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Infotekmesin
Published by Politeknik Negeri Cilacap
ISSN : INFOTEKMES     EISSN : 26859858     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
INFOTEKMESIN is a peer-reviewed open-access journal with e-ISSN 2685-9858 and p-ISSN: 2087-1627 published by Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Cilacap. The journal invites scientists and engineers to exchange and disseminate theoretical and practice-oriented in the various topics include, but not limited to Informatics, electrical Engineering, and mechanical Engineering.
Arjuna Subject : -
Articles 636 Documents
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Analisis Kualitas Aplikasi Grabag Guide Menggunakan Standar ISO/IEC 25010 Setiya Putra, Yusuf Wahyu; Sutiyatno, Sukris; Yusnanto, Tri; Susilo, Gatot; Rafidan Birul Arzaq, Muhammad
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2240

Abstract

The Grabag Guide application was created in 2023 and is used by more than 200 users and there are problems in terms of user ease in accessing information in the application. The aim of this research is to analyze the quality of the Grabag Guide Android application using the ISO/IEC 25010 standard and provide recommendations for improving the quality of the application. The method used is a quantitative method where data from respondents is used as many as 42 users. The questionnaire results were analyzed using the Structural Equation Modeling (SEM) model. The result is that of the seven hypotheses proposed, six hypotheses have a positive and significant effect on application performance. Functional outcome scores (CR 1.980), compatibility (CR 1.825), ease of use (CR 2.225), reliability (CR 4.150), security (CR 3.789), maintainability (CR 2.631), and portability (CR 2.067). In conclusion, the important feature is compatibility, so this feature can be prioritized when evaluating the quality of the Grabag Guide application. The results of this research can be used as parameters for creating quality tourism applications in other sub-districts in Magelang Regency.
Analisis Pengaruh Penambahan Serbuk Pelepah Kelapa Sawit Pada Komposit Berbasis Semen Untuk Peredam Panas Ary Wahyudie, Ilham; Rachmadini, Sulistiana; Riva’i, Muhammad
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2259

Abstract

In palm oil plantations, the fruit and empty bunches are usually used, while waste such as oil palm fronds (PKS) is often disregarded. However, pruned PKS can be utilized in the production of environmentally friendly building materials that serve as heat insulators. PKS waste can be used as an additional aggregate to create eco-friendly bricks by grinding it into powder and mixing it with sand and cement. A multilevel factorial experimental design was used to vary the percentage of PKS powder and the sand-cement ratio. The analysis results showed that the addition of PKS powder significantly improved heat insulation, resulting in a temperature reduction of up to 19.54°C in a mixture containing 20% PKS powder and a sand-cement ratio of 2:1. The percentage of PKS powder also significantly influenced heat insulation capacity, with an F-value of 7.0 compared to an F-table value of 3.88. Additionally, the interaction between the sand-cement ratio and the percentage of PKS powder had an F-value of 19.56, indicating a solid impact on heat insulation capability.
Analisis Simulasi Numerik Defleksi Balok Baja ST60 dengan Variasi Pembebanan dan Tumpuan Muhammad Syaiful Fadly; Mustafa; Muhammad Ikram Kido; Muhammad Ghazali Arrahim
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2268

Abstract

This research aims to analyze the deflection that occurs through numerical simulation using Ansys Software in static structural modeling on an ST 60 steel square beam. The variables in this study are loads of 10, 15, and 20 N, as well as the types of supports, namely fixed-fixed, fixed-roller, and hinge-roller. The results show that the larger the load, the greater the deflection that occurs. The maximum deflection occurs at a load of 20 N. The fixed-fixed and hinge-roller supports show maximum deflection at a distance of 400 mm, while the fixed-roller support shows maximum deflection at a distance of 450 mm. Among the three types of supports used in this study, the simple support (hinge-roller) results in greater deflection compared to the fixed-fixed and fixed-roller supports. The hinge-roller support results in a deflection of 1.212 mm, the fixed-roller support results in a deflection of 0.541 mm, and the fixed-fixed support results in a deflection of 0.302 mm..
Alat Deteksi Suara Gergaji Sebagai Indikasi Awal Terjadinya Penebangan Menggunakan Metode Convolutional Neural Network Surya Ningrum, Ana; Adianto; Indarti, Rini; Setiawan, Edy; Arfianto, Afif Zuhri; Ahmad Putra, Zindhu Maulana
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2304

