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Rancang Bangun Alat Pengukur pH Saliva pada Penderita GERD Terintegrasi Internet of Things Dilent, Steffany; Nurussa’adah, n/a; Abidin, Zainul
Jurnal Mahasiswa TEUB Vol. 13 No. 6 (2025)
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Gastroesophageal Reflux Disease (GERD) adalahpenyakit gastrointestinal dengan prevalensi tinggi yangkomplikasinya dapat berakibat fatal jika gejalanya diabaikan.Metode deteksi seperti endoskopi bersifat invasif, mahal, dantidak praktis untuk pemantauan mandiri. Penelitian inibertujuan untuk merancang dan membangun sebuah prototipealat ukur pH saliva non-invasif berbasis Internet of Things(IoT) sebagai metode deteksi dini peningkatan asam lambungpada penderita GERD. Sistem ini menggunakan sensor pHE201-C, mikrokontroler ESP32, dan terintegrasi denganaplikasi Android untuk visualisasi data. Beberapa penelitianmenunjukkan bahwa terdapat perbedaan antara pH salivapada manusia non-GERD yaitu, 6,4 hingga 7,6 dan GERDyaitu 4,9 hingga di bawah 6,5. Data pH diklasifikasikan kedalam tiga kategori: Sehat (6,5 < pH < 7,6), Cenderung Asam(4,9 < pH < 6,5), dan Sangat Asam (pH < 4,9). Hasil pengujianmenunjukkan sensor pH E201-C memiliki akurasi sebesar97,90% setelah kalibrasi. Uji coba pada subjek manusiaberhasil menunjukkan perbedaan signifikan antara pH salivapenderita GERD (pH < 6,5) dan subjek sehat (pH > 6,5), sesuaidengan klasifikasi yang telah ditentukan. Prototipe ini terbuktifungsional dan berpotensi sebagai alat bantu pemantauanmandiri yang terjangkau bagi penderita GERD.Kata Kunci— GERD, PH Saliva, Internet of Things (IoT),Pemantauan Non-Invasif, Sensor PH E201-C.
Rancang Bangun Alat Uji Kadar Gula dan Tingkat Keasaman Minuman Terintegrasi Internet of Things Puspita, Karina Ayu; Nurussa’adah, n/a; Kusmaryanto, Sigit
Jurnal Mahasiswa TEUB Vol. 13 No. 6 (2025)
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Penelitian ini bertujuan untuk merancang danmengimplementasikan alat uji kadar gula dan tingkatkeasaman pada minuman secara real-time berbasisteknologi Internet of Things (IoT). Sistem ini memanfaatkansensor kapasitif untuk menguji kadar gula menggunakanmetode regresi linier dan sensor pH 4502C untuk mengukurtingkat keasaman. Data hasil pengukuran diproses olehArduino Uno dan dikirim ke ESP32 untuk ditampilkanmelalui layar TFT 2.8 inci serta dikirim secara daring keplatform Blynk. Hasil pengujian menunjukkan bahwasensor kapasitif memiliki akurasi sebesar 97.21% untuklarutan gula dan 97% pada minuman kemasan, sedangkansensor pH mencapai akurasi 98.32% dibandingkan denganpH meter digital. Sistem ini juga menunjukkan keandalandalam mengirimkan data secara stabil melalui jaringan WiFi. Hasil ini membuktikan bahwa sistem yang dirancangdapat digunakan sebagai alat uji kualitas minuman secaraefektif dan real-time.Kata Kunci: Sensor Kapasitif, Sensor pH, Kadar Gula
RANCANG BANGUN TIMBANGAN DIGITAL KOPI BERBASIS INTERNET OF THINGS UNTUK PENCATATAN DAN OTOMATISASI PENGURANGAN STOK BAHAN Wicaksono, Ferdiansyah; Maulana, Eka; Nurussa’adah, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 5 (2024)
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The development of the coffee industry in Indonesia is growing rapidly. In the coffee industry, the quality and consistency of coffee flavor is very important where the right proportion of coffee and other additives is a major factor. In addition, operational efficiency in the coffee industry is also important to maintain competitiveness and optimal profits. This can be achieved by managing material stock and recording accurate weighing results so that stock opname activities are needed. One of the coffee shops that implement stock opname in Malang City is Toko Kopi Jaya. The calculation of existing material stock at Toko Kopi Jaya is currently still carried out in a conventional way where the basic ingredients of drinks such as espresso and milk are weighed manually at the end of operating hours. Manual calculations cause problems, such as errors in recording the results of weighing the stock of ingredients. The Internet of Things (IoT) can provide many innovative solutions to improve efficiency in various industries. In the context of the coffee industry, the application of IoT technology to digital scales can provide an effective solution to overcome the problem of inefficient calculation of the current stock of ingredients. The design of IoT-based coffee digital scales was successfully carried out for the automation of material stock reduction using the main components in the form of load cell sensors, HX711 modules, LCDs, and push buttons controlled by ESP8266. The reading data from the load cell sensor is received by ESP8266 and sent to Google Sheet. The load cell sensor used in this IoT-based digital scale has an accuracy rate of 99.964% and the system has an accurate rate of 99.7%. The integration system of IoT-based digital coffee scales with Google Sheet via Wi-Fi connection allows real-time recording of material usage and automatic reduction of material stock. Keyword: scale, Internet of Things, Stock Opname
