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All Journal Jurnal Ilmiah Poli Rekayasa Jurnal Imejing Diagnostik SPEKTRA: Jurnal Kajian Pendidikan Sains JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar INDONESIAN JOURNAL OF APPLIED PHYSICS CYCLOTRON Journal of Electronics, Electromedical Engineering, and Medical Informatics Indonesian Journal of electronics, electromedical engineering, and medical informatics Science Midwifery Jurnal Health Sains Proceedings Series on Health & Medical Sciences Teknika Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Kusnanto Mukti Wibowo
Universitas Muhammadiyah Purwokerto
Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Veterinary Other

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Difference in Image Information Between DWI Sequence and DWI Blade for Optimization of Axial Brain Bintang Kukuh Iman Setyabudi; Hernastiti Sedya Utami; Fani Susanto; Kusnanto Mukti Wibowo
Proceedings Series on Health & Medical Sciences Vol. 5 (2024): Proceedings of the 4th International Nursing and Health Sciences Universitas Muhammad
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pshms.v5i.976

Abstract

Background: Diffusion Weighted Image (DWI) sequence that utilizes the movement of molecules due to random thermal motion. The aim of this research is to determine the difference in image information between DWI sequence and DWI BLADE on axial brain MRI images for optimization and to find the most optimal sequence between DWI and DWI BLADE on axial brain MRI images. Method: This study used a quantitative experimental research that aims to determine image information and optimize brain MRI examinations between DWI sequence and DWI BLADE using the MRI Siemens Magnetom Amira 1.5 T at Dr. Oen Kandang Sapi Hospital Solo in May-June 2023. The sample consisted of 11 MRI assessments through visual grading analysis to provide interpretations related to image clarity information, thus obtaining the optimal use of DWI and DWI Blade sequences. Results: Based on the research and discussion results, it can be concluded that there is a difference in anatomical image information between DWI sequence with BLADE and without BLADE on axial brain MRI examinations, with a significance value of 0.00 (p<0.05), indicating a difference in anatomical image information in the cortex cerebri, thalamus, cerebellum, basal ganglia, and a significance value of 1.000 (p<0.05) for artifact information, indicating no difference in artifact image information between DWI sequences with BLADE and without BLADE. Conclusion: DWI BLADE sequence provides better anatomical image information compared to DWI sequence without BLADE in axial brain MRI examinations.
DETECTION TOOL FOR BORAX PRESERVATIVE IN FOOD Fatiatun, Fatiatun; Rahayu, Gusrina; Khumaeroh, Nadia; Wibowo, Kusnanto Mukti
JURNAL SPEKTRA Vol 10, No 1 (2024): SPEKTRA: Jurnal Kajian Pendidikan Sains
Publisher : Program Studi Pendidikan Fisika, FITK, UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/spektra.v10i1.469

Abstract

Currently, the use of prohibited food additives is still often found, and is even increasing, especially among food entrepreneurs, which are generally produced by small industries or households. One type of food preservation that is currently widely used is borax and formalin. The aim to be achieved in this research is to determine the characteristics of the tool for detecting preservatives (borax) in food and to determine the presence/absence of preservatives (borax) in meatball food. The method used in this research is experiment. The results obtained in this research can conclude that there is still use of borax in meatball type food although it is not yet known whether the seller actually uses borax on purpose or the flour used contains borax without the seller knowing it and the borax content itself greatly influences the results of the Frequency value.
Analysis of Differences in Image Quality and Anatomical Information of Head CT Scan Examination in Non-Hemorrhagic Stroke Cases Using Sinogram Affirmed Iterative Reconstruction (SAFIRE) Samudra, Alan; Fitriana, Lutfatul; Hidayat, Fathur Rachman; Wibowo, Kusnanto Mukti; Ariesma Githa Giovany; Caesarendra, Wahyu
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.629

