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All Journal CommIT (Communication & Information Technology) Jurnal Teknologi Jurnal Pseudocode JURNAL NASIONAL TEKNIK ELEKTRO Journal of Robotics and Control (JRC) Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer METAL : Jurnal Sistem Mekanik dan Termal Abdi Reksa
Indra Agustian
Universitas Bengkulu
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Sistem Peringatan Awal Resiko Preklamsia pada kehamilan menggunakan metoda Certainty Factor dan Android Fitrilina Fitrilina; M. Albbi; Indra Agustian; Afriyastuti Herawati; Nikki Aldi Massardi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 1: March 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.776 KB) | DOI: 10.25077/jnte.v10n1.896.2021

Abstract

The mortality rate for pregnant women due to preeclampsia is still quite high in Indonesia in general and Bengkulu province in particular. There is no effective method to prevent preeclampsia, but early detection can help for proper treatment. Monitoring the condition of pregnancy is very important but the COVID-19 pandemic has prevented pregnant women to go to health facilities. Therefore, a pregnancy condition monitoring system was designed for early detection of preeclampsia using the android-based Certainty Factor method. The system designed consists of a blood pressure measuring device and an expert system. The device uses an MPX5500 pressure sensor, highpass Butterworth filter and an Arduino connected to an android smartphone via Bluetooth. The expert system will diagnose that pregnant women are at risk of preeclampsia or hypertension in pregnancy without the risk of preeclampsia. The blood pressure measuring  device works with an average difference to the aneroid sphygmomanometer of 7.05 mmHg with an error of 6.24% at systolic pressure and 10.15 mmHg with an error of 13.13% at diastolic pressure. The result of expert system diagnosis has an accuracy of 91.45%. So it can be said that the designed system can be used Keywords : Preeclampsia, Blood Pressure Device, Certainty Factor MethodAbstrakAngka kematian Ibu hamil (AKI) karena preeklampsia masih cukup tinggi di Indonesia umumnya dan provinsi Bengkulu khususnya. Belum ada metoda yang efektif untuk mencegah terjadinya preeklampsia, tetapi deteksi dini dapat menolong untuk penanganan dan pengobatan yang cepat dan tepat. Monitoring kondisi kehamilan sangat penting, tetapi pandemi COVID-19 menyebabkan ibu hamil tidak dianjurkan untuk ke fasilitas kesehatan. Oleh karena itu dirancang sistem monitoring kondisi kehamilan untuk deteksi dini preeklampsia menggunakan metoda Certainty Factor berbasis Android. Sistem ini terdiri dari alat ukur tekanan darah dan sistem pakar. Alat ukur tensimeter menggunakan sensor tekanan MPX5500, filter high pass butteworth dan mikrokontroller Arduino terhubung ke smartphone android melalui Bluetooth. Sistem pakar akan mendiagnosa ibu hamil beresiko preklampsia atau hipertensi dalam kehamilan tanpa resiko preklamsia. Alat ukur tekanan darah yang dirancang untuk mendukung sistem, bekerja dengan rata-rata selisih terhadap pengukuran tensimeter aneroid sebesar 7,05 mmHg dengan galat 6,24 % pada tekanan sistolik dan 10,15 mmHg dengan galat 13,13 % pada tekanan diastolik. Hasil diagnosa sistem pakar memiliki akurasi sebesar 91,45 %. Sehingga dapat dikatakan bahwa sistem yang dirancang telah dapat digunakan.Kata Kunci : Preklamsia, tensimeter, sistem pakar certainty factor
Klasifikasi Level Non-Proliferatif Retinopati Diabetik Dengan Ensemble Convolutional Neural Network Ruvita Faurina; Endina Putri Purwandari; Mario Tiara Pratama; Indra Agustian
Jurnal Pseudocode Vol 8, No 1 (2021): Volume 8 Nomor 1 Februari 2021
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.898 KB) | DOI: 10.33369/pseudocode.8.1.1-10

