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Contact Name
Faisal Mahmuddin
Contact Email
f.mahmuddin@gmail.com
Phone
+6285256472414
Journal Mail Official
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Editorial Address
Lantai 1, Gedung Center of Technology Kampus Fakultas Teknik, Universitas Hasanuddin Jalan Poros Malino km. 6, Bontomarannu, Gowa
Location
Kota makassar,
Sulawesi selatan
INDONESIA
EPI International Journal of Engineering
Published by Universitas Hasanuddin
ISSN : 26155109     EISSN : 26210541     DOI : https://doi.org/10.25042/epi-ije
EPI International Journal of Engineering (EPI-IJE) is published and managed by Center of Technology, Faculty of Engineering, University of Hasanuddin (CoT, FoE, UNHAS), Indonesia. The main objective of this international journal is to create publishing opportunities and to disseminate knowledge in engineering-related topics collected from all over the world. A wide range of topics may be accepted, including from both conventional engineering and newly developed fields. Multi-disciplinary and Inter-disciplinary fields are encouraged to submit, and the topic on engineering education is also welcome. Manuscripts should be in English only. This journal system is open free-access to public in electric form, and the paper-form journal is also available. No fee is charged to accepted papers. On acceptance of submitted paper, authors are asked to submit a short copy-right form, but the authors have rights to reuse their work. The submitted manuscripts are under peer review at least by two reviewers, and publication is made biannually.
Articles 168 Documents
Modeling and Simulation of a Double-Stage Single-Phase Grid-Connected PV System Channareth Srun; Phok Chrin; Sokchea Am; Bunthern Kim
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.03

Abstract

This paper presents the design model and simulation of a double-stage single-phase grid-connected PV system. This system includes an MPPT DC-DC boost power converter and a transformer-less single-phase DC-AC power inverter, which is connected to the power grid with an LCL filter. In the DC-DC boost converter, the Perturb and Observe algorithms are combined. The output voltage of the DC-DC converter is regulated, and the DC/AC output voltage is synchronized with the grid. The MATLAB-Simulink environment is used for the closed-loop simulation of the proposed setup. The simulation results are presented for various solar irradiance conditions and show that photovoltaic current is generated and matches the phase of grid voltage.
Clustering Mining Equipment Productivity Data Using K-Means Algorihtm Muh Sandi Arista Ikhsan Yahmid; Tony Chen; Muhammad Emirat Millenium Try; Karno Nugroho Silangin; Nurul Alifia Putri; Aryanti Virtanti Anas
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.04

Abstract

There are many factors that affect the productivity of mining equipment, one of which is the condition of the mining equipment when it is used. Knowing the condition of the machines on mining equipment is mandatory for supervisors in mining activities. In analyzing data on the condition of mining equipment in large quantities requires a lot of energy and time, so a classification model is needed that can categorize the mining equipment based on its performance. Data Mining is a process that uses statistical, mathematical, artificial intelligence and machine learning techniques to extract information. The results of data mining for mining productivity data are obtained duration of mining equipment work has a impact on productivity based on correlation value between work duration and maintenance duration of a tool. Data mining analysis is also carried out by clustering mining equipment using the K-Means model. The results obtained a conclusion that supports mining equipment with less working duration affects to productivity. The result shows variables that affect the productivity of mining equipment and divide mining equipment categories based on tool performance with data mining clustering techniques.
Natural Frequencies of Isotropic Rectangular Plates in Improved Accuracy Yoshihiro Narita
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.05

Abstract

The objective of this paper is to present comprehensive lists of accurate natural frequencies of isotropic thin rectangular plates. For this purpose, a simple yet very accurate analytical approach is described to study the free vibration of the plates. In numerical computations, convergence and comparison studies are conducted to check accuracy of the present solution and to demonstrate improvement of numerical solutions in the results. Twenty-one tables are then provided to give the lowest six frequency parameters for all possible combinations of three typical edge conditions (clamped, simply supported and free edges). Each frequency value in the tables is given in five significant figures for non-Levy type problem (i.e., two opposite edges not simply supported) and six significant figures for Levy type problem. These results are presented for five different aspect ratios in the same format of the past representative reference.
Characteristic of Vibration Signal from Cutting Tool Against Steel ST60 for CNC Turning Monitoring System Muh Fachrul; Ahmad Yusran Aminy; Azwar Hayat
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.06

