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G-Tech : Jurnal Teknologi Terapan
Published by Universitas Islam Raden Rahmat Malang
ISSN : 25808737     EISSN : 2623064X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering
Jurnal G-Tech bertujuan untuk mempublikasikan hasil penelitian asli dan review hasil penelitian tentang teknologi dan terapan pada ruang lingkup keteknikan meliputi teknik mesin, teknik elektro, teknik informatika, sistem informasi, agroteknologi, dll.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 897 Documents
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Pengaruh Pemberian Vermikompos dan PGPR terhadap Pertumbuhan dan Kadar Gula Semangka (Citrullus vulgaris) Dido Ari Widodo; Juli Santoso; Nora Augustien Kusumaningrum
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3901

Abstract

Tanaman semangka menjadi salah satu komoditas unggulan di Indonesia dan mempunyai daya tarik ekonomis yang tinggi. Upaya peningkatan pertumbuhan dan hasil tanaman terus dilakukan, salah satunya menggunakan vermikompos dan PGPR.  Penelitian ini dilakukan untuk memperoleh dosis vermikompos dan konsentrasi PGPR yang tepat guna meningkatkan pertumbuhan serta hasil tanaman semangka. Penelitian menggunakan Rancangan Acak Lengkap (RAL) 2 faktor. Faktor pertama adalah dosis vermikompos terdiri dari 4 perlakuan (0, 100, 150 dan 200 gram vermikompos). Faktor kedua adalah konsentrasi PGPR yang terdiri dari 4 perlakuan (0, 15, 20 dan 25 ml/l air). Hasil penelitian menunjukkan bahwa terjadi interaksi antara dosis vermikompos dengan konsentrasi PGPR terhadap panjang tanaman usia 42 dan 49 HST serta kadar gula buah semangka. Dosis vermikompos (200 gram) secara tunggal berpengaruh nyata terhadap panjang tanaman usia 21, 35 dan 49 HST dan diameter batang usia 14, 21, 28, 35, 42 dan 49 HST.
Analysis of the Impact of Energy Use on CO2 Emissions: Before, During, and Post-Covid-19 Sarah Delana Wijaya; Fahmy Rinanda Saputri
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3902

Abstract

This article discusses the impact of energy use on CO2 emissions, especially the transition from fossil energy to renewable energy. Since the industrial revolution until today, fossil energy has been the main source of energy. The COVID-19 pandemic played a significant role in transformingthe global energy paradigm. Restrictions on social activities during the pandemic resulted in a drastic decrease in the use of fossil energy and increased the use of renewable energy. A critical analysis of energy consumption, availability of energy sources, and the impact of fossil and renewable energy use provides an overview of the energy transition that is taking place. It can be concluded that this article illustrates the significant changes in energy consumption patterns before, during and after COVID-19.
Pemanfaatan Tabung Freon sebagai Komponen Utama Mesin Pemecah Tempurung Kemiri (Aleurites moluccana) Iikwanto Lasimpala; Mustofa; Siradjuddin Haluti
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3911

Abstract

Kemiri merupakan salah satu tanaman perkebunan yang kaya akan manfaat dan kegunaan, sehingga berdampak pada tuntutan peningkatan produksi. Peningkatan produksi kemiri dapat diupayakan dengan penerapan teknologi yang didasarkan pada kondisi lingkungan setempat dan ketersediaan bahan baku. Penelitian ini bertujuan untuk menguji kelayakan tabung freon sebagai komponen utama pembuatan mesin pemecah tempurung kemiri. Pembuatan mesin pemecah tempurung kemiri dilakukan melalui beberapa tahapan yaitu identifikasi masalah, penyediaan alat dan bahan, desain alat, pembuatan komponen, fabrikasi komponen, uji fungsi, dan pengujian. Hasil pengujian diperoleh bahwa rata-rata kemiri yang hancur memiliki persentase tertinggi, yakni sebesar 24,17%. Adapun kemiri pecah utuh memiliki persentase terendah, yakni sebesar 1,86%. Selain itu, masih terdapat kemiri yang lolos dan pecah tanpa terkupas. Hasil ini mengindikasikan bahwa kinerja mesin ini kurang maskimal. Oleh karena itu, pengembangan mesin ini perlu dilakukan dengan memperhatikan faktor-faktor yang dapat meningkatkan produktivitas dan kinerjanya.
Penerapan Chatbot Telegram pada Sistem Pakar untuk Mendeteksi Kerusakan Sepeda Motor dengan Metode Depth-first Search Kadek Darmaastawan
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3913

