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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Semantik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Abdi Insani Madani : Indonesian Journal of Civil Society Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR eProceedings of Applied Science eProceedings of Engineering Jurnal Rekayasa elektrika Jurnal INFOTEL
Indrarini Dyah Irawati
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Accuracy Improvement for Indoor Positioning Using Decawave on ESP32 UWB Pro with Display and Regression Hapsari, Gita Indah; Munadi, Rendy; Erfianto, Bayu; Irawati, Indrarini Dyah
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.20825

Abstract

In UWB-based indoor positioning, it is important to observe the ranging performance of the UWB module to prevent positioning errors. Ranging is the initial process in computing positioning. This research aims to observe the ranging accuracy and precision of the ESP32 UWB Pro with a Display module and analyze its performance in indoor positioning using TDoA and Trilateration. The ranging method was held using the SS-TWR which is the basic ranging used generally in UWB. ESP32 Pro is a module consisting of ESP32 and OLED display which is integrated with Decawave DW 1000. Analysis of 6750 ranging error data is carried out to determine the appropriate method to increase accuracy. The convergence of error ranges that occur leads to the use of regression as an error mitigation method for Decawave on the ESP32 UWB Pro with Display module. Increasing the accuracy of ranging regression can reduce the error from MAE of 79.98cm to only 5.05cm. It’s applied to positioning to obtain the accuracy and precision performance of the TDoA and Trilateration positioning.  The resulting MAE values are 7.47cm for X and 10.49cm for Y in TDoA Positioning. Meanwhile, in Trilateration, the MAE was 8.15cm for X and 8.47cm for Y. Our findings indicate that an increase in ranging accuracy with regression had an impact on positioning accuracy. However, the spread of error positioning shows that it’s still weak in precision.
Implementation of first order statistical processor on FPGA for feature extraction Hadiyoso, Sugondo; Ramdani, Ahmad Zaky; Irawati, Indrarini Dyah; Wijayanto, Inung
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i2.pp234-243

Abstract

Statistical calculations on signals commonly used in feature extraction. In software processing, statistical computation is an easy task. However, providing a computer requires high costs for simple statistical processing. Another consideration is the need for implementation with real-time and portable processing. Therefore, an alternative device is needed, one of which is the field programmable gate array (FPGA). FPGA is a logic circuit board that can be reconfigured according to computing needs. FPGA can also be used as a prototyping of electronic chips. However, implementing statistical formulas in FPGA is interesting in developing its architecture. Therefore, this research proposes a logic circuit design that can be used for first-order statistical calculations. Statistical parameters include the mean, variance, standard deviation, skewness, and kurtosis. The validation test was performed on the electrocardiogram (ECG) signal series and compared with manual calculations. Validation shows that the mean and variance has very high accuracy with an average error of less than 0.06%.
WORKSHOP IMPLEMENTASI SISTEM AKSES KONTROL LABORATORIUM JARINGAN KOMPUTER MENGGUNAKAN RFID DI SMK AL AMAH SINDULANG-SUMEDANG Irawati, Indrarini Dyah; Ramadan, Dadan Nur; Hadiyoso, Sugondo; Iqbal, Muhammad; Larasaty, Ivosierra Andrea
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.2099

