E-Journal Politeknik Negeri Cilacap
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Analisis Kelimpahan Mikroplastik pada Air Permukaan dan Biota di Sungai Air Hitam Kota Pekanbaru, Riau
Get PDFMicroplastics are plastic particles with a size of 1 μm – 5 mm that are widely present in surface water and sediments. Increased exposure to microplastics in water can affect food chain cycles, leading to bioaccumulation and biomagnification in fish. This study aims to analyze the abundance, types, and polymer types of microplastics in surface water and fish in the Air Hitam River, Pekanbaru City, Riau. Air Hitam River is one of the tributaries of Siak River which has a length of ±8,5 km. Determination of sampling locations for each segment using purposive sampling method based on existing conditions along the river flow by identifying sources of microplastic pollution. The results showed that the average abundance of microplastics in the waters of Air Hitam River was 330±150,3 particles/L. The average abundance of microplastics in 8 Chitala lopis was 0,86±0,24 particles/gram for meat samples and 4,35±0,4 particles/gram for gill and digestive tract samples. The types of microplastics found in this study are fragments, fibers, films, and pellets. The results of the Pearson Product Moment correlation analysis showed that there was a significant relationship between aquatic environmental parameters (temperature, pH, and flow velocity) and the abundance of microplastics in the Air Hitam River with a sig value. (0,005 < α 0,05) for temperature parameter, sig. (0,215 > α 0,05) for the pH parameter, and sig. (0,248 > α 0,05) for the flow velocity parameter. The polymer types identified based on the Differential Scanning Calorimetry (DSC) test results are Polycarbonate (PC) and Polypropylene (PP).Mikroplastik merupakan partikel plastik yang memiliki ukuran 1 µm – 5 mm dan telah banyak ditemukan pada air permukaan maupun dasar perairan. Meningkatnya paparan mikroplastik di perairan dapat mempengaruhi siklus rantai makanan sehingga menyebabkan terjadinya bioakumulasi dan biomagnifikasi pada ikan. Penelitian ini bertujuan untuk menganalisis kelimpahan, tipe, dan jenis polimer mikroplastik pada air dan ikan yang terdapat di Sungai Air Hitam Kota Pekanbaru, Riau. Sungai Air Hitam merupakan salah satu anak Sungai Siak dengan panjang ±8,5 km. Penentuan titik pengambilan sampel di setiap segmen menggunakan metode purposive sampling, yaitu berdasarkan pada kondisi eksisting di sepanjang aliran sungai dengan mengidentifikasi lokasi yang berpotensi sebagai sumber pencemar mikroplastik. Hasil penelitian menunjukkan bahwa kelimpahan rata-rata mikroplastik di perairan Sungai Air Hitam yaitu sebanyak 330±150,3 partikel/L. Adapun kelimpahan rata-rata mikroplastik pada 8 ekor sampel ikan Chitala lopis yaitu sebanyak 0,86±0,24 partikel/gram pada sampel daging dan 4,35±0,4 partikel/gram pada sampel insang dan saluran pencernaan. Tipe mikroplastik yang ditemukan pada penelitian ini adalah fragmen, fiber, film dan pellet. Hasil analisis korelasi Pearson Product Moment menunjukkan bahwa terdapat hubungan yang signifikan antara parameter lingkungan perairan (suhu, pH dan kecepatan aliran) dengan kelimpahan mikroplastik di Sungai Air Hitam dengan nilai sig. (0,005 < α 0,05) untuk parameter suhu, sig. (0,215 > α 0,05) untuk parameter pH, dan sig. (0,248 > α 0,05) untuk parameter kecepatan aliran. Jenis polimer mikroplastik yang teridentifikasi berdasarkan hasil uji Differential Scanning Calorimetry (DSC) adalah Polycarbonate (PC) dan Polypropylene (PP)
Pelatihan Penggunaan Perangkat Pembelajaran Huruf Braille untuk Siswa Tuna Netra
Get PDFVisually impaired children have limitations in learning Braille due to limited resources and improper facilities. These limitations mean that independent learning activities at home cannot be carried out because they require a teacher who understands Braille. This service activity is carried out to provide training to blind children on the use of Braille learning tools. This service aims to enable blind children to learn Braille letters independently without needing a teacher. Training activities consist of an introduction to Braille letters, an explanation of Braille learning devices, and training on the use of devices for self-learning. The results of the service show that Braille learning technology devices help students in learning independently. There are 6 students and 1 blind teacher who became respondents who agreed that the learning device can be used independently without the help of a companion teacher. Respondents also agreed that the use of assistive technology in learning devices is easy to use. Students have been able to use learning tools independently without the help of a companion teacher to study outside of school
Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results
Get PDFSentiment analysis is a text processing technique aimed at identifying opinions and emotions within a sentence. Machine learning is commonly applied in this area, with algorithms such as Naïve Bayes, Support Vector Machine (SVM), and Random Forest being frequently used. However, achieving optimal accuracy remains a challenge, particularly when dealing with unstructured text data, such as content from social media platforms. This research seeks to improve sentiment analysis performance by implementing a stacking ensemble learning approach, which combines the predictive strengths of several base models. The base models selected for this study are Naïve Bayes, SVM, and Random Forest, while Random Forest also serves as the meta-model to generate final predictions.
