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Pelatihan dan Workshop Robotika untuk SMK Kesehatan Binatama Yogyakarta Amalia Cemara Nur'aidha; Wahyu Sugianto
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2022): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v6i3.4278

Abstract

Perkembangan teknologi membawa dampak besar bagi dunia pendidikan. Institusi luar negeri telah menerapkan pendidikan Science, Technology, Engineering, and Mathematics (STEM). Salah satu penerapan STEM dalam bidang pendidikan adalah pemanfaatan teknologi robotika sebagai sarana pengembangan kreativitas dan inovasi pelajar. Kegiatan PkM bertujuan untuk memberikan pelatihan dan pendampingan guru dan siswa SMK Kesehatan Binatama dalam pembelajaran robotika. SMK Kesehatan Binatama merupakan “smart school” dan sekolah yang berbasis penggunaan android untuk menunjang pembelajaran. Berdasarkan analisis SWOT diperoleh permasalahan tentang kurangnya kesiapan lembaga pendidikan untuk melakukan pembelajaran robotika baik dari segi tenaga pengajar maupun fasilitas pembelajaran. Metode penyelesaian masalah tersebut adalah dengan melakukan pelatihan dan workshop mengenai robotika khususnya dalam aplikasi di bidang medis. Kegiatan PkM di laksanakan dengan enam kali pertemuan mulai dari observasi, audiensi, dan pelaksanaan workshop dengan  metode ceramah, diskusi dan praktik. Peningkatan kemampuan mitra tim PkM melakukan evaluasi selama kegiatan berlangsung dan memberikan tugas untuk menyusun program pada robot line follower. Hasil dari workshop didapatkan guru pendamping dan perwakilan siswa telah memiliki dasar pengetahuan dasar robotika. Hal ini dibuktikan dari hasil evaluasi guru pendamping dan siswa dapat menyelesaikan perancangan robot mulai dari hardware hingga software (program).
Kajian Awal Karakteristik Impedansi Listrik Larutan NaCl pada Berbagai Konsentrasi Menggunakan Metode Spektroskopi Impedansi Listrik Wahyu Sugianto; Herenda Sela Wismaya
Magnetic: Research Journal of Physics and It’s Application Vol. 3 No. 1 (2023): Magnetic: Research Journal of Physics and It’s Application
Publisher : Program Studi Fisika - Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/magnetic.v3i1.254

Abstract

Larutan NaCl merupakan salah satu elektrolit utama dalam tubuh manusia. Selain itu, pemanfaatan larutan NaCl sebagai larutan pengencer pada bidang medis juga banyak digunakan. Makalah ini menganalisis karakteristik impedansi larutan NaCl dan juga hubungan antara konsentrasi dengan nilai impedansi listrik dari larutan NaCl. Metode Spektroskopi Impedansi Listrik (SIL) diterapkan dengan menginjeksikan arus listrik sebesar 1 mA ke dalam larutan NaCl. Tegangan keluaran respons dicatat menggunakan PicoScope 5244B. Pengukuran impedansi menggunakan dua elektroda jarum yang terbuat dari emas dalam rentang frekuensi 1 Hz hingga 100 kHz. Konsentrasi sampel larutan NaCl yang digunakan 1,7 mM- 513 mM. Karakteristik impedansi hasil pengukuran larutan NaCl memiliki pola seperti model rangkaian ekuivalen Randles. Pengukuran impedansi larutan NaCl yang baik adalah pada rentang frekuensi 10 kHz – 100 kHz dimana larutan NaCl memiliki sifat resistif yang dominan. Hasil pengukuran impedansi listrik dari Larutan NaCl semakin berkurang dengan bertambahnya konsentrasi larutan NaCl.
Analisis Kinerja Kaki Palsu menggunakan Metode FEA (Finite Element Analysis) Khulayfah, Ade Fitri; Kumarajati, Dhananjaya YH; Sugianto, Wahyu
JURNAL CRANKSHAFT Vol 7, No 2 (2024): Jurnal Crankshaft Vol.7 No.2 (2024)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v7i2.12456

