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. aceh selatan,
Aceh
INDONESIA
Jurnal Inotera
Published by Politeknik Aceh Selatan
ISSN : 25487574     EISSN : 25811274     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Arjuna Subject : -
Articles 279 Documents
 24   25   26   27   28 
A YOLO-Based Machine Learning Framework for Detection of Soft Pneumatic Actuator Bending Angles Syahirul Alim Ritonga; Raditya Fadhil Arva; Sarah Iftin Atsani; Mohammad Ardyansah; Herianto
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID448

Abstract

The bending angle of soft pneumatic actuator (SPA) is a critical parameter influencing their reliability and effectiveness across various applications. Conventional measurement methods are often labour-intensive and impractical for experiments requiring multiple trials, creating a need for efficient, non-invasive techniques. This study proposes a machine learning framework leveraging YOLO (You Only Look Once) models to detect SPA bending angles from image data, eliminating the need for additional hardware. A comprehensive dataset of SPAs under varying actuation pressures, with meticulously labelled bending angles, was curated to train a YOLO-based regression model. The results highlight the model's strong performance, achieving a recall of 99.1%, precision of 70%, and mean average precision (mAP) scores of 86.42% (IoU 0.5) and 84.35% (IoU 0.5–0.95). Low training and validation losses indicate high accuracy in bounding box predictions, object-background differentiation, and object classification. Optimized learning rates ensured efficient parameter updates, achieving convergence without overfitting. The proposed framework demonstrates a robust balance between accuracy, robustness, and efficiency, making it a practical solution for reliable SPA bending angle detection in real-world applications. This study underscores the potential of machine learning-driven techniques to streamline SPA characterization, offering a scalable and non-invasive alternative to traditional methods.
Study of Thermal Behavior of Phase Change Material Based Fatty Acid Encapsulated PLA for Gypsum Board Application Aidy, Nurhanifa; Teuku Rihayat; Lindawati; Iqbal; Mahyuddin
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID450

Abstract

Phase Change Material is one form of renewable energy utilization that can be applied to the walls of a house to support the work of the AC to be more efficient. This material works by absorbing solar heat energy, storing it, then releasing it out so that the wall does not conduct heat into the room which will affect the workload of the AC. Lauric and stearic fatty acids are one of the superior PCM forming materials. In this study, PCM was made using a mixture of eutectic fatty acids modified with lactic acid. The method used is the direct mix method (direct mixing). PCM fatty acid materials (Laurate-Stearate) are combined into a binary mixture of eutectic fatty acids at a composition of 86%: 14% w/w. Furthermore, modifications are carried out with poly lactic acid (P) in three composition variations (L-S):P, namely (0.5: 1), (0.7: 1.0), (0.9: 1.0). Samples will be prepared in a laboratory scale model and their energy analysis will be carried out. Based on DSC testing, it was concluded that the highest latent heat was achieved by sample LSPb with a value of 101.53 J/g. The second place was taken by sample LSPc, followed by LSPa and the lowest latent heat was sample GLSP0. In line with this, the lowest melting point as an indication that PCM can withstand hot air temperatures is also found in sample LSPb . Among the four test samples, TGA data showed that sample LSPb was the sample that had the best thermal stability among the other samples with the furthest onset and endset values and the smallest % weight loss with values of 154.60 oC, 191.11 oC and 3.87% weight loss, respectively. The use of 0.7 times the amount of poly lactic acid to the eutectic mixture can absorb heat best. However, the excessive amount of poly lactic acid added actually causes a decrease in the absorption capacity and the ability to maintain heat in the PCM sample. The eutectic mixture of lauric and stearic fatty acids and the addition of poly lactic acid in the gypsum matrix successfully formed PCM which can be a candidate for room temperature control material in energy-efficient building wall applications.
Analysis of Heart Disease Using the Random Forest Method Jupron; Sutrisno
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID452

Abstract

Since heart disease is one of the leading causes of death worldwide, lowering the death rate requires early detection and precise analysis. Machine learning (ML) is one method of analysis. This study uses the Random Forest process, which is applied through the Weka program, to analyze heart disease. An ensemble learning process called Random Forest can categorize data on datasets with a lot of variables with a high degree of accuracy. The heart disease dataset used in this study includes patient medical information, including age, gender, blood pressure, cholesterol, and the results of various tests. To determine the variables that significantly impact the risk of heart disease and to determine the degree of model accuracy in making predictions, the data was processed using Weka and tested using the Random Forest algorithm. The study's findings demonstrate that the Random Forest process performs well in assessing heart illness with a high degree of accuracy and can provide information about the variables that affect the evaluation of heart disease. As a result, this approach may be a useful one for assisting with early heart disease identification and treatment decisions.
Perancangan Sistem Pembayaran Sekolah Menggunakan Metode Rapid Application Development (RAD) (Studi Kasus: SMK YAPPIKA Legok) Paryanto, Agus; Galuh Saputri
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID453