The study focuses on sentiment analysis in a specific context—public opinion following the announcement of the Indonesian presidential election results in 2024. The dataset comprises 6,737 tweets collected from the X platform using web scraping techniques in 2024. Results show that individual models achieved varying levels of accuracy: Naïve Bayes at 66.84%, SVM at 77.74%, and Random Forest at 74.78%. In contrast, the stacking ensemble model achieved a significantly higher accuracy of 81.53%. This improvement highlights the effectiveness of ensemble learning in integrating different algorithmic perspectives to enhance predictive performance. By leveraging the complementary strengths of each base model, stacking not only boosts accuracy but also increases model robustness, making it highly suitable for real-world sentiment analysis applications that involve noisy and informal textual data from social media
Visual Content Captioning and Audio Conversion using CNN-RNN with Attention Model
Get PDFThe primary objective of this research is to develop an image captioning and audio conversion system based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) with the integration of an Attention Mechanism, aimed at improving accessibility for visually impaired individuals. The research design follows a systematic approach involving data collection, preprocessing, model development, training, evaluation, and implementation. The methodology utilizes CNN for visual feature extraction, RNN for language modeling, and an Attention Mechanism to enhance contextual relevance in caption generation. Google Text-to-Speech (gTTS) is also integrated to convert generated captions into audio format. The main outcomes demonstrate that the model is capable of generating coherent and contextually relevant captions, as validated through qualitative assessment and quantitative measurement using the BLEU score. Experimental results show decreasing training and validation loss over 8 epochs without signs of overfitting, indicating stable model performance. The attention visualization confirms the model’s ability to focus on relevant image regions during caption generation. In conclusion, the proposed CNN-RNN architecture with Attention effectively generates descriptive captions and converts them into speech, showing strong potential for real-world accessibility applications
ANALISA EKONOMI PEMASANGAN SOLAR PANEL DI PT GRAND INDONESIA JAKARTA
Get PDFTenaga surya telah menjadi salah satu sumber daya yang sangat potensial dalam menghasilkan listrik bersih dan berkelanjutan. Dalam beberapa dekade terakhir, teknologi tenaga surya telah berkembang pesat, terutama dalam bidang panel surya. Panel surya menggunakan material semikonduktor seperti silikon untuk mengubah radiasi sinar matahari menjadi listrik. Sistem tenaga surya On-grid telah menjadi populer karena kemampuan menghasilkan listrik dengan tetap pararel Syncron dengan pembangkit Listrik dari PLN, Artikel ini membahas analisis ekonomi pemasangan panel atap surya di Komplek Gedung PT GRAND INDONESIA, metodologi desain sistem tenaga surya on-grid, termasuk perhitungan structure bangunan, luasan yang di perlukan untuk pemasangan solar panel, ukuran panel surya, pengaturan controller muatan, dan pengatur inverter. investasi yang di perlukan serta berapa tahun akan Kembali modal atau Return of Investment (ROI), Juga menjabarkan jenis-jenis panel surya, yaitu monocrystalline, polycrystalline, dan thin film solar cell (TFSC), serta kelebihan dan kekurangannya, Hasil penelitian ini dapat memberikan gambaran lengkap tentang berapa keuntungan dalam pemasangan panel atap surya, dan teknologi tenaga surya modern dan implementasinya dalam skala besar. Dengan demikian, artikel ini diharapkan dapat memberikan sumbangsih bagi para ilmuwan, insinyur, dan stakeholders lainnya dalam pengembangan dan implementasi sistem tenaga surya yang lebih efektif dan efisien
