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All Journal Bulletin of Electrical Engineering and Informatics Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal Kesehatan Vokasional JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) SANITAS: Jurnal Teknologi dan Seni Kesehatan
Rinda Nur Hidayati
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Astronomy Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Other

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Portable urine alcohol detector fabrication with arduino microcontroller-based MQ-3 sensor Henry Prasetyo; Fitri Nur Indah Sari; Rinda Nur Hidayati; Raditya Linggar Apriyanto
Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Vol 7, No 2 (2021)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/gravity.v7i2.11376

Abstract

An alcohol detector in urine is a tool that can detect alcohol in a person's urine. This tool detects Ethanol gas using the MQ-3 sensor. The MQ-3 sensor is an analog sensor that has a 5 volt DC power supply specification. Arduino Uno as a data processor obtained from reading the MQ-3 sensor and displayed on the LCD. This tool detects alcohol in a person's urine until it is known whether liquor is in the urine or not. From the design of this urine alcohol detector, the test results show an increase in the ADC sensor value when the sensor detects alcohol. It is known that it takes a different time for the sensor to return to the initial value of various alcohol concentrations. This study concluded that the sensor worked well until the alcohol concentration was 0.1%. The sensor also needed time to return to the starting point, directly proportional to the alcohol concentration examined. 
Metode Histogram Equalization untuk Peningkatan Kualitas Citra dengan Menggunakan Studi Phantom Lumbosacral Guntur Winarno; Muhammad Irsal; Claricia Alamanda Karenina; Gando Sari; Rinda Nur Hidayati
Jurnal Kesehatan Vokasional Vol 7, No 2 (2022): Mei
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.71469

Abstract

Latar Belakang: Pemeriksaan lumbosacral sering kali menghasilkan kualitas citra yang kurang optimal. histogram equalization merupakan tahapan memanipulasi data citra digital untuk meningkatkan kualitas citra yang dapat diimplementasikan pada citra digital radiografi lumbosacral.Tujuan: Mengevaluasi peningkatan kualitas citra digital radiografi lumbosacral dengan menggunakan histogram equalization.Metode: Jenis penelitian ini adalah kuantitatif dengan pendekatan eksperimental. Jumlah sampel terdiri dari 1 Kyouku’s anthropomorphic phantom yang dibagi menjadi citra lumbosacral proyeksi antero posterior (AP) dan lateral sebelum dan setelah direkonstruksi menggunakan histogram equalization. Kualitas citra dinilai dengan analisis grafik histogram, pengukuran nilai signal to noise ratio (SNR) merupakan parameter untuk menentukan kualitas citra radiografi, dan visual grading analysis (VGA) oleh 10 orang radiografer dianalisis dengan menggunakan Uji Wilcoxon Signed-Rank.Hasil: Hasil kualitas citra menunjukkan bahwa analisis grafik histogram memiliki visual kecerahan yang meningkat, grafik histogram terdistribusi merata, dan nilai SNR meningkat setelah direkonstruksi dengan metode histogram equalization. Hasil VGA dengan menggunakan uji wilcoxon Signed-Rank setelah direkonstruksi kembali dengan metode histogram equalization pada proyeksi AP menunjukkan nilai 0,005 dan proyeksi lateral 0,074 dengan p-value > 0,05.Kesimpulan: Terjadi peningkatan kualitas citra radiografi proyeksi AP dan lateral dengan menggunakan metode histogram equalization.
Self-monitoring of Glucose With A Non-invasive Method Using Near Infrared Sensor Rinda Nur Hidayati; Nur Hasanah Ahniar; Gita Rindang Lestari; Atika Hendryani; Faris Al Hakim
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 11 No 2 (2020): SANITAS Volume 11 Nomor 2 Tahun 2020
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2020.10

Abstract

Diabetes mellitus or commonly called diabetes is a worldwide epidemic caused by chronic hyperglycemia. Simplify the blood glucose monitoring and easy to use is an essential part of diabetes management. Currently, the use of blood glucose meters conventional in clinical practice needs sufficient reliability. Therefore, self-monitoring of blood glucose with a non-invasive method was presented. A non-invasive blood glucose monitoring device was initially for information on glucose level measurements. A non-invasive method to determine the level of glucose by applying the physical properties of the absorption of the laser sensor that can produce a voltage change at various glucose levels. In this paper, a glucose monitoring module was fabricated with dimensions of 25x27x15 cm which has a minimum system, sensor, and LCD as a display of glucose levels. A minimum system to control the output of data digital value using microcontroller Android nano v.3. Experimentally, testing this module is by comparing the glucose monitoring modules that have been made with a gold standard. The result showed that non-invasive glucose monitoring is the potential for glucose level measurement a sensitivity, resolution, and accuracy of 0.86 mg/dL, 0.01 mg/dL, and 98.96%, respectively. The purposed module of glucose level monitoring offered simple testing for the rapid measurement of glucose levels.
The Effect Of Content Development On Android Applications On Knowledge Of Dietary Prescriptions On Metabolic Syndrome Risk Tetes Wahyu W; Rinda Nur Hidayati; Jumiyati Jumiyati; Atika Hendryani
SANITAS: Jurnal Teknologi dan Seni Kesehatan Vol 13 No 2 (2022): SANITAS Volume 13 Nomor 2 Tahun 2022
Publisher : Politeknik Kesehatan Kemenkes Jakarta II

