (K-3) achieved the best performance. The execution time of K-Means was about 3 s, which was longer than the thresholding techniques. However, it is still acceptable for the real-time plant monitoring system.
  • Leaf Temperature Monitoring System Using Low-Cost Thermal Camera and IoT Technology
    Aryuanto Soetedjo, Evy Hendriarianti
    2023 2nd International Conference on Smart Technologies for Smart Nation Smarttechcon 2023, 2023
    Leaf temperature provides valuable information about the water status of the plant. A leaf temperature monitoring system will offer potential benefits in precision agriculture. This paper presents an implementation of low-cost cameras, namely MLX90640 and AMG8833, for monitoring the leaf temperature. The low-cost camera is connected to a Raspberry Pi Zero W, a tiny single-board computer that performs the data processing and interfacing to the ThingSpeak IoT platform. The experimental results show that even though the AMG8833 has a low resolution of 8×8 pixels, it can be used to measure the leaf temperature, similar to the MLX90640, whose resolution is 32×24 pixels. The AMG8833 achieves a refresh rate of 26.57 fps, very fast than the MLX90640, which achieves 2.10 fps. Moreover, three thresholding algorithms, Otsu, Yen, and Mean thresholding work properly to separate the leaf from the background. Thus the leaf and background temperature can be defined easily.
  • Leaf Segmentation Based on Thresholding Techniques Using Visible, Infrared, and Thermal Cameras
    Aryuanto Soetedjo, Evy Hendriarianti, Muhammad Suriansyah, M Rifki Abdilah, M Syahriel M, Mohamad Khafil Hadi Mubaroq
    Proceedings of the International Conference on Electrical Engineering and Informatics, 2022
    A real-time plant monitoring system using a camera system provides benefits in precision agriculture and other fields. In the system, leaf segmentation is an important task to extract the leaf from the background for advanced processes. This paper presents leaf segmentation based on thresholding techniques, namely Isodata, Otsu, Yen, and Li thresholding, using RGB, Infrared (NoIR), and Thermal cameras. In the experiments, images of the Vetiveria zizanioides plant captured by developed multi-camera systems from outdoor environments were used for evaluation. The evaluation results showed that the highest Vetiveria zizanioides leaf segmentation performance was achieved by the RGB camera using Li thresholding with a Recall of 0.933, Precision of 0.603, and F1 score of 0.742. Furthermore, the results also showed that the RGB camera achieved the best average Vetiveria zizanioides leaf segmentation performance among the other cameras, while Li thresholding achieved the best average leaf segmentation performance among the other thresholding techniques.
  • BOD and COD Estimation of Wastewater Based on Low Cost Sensors Using Random Forest Regression Technique
    Aryuanto Soetedjo, Evy Hendriarianti, Renaldi Primaswara Prasetya, Achmad Akbar Marhananda, Amandarika Widyatamara, Muhammad Edo Prastyo, Rachmad Albi Igam, Andika Yoga Pradana, Suhaena Wisma Ernia Sindy
    Proceedings 2022 9th International Conference on Information Technology Computer and Electrical Engineering Icitacee 2022, 2022
  • Real-Time Implementation of Wastewater Monitoring System on the Communal Wastewater Treatment Plant using the IoT Technology
