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All Journal Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Register: Jurnal Ilmiah Teknologi Sistem Informasi JURNAL BIOLOGI INDONESIA Jurnal Ilmiah Ekonomi Islam specta: Journal of Photography, Arts, and Media JISAE (Journal of Indonesian Student Assesment and Evaluation) Fajar Historia: Jurnal Ilmu Sejarah dan Pendidikan Jurnal Pendidikan Sejarah Indonesia Proceedings of Annual Conference for Muslim Scholars Mitra PGMI: Jurnal Kependidikan MI Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Business, Law, and Education Jurnal Penelitian Pendidikan Matematika Jurnal Manajemen Sistem Informasi Jurnal Pengabdian Sosial Jurnal Multidisiplin Indonesia Journal of Bussines Management Basic Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Jendela Matematika Jurnal Cendekia Ilmiah LamLaj Jurnal Teknokes
Syaifudin Syaifudin, Syaifudin
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Design of Incu Analyzer for IoT-based Baby Incubator Calibration Septiana, Silvi Dwi; Syaifudin, Syaifudin; Maghfiroh, Anita Miftahul; Huynh, Phuoc-Hai
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Incubator Analyzer is a calibration tool that measures baby incubators' temperature, mattress temperature, humidity, airflow, and sound level. This research aims to design an "Incu Analyzer for IOT-based Baby Incubator Calibration (Chamber Temperature)" tool with an LCD and Thingspeak integration. The design of this calibration tool involves the baby incubator chamber temperature parameters, namely T1, T2, T3, T4, and T5, which are measured using the DS18B20 sensor. The ESP32 microcontroller is employed to leverage the IoT system, and Wi-Fi is used for IoT communication. The ESP32 processes data collected from the DS18B20 temperature sensor and displays it on the LCD and Thingspeak. This tool is tested by comparing the incubator analyzer module with a standard measuring instrument, INCU II. The temperature parameter yielded the smallest error value of -0.059293% at T5 with a setting temperature of 36°C and the largest error value of -0.0254188% at T2 with a setting temperature of 35°C. In conclusion, after conducting a comprehensive study of the literature and planning, it can be affirmed that the "Incu Analyzer Design for IOT-Based Baby Incubator Calibration" tool functions as planned, demonstrating its efficacy as an IoT-based Incubator Analyzer. This research has successfully developed an IoT system that utilizes Wi-Fi to transmit data and display reading results on Thingspeak, which significantly facilitates users in monitoring the calibration process.
IoT-Based Insulin Pump Design Analysis Using Flowrate Monitoring Isfahani, Ghina; Syaifudin, Syaifudin; Utomo, Bedjo; Ragimova, Nazila
Jurnal Teknokes Vol. 17 No. 3 (2024): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

