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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Proceeding of the Electrical Engineering Computer Science and Informatics Panrita Abdi - Jurnal Pengabdian pada Masyarakat Spektra: Jurnal Fisika dan Aplikasinya Matrix : Jurnal Manajemen Teknologi dan Informatika Jurnal Elektronika dan Telekomunikasi Journal of Information Technology and Computer Engineering MULTINETICS Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan

Riandini Riandini

Politeknik Negeri Jakarta

Author-ID : 2507281

Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

Published : 11 Documents Claim Missing Document

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Perancangan Subrutin Master pada Sistem Waktu Perkuliahan Riandini, Riandini; Hendarto, Is
MULTINETICS Vol 1, No 2 (2015): MULTINETICS Nopember (2015)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.Vol1.No.2.2015.pp.38-42

Subrutin master pada sistem waktu perkuliahan merupakan program penunjang sistem yang berbasis Mikrokontroler. Sistem waktu perkuliahan sendiri merupakan sebuah sistem yang diharapkan dapat menciptakan kedisiplinan waktu kuliah pada Program Studi Teknik Elektronika Industri, dimana sistem tersebut dikontrol dan dimonitor melalui PC dengan menggunakan LabVIEW8.5 yang dihubungkan juga ke Mikrokontroler ATMega8535 melalui komunikasi serial RS232. Perancangan subrutin master dimaksudkan agar Mikrokontroler dapat bekerja sendiri (stand-alone) yaitu tetap menampilkan jam dan mengontrol loudspeaker walaupun sudah tidak ada komunikasi dengan LabVIEW. Prinsip kerjanya adalah subrutin program master akan dieksekusi oleh Mikrokontroler apabila dalam waktu kurang dari 2 detik tidak ada komunikasi dari LabVIEW dan segera mengambil data terakhir dari RTC DS1307 yang telah di-set oleh LabVIEW sesaat sebelum komunikasinya terputus.

Rancangbangun Lengan Robot Pelontar Bola dengan Sistem Pneumatik Fauzi Syahrul Rozak; Riandini Riandini
Electrices Vol 1 No 1 (2019): Volume 1 Nomor 1 Tahun 2019
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/ees.v1i1.2305

Artikel ini membahas tentang lengan robot pelontar bola ke ring dengan sistem pneumatik. Robot pelontar bola ini meniru budaya petani Vietnam bermain lempar bola pada musim panen. Permainan mereka untuk mengungkapkan rasa syukur atas kesuksesan panen. Kini hal tersebut diadopsi menjadi permainan robot yang dipertandingkan pada Kontes Robot ABU Indonesia (KRAI). Lengan robot ini difungsikan sebagai unit penggerak bertugas melontar bola dari zona lempar ke ring. Variasi zona lempar ini dibedakan berdasarkan jarak dan ketinggian terhadap ring dari zona pelemparan. Pelontaran bola ke ring dimaksudkan untuk mendapatkan poin pada pertandingan KRAI. Cara kerja lengan robot pelontar, sensor proximity mendeteksi bola yang dikaitkan pada lengan. Hasil deteksi sebagai input proses Arduino Mega 2560 mengeluarkan output logika diteruskan ke driver ULN2803. Driver mengkontak solenoid valve sehinnga aktuator cylinder pneumatic mendorong piston untuk menggerakan lengan melontar bola. Tujuan artikel adalah uji lengan robot dengan melontar beberapa bola ke ring. Setiap daerah lempar memerlukan konsumsi tekanan udara yang berbeda dipengaruhi jarak dan ketinggian ring. Semakin jauh dan tinggi lemparan maka semakin besar pula konsumsi tekanan yang diperlukan

Feature Extraction and Classification of Thorax X-Ray Image in the Assessment of Osteoporosis Riandini Riandini; Mera Kartika Delimayanti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Previous studies showed that it was possible to have a prediction or an early detection of osteoporosis by measuring the thickness of the cortex of the clavicle of thorax x-ray image. The drawback of this system was that it was still dependent on the operator of subjective vision applications in the measurement. In addition, the accuracy of the system very much relied on the x-ray image quality. Therefore, it is in urgent need of another system which can automatically classify x-ray image and another method of image processing to identify and acknowledge a certain texture of the based image using a set of classes or texture classification given. In this paper, calculation and analysis of a series of image processing algorithms to perform x-ray image classification are done using the K-Nearest Neighbor (KNN) and feature extraction techniques Gray Level Co-occurrence Matrix (GLCM) on small sample size data of 46. Thorax x-ray images of 44 females and 2 males with the average age of 63 years old. T-score of these images had been measured using DEXA scan before as a justification. The proposed method shows that the clavicle cortex thickness measurement using GLCM and KNN method as feature extraction and image classification has its sensitivity of 100% and specificity of 90%. Furthermore, the accuracy which is obtained from the entire implementation capability in correctly assessing osteoporosis is 97.83%. Thus, it is evident that it is significantly correlated with predetermined T-score of DEXA in the assessment of osteoporosis.