Abstract

Sistem pakar merupakan sistem yang meniru kemampuan pakar dalam menyelesaikan masalah. Penelitian terdahulu telah membangun sistem pakar berbasis web maupun mobile di berbagai bidang. Kelemahan sistem pakar berbasis web maupun mobile adalah pengembangannya memerlukan waktu dan tenaga lebih untuk membuat antarmuka. Kelemahan lainnya adalah pengguna sistem pakar harus mempelajari antarmuka kurang umum. Solusi permasalahan tersebut adalah dengan memanfaatkan chatbot aplikasi chatting. Pengembang sistem pakar tidak perlu mengembangkan antarmuka khusus, sehingga dapat menghemat waktu dan tenaga. Pengguna juga tidak perlu mempelajari antarmuka baru karena masyarakat telah terbiasa dengan antarmuka aplikasi chatting. Penelitian ini membangun sistem pakar deteksi kerusakan sepeda motor dengan metode Depth-first Search berbasis chatbot Telegram. Hasil uji coba sistem pakar pada penelitian ini menunjukkan tingkat akurasi yang mencapai 90%. Oleh karena itu, penelitian berhasil membangun sistem pakar berbasis chatbot Telegram yang mempunyai kualitas yang baik dan bermanfaat bagi pengembang dan pengguna.
Perancangan Optimasi Keamanan Operasional : Sistem Informasi Pengecekan Kondisi Gerbong Kereta Api Menggunakan Sistem Informasi Berbasis Web Ali Ikhwan; Arya Dwi Utama; Suci Syah Putri; Deli Kartika Abrianisyah; Rizki Prasetya Nasution
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3920

Abstract

Penelitian ini mengeksplorasi perancangan sistem pengecekan kondisi gerbong kereta api berbasis web dengan fokus pada keselamatan operasional. Dengan menggunakan metode deskriptif melalui observasi, wawancara, dan studi dokumentasi, sistem ini mengadopsi pendekatan digital untuk mengatasi tantangan pemeriksaan manual. Hasil penelitian menunjukkan bahwa implementasi teknologi ini memiliki potensi besar untuk meningkatkan keselamatan operasional perkeretaapian dengan mengurangi risiko kesalahan dan mencatat riwayat pemeliharaan. Sistem ini dirancang untuk mendigitalisasi proses pemeriksaan, mendeteksi potensi masalah secara dini, dan meningkatkan efisiensi. Penelitian ini memberikan kontribusi positif terhadap pengembangan solusi inovatif dalam menjawab tuntutan keamanan dan efisiensi dalam layanan perkeretaapian modern yang diharapkan sistem ini dapat diimplementasikan secara luas.
Enhancing Cardiac Anomaly Detection through Deep Learning Autoencoder: An In-Depth Analysis Using the PTB Diagnostic ECG Database Gregorius Airlangga
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3921

Abstract

Cardiovascular diseases are the leading cause of mortality worldwide, necessitating advancements in early anomaly detection from electrocardiogram (ECG) signals. This study introduces a novel convolutional neural network (CNN)-based autoencoder architecture that significantly outperforms traditional Multi-Layer Perceptron (MLP) models in detecting ECG anomalies. Our method capitalizes on unsupervised learning to discern between normal and pathological heartbeats with an accuracy of 71.16% and an F1 score of 73%. We address the challenge of imbalanced datasets by implementing a refined thresholding strategy for anomaly classification. Comparative analysis reveals that our model achieves superior precision, particularly in delineating true anomalies within ECG data. The proposed autoencoder architecture holds promise for clinical applications, offering a robust tool for enhancing diagnostic accuracy in cardiac care. Our research contributes to the growing body of knowledge in medical diagnostics, paving the way for improved patient outcomes through advanced deep learning techniques.
Design Join Composite Memanfaatkan Ketahanan Alam dari Cabang Pohon untuk Meningkatkan Toleransi Kerusakan Jusef Saiful; Muhammad Yusuf; Sunarko Sunarko
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3939