The management of diabetes, particularly for individuals requiring insulin therapy, presents significant challengesin ensuring accurate and timely insulin delivery. Traditional insulin pumps often lack the precision and adaptability needed foreffective glucose control, leading to potential complications. This study addresses these issues by developing an IoT-basedinsulin pump that utilizes flowrate monitoring to enhance the accuracy of insulin administration. The research employed theESP8266 microcontroller for data processing and control, coupled with the SLF3S-0600F liquid flow sensor to monitor insulinflow rates. The Blynk application was utilized for remote monitoring and dose adjustments, allowing users to manage theirinsulin delivery conveniently via an Android device. The experimental methodology involved conducting five repeatedmeasurements to assess flow rate accuracy, volume delivery, and motor speed. Results indicated that the insulin pump achieveda flow rate measurement error of only 0.0051% at a setting of 1.5 ml/min, while the largest error recorded was 0.0391% at 3ml/min. Additionally, the volume measurement error was minimal, with the smallest error at a 2 ml setting of 0.016% and thelargest at 1 ml with an error of 0.152%. The average motor speed was recorded at 21.22 rpm for auto settings and 49.88 rpm forbolus settings. In conclusion, the developed IoT-based insulin pump demonstrates significant potential for improving diabetesmanagement through precise insulin delivery and real-time monitoring capabilities. The integration of IoT technology not onlyenhances the accuracy of insulin administration but also provides users with greater flexibility and control over their treatment. This research contributes to the ongoing efforts to innovate diabetes care solutions, ultimately aiming to reduce the risk of long-term complications associated with the disease.
aby Incubator Calibration", Jurnal Teknokes, vol. 17, no. 1, pp. 20–28, March. 2024. Design of Incu Analyzer for IoT-Based Baby Incubator Calibration Maulani, Salsabilla Kusuma; Syaifudin, Syaifudin; Maghfiroh, Anita Miftahul; Wakidi, Levana Forra
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such as temperature, mattress temperature, humidity, airflow, and noise in infant incubators. The present study focuses on the development of the Design Incubator Analyzer for IoT (Mattress Temperature and Humidity) with LCD and ThingSpeak display, specifically designed for calibrating baby incubators. The primary objective is to design and develop an Incubator Analyzer as a calibration device for assessing various parameters in infant incubators, encompassing temperature, mattress temperature, humidity, airflow, and noise. The design of this calibration device incorporates a Thermocouple Type-K sensor for baby incubator mattress temperature parameters, a DHT22 sensor for humidity parameters, and an ESP32 microcontroller. The ESP32 processes data from the Thermocouple Type-K and DHT22 sensors to generate values for mattress temperature (TM) and humidity (RH), which are then displayed on LCD and ThingSpeak displays. The device underwent rigorous testing against an established measuring device, the INCU II. In the study, the TM parameter or mattress temperature exhibited the smallest error of -0.0140% at 35°C and the largest error of 0.0584% at 36°C. Concerning the humidity parameter, the largest error was 0.0570% at 32°C, while the smallest error was 0.0207% at 35°C. Overall, the Incubator Analyzer Design for IoT-Based Baby Incubator Calibration device, or IoT-based Incubator Analyzer, demonstrates potential usability following the planning and execution phases, including a thorough review of existing literature. To enhance user experience during the calibration process, an IoT system was developed for data transmission over Wi-Fi, presenting results on the ThingSpeak platform in real-time.
Design Analysis of Portable 1 Channel Infusion Device Analyzer Using Sensor SKU 237545 Syaifudin, Syaifudin; Rahmawati, Triana
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

An infusion pump is a tool used to inject a certain amount of fluid into the patient's body through the patient's veins continuously over a certain period of time. A syringe pump is a tool that functions to push the syringe rod so that it can produce a flow ranging from microliters to milliliters per minute periodically with high accuracy. Very often there are problems with blockages or occlusion when using infusion pumps and syringe pumps. The occlusion limit set is ≤20 PSI according to ECRI. The presence of occlusion in the infusion pump and syringe pump can be identified when there is an alarm buzzer which will sound when a blockage is detected. A 1 Channel Portable Infusion Device Analyzer has been designed using the SKU 237545 Sensor, namely by using a 1 channel flowrate and occlusion sensor and making it portable to be efficient. For this reason, it is necessary to analyze the performance of the tools that have been created. How accurate is it? From the results of performance testing, Oclusion was corrected at 0.242 psi and 0.3 Psi. For flow rate, the largest correction was 2.4 ml/hour and the uncertainty was 6,046 ml/hour. This shows that the accuracy of the design is still quite high and the resulting tool is still not stable, this can be seen from the uncertainty value. The uncertainty that occurs is likely due to the sensitivity of the droplet sensor related to the detection time of the droplet
Bedside Monitor Based on Personal Computer Using STM32F7 Microcontroller Riswandhani, Ingga Ariestya; Cahya Nugraha, Priyambada; Syaifudin, Syaifudin
Jurnal Teknokes Vol. 16 No. 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