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36525/sanitas.2022.13

Abstract

Metabolic syndrome is generally defined as meeting 3 (three) of 5 (five) criteria including abdominal obesity, hypertriglyceridemia, low HDL (high density lipoprotein) cholesterol, hypertension and hyperglycemia. About 20-25% of the world's adult population has the metabolic syndrome. The purpose of this study was to determine the effect of the android application on knowledge of dietary prescriptions in the community at risk for metabolic syndrome. The research design is a quasi-experimental study (quasi-experimental study), with a non-randomized control group pre-test - post-test test design that aims to determine the possibility of a causal relationship by intervening or giving treatment to one or more experimental groups, then the results (effect) of intervention was compared with a group that was subjected to different treatments (control group). Characteristics of age (p=0.172), gender (p=0.25) and education (p=0.055). Knowledge before intervention p=0,306 and after intervention p=0,009 in both groups. Knowledge before and after intervention in the case group p=0.0005 and knowledge before and after intervention in the control group p=0.0005. The types of outputs produced in this study are application systems for early detection of metabolic syndrome disease and dietary prescriptions, intellectual property rights and research journal articles. Introducing this android application so that it can be better known to the public in general and developing this android application so that it becomes more interesting and easy to understand.
Sosialisasi Peralatan Elektromedik untuk Deteksi Dini di Masa Pandemi COVID-19 di Kelurahan Cipete Utara, Jakarta Selatan Ma'murotun Ma'murotun; Nur Hasanah Ahniar; Indah Nursyamsi Handayani; Rinda Nur Hidayati; Nursama Heru Apriantoro
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 7, No 1 (2023)
Publisher : LPPM ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2023.v7i1.2319

Abstract

Pada awal Desember 2019, wabah penyakit COVID-19 yang disebabkan oleh sindrom pernapasan akut parah Coronavirus 2 (SARS-CoV-2) terjadi di Kota Wuhan, Provinsi Hubei, Cina. Indonesia kali pertama mendapati kasus pada tanggal 2 Maret 2020 dan DKI Jakarta merupakan provinsi dengan jumlah tertinggi kasus COVID-19. Untuk itu, dibutuhkan satu sistem yang mampu mendukung dan saling bekerja sama gua menghadapi wabah pandemi COVID. Oleh karenanya, Tim PKM, selaku dosen yang memiliki kewajiban melaksanakan Pengabdian Kepada Masyarakat, pada kesempatan ini berupaya memberikan sosialisasi, edukasi, dan informasi terkini mengenai COVID-19 serta pencegahan dini dan kaitannya terhadap penggunaan alat elektromedik (termometer, tensimeter, tes gula darah, nebulizer dan oximeter) untuk pemantauan kesehatan dan perawatan sederhana di rumah di masa pandemi. Kegiatan ini dilaksanakan secara luring dengan mengundang perwakilan kecamatan Kebayoran Baru, kelurahan Cipete Utara, Ketua RW, Ketua RT, dan Satgas COVID-19 di wilayah tersebut. Turut hadir juga kader di setiap RT yang berhubungan langsung dengan masyarakat sehingga bisa memberikan edukasi setelah sosialisasi ini diberikan. Berdasarkan hasil survei, terdapat 20–25% peserta belum memahami fungsi alat elektromedik dan sekitar 57,5% peserta belum memahami penggunaan, penyimpanan, serta pemeliharaan alat elektromedik dengan baik dan benar. Selanjutnya, setelah sosialisasi diberikan, terlihat adanya peningkatan pemahaman peserta lebih dari 60% mengenai fungsi alat nebulizer dan oximeter. Kegiatan selanjutnya yaitu monitoring kader untuk menyampaikan serta memberikan edukasi ke masyarakat sekitar.
Real-time stress detection and monitoring system using IoT-based physiological signals Atika Hendryani; Dadang Gunawan; Mia Rizkinia; Rinda Nur Hidayati; Frisa Yugi Hermawan
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.5132

Abstract

Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body. This research explains that stress detection can be done by analyzing psychological signals and the importance of monitoring stress levels. The authors develop research on stress detection based on psychological signals. The system then processes the recorded data; the android application displays the calculation results. The database can also be accessed as a spreadsheet via a web application. The design of real-time stress detection and monitoring using internet of things (IoT) can work well.
Co-Authors Ahniar, Nur Hasanah Atika Hendryani Atika Hendryani Claricia Alamanda Karenina Dadang Gunawan Fitri Nur Indah Sari Frisa Yugi Hermawan Gando Sari Gita Rindang Lestari Guntur Winarno Hakim, M. Faris Al Handayani, Indah Nursyamsi Henry Prasetyo Jumiyati Jumiyati Ma'murotun Ma'murotun Mia Rizkinia Muhammad Irsal NURSAMA HERU APRIANTORO Raditya Linggar Apriyanto Tetes Wahyu W