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Perbaikan Alat Rekam Jantung (Elektrokardiograf/Ekg) Di RSUD Dr. Soewondo Kendal Pramesti Kusumaningtyas; Imam Tri Harsoyo; Ridwan Zulpan Asari; Sovia Ranty
Abdi Teknoyasa Volume 4, No.1, Juli 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/abditeknoyasa.v4i1.1908

Abstract

Ketersediaan peralatan barang medis merupakan variabel dominan dalam mempengaruhi kepuasan pelanggan terhadap kualitas/mutu pelayanan di rumah sakit, sehingga kondisi dan fungsi peralatan medis harus dikontrol dengan baik. Kegiatan ini bertujuan untuk mendukung mempertahankan kualitas pelayanan kesehatan di RSUD Dr. Soewondo Kendal melalui perbaikan alat elektromedik yang rusak. Di RSUD Dr. Soewondo Kendal terdapat 2 unit alat rekam jantung atau Elektrokardiograf (EKG) yang tidak berfungsi dengan baik, yaitu EKG Merk Fukuda CardiMax FX-7102 dan EKG Merk BTL 08 MT Plus. Kerusakan alat diketahui dengan metode wawancara dengan user, pengamatan secara visual, uji fungsi dengan phantom dan pengukuran pada titik pengukuran tertentu pada rangakaian elektrik alat tersebut. Berdasarkan analisa yang dilakukan, kerusakan terjadi pada rangkaian multiplexer pada EKG Merk BTL dan rangkaian elektrik keypad on/off pada EKG Merk Fukuda. Setelah dilakukan langkah perbaikan dan uji fungsi menggunakan phantom maka EKG dapat bekerja secara normal, namun kalibrasi alat harus tetap dilakukan untuk memastikan kelaikan EKG. Hasil dari kegiatan ini menunjukan adanya peningkatan usia pakai peralatan EKG untuk menunjang pelayanan kesehatan di RSUD Dr. Soewondo Kendal.
Penerapan Sistem Bank Soal dengan Metode Ishihara Berbasis IoT Pada Alat Tes Buta Warna Windanita Tada Bale; Imam Tri Harsoyo
Jurnal Teori dan Aplikasi Fisika Vol. 13 No. 01 (2025): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v13i01.473

Abstract

Color blindness is a general term for a condition or condition in which the quality of color vision is impaired. People with color blindness have difficulty distinguishing certain shades of color. Color blindness is also called Color Vision Deficiency (CVD) taking into account the prevalence of color blindness in Indonesia of 0.7% which is a cause of disability. Therefore, it is necessary to develop an Internet of Things (IoT) based color blindness test tool with the application of a question bank system using the Ishihara method which can help users check for color perception disorders which can be implemented by checking color blindness early on. In designing this IoT-based color blindness test tool, measurements were taken on 30 respondents to check the accuracy of the tool that has been designed. This color blindness test tool has an accuracy of 97%. This color blindness test tool functions to help users more easily carry out color blindness tests because it has an IoT base using the NodeMCU ESP32 microcontroller. This tool allows users to not be able to memorize questions like in the color blind test which uses a manual Ishihara book, because the question bank system in this tool involves randomizing the questions and the results can later be accessed via a web server.   Keywords: Color Blind, NodeMCU ESP32, Web Server
Komparasi Phantom Berbasis Agar dan Minyak dalam Pengujian Vertical Distance dan Horizontal Distance pada Perangkat USG Pramesti Kusumaningtyas Kusumaningtyas; Imam Tri Harsoyo; Mohamad Sofie; Iqbal Dwiky Septyawan
Jurnal Teori dan Aplikasi Fisika Vol. 14 No. 01 (2026): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v14i01.542

Abstract

Ultrasound phantom is an important tool in simulation, training, and calibration of ultrasound devices. This study aims to compare the performance of agar and oil-based ultrasound phantoms using vertical distance and horizontal distance parameters. Both types of phantoms are made by embedding test objects in the form of nylon ropes in their respective media. Evaluation is carried out by measuring the vertical and horizontal distances displayed on the ultrasound image, then compared with the actual distance. The results show that the oil phantom produces measurement deviations that are still within acceptable tolerance limits. The oil-based phantom shows more stable and accurate results. Thus, the oil-based phantom is considered superior and more recommended for use in simulation and testing of ultrasound devices.   Keywords: USG phantom, vertical distance, horizontal distance, agar-based phantom, oil-based phantom.
12-Lead Electrocardiograph Calibrator Mahmud Ma'rufi; Imam Tri Harsoyo; Florentinus Budi Setiawan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4726

