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All Journal International Journal of Public Health Science (IJPHS) Indonesian Journal of Electronics and Instrumentation Systems Jurnal Teknik Elektro JAM : Jurnal Aplikasi Manajemen ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Electrical Technology UMY Indonesian Review of Physics (IRiP) Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi Jurnal Genesis Indonesia
Muhammad Miftahul Amri
Fakultas Teknologi Industri, Universitas Ahmad Dahlan
Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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Sistem Pengukuran Nitrogen, Fosfor, Kalium Dengan Local Binary Pattern Dan Analisis Regresi Muhammad Miftahul Amri; Raden Sumiharto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (986.362 KB) | DOI: 10.22146/ijeis.34132

Abstract

Nitrogen, Phosphorus and Potassium (NPK) are macro elements that important for the paddy development. NPK is a parameter that used for calculating fertilizer dosage. Current NPK measurement through laboratory requires a relatively long time, so we design a new system that can speed up the process and provide correct fertilizer dosage recommendations.This paper proposes an android based system using Local Binary Pattern (LBP) and Regression Analysis to measure soil nutrients and provide fertilizer dosage recommendations based on the LPT Bogor's formula. Samples of soil image taken from rice fields in Special Region of Yogyakarta. The measurement is processed by extracting LBP features from the soil image that has through the pre-processing stage. The extraction results were then analyzed using Multiple Linear Regression (MLR). The equation results from MLR is used to calculate NPK.The results show that the proposed system can detect NPK levels in paddy fields in Yogyakarta and provide fertilization dosage with an average detection accuracy of 70.65% (N 94.98%, P 50.84 %, and K 66.14%). The accuracy was obtained from the image taking at an optimal height of 70 cm and optimal angle of 0o to the ground surface. The average processing time is 0.61 seconds.
Design of Circular Patch Array Microstrip Antenna Using Slot for ISM Band Liya Yusrina Sabila; Anton Yudhana; Muhammad Miftahul Amri; Asra Akrima; Igo Putra Pratama
Journal of Electrical Technology UMY Vol 6, No 2 (2022): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v6i2.16514

Abstract

This paper presents a Microstrip Antenna Analysis for the ISM Band with a circular patch design with a radius of 17 mm at a frequency of 2,400 – 2.484 GHz. The fabricated array antenna has a very compact width and length of 9.5 x 7.5 cm each. Therefore, an increase in bandwidth on the monopole antenna can be applied to the array arrangement. So to get the best antenna design, two optimizations of antenna size changes are carried out during the simulation: optimization of patch radius and slot length. The radius variation is used to shift the frequency range and slot length for impedance matching, as seen from the S11 value of less than -10 dB. From each change, the best results are taken. Experiments get the best antenna simulation results and are then fabricated. From the measurement results on the fabricated antenna, the lowest S11 value is -19.602 dB, and the gain is 3.52 dBi. The slot technique's optimization process has successfully shifted the frequency to approximately 100 MHz and increased the bandwidth by about 5% or 40 MHz.
Recommendation of precision medicine application in Indonesia from multiple perspective: a review Urfa Khairatun Hisan; Muhammad Miftahul Amri
International Journal of Public Health Science (IJPHS) Vol 12, No 1: March 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i1.22010

