Institut Teknologi Nasional: Jurnal Itenas Online
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Identifikasi Sifat Selektifitas Jaringan Biologi pada Spektrum Near-Infrared dengan Citra menggunakan Hukum Beer-Lambert
Get PDFABSTRAKSinar near-IR memiliki sifat selektifitas berupa koefisien atenuasi. Metode lain untuk melihat sifat selektifitas adalah menggunakan citra. Untuk menghasilkan citra tersebut digunakan fungsi ketebalan berdasarkan hukum Beer Lambert. Material yang digunakan adalah daging, kulit dan tulang dari ayam. Tujuan penelitian ini adalah menghasilkan citra berdasarkan fungsi ketebalan untuk mengetahui sifat selektifitas antara material. Hukum Beer Lambert menyatakan bahwa nilai intensitas akan teratenuasi tergantung dari fungsi eksponensial koefisien atenuasi dan ketebalannya. Dengan melinierkan persamaan tersebut, maka didapatkan nilai ketebalan suatu material. Hasil penelitian menunjukan bahwa dengan menghitung nilai fungsi ketebalan, maka dapat ditampilkan citra. Pada citra tersebut antar material menunjukan kontras rasio yang berbeda-beda. Sumber near-IR yang digunakan pada panjang gelombang 780 nm dan 980 nm. Hasil menunjukan bahwa panjang gelombang 980 nm menunjukan sifat selektifitasyang lebih baik. Kata kunci: selektifitas, koefisien atenuasi, beer lambert, kontras rasio, pencitraan. ABSTRACTNear-IR rays have accuracy properties in the form of an attenuation coefficient. Another method to see the nature of selectivity is to use imagery. A thickness function based on Beer-Lambert's law is used to produce this image. The materials used are meat, skin, and bones from chickens. This research aims to create images based on the thickness function to determine the nature of selectivity between materials. Beer-Lambert's law states that the intensity value will be attenuated depending on the exponential function of the attenuation coefficient and thickness. By linearizing this equation, we get the thickness value of a material. The research results show that an image can be displayed by calculating the thickness function value. In this image, the materials show different contrast ratios. Near-IR sources are used at wavelengths of 780 nm and 980 nm. The results show that the wavelength of 980 nm leads to better selectivity properties.Keywords: selectivity, attenuation coefficient, Beer-Lambert law, contras ratio, Imaging
Implementasi Extra Trees Classifier dengan Optimasi Grid Search CV pada Prediksi Tingkat Adaptasi
Get PDFAbstrakTeknologi terus maju, terutama dalam komunikasi, pendidikan, dan informasi. Pendidikan online semakin diminati di banyak lembaga pendidikan, mendorong perlunya pemahaman sejauh mana peserta didik dapat beradaptasi dengan lingkungan online. Memprediksi tingkat adaptasi peserta didik menjadi penting untuk meningkatkan efektivitas dan kualitas pengalaman belajar. Dalam penelitian ini, menggunakan dataset dari Kaggle, metode Extra Trees Classifier dioptimalkan dengan Hyperparameter Tuning Grid Search CV. Sebelum optimalsi, akurasi mencapai 95.85%, setelahnya meningkat menjadi 96.26%, menunjukkan peningkatan sebesar 0.41%. Implementasi metode Extra Trees Classifier dengan optimasi Hyperparameter Tuning Grid Search CV lebih unggul dibandingkan penggunaan algoritma tanpa optimasi.Kata kunci: Prediksi, Extra Trees, Classifier, Hyperparameter, CVAbstractTechnology continues to advance, especially in communication, education and information. Online education is increasingly in demand in many educational institutions, prompting the need to understand the extent to which learners can adapt to the online environment. Predicting learners' adaptation level is important to improve the effectiveness and quality of the learning experience. In this study, using a dataset from Kaggle, the Extra Trees Classifier method was optimized with Hyperparameter Tuning Grid Search CV. Before optimization, the accuracy reached 95.85%, after which it increased to 96.26%, showing an improvement of 0.41%. The implementation of the Extra Trees Classifier method with Hyperparameter Tuning Grid Search CV optimization is superior to the use of the algorithm without optimization.Keywords: Prediction, Extra Trees, Classifier, Hyperparameter, C
Revitalizing Orange Products: Implementation of Appropriate Technology for Higher Market Value