PEMANFAATAN SOLAR SEL DAN BUDIDAYA PERIKANAN SEBAGAI UPAYA MENUJU KEMANDIRIAN FINANSIAL DI SEKOLAH KAMI Murie Dwiyaniti; Riandini Riandini; Eddy Supriyono
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 4 No. 2 (2020): Jurnal Panrita Abdi - Juni 2020
Publisher : LP2M Universitas Hasanuddin

Utilization of Solar Cells and Fisheries Culture as Efforts Towards Financial Independence in Sekolah KAMIAbstract. Sekolah Kami is a non-profit school that provides free non-formal education to scavengers and poor children. This school is located in the middle of scavenger shanties and landfills located in Pemulung Village, Bintara Jaya Village, West Bekasi District, Bekasi City. As an informal school that is managed independently, it requires substantial funding for operations. So far, funding has only relied on donors and the personal money of the School owner. So that the purpose of community service, strive for schools to obtain sustainable income for school operations by utilizing solar cells and aquaculture. The method consists of two stages, namely, build physical capital in the form of fish ponds and solar cell electricity sources; train and assist teachers in Sekolah Kami so that they can manage the facilities and infrastructure built. The results of this activity are the construction of fish ponds with 3x1x0.8 meters of cast cement with two ponds for catfish and tilapia, the realization of DC power sources from renewable energy, namely solar cells with 300 WP power for garden lighting, two pond pumps and an aquaponics pump, and aquaponics are built to grow mustard and watercress, and trained teachers can manage everything well. Good yields and sold in the market indicate this. Money from the sale has been used for school operations and buying fish seeds.Keywords: Catfish cultivation, tilapia, financially independent, solar cells, Sekolah Kami.Abstrak. Sekolah Kami merupakan sekolah nonprofit yang menyediakan pendidikan gratis non formal kepada anak-anak pemulung dan dhuafa. Sekolah ini terletak di tengah lapak pemulung dan tempat pembuangan sampah yang berlokasi di Kampung Pemulung Kelurahan Bintara Jaya, Kecamatan Bekasi Barat, Kota Bekasi. Sebagai sekolah informal yang dikelola secara swadaya sangat memerlukan dana yang cukup besar untuk operasional. Selama ini pembiayaan hanya mengandalkan donatur dan uang pribadi pemilik Sekolah. Pengabdian masyarakat ini bertujuan mengupayakan agar sekolah mendapatkan pemasukan secara berkelanjutan untuk operasional sekolah dengan memanfaatkan solar sel dan perikanan budidaya. Metode yang dilakukan terdiri dari dua tahap, yaitu membangun modal fisik berupa kolam ikan dan sumber listrik solar sel; melatih dan melakukan pendampingan untuk guru di Sekolah Kami agar dapat mengelola sarana dan prasarana yang dibangun. Hasil kegiatan ini adalah terbangunnya kolam ikan dengan bahan semen cor berukuran 3x1x0,8 meter sebanyak dua kolam untuk ikan lele dan nila, terwujudnya sumber listrik DC dari energy terbarukan, yaitu solar sel dengan daya 300 WP untuk penerangan taman, dua buah pompa kolam dan satu buah pompa aquaponik, dan terbangunnya aquaponik untuk menanam pokcay dan selada air, serta guru-guru yang telah dilatih dapat mengelola semuanya dengan baik. Hal ini ditandai dengan hasil panen yang cukup baik dan laku dipasaran. Uang hasil penjualan telah digunakan untuk operasional sekolah dan membeli bibit ikan dan pakan. Kata Kunci: Budidaya lele, nila, solar sel, Sekolah Kami.

APLIKASI SISTEM SKRINING MANDIRI BERBASIS WEB DALAM UPAYA MEMBANTU PENANGANAN PANDEMI COVID-19 Sulis Setiowati; Rika Novita Wardhani; Riandini
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 5 No. 4 (2021): Jurnal Panrita Abdi - Oktober 2021
Publisher : LP2M Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/pa.v5i4.11461