Abstract

Recently, precision medicine has gained much attention. Precision medicine helps reduce trial-and-error prescribing and minimize adverse drug reactions while improving the drug's effectiveness. Precision medicine is a medical method that seeks to maximize healthcare quality by tailoring the healthcare process to each patient's unique characteristics. In the era of rapid technological growth and data explosion, precision medicine's development has become very promising. Development of techniques for obtaining medical data; significant reductions in the cost of bio sequencing; massive development of computing tools, storage systems, and wireless communication systems; as well as the development of data analysis techniques based on artificial intelligence have all become significant driving forces in the advancement of precision medicine. In this manuscript, we summarized previous studies on precision medicine development. In addition, we discussed the opportunities and potential challenges of precision medicine development, particularly in Indonesia. Despite its promising potential, many challenges remain to be overcome to develop precision medicine. Good regulations for patient data ownership and clinical data-sharing, followed by sufficient data infrastructure and human resource capabilities, are the most critical factors in ensuring success in precision medicine. Moreover, guaranteeing data safety, patient privacy, and genome fairness are other issues that must be addressed.
Intelligent Reflecting Surfaces Adaptive Beamsteering and PSK Direct Modulation Muhammad Miftahul Amri; Ghafar Ramadhan Faqih
Engineering Science Letter Vol. 1 No. 01 (2022): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2205.308 KB) | DOI: 10.56741/esl.v1i01.58

Abstract

Intelligent Reflecting Surfaces (IRS), a planar array consisting of a large number of low-cost and low-complexity metal patch elements, is predicted to be among the key technologies in future wireless communications. This is mainly due to its capability to improve wireless energy and spectrum efficiency by reconfiguring the wireless environment in a smart and flexible way. IRS is capable of shifting the phase, amplitude, frequency, or even polarity of the impinging electromagnetic (EM) wave. However, only the phase-shift type of IRS is widely adopted in most scenarios. In this paper, we exploit the property of such IRS to directly modulate an incident EM wave with phase shift keying (PSK) modulation. We consider one transmit antenna that transmits a continuous single-tone electromagnetic (EM) wave, which is then modulated by the IRS and reflected toward the receiver. In addition to the theoretical explanation, we present simulation results with different modulation orders. Moreover, we validated the simulation results by experiment. Furthermore, we also proposed a beam scanning method to obtain IRS patterns to steer the beam towards the desired direction in an adaptive manner. One optimal pattern that maximizes the received power is then selected from the beam scanning codebook. By doing so, a wireless path strength can be significantly improved.
RFID Tag-equipped Drone for Antenna Array-based Localization: A Step-by-Step MATLAB Simulation Tutorial Arif Abdul Aziz; Muhammad Miftahul Amri
Engineering Science Letter Vol. 1 No. 02 (2022): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.418 KB) | DOI: 10.56741/esl.v1i02.161

Abstract

In the last decades, Radio Frequency Identifiers (RFID) has gained massive popularity.In the last decades, Radio Frequency Identifiers (RFID) have gained massive popularity. RFID technology allows data to be encoded in a small form (tag). The data contained inside the RFID tag can be captured wirelessly by the RFID reader through electromagnetic (EM) waves. On the other hand, localization techniques have achieved significant developments in the last decade. There is a wide range of localization tool variations, including satellite-based localization (i.e., GPSS, GLONASS), Bluetooth Low Energy (BLE), IMU, camera, infrared sensor, and even RF-based localization. In this work, we present an accurate localization technique via battery-less passive RFID tag-UAV integration. We have employed two low-complexity methods: generalized cross-correlation with phase transformation (GCC-PHAT) algorithm and triangulation technique. By simulation, we have validated that an accurate antenna array-based dynamic localization can be realized. For the sake of simplicity, we only demonstrate two-dimensional movement. However, the identical method can also be used in the three-dimensional movement. While this paper considers only two antenna arrays and one RFID tag, the proposed concept can be expanded to a more extensive system with a larger number of antenna arrays and RFID tags.
Telemedicine and COVID-19 Pandemic: Valuable Lessons for Future Implementations Urfa Khairatun Hisan; Irianto Irianto; Ihwan Ghazali; Muhammad Miftahul Amri
Journal of Novel Engineering Science and Technology Vol. 1 No. 02 (2022): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.116 KB) | DOI: 10.56741/jnest.v1i02.237