Abstract

Optimization and innovation are necessary to enhance the resilience of transportation, particularly through the improvement of connections. Connections play a crucial role, especially in structural designs that often utilize various types of joints. The use of composite connection components inspired by nature, such as tree branch connections, can be a solution to improve joint resilience. Tree branch connections exhibit desired structural properties, including strength, toughness, fatigue resistance, and damage tolerance. The application of Advanced Additive Manufacturing, such as stereo-lithography, is employed to integrate fiber structures in joint designs. These joints aim to replace bolts and nuts, which can damage load-bearing fibers and increase local stresses. Testing indicates that tree branch-inspired joint designs, especially with 37.5% embedding, provide the most optimal results with the best values for stress, displacement, and safety factors compared to other joint design variations.
Pemodelan Simulasi Antrian Pengambilan Material Pada Warehouse Section PT Kaltim Methanol Industri Putri Gesan Prabawa Anwar; Christopher Davito Prabandewa Hertadi; Ridho Kamal Pratama
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3946

Abstract

A company that offers products naturally needs storage space called a warehouse. Warehouse has an information system regarding the availability, status and condition of goods in the warehouse. Parties who need materials are required to come to the warehouse to pick up the goods. With limited human resources, there will be a buildup of queues and waiting times that are getting longer along with the number of users entering the system. This study aims to reduce the number and time of queues by conducting simulations with different scenarios. The study used primary data by combining 3 days of observation data as many as 34 data. Observations were made during normal working hours, namely 07.30 to 15.30. The actual model of the warehouse queuing system is a single channel multiphase. By comparing the actual simulation model with different scenarios, it is expected to find scenarios that can reduce the time and number of queues.
Comparative Analysis of NLP Techniques for Hate Speech Classification in Online Communications Gregorius Airlangga
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3959

Abstract

This research aimed to compare the effectiveness of two Natural Language Processing (NLP) techniques—SpaCy's word embeddings and Sklearn's TF-IDF vectorization—in identifying hate speech within online comments. Utilizing a balanced dataset, each model was meticulously assessed on its ability to classify comments as 'hateful' or 'non-hateful'. The evaluation metrics employed were precision, recall, F1-score, and overall accuracy. The model using SpaCy's word embeddings achieved an accuracy of 65%, with equal precision and recall for both classes. The Sklearn's TF-IDF vectorization model, however, demonstrated superior performance with an overall accuracy of 75% and an enhanced ability to correctly identify hateful comments, evidenced by a 77% recall rate. This suggests that the TF-IDF model is more adept at discerning nuanced expressions of hate speech. The study's findings highlight the critical role of vectorization methods in the field of automated content moderation and stress the importance of continued innovation and model adaptation to effectively manage the evolving nature of online hate speech.
Analisis Penyebab Cacat Produk pada Proses Produksi Polyster dengan Metode Six Sigma Yulizan Rizki; Imam Maulana Firdaus
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3968

Abstract

Along with current technological developments, national companies are encouraged to carry out updates and innovations in quality control, especially in producing high quality and high competitiveness. Quality control aims to achieve zero defect levels, including that carried out by PT. Argatha Jaya currently. This research aims to reduce the reject rate and determine priority problems in the polyester production process. This research uses the six sigma method based on a simple problem solving methodology consisting of Define, Measure, Analyze, Improve and Control. This method combines various statistical tools and other process improvement approaches. The results of this research show that the company's Sigma level in July 2020, which was carried out on the Polyster unit, obtained a value of 3.59. These results illustrate that quality control is not optimal and improving it requires prioritization with FMEA analysis which can detect failed products in a particular process

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