Abstract

Illegal logging in Indonesia is no small problem, with illegal logging causing damage to forest resources in terms of quantity, quality and ecosystem. Many efforts have been taken by the Indonesian government, but it has not been effective in dealing with this problem, due to limited supervision. From this problem, a chainsaw sound detection system was designed as an early indication of logging activity. This system is equipped with four MAX4466 sound sensors using the Convolutional Neural Network method. This system also uses data processing so that the chainsaw sound can be recognized by the system specifically and can communicate remotely with the use of LoRa RFM95. Thus, the system can identify the sound of the chainsaw with a maximum distance of 50 m, the success accuracy of the CNN model created reaches 97.5%, and can be integrated with WhatsApp in realtime.
Desain dan Implementasi Pengolahan Citra Pada Sistem Autonomous Sentry Gun Menggunakan CMUCam5 dan Arduino Mega 2560 Eki Ahmad Zaki Hamidi; Firman Febrianto Asmoro; Mufid Ridlo Effendi
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2309

Abstract

Security is a top priority in various sectors, including military, industrial, and household security. Conventional security systems often require continuous human surveillance, reducing effectiveness and responsiveness. This research aims to address these issues by designing and implementing an Autonomous Sentry Gun system using the CMUCam5 module and Arduino Mega 2560 microcontroller. The system detects and tracks targets automatically, utilizing CMUCam5's vision tracking capabilities to identify objects based on color and shape. The Arduino Mega 2560 serves as the main processing unit, controlling motor movements and firing mechanisms based on data from the camera module. Test results show that the system can detect and follow targets with high accuracy under various lighting conditions. The color yellow with RGB code 255, 255, 0 has the longest tracking distance of 450 cm, while the color purple with RGB code 128, 0, 128 has the shortest tracking distance of 250 cm. This implementation is expected to be applicable in various fields requiring automated security systems.
Penyusunan Model Prediksi Konsumsi Energi pada Mesin CNC Milling untuk Mencapai Pemesinan Hijau T Wibowo, Yohanes; Manurung, Vuko A T
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2312

Abstract

CNC Milling Machine is a machine tool that has a large population but low energy efficiency. The machine tool industry consumes about 10% of the national energy, making it the second largest energy user after transportation sector. To obtain efficient machine performance, the motion in the machining process must be controlled by setting the proper machining parameters. However, there is a contradiction in that CAD/CAM operators and programmers often do not understand the impact of such parameter settings and thus determine parameter values arbitrarily. This study aims to optimize machining parameter settings by providing parameter values proven to have energy-friendly performance. The method used in this research is regression-based response surface methodology. Based on numerical simulations and experiments conducted, variations in feed rate and depth of cut were shown to impact energy consumption significantly. Experiments and tests reduced the energy consumption value below 5A for 78% of the total process.
Pembelajaran Ensemble untuk Klasifikasi Ulasan Pelanggan E-commerce Menggunakan Teknik Boosting Rama Hadi Suryanto, Matius; Wahyu Utomo, Danang
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2314

