Garuda - Garba Rujukan Digital

Analisis Jenis-Jenis Kerusakan pada Charger Handphone dengan Menggunakan Multimeter Digital dan Osiloskop Sebagai Alat Pengujiannya Muh Pauzan; Indri Yanti
Gema Wiralodra Vol. 13 No. 1 (2022): Gema Wiralodra
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/gemawiralodra.v13i1.207

Charger handphone adalah alat yang dimiliki oleh hampir setiap orang. Jika terjadi kerusakan maka masyarakat cenderung akan membuangnya dan membeli yang baru. Tapi di sisi lain charger yang rusak terse-but akan menambah limbah elektronik. Charger tersebut dapat dimanfaatkan kembali dengan cara memper-baikinya. Oleh karena itu penelitian ini bertujuan untuk menganalisis jenis-jenis kerusakan pada charger handphone kemudian mengganti komponen yang diindikasikan rusak dengan komponen baru. Terdapat tiga tahap pengolahan sinyal pada charger handphone. Tahap pertama adalah penyearahan sumber alternating current (AC) dari PLN menjadi sumber direct current (DC). Pada tahap ini komponen yang digunakan berupa dioda dan kapasitor. Tahap kedua adalah tahap pensaklaran (switching), dihasilkan tegangan AC dengan frekuensi tinggi (orde kilohertz). Pada tahap ini komponen yang digunakan pada charger non-smartphone adalah transistor, kapasitor dan resistor, selain itu digunakan optocoupler untuk menjaga tegangan output 5V tetap stabil. Sedangkan untuk charger smartphone digunakan IC daya tanpa menggunakan optocoupler. Tahap ketiga adalah menurunkah amplitudo sinyal AC kemudian dirubah ke bentuk DC. Pada tahap ini digunakan transformer, dioda dan kapasitor. Berdasarkan enam belas charger rusak yang berhasil dikumpul-kan (enam charger non-smartphone, sepuluh charger smartphone), lima dari enam charger non-smartphone mengalami kerusakan pada optocoupler, sedangkan pada charger smartphone lima dari sepuluh sampel men-galami kerusakan pada kabel USB. Dua mengalami kerusakan pada kapasitor, dua mengalami kerusakan pa-da dioda dan satu sampel sisanya mengalami kerusakan pada fuse (sekring). Digunakan multimeter digital untuk mengecek kerusakan komponen tersebut, diagnosa kerusakan tersebut valid karena setelah komponen yang dianggap rusak diganti dengan yang baru, charger berfungsi normal.

RANCANGAN ALAT INDIKATOR LEVEL TEGANGAN BATERAI BERBASIS OPERATIONAL AMPLIFIER (OP AMP) Muh Pauzan
TEKNOKOM Vol. 2 No. 1 (2019): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Telah dilakukan rancangan alat indikator level tegangan dengan memanfaatkan operational amplifier (op amp) sebagai komparator. Alat yang dibuat digunakan untuk mengetahui level tegangan dua baterai Li-Ion 3.7V yang disusun seri. Tegangan habis (end voltage) untuk dua baterai adalah 6 V dan tegangan maksimumnya 8.4 V. Tapi pada alat yang dibuat ditentukan 8 V sebagai tegangan maksimum. Terdapat empat indikator, pertama indikator LED merah untuk 25% (6.5V) tegangan baterai, LED kuning untuk 50% (7V), LED hijau untuk 75% (7.5V) dan LED biru untuk 100% (8V) tegangan baterai. LED akan menyala jika output op amp adalah high. Output high terjadi jika tegangan masuk Vin yang melalui pin 2 lebih besar daripada tegangan referensi ref pada pin 3 op amp.Dilakukan perhitungan secara teoritis kemudian dibuat rangkaiannya menggunakan softwareProteus.