Abstract

Laboratorium komputer jaringan di SMK Al Amah Sindulang memiliki peran penting dalam pembelajaran dan praktikum siswa program studi Teknik Komputer dan Jaringan. Namun, laboratorium ini menghadapi tantangan terkait kekurangan fasilitas, sarana pendukung, keterampilan guru, dan keamanan. Telkom University dan PT Srikaton Inovasi Teknologi (SIT) berkolaborasi untuk menyusun program pengabdian masyarakat. Program ini mencakup pemberian perangkat komputer, pemasangan jaringan, pelatihan instalasi jaringan dan internet, implementasi sistem akses kontrol berbasis RFID, serta pembuatan modul pembelajaran dan video tutorial. Dengan serangkaian kegiatan ini, rasio perangkat komputer dan praktikan meningkat, kompetensi siswa dan guru dalam pengelolaan laboratorium meningkat, dan keamanan akses ke laboratorium terjamin. Program ini bertujuan untuk meningkatkan efektivitas pembelajaran dan praktikum, serta memperkuat kemampuan siswa program studi Teknik Komputer dan Jaringan di SMK Al Amah Sindulang. Melalui Pengabdian Masyarakat ini, terjadi peningkatan signifikan dalam kualitas dan fasilitas laboratorium, sehingga memberikan pengalaman pembelajaran yang lebih baik bagi siswa dan menciptakan lulusan yang kompeten dan siap menghadapi tuntutan dunia kerja di bidang teknologi komputer dan jaringan. Hasil kuisioner kepada peserta menunjukkan bahwa 100% masyarakat sasar setuju bahwa kegiatan ini sesuai dengan kebutuhan dan berharap kegiatan dapat dilaksanakan berkesinambungan.
Comparative Analysis of Imputation Methods for Enhancing Predictive Accuracy in Data Models Zamri, Nurul Aqilah; Jaya, M. Izham; Irawati, Indrarini Dyah; Rassem, Taha H.; Rasyidah, -; Kasim, Shahreen
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1666

Abstract

The presence of missing values within datasets can introduce a detrimental bias, significantly impeding the predictive algorithm's ability to discern patterns and accurately execute prediction. This paper aims to elucidate the intricacies of data imputation methods, providing a more profound understanding of prevalent imputation methods, including list-wise deletion (IGN), mean imputation (AVG), K-Nearest Neighbors (KNN), MissForest (MF), and Predictive Mean Matching (PMM). The dataset employed in this study consists of financial data about S&P 500 companies in the Compustat North America database. The training and validation dataset encompasses 1973 instances, consisting of data during the fourth quarter of 2009, the first quarter of 2010, and the third quarter of 2014. Within this set, 457 missing values were identified and imputed. The test dataset comprises 197 randomly selected instances from the fourth quarter of 2014, equivalent to ten percent of the total instances in the training dataset. The evaluation findings prominently position the dataset derived from MF imputation as the leading performer among all the imputed datasets. The insights derived from this study are intended to assist practitioners in making informed choices when selecting the most suitable data imputation method, particularly in the context of predictive modeling tasks.
Sistem Monitoring Ketersediaan Air pada Perangkat Cuci Tangan Portable berbasis IoT RAMADAN, DADAN NUR; HADIYOSO, SUGONDO; IRAWATI, INDRARINI DYAH
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2: Published April 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.455

Abstract

ABSTRAKPada studi ini diimplementasikan sebuah sistem untuk memantau ketinggian air di dalam drum secara online real-time menggunakan platform Internet of Things (IoT). Sistem ini terdiri dari sensor ultrasonik untuk estimasi ketinggian air, kemudian data tersebut dikirim ke firebase cloud database, untuk diakses oleh perangkat monitoring atau mengakses halaman website. Level air yang tersisa direpresentasikan dalam nilai persen (%). Rata-rata kesalahan pembacaan sensor adalah tidak lebih dari 2%. Delay pengiriman yang digenerate adalah 39,06 ms, sesuai dengan rekomendasi ITU-T untuk komunikasi real-time. Sistem informasi web dapat menampilkan data ketinggian air dalam bentuk numerik dan grafik. Sistem ini telah diterapkan di sekolah menengah pertama Al-Azhar kota Bandung dan diharapkan dapat diperluas penerapannya.Kata kunci: drum, ketinggian air, real-time, IoT ABSTRACTIn this study, a real-time online monitoring of the water level in the drum was implemented using the internet of things (IoT) platform. This system consists of ultrasonic sensors to estimate the water level, then the data is sent to the Firebase cloud database, to be accessed by monitoring devices or accessing a website page. Water level is represented as a percent (%). The average sensor reading error is not more than 2%. The generated delivery delay is 39.06 ms, according to ITU-T recommendations for real-time communication. The web information system can display water level data in numerical and graphic form. This system has been implemented in Al-Azhar junior high school in Bandung and it is hoped that its application can be expanded.Keywords: drums, water level, real-time, IoT
Classification of Nutrient Deficiencies Based on Leaf Image in Hydroponic Lettuce using MobileNet Architecture ADIANGGIALI, ANYELIA; IRAWATI, INDRARINI DYAH; HADIYOSO, SUGONDO; LATIP, ROHAYA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 4: Published October 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i4.958