Abstract

SAFIRE should be utilized to its full potential, as this innovative image reconstruction algorithm can significantly reduce image noise without loss of sharpness, preserving image quality and anatomical information. This is particularly important in the case of non-hemorrhagic stroke, where image noise can obscure small lesions, potentially leading to misdiagnosis and inappropriate treatment. SAFIRE has five variations of strength, making it essential to identify the most optimal SAFIRE Strength for head CT Scan examinations in non-hemorrhagic stroke cases. The aim of this study is to determine differences in image quality and anatomical information in head CT Scan of non-hemorrhagic stroke cases using SAFIRE variations to identify the most optimal SAFIRE Strength. This experimental quantitative study involved a sample of 30 patients, with each case reconstructed using five SAFIRE Strength variations. Image quality was assessed using the IndoQCT application, while anatomical information was evaluated through the visual grading analysis method by three radiologists. Image quality data were analyzed using the Friedman statistical test, which resulted in a p-value of 0.000 (p < 0.05), indicating significant differences among the SAFIRE Strength variations. Similarly, anatomical information data were analyzed using the Kruskal-Wallis statistical test, yielding a p-value of 0.000 (p < 0.05), confirming significant differences across the variations. The results of the study showed that there are significant differences in image quality and anatomical information among the five SAFIRE Strength variations. SAFIRE Strength 3 was identified as the most optimal for head CT Scan examinations in non-hemorrhagic stroke cases, as it produces images with minimal noise and higher detail, providing clearer anatomical information compared to the other SAFIRE Strength variations.
Analysis of axial T2 TSE images using deep learning reconstruction in MRI of brain tumors Muzdalifah, Nadifah Pratiwi; Utami, Hernastiti Sedya; Hidayat, Fathur Rachman; Wibowo, Kusnanto Mukti; Jadmika, Muhammad Riefki; Samudra, Alan
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1867

Abstract

Magnetic Resonance Imaging (MRI) Brain examinations often encounter uncooperative patients, necessitating rapid scanning techniques that yield optimal results. To address this challenge, advanced technologies such as deep learning can be leveraged to accelerate scan time, reduce noise, and enhance image precision. This study aims to evaluate the disparity in MRI Brain image quality with and without deep learning in tumor cases to achieve superior diagnostic imaging. Employing a quantitative experimental approach, this research analyzed a sample of 30 patients collected from January to February 2025. Three Radiologist Specialists assessed the images using a questionnaire based on the Visual Grading Analysis (VGA) method. The obtained responses were statistically examined through Cohen’s Kappa consistency test and Wilcoxon Signed-Rank Test. Findings revealed a statistically significant difference in image information between deep learning-assisted and conventional MRI scans. In T2 TSE sequences, deep learning reconstruction demonstrated superior anatomical visualization of the Gray Matter, White Matter, Lateral Ventricles, Basal Ganglia, and Parafalx Cerebri. However, in brain tumor pathology visualization, conventional MRI exhibited sharper and more distinct tumor delineation. Although deep learning-enhanced T2 TSE sequences reduced scan duration and improved overall image quality, they provided suboptimal diagnostic information in tumor cases.
Pemanfaatan Getah Pelepah Salak Sebagai Gel Ultrasonografi Alternatif Susanto, Fani; Wibowo, Kusnanto Mukti; Samudra, Alan; Yuswono, Puji; Utami, Hernastiti Sedya; Cayanan, Edgardo
Jurnal Imejing Diagnostik (JImeD) Vol 11, No 2 (2025): JULY 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v11i2.12551

