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RANCANG BANGUN SMART HOME AUTOMATIC CONTROL dengan KOMUNIKASI MELALUI BLUETOOTH HC-05 BERBASIS MIKROKONTROLER ARDUINO dan ANDROID Erwinnanto, Yohan; Kurniawan Nugroho, Andi; Heranurweni, Sri
eLEKTRIKA Vol 9, No 2 (2017): Oktober 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v9i2.1161

Design of Smart Home Automatic Control with Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android, will provide all the comfort, safety, security and energy savings, which takes place automatically and programmed via microcontroller, the house or building. Design of Smart Home Automatic with Control Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android is intended for automatic control processes. The system consists of seven sensors, keypad password for security doors, HC-05 Bluetooth GSM alarm application and device control applications aktuaktor, and aktuaktor buzzer, dc motors, lights, fans and fan dc exhausting. Among these sensors is a PIR sensor to detect theft, sensor MQ6 to detect leakage of LPG gas and smoke from fires, sensor HC-SR04 ultrasonic for automatic garage doors, fire sensors to detect a fire, the sensor LM35 to detect the temperature of the room, when the room temperature is hot the fan will be on automatically, when the cold room temperature will shut off the fan and LDR sensor to detect the intensity of light during the day which turn the lights off automatically and vice versa, thus saving energy. Homeowners can also control lights and monitoring sensors with android phones that are connected with communication via Bluetooth HC-05 microcontroller arduino, and can receive GSM alarm application sensors such as calling and sms. Test results are used UART communication data transmission between the microcontroller serial monitor monitor has an error of 0 % . HC - 05 Bluetooth can accept orders at the farthest distance of 11 meters . The fire sensor can work well when the fire was 110 cm . Sensor HC - SR04 is already working with an error rate of 0.3 %, so the accuracy of this tool by 100 % - 0.3 % = 99.7 % .Keywords : Security Door , Bluetooth HC - 05 , Microcontroller Arduino and Android , Application Control and Application GSM alarm.

PENGENDALI LOGIKA FUZZY SUHU HIPERTERMIA BERBASIS VISUAL BASIC DAN AKUISISI BERBASIS USB Andi Kurniawan Nugroho
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2010): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 1 2010
Publisher : Prosiding SNST Fakultas Teknik

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

Therapy using heat (Hyperthermia) have drawn attention and have been done in so many form. The controlling of Hyperthermia temperature determines the therapy efficiency with the thermal effect. This matter is needed so that the obtained result of optimal therapy without generating loss off destruction of healthy cell.PID Controller which is used in conducting temperature felt still have an inconvenieal overshoot and also oscillation. Something else that becoming constraint is very complicated mathematical model. The aim of this research is to prove that by using fuzzy logic will minimize the overshoot value so that the result is accurate in determination of temperature set point (43oC). The steps of these research are : doing the sensor compensation, measuring the output voltage of sensor amplifier, determining the regression coefficients value to find the linear regression equation, determining the deviation standard into Visual Basic 6 program, to interface between the computer and the USB 1208LS through Instacal program, classifying the control of Fuzzy Logic. The conclusions of this research are : the more the number of iteration (temperature increasing), the smaller error, d_error and d_temperature value can get. The using of fuzzy rule and the boundaries of membership value, which not accurate can affect the stability and the system response speed. The life and dead time of the magnetron are determined by the duty cycle that will be put into the graph of membership function, delta_temperature (u). The higher value of the duty cycle, the longer life time that compared to the dead time. Keywords : temperature, hyperthermia, fuzzy logic, USB, duty cycle.

PENGENDALI LOGIKA FUZZY SUHU HIPERTERMIA BERBASIS VISUAL BASIC DAN AKUISISI BERBASIS USB Andi Kurniawan Nugroho
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2010): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 1 2010
Publisher : Prosiding SNST Fakultas Teknik