Abstract

The research develops and evaluates a 12-lead Electrocardiograph (ECG) calibrator using ESP32 microcontroller technology to enhance calibration precision in clinical environments. Healthcare facilities need accurate ECG signal recording through portable calibration devices that maintain ≤ 5% error tolerance. Previous calibrator designs lack unified integration of complete 12-lead functionality, extensive BPM ranges, and variable amplitude control within single portable units. The methodology incorporates hardware-software development, voltage measurements across three assessment points (charger module, ESP32 output, Nextion LCD), BPM validation at four operational settings, and waveform analysis (normal, square) with amplitude evaluation across multiple sensitivities. Experimental results demonstrate an average total error of 1.2% for BPM and amplitude measurements, maintaining voltage stability within ± 5% tolerance limits. Performance analysis validates device reliability for ECG calibration applications, showing optimal performance with square waveform configurations. The ESP32-based calibrator proves technically viable and clinically safe, providing cost-effective, high-precision alternatives to existing solutions. Future development opportunities include triangular waveform integration, Wi-Fi connectivity for remote operation, and rapid calibration initiation features.
Rancang Bangun Alat Buta Warna Dengan Desain Ishihara Digital Menggunakan LCD Nextion Yolanta Nastasia Nou Dopo; Imam Tri Harsoyo
SemanTIK : Teknik Informasi Vol. 10 No. 2 (2024): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i2.86

Abstract

Pada umumnya manusia memiliki lima panca indra yang di mana salah satunya adalah mata. Bagi manusia amata meruapakan bagian yang sangat penting dalam menjalani kehidupan sehari-hari. Ketika mata mengalami gangguan dalam membedakan warna maka itu merupakan salah satu penyakit yang menyerang mata dan dapat berakibat fatal. Penyakit ini biasanya disebut buta warna yang mana orang yang mengalami buta warna sulit dalam membedakan warna. buta warna dibagi menjadi 2 yaitu buat warna persial dan buta warna total. Rancang bangun alat tes buta warna dengan desain ishihara digital dengan menggunakan metode terapan bertujuan untuk membuat alat tes buta warna yang dilengkapi dengan tampilan nextion sebagai penampil soal tes ishihara yang pengaturan sistem kerja alat ini berbasis Internet of Things yang hasilnya akan ditampilkan pada nextion, kemudian di-print menggunakan thermal printer dan ditampilkan pada spreadsheet yang sebelumnya sudah diberikan identitas pengguna. Pada proses uji coba alat dilakukan secara langsung kepada responden untuk mendapatkan hasil yang alami. Ada 5 orang responden yang masing-masing melakukan sekali uji coba pada alat yang hasilnya 1 dari 5 orang tersebut mengalami buta warna total
Hubungan Pemakaian Gadget Terhadap Indeks Massa Tubuh (IMT) Siswa SD Maranatha 01 Kota Semarang Christina Ary Yuniarti; Imam Tri Harsoyo
Indonesian Journal of Health Community Vol 6 No 2 (2025): Volume 6 Nomor 2 Tahun 2025
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/ijheco.v6i2.4197

Abstract

The rapid development of information technology, especially in gadgets, has changed people's lifestyles. This study aims to determine the relationship between the duration of gadget use and Body Mass Index (BMI) in students at Maranatha 01 Elementary School, Semarang City. This study used a quantitative, objective approach with a sample of 42 respondents. Parameters measured included height and body mass using an automatic BMI tool. Next, questionnaires were collected, and data were analyzed using the chi-square test and linear regression. The results showed that the majority of students used gadgets for less than two hours per day and began using gadgets after the age of five. According to the analysis, there was no significant relationship between the duration of device use and students' BMI status (p=0.721), and the effect was very weak in the regression analysis (p=0.729). This suggests that time spent using devices is not the primary factor influencing children's BMI. Other factors such as diet, physical activity levels, and genetic predisposition play a greater role in determining children's nutritional status. It is hoped that this research will serve as a basis for developing more comprehensive child health policies and programs in the modern era.
Rancang Bangun Alat Monitoring Volume dan Kontrol Tetesan Infus Berbasis Internet Of Things (IoT) Muhamad Arifin Ilham; Imam Tri Harsoyo; Patrisius Kusi Olla; Ilham Maulana
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.30230