OPTIMASI PROSES PENGERINGAN GABAH MELALUI SISTEM KONTROL SUHU DAN BERAT OTOMATIS
Get PDFSalah satu tantangan petani dalam memproses beras setelah panen adalah proses pengeringan gabah. Pengeringan tradisional di bawah sinar matahari bisa menjadi masalah. Terutama selama musim hujan, ini dapat menyebabkan risiko serangan serangga dan jamur. Pengering serial otomatis dikembangkan untuk meningkatkan efisiensi dan kualitas proses overhead yang lebih besar. Tujuannya adalah untuk meminimalkan kerugian yang disebabkan oleh cuaca yang tidak pasti dan mengurangi ketergantungan pada metode pengeringan tradisional yang memakan waktu lama. Dalam pembuatan alat ini, ESP32 digunakan sebagai kontrol utama untuk mengelola dan memantau suhu, dan berat selama proses pengeringan, sehingga memastikan setiap parameter berada dalam batas yang diperlukan. Gabah akan dianggap kering jika berat gabah basah berkurang sekitar 20%. Dengan menggunakan aktuator heater, blower, dan exhaust fan untuk mengontrol suhu pada ruang pengering agar tetap pada settingpoint 60°C. Hasil penelitian menunjukkan bahwa nilai error dari uji sensor suhu dan berat rata-rata kurang dari 5% sehingga sensor dapat dikatakan bekerja dengan baik. Hasil pengujian sistem berjalan dengan baik dimana aktuator bekerja sesuai settingpoint pembacaan sensor. Sehingga dengan sistem yang bekerja sesuai dengan settingpoint didapatkan hasil gabah kering siap di giling dengan alat hanya membutuhkan waktu sekitar 4 jam. Hal ini dapat mempercepat proses pengeringan gabah dibandingkan dengan pengeringan manual yang membutuhkan waktu 7 jam untuk cuaca panas, 14 jam saat cuaca mendung, dan 21 jam untuk kondisi cuaca hujan
Analisa Aliran Daya dan Simulasi Koordinasi Relay Proteksi pada Sistem Tenaga Listrik dengan Menggunakan ETAP 2021
Get PDFProteksi sistem tenaga listrik merupakan aspek krusial dalam menjaga keandalan dan stabilitas jaringan distribusi. Jurnal ini membahas metode dan strategi proteksi pada sistem tenaga listrik, termasuk pemanfaatan relai proteksi, koordinasi antar peralatan proteksi, serta analisis terhadap gangguan yang dapat terjadi pada jaringan distribusi. Studi ini juga menyoroti pentingnya penyesuaian setting relai agar sesuai dengan karakteristik sistem, guna meminimalisir dampak gangguan serta memastikan kontinuitas pasokan listrik. Dengan pendekatan analitis dan studi kasus, penelitian ini memberikan wawasan mengenai efektivitas berbagai skema proteksi serta tantangan yang dihadapi dalam implementasinya. Hasil kajian menunjukkan bahwa strategi proteksi yang optimal dapat meningkatkan keandalan sistem dan mengurangi risiko pemadaman akibat gangguan
Designed a Waste Management Application by Applying Requirements Engineering Methods to Meet User Needs and Expectations
Get PDFEfforts to manage waste through recycling have been implemented frequently but continue to receive minimal attention from the public, who are daily contributors to waste generation. As a result, the volume of waste keeps increasing, leading to environmental pollution, such as ecosystem damage, unpleasant odors, and blockages in waterways. This research aims to demonstrate that waste management can be enhanced by integrating data to uncover insights that can inform new strategies for addressing excess waste. In this study, a prototype for a waste recycling application was developed, focusing on digital-based waste management using IoT technology. The system incorporates sensors capable of measuring waste volume as a supporting tool developed using the requirements engineering method. Questionnaires were distributed to 30 respondents to gather feedback on platform designs and IoT product designs. Through requirements validation testing, the results showed that 70% of the 30 respondents approved the platform design, while 63.2% approved the IoT product design.