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

Therapy using heat (Hyperthermia) have drawn attention and have been done in so many form. The controlling of Hyperthermia temperature determines the therapy efficiency with the thermal effect. This matter is needed so that the obtained result of optimal therapy without generating loss off destruction of healthy cell.PID Controller which is used in conducting temperature felt still have an inconvenieal overshoot and also oscillation. Something else that becoming constraint is very complicated mathematical model. The aim of this research is to prove that by using fuzzy logic will minimize the overshoot value so that the result is accurate in determination of temperature set point (43oC). The steps of these research are : doing the sensor compensation, measuring the output voltage of sensor amplifier, determining the regression coefficients value to find the linear regression equation, determining the deviation standard into Visual Basic 6 program, to interface between the computer and the USB 1208LS through Instacal program, classifying the control of Fuzzy Logic. The conclusions of this research are : the more the number of iteration (temperature increasing), the smaller error, d_error and d_temperature value can get. The using of fuzzy rule and the boundaries of membership value, which not accurate can affect the stability and the system response speed. The life and dead time of the magnetron are determined by the duty cycle that will be put into the graph of membership function, delta_temperature (u). The higher value of the duty cycle, the longer life time that compared to the dead time. Keywords : temperature, hyperthermia, fuzzy logic, USB, duty cycle.

Otomatisasi Sistem Bagasi Terminal Internasional Di Bandar Udara Jenderal Ahmad Yani Semarang Muliandhi, Puri; Nugroho, Andi Kurniawan; Aji Jr., Edwin Bayu
Techné : Jurnal Ilmiah Elektroteknika Vol. 22 No. 2 (2023)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v22i2.380

The increasing number of flights proves that the public believes air transportation is one of the most desirable. Of course, the operation of the claim baggage conveyor will increase along with the number of existing passenger luggage. For this reason, the operation of the baggage claim conveyor needs to be done with the help of technology. This research was conducted to assist the work of airline porters, including time and energy efficiency through technology. This tool uses the Arduino Uno microcontroller as the program processing centre. This system will work when the Infrared sensor detects baggage after an x-ray, so the conveyor will be activated automatically. After the conveyor runs, another Infrared sensor will see the baggage on the conveyor. The conveyor will stop automatically when the Infrared sensor does not detect any baggage for a particular time. This tool is equipped with a Push Button so that the baggage claim conveyor can be operated manually and an LCD to explain the instrument's condition and the amount of baggage available. The amount of luggage can be monitored periodically via a smartphone using the ESP8266 WiFi module.

Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen Angkoso, Cucun Very; Asror, Khozainul; Kusumaningsih, Ari; Nugroho, Andi Kurniawan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025129317

Di era digital, aplikasi Financial Technology (Fintech) telah menjadi bagian penting dalam kehidupan sehari-hari masyarakat. Kemudahan dan efisiensi yang ditawarkan oleh aplikasi Fintech menarik jutaan pengguna, yang aktif memberikan umpan balik dan ulasan di platform seperti Google Play Store. Ulasan ini menjadi sumber informasi berharga bagi pengembang untuk memahami persepsi pengguna, mengidentifikasi masalah, dan meningkatkan kualitas layanan. Penelitian ini bertujuan mengevaluasi efektivitas algoritma Particle Swarm Optimization (PSO) dalam meningkatkan akurasi analisis sentimen pada algoritma Support Vector Machine (SVM) dengan kernel Radial Basis Function (RBF). Data ulasan dikumpulkan melalui web scraping dari komentar di Google Play untuk tiga aplikasi Fintech, yaitu Flip, Neobank, dan Bank Jago. Tahapan pemrosesan meliputi pelabelan, preprocessing untuk membersihkan data, dan pembobotan kata menggunakan metode TF-IDF (Term Frequency-Inverse Document Frequency). Teknik Random Oversampling diterapkan untuk mengatasi ketidakseimbangan kelas dalam dataset. Hasil penelitian menunjukkan bahwa optimasi parameter dengan PSO mampu meningkatkan kinerja analisis sentimen, dengan peningkatan rata-rata sebesar 11,33% untuk setiap aplikasi. PSO juga meningkatkan akurasi model dalam menghadapi tantangan data tidak seimbang, memberikan wawasan yang lebih dalam bagi pengembang aplikasi untuk meningkatkan layanan. Abstract Financial technology (Fintech) applications have become part of people's daily lives in the digital era. The convenience and efficiency offered by Fintech applications have attracted millions of users, who actively provide feedback and reviews on platforms such as the Google Play Store. These reviews are an important source of information for application developers to understand user perceptions, identify problems, and improve service quality. The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. We conducted web scraping to collect user review data from Google Play for three FinTech applications: Flip, Neobank, and Bank Jago as research objects. Following data collection, the review data underwent preprocessing steps, such as word weighting using the TF-IDF (Term Frequency-Inverse Document Frequency), labeling, and preprocessing to clean the data. Random Oversampling resolved the dataset's class imbalance, making all classes representative in the study. The results of this study indicate that parameter optimization with PSO can improve the performance of sentiment analysis on the subjects studied. Furthermore, based on the results of SVM testing using parameter optimization of the PSO algorithm, an average performance increase of 11.33% was obtained for each application that had been analyzed. The results also show that PSO improves model accuracy in sentiment analysis with imbalanced data challenges, providing deeper insights for application developers to improve services.

