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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer EMITTER International Journal of Engineering Technology Techne : Jurnal Ilmiah Elektroteknika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Pengembangan Rekayasa dan Teknologi Elektrika
Andi Kurniawan Nugroho
Jurusan Teknik Elektro Fakultas Teknik Universitas Semarang
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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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

Abstract

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

Abstract

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.
INSTALASI SOLAR HOME SISTEM PEMBANGKIT LISTRIK TENAGA SURYA SEBAGAI SUMBER ENERGI ALTERNATIF di SD IT MTA SURAKARTA Nurhayati, Titik; Supari, Supari; Nugroho, Andi Kurniawan
Jurnal Pengembangan Rekayasa dan Teknologi Vol. 6 No. 1 (2022): Mei (2022)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jprt.v18i1.4935

Abstract

Setiap rumah diharapkan mampu membangkitkan energi alternatif yang dapat dapat digunakan untuk melayani beban sehari-hari. Salah satu cara yang dapat diterapkan adalah setiap rumah memasang Solar Home System (SHS). Instalasi dan perancangan SHS perlu dikenalkan kepada masyarakat umum salahsatunya guru agar memiliki pengetahuan tentang Pembangkit Listrik Tenaga Surya  (PLTS). Masyarakat perlu diberi pelatihan bagaimana cara merancang dan menginstalasi SHS di rumah masing-masing. Pelatihan ini akan diberikan kepada Guru SDIT MTA Semanggi sesuai permintaan dari kepala sekolah.Permasalahan yang dihadapi mitra adalah kurangnya pengetahuan Masyarakat terutama Guru SDIT MTA Semanggi tentang (1) Bagaimana proses konversi energi dari energi matahari menjadi energi listrik, (2) Bagaimana energi matahari tersebut bisa dimanfaatkan untuk rumah tangga atau SHS, (3)Bagaimana cara merakit atau menginstal peralatan supaya terbentuk SHS. Solusi yang ditawarkan untuk menyelesaikan permasalahan mitra adalah memberikan pelatihan kepada Guru SDIT MTA Semanggi tentang bagaimana melakukan instalasi SHS PLTS sebagai sumber energi alternatif skala rumah tangga. Pelatihan dilaksanakan dengan waktu selama 3 jam pada Hari Selasa, 12 Oktober 2021Pelatihan diikuti oleh 13 Guru SDIT MTA Semanggi.  Hasil pelaksanaan pengabdian terlihat dari hasil pre test dan post test.  Hasil pretest menunjukkan bahwa dari 13 SDIT MTA Semanggi yang diberikan tidak ada yang mendapatkan nilai 100. Setelah dilakukan pelatihan, rata-rata menjawab benar sebanyak 10 Guru. Hal ini menunjukkan bahwa pemahaman Guru mengalami peningkatan sebanyak 90%, sehingga dapat diartikan setelah dilakukan pelatihan banyak Guru yang paham tentang SHS PLTS.              K
PENGATURAN SUHU UNTUK MENGATASI BAYI TERBAKAR BERBASIS ARDUINO DAN LABVIEW PADA INFANT INCUBATOR Ramdani, Dicky Rivaldo; Nugroho, Andi Kurniawan; Destyningtias, Budiani
Elektrika Vol. 11 No. 1 (2019): April 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.546 KB) | DOI: 10.26623/elektrika.v11i1.1540

Abstract

An incubator is a place designed to maintain a certain temperature condition. Incubators are often found in hospitals and farms. In hospitals, the Incubator functions to warm newborns, or premature babies. On farms, this incubator is usually used for egg hatchers and as a place for newly hatched chicks. Incubators are usually in the form of a room or box (box) of a certain size. In this research will be designed a prototype to modify the infant incubator by adding sensors to regulate the temperature and control using a Arduino microcontroller. This incubator has a measurement system and temperature regulation using LM35 sensors, heaters and fans as actuators that can cool the incubator room with Arduino as controlling. Temperature setting will be monitored by LABVIEW. In the Arduino system a program can be set up that can adjust the temperature . The temperature required by the premature baby, so that it can maintain the stability of the temperature. If the temperature in the incubator is smaller than the temperature setting, the heater will turn on and the fan speed will decrease to increase the temperature according to the settings entered. If the temperature in the incubator is greater than the temperature setting entered, the heater will turn off. The results showed that the linear regression value between the temperature values with the ADC value of y = 0.4883x with a determination coefficient of 1, while the linear regression value between the temperature with a voltage value of y = 99.481x with a coefficient of 0.9984.Keywords: Infant Incubator, temperature sensor, LM35.
RANCANG BANGUN TACHOMETER DIGITAL BERBASIS ARDUINO DILENGKAPI CHARGING DAN MODE PENYIMPAN DATA Harsoyo, Imam Tri; Nugroho, Andi Kurniawan; Nuriman, Nuriman
Elektrika Vol. 11 No. 2 (2019): Oktober 2019
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.74 KB) | DOI: 10.26623/elektrika.v11i2.1692