RANCANG BANGUN ALAT BANTU NAVIGASI BAGI PENYANDANG TUNANETRA MENGGUNAKAN ESP CAM DAN SENSOR TOF DENGAN METODE IMAGE PROCESSING Kurniawan, Beni; Nurussa’adah, n/a; Rahmadwati, n/a
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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The sense of vision plays a crucial role in daily activities, with 80-85% of information being received through sight. Visually impaired individuals face challenges in mobility and accessing information, particularly because aids such as canes cannot effectively detect or classify objects. According to data from WHO (2019) and the Indonesian Ministry of Health (2018), millions of people worldwide, including in Indonesia, experience visual impairments. This study designs a navigation aid for visually impaired individuals using an ESP Cam and a ToF sensor integrated with an ESP32-S3 microcontroller to detect and classify objects around the user. Testing results show high detection accuracy for backgrounds (99%) and stairs (100%), but improvements are needed for detecting humans (33.3%) and chairs (25%). The ToF sensor successfully detected distances with a low average error (0.1 cm) and a small standard deviation (0.78 cm), making the device reliable in supporting the mobility of visually impaired individuals.Keywords: Visually Impaired, Assistive Device, ESP Cam, ToF Sensor, Image Processing
Rancang Bangun Smart Aquarium Menggunakan Metode Fuzzy Logic Mamdani untuk Ikan Botia Berbasis Internet of Things Faturrahman, Vieri; Nurussa’adah, n/a; Maulana, Eka
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Botia fish are freshwater ornamental fish with high visual appeal and economic value. However, this species is currently threatened due to overfishing and challenges in breeding. Botia fish typically thrive in optimal environments with a pH range between 5.0 - 7.5, temperatures of 24-31°C, and good water quality management, including dissolved water particles. Suitable parameters can enhance the fish’s skin color and maintain their health. Therefore, this research aims to design and implement an Internet of Things (IoT)-based Smart Aquarium system using the Mamdani Fuzzy Logic method to improve the maintenance of Botia fish. The system monitors and controls water quality in real-time, including water temperature, dissolved particles, water pH, and manages automatic feeding. In this study, the methods employed include system flowchart design, equipment specifications, and hardware development using an Arduino Uno microcontroller and ESP8266. Sensors such as the temperature sensor (DS18B20), pH, and TDS were installed to measure aquarium conditions, while actuators like heaters, fans, peltier modules, servos, buzzers, and pumps were used to control the state of the Smart Aquarium. The results of this study showed an average accuracy of sensors, actuators, and the system above 97,136 % and demonstrated the system’s ability to regulate temperature and water quality optimally for Botia fish. This research is expected to provide an innovative solution for the challenges of Botia fish maintenance in the context of a sustainable environment.Keywords: The Botia fish, Smart Aquarium, Internet of Things, Mamdani Fuzzy Logic
RANCANG BANGUN SISTEM PENDINGIN PELTIER DAN MONITORING SUHU PADA PANEL SURYA Khalid, Muhamad; Nurussa’adah, n/a; Maulana, Eka
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Solar energy as a sustainable renewable energy source has become a major focus in energy technology research and development. Solar panels that convert solar energy into electricity are important role in this energy transition. The performance of solar panels is measured through output parameters such as voltage and current, which are influenced by several factors, especially temperature. Every 1°C (from 25°C) increase will result in a decrease in power of 0.25% to 0.5%. Therefore, this research aims to design a peltier cooling system using the Thermoelectric Cooler TEC1-12706 to reduce the temperature of solar panels and increase the power produced. This system is equipped with an MLX90614 temperature sensor to monitor and limit the effect of cooling, and an INA219 current and voltage sensor to monitor panel performance. Data can be accessed in real time through the Blynk application. The study was conducted on December 13 – 18, 2024 at 10.00 WIB – 11.00 WIB at coordinates 7°57'03.8"S 112°37'41.4"E. The results showed that temperature measurements using the MLX90614 has an accuracy range of 99.70% to 99.94%. Meanwhile, current and voltage measurements using the INA219 has an accuracy range of 99.17% to 100% and 99.33% to 100%. The performance results of the Blynk application as a monitor function well by being able to display values and graphs of current, voltage, temperature, power and cooling indicators. This system has a power requirement of 44.37 W, with the highest temperature drop of 13.78%, the highest current increase of 7.69%, the highest voltage increase of 3.89%, and the highest power increase of 11.82% after using the peltier cooling system. However, the increase in power generated is not proportional to its power usage. Keywords: Solar panel, cooling system, Thermoelectric Cooler, MLX90614, INA219, Blynk. 
