cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Kormil Saputra
Contact Email
tintaemasjournal@gmail.com
Phone
-
Journal Mail Official
tintaemasjournal@gmail.com
Editorial Address
Sultan Salahudin Street, Tj Karang, Kec. Sakarbela, Kota Mataram, Nusa Tenggara Barat, Indone
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
Frontier Advances in Applied Science and Engineering
Published by Tinta Emas Publisher
ISSN : -     EISSN : 30265339     DOI : https://doi.org/10.59535/faase
Core Subject : Health, Science, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics
Mission and Exploration: Frontier Advances in Applied Science and Engineering (FAASE) is committed to being a compass for cutting-edge research, guiding scholars, researchers, and practitioners as they traverse the diverse and ever-evolving landscapes of applied science and engineering. Our mission is to provide a comprehensive platform that fosters the exchange of innovative ideas, transformative discoveries, and impactful insights across a multitude of interconnected disciplines. Focus Frontier Advances in Applied Science and Engineering (FAASE) is dedicated to advancing the frontiers of knowledge and innovation in the realm of applied science and engineering. Our focus is on providing a platform for researchers, scholars, and practitioners to explore, share, and contribute to the latest advancements and insights in a wide range of disciplines. Scopes Applied Science: Frontier Advances in Applied Science and Engineering (FAASE) is a multidisciplinary platform that welcomes original research, review articles, case studies, and scientific data in various fields of applied science. Our scope includes, but is not limited to: Mathematics, physics, chemistry, and statistics Geology and geography Horticulture, agriculture, and post-harvest technology Study of pests and plant diseases Agricultural practices and innovations Food technology, nutrition, and halal food science Post-harvest technology and preservation methods Plantation management and sustainable practices Agricultural economy and community development Nutrition, family resources, and societal well-being Advancements in agricultural extension services Forestry science and sustainable resource management Animal husbandry, nutrition, and feed technology Technology and processes for livestock product development Animal biotechnology and genetic advancements Fisheries management and aquaculture practices Biotechnology applications in fisheries Engineering & Technology: FAASE also provides a platform for researchers, scholars, and practitioners in the field of engineering and technology. We welcome contributions that encompass, but are not limited to: Civil engineering and urban spatial planning Environmental engineering and sustainability practices Urban and regional planning for resilient communities Architectural engineering and innovative designs Industrial engineering and process optimization Mechanical engineering and innovative machinery Chemical engineering and sustainable processes Material engineering and advanced materials research Nuclear engineering and safety advancements Electrical engineering and technological innovations Technical information management and knowledge dissemination Computer engineering, systems, and hardware advancements Information systems and digital infrastructure Software engineering, development, and applications Computer science and cutting-edge algorithms Instrumentation and precision measurement techniques Telecommunications and networking advancements Our scope encompasses contributions that address real-world challenges, drive innovation, and align with the Sustainable Development Goals (SDGs). FAASE is dedicated to promoting interdisciplinary collaboration and supporting research that has a meaningful impact on society and the environment.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 41 Documents
 1   2   3   4   5 
Analysis of Viscosity Effects from the Addition of Mesona Palustris (Black Grass Jelly) on Chitosan Polymer Mohamad Obby Adianto; Muhammad Agni Gustama; Ferdian Budi Ar Rouf; Nyimas Ulfatry Utami; Robekca Purba
Frontier Advances in Applied Science and Engineering Vol. 3 No. 1 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i1.555

Abstract

The main purpose of polymer injection is to reduce the water-oil mobility ratio. Polymers that are widely used are polyacrylamide and polysaccaharides. By increasing the viscosity of the injection fluid, polymer injection can increase the sweep efficiency thereby increasing oil recovery. Refining on petroleum is highly dependent on the efficiency of macroscopic and microscopic pressing. This research purpose is to determine whether the viscosity effect resulted from mesona palustris addition on chitosan polymers could make a good viscosity for oil recovery. The method used in this research is a laboratory experiment with an Ostwald viscometer. The salinity of the formation water used in this study was 20.000 ppm with variations in polymer concentrations of 500 ppm, 1.000 ppm, and 2.000 ppm on the polymer without a mixture of mesona palustris and with a mixture of mesona palustris. The results showed that there was a decrease in polymer viscosity with the addition of mesona palustris to the chitosan polymer, namely the polymer concentration of 500 ppm decreased from 1,56 cp to 1,04 cp, the polymer concentration of 1.000 ppm decreased from 1.87 cp to 1.21 cp. And at a polymer concentration of 2.000 ppm it decreased from 2.38 cp to 1.43 cp.
Magnetic Susceptibility of Pumice in the Area Around Mount Singgalang, West Sumatra Nadifa Salsabila Rifiana; Hamdi Rifai; Ciira wa Maina; Eti-mbuk Akanbi; Sándor Nagy
Frontier Advances in Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i2.384

