cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
Angkasa: Jurnal Ilmiah Bidang Teknologi
Published by Institut Teknologi Dirgantara Adisutjipto
ISSN : 20859503     EISSN : 25811355     DOI : 10.28989/angkasa
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 370 Documents
 33   34   35   36   37 
Analisis Perbandingan Linear Regression dan Long Short Term Memory untuk Prediksi Harga Emas Umi Zakiyah; Esi Putri
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4031

Abstract

This study aims to analyze and compare the performance of the Linear Regression and Long Short-Term Memory (LSTM) models in predicting gold prices. Gold price data was processed through a preprocessing stage that included data normalization and dataset splitting using three skenarios: 70:30, 80:20, and 90:10. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R²). The results show that both models are capable of producing predictions with high accuracy across all testing skenarios. However, the Linear Regression model performs better than the LSTM. The best skenario for Linear Regression was obtained with a 70:30 data split, yielding an RMSE of 24.92, a MAPE of 0.76%, and an R² of 0.9986. Meanwhile, the Long Short performed best in the 80:20 and 90:10 skenarios, with the lowest Root Mean Square Error of 35.84 in the 80:20 skenario, as well as the lowest Mean Absolute Percentage Error of 0.98% and the highest coefficient of determination of 0.9967 in the 90:10 skenario. The results of the study indicate that the gold price data patterns during the study period can be well represented by the Linear Regression model, resulting in a lower prediction error rate compared to the LSTM model. Therefore, Linear Regression can be recommended as the more optimal model for predicting gold prices using the dataset employed in this study
Rancang Bangun Pembangkit Listrik Tenaga Bayu Menggunakan Turbin Archimedes Tiga Sudu untuk Penerangan Unit Bisnis Elka Pranita; Bagus Roudhotul Firdaus; Muhammad Anwar Sadat Faidar; Fika Trisnawati; Sigit Doni Ramdan; Jaka Persada Sembiring; Novia Utami Putri
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4153

Abstract

Kebutuhan energi listrik di Indonesia terus meningkat, sementara pasokan listrik masih didominasi energi fosil sehingga diperlukan energi alternatif yang berkelanjutan. Salah satu potensinya adalah energi angin melalui PLTB. Penelitian ini bertujuan menganalisis pemanfaatan energi angin di Pantai Gunung Kunyit, Bandar Lampung, menggunakan turbin angin tipe Archimedes yang cocok bekerja pada kecepatan angin rendah. Metode penelitian dilakukan dengan mengukur parameter teknis menggunakan anemometer untuk mengukur kecepatan angin, tachometer untuk mengukur putaran generator, serta multimeter untuk mengukur tegangan dan arus listrik. Metode penelitian dilakukan dengan mengukur kecepatan angin, putaran generator, tegangan, arus, dan daya listrik. Penelitian di lakukan selama 3 hari didapatkan hasil menunjukkan kecepatan angin tertinggi sebesar 6,6 m/s pada hari ke-3 pukul 13.00 WIB menghasilkan putaran generator 277,7 rpm, tegangan 13,93 volt, arus 0,14 Ampere, dan daya 1,95 Watt. Semakin tinggi kecepatan angin, semakin besar daya listrik yang dihasilkan, sehingga turbin Archimedes berpotensi dikembangkan sebagai energi alternatif ramah lingkungan di wilayah pesisir
Studi Eksperimental Pembangkit Listrik Termoelektrik dengan Sumber Panas Kompor Surya Parabola Fajar Anggit Nugroho; Elka Pranita
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4036