Abstract

Background: Conventional ultrasound (USG) gel was generally based on carbomer 940, which was relatively expensive, difficult to access in some areas, and not environmentally friendly due to its non-biodegradable nature. This study aims to evaluate the potential of salacca leaf sap as an alternative material for a more affordable, easily obtainable, and environmentally friendly natural ultrasound gel.Methods: A quantitative experimental study was conducted on 30 adult patients. Each subject underwent two liver ultrasound examinations using carbomer 940 gel and gel from salacca leaf sap. Image assessment was conducted by three radiology specialists using the visual grading method on the parameters of parenchyma, portal vein, nodules, and artifacts. Data were analyzed using the Wilcoxon test and Cohen's Kappa test to measure inter-rater agreement.Results: The research results indicate that there is no statistically significant difference between the ultrasound images using factory gel and salacca leaf sap gel (p 0.05). All image parameters, such as parenchymal homogeneity, visualization of the portal vein, and minimal artifacts, appeared equivalent in both types of gel.Conclusions: Salacca leaf sap shows physical characteristics that support ultrasonic wave transmission and is capable of producing liver ultrasound images comparable to commercial gel. With local availability, low cost, and environmentally friendly properties, this material has the potential to be a viable alternative to ultrasound gel that can be further developed for clinical practice and areas with limited access.
Evaluating the Reliability of SpO₂ and BPM Readings in Commercial Smartwatches Compared to a Standard Oximeter Wibowo, Kusnanto Mukti; Royan, Royan; Latif, Abdul; Susanto, Fani; Fatiatun, Fatiatun; Irmawanto, Rudi; Che Ani, Norhidayah
Jurnal Teknokes Vol. 18 No. 2 (2025): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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

Abstract

The advancement of wearable technology has enabled commercial smartwatches to monitor vital health parameters such as blood oxygen saturation (SpO₂) and heart rate (BPM). This study aimed to evaluate the accuracy of SpO₂ and BPM readings from three commercial smartwatches: Realme C2 Pro, Oraimo 2 Plus OSW-32N, and Haylou LS02 Pro by comparing them to a standard medical-grade oximeter (Beurer PO40). A total of 34 participants were recruited, representing a range of skin tones identified using the Fitzpatrick Skin Type Scale (Types I–V). Statistical analyses, including Pearson’s correlation and Bland-Altman plots, were used to assess the relationship and agreement between devices. Results showed that the Realme C2 Pro provided the highest accuracy, with 99.58% for SpO₂ and 98.515% for BPM, while the Haylou LS02 Pro showed the lowest accuracy at 99.24% for SpO₂ and 97.29% for BPM. Bland-Altman analysis revealed small biases and narrow limits of agreement, indicating that the smartwatches produced readings closely aligned with those of the medical device. Despite minor discrepancies, all smartwatches demonstrated strong potential for health monitoring applications. The discussion highlights factors influencing measurement accuracy, including sensor quality, algorithm performance, and user-specific variables such as skin tone. These findings support the role of smartwatches as accessible tools for early health detection and continuous monitoring. Although not intended to replace clinical instruments, properly optimized smartwatches can complement healthcare systems by enabling timely interventions and enhancing disease management.
Development and Acoustic Analysis of a Speaker-Output Stethoscope for Low-Cost Clinical Applications Wibowo, Kusnanto Mukti; Latif, Abdul; Susanto, Fani; Fatiatun, Fatiatun; Che Ani, Norhidayah
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.125

Abstract

This study addresses the limitations of traditional stethoscopes, which are constrained by their single-user design, dependence on auditory acuity, and susceptibility to background noise. These limitations hinder collaborative learning and diagnostic accuracy, particularly in noisy environments or during infectious disease outbreaks. The aim of this work is to develop a low-cost, speaker-output digital stethoscope that enables multiple users to simultaneously listen to heart sounds, improving both clinical training and infection control. The main contribution of this study is the integration of a conventional analog stethoscope with a high-sensitivity microphone preamplifier, an external speaker, and digital signal processing (DSP) algorithms. This configuration allows the amplification and filtering of heart sounds, enabling group auscultation without the need for earpieces. The device casing is constructed from High-Pressure Laminate (HPL) sheets and multiplex wood panels, while acoustic foam is used to reduce noise interference.  Heart sounds are captured via a microphone, amplified, and processed using Fast Fourier Transform (FFT) and band-pass filtering (20–150 Hz) to isolate the key frequencies. The system was tested in a quiet clinical setting, and the resulting audio was analyzed for clarity and frequency spectrum. The prototype successfully captured heart sounds, with a dominant spectral peak around 97 Hz, consistent with the primary frequency of heartbeats. It also clearly identified the first (S1) and second (S2) heart sounds. However, ambient noise affected sound clarity, indicating the need for further noise reduction. Despite this limitation, the device successfully enabled group auscultation. In conclusion, the speaker-output stethoscope offers an affordable and effective alternative to traditional auscultation, enhancing medical training and improving infection control. Although noise reduction requires further refinement, the system demonstrates strong potential for application in clinical and educational settings, particularly in low-resource environments
Pemanfaatan Getah Pelepah Salak Sebagai Gel Ultrasonografi Alternatif Susanto, Fani; Wibowo, Kusnanto Mukti; Samudra, Alan; Yuswono, Puji; Utami, Hernastiti Sedya; Cayanan, Edgardo
Jurnal Imejing Diagnostik (JImeD) Vol. 11 No. 2 (2025): JULY 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v11i2.12551