Abstract

Mount Singgalang is a volcano that has erupted after 1600. Several types of volcanic rocks found around the Mount Singgalang area are Basalt, Andesite, Tuff Breccia, Lava Breccia, and Pumice tuff. Where, andesite and tuff pumice Mount Singgalang originated from the maninjau eruption. Pumice has several minerals, namely cristobalite, feldspar, quartz, obsidian, cristobalite, and tridymite. Pumice has one of the magnetic minerals, namely hematite (Fe2O3), but it is not known how much magnetic mineral content in it. This study aims to determine the abundance of magnetic minerals (magnetic susceptibility) in pumice around Mount Singgalang, West Sumatra. The method used is the rock magnetism method, where this method can investigate the magnetic properties of a material. The instrument used is the Bartington Magnetic Susceptibility Meter. The magnetic susceptibility value of Pumice (Pumice) in the area around Mount Singgalang, West Sumatra, where is the abundance of magnetic minerals in Pumice Rock TDK 20-02 > TDK 20-03 > TDK 20-10. The TDK 20-02 sample has a lot of superparamagnetic grains due to its low susceptibility value and high-Frequency Dependent Susceptibility, while the TDK 20-10 sample has little or almost no superparamagnetic grains due to the high susceptibility value and low-Frequency Dependent Susceptibility.
The Effect of Night Sky Quality in the Glanggang Tourism Village Area in Order to Diversify Astronomy Tourism A Yasinta; Morshed Hadwan; Sutrisno Sutrisno; Mamadou Simina Dramé; Dessalegn Ayehu Mekuriaw
Frontier Advances in Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i2.445

Abstract

Indonesia's economic sector is experiencing rapid growth with the development of tourism. Eco-friendly tourism introduced with the resource of dark skies without light is called astronomy tourism. The brightness of the night sky is closely related to determining the location of astronomy tourism. Measuring the brightness of the night sky plays an important role for observing celestial objects. The research was conducted in Glanggang Village, Pakisaji District, Malang Regency. This research is useful to provide information on whether or not the place is suitable as an astronomy tourism location, besides adding to the attractiveness of tourism by enjoying the beauty of celestial objects. The method used in measuring sky brightness is the Sky Quality Meter type SQM-L. Observations were made for 8 days with a time duration of every 15 minutes. The data is analyzed using the correlation between time and sky brightness value using MPSAS (Magnitude per Square Arc Second) unit. Based on the observation, the highest sky brightness value is 21.4 MPSAS, indicating that the sky brightness value at night is quite high, so light pollution is quite low. According to the results of the observation data, it is concluded that Glanggang Village can be used as an astronomy tourism location.
Multi-Stage Computer Vision Framework with Ensemble Learning for Real-Time Glass Packaging Defect Detection in Industrial Applications Jonah Alfred Mekel; Rick Resa Wahani; Firmansyah Reskal Motulo; Alfred Noufie Mekel; Tineke Saroinsong; Tammy Tinny V. Pangow; Jerry Heisye Purnama; Jedithjah Naapia Tamedi Papia
Frontier Advances in Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i2.572

Abstract

Transparent glass packaging inspection presents significant challenges for automated quality control systems due to optical complexities including reflections, refractions, and low-contrast defect patterns. This research develops a comprehensive multi-stage computer vision framework integrating specialized algorithmic modules with ensemble machine learning for real-time defect detection in industrial glass packaging lines. The framework implements four specialized detection stages: (1) meniscus-corrected liquid level measurement using dual-camera validation and polynomial surface fitting, (2) seal integrity assessment through Circular Hough Transform combined with geometric, texture, and color feature extraction, (3) lid positioning evaluation via calibrated geometric centroid analysis with tolerance-based classification, and (4) multi-method contamination detection integrating color aberration analysis, histogram-based particle detection, and morphological operations. The system employs an ensemble classification architecture combining modified MobileNetV2 convolutional neural network with Random Forest classifier, optimized for edge computing deployment. Industrial validation at PT AQUWAR Bintang Semesta demonstrated 91.6% overall detection accuracy with 347 milliseconds average processing time per container across 2,847 test samples spanning multiple defect categories. The modular framework architecture enables independent optimization of detection stages while maintaining real-time processing capabilities, providing a robust foundation for transparent packaging quality control in high-volume manufacturing environments.
Experimental Investigation of Square Pin Fins Geometry Variations with Aligned and Staggered Arrangements Under Forced Convection Heat Transfer Nimesh Limbasiya; Sagar Mane Deshmukh
Frontier Advances in Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i2.622