Abstract

Penelitian ini mengusulkan algoritma CNN ensemble classifier untuk klasifikasi level non-proliferatif Retinopati diabetik. Penelitian ini menggunakan metode transfer learning feature-extraction, dan membandingkannya dengan fine-tuning. Pada lapisan pertama lapisan klasifikasi, dibandingkan penggunaan lapisan GAP dan Flatten dengan menggunakan metode dropout. Mode terbaik digunakan sebagai mode final klasifikasi. Arsitektur yang digunakan adalah DenseNet201, InceptionV3 dan MobileNetV2, Masing-masing model diuji dengan optimasi SGD dan ADAM. Keputusan prediksi diambil berdasarkan metode average voting. Hasil pengujian masing-masing arsitektur menunjukkan hasil terbaik adalah fine tuning, GAP, dan optimasi ADAM. Model final fine-tuning DenseNet201, InceptionV3 dan MobileNetV2 dapat mengklasfikasi level retinopati diabetik dengan akurasi pada data uji masing-masing 93%, 94% dan 89%. Sedangkan performa klasifikasi model ensemble untuk masing-masing kelas memiliki akurasi terendah 95,6% dan F1-Score terendah 91.3%.Kata Kunci: retinopati diabetik, deep learning, convolutional neural network, ensemble classifier, DenseNet201,  InceptionV3, MobileNetV2.
Sistem Kendali Suhu Mesin Tetas Telur Ayam Buras Menggunakan Kontroler PID dengan Metode Tuning Ziegler Nichols Open Loop Step Response Indra Agustian; Dian S Prakoso; Ruvita Faurina; Novalio Daratha
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 12 No. 1 (2022): Amplifier Mei No 1 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v12i1.21535

Abstract

An egg incubator is a tool that helps the process of hatching eggs using an electric heater and is equipped with an egg rack that functions to evenly distribute the heat in the incubator. Good temperature control in the hatching process is something that greatly affects the hatching results. In this study, an egg incubator temperature control system was designed using the PID method with the Ziegler Nichols Open Loop Step Response tuning method. The control system is specifically for free-range chicken eggs which require a normal temperature of 37 °C-39 °C. The main control components are the microcontroller, the incandescent lamp heater, and the DHT22 temperature sensor. The open loop test shows a time delay of 20 seconds and a time constant of 385 seconds, so with the Ziegler Nichols open loop tuning method, the values of Kp = 23.1, Ki = 40, and Kd = 10. The test results show that the PID controller can control the temperature properly. In testing the hatching process within 21 days, the temperature control worked well, and the effect of changes in day and night temperature did not significantly affect the performance of the PID controller.
Meja Getar dengan Sistem Tiga Penggerak Pneumatik untuk Skala Laboratorium Dedi Suryadi; Hade Syamitra; Ahmad Fauzan; Novalio Daratha; Indra Agustian
METAL: Jurnal Sistem Mekanik dan Termal Vol 5, No 1 (2021): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2534.521 KB) | DOI: 10.25077/metal.5.1.44-50.2021

Abstract

This study aims to develop a laboratory scale shaking table that can simulate vibrations level by using PLC as controller. Mechanism of the shaking table consists of cylinder pneumatic drive system, where the movement comes from 3 of pneumatic cylinders connected to the solenoid vale later controlled using PLC OMRON CP1L. Therefore, it can produce vertical and horizontal translational movements. Dynamic response can be obtained by varying frequency of 1 Hz, 2 Hz, 3 Hz, 4 Hz, and 5 Hz. Moreover, loads are also varied by 1kg, 2kg and no load. The results of this study indicate that the shaking table is successfully developed that can perform 2 types of translational movements in the vertical and horizontal direction that operate at a frequency of 1 Hz to 5 Hz with maximum load of 2 kg. Amplitude of shaking table increases by decreasing frequency input and loading value. Also, amplitude increases by decreasing value of the valve openings.
NFT Hydroponic Control Using Mamdani Fuzzy Inference System Indra Agustian; Bagus Imam Proayoga; Hendy Santosa; Novalio Daratha; Ruvita Faurina
Journal of Robotics and Control (JRC) Vol 3, No 3 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i3.14714

Abstract

The Nutrient Film Technique (NFT) method is one of the most popular hydroponic cultivation methods. This method has advantages such as easier maintenance, faster and optimal plant growth, better use of fertilizers, and less deposition. The disadvantages of NFT include the consumption of electrical power and the faster spread of disease. Therefore, NFT requires a good nutrient control and monitoring system to save electricity and achieve optimal growth and resistance to pests and diseases. In this study, a nutrient control was designed with indicators of pH and TDS levels and equipped with an Internet of Things (IoT) based monitoring system. The control system used is the Mamdani Fuzzy Inference System. The output of the system is the active time of the pH Up, pH Down, and AB Mix nutrient pumps, which aim to normalize the pH and TDS of nutrient liquids. The experimental results show that one to three control steps are needed to normalize pH. One control step has a response time of 60 seconds, and it can prevent pH Up and pH Down oscillations. As for TDS control, the prediction of AB mix pump active time works accurately, and TDS levels can be normalized in one control step. Overall, based on surface control, simulations, and real experimental data, it is indicated that the control system operates very well and can normalize pH and TDS to the desired normal standard.
Automatic Fish Identification Using Single Shot Detector Arie Vatresia; Ruvita Faurina; Vivin Purnamasari; Indra Agustian
CommIT (Communication and Information Technology) Journal Vol. 16 No. 2 (2022): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v16i2.8126