 
Rancang Bangun Mesin Hot Press Hidrolik 10 Ton Untuk Cetakan Spesimen Bahan Uji Komposit Fiberglass
Get PDFHydraulic Press Machines are also called composite molding machines, 10 ton hot hydraulic press machines are used to print fiberglass composite test material specimens, made to press FRP material into a certain shape so that it is easy to carry out further testing. In order to print test specimens for fiberglass composite test materials, the research aims to design, carry out calculations, and carry out function test of the machine. A hydraulic pressure of 10 tons was chosen to test the specimen whether at the specified maximum pressure the material could survive after further testing. The VDI 2222 engineering approach is used in machine design. Solidworks 2020 is used to get the design shape. With a compression force capacity of 10 tons, the pressure system design produces dimensions of 600 x 100 x 700 mm. consists of several parts such as a pressure gauge with a capacity of 20 tons, a set of temperature sensors, a timer, a sliding shaft, a 20 mm linear bearing, a 24 volt DC wiper motor, a 10 ton hydraulic jack, and a crank system as a transmission. Based on the test results, the pressure gauge can read the pressure produced by the jack, the temperature sensor can read the heat used, namely 110ËšC, and the wiper motor can operate up to a maximum pressure of 3 tons. The pressure system can function effectively if a manual pressure of 10 tons is applied. Tests show that using a temperature of 100ËšC for 10 minutes gives the best results.Sesuai dengan cetakannya, mesin hot press hidrolik 10 ton untuk mencetak spesimen bahan uji komposit fiberglass dibuat untuk menekan bahan menjadi bentuk tertentu. Dalam rangka pencetakan benda uji bahan uji komposit fiberglass, penelitian bertujuan untuk merancang, membuat gambar secara menyeluruh, melakukan perhitungan, dan membuat sistem pengepresan pada mesin hot press hidrolik 10 ton. Pendekatan teknik VDI 2222 digunakan dalam perancangan mesin. Solidworks 2020 digunakan untuk mendapatkan bentuk desain. Dengan kapasitas gaya kompresi 10 ton, rancangan sistem tekanan menghasilkan dimensi 600 x 100 x 700 mm. terdiri dari beberapa bagian seperti alat pengukur tekanan berkapasitas 20 ton, satu set sensor suhu, pengatur waktu, poros geser, bantalan linier 20 mm, motor wiper DC 24 volt, hidrolik 10 ton dongkrak, dan sistem engkol sebagai transmisi. Berdasarkan hasil pengujian, pressure gauge dapat membaca tekanan yang dihasilkan dongkrak, sensor suhu dapat membaca panas yang digunakan yaitu 110ËšC, dan motor wiper dapat beroperasi hingga tekanan maksimal 3 ton. Sistem tekanan dapat berfungsi efektif dengan tekanan yang tercipta sebesar 10 ton. Temuan pengujian menunjukkan bahwa penggunaan suhu 100ËšC selama 10 menit memberikan hasil terbai
Pengaruh Quenching Terhadap Sifat Mekanik dan Struktur Mikro Baut Connecting Rod Bekas Untuk Alat Gesek FSW
Get PDFOne method of joining soft metals such as aluminum that is widely used is Friction Stir Welding (FSW). The friction tool is a very important part of FSW. Friction tools are usually made from hardened H13 steel. This research aims to make a friction tool from steel connecting rod bolts used in marine diesel engines. The experimental methods used include FSW tool design, heat treatment of the material at a temperature of 900oC followed by a quenching process with water and salt water cooling media, then continued with material testing (chemical composition test, hardness test, and micrographic test). The test results obtained from the chemical composition test show that the connecting rod bolts include AISI 4145 steel material. The highest hardness value obtained from the connecting rod steel in the saltwater quenching process was 52.67 HRC with a martensite phase, as seen from the micrographic test. Used steel connecting rod bolts from marine diesel engines can be used as FSW friction tool material