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INTEK: Jurnal Penelitian
Published by Politeknik Negeri Ujung Pandang
ISSN : 23390700     EISSN : 26155427     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
INTEK is a journal managed by the Journal and Publication Development Unit of Ujung Pandang State Polytechnic, which is published twice a year, in April and October. The journal INTEK has also been indexed. The INTEK Journal accepts research scripts in the fields of technology and engineering such as: Electrical, Mechanical, Civil and Chemical Engineering.
Arjuna Subject : Umum - Umum
Articles 211 Documents
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Advancements in Bamboo-Based Cushioning Material Manufacturing Massaguni, Massriyady; Muhammad Irwan
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5067

Abstract

The study focuses on producing cushioning packaging material from bamboo fibers. The effects of varying the surface treatment duration and the proportions of foaming agents, adhesives, plasticizers, cross-linking agents, and other components were analyzed in terms of foam density, foaming rate, elasticity, and bubble size. The optimal reagents and the ideal ratios for the different components were identified. The parameters for the foaming process were determined based on a high-efficiency, eco-friendly foaming mechanism. Impact testing was conducted to obtain curves for maximum acceleration versus static stress, dynamic stress versus strain, and dynamic buffering factor versus stress. The study examined the dynamic buffering performance as a function of drop height and compared it to other cushioning materials. The findings indicate that at a height of 450 mm, the bamboo pulp product exhibited a lower peak acceleration value than EPE and EPS in the stress range of 2.8-5.4 kPa, indicating superior cushioning performance under these conditions.
A Tomato Sorting Automation Prototype Based on Color: Prototype Otomasi Penyortir Buah Tomat Berdasarkan Warna Zain, Abdul; Zainal, Isradi; Tungga, Rifaldy Atlant
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5075

Abstract

Abstract—The process of sorting tomatoes can be done using visual methods by paying attention to color. The purpose of this research is to improve the process of sorting tomatoes based on color in distinguishing ripe tomatoes and immature tomatoes. Streamline the time of sorting tomato fruit in order to avoid losses due to spoilage. This research method is with a sample of tomato fruit taken RGB value through TCS 3200 color sensor according to the level of maturity. After the RGB value is obtained, it will be processed into the Arduino Uno to obtain maturity information through the rules that have been made and sorted using a servo motor. The results of this study indicate that a good condition for detecting tomato fruit is with a closer distance to the fruit with a dark background. This is because there is no excess light reflection so that the TCS sensor can take RGB values well and reduce the occurrence of misreading of ripeness information in the sorting process. Keywords— Tomato, Sensor TCS 3200, Arduino uno, Motor Servo.
Development of a Light Intensity Monitoring System in Broiler Chicken Coops Based on Arduino IoT Cloud Habibuddin, Julianti; Azis, Muhammad Fadli; Azis, Nuritasari
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5085

Abstract

The lighting system significantly influences the growth and productivity of broiler chickens, necessitating an efficient tool for monitoring light intensity in chicken coops. This study aims to design and develop an Arduino IoT Cloud-based light intensity monitoring system for broiler chicken coops. The system employs two BH1750 light sensors, positioned inside and outside the coop, to measure light intensity, which is then processed by an ESP32 microcontroller. The collected data is displayed on a 16x2 LCD screen and uploaded in real time to the Arduino IoT Cloud platform for remote monitoring. Testing conducted over a 6-hour period revealed that light intensity inside the coop remained stable at approximately 30 lux from 09:30 to 12:52, while the highest external light intensity reached 400 lux between 12:06 and 14:40, followed by a decrease after 14:50. These findings indicate that the system can assist farmers in timely actions, such as opening or closing coop curtains, through effective monitoring via the Arduino IoT Cloud platform.
Analisis Sudut Mata Potong Utama Pahat HSS dan Kedalaman Pemakanan Terhadap Kesilindrisan Baja ST 60 Pada Proses Bubut Memanjang Frans Robert Bethony, Robert Bethony; Martina pineng; Christof Geraldi Simon
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5151