Abstract

A good and feasible centrifuge is needed in the world of health, therefore a digital tachometer is needed to calibrate a centrifuge. Digital tachometer is a measuring instrument used to measure the rotation speed of a motor. This tachometer will be tested to function by being compared to using Digital Laser Photo Tachometer. This tachometer will display the number of rotations per minute of a motor according to the speed setting on the centrifuge using the output of this E18-D80NK sensor which will later be processed by the Arduino Nano. As for this feature charger and data storage mode, so that user can save the data of measurement results on SD Card, and beside that user can also be a way of charging when after usage or before usage. At testing the tool used point settings 1000, 2000, 3000, 4000, 5000, and 12000 RPM. Based on the measurement results of centrifuge using tachometer module and comparison tachometer have average percentage of error varying at each setting point. The smallest error 0.8% at the setting Point 3000 RPM, while the largest error 4.9% at the setting point 1000 RPM. The Tacometer error value on this Centrifuge measurement is still within the tolerance limit of ± 10%
Sistem Kendali Hybrid Fuzzy-Pid pada Kinematika Robot Berkaki 4 Menggunakan Sensor Gyroscope Idris, La Ode Muhamad; Nugroho, Andi Kurniawan; Daniyah, Daniyah
Elektrika Vol. 15 No. 1 (2023): April 2023
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v15i1.3242

Abstract

Legged robots have attracted the attention of researchers because of their superior adaptation to complex environments compared to wheeled robots. Legged robots are divided into 2 (two) legged Humanoid robots, 4 (four) legged robots, 6 (six) legged robots, and other robots with more legs. Legged robots are robots that can be more adaptable to the terrain compared to wheeled robots in the case of their use in land exploration activities. Although functionally legged robots are more superior, legged robots have their own problems, namely motion control which is more complicated than wheeled robots, therefore the right method is needed to be implemented on the robot.. In this research discusses a 4 (four) legged robot designed in order to move using the inverse kinematic equation on the legs and the body of the robot which is integrated with the MPU6050 gyroscope sensor based on the Hybrid Fuzzy-PID control system. The purpose of this research is to develop a Fuzzy-PID control system that stabilizes the setpoint position in the 4 (four) legged Robot movement system. Fuzzy PID is a combination of PID control and fuzzy logic, where PID control is used to stabilize the system and fuzzy logic is used to improve the system performance. In this research, the Fuzzy-PID control system is developed using the Mamdani (Min-Max) method. The system is later tested by observing the robot's movement response to changes in the gyroscope sensor values. The results obtained were able to get an average output error up to 0.173333% during the response test to the pitch axis of -15°, but in several tests also get the response results that have a considerable error rate is up to 27.31% during the response test to the roll axis of -5°. From the test results of hybrid Fuzzy-PID control, it is obtained that the robot is able to make movements or responses to its stable point by giving reference to the x (roll), y (pitch) and z (yaw) axes where it can be analyzed that the response to the x (roll) and y (pitch) axes will affect the angle of the tibia and femur servo joints, while the response to the z (yaw) axis will affect the angle of the coxa joint servo. Keywords: IMUs (Inertial Measurement Units), Gyroscope, Inverse Kinematics, Hybrid Fuzzy-PID. ABSTRAK Robot berkaki telah menarik perhatian para peneliti karena adaptasinya unggul terhadap lingkungan yang kompleks dibanding robot beroda. Robot berkaki dibagi menjadi robot Humanoid berkaki 2(dua), robot berkaki 4(empat), robot berkaki 6(enam), dan lainnya yang berkaki lebih banyak.Robot berkaki adalah robot yang lebih adaptif terhadap medan tempuh dibandingka robot beroda dalam kasus penggunaannya pada kegiatan eksplorasi daratan. Walaupun secara fungsional robot berkaki lebih unggul, robot berkaki memiliki permasalahan sendiri, yaitu kontrol gerak yang lebih kompleks dibanding robot beroda, maka dari itu dibutuhkan metode yang tepat untuk diterapkan pada robot. Pada penelitian ini membahas tentang robot berkaki 4(empat) yang dirancang untuk dapat bergerak dengan menggunakan persamaan inverse kinematic pada kaki maupun badan robot yang diintegrasikan dengan sensor gyroscope MPU6050 berbasis sistem kendali Hybrid Fuzzy-PID.Tujuan dari penelitian ini adalah mengembangkan sistem kontrol Fuzzy-PID untuk menstabilkan posisi setpoint pada sistem pergerakan Robot berkaki 4(empat). Fuzzy PID adalah gabungan dari kontrol PID dan logika fuzzy, dimana kontrol PID digunakan untuk menstabilkan sistem dan logika fuzzy digunakan untuk memperbaiki performa sistem. Pada penelitian ini sistem kontrol Fuzzy-PID dikembangkan dengan menggunakan metode Mamdani (Min-Max). Sistem ini kemudian diuji dengan mengamati respon pergerakan robot terhadap perubahan nilai sensor gyroscope. Dimana diperoleh hasil mampu memperoleh rata-rata kesalahan hasil keluarannya sampai dengan 0.173333% pada saat pengujian respon terhadap sumbu pitch -15°, namun dibeberapa pengujian juga mendapa tkan hasil respon yang memiliki tingkat kesalahan yang cukup besar sampai dengan 27.31% pada saat pengujian respon terhadap sumbu roll -5°. Dari hasil pengujian kendali hybrid Fuzzy-PID diperoleh hasil robot mampu melakukan pergerakan atau respon untuk menuju titik stabilnya dengan pemberian acuan terhadap sumbu x(roll), y(pitch) dan z(yaw) dimana dapat dianalisa bahwa respon terhadap sumbu x(roll) dan y(pitch) akan mempengaruhi sudut servo sendi tibia dan femur, sedangkan respon terhadap sumbu z(yaw) akan mempengaruhi sudut servo sendi coxa.
Desain Telemedicine Asam Urat Berbasis Internet of Things (IoT) Supriyanto, Agus; Nugroho, Andi Kurniawan; Heranurweni, Sri
Elektrika Vol. 15 No. 1 (2023): April 2023
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v15i1.6004