Abstract

ABSTRAKSaat ini sektor industri di Indonesia tumbuh semakin pesat yang menggeser lahan pertanian menjadi sempit. Hal tersebut mengakibatkan para petani perlu mencari lahan lain untuk tetap dapat memproduksi bahan pangannya. Hidroponik merupakan teknik bertanam menggunakan media air yang memanfaatkan lahan sempit. Salah satu tanaman yang sering diterapkan ialah tanaman selada. Namun, dengan penerapan teknik hidroponik ini masih terdapat kualitas tanaman selada yang kurang baik karena kurang memperhatikan pemeliharaannya sehingga mengakibatkan kurangnya nutrisi pada tanaman selada. Maka dari itu, pada penelitian ini akan membuat sistem klasifikasi defisiensi nutrisi pada tanaman hidroponik selada melalui citra daun dengan menggunakan Convolutional Neural Network (CNN) berbasis arsitektur MobileNetV2. Hasil dalam skenario uji penelitian ini memperoleh akurasi sebesar 88%. Dengan begitu, diharapkan dapat membantu para petani untuk mengetahui defisiensi nutrisi pada tanaman selada agar tetap dapat menjaga kualitas produksi tanaman selada.Kata kunci: CNN, hidroponik, MobileNetV2, nutrisi, selada ABSTRACTCurrently the industrial sector in Indonesia is growing rapidly which shifts agricultural land to narrow. This resulted in farmers needing to look for other land to continue to be able to produce their food. Hydroponics is a farming technique using water media that utilizes narrow land. One of the plants that is often used is lettuce. However, with the application of this hydroponic technique, the quality of lettuce plants is still not good due to lack of attention to maintenance, resulting in a lack of nutrition in lettuce plants. Therefore, this research will create a nutritional deficiency classification system in hydroponic lettuce through leaf images using a Convolutional Neural Network (CNN) based on the MobileNetV2 architecture. The results in this research test scenario obtained an accuracy of 88%. That way, it is hoped that it can help farmers to find out nutritional deficiencies in  lettuce plants so that they can maintain the quality of lettuce production.Keywords: CNN, hydroponic, lettuce, MobileNetV2, nutrition
Shadowing and Mobility Effect on Proactive and Reactive Routing Protocol in MANET ISTIKMAL, ISTIKMAL; HADIYOSO, SUGONDO; IRAWATI, INDRARINI DYAH; IRAWAN, ARIF INDRA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.966

Abstract

ABSTRAKPada makalah ini, kami membandingkan protokol routing proaktif Optimized Link State Routing (OLSR) dan protokol routing reaktif Ad-hoc on-demand distance vector (AODV) dan Dynamic Source Routing (DSR) pada model propagasi Shadowing dan pergerakan pada mobile adhoc network (MANET). Terdapat dua skenario pengujian, yaitu dampak dari kecepatan pergerakan pengguna dan variasi waktu jeda pengguna dengan mobilitas Random Way Point (RWP). Hasil simulasi menunjukkan bahwa semakin besar kecepatan maka kinerja throughput akan menurun, sedangkan delay dan Normalized Routing Load (NRL) akan meningkat. Semakin lama waktu jeda, semakin lama topologi berubah, akibatnya parameter throughput meningkat sedangkan delay end-to-end dan NRL menurun. OLSR proaktif menunjukkan kinerja terbaik dibandingkan dengan protokol lain berdasarkan parameter throughput, sedangkan AODV reaktif mengungguli penundaan end-to-end dan parameter NRL.Kata kunci: Protokol perutean, shadowing, Mobility, MANET ABSTRACTIn this paper, we compared the proactive routing protocols Optimized Link State Routing (OLSR) and the reactive routing protocols Ad-hoc on-demand distance vector (AODV) and Dynamic Source Routing (DSR) in shadowing propagation and mobility model on mobile adhoc network (MANET). There are two test scenarios, such as the impact of user movement velocity and variations in user pause time with Random Way Point (RWP) mobility. In user velocity testing, the greater the speed, the throughput performance will decrease, while the delay and Normalized Routing Load (NRL) will increase. The pause time test describes the dynamics of changing network topology. The longer the pause time, the longer the topology changes, as a result, the throughput parameter increases while the end-to-end delay and NRL decrease. The proactive OLSR shows the best performance compared to other protocols based on throughput parameters, while the reactive AODV outperforms for end-to-end delay and NRL parameters.Keywords: routing protocol, shadowing, Mobility, MANET
Output current ripple analysis of single phase inverter with discontinuous PWM Muqorobin, Anwar; Wijanarko, Sulistyo; Santosa, Harjono Priyo; Irawati, Indrarini Dyah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2253-2261