Abstract

YAPPIKA Legok Vocational High School is a school that plays a role in the development of science, especially in the fields of Technology and Information. The school payment system still uses manual methods, payments are still made by searching or recording in recapitulation books which takes quite a long time. This research aims to create a school payment system that illustrates the ease of the payment process so that it is more accurate, reliable, representative, and efficient, which can be used to prepare school financial reports. This research can be carried out using the Rapid Application Development (RAD) method to provide faster application development and produce high-quality results than manual methods so that it can be designed and developed quickly, starting from Requirements Planning, Design Processing, and Implementation. The results obtained from this research are developments in time efficiency and performance for Administration in carrying out their work. This can be seen from the time used in processing a payment where the usual time for making a payment is 10-15 minutes which can now be done in a shorter time, namely 3-5 minutes, then payment recapitulation has also decreased in calculation time from 20 -30 minutes to about 5-10 minutes.
Implementation of Yolo (You Only Look Once) Algorithm for Drowsiness Detection as an Additional Safety Feature in the Operation of Crane Equipment in Real Time Riza Adrian Maulana; Hardiansyah
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID458

Abstract

Work accidents, especially in the construction sector, are still a serious problem, with fatigue as one of the main causes. Based on data from satudata.kemnaker, the author realizes the need for early prevention solutions to reduce the risk of accidents due to fatigue. One of the approaches proposed is the development of an automatic detection system to recognize workers' facial expressions, especially in detecting levels of freshness and sleepiness. The obstacles that are often faced are limited time and scale in manual monitoring, especially on large-scale construction projects. To overcome this, the You Only Look Once (YOLO) algorithm is used, which is able to detect objects quickly and accurately, to provide continuous monitoring of workers' conditions. This research focuses on the application of the YOLOv8n model in an automatic freshness and sleepiness facial expression detection system. The model is trained using a dataset that includes a variety of facial expressions in different situations, allowing the system to detect worker conditions in real-time and at scale. The evaluation results in this research show very good performance, with precision reaching 99.9%, recall 100%, mAP50 99.5%, and mAP50-90 97.9%. Although the model sometimes makes mistakes in object class recognition, the overall results still show a very high level of accuracy. With this system, it is hoped that it can improve work safety through early detection of signs of fatigue in workers, so that the potential for work accidents can be significantly minimized.
Analysis Based on Arduino Uno Producing a Baracuda Smoking Tool With a Smoke Concentration and Temperature Monitoring System Oktalia Triananda Lovita; Khairuman; Zharifah Muthiah; Rossiana Ginting
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID459

Abstract

A smoked barracuda fish product smoking device with closed circulation using a temperature monitoring system and smoke concentration based on Arduino Uno has been created. The design of the cold smoking device is divided into three parts, namely the combustion area, the smoke pipe, and the smoking chamber. Smoke drift of (25.53%-32.45)%. The average length of the fish was 16.7 cm and the average weight of the barracuda fish was 192.3 grams. 10 barracuda fish were put into the smoking room. The lowest water content value for smoked barracuda fish, namely 25.53%, occurred at a smoking time of 6 hours and the highest water content for smoked barracuda fish, namely 32.45%, occurred at a smoking time of 3 hours. The efficiency of the time needed to smoke mackerel on the water content was 6 hours compared to a smoking time of 3 hours. This means that the longer the smoking, the lower the water content value in smoked mackerel.
Application to Determine Toddler Nutritional Status Using a Web-Based Fuzzy Mamdani Method Khoirunnisya; Nurhasanah; Kevin Novebrianto
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID439

Abstract

The nutritional status of toddlers is vital for assessing their health and growth, but it involves many interrelated variables, making it complex to determine. The Fuzzy Mamdani method, developed by Prof. H.J. Zimmermann in the 1970s, uses fuzzy logic to handle concepts like "a little," "enough," or "a lot," which are more intuitive than binary values. This method can be effectively implemented in a web-based application to accurately determine toddlers' nutritional status. Such an application supports medical personnel by providing efficient and accurate assessments, facilitating appropriate care and interventions.
Feasibility Analysis of Industrial-Scale Pyrolysis of 200 kg Polyethylene and Polystyrene Plastic Waste Dewi, Indah Noor Dwi Kusuma; Muhammad, Alief; Achmadin, Wahyu Nur; Andrie; Helsinky, Mava Nurhaliza; Aprillia, Wulan
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID461