Abstract

Kaki palsu jenis Energy Storing and Return (ESR) merupakan jenis kaki palsu yang relatif baru dan masih terus dikembangkan karena kaki palsu jenis Energy Storing and Return (ESR) adalah solusi inovatif untuk meningkatkan mobilitas dan kenyamanan pengguna. Penelitian ini bertujuan untuk menganalisis desain kaki palsu jenis Energy Storing and Return (ESR) pada posisi midstance menggunakan Finite Element Analysis (FEA). Desain yang akan diuji menggunakan material Thermoplatic Resin dengan keunggulan memiliki bobot yang ringan, harga yang lebih terjangkau dan fleksibilitas yang optimal. Pembebanan 540 N di aplikasikan pada kaki palsu yang akan diuji untuk mensimulasikan kondisi berjalan normal. Analisis tegangan deformasi, dan faktor keamanan untuk evaluasi kinerja desain. Hasil simulasi menunjukkan bahwa faktor keamanan di seluruh bagian kaki palsu memiliki nilai yang aman. Namun, pada desain perlu dioptimalkan kembali untuk meningkatkan performa dan keamanannya. Kata kunci: kaki palsu, ESR, FEA, midstance, faktor keamanan.
Pemodelan dan Analisis Desain Prostetik Jari Menggunakan Metode Elemen Hingga (FEM) Chaerunisa, Salsabilla Thallah; Kumarajati, Dhananjaya Y.H.; Sugianto, Wahyu
JURNAL CRANKSHAFT Vol 7, No 3 (2024): Jurnal Crankshaft Vol.7 No.3 (2024)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v7i3.12727

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menganalisis desain prostetik jari tangan dengan mekanisme crosscable menggunakan material Polylactic Acid (PLA) melalui pendekatan Metode Elemen Hingga (FEM). Proses pemodelan dan simulasi dilakukan menggunakan software Autodesk Fusion 360 untuk mengevaluasi kinerja dan ketahanan desain sebelum pembuatan prototipe. Hasil simulasi menunjukan bahwa deformasi maksimal yang terjadi pada prostetik jari dengan beban 40 N adalah sebesar 0.299 mm, tegangan maksimal mencapai 6.484 MPa, dan regangan maksimal sebesar 0.05. faktor keamanan yang diperoleh adalah 8.00, yang melebihi batas minimum faktor keamanan sebesar 1.00. Berdasarkan hasil analisis ini, dapat disimpulkan bahwa desain prostetik jari berbahan PLA ini aman, fungsional, dan siap untuk fabrikasi, sehingga diharapkan dapat memberikan solusi yang lebih terjangkau dan ramah lingkungan untuk pengguna prostetik jari.
Rancang Bangun Alat Pengukur Kadar Glukosa Darah Non-Invasif Berbabis ESP 8266 Terintegrasi Thingspeak dan Apsensi Biometrik Pionis, Pankrasius; Nur’aidha, Amalia Cemara; Sugianto, Wahyu
JURNAL CRANKSHAFT Vol 7, No 2 (2024): Jurnal Crankshaft Vol.7 No.2 (2024)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v7i2.12889

Abstract

Diabetes Melitus adalah penyakit kronis yang prevalensinya terus meningkat. Saat ini, metode invasif dan non-invasif digunakan untuk mengukur kadar glukosa dalam darah. Metode invasif melibatkan pengambilan sampel darah yang merusak jaringan kulit, sementara metode non-invasif tidak merusak jaringan kulit. Keduanya belum memiliki database pasien yang terintegrasi. Oleh karena itu, dikembangkanlah alat pengukur kadar glukosa darah non-invasif beserta database pasien, menggunakan mikrokontroler NodeMCU ESP8266, modul sensor fotodioda, LCD I2C, situs web ThingSpeak, Wemos D1 Mini, modul sensor sidik jari, OLED I2C, dan situs web absensi biometrik. Tujuannya adalah untuk memantau kadar glukosa darah serta data pasien secara efektif. Hasil penelitian menunjukkan bahwa pengukuran kadar glukosa darah dapat dipantau melalui ThingSpeak dan data pasien dapat diinput ke aplikasi absensi biometrik. Dalam perbandingan dengan alat glukometer Easy Touch GCU, alat glukometer non-invasif yang dikembangkan memiliki persentase error tertinggi sebesar 3.23% dan terendah sebesar 1.55%.
CLUSTERING NACL SOLUTION CONCENTRATION BASED ON IMPEDANCE, CONDUCTIVITY, AND TDS PARAMETERS USING A PCA APPROACH WITH K-MEANS CLUSTERING Wismaya, Herenda Sela; Sugianto, Wahyu
JRFES (Jurnal Riset Fisika Edukasi dan Sains) Vol 10, No 2 (2023): Jurnal Riset Fisika Edukasi dan Sains
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jrfes.2023.v10i2.7548