Peningkatan keahlian siswa SMA Negeri 4 Semarang dalam perancangan modul Internet of Things dengan Printed Circuit Board Idris, La Ode Muhamad; Nugroho, Andi Kurniawan; Heranurweni, Sri; Muliandhi, Puri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 1 (2026): February
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i1.34376

AbstrakKegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keahlian siswa SMA Negeri 4 Semarang dalam perancangan desain Printed Circuit Board (PCB) untuk modul Internet of Things (IoT). Kegiatan dilaksanakan melalui pelatihan intensif yang dipadukan dengan praktik langsung, sehingga siswa memperoleh pemahaman mengenai dasar-dasar desain PCB, pengenalan perangkat lunak desain PCB, serta tahapan penyusunan skematik dan layout PCB. Program ini tidak hanya berorientasi pada peningkatan keterampilan teknis, tetapi juga bertujuan untuk menumbuhkan minat dan motivasi siswa dalam mengeksplorasi pemanfaatan teknologi IoT, khususnya pada sektor pertanian. Hasil kegiatan menunjukkan adanya peningkatan kompetensi yang signifikan, di mana kemampuan peserta meningkat dari tingkat pemahaman awal berupa pengenalan konsep dan komponen PCB menjadi mampu merancang dan mengimplementasikan modul IoT sederhana berbasis PCB. Peningkatan kompetensi tersebut ditunjukkan oleh hasil evaluasi kemampuan peserta pada skala penilaian 1–4, yang mengalami kenaikan dari rata-rata skor awal 1,2 menjadi 3,2 setelah kegiatan pelatihan. Selain itu, kegiatan ini memberikan dampak positif dalam mempersiapkan siswa menghadapi tantangan perkembangan teknologi di era Industri 4.0. Kata kunci: mikrokontroler; printed circuit board; internet of things. Abstract This community service activity aims to improve the skills of students at SMA Negeri 4 Semarang in designing Printed Circuit Boards (PCBs) for Internet of Things (IoT) modules. The activity was conducted through intensive training combined with hands-on practice, enabling students to gain an understanding of the fundamentals of PCB design, the introduction of PCB design software, and the stages of schematic and PCB layout development. The program was not only oriented toward enhancing technical skills but also aimed to foster students’ interest and motivation in exploring the application of IoT technology, particularly in the agricultural sector. The results of the activity indicate a significant improvement in participants’ competencies, where their abilities progressed from an initial level of understanding limited to basic concepts and PCB components to the capability of independently designing and implementing simple PCB-based IoT modules. This improvement is reflected in the evaluation results using a 1–4 competency assessment scale, which showed an increase in the average score from 1.2 before the training to 3.2 after the training. Furthermore, this activity had a positive impact on preparing students to face technological challenges in the era of Industry 4.0. Keywords: microcontroller; printed circuit board; internet of things

Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net Tjahyaningtijas, Hapsari Peni Agustin; Nugroho, Andi Kurniawan; Angkoso, Cucun Very; Purnama, I Ketut Edy; Purnomo, Mauridhi Hery
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.505

Glioblastoma is listed as a malignant brain tumor. Due to its heterogeneous composition in one area of the tumor, the area of tumor is difficult to segment from healthy tissue. On the other side, the segmentation of brain tumor MRI imaging is also erroneous and takes time because of the large MRI image data. An automated segmentation approach based on fully convolutional architecture was developed to overcome the problem. One of fully convolutional network that used is U-Net framework. U-Net architecture is evaluated base on the number of epochs and drop-out values to achieve the most suitable architecture for the automatic segmentation of glioblastoma brain tumors. Through experimental findings, the most fitting architectural model is mU-Net architecture with an epoch number of 90 and a drop out layer value of 0.5. The results of the segmentation performance are shown by a dice value of 0.909 which is greater than that of the previous research.