Abstract

Voltage source inverter has been applied for uninterruptible power supply (UPS), renewable energy sources, and motor drive. The popular modulations for inverters are sinusoidal pulse width modulation (SPWM), zero sequence signal modulation (ZSS), space vector modulation (SVM), and discontinuous PWM (DPWM). All these modulations have been applied to three-phase and multiphase inverters. The characteristics of the modulation application in these inverters have been well investigated. However, only SPWM has been applied satisfactorily in single-phase inverter. From the literature, the applications of ZSS and DPWM couldn’t show any benefit. In this paper, a DPWM is proposed for single-phase inverter. The output current ripple is analyzed and experiments are conducted to verify the analytical result. Comparison to SPWM is conducted to find the modulation index range that provides a benefit when using the DPWM.
IMPLEMENTASI KONTAINER KANTOR UNTUK MENDUKUNG PROGRAM SINDULANG NETCONNECT SEBAGAI STASIUN WI-FI PUBLIK DAN RUANG KOMUNITAS DIGITAL Irawati, Indrarini Dyah; Hadiyoso, Sugondo; Munadi, Rendy; Hertiana, Sofia Naning; Istikmal, Istikmal
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 7 (2024): PKMCSR2024: Kolaborasi Hexahelix dalam Optimalisasi Potensi Pariwisata di Indonesia: A
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v7i0.2372

Abstract

The Sindulang Village community faces obstacles in internet access due to uneven network infrastructure. This challenge makes it difficult for residents to obtain the latest information which is a key factor in supporting economic progress, education, and community welfare in the area. These obstacles arise due to geographical conditions that are difficult to access and suboptimal regional structures, which cause significant obstacles in resource management and accessibility. The Telkom University, PT. Tigaresi Bangun Nusaperdana, and SMK Al Amah Sindulang community service teams together overcome these obstacles by building Sindulang NetConnect as a public Wifi station as an innovative answer to provide easy internet access while accelerating the digitalization process for the Sindulang Village Community. In addition, in order to develop the Teaching Factory (TeFa) at SMK Al Amah Sindulang, an office container was implemented as a means of producing a Wifi network that can be used by students to improve their skills and experience in the networking field. This implementation was carried out in 2 stages, where the first stage was the construction of an office container and public Wifi services and in the second year a digital community space would be developed. Based on the results of the questionnaire on 30 respondents, it showed that 93.3% strongly agreed with the implementation of office containers as public Wifi stations and TeFa facilities that provide benefits for the Sindulang Village Community and students of SMK AL Amah Sindulang.
CS-based Lung Covid-Affected X-Ray Image Disorders Classification using Convolutional Neural Network Triasari, Biyantika Emili; Budiman, Gelar; Maidin, Siti Sarah; Jaya, M. Izham; Hariyani, Yuli Sun; Irawati, Indrarini Dyah; Zhao, Zhong
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.371