RANCANG BANGUN MONITORING DENGAN METODE KLASIFIKASI ASYMMETRY INDEX BAGI PENDERITA TEMPOROMANDIBULAR DISORDER TERINTEGRASI INTERNET OF THINGS Bagasunni’am, Moh. Hibaturrohman; Nurussa’adah, n/a; Purnomowati, Endah Budi
Jurnal Mahasiswa TEUB Vol. 12 No. 6 (2024)
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Temporomandibular Disorder (TMD) is a condition that causes pain in the orofacial area and musculoskeletal system with a prevalence of 5% to 12% in adults. TMD is common due to lack of awareness of the disease, even though its impact can severely disrupt the daily activities of the sufferer. It can cause periodic or constant pain in the stomatognathic system, namely the Temporomandibular Joint (TMJ) which is the most frequently used part of the body (eating and speaking), patients can experience limited jaw motion, impaired joint function, muscle pain, joint pain, facial pain, and pain when opening the jaw. The sooner it is detected, the faster the treatment for this disease. However, the frequency of monitoring TMJ health conditions is rarely done. Currently, the only methods used are Xray diagnosis or panaromic radiography and the resulting data does not always provide accurate information. When viewed from an economic point of view, the cost required for detection is considered quite expensive and requires a long process. Through these problems, technology is needed that can detect the patient's condition non-invasively and routinely. The technology needed can mainly record the activity of the masseter and temporalis muscles by utilizing Electromyography (EMG) sensors that can be connected to an Android-based monitoring application. And can provide a classification of the severity of the patient with the Asymmetry Index method and provide education in reducing these risk factors. This innovation has been tested on 15 patients with a classification accuracy rate of 86.7% compared to the results of the doctor's diagnosis. In testing the system monitoring application, the average data transmission time is faster using the 5 GHz network than 2.4 GHz, but the difference is very small and almost invisible, namely 0.255 seconds. These results show that this TMD monitoring tool is effective for detecting and monitoring TMD conditions on an ongoing basis, reducing dependence on invasive methods and assisting users in classifying TMD conditions.Keywords : Temporomandibular Disorder (TMD), Internet of Things, Asymmetry Index, Electromyography (EMG), Monitoring
MENINGKATKAN EFISIENSI MESIN EKSTRAKSI BETA KAROTEN DENGAN ULTRASONIC TRANSDUCER ARRAY BERBASIS ARDUINO UNO Hamzah, Ilham Fathurrahman; Nurussa’adah, n/a; Al Riza, Dimas Firmanda
Jurnal Mahasiswa TEUB Vol. 13 No. 1 (2025)
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Industri pangan Indonesia berkontribusi besar terhadap PDB dengan pertumbuhan tahunan 3,57%, namun keamanan pangan menjadi perhatian akibat penggunaan pewarna sintetis terlarang seperti rhodamin B dan methanyl yellow. Keterbatasan produksi pewarna alami menjadi tantangan, meski Indonesia kaya akan pigmen alami seperti beta karoten, pigmen antioksidan yang menghasilkan warna kuning hingga oranye. Beta karoten dapat diekstraksi dari komoditas seperti labu kuning (Cucurbita moschata), namun metode ekstraksi konvensional seperti maserasi membutuhkan waktu lama, sementara metode ultrasonik tanduk getar berbiaya tinggi dan berisiko degradasi senyawa. Solusi inovatif berupa mesin ekstraksi berbasis ultrasonic transducer array dengan Arduino Uno dikembangkan, terdiri atas reaction chamber, cooling chamber, dan control panel. Mesin ini, dengan daya 266 watt, menghasilkan kadar beta karoten tertinggi sebesar 4941,12 µg/g, lebih efisien dibanding teknologi lain. Mesin ini memaksimalkan hasil ekstraksi serta mengefisiensikan waktu, biaya, dan penggunaan bahan ekstraksi.Kata Kunci—Beta Karoten, Mesin Ekstraksi, Pewarna, Pewarna Alami, Labu Kuning. 