Stem Cell Therapy for Chronic Fatigue Syndrome: A Promising Approach Deby Susanti Pada Vinski Pada Vinski; Svetlana Trofimova; Jaime Rodriguez Quintosa; Andi Kurniawan Nugroho; CA Schroeter; Stevan Jovanovic
Journal of World Science Vol. 3 No. 11 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i11.1231

Chronic Fatigue Syndrome (CFS), or Myalgic Encephalomyelitis (ME), is a debilitating condition marked by persistent fatigue, cognitive dysfunction, and chronic pain, severely affecting quality of life. This study explores the potential of mesenchymal stem cell (MSC) therapy as an innovative treatment for CFS. Using a qualitative descriptive design and case studies, data were gathered through interviews, medical record reviews, and observations of patients undergoing MSC therapy. The findings revealed significant improvements in fatigue, cognitive function, and physical well-being, with participants reporting better memory, concentration, reduced pain, and improved daily functioning. While some sleep disturbances persisted, their severity was reduced. These results highlight the potential of MSC therapy to alleviate CFS symptoms and enhance quality of life. Despite its promise, challenges such as high costs, regulatory hurdles, and the need for standardized protocols persist. Further research is required to confirm long-term efficacy and safety, contributing to the growing evidence for regenerative medicine in treating chronic conditions like CFS.

The Role of Mesenchymal Stem Cells in Stroke Recovery: A Regenerative Medicine Approach with Medical Rehabilitation Deby Susanti Pada Vinski; Bruna Sinjari; Endang Ernandini; Natasha Cinta Vinski; Andi Kurniawan Nugroho
Journal of World Science Vol. 4 No. 4 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i4.1404

This study examines the role of mesenchymal stem cells (MSCs) in stroke recovery, exploring their regenerative properties and potential to enhance rehabilitation outcomes. Stroke remains a leading cause of long-term disability, with limited treatment options for functional recovery. This research investigates how MSC therapy, combined with conventional rehabilitation methods, can improve motor and cognitive function in stroke patients. Using case studies and patient care records, the study analyzes the effectiveness of MSC therapy in promoting neural repair, reducing disability levels, and improving overall quality of life. The findings suggest that MSC therapy significantly enhances functional recovery when integrated with rehabilitation, particularly when cerebrospinal fluid treatment is used before MSC administration. Imaging and biomarker analyses support these results, showing improvements in neurogenesis, synaptic plasticity, and reduced neuroinflammation. This research highlights the synergistic effects of MSC therapy and rehabilitation, presenting a promising approach to stroke recovery. The study also emphasizes the need for further research to optimize MSC-based treatments, refine delivery methods, and evaluate long-term safety and effectiveness. The implications of this study contribute to the development of integrated therapeutic strategies for stroke patients, offering a more holistic approach to recovery.

Advancements In Stem Cell Therapy For Pulmonary Fibrosis: A Comprehensive Review With Vinski Protocol Deby Susanti Pada Vinski Vinski; Jaime Rodriguez Quintosa; Andi Ibnu Hajar; Natasha Cinta Vinski; Andi Kurniawan Nugroho
Journal of World Science Vol. 4 No. 9 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i9.1503

Pulmonary fibrosis (PF) is a progressive interstitial lung disease characterized by scarring of lung tissue and limited treatment options, resulting in high morbidity and poor prognosis. Mesenchymal stem cell (MSC) therapy has emerged as a promising regenerative intervention due to its potential for immunomodulation, epithelial repair, and anti-fibrotic effects. This review synthesizes current clinical and observational studies involving human participants, highlighting the safety and preliminary therapeutic benefits of MSCs in managing PF and related pulmonary conditions. Several clinical trials involving patients with idiopathic pulmonary fibrosis and COVID-19-associated lung injury demonstrated favorable safety profiles and trends toward improved pulmonary outcomes. Additionally, observational findings from the application of the Vinski Protocol at Celltech Stem Cell Centre provide further support for the regenerative capabilities of MSCs. While current human studies are encouraging, further large-scale and long-term clinical trials are essential to validate the efficacy of MSC therapy and establish standardized treatment protocols for PF.

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