    A Soetedjo, E Hendriarianti, S A Wibowo, J Novrian, A B Nugroho, M F Roby, O V Dewi, R S Apriliansyah, A Mustofa, R I Sari, F Y Wijayanto
    Iop Conference Series Earth and Environmental Science, 2022
  • Plant leaf detection and counting in a greenhouse during day and nighttime using a raspberry Pi NoIR camera
    Aryuanto Soetedjo, Evy Hendriarianti
    Sensors, 2021
  • IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems
    , Evy Hendriarianti, Aryuanto Soetedjo, and
    International Journal of Intelligent Engineering and Systems, 2021
  • Leaf Segmentation in Outdoor Environment Using A Low-Cost Infrared Camera
    Aryuanto Soetedjo, Evy Hendriarianti
    Ist 2021 IEEE International Conference on Imaging Systems and Techniques Proceedings, 2021
  • Self-purification performance of Brantas river from deoxygenation rate of carbon
    E Hendriarianti, S Sudiro, K Kustamar, A Nurhayati
    Journal of Physics Conference Series, 2019
  • Dissolved oxygen dynamic system model for the determination of the waste assimilating capacity at Brantas river Malang city
    Evy Hendriarianti, Nieke Karnaningroem, Nurhadi Siswanto, Wahjono Hadi, Setiadi S. Eddy, Suprihanto Notodarmojo
    Iop Conference Series Materials Science and Engineering, 2019
  • Self-purification performance of brantas river in east Java from ammonia deoxygenation rate
    International Journal of Civil Engineering and Technology, 2018

RECENT SCHOLAR PUBLICATIONS

  • Separation of Oil, Grease and TSS in Chicken Intestine Chips Factory Wastewater Using a Laboratory-Scale Grease Trap Reactor
    DM Pratama, E Hendriarianti, CD Wulandari
    International Journal of Science and Environment (IJSE) 6 (1), 751-758 , 2026
    2026
  • OPTIMALISASI SISTEM PENGANGKUTAN SAMPAH DI KECAMATAN LONG BAGUN KABUPATEN MAHAKAM ULU
    H Setyobudiarso, E Hendriarianti, V Rachmawati
    Jurnal Mahasiswa" ENVIRO" 4 (2), 7-7 , 2025
    2025
  • PEMANFAATAN SAMPAH PLASTIK HDPE DAN SAMPAH LIGNOSELULOSA MENJADI BRIKET
    AV Sumenang, E Hendriarianti, CD Wulandari
    Jurnal Mahasiswa" ENVIRO" 4 (1), 11-11 , 2025
    2025
  • PENURUNAN KADAR POLUTAN PADA LIMBAH CAIR HASIL PENCUCIAN KEDELAI LIMBAH INDUSTRI TEMPE MENGGUNAKAN METODE FILTRASI DAN FITOREMEDIASI
    WAM Anggi, E Hendriarianti, CD Wulandari
    Jurnal Mahasiswa" ENVIRO" 3 (2), 7-7 , 2024
    2024
  • Implementation of Wastewater Monitoring System using Low-Cost Water Sensor and IoT-based SCADA
    A Soetedjo, MR Abdilah, FY Limpraptono, E Hendriarianti
    ALINIER: Journal of Artificial Intelligence & Applications 5 (2), 165-172 , 2024
    2024
  • Development of an Internet of Things-Based Supervisory Control and Data Acquisition System for Wastewater Monitoring on the Communal Wastewater Treatment Plant
    A Soetedjo, E Hendriarianti
    2024 International Conference on Information Technology and Computing … , 2024
    2024
  • Treatment performance of Tlogomas communal wastewater treatment plant
    E Hendriarianti, CD Wulandari, AY Pradana, SWE Sindy
    AIP Conference Proceedings 3077 (1), 050047 , 2024
    2024
  • Implementation of a low-cost embedded multi-camera system for leaf plant monitoring in the greenhouse
    A Soetedjo, E Hendriarianti, M Suriansyah, MR Abdilah, M Syahriel, ...