Abstract

This research was conducted to determine the heat transfer characteristics of pin fins with variations in square, diamond, and combination (diamond-square) geometries. The heat transfer that occurs in the pin fins is a type of forced convection heat transfer. The research experiment used a TD1005 free and forced convection equipment with inline and staggered pin fin arrangement. The dimensions of the pin fin used are a height of 73 mm and a side of 10 mm, and a base plate measuring 101 mm x 101 mm. The material used is type 6061 aluminum. The maximum convection coefficient values for all power variations are in variations of square geometry and staggered arrangement, as well as for the Nusselt number, which has the same correlation with the convection coefficient results. The performance of the use of fins indicated on the effectiveness value for all variations suggests that it is suitable for use on the device, however, the efficiency of the pins demonstrates that the combination (diamond-square) for aligned and staggered arrangement produces the best results.
Fake Signature Recognition Using Convolutional Neural Network with ResNet-18 Architecture Abdul Aziz Al Basyir; Kenan Almas; Big Daya Yudha Asmara
Frontier Advances in Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v3i2.626

Abstract

Signatures remain one of the most widely accepted forms of personal authentication in official document validation. However, offline signature recognition is inherently challenging because genuine signatures may vary across instances, while forged signatures can closely resemble authentic ones. These conditions make manual verification subjective, inefficient, and susceptible to human error, especially in high-volume document processing. This study proposes an automatic offline signature recognition approach using a deep learning framework based on a Convolutional Neural Network (CNN) with a ResNet-18 architecture. A total of 1,038 signature images were used and divided into training, validation, and testing sets to evaluate model performance under different training epochs and optimization settings. The experimental results show that the best performance was achieved by the Adam optimizer at epoch 25, with an accuracy of 59.5%. Nevertheless, the overall classification performance remained limited, indicating that the model struggled to learn sufficiently robust discriminative features for reliably separating genuine and forged signatures. These findings suggest that offline signature recognition remains a difficult task when formulated as a simple binary image classification problem, particularly under conditions of high visual similarity between classes and limited data variation. The study highlights the need for improved training strategies, more suitable verification-oriented protocols, and more comprehensive evaluation metrics to enhance the reliability of automatic signature recognition systems.
Effect of Synthesis Methods on the Characteristics of Fe₃O₄/rGO Nanocomposites and Their Potential for Electrochemical Sensing: A Systematic Review Indrawan Eka Badri; Kormil Saputra; Dian Wijaya Kurniawidi; Ishmah Luthfiyah
Frontier Advances in Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v4i1.644

Abstract

Fe3O4/rGO nanocomposites have attracted considerable attention for electrochemical sensing because they combine the high electrical conductivity and large surface area of reduced graphene oxide (rGO) with the magnetic and electrocatalytic properties of Fe₃O₄. This systematic review aims to evaluate recent advances in Fe3O4/rGO nanocomposites published between 2021 and 2026, with particular emphasis on the relationships among synthesis methods, material characteristics, and electrochemical sensing performance. The review was conducted following the PRISMA 2020 guidelines using Scopus, PubMed, and ScienceDirect databases. After systematic screening based on predefined inclusion and exclusion criteria, five eligible experimental studies were included in the qualitative analysis. The findings demonstrate that synthesis parameters strongly influence the morphology, crystallinity, interfacial interactions, and electrochemical properties of Fe3O4/rGO nanocomposites. Hydrothermal and solvothermal methods generally produce more homogeneous and crystalline structures, whereas green synthesis and waste-derived precursors offer environmentally sustainable alternatives. Furthermore, multi-component systems incorporating conductive nanomaterials or polymers exhibit enhanced sensing performance through improved electron transfer and larger electroactive surface areas. Overall, Fe3O4/rGO nanocomposites represent a promising platform for electrochemical sensors and biosensors. Future research should focus on synthesis standardization, comprehensive material characterization, reproducibility, and sustainable fabrication strategies to accelerate practical sensor development.
Development and Critical Performance Evaluation of an ATmega328–ADXL335 Ground-Vibration Monitoring System for Preliminary Ambient-Noise Measurements Yolanda Ramadhanty Putri; Menasita Mayantasari; Febrian Dedi Sastrawan; Rahmania Rahmania; Meidi Arisalwadi
Frontier Advances in Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v4i1.671