Abstract

Telemedicine has gained significant momentum during the pandemic. Telemedicine offers a way for people to access medical care without having to physically visit a healthcare facility, which can be especially important when in-person visits may not be safe due to a highly contagious virus. One major benefit of telemedicine is that it allows for the continuation of healthcare services while also helping to reduce the spread of COVID-19. By providing virtual consultations and treatments, telemedicine helps to limit the number of in-person visits. This is critical to reduce the risk of exposure to the virus and prevent healthcare facilities from becoming overwhelmed. Telemedicine has also helped to address some challenges that have arisen as a result of the pandemic. For instance, by using telemedicine, healthcare providers can reduce the need for PPE and maintain a safe distance while still providing necessary medical care. Despite the many benefits, there are also some challenges and limitations. For example, not everyone has access to the necessary resource to participate in telemedicine. Additionally, some medical procedures and treatments may not be suitable for telemedicine, requiring in-person visits. Moreover, it is important to consider the ethical issues that it raises and to work toward solutions that address these concerns. This can involve measures such as ensuring that telemedicine is available and accessible to all who need it, protecting patient privacy and confidentiality, and ensuring that telemedicine is used in a way that provides the highest quality and most appropriate care for patients.
Peran Chatbot dalam Menangani Masalah Kesehatan Mental selama Pandemi COVID-19: Tinjauan Mini Urfa Khairatun Hisan; Muhammad Miftahul Amri
Bincang Sains dan Teknologi Vol. 1 No. 01 (2022): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1150.577 KB) | DOI: 10.56741/bst.v1i01.33

Abstract

Pada artikel ini, kami menyajikan ulasan mini tentang potensi chatbot untuk memerangi masalah kesehatan mental selama pandemi COVID-19. Kami menyajikan perbandingan studi terdahulu terkait COVID-19 dan pengembangan chatbot. Kami juga melakukan survei mini untuk memberikan wawasan tentang bagaimana orang memandang chatbot sebagai bantuan kesehatan mental mereka. Naskah ini bertujuan untuk memberikan gambaran tentang kemungkinan pengembangan chatbot untuk mengurangi penyakit mental. Ada beberapa hal yang perlu diperhatikan secara serius dalam mengembangkan chatbot untuk dukungan emosional, antara lain masalah keamanan, perhatian privasi, dan paradigma etika. Namun, di antara referensi yang menarik, sebagian besar menunjukkan bahwa chatbot adalah alternatif yang baik untuk memerangi masalah kesehatan mental, terutama selama pandemi COVID-19.
Peluang Pemanfaatan Google Trends dalam Pencegahan Masalah Kesehatan Massal: Studi Kasus COVID-19 Indah Rahmawati; Tarisa Afira Pramesti; Urfa Khairatun Hisan; Muhammad Miftahul Amri
Bincang Sains dan Teknologi Vol. 1 No. 01 (2022): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1432.072 KB) | DOI: 10.56741/bst.v1i01.67

Abstract

Pada artikel ini, penulis melakukan investigasi terhadap peluang pemanfaatan informasi dari mesin pencarian daring (dalam hal ini Google Trends), sebagai sumber data surveilans, untuk mengatasi masalah kesehatan berskala massif (khususnya Pandemi COVID-19). Ditemukan bahwa frekuensi pencarian Google Trends pada kata kunci yang diasosiasikan dengan gejala virus COVID-19 beberapa kali mengalami peningkatan pesat. Peningkatan frekuensi pencarian ini ternyata diikuti dengan peningkatan kasus infeksi virus COVID-19 di Indonesia. Kemudian, ditemukan peningkatan angka pencarian kata kunci yang berkaitan dengan pertimbangan seseorang dalam mengambil keputusan vaksinasi pada periode Januari 2021 hingga Maret 2022. Pada bulan Januari 2021 merupakan bulan dimana pemerintah mulai menggalakkan program vaksinasi masal di Indonesia. Dengan meningkatnya angka pemakaian internet, dan angka penggunaan mesin pencari daring di Indonesia, diharapkan informasi frekuensi pencarian kata kunci di mesin pencari seperti Google Trends dapat digunakan sebagai sumber informasi surveilans alternatif.
Recent Trends in Fractal Antenna Research for In-body Communications Muhammad Miftahul Amri; Ghafar Ramadhan Faqih
Bincang Sains dan Teknologi Vol. 1 No. 02 (2022): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1633.938 KB) | DOI: 10.56741/bst.v1i02.160