Abstract

Lung diseases, such as pneumonia, significantly affect the respiratory system, especially the lungs. This condition causes various degrees of lung damage in patients of all age groups, including the elderly, adults, and children. Even after treatment and recovery, diagnosing lung damage remains important, which can be done using rapid tests, clinical evaluations, CT scans, or X-rays. This study focuses on the classification of X-ray images of lungs affected by pneumonia and normal lungs, using the Convolutional Neural Network method based on Compressive Sensing (CS) simulated using MatLab. The purpose of the study is to determine the performance by calculating the confusion matrix value. The number of datasets used for normal lungs and those affected by pneumonia is 300 X-ray images from several different sources, with 60% training data, 30% validation, and 10% testing. The addition of the compression process causes a decrease in image quality, expressed in PSNR, as well as a decrease in classification parameters such as accuracy. Compared with previous research, the system without compression produces the highest accuracy. The results of the study can help classify lungs affected by pneumonia.
Co-Authors ., Ridwan A. V. Senthil Kumar Abi Hakim Amanullah Adi Arief Wicaksono ADIANGGIALI, ANYELIA Afandi, Mas Aly Akhmad Alfaruq Akhmad Hambali Alfaruq, Akhmad Andri Juli Setiawan Anggun Fitrian Isnawati Anwar Muqorobin Aprilia, Rizky Arfianto Fahmi Arif Indra Irawan ARIS HARTAMAN Ary Nugroho, Bambang Asep Mulyana Ayu Irmawati Bagus Budi Wibowo Bayu Erfianto Dadan Nur Ramadan Didi Supriyadi Dzikri Fajduani, Fazrian Ezi Rohmat Fadilla , Rahma Fairuz Azmi Fajrul Falaah, Alif Fandi Fachrulrozi, Muhammad Farhan Alghifari Chaniago Saputro, Muhammad Gabriel Sabadtino Siahaan Gelar Budiman Gita Indah Hapsari Hadjwan, Razel Hafidudin . Hanan Lutfianto, Naufal Ibnu Syahban M, Novaldi Inung Wijayanto Istikmal Ivosierra Andrea Larasaty Jaya, M. Izham Justisia Satiti Larasaty, Ivosierra Andrea LATIP, ROHAYA Leanna Vidya Yovita Lenna Vidya Yovita Lestari Lestari Lionel Saonard, Aldo Lutvi Murdiansyah Murdiansyah Maidin, Siti Sarah Miftahul Khairat Sukma Muh. Kurniawan, A. Muhamad Roihan Muhammad Dimas Arfianto Muhammad Dimas Arfianto, Muhammad Dimas Muhammad Iqbal Musyaffa, Nadhif Athallah Nadhya Gita Anggana Natia Pradnyaswari, Luh Gede Nita Laananila, Grace Nur Ramadhan, Dadan Nurwan Reza Fachrurrozi Nyoman Karna, Nyoman Paundra Aldila Pradana, Gde Agus Wira Satria Pradika Caesarizky Kurniahadi Prayoga, Andry Priawan, Agi Rahmafadilla, Rahmafadilla Ramadhan, adan Nur Ramdani, Ahmad Zaky Rassem, Taha H. Rasyidah, - Rendy Munadi Reni Dyah Wahyuningrum Ridha Muldina Negara Ridwan . Rita Purnamasari Rizal, Mochammad Fahru Rizky Aulia Rahman ROHMAT TULLOH Roykhan Sukma, Hanif Sandova, Fisal Oktafian Penta Sandy Purniawan Santosa, Harjono Priyo Sasmi Hidayatul Yulianing Tyas Shahreen Kasim, Shahreen Shiddiq, Rama Wijaya Silvia, Helen Siti Sarah Maidin Siti Zahrotul Fajriyah Sofia Naning Hertiana Sri Huning Anwariningsih Suci Alfi Syahri Tune, Andi Suci Aulia Suci Aulia Sugeng Santoso Sugondo Hadiyoso Susi Susanti Suyatno Suyatno Syifa Nurgaida Yutia Tasya Chairunnisa Tita Haryanti Triasari, Biyantika Emili Uwais Razaqtana, Muhammad Vivi Monita Wartingrum, Nadia Wijanarko, Sulistyo Yudha Purwanto Yudiansyah Yudiansyah YULI SUN HARIYANI Zamri, Nurul Aqilah Zero Fomandes, Muhammad Zhao, Zhong