Corona virus is a group of viruses that can cause disease in animals or humans. Since the first case was discovered, the spread of COVID-19 in Indonesia has been very fast and massive to date. nowadays, technology and digitization have started to simplify all human jobs. One of them is the covid-19 screening system in various regions. This is very helpful in reducing the rate of spread of the virus, but not all regions can use the system. This community service aims to reduce the spread of COVID-19 in Indonesia, especially in the Beji area, Depok City with a web-based self-screening system application as an effort to detect COVID-19 early. The method used consists of several steps, namely collecting data on the residents who live in Beji, Depok; create a screening website related to travel history and health conditions of residents, especially symptoms of COVID-19. The data collected is used as access to the website to fill in the questions on the screening website. That way, it is hoped that the collection of citizen data can be carried out without physical contact because it can be done in their respective homes, thereby reducing the risk of spreading COVID-19. The result showed that the screening application was effective in assisting the COVID-19 task force in the Beji area in conducting the tracing and screening of its citizens. --- Virus Corona adalah suatu kelompok virus yang dapat menyebabkan penyakit pada hewan atau manusia. Sejak kasus pertama ditemukan, penyebaran COVID-19 di Indonesia sangat cepat dan masif sampai saat ini. Saat ini teknologi dan digitalisasi sudah mulai mempermudah segala pekerjaan manusia. Salah satunya mulai bermunculan sistem skrinning covid-19 diberbagai daerah. Hal ini tentu sangat membantu dalam menekan laju penyebaran virus, akan tetapi belum semua daerah dapat menggunakan sistem tersebut. Pengabdian masyarakat ini bertujuan untuk mengupayakan mengurangi penyebaran COVID-19 di Indonesia terutama di wilayah Beji, Kota Depok dengan aplikasi sistem skrining mandiri berbasis web sebagai upaya deteksi awal COVID-19. Metode yang dilakukan terdiri dari beberapa tahap yaitu mendata warga yang bertempat tinggal di Beji, Depok; membuat website skrinning terkait riwayat perjalanan dan kondisi kesehatan warga terutama gejala COVID-19. Data yang dikumpulkan tadi digunakan sebagai akses masuk kedalam website untuk setiap warga yang nantinya akan diminta untuk mengisi pertanyaan pada website skrinning tersebut. Dengan begitu diharapkan pengumpulan data warga dapat dilakukan tanpa adanya kontak fisik karena dapat dilakukan di rumah masing-masing sehingga mengurangi resiko penyebaran COVID-19. Dari hasil uji coba sistem, didapati bahwa aplikasi skrinning efektif dalam membantu satgas COVID kelurahan Beji dalam melakukan tracing dan screening terhadap warganya.

Active Filter Analysis on Designing Electronic Stethoscope Prihatin Oktivasari; Riandini Riandini; Rahmah A. Fitri; Sungguh I. Malaon
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.51-56

Early heart disease detection could be vital and some other diagnostic ways are being developed. In this paper, a lowcost tool for a diagnostic that analyzes the digitized heartbeat sound is given. This can be used to detect heart anomalies. The instrument shows the heart sound and also keeps a patient's long-term record for future use. The signal from the heart provides a lot of knowledge about the heart and offers an initial diagnosis recommendation. The electronic stethoscope uses the condenser microphone, preamplifier circuit, and filter circuit. The optimum filter is Butterworth with a fourth-order Sallen key low pass filter topology with a gain of 0.707 volts, -3.01 dB, and a fourth-order high pass filter with a gain of 0.782 volts, -2.137 dB. The frequency of the heart sound is about 20 Hz – 120 Hz in general. Therefore, the lower cutoff frequency of the filter is set to 20 Hz, while the higher cutoff frequency set to 120 Hz. The evaluation used to measure the performance of an electronic stethoscope is to compare with a conventional stethoscope, the recorded sound is the same.

THE BONE MICROSTRUCTURE IDENTIFICATION MODEL BASED ON BACKSCATTER MODE OF ULTRASOUND Umiatin Umiatin; Tora Oktaviana; Endang Wijaya; Riandini Riandini; Farhan Yusuf
Spektra: Jurnal Fisika dan Aplikasinya Vol 6 No 1 (2021): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 6 Issue 1, April 2021
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.061.07

Osteoporosis is defined by a decrease in bone mass and a deterioration in bone microstructure. It is a major public health issue and a significant economic burden for both individuals and society. Thus, monitoring bone mass and structure is necessary to prevent bone fragility and osteoporosis. This study aimed to develop a prototype of quantitative ultrasound (QUS) and to evaluate the feasibility of backscatter mode for the bone assessment. Ultrasound (US) signals that propagate through the bone can be characterized by comparing the signal from both transmitter and receiver transducers. The US backscattered signal depends on the characteristic of both medium and transducer. In this study, we analyzed the attenuated signal based on the parameters: type of bone (compact and spongy), type of coupling medium (air, starch, and gel), the angle between transducers and bone (30o, 60o, and 90o), and transducer distance (0, 10, 5, 15, 20 and 25 cm). We use only 1 MHz transducer frequency. The prototype has been evaluated by Digital Oscilloscope and LabVIEW user interface to observe received signals. The results of this study showed that there was a difference in amplitude of the US signal from compact and spongy bones. The amplitude is directly proportional to acoustic impedance and inversely proportional to the distance between transducers. There is a negative correlation between bone microstructure to attenuation, and compact bones have a greater attenuation coefficient than spongy bones.