Abstract

Abstract:  The administration of IV fluids is one of the common medical procedures carried out in hospitals. However, manual monitoring of infusion volume and droplets can be less efficient and potentially lead to errors. Therefore, this study aims to design and build an IoT-based infusion drip volume monitoring and control tool. It uses a loadcell sensor to accurately measure the volume of the infusion fluid, the HX711 as a signal amplifier from the loadcell sensor, and an optocoupler sensor to calculate the number of infusion droplets. Data from these sensors is then sent to the IoT platform to be monitored in real-time via mobile devices or computers. The test results show that the device is capable of monitoring the volume and drippings of the infusion with high accuracy and provides notifications in the event of critical conditions, such as low volume of infusion fluid or abnormal infusion droplets. Thus, this tool is expected to increase efficiency and safety in the administration of IV fluids in hospitals.Abstrak: Pemberian cairan infus merupakan salah satu tindakan medis yang umum dilakukan di rumah sakit. Namun, pemantauan volume dan tetesan infus secara manual dapat menjadi kurang efisien dan berpotensi menimbulkan kesalahan. Oleh karena itu, penelitian ini bertujuan untuk merancang dan membangun alat monitoring volume dan kontrol tetesan infus berbasis IoT. Alat ini menggunakan sensor loadcell untuk mengukur volume cairan infus secara akurat, HX711 sebagai penguat sinyal dari sensor loadcell, dan sensor optocoupler untuk menghitung jumlah tetesan infus. Data dari sensor-sensor tersebut kemudian dikirimkan ke platform IoT untuk dipantau secara real-time melalui perangkat seluler atau komputer. Hasil pengujian menunjukkan bahwa alat ini mampu memonitor volume dan tetesan infus dengan akurasi yang tinggi dan memberikan notifikasi jika terjadi kondisi kritis, seperti volume cairan infus yang hampir habis atau tetesan infus yang tidak normal. Dengan demikian, alat ini diharapkan dapat meningkatkan efisiensi dan keamanan dalam pemberian cairan infus di rumah sakit.                 
Rancang Bangun Urine Analyzer Pendeteksi Dini Indikasi Penyakit Diabetes Melitus Edo Daryono; Imam Tri Harsoyo; Bayu Wahyudi
Justek : Jurnal Sains dan Teknologi Vol 8, No 1 (2025): Maret
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i1.29639

Abstract

Abstract:  This research aims to design and develop a microcontroller- based Urine Analyzer capable of early detection of diabetes mellitus indications through Urine color analysis. The device utilizes a TCS3200 color sensor to process RGB light intensity and identify glucose levels in Urine. Testing was conducted on four Urine samples, with five tests per sample, resulting in a total of 20 trials. The device achieved an accuracy rate of 90%, with 18 results matching the readings of a commercial analyzer. The two errors detected were attributed to variations in light intensity and the quality of test strips. This device demonstrates reliable detection capabilities and has the potential to become a portable and cost- effective solution for early diabetes mellitus detection. Further development, such as improving sensor stability and algorithm accuracy, is expected to enhance the overall performance of the device.Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan alat Urine Analyzer berbasis mikrokontroler yang mampu mendeteksi dini indikasi penyakit diabetes melitus melalui analisis warna Urine. Perangkat ini menggunakan sensor warna TCS3200 yang memproses intensitas cahaya RGB untuk mengidentifikasi kadar gula dalam Urine. Uji coba dilakukan pada empat sampel Urine dengan masing-masing lima pengujian, menghasilkan total 20 percobaan. Tingkat akurasi alat mencapai 90%, di mana 18 hasil sesuai dengan pembacaan alat pabrikan. Dua kesalahan yang ditemukan disebabkan oleh variasi intensitas cahaya dan kualitas strip uji. Alat ini menunjukkan kemampuan deteksi yang andal dan berpotensi menjadi solusi portabel dan hemat biaya untuk mendukung deteksi dini diabetes melitus. Pengembangan lebih lanjut, seperti peningkatan stabilitas sensor dan akurasi algoritma, diharapkan dapat meningkatkan kinerja alat secara keseluruhan.
RANCANG BANGUN ALAT SMART BIN AI RUANG TUNGGU PASIEN DI RUMAH SAKIT Rafi Budhi Rahmadani; Imam Tri Harsoyo; Patrisius Kusi Olla
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.31593