UTILIZATION OF ADC PIN ON ARDUINO NANO TO MEASURE VOLTAGE OF A BATTERY Muh Pauzan; Indri Yanti
TEKNOKOM Vol. 4 No. 2 (2021): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Bel Sekolah Otomatis Berbasis Arduino yang Dikontrol Menggunakan Aplikasi Mobile Muh Pauzan; Indri Yanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

The school bell is one of the important devices in school. It has been used from years ago to the present. Bell has been improved along with time. Nowadays, research about school bell has been focused on the bell’s controller, such as using software in a computer, placing a keypad on the bell, and even controlling the bell’s schedule, which can only be performed using coding. However, these controllers are not practical; therefore, an efficient school bell is made by using an Android-based application as the controller. Bluetooth is used as a communication tool between the smartphone and the bell. The research method was by conducting a literature study and doing a survey to SDN 1 Sarapati Indramayu. Based on the method, it has been decided to make four modes on the Android application, i.e., regular mode, exam mode, free, dan emergency mode. Regular mode is used in a normal condition, and exam mode is used when the students are doing an exam. If teachers want to ring the bell directly, the free mode is operated. There are four types of bell ring in free mode, i.e., once, twice, three, and four-time rings. Emergency mode is useful when the school is in an emergency, such as earthquakes, floods, and fires. Results show that the maximum range to control the bell is 9 m.

Sistem Absensi Fingerprint Berbasis Arduino dengan Data Penyimpanan di Micro SD Muh pauzan; Indri Yanti
Gema Wiralodra Vol. 13 No. 2 (2022): Gema Wiralodra
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/gemawiralodra.v13i2.273

Pola yang ada pada jari bersifat unik, pola tersebut dinamakan biometrik. Biometrik digunakan pada metode absensi fingerprint. Penelitian tentang absensi dengan fingerprint baru sebatas pengolahan data absensi tanpa dibuat alat fingerprintnya yang layak pakai. Oleh karena itu dibuat alat absensi dengan metode fingerprint berbasis Arduino yang lebih baik. Jika penelitian-penelitian sebelumnya menggunakan database dan EEPROM di mikrokontroler untuk penyimpanan data absensinya, pada penelitian ini micro SD digunakan untuk penyimpanan data. Tahapan penelitian dimulai dari studi literatur, kemudian perancangan perangkat keras, lalu perancangan perangkat lunak. Setelah alat jadi, dilakukan ujicoba pada alat untuk menganalisis performanya. Dilibatkan 30 responden, masing-masing melakukan scan ibu jari dan telunjuk. Berdasarkan uji jumlah percobaan, ibu jari dan telunjuk memiliki rata-rata jumlah percobaan 1,70 dan 2,73 berturut-turut. Pada uji waktu respon, telunjuk lebih baik dengan waktu rata-rata 2,39 detik berbanding 2,79 detik untuk ibu jari. Pengguna sebaiknya melakukan scan minimal selama 2 detik supaya dapat dideteksi alat.

Alat Pendeteksi Formalin Menggunakan Deret Sensor HCHO dan MQ-7 dengan Logika Fuzzy Cyntiya Laxmi Haura; Indri Yanti; Muh Pauzan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 2: Mei 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i2.7097

Formalin is a hazardous chemical substance that has a pungent odor, is colorless or clear, and is flammable. It should be used to preserve corpses, but often misused by unscrupulous traders to preserve food. Formalin has harmful effects on the human body if it is ingested. Therefore, a practical tool that can detect the presence of formaldehyde in food is needed. Making a formalin detection tool using the Mamdani fuzzy inference system is very useful for detecting formalin and the level of food safety quickly and economically. This tool used the HCHO and the MQ-7 sensors combined with an expert system, namely fuzzy logic. The HCHO detects formalin in the food, like the sense of smell; meanwhile, the MQ-7 sensor detects carbon monoxide (CO). In the testing process, a heater was utilized to vaporize the food samples. The vapor was then detected by the two gas sensors and was processed using the fuzzy logic of the Mamdani method. To see the test’s accuracy using the tool, its results were compared with those of the formalin kit and the Fuzzy Logic Toolbox in MATLAB. The results showed that the lowest level of formalin in the tofu sample, namely sample H, was 0.60 ppm; meanwhile, the highest level was in sample E, with 13.64 ppm. The lowest formalin found in salted fish, namely sample P, was 7.14 ppm, while the highest formaldehyde level was in the salted fish sample, namely sample T, with 193.81 ppm. Compared with the formalin kit results, the accuracy value obtained from the total testing of twenty samples was 95%. The output of the tool was nearly identical to that of MATLAB: 85% with a difference of 0.01 and 15% with a difference of 0.02. The average error between tool output and MATLAB was 0.77%.