Abstract

Background: Conventional ultrasound (USG) gel was generally based on carbomer 940, which was relatively expensive, difficult to access in some areas, and not environmentally friendly due to its non-biodegradable nature. This study aims to evaluate the potential of salacca leaf sap as an alternative material for a more affordable, easily obtainable, and environmentally friendly natural ultrasound gel.Methods: A quantitative experimental study was conducted on 30 adult patients. Each subject underwent two liver ultrasound examinations using carbomer 940 gel and gel from salacca leaf sap. Image assessment was conducted by three radiology specialists using the visual grading method on the parameters of parenchyma, portal vein, nodules, and artifacts. Data were analyzed using the Wilcoxon test and Cohen's Kappa test to measure inter-rater agreement.Results: The research results indicate that there is no statistically significant difference between the ultrasound images using factory gel and salacca leaf sap gel (p > 0.05). All image parameters, such as parenchymal homogeneity, visualization of the portal vein, and minimal artifacts, appeared equivalent in both types of gel.Conclusions: Salacca leaf sap shows physical characteristics that support ultrasonic wave transmission and is capable of producing liver ultrasound images comparable to commercial gel. With local availability, low cost, and environmentally friendly properties, this material has the potential to be a viable alternative to ultrasound gel that can be further developed for clinical practice and areas with limited access.
Application of IoT using nodeMCU ESP8266 on the Syringe Pump Device to Increase Patient Safety Anjani, Annisa Gallela; Sunarto, Presillia Grisviani; Royan , Royan; Wibowo, Kusnanto Mukti; Romadhona, Gema; Sapundani, Rum; Mulyanto, Arif; Setiawan, Iwan; Jumrianto, Jumrianto; N. Prasath5, N. Prasath
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 1 (2022): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i1.137

Abstract

Nowadays, health care has turned out to be more technology-oriented. Today's technology is demanded to be practical and easy to use. Based on data, the number of uses of mobile devices based on the Android operating system has increased significantly. The open-source nature of android helps in programming applications easily according to user requirements. A syringe pump is a medical device that functions to enter the medicinal fluid into the patient's body at a certain dose and time automatically in mL/hour. The syringe pump is generally equipped with an alarm. Alarms have a vital function to provide information to nurses or doctors who are on duty. Medical officers cannot hear alarms if they are outside the patient monitoring room. This paper aims to design a syringe pump that is equipped with a NodeMCU8266 WiFi module to provide notifications via a smartphone so that nurses or doctors can know the alarm even though they are outside the patient monitoring room. So, this is expected can improve patient safety. In addition, this paper also aims to verify the size of the syringe against the drug flow rate. Based on the test results, the syringe pump can control the drug flow rate with a sensor accuracy of 0.0217 and an error rate of 0.6% at a target volume of 5mL. The syringe pump can also send alarm notifications to smartphones in real-time.
RANCANG BANGUN SISTEM PEMANTAUAN KADAR OKSIGEN DAN BERAT BADAN BAYI PADA INCUBATOR BAYI MENGGUNAKAN BLYNK IOT DAN NODEMCU Aushaaf, Muhammad Hisyam; Wibowo, Kusnanto Mukti; Ishartom, Farid; Latif, Abdul; Romadhona , Gema
Teknika Vol 10 No 2 (2025): October 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v10i2.473