Abstract

This study analyzes the feasibility of industrial-scale pyrolysis of polyethylene (PE) and polystyrene (PS) plastic waste with a feedstock capacity of 200 kg per day. PE and PS plastics are pyrolyzed at temperatures of 400°C, 450°C, and 500°C until the feedstock is fully decomposed, indicated by the cessation of smoke emission from the reactor. The optimal conditions obtained are then used as a reference for energy calculations in a 200 kg industrial-scale process. The pyrolysis duration varies depending on the type of plastic and operating temperature, with the longest time recorded for PE pyrolysis at 450°C for 98 minutes, while the shortest time was observed for PS pyrolysis at 400°C for 31 minutes. The resulting heating rate indicates that higher temperatures lead to lower heating rates for both PE and PS plastics. The results indicate that increasing the temperature enhances the oil yield (v/wo) up to a certain limit before it begins to decline. The pyrolysis oil yield from PS plastic is higher than that from PE, as styrene monomers naturally exist in a liquid phase. The oil yield from PS remains relatively constant despite temperature increases, whereas the yield from PE follows an increasing trend before declining at the highest temperature. The decrease in PS pyrolysis oil density at higher temperatures also suggests differences in physical characteristics compared to PE. The energy consumption analysis indicates that PS plastic pyrolysis requires more energy than PE, with an average energy consumption of 75.14–77.57 kJ/g for PS and 18.7–33.94 kJ/g for PE. However, the oil yield from PS reaches approximately 79–80% of its initial weight, which is higher than that of PE pyrolysis oil. From an economic perspective, converting PE and PS plastic waste into fuel is not entirely feasible, as the energy produced is insufficient to sustain the pyrolysis process itself. The revenue from selling PE pyrolysis oil amounts to Rp 14,729,000 per month, while PS pyrolysis oil generates Rp 30,927,000 per month. Nevertheless, the social benefits of reducing plastic waste provide an added value that cannot be overlooked.
Implementation of the Forward Chaining Method in Identifying Study Programs Based on Students Interests and Talents Raudhatul Fazira; Bustami; Rizki Suwanda
Jurnal Inotera Vol. 10 No. 2 (2025): July - December 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss2.2025.ID481

Abstract

This study aims to develop a decision support system (DSS) based on the Forward Chaining method to assist prospective students in selecting a study program that aligns with their interests, talents, and abilities. The system is designed to analyze 34 facts related to the respondents' interests and talents using predefined Rules, generating program recommendations in the form of rankings based on suitability weights. Testing was conducted with 100 respondents, one of whom, named Najmil Ula, was recommended to choose the Chemical Engineering program with a suitability weight of 2,3 or 26.44%, based on fulfilled facts such as an interest in understand in physics and love doing an experiment. Additionally, the system provided alternative recommendations, such as Informatics Engineering and Arcitecture, with lower suitability levels. These results demonstrate that the system can provide relevant and objective recommendation, making it an effective tool to support prospective students in selecting study programs that match their potential.
Aplikasi Pemrograman Linear Integer Pada Optimasi Keuntungan Produksi Olahan Beras Ketan di Industri Rumah Tangga Desa Long Pejeng Rosi; Syaripuddin; Desi Febriani Putri
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID484

Abstract

Glutinous rice is a variety of rice that plays an important role in local culture, especially in the tradition of opening fields. When the harvest season arrives, local communities usually hold thanksgiving in the form of uman (eating) ubek parties at the beginning of the harvest and post-harvest parties as an expression of gratitude for the harvest. In the tradition of the Dayak community, especially Dayak Kenyah, glutinous rice is used as the main ingredient for making various specialties such as lemang, ubek (kenta), and undat ao. So glutinous rice is used as the main commodity for the household industry in Long Pejeng Village. Various types of processed products produced by this industry, including lemang, fried sticky rice, klepon and bubur candil, use glutinous rice as the main raw material. This study aims to optimize the profit of glutinous rice production by applying integer linear programming. The method used in this research is the simplex method to find the optimal solution, as well as the Gomory Cutting Plane method to obtain a feasible integer solution for each type of product. The results showed that the optimal production quantity was 281 packs per one-time production, consisting of 112 packs of lemang, 56 packs of fried sticky rice, 45 packs of klepon, and 68 packs of candil porridge, with a maximum profit of Rp887,368.00. Optimization using this method is proven to significantly increase profits by 14.4% compared to the previous production method and increase efficiency in the use of raw materials and production capacity

Page 26 of 28 | Total Record : 279

 24   25   26   27   28 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2025): July - December 2025 Vol. 10 No. 1 (2025): January-June 2025 Vol. 9 No. 2 (2024): July - December 2024 Vol. 9 No. 1 (2024): January-June 2024 Vol. 8 No. 2 (2023): July - December 2023 Vol. 8 No. 1 (2023): January-June 2023 Vol. 7 No. 2 (2022): July-December 2022 Vol. 7 No. 1 (2022): January-June 2022 Vol. 6 No. 2 (2021): July-December 2021 Vol. 6 No. 1 (2021): January-June 2021 Vol. 5 No. 2 (2020): July - December 2020 Vol. 5 No. 1 (2020): January-June 2020 Vol. 4 No. 2 (2019): July-December 2019 Vol. 4 No. 1 (2019): January-June 2019 Vol. 3 No. 2 (2018): July-December 2018 Vol. 3 No. 1 (2018): January-June 2018 Vol. 2 No. 2 (2017): July-December 2017 Vol. 2 No. 1 (2017): January-June 2017 Vol. 1 No. 1 (2016): July-December 2016 More Issue