    AIP Conference Proceedings 3077 (1), 050054 , 2024
    2024
    Citations: 2
  • EVALUASI KINERJA UNIT SEDIMENTASI DAN ANAEROBIC BAFFLED REACTOR PADA IPAL KOMUNAL TLOGOMAS BERDASARKAN HASIL MONITORING KUALITAS EFLUEN
    A Yoga, E Hendriarianti, CD Wulandari
    Jurnal Mahasiswa" ENVIRO" 3 (1) , 2024
    2024
  • Pengelolaan Air Limbah Domestik Secara Komunal Di Kelurahan Pakistaji Kecamatan Wonoasih Kota Probolinggo
    S Akbar, E Hendriarianti, CD Wulandari
    Jurnal Mahasiswa" ENVIRO" 3 (1), 8-8 , 2024
    2024
  • APLIKASI IOT UNTUK MEMONITORING pH DAN SUHU TANAH PADA PROSES FITOREMEDIASI IPAL KOMUNAL
    T Sitompul, A Soetedjo, E Hendriarianti
    Magnetika: Jurnal Mahasiswa Teknik Elektro 8 (1), 410-419 , 2024
    2024
  • Leaf temperature measurement using low-resolution thermal camera based on thresholding and clustering techniques
    A Soetedjo, E Hendriarianti
    CommIT (Communication and Information Technology) Journal 18 (1), 77-88 , 2024
    2024
    Citations: 1
  • ANALISIS POLA PEMETAAN PENYEBARAN KEBISINGAN AKIBAT TRANSPORTASI DI RSUD SAIFUL ANWAR KOTA MALANG
    F Labdawara, E Hendriarianti
    Jurnal Mahasiswa" ENVIRO" 2 (2) , 2023
    2023
  • PENGARUH WAKTU TERHADAP PENURUNAN BOD, COD, DAN TSS LIMBAH RUMAH MAKAN MENGGUNAKAN BIOFILTER ANAEROB
    MA Halim, E Hendriarianti, H Setyobudiarso
    Jurnal Mahasiswa" ENVIRO" 2 (2) , 2023
    2023
  • PEMETAAN SUHU PERMUKAAN LAUT DI TELUK BIMA MENGGUNAKAN LANDSAT-8
    M Hidayat, A Yulianandha, E Hendriarianti
    Prosiding SEMSINA 4 (01), 194-199 , 2023
    2023
  • Development of an IoT-based SCADA system for monitoring of plant leaf temperature and air and soil parameters
    A Soetedjo, E Hendriarianti
    Applied Sciences 13 (20), 11294 , 2023
    2023
    Citations: 16
  • Leaf temperature monitoring system using low-cost thermal camera and IoT technology
    A Soetedjo, E Hendriarianti
    2023 Second International Conference On Smart Technologies For Smart Nation … , 2023
    2023
    Citations: 4
  • EVALUASI KINERJA INSTALASI PENGOLAHAN AIR LIMBAH DOMESTIK KELURAHAN MERGOSONO KOTA MALANG
    DTRI FENA, E Hendriarianti, CDR Wulandari
    Jurnal Mahasiswa" ENVIRO" 2 (1) , 2023
    2023
  • FITOREMEDIASI EFLUEN IPAL KOMUNAL KELURAHAN TLOGOMAS MENGGUNAKAN TANAMAN AKAR WANGI (Vetiveria zizanioides) DAN TANAMAN RAMI (Boehmeria nivea)
    AYL Ramadhani, E Hendriarianti, CDR Wulandari
    Jurnal Mahasiswa" ENVIRO" 2 (1) , 2023
    2023
  • Penurunan Tingkat Kebocoran Air di Pipa Jaringan Distribusi Utama PERUMDA Air Minum Tirta Galuh Wilayah Kota Ciamis
    MS Arrafik, E Hendriarianti
    Jurnal Mahasiswa" ENVIRO" 2 (1) , 2023
    2023
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Deoxygenation rate of carbon in upstream brantas river in the city of Malang
    E Hendriarianti, N Karnaningroem
    Journal of Applied Environmental and Biological Sciences 5 (12), 36-41 , 2015
    2015
    Citations: 20
  • Plant leaf detection and counting in a greenhouse during day and nighttime using a Raspberry Pi NoIR camera
    A Soetedjo, E Hendriarianti
    Sensors 21 (19), 6659 , 2021
    2021
    Citations: 19
  • Development of an IoT-based SCADA system for monitoring of plant leaf temperature and air and soil parameters
    A Soetedjo, E Hendriarianti
    Applied Sciences 13 (20), 11294 , 2023
    2023
    Citations: 16
  • Real-time implementation of wastewater monitoring system on the communal wastewater treatment plant using the IoT technology
    A Soetedjo, E Hendriarianti, SA Wibowo, J Novrian, AB Nugroho, ...