Non-Invasive Blood Sugar Measuring Tool Using Arduino-Based Linear Regression Method Nilu Widia Ningsih; Indri Yanti; Muh Pauzan
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.226

Diabetes Mellitus is a disease characterized by high blood sugar levels caused by decreased production or function of the hormone insulin in the body. Traditional tests are usually invasive, involving skin puncture to obtain a blood sample, which can be unsuitable for some sufferers. Non-invasive methods provide a viable alternative for monitoring blood sugar levels. This research aims to create an Arduino-based non-invasive blood sugar level measuring device, leveraging the optical property of laser absorption in liquid media, detected by a photodiode sensor. The primary objective is to develop a device that accurately measures blood sugar levels without the need for invasive procedures. The photodiode sensor outputs voltage, which is then converted into blood sugar level (mg/dl) using a linear regression equation. The derived linear regression equation is y = 31.401 + 36.002x, with a previously obtained correlation value of 0.971 between voltage and blood sugar levels at a significance level of 0.01. The average error value (errata) of this device is 0.0905. The smallest measurement error was observed in patients C and Q, at 0.01 or approximately 1%, while the largest error was in patient L, at 0.22 or around 22%. The contributions of this research include the development of a non-invasive, accurate, and cost-effective method for blood sugar monitoring, potentially improving patient compliance and comfort.

Monitoring And Controlling System Based on Internet of Things (IoT) for Ornamental Chrysanthemum Plants Roihan Noval; Indri Yanti; Muh Pauzan
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.228

Monitoring and controlling system based on Internet of Things has been developed for ornamental chrysanthemum plants. User interface of the system is a website application created using PHP programming language and MySQL as Database Management Systems. The IoT system built are the result of literature review of chrysanthemum plants, such as an ideal soil moisture for chrysanthemum plants is in the range of 40% to 60%, the average plant water requirement is 16.05 ml/day, it is also recommended to apply liquid fertilizer with a high N content of 2g per litre of water every week. This knowledge then applied in the IoT system. Research findings indicated that the device could be controlled through the website and was capable of transmitting real-time soil moisture data. This system not only triggers watering when the soil humidity falls below 41%RH and stops it when reaching 60%RH but also incorporates scheduled fertilizer according to predetermined schedules, meeting the anticipated outcomes. Water and fertilizer pumps produced volumetric flow rate that changed as the level of liquid in the storage tank decreases. The lower the height, the smaller the volumetric flow rate produced, this is due to the influence of hydrostatic pressure.

Electronic Nose Based on Sensor Array for Classification of Beef and Rat Meat Using Backpropagation Artificial Neural Network Method Diana Rusjayanti; Indri Yanti; Muh Pauzan
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.241

The differentiation of beef and rat meat is crucial for food safety and consumer protection. This research aims to create a tool to distinguish between beef and rat meat and to analyze the training data patterns for both types of meat. A sensor array consisting of three gas sensors—TGS822, TGS2602, and TGS2610—was used to detect the presence of Metal Oxide Semiconductor (MOS) gases in the meat samples. The classification method employed was a backpropagation artificial neural network (ANN). Results indicate that the classification tool performs well in differentiating beef from rat meat, with distinct patterns observed in the training data for each type of meat. The model achieved a precision of 100%, a recall (sensitivity) of 80%, and an accuracy of 90%. However, the TGS2610 sensor did not show a significant difference between beef and rat meat, suggesting no variance in the gas content detected by this sensor. These findings highlight the potential of using such sensors in practical applications for meat detection and underscore the need for further refinement in sensor selection and system integration to improve classification performance.

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