Abstract

Affordable vibration-monitoring platforms can broaden access to seismic instrumentation for education, preliminary field screening, and dense observational networks; however, low cost does not by itself guarantee that a device can resolve weak ambient ground motion or support defensible site-frequency estimates. This study developed and critically evaluated a compact three-component acquisition system integrating an ADXL335 analog accelerometer with the ATmega328P microcontroller of an Arduino Uno R3. The prototype converted analog outputs from the x, y, and z axes into digital acceleration records, displayed the data through the Arduino serial interface, and exported the time series for processing in Geopsy. Bench testing with an oscilloscope produced stable sinusoidal responses of 50.20, 50.10, and 50.30 Hz for the x, y, and z channels, respectively. One-hour measurements were then conducted at five field points. Geopsy returned prominent spectral peaks at 6.8, 3.3, 4.8, 4.2, and 5.02 Hz, while the reported axis-wise consistency indices ranged from 82.32% to 99.98%. The prototype therefore demonstrated functional three-axis acquisition and repeatable electronic response. Nevertheless, the documented one-second logging interval corresponds to a 1 Hz sampling rate and a 0.5 Hz Nyquist frequency; consequently, peaks above 0.5 Hz cannot be interpreted as validated physical site frequencies unless a substantially higher raw sampling rate existed before data decimation. In addition, the absence of reference-seismometer calibration, self-noise characterization, timing verification, and explicit uncertainty analysis prevents the reported percentages from being treated as metrological accuracy. The system is thus best regarded as a proof-of-concept platform for ground-vibration education and hardware development.
Alternative Public Transport Route Planning of Balikpapan–Nusantara New Capital City (IKN) using PTV VISUM Arief Hidayat; Khairi Ahza Hail Keliwar; Ummu Kultsum Muhammad; Dion Putra Kurniawan
Frontier Advances in Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v4i1.696

Abstract

The development of Nusantara Capital City (IKN) has increased the importance of regional connectivity between IKN and Balikpapan as one of its supporting cities. However, the development of public transport routes connecting the two areas requires consideration of travel demand, road network characteristics, and connectivity with existing transport services. This study aims to develop and compare alternative public transport routes between Balikpapan and IKN using PTV VISUM. The study employed a quantitative approach based on the Four Step Model, consisting of trip generation, trip distribution, mode choice, and trip assignment. Primary data were collected through a Home Interview Survey involving 400 respondents, while secondary data included road networks, land use, and existing public transport services. Travel demand was represented through an Origin-Destination Matrix and assigned to the modeled network in PTV VISUM using the User Equilibrium method. The analysis produced two alternative routes connecting Batu Ampar Terminal in Balikpapan with the IKN Rest Area. Route 1 covers 88.9 km through the non-toll Samboja–Sepaku corridor, whereas Route 2 covers 80.7 km through the Balikpapan–IKN Toll Road and connects with IKN VVIP Airport. Route 2 provides an 8.2 km shorter corridor, while both alternatives offer different network and service characteristics. These findings provide an initial basis for developing Balikpapan–IKN public transport by integrating travel demand, network characteristics, route length, and connectivity with strategic transport nodes.
Acoustic Signal Monitoring System for Submerged Environments Ahmad Zarkasi; Khafidawati Saputri Sabir; Kholis Nurhanafi; Syahrir Syahrir; Mislan Mislan; Rahmawati Munir; Auliya Rahmatul Ummah
Frontier Advances in Applied Science and Engineering Vol. 4 No. 1 (2026)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v4i1.697

Abstract

Passive acoustic monitoring offers a non-invasive means of detecting biological, geophysical, and anthropogenic sound sources in aquatic environments, but the cost and availability of commercial recorders can limit field use. This study developed a portable, low-cost acoustic recorder comprising a waterproofed condenser microphone, a pre-amplifier, and an adjustable high-pass filter, and evaluated it against a Dolphinear DE200 reference instrument. Preliminary frequency-linearity tests produced coefficients of determination of 0.99978 for the reference instrument and 0.99981 for the proposed instrument. Airborne tests were conducted from 200 Hz to 20 kHz, followed by underwater tests at nominal source frequencies of 1, 2, 5, 10, 15, and 20 kHz. Both instruments localized the principal spectral peaks close to the imposed frequencies. Activating the filter suppressed low-frequency components, including the 200 Hz airborne tone, while signals from 500 Hz to 20 kHz remained detectable. Underwater measurements showed source-related peaks near 0.991, 1.981-2.024, 4.996, 9.991, 14.987, and 19.983 kHz; however, the 20 kHz condition approached the upper edge of the acquisition band and should be interpreted cautiously. Because the prototype sensor chain was not pressure-calibrated, the amplitude spectra represent relative intensity rather than absolute sound pressure level. The prototype therefore provides a promising proof of concept for affordable audible-band underwater detection and educational or exploratory monitoring, while quantitative environmental deployment will require hydrophone calibration, replicated signal-to-noise measurements, and validation under controlled geometry.

Page 4 of 5 | Total Record : 41

 1   2   3   4   5 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 1 (2026) Vol. 3 No. 2 (2025) Vol. 3 No. 1 (2025) Vol. 2 No. 2 (2024) Vol. 2 No. 1 (2024) Vol. 1 No. 2 (2023) Vol. 1 No. 1 (2023)