Abstract

Fractal structure is a unique geometry that can be seen in many objects in nature, such as clouds, coastlines, DNA, trees, and even pineapple. This structure has manifold geometries, self-similarities, and space-filling properties. Due to these properties, fractal geometries are preferred to miniaturize an antenna in wireless communications. There are many cases that require a small compact antenna, including in-body communications. In this article, we present a review of the recent trends and advancements in fractal antenna research, especially in the miniaturization of implantable antennas for in-body communications. The review is derived from articles that are gathered from online libraries such as IEEE, PubMed, Nature, MDPI, Elsevier, and Google Scholar. As a result, we have collected more than 60 articles related to fractal-implantable antenna and in-body communications. Indeed, many researchers have proposed an implantable compact antenna with fractal geometries in the last decades. Fractal geometry allows a longer electrical length to be routed in a smaller area of the antenna. However, several things remain challenging in designing a fractal antenna, including bandwidth, fabrication complexity, and intercell interference.
Studi Banding Implementasi Metode Hidden Markov Model dalam Pengenalan Tulisan Tangan Muhammad Miftahul Amri
Jurnal Genesis Indonesia Vol. 1 No. 01 (2022): Jurnal Genesis Indonesia
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.213 KB) | DOI: 10.56741/jgi.v1i01.26

Abstract

Hidden Markov Model (HMM) adalah model distribusi yang menghasilkan observasi yang bergantung pada keadaan pokok dan tidak dapat diamati (tersembunyi) pada Proses Markov. Metode pemodelan ini dapat diterapkan pada berbagai aplikasi secara fleksibel untuk data time series univariat dan multivariat, terutama untuk series dengan nilai diskrit, termasuk series pengelompokan dan series perhitungan. [1] HMM dapat digunakan untuk memprediksi kemungkinan demonstrasi massa, mengenali ekspresi wajah seseorang, seismokardiograf, dsb. Penggunaan metode HMM untuk pengenalan tulisan tangan telah sering dilakukan. Namun dari berbagai penelitian yang telah dilakukan, terdapat perbedaan metode ekstraksi fitur maupun metode pelatihan. Paper ini bertujuan untuk mengetahui metode dan parameter dari HMM yang menghasilkan performa terbaik dalam pengenalan tulisan tangan. Berdasarkan hasil perbandingan penelitian yang telah dilakukan sebelumnya [7, 8, 9, 10, 11, 12], didapatkan kombinasi metode yang paling optimal adalah ekstraksi 24 fitur meliputi kerapatan piksel hitam, posisi vertikal & horizontal piksel hitam, serta arah (kecekungan) piksel dengan batas ambang adaptif. Kemudian nilai tersebut diolah dengan menggunakan kombinasi planar HMM (hybrid) dan advanced HMM yang bersifat adaptif. Semakin banyak jumlah state dan sampel data, maka akurasi pengenalan akan semakin baik. Namun, waktu komputasi juga akan semakin lama. Maka, jumlah state dan sampel yang paling optimal perlu ditentukan melalui simulasi dan eksperimen.
Co-Authors AKRIMA, ASRA Anita Maharani Anton Yudhana Arif Abdul Aziz Asra Akrima Ghafar Ramadhan Faqih Ghafar Ramadhan Faqih Hidayah, Zainur Hisan, Urfa Khairatun Igo Putra Pratama Ihwan Ghazali Indah Rahmawati Irianto Irianto Liya Yusrina Sabila Mahamadaree Waeno Muhammad Zain Musa PRATAMA, IGO PUTRA Raden Sumiharto Sabila, Liya Yusrina Tarisa Afira Pramesti Urfa Khairatun Hisan Urfa Khairatun Hisan