Pengisian Muatan Baterai Automated Guided Vehicle (AGV) Otomatis Berbasis Arduino Mega 2560 Riandini Riandini; Muhammad Angga Aji Bagus Pangestu; Ghaisani Yasmin
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 9 No 2 (2019): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Baterai sebagai sumber tenaga utama AGV memiliki kapasitas muatan listrik terbatas sehingga perlu diisi ulang. Alat pengisi muatan baterai AGV konvensional memerlukan bantuan operator untuk melakukan pengisian sehingga kurang efektif dan efisien. Alat tersebut juga tidak memiliki sistem pengirim status pengisian muatan. Operator AGV umumnya melakukan pemantauan pada beberapa charging station yang sedang beroperasi di lokasi yang berbeda. Kelalaian operator dalam melakukan pemantauan dapat berakibat buruk pada kinerja AGV. Oleh karena itu, dibuat alat pengisi muatan baterai AGV otomatis menggunakan Arduino Mega 2560 yang dilengkapi sistem pewaktu dan sistem pengiriman status pengisian, agar dapat melakukan pengisian sesuai waktu yang dibutuhkan dan dapat ditindaklanjuti bila terjadi kegagalan atau kesalahan pada pengisian muatan baterai. Waktu pengisian dapat diatur melalui HMI. Status pengisian dikirim melalui SMS ke handphone operator menggunakan Modul GSM SIM900.

Prediction of Digital Eye Strain Due to Online Learning Based on the Number of Blinks Riandini Riandini; Satria Arief Aditya; Rika Novita Wardhani; Sulis Setiowati
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 2: June 2022
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v10i2.3500

Eye strain is a big concern, especially when it comes to continuous and prolonged online learning. If this is allowed to continue, it will result in Computer Vision Syndrome, also known as Digital Eye Strain (DES), which includes headaches, blurred vision, dry eyes, and even neck and shoulder pain. This condition can be observed either directly based on excessive eye blinking or indirectly based on observations of the electrical activity of eye movements or electrooculography (EOG). The observed blink signal from the EOG, as a representation of eye strain, is the focus of this study. Data acquisition was obtained using the EOG sensor and was carried out on the condition that the participants were conducting online learning activities. There are four different modes of observation taken in succession: when the eye is in a viewing state but without blinking, when the eye blinks intentionally, when the eye is closed, and finally when the eye sees naturally. Observation time is 10s, 20s and 30s, where each interval is performed three times for every mode. The obtained signal is processed by the proposed method. The resulting signal is then labeled as a Blinking signal. Determination of the number of blinks or CNT_PEAK is the result of training this signal by tuning its threshold and width. If the number of blinks is less than or more than 17 then the system will provide a prediction of eye status which is stated in two categories, the first is normal eye while the last is eye strain or fatigue.

Dental caries classification using depthwise separable convolutional neural network for teledentistry system Trie Maya Kadarina; Zendi Iklima; Rinto Priambodo; Riandini Riandini; Rika Novita Wardhani
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4428

Caries may be halted or reversed in their progression by early detection, better hygiene habits, and coadministered drugs. The major clinical procedures for identifying dental caries are visual-tactile examination and dental radiography. However, due to their location, approximate caries exceedingly difficult to detect and affect the clinical assessment. Incorrect interpretations may also hinder the diagnostic procedure. Computational approaches and technology can be used to help dentists assess caries. Teledentistry has the ability to improve dental health care by providing access to dental care services from a remote location. Teledentistry helps identifying various stages of caries lesions using neural network and devices connected to the internet. This research develops an image classification for teledentistry systems using depthwise separable convolutional neural network. The trainable parameters reduction of depthwise separable convolution (DSC) successfully reduces the computational cost of conventional convolutional neural networks (CNN). As a result, the DSC model is reduced by 91.49% when compared to the traditional CNN model. Several DSC models improve conventional CNN accuracies in the training, validation, evaluation, and testing stages.

Co-Authors Eddy Supriyono Endang Wijaya Farhan Yusuf Fauzi Syahrul Rozak Ghaisani Yasmin Hendarto, Is Indah Luthfiyyah Purwanti Mera Kartika Delimayanti Muhammad Angga Aji Bagus Pangestu MURIE DWIYANITI1 Noval Andriansyah Prihatin Oktivasari Rahmah A. Fitri Rika Novita Wardhani Rinto Priambodo Satria Arief Aditya Sulis Setiowati Sungguh I. Malaon Tora Oktaviana Trie Maya Kadarina Umiatin, Umiatin Via Arsita Sari Zendi Iklima

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