Abstract

Inkubator bayi merupakan alat vital dalam perawatan bayi prematur untuk menjaga suhu tubuh, kelembapan, kadar oksigen, dan memantau berat badan secara stabil. Namun, sistem pemantauan konvensional sering kali belum mampu memberikan data secara real-time maupun terintegrasi dengan sistem peringatan dini. Penelitian ini bertujuan merancang dan membangun sistem pemantauan kadar oksigen dan berat badan bayi pada inkubator menggunakan teknologi Internet of Things (IoT). Sistem ini dibangun dengan sensor MQ-135 untuk mengukur kadar oksigen, load cell untuk berat badan, NodeMCU sebagai mikrokontroler, serta aplikasi Blynk IoT dan LCD sebagai tampilan data. Data dari sensor dikirim secara nirkabel ke aplikasi Blynk dan ditampilkan secara langsung di LCD. Hasil pengujian menunjukkan tingkat akurasi sistem tinggi dengan error rata-rata pengukuran berat hanya 0,40%. Sistem juga mampu memberikan notifikasi suara dan alarm jika kadar oksigen berada di luar rentang aman (19–23%). Alat dan bahan yang digunakan meliputi sensor MQ-135, sensor load cell, modul HX711, NodeMCU, LCD I2C, serta aplikasi Blynk sebagai antarmuka pengguna. Implikasi dari sistem ini adalah tersedianya alat bantu pemantauan yang efektif, akurat, dan real-time bagi tenaga medis, sehingga mampu meningkatkan kualitas layanan dan keselamatan bayi prematur di ruang perawatan intensif rumah sakit.
Co-Authors Abdul Latif Achmad Noerkhaerin Putra Ahmad Khoiri Ahmad Mohd Khairul Ahmad Norazlina Aini Nurul Anang Widiantoro Anjani, Annisa Gallela Annisa Gallela Anjani Apit Fathurohman Ariesma Githa Giovany Arif Mulyanto Arif Mulyanto, Arif Aushaaf, Muhammad Hisyam Bintang Kukuh Iman Setyabudi Cayanan, Edgardo Che Ani, Norhidayah Fani Susanto Farid Ishartomo Fatiatun Fatiatun Fatiatun Fatiatun Fatiatun, Fatiatun Fatimah Nur Hidayah Firdaus Firdaus Fitriana, Lutfatul gema romadhona Hernastiti Sedya Utami Hidayat, Fathur Rachman Ilham Bagas Indaryanto Ilham Ilham Irmawanto, Rudi Ishartom, Farid Ismi Rahayu Iwan Setiawan Iwan Setiawan Jadmika, Muhammad Riefki Jumrianto Jumrianto Jumrianto, Jumrianto Khumaeroh, Nadia kurniawan, rahmat adi Maftuh Ulumudin Mela Afiliyani Mohamad Fariza Muqoyyanah Muqoyyanah Muzdalifah, Nadifah Pratiwi N. Prasath N. Prasath5, N. Prasath Najib Al Adib Nani Sunarmi Nur An-Nuha Muniroh Nurliana, Evi Petrus Heru Sudargo Pratama Rahardian, Arga Presillia Grisviani Grisviani Putut Marwoto Rahayu, Gusrina Rahman Nugraha, Fathur Rahmayanti, Handika Dany Ramadhani, Rizka Oktavia Rifa'i Majid, Rizki Rofiqoch, Isnaeni Romadhona , Gema Royan , Royan Royan -, Royan Royan Royan royan, royan Rum Sapundani Samudra, Alan Sri Jumini Sunarto, Presillia Grisviani Supriyadi Supriyadi Suryani Abu Bakar Susanto, Fani Talib Azman Tirta Nadi, Danu Totok Wartiono Utami, Hernastiti Sedya Wahyu Caesarendra Yuswono, Puji