Abstract

Gout is the final metabolite of purines. Purines are part of the nucleic acids found in the nuclei of body cells. Increased gout can cause rheumatic pain in the joint area and is often associated with extreme pain for those exposed to the disease. Doctors need to monitor so that they can assist patients in monitoring and treatment. Gout detection devices are only available in hospitals, clinics, health centers, laboratories, and equipment that was previously portable but could not be controlled directly by a doctor. The purpose of this study is to help make it easier for doctors to monitor patients with gout remotely or telemedicine via the internet. The research method uses blood to determine gout levels using the Internet of Things. Data acquisition is carried out with a resistance sensor (Authocheck) which is processed by the Arduino microcontroller. The processed data is then sent to the ESP8266 web server via WiFi. The use of the Internet of Things as a data transmission method for online use does not require human-to-human interaction. The sensor resistance value in the analog range obtained is 441.03 to 782.32 with a sensor voltage of 1.91 to 3.82 volts. The measured gout level is between 4 mg/dL and 8 mg/dL. The percentage of measured data with an average accuracy of 95.74% and an average error rate of 4.26% for the seven test data. Data is displayed directly on the device's LCD screen and on a web server that sends data from the ESP8266. Keywords: gout, Internet of Things, resistance sensor (Autocheck), telemedicine, web server ABSTRAKAsam urat merupakan metabolit akhir dari purin. Purin adalah bagian dari asam nukleat yang ditemukan dalam inti sel tubuh. Asam urat yang meningkat dapat menyebabkan nyeri rematik di area persendian dan sering dikaitkan dengan rasa sakit yang luar biasa bagi yang terpapar penyakit. Dokter perlu memantau agar dapat membantu pasien dalam pemantauan dan pengobatan. Alat pendeteksi asam urat hanya terdapat di rumah sakit, klinik, puskesmas, laboratorium dan alat-alat yang sebelumnya portable namun tidak dapat dikontrol langsung oleh dokter. Tujuan dari penelitian ini membantu memudahkan dokter untuk memantau pasien dengan penyakit asam urat secara jarak jauh atau telemedicine melalui internet. Metode penelitian menggunakan darah untuk menentukan kadar asam urat menggunakan Internet of Things. Akuisisi data dilakukan dengan sensor resistansi (Authocheck) yang diproses oleh mikrokontroler Arduino. Data yang telah diproses kemudian dikirim ke web server ESP8266 melalui  WiFi. Penggunaan Internet of Things sebagai metode transmisi data untuk penggunaan secara online tidak memerlukan interaksi manusia ke  manusia. Nilai  resistansi sensor pada rentang analog yang diperoleh adalah 441,03 hingga 782,32 dengan tegangan sensor 1,91 hingga 3,82 volt. Kadar asam urat yang diukur adalah antara 4 mg/dL dan 8 mg/dL. Persentase data terukur dengan akurasi rata-rata 95,74% dan rata-rata tingkat kesalahan  4,26% untuk tujuh data uji. Data ditampilkan langsung di layar LCD perangkat dan di web server yang mengirimkan data dari ESP8266.
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

Abstract

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

Abstract

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.
Co-Authors Agus Supriyanto Aji Jr., Edwin Bayu Angkoso, Cucun Very Ari Kusumaningsih Asror, Khozainul Budiani Destyningtias Daniyah, Daniyah Harsoyo, Imam Tri Idris, La Ode Muhamad Mauridhi Hery Purnomo Muliandhi, Puri Nuriman Nuriman, Nuriman Purnama, I Ketut Edy Ramdani, Dicky Rivaldo Sri Heranurweni Supari Supari, Supari Titik Nurhayati Tjahyaningtijas, Hapsari Peni Agustin