Abstract

A research study requires an approach to implement research data more optimally and be easily interpretable. The PCA approach with K-means clustering is an appropriate method for clustering NaCl solution concentrations based on impedance, TDS, and conductivity parameters. The results of this method indicate that the first and second principal components with eigenvalues of 2.7208 and 1.2728, respectively, represent 68.0% and 31.8% of the total variability. Cumulatively, these two principal components account for 99.8% of the total variance. This suggests that the approach used aligns well with the tested parameters. Therefore, it can be concluded that the PCA approach with K-means clustering can be used to cluster NaCl solution concentrations, distinguishing between low and high concentrations of NaCl solutions
Design of Arduino Uno-Based Height and Weight Measuring Instrument for Initial Screening of Stunting Cases Hayuningclara, Talitha Nabila
Jurnal Fisika dan Aplikasinya Vol 20, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i2.20400

Abstract

Monitoring nutritional status in toddlers is very important because it can be an early indicator of possible health problems in children. Currently, the process of monitoring children's nutrition is generally still carried out manually, which not only takes longer but is also less efficient in practice. To overcome the limitations of conventional measuring devices, a digital measuring device for height and weight was designed. This tool displays the results of height and weight measurements simultaneously on an LCD (liquid crystal display) screen. This tool works with uses an Arduino microcontroller as a control center and uses electronic sensors, namely the HC-SR07 ultrasonic sensor to measure height and the HX711 loadcell sensor to measure weight. From the data obtained, the error value and accuracy of the loadcell sensor after calibration produced an error value of 6.24% and an accuracy of 93.76%. Meanwhile, the ultrasonic sensor test results after the calibration process produced an error value of 0.052% and an accuracy of 99.94%.
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

Abstract

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

Abstract

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.
Comparative Characteristics of Electrolyte Solutions Using Electrical Impedance Spectroscopy Method Fathia D.S, Adinda Fajar Mila; Sugianto, Wahyu; Setiana, Mira
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.v19i5.7090

Abstract

Electrolyte solutions can conduct electric current and help maintain balance in the human body. This study compares the electrical impedance characteristics of various electrolyte solutions using the Electrical Impedance Spectroscopy (EIS) method. Three types of electrolyte solutions were tested: NaCl solution, Ringer’s Lactate (RL) solution, and Simulated Body Fluid (SBF) solution with concentration variations of 20%, 40%, 60%, 80%, and 100%. Measurements were conducted over a frequency range from 1 Hz to 1 MHz to compare electrolyte solutions using a frequency of 10 kHz with an electric current of 50 μA. At a frequency of 10 kHz, a comparison of the three types of electrolyte solutions with concentration variations from 20% to 100% was made. The measurement result showed that the NaCl solution had an impedance value of 200Ω to 900Ω at high frequencies. The Ringer’s Lactate (RL) solution exhibited impedance variations with impedance values ranging from 800Ω to 300Ω, which is more complex due to the other hand, the Simulated Body Fluid (SBF) solution demonstrated impedance stability at high frequencies with impedance values ranging from 400Ω to 200Ω, indicating its electrical properties suitability with human body conditions. Each electrolyte solution has its characteristics in impedance values at a frequency of 10 kHz, which allows for comparing the three types of electrolyte solutions. For further research, additional studies could include impedance characteristics of electrolyte solutions to broaden understanding of their electrical properties, considering variations in frequency and current conditions to optimise impedance characteristic measurements for various electrolyte solutions.