Abstract

Technological developments have developed rapidly and impact changing behavior in daily activities. Now, selling and buying activities are carried out in e-commerce services. The increase in e-commerce users is the main factor in improving the quality of e-commerce services. One of the factors to improve the quality of e-commerce services is customer reviews. Customer reviews are useful for shop owners to find out whether the product offered has positive or negative reviews. The large number of customer reviews is the main factor in the difficulty of shop owners in classifying customer reviews. This study proposes classifying customer reviews using ensemble learning with boosting techniques such as XGBoost, AdaBoost, Gradient Boosting, and LightGBM. The use of an ensemble with a boosting technique aims to improve the algorithm’s performance. In a test scenario apply majority voting to produce the best performance from each algorithm. The result shows that the XGBoost algorithm produces higher accuracy than other techniques are 92.30%. On the analysis of matric evaluation of precision, recall, and F1-Score, XGBoost produces higher true positive values than other techniques such as AdaBoost, Gradient Boosting, and Light GBM
Rekomendasi Produk E-commerce Berbasis Klasifikasi Ulasan Menggunakan Ensemble Random Forest dan Teknik Boosting Saputro, Donny; Danang Wahyu Utomo
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2315

Abstract

The increasing popularity of e-commerce poses a new challenge to provide customers with a more personalized and effective shopping experience. In situations like this, product recommendations are very important to increase consumer satisfaction and increase sales. Using Random Forest and Boosting ensemble techniques, this research introduces a method for e-commerce product recommendation based on user review analysis. The Aim is to test the Random Forest algorithm with several boosting techniques for ensemble learning. The results show that the Random Forest method combined with the Xgboost technique can provide product recommendations that are 87.25% more accurate and relevant than other boosting techniques. In precision analysis, Random Forest-XGBoost achieved a higher accuracy of 90% compared to other boosting techniques. Additionally, the combined use of Boosting and Random Forest techniques improves the model's performance in handling complexity and variation in e-commerce product reviews.
Implementasi Algoritma Random Walk untuk Procedural Generation dalam Genre Game Dungeon Crawler 2D Arifudin, Dani; Ringi Rizky, Dhipa; Dwi Riyanto, Andi; Suliswaningsih
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2317

Abstract

The use of algorithms to produce content through procedural generation is an attractive alternative in game development. However, it should be noted that there are various types of algorithms with varying results, as well as their suitability for 2D/3D game types. Random walk is a simple algorithm that is often used in procedural generation. This algorithm works on discrete or continuous space, from an initial position and moves by taking a random direction at each step. The Dungeon Crawler game genre is a type of game that can utilize procedural generation. A game genre that developed from the RPG genre, focusing on the exploration of mazes or dungeons that are often randomized and full of various obstacles. This genre offers several interesting features, such as collecting exploration rewards, solving puzzles, and finding a way out. This research uses GDLC as a system development method based on Windows PC devices. The test results using the Black Box method can be said to be successful because the game succeeded in creating levels automatically by implementing the Random walk algorithm.
Produksi Biofuel Berbahan Baku Mangrove Untuk Substitusi Bahan Bakar Gasoline Syarifudin, Syarifudin; Yohana, Eflita; , Muchammad; , Suhartana; Kusnadi; Fatkhurrozak, Faqih; Lukman Sanjaya, Firman
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2318

Abstract

Dependence on fossil fuels requires a solution through alternative fuels. Ethanol is the recommended solution because it is easy to produce using raw materials that are abundant in nature, such as mangrove fruit. The Rhizophora Mucronata type of mangrove fruit contains 45.22% carbohydrates and is not used as raw material for human food. The research aims to produce ethanol biofuel from mangrove raw materials using multistage distillation. Experimental methods were applied at the stages of mangrove flour production, mangrove flour property testing, saccharification and fermentation, mangrove ethanol distillation, and analysis of potential performance and exhaust emissions. The research produced mangrove biofuel with an alcohol content of 28% which was produced from mangrove flour and had an ash content of 1.91%, protein, 2.24%, fat 0.53%, and water 11.61%. In addition, mangrove biofuel has higher viscosity and density properties than Gasoline at 0.8067Cp and 0.8115 g per mL respectively. The use of mangrove biofuel as a result of experiments is predicted to reduce fuel injection performance.

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