A vital sign examination is one of the important indications used to establish the diagnosis of a disease and is useful for determining the medical treatment plan needed for the patient. An electrocardiograph (ECG) is a parameter in medical equipment used in the process of measuring the electrical activity of the heart muscle by measuring biopotential differences from the body surface. In 2016, cardiovascular disease was the number-one cause of death in the world. This happens because the detection of cardiovascular disease is often late, so a monitoring tool is needed that can monitor the patient's condition quickly and efficiently. The purpose of this research is to create a tool that is used to facilitate the monitoring of patient conditions. The implication of this research is that in the many cases where the signal produced is not perfect and there is still a lot of noise, this can be overcome by using the STM32F7 microcontroller, which has a 16-bit resolution, so that the resulting signal will be better, smoother, and have less noise. produced is very small. The method used in this study was to use a phantom ECG as a comparison and to use five respondents whose BPM values were to be compared with another comparison using a pulse oximeter. The design of this tool uses an ECG analog circuit that is placed on the patient's lead II leads to detect the patient's electrocardiograph signal. Data processing will be done using the STM32F7 microcontroller, and the results of the data processing will be sent to the PC using Visual Basic. The results showed that the BPM error value using a phantom ECG was 2.5%. While the smallest error value is 0,83%. In BPM measurements using 5 respondents, the largesterror value was 0.9% and the smallest error value was 0%. The results of these tests indicate that this module can be used to monitor the value of each parameter in accordance with the plan.
Fuzzy Logic Method to Control Evenly Distributed and Stable Waterbath Temperature with Four Heaters Kurniawan, Rifqi; Syaifudin, Syaifudin; Lamidi, Lamidi; Misra, Shubhrojit
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Water baths are commonly used in scientific fields to incubate samples at specific temperatures. The temperature of the water bath must be controlled precisely, because even the slightest temperature variation can affect the results of the experiment. It can handle imprecise, uncertain and incomplete information, making it suitable for temperature control in water baths. This research aims to determine the distribution and stability of fuzzy logic control to control the temperature of a water bath with four heaters. Even heat distribution from the four heaters will ensure consistent water bath temperature throughout the bath. This research uses an Arduino microcontroller to process the temperature sensor output from the DS18B20, then the processed temperature value will be displayed on the TFT LCD. The independent variable in this research is the temperature value, while the dependent variable is the DS18B20 temperature sensor. The largest error value from the module measurements is at a temperature setting of 30 ºC on the 2nd temperature sensor with an error value of 1.43%. Meanwhile, the smallest error value is found at a temperature setting of 35 ºC on the 1st and 4th temperature sensors with an error value of 0.01%. Data collection used a digital thermometer comparison tool with 10 repetitions as a temperature sensor reference tool. The results obtained using this sensor are more stable and have a high accuracy value. The results of the research show that the temperature difference between points 1 to 4 when viewed from the error percentage is very small, or it can be said that the temperature distribution is even. The conclusion from these results is that the module has a stable temperature value and the error value is low and is still within the tolerance limit. permitted is ±5%.
Non-Contact Respiration Monitoring Using Bio-Radar Sensor Based on Linear Regression Classifier Fahrudin Y., Muhamad; Syaifudin, Syaifudin; Irianto, Bambang Guruh; Huynh, and Phuoc-Hai
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Tuberculosis (TB) is an infectious disease that mainly attacks the lungs, caused by the bacterium Mycobacterium tuberculosis. To reduce its spread, hospitals use special rooms for TB patients and health workers follow strict Standard Operating Procedures (SOP). Recent advances in medical technology have led to the development of contactless respiratory monitoring techniques, such as bio-radar sensors that utilize the Doppler principle to detect lung movement. This research aims to explore the application of bio-radar sensors for contactless respiratory rate monitoring and then combine it with machine learning methods, specifically using linear regression algorithms, to translate bio-radar output into measurable respiratory rate values. By training a regression model using a processed raw data set to identify inspiration and expiration, where 1 is inspiration and 0 is expiration. To test the performance of the contactless breathing module, it was compared to a patient monitor. The module and comparison tool were run simultaneously with 10 measurement distance points for 10 patients or respondents with each distance point taken three times. The data that has been obtained from the results of comparisons between modules and comparison tools is entered into machine learning data analysis techniques, namely accuracy, precision and recall. The accuracy results were 74.9%, precision 71.4% and recall 83.3%. This research has proven that bio radar can be used to detect lung movement.
Pemanfaatan Aplikasi Doratoon pada Pengembangan Iklan Animasi Produk untuk Kelompok UMKM Tangerang Selatan Pratiwi, Dian; Syaifudin, Syaifudin; Rochman, Abdul; Mardianto, Is; Jubaidah, Ida; Julieta, Divani; Nabilah Putri, Fitria
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i2.3264

