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Sistem Pengendali Suhu, Kelembaban Dan Cahaya Dalam Rumah Kaca Hariadi, Tony K
Jurnal Semesta Teknika Vol 10, No 1 (2007): MEI 2007
Publisher : Jurnal Semesta Teknika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Rumah kaca merupakan sebuah bangunan tempat budidaya tanaman dengan pengaturan beberapa variabel di dalamnya agar sesuai dengan kebutuhan tumbuh kembang tanaman yang sedang dibudidayakan saat itu. Perkembangan teknologi elektronika memungkinkan untuk melakukan pengendalian variabel-variabel tersebut secara otomatis dan terus menerus. Penelitian dan perancangan ini bertujuan untuk membuat sebuah sistem pengendali temperatur, kelembaban, cahaya, dan penyiraman dalam rumah kaca secara terpadu. Implementasi pengendalian rumah kaca dilakukan dengan menggunakan mikrontroler sehingga memudahkan pemrograman terhadap kondisi-kondisi tanaman yang berbeda-beda dengan berbagai perlakuan yang berbeda pula. Suhu diatur menggunakan air conditioner yang sudah dimodifikasi untuk diprogram dari mikrokontroller,s sedangkan pengaturan cahaya menggunakan lampu dan pengaturan lain adalah kelembaban berdasarkan perhitungan suhu basah dan kering serta penyiraman. Setelah pembuatan alat selesai, maka alat tersebut diujicobakan didalam rumah kaca dan diamati kondisi di dalam rumah kaca selama 3 kali 24 jam.Â Hasil ujicoba menunjukkan bahwa alat tersebut mampu mengendalikan parameter-parameter yang diinginkan sesuai dengan program pada mikrokontroler, dan mampu mengurangi efek kondisi cuaca di luar rumah kaca.

Development of Leaf Area Meter Using Open CV for Smartphone Application Tony K. Hariadi; Zulfan Fadholi; Anna NN Chamim; Nafi A Utama; Indira Prabasari; Slamet Riyadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.8608

This study aimed to design an accurate and practical system of leaf area determination using a smartphone. A software application for leaf area computation was developed using Open CV (Open Source Computer Vision) library. Open CV software was tested to estimate the accuracy of leaf area calculation. Leaf area calculations were undertaken using three different image resolutions to compare their accuracy. The results of the software calculations were then compared with the results of the laboratory leaf area meter to identify any errors. The results showed that higher image resolutions improved accuracy by reducing errors. High resolution image gave higher accuracy, however processing speed decreased. Leaf measurement in this project resulted in accuracy range between 92.8% to 99.0%. It was concluded that the Open CV algorithm gave fast and adequate accuracy for leaf area calculation, and that the smartphone mobile application system was practical for field use.

Using a Combination of PID Control and Kalman Filter to Design of IoT-based Telepresence Self-balancing Robots during COVID-19 Pandemic Iswanto Suwarno; Alfian Ma'arif; Nia Maharani Raharja; Tony Khristanto Hariadi; Muhammad Abdus Shomad
Emerging Science Journal Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-016

COVID-19 is a very dangerous respiratory disease that can spread quickly through the air. Doctors, nurses, and medical personnel need protective clothing and are very careful in treating COVID-19 patients to avoid getting infected with the COVID-19 virus. Hence, a medical telepresence robot, which resembles a humanoid robot, is necessary to treat COVID-19 patients. The proposed self-balancing COVID-19 medical telepresence robot is a medical robot that handles COVID-19 patients, which resembles a stand-alone humanoid soccer robot with two wheels that can maneuver freely in hospital hallways. The proposed robot design has some control problems; it requires steady body positioning and is subjected to disturbance. A control method that functions to find the stability value such that the system response can reach the set-point is required to control the robot's stability and repel disturbances; this is known as disturbance rejection control. This study aimed to control the robot using a combination of Proportional-Integral-Derivative (PID) control and a Kalman filter. Mathematical equations were required to obtain a model of the robot's characteristics. The state-space model was derived from the self-balancing robot's mathematical equation. Since a PID control technique was used to keep the robot balanced, this state-space model was converted into a transfer function model. The second Ziegler-Nichols's rule oscillation method was used to tune the PID parameters. The values of the amplifier constants obtained were Kp=31.002, Ki=5.167, and Kd=125.992128. The robot was designed to be able to maintain its balance for more than one hour by using constant tuning, even when an external disturbance is applied to it. Doi: 10.28991/esj-2021-SP1-016 Full Text: PDF