Abstract

The increasing demand for electrical energy has encouraged the development of renewable and environmentally friendly energy sources. This study aims to analyze the performance of a thermoelectric generator using a parabolic solar cooker as the heat source. The system consists of five SP1848 thermoelectric modules connected in series with an ice-filled cooling box serving as the cooling medium. Experiments were conducted over four days with 40 observations using a 100 Ω resistive load. The measured parameters included solar radiation intensity, temperature difference (ΔT), output voltage, current, and power. The results showed a strong correlation between solar radiation intensity and cooker temperature (R² = 0.9723), while ΔT exhibited a very strong linear relationship with the output voltage (R² = 0.9997). The best performance was achieved on the third day, with a solar radiation intensity of 1054 W/m², ΔT of 80°C, output voltage of 9.5 V, current of 0.432 A, and output power of 4.102 W. Compared with previous studies, the proposed system produced higher ΔT, voltage, and power, demonstrating that the parabolic solar cooker effectively enhanced the thermoelectric generator performance
Implementation of IoT-Based Automation Systems for Production Process Monitoring in the Medium-Scale Fish Processing Industry Rizal Syarifuddin; Rosmiati Rosmiati; Marni Astuti
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4218

Abstract

Improving production efficiency and traceability remains a major operational challenge in the medium-scale fish processing industry. This study presents the design and implementation of an Internet of Things (IoT)-based automation system tailored for real-time process monitoring in a medium-scale fish processing facility, specifically implemented at the institutional kitchen unit of the National Nutrition Agency. The system integrates DS18B20, DHT22, infrared sensors, and ACS712 current sensors with an ESP32 microcontroller and Blynk application interface to monitor room temperature, ambient humidity, product counts, and electrical energy consumption. Results from a 10-day evaluation demonstrated stable performance, maintaining room temperature accuracy within ±0.5°C and transmission latency under 1 second. System evaluation conducted with 10 operational staff () using the System Usability Scale (SUS) yielded an average score of 82.5, indicating high user acceptance. These findings confirm the efficacy of IoT technology in optimizing process control within medium-scale fish processing operations
Pengaruh Perbedaan Lokasi Base Isolation Terhadap Mekanisme Kehancuran Gedung Bertingkat Menggunakan Analisis Pushover Ahmad Rizal Wishly Lahudian; Ari Wibowo; Retno Anggraini
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4079

Abstract

Penelitian ini mengevaluasi pengaruh variasi lokasi penempatan sistem isolasi dasar (base isolation) terhadap kinerja seismik dan mekanisme kegagalan gedung bertingkat beton bertulang dengan ketidakberaturan vertikal (setback). Menggunakan analisis pushover statik non-linier, lima modelbangunan dengan konfigurasi satu model fixed based dan empat model dengan penempatan isolator High Damping Rubber Bearing (HDRB) yang berbeda dianalisis berdasarkan prosedur ASCE 41-17 dan ATC-40. Hasil simulasi menunjukkan bahwa lokasi penempatan isolator sangat memengaruhi pola progresi sendi plastis dan mekanisme keruntuhan struktur. Struktur fixed base konvensional dan model dengan mid-story isolation rentan terhadap kegagalan geser lateral atas (shear-sway mechanism) yang katastrofik akibat konsentrasi tegangan lokal pada arah sumbu Y. Sebaliknya, Model 4 terbukti menjadi konfigurasi paling efektif karena mampu meredam gaya geser seismik secara sempurna dengan mempertahankan kondisi elastis penuh pada arah sumbu X, serta meminimalkan kerusakan struktural berupa sendi plastis daktil pada elemen balok arah sumbu Y tanpa melibatkan elemen kolom.
Rancang Bangun Mesin Ekstruder Filamen 3D Printing Berbahan Dasar Limbah Botol Plastik PET Muhammad Rifki; Ibnu Hafizh; Anugrah Budi Wicaksono; Mohamad Zaenudin; Alvin Mubarok; Ribut Nawang Sari
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.3978