Abstract

Kondisi insert secara signifikan mempengaruhi kualitas produk dan efisiensi pembuatan mesin bubut. Studi ini menggunakan distribusi kerapatan spektral daya dari sinyal getaran accelerometer mesin bubut CNC untuk merancang sistem klasifikasi kondisi sisipan pahat yang dapat diterapkan pada kondisi pemesinan yang berbeda. Untuk empat kondisi sisipan pemesinan bubut yang umum (yaitu tepi terpasang, keausan flank, normal, dan fraktur), Dalam hal ini, sistem klasifikasi kondisi sisipan dibuat dengan dua tahap—pemodelan kondisi sisipan dan fusi model pemesinan. Pada tahap pemodelan kondisi insert, fitur magnitudo frekuensi tersegmentasi ditangkap menurut distribusi kerapatan spektral daya dari sinyal getaran akselerometer. Root mean square error (RMS) dan Fast Fourier Transform (FFT) dihitung untuk melakukan studi prediksi getaran menggunakan alat potong bubut. hasil sinyal mentah pada kondisi percobaan baru, nilai RMS berada pada kisaran 6,24-6,23, dan FFT 0,0007-0,0009. kondisi baik, kondisi sinyal mentah menunjukkan nilai RMS berada pada kisaran 54.36-67.08 dan FFT 0.0068-0.0080, kondisi sinyal mentah sedang, nilai RMS 83.05-112.07, dan nilai FFT 0.0089-0.0147, buruk Kondisi raw signal nilai RMS 125.14-152.09 dan nilai FFT 0.0137-0.0178. Dapat disimpulkan bahwa data terbaik yang dapat digunakan untuk proses prediksi kerusakan mata alat menggunakan metode cluster data dengan menggunakan nilai tegangan RMS pada sinyal mentah dan magnitudo pada proses FFT adalah data pengukuran tegangan RMS untuk sinyal mentah karena data sinyal mentah menyediakan rentang pengukuran yang luas. berbanding lurus antara kerusakan bilah alat dan peningkatan voltase di RMS, dan cluster data dikelompokkan dengan baik.
Performance of TEC Cascade on Input Voltage Variations in Fish Cooler Box Zuryati Djafar; Sabiqunnas sabiqun; Wahyu Haryadi Piarah
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.07

Abstract

The refrigeration system used to meet the needs of human life can be in the form of a thermoelectric cooler (TEC). Due to its small volume, environmental friendliness and several other advantages, TEC can be widely applied such as in fish cooler box. In this study, the cooler box used had dimensions of 290mm x 205mm x 254mm and were given twelve stacked 3 TEC modules with varied DC voltages. The purpose of this study is to determine the voltage that can provide the best TEC performance. This performance will be indicated by the Coefficient of Performance (COP) value of each voltage variation. The experimental results show that the best performance of the TEC is at 42 Volts. The lowest temperature achieved during the experiment was 7.74℃ on the cold-side.
Classification Freshness of Red Snapper (Lutjanus Campechanus) Based on Eye Image Using Convolutional Neural Network Muh Subhan; Nursakinah Nursakinah
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.08

Abstract

Indonesia is a maritime country where fish is the most widely extracted and consumed marine natural resource, one of which is snapper. Snapper contains high protein. Therefore, it is suitable for health. Red snapper or Lutjanus campechanus is one economical fish with a broad market share. Red snapper is a demersal fish group that ranks third with the most exported commodities after tuna and shrimp. In addition, snapper is one of the most common consumption fish in Indonesia. Therefore, the community needs to be able to identify the freshness of the fish. Fish freshness detection is done manually by touching the fish's body, eyes, and gills. However, this can cause accidental damage to the fish parts, which will be very detrimental. Several studies on identifying fish freshness explain that the VGGNet-16 Architecture on the Convolutional Neural Network algorithm is superior in its modeling performance. This research uses a different fish object, a red snapper object, with two different architectures from several previous studies, namely the Le-Net15 and VGGNet-16 architecture. This research focuses on the eye image carried out through the pre-processing data stage by cutting the fish body, followed by augmentation to reproduce the image data without losing its essence before training the dataset. The model will be trained using the Adam optimization method with very fresh and not fresh predictions. The experimental results of the classification of two classes of red snapper freshness using 600 fish images show that VGGNet-16 achieves the best performance compared to the LeNet-5 architecture, where the classification accuracy reaches 98.40%.
Thermal Sensation Analysis in the Building of Universitas Ichsan Gorontalo Siti Khairunnisa Abay; Baharuddin Hamzah; Rosady Mulyadi
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.10