Abstract

This study aims to analyze the main cutting edge angle of HSS (high speed steel) chisel and the depth of cut on the cylindricity of ST 60 steel workpiece in the longitudinal turning process. The material used is ST 60 steel with a specimen length of 200 mm and a diameter of 30 mm and turned along 200 mm using variations of the main cutting edge angle, Kr (30, 45, 60, 90o) and the depth of cut, a (0.5; 1; 1.5; 2.0 mm) and other variables are set at constant conditions. Based on the results of this study, it can be concluded that the variation of the SS chisel cutting angle in the turning process produces an average total cylindricity value at a cutting angle of Kr 30o = 0.95 mm, Kr: 45o = 0.65 mm, Kr: 60o = 0.45 mm in other words, it can be concluded that the optimal cylindricity value occurs at a cutting angle of 90o = 0.15 mm. While the average cylindricity value at a cutting depth of a: 0.5 mm = 0.25 mm, a: 1 mm = 0.35 mm, a: 1.5 mm = 0.55 mm, a: 2.0 = 0.60 in other words that the optimal total cylindricity value is obtained at a cutting depth of 0.5 mm.
Implementation of Fast Track Method to Accelerate Construction Project Scheduling Muin, Suriati Abd.; Watono; Alimuddin, Evi Gusmiarni; Ridwan, Siti Huriyah Shatara
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5170

Abstract

In a project, the planning stage is the key to success because it determines the allocation, funding, time and quality to be achieved. In order for work efficiency and effectiveness to be fulfilled properly, the implementation of the project is influenced by planning and scheduling factors. Construction project control is a systematic activity or effort to determine standards that are in accordance with the planning objectives, compare implementation with planning, and make necessary corrections so that costs, resources, and time can be used effectively and efficiently in order to achieve the desired construction project goals. If there is an imbalance between the plan and the realization of the work, then the project may experience delays like what happened to the Lantamal VI Makassar Naval Pier project. The project experienced several delays in work and required rescheduling, so a special method was needed that could speed up the project implementation time. The purpose of this study is to accelerate the duration of work and get project costs after implementing the fast track method. The results of implementing the fast track method can reduce the time by 64 days or experience a time acceleration of 20.9% from the initial duration of 306 days, the total project cost before the acceleration is Rp. 50.365.788.654,89 After acceleration with the fast track method which affects the overhead cost to Rp. 49,312,386,539, the total cost reduced is Rp. 1,053,402,116 or a savings of 2.09% of the total cost.
Intelligent Fault Prediction in Diesel Engines: A Comparative Study of SVM and BPNN for Condition-Based Maintenance Nurdin, Fadli; Effendi, Mohammad Khoirul
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.5362

Abstract

This study discusses the application of Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN) in predicting diesel engine health based on operational data relabeled using K-Means Clustering. Two types of SVM kernels were tested, namely Radial Basis Function (RBF) and Sigmoid, with various parameter combinations. The results indicate that SVM with Sigmoid kernel achieved an accuracy of 94.06%, but was less sensitive in detecting unhealthy engine conditions. In comparison, the BPNN method with a three-hidden-layer configuration (1-2-1 neurons) and tansig activation function showed superior performance with 97.13% accuracy, MSE of 0.03, recall of 94%, precision of 100%, and F1-score of 97%. These findings prove that BPNN outperforms SVM in capturing complex data patterns and is more accurate in detecting unhealthy engine conditions. Additionally, relabeling the dataset significantly improved predictive accuracy from 72.3% to 97.13%, highlighting the importance of balanced data in modeling. Overall, this study demonstrates that optimally configured BPNN is more effective in predicting diesel engine health than SVM, making it a more reliable approach for engine condition monitoring.  
Pemodelan Denial of Service: Pengukuran Waktu dan Penggunaan CPU pada Serangan GraphQL Ginting, Debora Natalia; Widjajarto, A.; Hediyanto , Umar Yunan Kurnia Septo
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.4943