Get PDFOranges have a short shelf life, requiring immediate sale or processing to maintain their market value. Gading Kulon Village in Malang Regency has fertile land, making it a potential area for citrus picking tourism. The phenomenon of abundant harvests every season causes tour operators to incur losses due to plummeting prices. Unsold oranges are given away for free, leading to minimal profits for the tour operators. The objective of this community service is to increase the selling price of products by processing oranges into candies. Efficient processing requires appropriate technology, facilitating tour operators in meeting consumer demands. The community service method involves training and product trials. The results of the community service demonstrate the enthusiasm of the women processing oranges in turning them into candies
Fermentation Booster Oven to Increase Tape Production In Gambut District, Banjar Regency, South Kalimantan
Get PDFThe fermentation process contains the addition of microorganisms to make sticky rice into the desired product. The microorganisms used are yeast. The fermentation process takes quite a long time, making tape production take longer. This community service program aims to increase the productivity of sticky rice tape using a fermentation booster oven. This activity was carried out in Pematang village, sub-district. Gambut district. Banjar, South Kalimantan from April 3 2023 to September 15 2023. The program selection was based on considerations regarding the potential of Pematang village as a center for tape production in the sub-district area. Gambut district. Banjar, South Kalimantan. This Oven Booster tape technology was created with the aim of developing innovation and increasing the productivity of the potential tape business in Pematang village. This activity was carried out by discussing the tape making process and introducing Oven Booster tape technology. The use of this technology received a positive response from the target audience, especially regarding the potential for increasing productivity and quality of tape production
DAMPAK ERA ‘NEW NORMAL’ TERHADAP TIMBULAN DAN KOMPOSISI SAMPAH DI GEDUNG PERKULIAHAN PERGURUAN TINGGI: STUDI KASUS GEDUNG S FTUI
Get PDFAbstrakGedung dan komplek perguruan tinggi hingga kini masih mengelola sampahnya dengan menggunakan sistem kumpul, angkut dan buang. Namun, dengan merebaknya wabah COVID-19 yang lalu ikut juga menghentikan kegiatan perkuliahan pada gedung-gedung perguruan tinggi. Namun sejak wabah COVID-19 mulai dapat dikendalikan, seluruh kegiatan kembali berjalan dengan skenario ‘new normal’. Perubahan pola penggunaan gedung selama masa ‘new normal’ berpotensi juga mempengaruhi timbulan dan komposisi sampah yang dihasilkan. Untuk itu, penelitian ini bertujuan untuk mengkaji perbandingan jumlah timbulan dan komposisi sampah pada gedung kuliah saat sebelum pandemi COVID-19 dan pada era ‘new normal’. Metode penelitian menggunakan mixed methods, dengan studi kasus menggunakan gedung S yang merupakan gedung perkuliahan umum yang belokasi di FTUI, Kota Depok. Penelitian ini menunjukkan bahwa jumlah mahasiswa yang hadir pada era ‘new normal’ hanya 57,6% dari mahasiswa yang terdaftar, namun timbulan sampah yang dihasilkan sebesar 81,44 kg/hari, atau sebesar 0,04 kg/hari/mahasiswa atau dua kali lebih banyak dari sebelum pandemi COVID-19, dengan komposisi sampah 61,40% adalah sisa makanan dan kemasan makanan dan 38,60% adalah sampah plastik. Hal tersebut karena adanya perubahan gaya hidup sebagian besar mahasiswa. Bertambahnya timbulan sampah saat ‘new normal’, membuat pengelolaan sampah pada Gedung S perlu disesuaikan kembali dengan komposisi sampah yang dihasilkan, dengan menerapkan konsep 3R.Kata kunci: Pengolahan sampah, gedung kuliah, era ‘new normal’AbstractBuildings and university complexes still manage their waste using a collection, transport and disposal system. The recent outbreak of the COVID-19 outbreak also stopped lecture activities in university buildings. However, since the COVID-19 outbreak began to be controlled, all activities have resumed with a 'new normal' scenario. The amount and makeup of waste generated are impacted by this change. This research aims to examine the comparison of the amount of waste generation and composition in lecture buildings before the COVID-19 pandemic and in the 'new normal' era. The research uses mixed methods, with a case study using S Building, a public lecture building located at FTUI, Depok. This research shows that the number of students attending in the 'new normal' era was only 57.6% of registered students, but the waste generated was 81.44 kg/day, or 0.04 kg/day/student, twice more than before the COVID-19 pandemic, with a waste composition of 61.40% being food scraps and food packaging and 38.60% being plastic waste. This is due to changes in the lifestyle of most students. This increase in waste generation means that waste management in S Building needs to be readjusted to the composition of the waste produced, by applying the 3R concept.Keywords: waste management, college buildings, the ‘new normal’ er