Sistem Pengendali Suhu, Kelembaban Dan Cahaya Dalam Rumah Kaca Tony K Hariadi
Semesta Teknika Vol 10, No 1 (2007): MEI 2007
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v10i1.856

Rumah kaca merupakan sebuah bangunan tempat budidaya tanaman dengan pengaturan beberapa variabel di dalamnya agar sesuai dengan kebutuhan tumbuh kembang tanaman yang sedang dibudidayakan saat itu. Perkembangan teknologi elektronika memungkinkan untuk melakukan pengendalian variabel-variabel tersebut secara otomatis dan terus menerus. Penelitian dan perancangan ini bertujuan untuk membuat sebuah sistem pengendali temperatur, kelembaban, cahaya, dan penyiraman dalam rumah kaca secara terpadu. Implementasi pengendalian rumah kaca dilakukan dengan menggunakan mikrontroler sehingga memudahkan pemrograman terhadap kondisi-kondisi tanaman yang berbeda-beda dengan berbagai perlakuan yang berbeda pula. Suhu diatur menggunakan air conditioner yang sudah dimodifikasi untuk diprogram dari mikrokontroller,s sedangkan pengaturan cahaya menggunakan lampu dan pengaturan lain adalah kelembaban berdasarkan perhitungan suhu basah dan kering serta penyiraman. Setelah pembuatan alat selesai, maka alat tersebut diujicobakan didalam rumah kaca dan diamati kondisi di dalam rumah kaca selama 3 kali 24 jam. Hasil ujicoba menunjukkan bahwa alat tersebut mampu mengendalikan parameter-parameter yang diinginkan sesuai dengan program pada mikrokontroler, dan mampu mengurangi efek kondisi cuaca di luar rumah kaca.

Renewable Energy Investment for Middle and Upper Class Housing Sector in Indonesia: Investigating the Scope for a Change in Policy Tony K. Hariadi; Milou Derks; Agus Jamal; Slamet Riyadi
Journal of Electrical Technology UMY Vol 2, No 1 (2018)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.2129

The household sector plays an important role in the energy demand in Indonesia. Households consume more than 50% of total energy in many major cities in Indonesia and account for 34% of the total energy demand. The main share of capital allocation and attention, however, has gone to rural electrification programs over the past years with mixed results, due to an abundance of problems during the operation phase. We propose that government attention and capital should be broadened to policy development for solar home systems for urban areas. The problems that are encountered by rural electrification projects are mainly due to a lack of resources and unclear task allocation between involved parties and difficulties of addressing problems in remote environments. These risks are insignificant in urban areas where maintenance services are available and where solar home systems can be commercially interesting for higher income consumers without the need for subsidy. By means of a cost benefit analysis, this paper shows that solar home systems can be commercially interesting for households in urban areas. Different investment scenarios were worked out with systems costing 5%, 10%, and 15% of the total average house price. The analysis indicates that the policy is feasible when solar systems are coupled to the grid but not for off-grid systems. This is because the battery leads to high investment and maintenance cost. From a government point of view, developing policy towards renewable energy usage in urban households could help to reach national electrification and environmental targets without extra capital allocation as well as relieve pressure on the already overburdened state electricity company, the PLN.

