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Design and Analysis of Finger Prosthetics Using Finite Element Methods Agisna, Faza; Kumarajati, Dhananjaya Yama Hudha; Nur’aidha, Amalia Cemara
JMPM (Jurnal Material dan Proses Manufaktur) Vol 8, No 1 (2024): Juni
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v8i1.22283

According to the Central Statistics Agency (BPS), the total number of physically disabled people in Indonesia until 2020 reached 22.5 million people. However, only around 18% use assistive devices. 3D printing technology in the world of health can be used to print prosthetic materials. However, many previous functional prosthetic designs were still fabricated conventionally and did not pay attention to prosthetic standards and quality. One computational testing method that can be used to test prosthetic strength is the finite element method. The aim of this research is to produce a functional finger prosthetic design that has tested its strength through computational simulations using the finite element method to minimize prosthetic production costs so that the resulting prosthetics are more affordable.The tools needed in this research are a ruler for finger measurements and a computer or laptop with Fusion 360 software.Based on the analysis results, it shows that this model is able to withstand loads of up to 100 N with deformation, stress and safety factor values produced respectively of 0.016 mm, 27,605 MPa and 7.49.

Analisis Finite Element pada Prostesis Lari: Studi Modifikasi Material dan Desain Kumarajati, Dhananjaya Yama Hudha; Nur'Aidha, Amalia Cemara; Khulayfah, Ade Fitri
JURNAL CRANKSHAFT Vol 7, No 4 (2024): Jurnal Crankshaft Vol.7 No.4 (2024)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v7i4.13941

Penelitian ini bertujuan untuk mengevaluasi dan memodifikasi desain prostesis lari yang berasal dari paten Eropa, yang awalnya menggunakan serat karbon sebagai bahan utama. Modifikasi yang dilakukan meliputi penggantian serat karbon dengan komposit polimer fiberglass dan penambahan ketebalan prostesis sebesar 2,5 mm agar dapat menahan beban dinamis setara dengan 8 kali berat pelari, atau sekitar 5096 N, saat berlari. Evaluasi dilakukan menggunakan Analisis Elemen Hingga (Finite Element Analysis/FEA), dengan fokus pada stres, regangan, dan deformasi total di bawah kondisi beban tersebut. Hasil analisis menunjukkan bahwa stres maksimum yang tercatat adalah 850 MPa, yang masih berada di bawah kekuatan tarik maksimum komposit polimer fiberglass, yaitu 1,2 GPa. Regangan maksimum yang tercatat adalah 0,025, dan deformasi total mencapai 51,878 mm, keduanya masih dalam batas yang dapat diterima untuk fungsi prostesis. Material ini terbukti menjadi alternatif yang lebih ekonomis dibandingkan serat karbon, dengan kinerja yang memuaskan untuk prostesis lari. Namun, disarankan untuk melakukan validasi eksperimental lebih lanjut dan uji lapangan guna memastikan daya tahan dan kenyamanan jangka panjang.

Design and Analysis of Finger Prosthetics Using Finite Element Methods Agisna, Faza; Kumarajati, Dhananjaya Yama Hudha; Nur’aidha, Amalia Cemara
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v8i1.22283

According to the Central Statistics Agency (BPS), the total number of physically disabled people in Indonesia until 2020 reached 22.5 million people. However, only around 18% use assistive devices. 3D printing technology in the world of health can be used to print prosthetic materials. However, many previous functional prosthetic designs were still fabricated conventionally and did not pay attention to prosthetic standards and quality. One computational testing method that can be used to test prosthetic strength is the finite element method. The aim of this research is to produce a functional finger prosthetic design that has tested its strength through computational simulations using the finite element method to minimize prosthetic production costs so that the resulting prosthetics are more affordable.The tools needed in this research are a ruler for finger measurements and a computer or laptop with Fusion 360 software.Based on the analysis results, it shows that this model is able to withstand loads of up to 100 N with deformation, stress and safety factor values produced respectively of 0.016 mm, 27,605 MPa and 7.49.

Prediksi Penyakit Diabetes Mellitus Tipe I dan Tipe II Menggunakan Metode KNN di Klinik Dharma Husada Richa Nanda Fitria; Wahyu Sugianto; Amalia Cemara Nur’aidha
Antigen : Jurnal Kesehatan Masyarakat dan Ilmu Gizi Vol. 2 No. 3 (2024): Agustus : Antigen: Jurnal Kesehatan Masyarakat dan Ilmu Gizi
Publisher : LPPM STIKES KESETIAKAWANAN SOSIAL INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/antigen.v2i3.303