Optimasi Teknologi WAV2Vec 2.0 menggunakan Spectral Masking untuk meningkatkan Kualitas Transkripsi Teks Video bagi Tuna Rungu
Get PDFABSTRAKTeknologi Automatic Speech Recognition (ASR) telah berkembang pesat sebagai alat untuk meningkatkan aksesibilitas informasi bagi penyandang tuna rungu, terutama melalui video. WAV2Vec 2.0, salah satu teknologi ASR unggulan, efektif dalam transkripsi teks, namun kinerjanya menurun saat menghadapi noise. Penelitian ini bertujuan mengoptimalkan WAV2Vec 2.0 dengan menerapkan Spectral Masking untuk mengurangi noise tanpa mengorbankan kejelasan sinyal utama. Evaluasi dilakukan pada tiga jenis video: podcast, video dengan background noise, dan video dengan background music. Hasil menunjukkan penurunan Word Error Rate (WER) yang signifikan, sebesar 78.06% pada podcast dan 53.85% pada video dengan background noise. Hasil penelitian menunjukkan bahwa Spectral Masking efektif dalam meningkatkan akurasi transkripsi, menawarkan solusi inovatif untuk aksesibilitas tuna rungu dalam kondisi audio yang kompleks.Kata kunci: noise reduction, spectral masking, tuna rungu, WAV2Vec 2.0 ABSTRACTAutomatic Speech Recognition (ASR) technology has rapidly evolved as a tool to enhance information accessibility for the hearing impaired, particularly through video content. WAV2Vec 2.0, a leading ASR technology, is effective in text transcription, but its performance degrades in the presence of noise. This study aims to optimize WAV2Vec 2.0 by applying Spectral Masking to reduce noise without compromising the clarity of the main signal. The evaluation was conducted on three types of videos: podcasts, videos with background noise, and videos with background music. The results show a significant reduction in Word Error Rate (WER), with a 78.06% decrease in podcasts and a 53.85% decrease in videos with background noise. These findings demonstrate that Spectral Masking effectively enhances transcription accuracy, offering an innovative solution for improving accessibility for the hearing impaired in complex audio conditions.Keywords: noise reduction, spectral masking, tuna rungu, WAV2Vec 2.
Perancangan Prototype Zelio Smart Relay pada Modifikasi PLTS On Grid untuk Kontinuitas Suplai Daya di Kampus II ITN Malang
Get PDFABSTRAKPenggunaan PV (Photovoltaics) sebagai Pembangkit Listrik Tenaga Surya (PLTS) banyak digunakan di Indonesia. Mode pengoperasian PLTS dikenal dengan on grid dan off grid dimana PLTS on grid adalah kondisi dimana sistem selalu terhubung dengan jaringan PLN, sedangkan PLTS off grid kondisi dimana sistem mampu beroperasi sendiri ketika jaringan PLN terputus. Penelitian ini melakukan pembuatan prototype dengan cara menambahkan smart relay Zelio sebagai perangkat utamanya, dan dengan menambahkan relay sebagai pengganti Motorized Molded Case Circuit Breaker (MCCB) hasil simulasi membuktikan grid tetap dalam kondisi bertegangan setelah 20 detik dari terputusnya suplai PLN. Kata kunci: motorized mccb, plc, pembangkit listrik tenaga surya ABSTRACTThe use of PV (Photovoltaics) as a Solar Power Plant (PLTS) is widely used in Indonesia. PLTS operating modes are known as on grid and off grid, where PLTS on grid is a condition where the system is always connected to the PLN network, while PLTS off grid is a condition where the system is able to operate itself when the PLN network is disconnected. This research made a prototype by adding a smart relay Zelio as the main device, and by adding a relay as a replacement for the Motorized Molded Case Circuit Breaker (MCCB), the simulation results proved that the grid fulfilled voltage after 20 seconds of the PLN supply disconnected.Keywords: motorized mccb, plc, solar power plan
Penerapan Algoritma Gradient Boosting pada Sinyal EEG sebagai Pengendali Kursi Roda