Abstract

Gorontalo City is characterized by a tropical climate, where thermal comfort is a crucial component to achieve, particularly for educational activities aimed at students. The thermal comfort is affected by various factors, namely building design, internal, and external factors. The university building represents a facility where face-to-face learning and teaching activities occur. The purpose of the current study is to analyze the perceived thermal comfort of students during classroom activities with three different air conditioning (AC) settings (16, 22, and 27 oC) in theUniversitas Ichsan Gorontalo campus building. This research employed a quantitative descriptive method, comprising thermal measurements inside the classroom and questionnaire distribution to students to collect thermal sensation data. The research object was conducted in three separate classrooms during the time range of 08.00-15.00 Central Indonesia time. The results revealed that most students felt neutral and comfortable in the three different AC settings inside the classroom. Nevertheless, it should be noted that thermal comfort could be influenced by other factors, such as physical activity and clothing. Consequently, further research could be conducted by taking into consideration these factors and engaging the participation of teachers and staff to acquire a more comprehensive understanding of thermal comfort in the campus building.
Semiotic Perspective of Characteristics and Meanings of Hunto Sultan Amai Mosque Ornaments in Gorontalo Asmin Salongi; Afifah Harisah; Ria Wikantari
EPI International Journal of Engineering Vol 5 No 1 (2022): Volume 5 Number 1, February 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022022.09

Abstract

A mosque is a well-known form of architecture in the Islamic community, serving as a center for religious activities and a symbol of Islamic identity. The Hunto Mosque in Gorontalo City, Hohuntonga, which means a gathering place, is known for its beautiful architectural design which owes much to the role of the ornaments adorning the building. This research aims to describe and interpret the characteristics and meanings of the ornaments in the Hunto Sultan Amai Mosque, as well as identify the factors that shape their characteristics. A qualitative method with Roland Barthes' (1986) semiotic approach was employed, and data was gathered through observation, interviews, and documentation. The results reveal that the ornamentation in the mosque consists of geometric and floral shapes, with square patterns and lotus flower motifs, colored in white and gold and made of paint. The most prominent placement of these ornaments is on the mosque wall elements. The square shape has meaning “symbol of physical experience and the physical world of materiality”, while the lotus flower represents adaptation and idealism. White signifies purity, while gold symbolizes triumph and power. The characteristics and meanings of the ornaments are formed from Arab and Malay architecture.
Application of JavaScript Code Similarity Detection for Assessment of Web Programming Assignment Muhammad Niswar
EPI International Journal of Engineering Vol 5 No 2 (2022): Volume 5 Number 2, August 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082022.01

Abstract

Students tend to copy programming assignments from their classmates in programming courses. Students copy codes in various ways, such as changing variable names and code structure order. Lecturers spend much time checking programming assignments, especially when the number of students enrolled in the course is large. They must check whether students have completed their programming assignments individually or copied their classmates' assignments. We developed a JavaScript code similarity detection application for web programming coursework using lexical analysis and Jero Winkler's Algorithm. Our application can detect the level of the students’ programming assignment similarity and assist the lecturer in deciding on plagiarism.
The Evaluation of Urban Eco Drainage System in Makassar Andi Subhan Mustari; Riswal Karamma; Evi Aprianti
EPI International Journal of Engineering Vol 5 No 2 (2022): Volume 5 Number 2, August 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082022.02

Abstract

The objective of study is to reduce surface water runoff in low-lying areas that potentially occurred flooding. The concept of environmentally friendly drainage is the right choice to be applied in reducing the potential for flooding and sediment buildup, especially in areas with small water absorption. The quantitative method used to analyze hydrological and flood discharge then evaluated canal capacity in urban area. Rainfall data and population development for 10 years are used to determine the planned discharge with a certain return period according to actual conditions. The result show that from the 4 types of primary canals, an average of 1.03 m3/sec can be obtained. while the evaluation results for the secondary channel obtained 7 channels with a reduced average inundation discharge of 1.97 m3/s. It can be said that the application of infiltration wells is quite effective to be used as an alternative solution in reducing inundation of urban area.