Abstract

Perkembangan teknologi yang makin cepat menuntut adanya kebaharuan juga dalam penggunaan iklan, dimana media-media konvensional seperti brosur atau videotron sudah mulai digantikan. Persaingan antar pelaku UMKM pun tidak lagi hanya pada jenis produk yang dijualbelikan namun pada bentuk iklan yang digunakan untuk memperkenalkan produk mereka ke masyarakat. Kendala ekonomi dan biaya yang terbatas yang dimiliki pelaku UMKM menyebabkan sarana media social menjadi salah satu cara beriklan yang dimanfaatkan oleh mereka, selain karena mudah diimplementasikan, gratis, juga masyarakat kini lebih banyak yang sudah aktif dengan media social. Adanya pemanfaatan media ini menuntut pula kemampuan pelaku usaha untuk mampu membuat konten iklan yang menarik. Inilah yang kemudian akan coba diatasi dalam kegiatan PKM kali ini, dimana akan dibuat sebuah pelatihan untuk para pelaku UMKM yang sudah maupun belum produktif dalam membuat iklan berbasis video animasi dengan memanfaatkan aplikasi Doratoon guna mempromosikan produk-produk yang dijual oleh mereka. Pada pelaksanaannya, kegiatan ini diadakan ke dalam 2 sesi, dimana sesi pertama mengajarkan dasar-dasar Doratoon sekaligus animasi. Sesi kedua yaitu mempraktekkan langsung Doratoon pada pembuatan iklan produk kue (Cakely), yang kemudian diakhiri dengan quiz berhadiah untuk para peserta. Berdasarkan umpan balik 4 dari 15 peserta yang hadir, materi pelatihan yang disajikan 100% dinilai sangat lengkap, pembicara 75% dinilai sangat jelas menyampaikan materinya, 75% peserta menilai mampu untuk memanfaatkan Doratoon pada promosi produk UMKM mereka. Dengan demikian dapat disimpulkan bahwa kegiatan pengabdian kepada masyarakat ini cukup berhasil dalam memberikan keterampilan dan pengetahuan terhadap pemanfaatan aplikasi Doratoon untuk membuat iklan animasi yang menarik.
Personality Type Analysis through Handwriting Characteristics Mapping using Invariant Moment Descriptors Pratiwi, Dian; Syaifudin, Syaifudin; Fauzy, Ahmad; Khasan, Mohammad
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 9 No 2 (2023): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v9i2.3420

Abstract

Handwriting patterns are unique to each individual and can offer valuable insights into their mental health conditions, personality traits, behavioral tendencies, mindsets, and more. To effectively analyze someone's personality or solve a problem using their handwriting, it is crucial to employ suitable descriptors that accurately represent the essential information it contains. Therefore, this study aims to explore the application of invariant moments as descriptors to map personality types using the psychological technique of enneagrams in conjunction with handwriting patterns. The main procedures in this research involve pre-processing, texture-based feature extraction utilizing seven invariant moment values, and applying the chi-square similarity measure. Through testing with 49 handwriting samples and 120 reference data points, it was discovered that 42 writings were successfully and accurately mapped to their corresponding personalities, achieving an impressive accuracy rate of 85.7%. This research also reaffirms the validity of personality analysis through a system that utilizes graphological techniques, as demonstrated by a 4.1% increase in accuracy through the inclusion of invariant moment descriptors when compared to psychologist analysis.
Marketing Dynamics in the Digital Age: A Literacy Study on the Shift from Traditional Marketing to Social Media Syaifudin, Syaifudin; Henriawan, Desan; Suzana, Anna; Budianto, Erwin; Oviana, Rena
Journal of Bussines Management Basic Vol 7 No 1 (2025): Journal of bussines management
Publisher : Universitas Sebelas April, Fakultas Ekonomi dan Bisnis