Abstract

This research focuses on the design and construction of a 3D printing filament extruder machine using recycled PET plastic bottles as the primary material. The aim is to provide a cost-effective and environmentally friendly solution for producing 3D printing filament. The methodology involves collecting references, designing the machine, and manufacturing the components. The machine utilizes a cartridge heater for melting the PET plastic, a stepper motor for material pulling, and an automatic winding system. The design incorporates a filament guiding system with a limit switch for consistent winding. Calculations were performed to determine the required motor power (1.75 watts) and heater power (58 watts). The results demonstrate the successful conversion of PET plastic waste into standard 1.75 mm diameter filament. The designed extruder machine offers an economical and sustainable alternative for PET plastic waste utilization. Further research should focus on filament quality testing, temperature stability improvement, and production rate optimization
Rancang Bangun dan Evaluasi Performa Incinerator Sampah Rumah Tangga Berbahan Drum Bekas dengan Bahan Bakar Oli Bekas Akhmad Tito Fismatika; Syahrul Rhomadhon; Randi Dinata; Imam Safal Haqi
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4093

Abstract

Improperly managed household waste is a major crisis. Organic waste rots, attracting disease-carrying pests and releasing methane, while unmanaged inorganic waste (like plastics) contaminates soil and water. Both directly threaten local communities, spreading infections and polluting vital natural resources. The proposes two-stages incinerator combines design planning, material selection, and rigorous performance testing. Its two-stage combustion system, comprising primary and secondary chambers, ensures complete waste destruction while significantly reducing harmful gas emissions. Used oils waste acts as an economical, high-calorific alternative level. The combustion temperature reaches 520°C, the body temperature incinerator 390°C, and thew total operational cost for one combustion is IDR 4,632. Waste drum files are used as material for the body.incinerator as a form of reducing waste and rubbish for benefits
Pengaruh Variasi Fraksi Volume Komposit Hibrid Serat Sabut Kelapa-Serat Rami-Epoxy Terhadap Kekuatan Tarik, Kekuatan Impak dan Karakteristik Patahan Fajar Nugroho; Dwi Hartini; Nurfi Ahmadi; Nur Akhmad Triwibowo; Fahril Khairullah
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4003

Abstract

Natural fiber-reinforced hybrid composites have attracted considerable attention as environmentally friendly materials owing to their low density, renewability, and promising mechanical properties. However, studies investigating the combined effect of coconut coir fiber and ramie fiber volume fractions on the tensile strength, impact resistance, and fracture characteristics of epoxy-based hybrid composites remain limited. This study aims to evaluate the influence of different volume fraction combinations of coconut coir fiber and ramie fiber on the mechanical performance and fracture behavior of hybrid composites. Composite specimens were fabricated using the hand lay-up method with an epoxy matrix. Tensile and impact tests were conducted according to ASTM D3039 and ASTM D6110, respectively, followed by macro-fracture observation and scanning electron microscopy (SEM) analysis to identify dominant failure mechanisms. The results indicate that the hybrid composite containing 15% coconut coir fiber and 15% ramie fiber exhibited the highest tensile strength of 19.58 MPa and the highest impact strength of 16.9 kJ/m². This balanced fiber composition promoted more uniform stress distribution, improved fiber–matrix interfacial bonding, and reduced the occurrence of voids and fiber pull-out compared with other compositions. Fractographic analysis confirmed that enhanced interfacial adhesion contributed to improved mechanical performance. These findings demonstrate that optimizing the volume fraction of hybrid natural fibers is an effective approach for improving the tensile, impact, and fracture properties of epoxy-based hybrid composites
Pengaruh Variasi Parameter Cetak Dan Post Processing 3D Printing Sla Terhadap Sifat Mekanik, Akurasi Dimensi, Dan Kekasaran Permukaan Plant Based Resin Aris Sandi; Azzaky Taufani Lazuardiansyah Ramadhan
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4120