Current and Voltage Harmonics Analysis in Green Building Case Study in Universitas Muhammadiyah Yogyakarta Tony K. Hariadi; Agus Jamal; Nurohman Fadilah; Faaris Mujaahid
Journal of Electrical Technology UMY Vol 4, No 2 (2020): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v4i2.10984

This paper described research to investigate Total Harmonic Distortion (THD) on a supposedly green building; Admission Building in Universitas Muhammadiyah Yogyakarta. Observation was done for seven days involving peak and non-peak hours including workdays and off days. Data sampling was recorded 24 hours with one-hour interval for primary parameter data including voltage, current, power factor and frequency on each phase in three phases system. Secondary data calculated to find voltage and current THD and finally to evaluate the loss of money due to power loss as the result of harmonic and unbalance load. Investigation indicated that the building has not met the IEEE 512-2014 standard for Total Harmonic Distortion. National electricity company, PLN (Perusahaan Listrik Negara) as Government Company, has made regulation about tariff and standard. Electricity tariff in Indonesia has been divided into categories based on user, commercial, social, or housing. Based on this tariff, loss of cost was calculated. Cost due to electricity loss in the building was not high since the building has good electricity installation as green building. Total Harmonic distortion reduction was recommended using single tune order 5 filter.

Classification of Mangosteen Surface Quality Using Principal Component Analysis Slamet Riyadi; Amelia Mutiara Ayu Ratiwi; Cahya Damarjati; Tony K. Hariadi; Indira Prabasari; Nafi Ananda Utama
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.

Application of Internet of Things (IoT) Technology to KWT “Sido Makmur” Oyster Mushroom Cultivation Widyasmoro Widyasmoro; Taufiq Hidayat; Tony K Hariadi; Norazhar Bin Mohamed Sepet; Wee Eng Soon
Berdikari: Jurnal Inovasi dan Penerapan Ipteks Vol 11, No 1 (2023): February
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/berdikari.v11i1.18325

Ngaran Hamlet, an area in Gilangharjo Village, Pandak District, Bantul Regency, DIY, has a Women Farmers Group (KWT), "Sido Makmur," which is engaged in oyster mushroom cultivation. One of the challenges KWT "Sido Makmur" faces is the fluctuation and instability of oyster mushroom production due to environmental conditions around the mushroom barn, which are not always ideal. To overcome this, the Community Service Team from Universitas Muhammadiyah Yogyakarta (UMY), in collaboration with Singapore Polytechnic (SP), carried out Community Service activities under the Community Partnership (PKM) scheme. This service aims to assist KWT "Sido Makmur" in facing the challenges of oyster mushroom production by designing and implementing Appropriate Technology in the form of a temperature and humidity monitoring system in mushroom barns based on the Internet of Things (IoT). The service team's programs and activities include planning, designing, implementing, testing, and analyzing the IoT technology-based mushroom monitoring system for temperature and humidity. This system allows oyster mushroom farmers in Ngaran Hamlet to monitor the condition of the mushroom coop in real-time and remotely via the IoT platform to increase the productivity of oyster mushrooms optimally. The results of the implementation and testing of the system show that the monitoring tool for temperature and humidity in the IoT-based mushroom barn has been proven to function properly in accordance with the design planning and expectations of oyster mushroom farmers in Ngaran Hamlet.

Analysis of Cross Validation on Classification of Mangosteen Maturity Stages using Support Vector Machine Prabasari, Indira; Zuhri, Afrizal; Riyadi, Slamet; Hariadi, Tony K; Utama, Nafi Ananda
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22359

This study explores the efficacy of the Support Vector Machine (SVM) method in classifying mangosteen fruit images based on six ripeness levels. Employing SVM enables nonlinear data classification and simultaneous utilization of multiple feature extractions, resulting in enhanced accuracy. Analysis reveals that models integrating three feature extractions outperform those with only two. With ample training data and optimized parameters, SVM achieves detection accuracy exceeding 90%. However, algorithmic enhancements are necessary to compute RGB color index values for all pixels on mangosteen skin surfaces, possibly through circular-shaped windows approximating the fruit's contour. Moreover, comparative assessments of RGB color system calculations against alternative systems such as HSI are crucial for selecting the most suitable color model in alignment with human perception.

Classification of Mangosteen Surface Quality Using Principal Component Analysis Riyadi, Slamet; Ayu Ratiwi, Amelia Mutiara; Damarjati, Cahya; Hariadi, Tony K.; Prabasari, Indira; Utama, Nafi Ananda
Emerging Information Science and Technology Vol. 1 No. 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.115

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.

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