Abstract

Abstract:  Hospital cleanliness is very important in creating a healthy and comfortable hospital environment. Therefore, proper waste management is needed. Waste that is not managed properly can cause environmental pollution and health problems. To overcome these problems, a smart trash bin system is needed that can detect and sort waste automatically. In this final project, a Smart Bin AI tool based on Arduino Uno is designed and built, equipped with a HuskyLens sensor, servo motor, and artificial intelligence (AI) system for waste type classification. The HuskyLens sensor is used to detect the presence of objects according to their type and classification, while the servo motor functions as a trash can lid driver. The integrated AI system helps classify waste types into organic, inorganic and B3 based on visual images. The test results show that this tool can operate automatically and provide a fast and accurate response in waste classification with a success rate of 90%. With this system, the waste disposal process becomes more efficient, hygienic, and supports efforts to maintain environmental cleanliness in hospitals.Abstrak: Kebersihan di rumah sakit merupakan suatu hal yang sangat penting dalam menciptakan lingkungan rumah sakit yang sehat dan nyaman . oleh karena itu diperlukan pengelolaan sampah yang baik dan benar. Sampah yang tidak terkelola dengan baik dapat menyebabkan pencemaran lingkungan dan masalah kesehatan. Untuk mengatasi permasalahan tersebut, dibutuhkan sistem tempat sampah pintar (Smart Bin) yang mampu mendeteksi dan memilah sampah secara otomatis. Pada tugas akhir ini, dirancang dan dibangun sebuah alat Smart Bin AI berbasis Arduino Uno yang dilengkapi dengan sensor HuskyLens, servo motor, dan sistem kecerdasan buatan (AI) untuk klasifikasi jenis sampah. Sensor HuskyLens digunakan untuk mendeteksi keberadaan objek sesuai jenis dan klasifikasinya, sedangkan servo motor berfungsi sebagai penggerak tutup tempat sampah. Sistem AI yang terintegrasi membantu mengklasifikasikan jenis sampah menjadi organik, anorganik dan B3 berdasarkan citra visual. Hasil pengujian menunjukkan bahwa alat ini dapat beroperasi secara otomatis dan memberikan respons yang cepat serta akurat dalam pengklasifikasian sampah dengan nilai persentase keberhasilan sebesar 90%. Dengan adanya sistem ini, proses pembuangan sampah menjadi lebih efisien, higienis, dan mendukung upaya dalam menjaga kebersihan lingkungan di rumah sakit.                 
Rancang Bangun Alat Pengukur Tinggi dan Berat Badan Secara Wireless Untuk Menentukan Status Gizi Nadif Adhi Wibowo; Imam Tri Harsoyo; Pramesti Kusumaningtyas; Christina Ary Yuniarti; Muhammad Rofii
Justek : Jurnal Sains dan Teknologi Vol 8, No 3 (2025): September
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i3.32011

Abstract

Nutritional status is a key indicator in assessing individual health that can be determined through anthropometric measurements, particularly height and weight. This study uses a design approach that aims to design and implement a wireless system for measuring nutritional status based on Body Mass Index (BMI) using a TOF400C sensor and a Load Cell controlled by an ESP32 microcontroller. The TOF400C sensor measures height based on the Time-of-Flight principle of infrared light, while the Load Cell measures weight with the HX711 module. Data from both sensors is processed by the ESP32 to calculate BMI and categorize nutritional status according to WHO standards. Test results on 10 adult subjects showed an accuracy of 99.6% for the height measuring device and 98.3% for the weight measuring device compared to standard devices, as well as real-time results displayed on OLED and TFT screens. This system is expected to be a practical and efficient solution for digital nutritional status monitoring.