Abstract

Advances in additive manufacturing technology, particularly the Stereolithography (SLA) method, are increasingly being utilized across various industrial sectors due to their ability to produce components with high dimensional accuracy, good surface quality, and complex geometric details. However, the quality of the printed results is significantly influenced by process parameters and post-processing steps, necessitating the optimization of appropriate parameters. This study aims to analyze the effect of variations in printing and post-processing parameters on mechanical characteristics such as surface hardness, surface roughness, and dimensional accuracy. Parameter variations include print orientation (horizontal, vertical, diagonal), layer thickness (0.2 mm, 0.25 mm, 0.3 mm), and normal exposure time (5, 10, 15 seconds) using Translucent Green ECO Resin material on an Anycubic Photon Mono 2 machine. The best hardness test value was obtained at the specification parameters of horizontal print orientation, layer thickness 0.25 mm, and NET 10 seconds with the highest average hardness value of 79.1 HD. The highest accuracy was achieved by specimens with horizontal orientation (H), layer thickness of 0.25 mm, and exposure time (normal exposure time) of 10 seconds, which recorded the lowest deviation value of 0.298. Horizontal orientation combined with a layer thickness of 0.25 mm and a normal exposure time of 10 seconds produced the best surface quality with the lowest roughness value of 1.890 µm. Future works should investigate the combined effect of post-curing temperature, UV intensity, and artificial intelligence-based optimization to further improve the performance of plant-based SLA resin
Mapping Sustainable Logistics through the DPSIR Framework: A PRISMA-Guided Systematic Literature Review and Evidence Synthesis Case Study: Logistic Service Provider Muhammad Rizqy Abdurrahman Assyifa; Agus Mansur; Elisa Kusrini; Muhammad Ridwan Andi Purnomo
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4012

Abstract

This study charts the current state of sustainable logistics by using the Drivers–Pressures–State–Impacts–Responses (DPSIR) framework to a five-year collection of peer-reviewed research, focusing on logistics service providers (LSPs) as the operational facilitators of transportation, storage, and delivery. Eligible records are first categorized into DPSIR schema codes, then integrated into a unified indicator system, and ultimately consolidated to reveal prominent trends and identifiable areas for improvement. The 80-20 retention principle guides a priority rule, where the minimal set of components whose collective impact totals 80 percent is designated as the core signal, and the remaining 20 percent is recorded for transparency without compromising inference. The synthesis shows that digitalization and carbon efficiency act as main drivers, although emissions constraints, transport burdens, and disruption risk remain significant pressures; ongoing effects include energy inefficiency and public health externalities. Effective responses center on sustainable practices that conserve energy, full digital transparency, process refinement, decision-making guided by data, and the ability to recover from disruptions. In this portfolio, Logistic Service Providers have a key function in translating policy goals into actual governance by facilitating data pipelines that can communicate with one another, near-real-time monitoring, and standardized operating procedures among partners. The review provides a plan for implementation that connects results to quantifiable state metrics and feasible responses, enabling the prioritization of high-impact interventions, synchronization of monitoring with policy goals, and phased investment choices under changing constraints, particularly through LSP-led coordination

Page 37 of 37 | Total Record : 370

 33   34   35   36   37 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol 18, No 3 (2026): Agustus Vol 18, No 2 (2026): Mei Vol 18, No 1 (2026): Februari Vol 17, No 2 (2025) Vol 17, No 2 (2025): November Vol 17, No 1 (2025): Mei Vol 16, No 2 (2024): November Vol 16, No 1 (2024): Mei Vol 15, No 2 (2023): November Vol 15, No 1 (2023): Mei Vol 14, No 2 (2022): November Vol 14, No 1 (2022): Mei Vol 13, No 2 (2021): November Vol 13, No 1 (2021): Mei Vol 12, No 2 (2020): November Vol 12, No 1 (2020): Mei Vol 11, No 2 (2019): November Vol 11, No 1 (2019): Mei Vol 11, No 1 (2019): MEI Vol 10, No 2 (2018): November Vol 10, No 2 (2018): November Vol 10, No 1 (2018): Mei Vol 10, No 1 (2018): Mei Vol 9, No 2 (2017): November Vol 9, No 2 (2017): November Vol 9, No 1 (2017): Mei Vol 9, No 1 (2017): Mei Vol 8, No 2 (2016): November Vol 8, No 2 (2016): November Vol 8, No 1 (2016): Mei Vol 8, No 1 (2016): Mei Vol 7, No 2 (2015): November Vol 7, No 2 (2015): November More Issue