Abstract

GraphQL is a query language that allows clients to request specific data from an API, making it more efficient and flexible compared to traditional REST APIs. This makes applications faster and more efficient by reducing data over-fetching, combining various data sources into a single request, and supporting schema changes without disrupting the integrity of existing applications. This study focuses on security testing and exploiting Denial of Service (DoS) vulnerabilities within GraphQL APIs. As a query language that is growing in popularity, GraphQL offers flexibility in data retrieval but is also vulnerable to DoS attacks. The research centers on DoS attacks using various exploitation techniques such as Circular Queries, Field Duplication, Alias Overloading, and Object Limit Overriding. Testing was conducted using the Kali Linux operating system and testing applications such as Altair and DVGA, employing the Threat Modeling Attack Tree method. The results of the testing show that the Field Duplication attack is the most effective, with the fastest execution time and relatively high CPU usage (2.5 seconds/88.5% reduced to 1.86 seconds/75.50%), while the lowest risk was found in Alias Overloading (1412.05 seconds/99% reduced to 691.29 seconds/93%). Although Alias Overloading posed the lowest risk, it still resulted in high CPU usage, burdening the server significantly. This study provides an understanding of the importance of testing and strengthening API security to prevent DoS attacks. Keywords— API GraphQL, Attack Tree, Denial of Service, exploitation, Cpu, Time
Investigating the Effect of PV Panel Mounting Orientation under Partial Shading Conditions (A Simulation-Based Study) Usman, Usman; Achmad , Alamsyah; Sofyan , Sofyan; Sirad, Mochammad Apriyadi Hadi; Hidayatullah, Syarif; Isman, Muh
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.5174

Abstract

This study aims to investigate the effect of shading on the mounting orientation of PV panel and the availability or unavailability of Bypass Diodes on the performance of PV panel under partially shading conditions. In this study, for each PV panel mounting orientation, the number of PV cells that received shading was grouped into three categories: 9 cells, 18 cells and 27 cells respectively with the shading fixed vertically. The study also considers the availability and unavailability of bypass diodes. The simulation results show that with vertical shading partially covering the PV cells, the landscape mounting orientation is the best orientation for PV panels with bypass diodes to avoid the partial shading effect
Algoritma Reversible Data Hiding dalam Mengamankan Karya Seni Gambar Digital Sadewa, I Made Aditya Putra; Wahyudi, Bambang Ari; Palupi, Irma
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.5193

Abstract

In today's digital era, protecting digital artworks, particularly images, has become increasingly important to prevent copyright infringement and forgery. This paper proposes a novel method for embedding secret data into images using Reversible Data Hiding (RDH) techniques that leverage histogram shifting and random sub-blocks. The method is designed to maintain the visual integrity of the image while allowing the insertion of critical information, such as copyright metadata. The dataset used consists of 13 digital artworks sized 1280x720 pixels in PNG format, reflecting a diversity of textures and colors. Experimental results demonstrate that the proposed method achieves a high embedding capacity with PSNR values exceeding 37 dB, indicating excellent image quality post data insertion. Additionally, the method exhibits resilience against illegal modifications, with the ability to detect changes in images that have had data embedded. By integrating a PIN-based authentication system, the method enhances the security and integrity of the embedded information. This research significantly contributes to the field of digital artwork protection, offering an effective solution to preserve the authenticity and aesthetic value of images while enabling secure and reversible data insertion. The findings underscore the potential of RDH techniques in safeguarding sensitive information across various applications, ensuring that digital artworks can be both protected and enjoyed without compromising their quality.
Perbandingan Analisis Sentimen pada Ulasan Aplikasi Sirekap Menggunakan Support Vector Machines dan Naive Bayes Khalid, khalid; Wijaya, Rifki; Bijaksana, Moch Arif
INTEK: Jurnal Penelitian Vol 12 No 1 (2025): April 2025
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v12i1.5196

Abstract

This research analyzes the sentiment reviews of the SIREKAP application on the Google Play Store using two machine learning algorithms, namely Naïve Bayes and Support Vector Machine (SVM). The dataset used consists of 19,925 reviews that have gone through preprocessing stages, including text cleaning, stopword removal, stemming, and tokenization. To overcome data imbalance, oversampling and undersampling techniques were applied. Furthermore, TF-IDF is used for feature extraction, converting text into numerical representation. The dataset is divided into 80% training data (15,940 data) and 20% test data (3,985 data). The results show that oversampling provides better performance than undersampling. In the oversampling method, the SVM algorithm achieved the highest accuracy of 95%, with consistent precision, recall, and F1-score values across all sentiment classes. The Naïve Bayes algorithm also performed quite well, with an accuracy of 77% on the oversampled data. In contrast, in the undersampling method, both algorithms have the same accuracy of 61%. This study confirms that the combination of oversampling technique and SVM algorithm is the best approach to handle imbalanced data and provides important insights into user perception of the SIREKAP application.

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