    IOP Conference Series: Earth and Environmental Science 1030 (1), 012006 , 2022
    2022
    Citations: 16
  • Evaluation of communal wastewater treatment plant operating anaerobic baffled reactor and biofilter
    E Hendriarianti
    Waste Technology , 2016
    2016
    Citations: 15
  • Analisa driving force, pressure, state dan response kualitas air
    E Hendriarianti, A Triwahyuni, AT Ayudyaningtyas
    Prosiding SEMSINA 3 (2), 278-285 , 2022
    2022
    Citations: 12
  • Evaluasi IPAL Komunal Pada Kelurahan Tlogomas, Kecamatan Lowokwaru Kota Malang
    E Pitoyo, E Hendriarianti, N Karnaningroem
    Jurnal Purifikasi 17 (1) , 2017
    2017
    Citations: 11
  • Penentuan Dosis Optimum Koagulan Biji Asam Jawa (Tamarindus Indica L) Dalam Penurunan TSS dan COD Limbah Cair Industri Penyamakan Kulit di Kota Malang
    E Hendriarianti, H Suhastri
    Jurnal Teknik Sipil dan perencanaan 9 (17), 12-22 , 2014
    2014
    Citations: 10
  • pengaruh jenis elektroda dan jarak antar elektroda dalam penurunan cod dan tss limbah cair Laundry menggunakan elektrokoagulasi konfigurasi Monopolar aliran kontinyu
    E Hendriarianti, AP Sandy
    Malang, Institut Teknologi Nasional , 2011
    2011
    Citations: 10
  • BOD and COD estimation of wastewater based on low cost sensors using random forest regression technique
    A Soetedjo, E Hendriarianti, RP Prasetya, AA Marhananda, ...
    2022 9th International Conference on Information Technology, Computer, and … , 2022
    2022
    Citations: 9
  • Treatment Performance of Tlogomas Communal Waste Water Treatment Plant in Malang City
    E Hendriarianti, IN Sudiasa, N Karnaningroem
    J. Appl. Environ. Biol. Sci 5 (11), 110-117 , 2015
    2015
    Citations: 9
  • Teknologi black soldier fly (bsf) dengan variasi pakan sampah organik
    ASTM Madu, E Hendriarianti, CDR Wulandari
    Jurnal Mahasiswa" ENVIRO" 1 (1) , 2022
    2022
    Citations: 8
  • IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems.
    E Hendriarianti, A Soetedjo
    International Journal of Intelligent Engineering & Systems 14 (2) , 2021
    2021
    Citations: 8
  • Dissolved oxygen dynamic system model for the determination of the waste assimilating capacity at Brantas river Malang city
    E Hendriarianti, N Karnaningroem, N Siswanto, W Hadi, SS Eddy, ...
    IOP Conference Series: Materials Science and Engineering 469 (1), 012028 , 2019
    2019
    Citations: 8
  • Skenario Pengelolaan Kualitas Air Sungai Metro Kota Malang Dari Analisa Daya Tampung Beban Pencemaran
    E Hendriarianti
    Jurnal Purifikasi 14 (2), 125-135 , 2014
    2014
    Citations: 8
  • A Comparative Study of Vetiveria zizanioides Leaf Segmentation Techniques Using Visible, Infrared, and Thermal Camera Sensors in an Outdoor Environment
    A Soetedjo, E Hendriarianti
    Applied System Innovation 6 (1), 1 , 2022
    2022
    Citations: 7
  • River water quality performance from carbondeoxygenation rate
    E Hendriarianti, CD Wulandari, E Novitasari
    International Journal of Engineering and Management (IJEM) 1 (1), 28-34 , 2017
    2017
    Citations: 7
  • Perbandingan Efektifitas Biokoagulan Biji Asam Jawa (Tamarindus indica) dan Biji Kelor (Moringa oleifera) dalam menurunkan COD dan TSS Air Limbah Industri Penyamakan Kulit
    E Hendriarianti, HS Latifah, R Bellen
    J. Lingkungan Tropis 7 (1), 55-65 , 2013
    2013
    Citations: 5
  • Leaf temperature monitoring system using low-cost thermal camera and IoT technology
    A Soetedjo, E Hendriarianti
    2023 Second International Conference On Smart Technologies For Smart Nation … , 2023
    2023
    Citations: 4
  • Leaf segmentation in outdoor environment using a low-cost infrared camera
    A Soetedjo, E Hendriarianti
    2021 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6 , 2021
    2021
    Citations: 4