Diabetes Mellitus (DM) is a metabolic disorder characterized by high blood sugar levels due to insulin deficiency. Factors causing Diabetes Mellitus (DM) are lifestyle which includes diet, lack of exercise, monitoring blood sugar, and medication. Most people do not realize that they have DM and only find out when they experience severe symptoms. To avoid this, the k-Nearest Neighbor (KNN) method can be used to predict the possibility of developing diabetes. The aim of this research is to classify diabetes mellitus using the K-Nearest Neighbor (KNN) method and make people more aware of the risk of disease through healthy lifestyle changes. Data received from the Dharma Husada Clinic is categorized based on researchers' needs, including age, BMI, insulin, skin thickness, glucose, diabetes, genetics, and insulin. This research was carried out in three main steps: dataset input, preprocessing, and evaluation. The first stage is data analysis which begins by entering a dataset to train and test the model, where each data element has certain characteristics (attributes) and classes. Preprocessing steps include training data generation and data cleaning, which includes sanitization, lowercase, normalization, stopwords, stemming, and tokenizing. The final step is evaluating. Evaluation includes building an evaluation model and measuring the level of accuracy, building a predictive model, and saving the model. This research shows that the K-Nearest Neighbor (KNN) method can be used to classify diabetes mellitus (DM), but especially in a small dataset consisting of 245 dates and 8 attributes it is not accurate for patients aged 30 years. . A k value that is too small can cause overfitting, and a k value that is too large can cause underfitting. However, if the amount of data is small, the choice of k can have a large impact.

Analysis of Bacterial Characteristics Using the Electrical Impedance Spectroscopy Method Dasmasela, Evangelista Militchia Christy; Sugianto, Wahyu; Nur’aidha, Amalia Cemara
Jurnal Pijar Mipa Vol. 19 No. 5 (2024): September 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i5.7061

Microorganisms have various shapes, structures, and characteristics. This study uses the method of electrical impedance spectroscopy aimed at identifying and comparing the characteristics of Escherichia Coli, Salmonella Typhi, and Staphylococcus Aureus. Measurements from 1 Hz to 100,000 Hz show that Salmonella Typhi has the highest impedance value at low frequencies. In contrast, Escherichia Coli impedance decreases consistently, and Staphylococcus Aureus decreases sharply after 10 Hz. Significant changes are observed in the mid-frequency range of 100 Hz to 1000 Hz, with Salmonella Typhi showing the highest impedance values at 100 Hz compared to Staphylococcus Aureus and Escherichia Coli. At 100 Hz, Salmonella Typhi has the highest impedance value with a mass of 0,06 grams at approximately 39.000 Ohms, 0,08 grams at 35.000 Ohm, and 10 grams at 34.000 Ohm. This is followed by Staphylococcus Aureus, with a mass 0f 0,06 grams having an impedance value of 23.000 Ohms, 0,08 grams having a high impedance value of 31.000 Ohm, and 0,10 grams having an impedance value of 15.000 Ohm. Escherichia Coli, with a mass of 0.06 grams, has an impedance value of 9.000 Ohms, 0,08 grams with an impedance value of 5.000 Ohms, and 0,10 grams has an impedance value of 5.000 Ohms. Electrical Impedance Spectroscopy is effective for identifying and comparing Escherichia coli, Staphylococcus aureu, and Salmonella typhi as the intrinsic characteristics of bacterial cells more influence impedance than bacterial mass.

Desain Syringe Pump Terprogram Menggunakan Arduino Uno Nur Hayati, Rini Dwi; Nur'aidha, Amalia Cemara; Kumarajati, Dhananjaya YH
JURNAL CRANKSHAFT Vol 8, No 1 (2025): Jurnal Crankshaft Vol.8 No.1 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v8i1.14170

Infus merupakan alat medis yang banyak digunakan dalam bidang kesehatan, jumlah pemasangan infus di RS Indonesia hampir 70%. Saat ini kebanyakan alat infus pump belum menggunakan data volume infus dalam pengoperasiannya. Syringe Pump ini dibuat untuk membantu tenaga medis memasukkan cairan obat atau nutrisi ke dalam tubuh pasien secara teratur dengan mengatur kecepatan tetesan infus menggunakan data volume infus. Metode yang digunakan penulis pada penelitian ini ialah eksperimen dan pengujian berulang. Hasil penelitian menunjukkan kinerja yang cukup baik dalam hal akurasi dan stabilitas dengan tingkat presisi 93.88%, akurat 93.52% serta presentase error hanya 5.12%. Kata kunci: arduino uno, infus pump, mikrokontroller, syringe pump, volume obat

SISTEM DETEKSI DETAK JANTUNG BERBASIS SENSOR MAX30102, ARDUINO UNO, DAN OLED DISPLAY UNTUK PEMANTAUAN DETAK JANTUNG SECARA REAL-TIME jannah, maulida uswatun; Nur'aidha, Amalia Cemara; Kumarajati, Dhananjaya Yama Hudha
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4528

Gangguan kesehatan yang disebabkan oleh detak jantung dapat mengakibatkan kerja jantung menjadi tidak maksimal. Salah satu penyakit yang disebabkan oleh gangguan detak jantung yaitu aritmia. Gangguan ini mengakibatkan kerja detak jantung menjadi lebih lambat atau lebih cepat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem deteksi detak jantung menggunakan sensor MAX30102 yang diintegrasikan dengan mikrokontroler Arduino Uno dan layar OLED. Pengujian setelah dilakukan dengan membandingkan hasil pengukuran sensor dengan alat pulse oximeter dalam dua kondisi yaitu tidak beraktivitas dan berlari. Hasil menunjukkan bahwa rata-rata tingkat akurasi sensor MAX30102 mencapai 98% saat tidak beraktivitas dan 99% setelah berlari, menunjukkan bahwa sensor ini dapat dipanggil untuk pengukuran detak jantung.

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