Get PDFABSTRAKBerdasarkan data Badan Penduduk Statistik (BPS) tahun 2019, jumlah penduduk lanjut usia yaitu 23,4 juta dan 26,2% diantaranya mengalami keluhan kesehatan. Beberapa keluhan kesehatan yang dialami berkaitan dengan mobilitas. Kursi roda merupakan salah satu alat bantu yang kerap digunakan oleh penyandang disabilitas atau seseorang yang memiliki keterbatasan mobilitas. Brain-Computer Interface digunakan sebagai sistem kendali kursi roda menggunakan Raspberry Pi berdasarkan masukan berupa sinyal EEG. Sinyal EEG tersebut digunakan untuk memprediksi perintah otak dan rangsangan gerakan bola mata dengan menerapkan algoritma gradient boosting. Hasil prediksi machine learning merupakan set point untuk menjalankan motor DC sehingga kursi roda dapat bergerak berdasarkan hasil prediksi. Sistem BCI pada kursi roda telah dilakukan uji coba, integrasi BCI pada kursi roda berhasil diterapkan dengan persentase keberhasilan sebesar 60%.Kata kunci: BCI, Machine Learning, Wheelchair Control. ABSTRACTAccording to the Badan Penduduk Statistik 2019, the number of elderly population is 23.4 million, and 26.2% of them experience health complaints. Some of these complaints are related to mobility. Wheelchairs are one of the commonly used aids for people with disabilities or mobility limitations. The Brain-Computer Interface (BCI) is employed as a control system for a wheelchair, utilizing a Raspberry Pi, which operates based on input signals derived from EEG (Electroencephalogram) signals. These EEG signals are used to predict brain commands and stimulate eye movement through the application of gradient boosting algorithms. The machine learning prediction results are the set points to run the DC motor so that the wheelchair can move based on the prediction results. The BCI system for wheelchairs has been tested, and the integration of BCI into wheelchairs has been successfully applied with a 60% success rate.Keywords: BCI, Machine Learning, Wheelchair Control
Impact of Energy-Efficient Electricity Usage Counseling on Community Behavior in Cibenda Village Pangandaran Regency
Get PDFIn Indonesia, the household sector is one of the largest consumers of electricity, so it is necessary to optimize energy use to reduce costs and environmental impacts. This study aims to provide counseling on energy-efficient electricity usage techniques. Methods Activities carried out include lectures, discussions, demonstrations, and simulations. Counseling focused on the selection of efficient electrical equipment, the application of environmentally friendly technology, and strategies for effective and efficient electricity use. The results of the study showed that the counseling program on environmentally friendly technology and energy saving was well received by various community groups. Most respondents, including Karang Taruna youth 90%, village government officials 95%, PKK mothers 85%, and fishing communities 88%, considered this counseling useful. In addition, the majority felt more confident in choosing energy-efficient equipment 83-90% and understood more environmentally friendly technology 75-85%. Most also planned to implement 80-90% and had started implementing more energy saving techniques 70-80%. These results confirm the positive impact of counseling in increasing awareness and energy saving practices in the community
Cutting-Edge Agricultural Technology for Farmer Self-Reliance: Support and Implementation of Efficient Spraying Equipment
Get PDFAgriculture plays a crucial role in Indonesia's economy but faces various challenges such as climate change and low productivity. To address these issues, technological innovation is essential. Efficient modern agricultural sprayers are one key innovation that helps farmers apply pesticides and fertilizers more effectively. This study focuses on the support and implementation of efficient sprayers in Bana Village, Teriak District, Bengkayang Regency. Through lectures, discussions, demonstrations, and simulations, farmers are encouraged to understand and adopt this technology. The results show an increase in farmers' knowledge and skills in using the sprayers, as well as improved crop productivity and reduced chemical usage. The participatory approach in this study ensures practical and sustainable solutions, enhancing farmer self-reliance. It is hoped that the implementation of this technology will improve farmer welfare and support agricultural sustainability in Indonesia