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Abstract

The shift from traditional marketing to social media marketing in the digital age has become a significant phenomenon in the business world. This change is fuelled by technological advancements, especially internet penetration and the increasing use of social media platforms such as Facebook, Instagram, Twitter, and TikTok. Traditional marketing, which relies on one-way communication through mass channels such as television and print, now faces challenges in reaching younger and informed consumers, who prefer more personalised and direct interactions. In contrast, social media offers opportunities for companies to interact directly with consumers, enabling more segmented, personalised and cost-effective marketing. However, social media marketing also comes with challenges, including platform algorithm changes and data privacy concerns. This study aims to explore the shift from traditional marketing to social media marketing, by identifying the challenges and opportunities faced by companies in implementing effective marketing strategies. The study concludes that the integration of both marketing approaches, i.e. traditional and digital, can deliver optimal results for companies, by strengthening relationships with consumers and increasing the effectiveness of marketing campaigns.
Co-Authors Abdul Halim Barkatullah Abdul Kholiq Abdul Rochman Abdul, Kamaruddin Abrar Abrar Adiani, Rosita Afnan, R. Agung Purwanto Akbar, M Riski Alfarez, Sidqi Ali, Muhammad Irfan Andhika, Muhammad Reza Anggara Trisna Nugraha Anita Miftahul Maghfiroh Ardianto, Refi Ariswati, Her Gumiwang Arnadi Arnadi, Arnadi Auliya, Rizki Azizah, Wafiq Nur Bagus Sumargo, Bagus Bambang Guruh Irianto Budiaman, Budiaman Budianto, Erwin Cahya Nugraha, Priyambada Clara, Evy Dian Pratiwi Dyah Titisari, Dyah Fahrudin Y., Muhamad Fauzy, Ahmad Framono, Muhamad Dwi Gopal, Ram Gupta, Sandeep Kumar Hamzah, Torib Henriawan, Desan Huynh, and Phuoc-Hai Huynh, Phuoc-Hai Ifrani, Ifrani Is Mardianto, Is Isfahani, Ghina Jannah, Nikmatul Jannah, Siti Rohmatul Joko Riyono Jubaidah, Ida Julieta, Divani KHOLIQ, ABD. Kurniawan, Rifqi Lamidi, Lamidi Lawal, Kamilu O. Liliek Soetjiatie Luvi Antari Mahyuni Mahyuni Marlita, Tiara Maulani, Salsabilla Kusuma Misra, Shubhrojit Mohammad Khasan Mujahid, Muhammad Umer Farooq Murti, Roso Nabiel, Muhammad Nabilah Putri, Fitria Nike Astiswijaya Nugroho, Yoga Dwi Octantri, YB. Rischa Via Oviana, Rena Pramudia, Henrikus Pudji, Andjar Pujiastuti, Christina Eni Puput Ariyanti Purnama, Benni Putra, Aria Putri, Fitria Nabilah Ragimova, Nazila Rahim, Rika Ratna Indriawati, Ratna Rieno Septra Nery Riswandhani, Ingga Ariestya Robert Kurniawan, Robert Rofi’i, Mohammad Rohana, Melda Amelia Rohman Rohman Rukmiasih Rukmiasih Santoso, Clarissa Grace Saumur, Amanan Soleman Septiana, Silvi Dwi Setia Budi Sitorus, Agnes Vera Yanti Sofyan, Mochammad Sri Widawati Suliasih Suliasih Supriyadi Supriyadi Suzana, Anna Triana Rahmawati Utomo, Bedjo Wahyuni, Krismanti Tri Wakidi, Levana Forra Yosy Arisandy Zalelawati, Sri