RANCANG BANGUN ALAT TERAPI TEMPOROMANDIBULAR DISORDER MENGGUNAKAN METODE TRANSCUTANEOUS ELECTRICAL NERVES STIMULATION (TENS) BERBASIS TELEDENTISTRY TERINTEGRASI INTERNET OF THINGS (IoT) Kusuma, Rizki Bagus Hadi; Nurussa’adah, n/a; Ambarwati, Rusmi
Jurnal Mahasiswa TEUB Vol. 13 No. 1 (2025)
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A disease characterized by craniofacial pain involving the joints, masticatory muscles, or muscles that innervate the head and neck is temporomandibular disorder (TMD). TMD is a major cause of pain in the orofacial region that is non-dental in nature. One of the factors causing TMD is hyperactivity of the muscles around the face. TMD often comes on suddenly, resulting in a decrease in the patient's quality of life, as it significantly interferes with the patient's ability to perform daily tasks such as eating, speaking, or yawning. An existing tool is Transcutaneous Electrical Nerve Stimulation (TENS) as one of the effective non-invasive, non-drug physical therapy techniques for the treatment of TMD. However, there are problems experienced at this time TENS has not been able to provide spontaneous and longterm therapy equipped with a monitoring application for the doctor in charge, so that its use remains under the supervision of a doctor. Through these problems, a technology is needed using the TENS method non-invasively accompanied by an Internet of Things (IoT) integrated doctor monitoring application. This innovation has been tested the functionality of the tool to determine the performance of the tool. In the output test, the percentage error and standard deviation of frequency 0.19% and 0.391 and voltage 0.075% and 0.1268 were obtained. TENS therapy testing results in a decrease in pain of 58%. The test results of internet data transmission of two different Access Point Bands with an average delivery time of 1.98 and 1.7 seconds.Keywords : temporomandibular disorder, TENS, Non-Invasive, Internet of Things
RANCANG BANGUN ALAT MONITORING TEMPOROMANDIBULAR DISORDER BERSIFAT NON-INVASIVE MENGGUNAKAN SENSOR ELEKTROMIOGRAFI (EMG) DILENGKAPI APLIKASI PEMANTAUAN PADA SMARTPHONE Akbar, Handal Wally; Nurussa’adah, n/a; Ambarwati, Rusmi
Jurnal Mahasiswa TEUB Vol. 13 No. 1 (2025)
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Temporomandibular disorders (TMD) are characterized by craniofacial pain involving the joints, masticatory muscles, or muscles that innervate the head and neck. TMD can significantly reduce a person's quality of life such as eating and speaking, as well as affect the growth and development of the jaw and face. The main goals of TMD patient management are to reduce pain, reduce functional and parafunctional activities that cause abnormalities, and improve normal function. However, the lack of non invasive tools to measure the condition of muscle activity that parameterizes the severity of TMD is still a problem that exists today. Through this problem, a technology is needed that can monitor masseter and temporalis muscle activity by utilizing Electromyography sensors that can be connected to a monitoring application. The required technology can also provide classification of TMD severity conditions of patients using the asymmetry index method. This innovation has tested the functionality of the tool which is compared with the doctor's diagnosis. The results of data transmission tests via the internet with two different Access Point Bands were obtained with an average delivery time of 1.73 and 1.99 seconds. In testing the classification of conditions using the application obtained an accuracy rate of 100%. Testing the classification of conditions using the asymmetry index resulted in an accuracy rate of 86.67% by testing fifteen patients who have been diagnosed with TMD by doctors and normal patients.Keywords: Temporomandibular Disorder, Electromyography, Monitoring, Asymmetry index, Noninvasive
Co-Authors Afini, M. Dwi Nur Akbar, Handal Wally Akhmad Zainuri Akmal, Muhammad Dhiyadin Al Ashar, Muhamad Haqim Angger Abdul Razak Ardiana, Ahmad Shobri Asmungi, Gaguk Bagasunni’am, Moh. Hibaturrohman Bahtiar, Zuhrinada Alvin Dilent, Steffany Dimas Firmanda Al Riza Endah Budi Purnomowati Fadhlurrahman, Adam Farrel Faturrahman, Vieri Fidya, Shadeka Putratama Goegoes Dwi Nusantoro Hamzah, Ilham Fathurrahman Hidayatulloh, Fajrul Fallaah Khalid, Muhamad Kurniawan, Beni Kusuma, Rizki Bagus Hadi Lukman Hidayat Maulana, Eka Muhammad Rizky Ramadhan Muslimin, Nurhaliza Naudy, Ayliefia Ramadhan Onny Setyawati Pasaribu, Dimpos Fransiskus Xaverius Ponco Siwindarto Prabowo, Muhamad Romadhani Pratama, Renaldi Putra Puspita, Karina Ayu Putra, Repson Sandy Rahmadwati, n/a Rini Nur Hasanah Rusmi Ambarwati Saputra, Andhika Rahmat Sidabutar, Aprillius Mawendra Sigit Kusmaryanto, Sigit Silalahi, Nathanael Ariando Siswojo, Bambang Tricia, Sarina Wahyudi, Naufal Hilmiy Nizar Wicaksono, Ferdiansyah Zainul Abidin Zarkasih, Muhamad Asyir