Abstract

The vast sea conditions and the long coastline make Bengkulu one of the provinces with a high diversity of marine fish. Although it is predicted to have high diversity, data on the diversity of marine fish on the Bengkulu coast is still very limited, especially in the process of fish species detection. With the development and expansion of computer capabilities, the ability to classify fish can be done with the help of computer equipment. The research presents a new method of automating the detection of marine fish with a Single Shot Detector method. It is a relatively simple algorithm to detect an object with the help of a MobileNet architecture. In the research, the Single Shot Detector used is six extra convolution layers. Three of the extra layers can generate six predictions for each cell. The Single Shot Detector model, in total, can generate 8,732 predictions. The research succeeds in identifying seven from ten genera of marine fish with a total dataset of 1,000 images, with 90% training data and 10% validation data. Each fish genus has 100 images with different shooting angles and backgrounds. The results show that the Single Shot Detector model with MobileNet architecture gets an accuracy value of 52.48% for the identification of 10 genera of marine fish.
RANCANG BANGUN ALAT PENDETEKSI DINI OVER HEAT MESIN KENDARAAN MELALUI SUHU AIR PENDINGIN Alex Surapati; Arif Kurnia; Indra Agustian
Jurnal Teknologi Vol 15, No 1 (2023): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.15.1.33-42

Abstract

There is currently no cooling system in the vehicle's engine using voice and display instructions that warn the driver that the engine's working temperature has passed a predetermined threshold. To overcome the problems described previously, research was carried out. The result of this research is a tool or device that can detect if there is overheating in the vehicle engine using the DS18B20 sensor. In this tool a warning system is given with voice commands and a display that shows the state of the engine's working temperature at that time. In this study, the Kalman Filter method was used to reduce noise in temperature measurements by the DS18B20 sensor. The results of measuring changes in the average temperature using the Kalman Filter method are 0.019 ° C and without the Kalman Filter method are 0.58 ° C. Based on the results of these comparisons using the Kalman Filter method the temperature measurement noise obtained is smaller.
PENGEMBANGAN WEBSITE TOURISM DAN PEMANFAATAN IKLAN UNTUK PROMOSI WISATA DESA RINDU HATI Ruvita Faurina; Julia Purnama Sari; Indra Agustian
Abdi Reksa Vol. 3 No. 1 (2022)
Publisher : UNIVERSITAS BENGKULU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/abdi reksa.3.1.23-35

Abstract

Desa Rindu Hati merupakan salah satu desa yang terletak di Kecamatan Taba Penanjung, Kabupaten Bengkulu Tengah. Desa ini fokus mengembangkan pembangunan pada sektor wisata yang ada di Bengkulu Tengah. Hal ini dikarenakan di desa ini terdapat berbagai objek wisata yang indah dan menarik yang dapat menjadi daya jual desa kepada masyarakat lokal maupun mancanegara. Potensi tersebut harus lebih diekspos ke publik agar meningkatkan pendapatan daerah setempat.Dari permasalah yang sedang dihadapi saat ini, kami berencana membuat sebuah website sebagai media promosi dan pemesanan objek wisata yang ada di Desa Rindu Hati. Website ini diharapkan dapat menjadi sebuah solusi dalam promosi objek wisata agar lebih dikenal baik dari wisatawan lokal maupun mancanegara.
Co-Authors Afriyastuti Herawati Ahmad Fauzan Arie Vatresia Arif Kurnia Bagus Imam Proayoga Dedi Suryadi Dian S Prakoso Endina Putri Purwandari Fitrilina Fitrilina Hade Syamitra Hendy Santosa Julia Purnama Sari M. Albbi Mario Tiara Pratama Nikki Aldi Massardi Novalio Daratha Ruvita Faurina Surapati, Alex Vivin Purnamasari