Journal of Applied Science, Technology & Humanities
Journal of Applied Science, Technology & Humanities is published by Batrisya Education. Published five times a year, in January, March, June, September, November and already have a registration number ISSN 3032-5765, DOI: https://doi.org/10.62535/jasth. Journal of Applied Science, Technology & Humanities is an academic, open access, and peer-reviewed journal that focuses on critical studies of Science, Technology & Humanities. It covers areas like science, technology, education, psychology, health & nutrition, agriculture, ecology & environment, history, sociology, philosophy, economics, political and quantitative studies. Science, Technology and Humanities promotes interdisciplinary perspectives drawing upon a number of "hard core" science disciplines. Journal of Applied Science, Technology & Humanities is an national journal devoted to the study of science and technology in humanities context. It focuses on the way in which advances in science and technology influence society. It is a peer-reviewed journal that takes an interdisciplinary perspective, encouraging analyses whose approaches are drawn from a variety of disciplines such as science, technology, education, psychology, health & nutrition, agriculture, ecology & environment, history, sociology, philosophy, economics, political and quantitative studies. The journal consciously endeavors to combine scholarly perspectives relevant to academic research and policy issues relating to development. Besides research articles the journal encourages research-based country reports, commentaries and book reviews.
Articles
122 Documents
<![CDATA[Fuzzyfication Optimization of Crude Cassava Starch Processing into Tapioca Flour with the Mamdani Approach ]]>
<![CDATA[Bintang Aprilio]]>;
<![CDATA[Fionando Emir Satriadana]]>;
<![CDATA[Muhamad Raihan Afarel Nadji Baraba]]>;
<![CDATA[Nourma Ayuadika]]>;
<![CDATA[Refiansyah Nur]]>;
<![CDATA[Sesar Husen Santosa]]>;
<![CDATA[Muhammad Danang Mukti Darmawan]]>;
<![CDATA[Nanda Octavia]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/d1kss748
<![CDATA[The purpose of this research is to improve the effectiveness of tapioca flour production by using a fuzzy logic system. The system accepts three variables, namely raw materials, color, and aroma, and produces an output in the form of a percentage of the quality of tapioca flour produced. Fuzzy rules are created based on expert knowledge and experimental data after the input data is converted into fuzzy values. MATLAB software is used to implement the fuzzy system. Furthermore, the simulation results were analyzed to find the best conditions for producing tapioca flour with high quality. The results show that the fuzzy system successfully produces an output that reflects the quality percentage of tapioca flour. However, to gain a more complete understanding, it is necessary to further analyze the components that affect production quality, and there may be better ways to customize the fuzzy rules.]]>
<![CDATA[Implementation of Fuzzy Logic Mamdani in Determining Employee Job Appraisal of PT Exclusive Panca Anugerah Using Matlab ]]>
<![CDATA[Lutfi Aziz Febrika Ardy]]>;
<![CDATA[Aqim Try Kurnia]]>;
<![CDATA[Keinanjung Ruswandi]]>;
<![CDATA[Muhammad Al-Ghifari]]>;
<![CDATA[Muhamad Zikri Abdillah]]>;
<![CDATA[Vina Puspitasari]]>;
<![CDATA[Muhammad Danang Mukti Darmawan]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Sesar Husen Santosa]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/bqt5bb31
<![CDATA[Human resources are one of the important components of a company. With good employee performance, it can be interpreted that the system in the company is also running well. This method utilizes attendance and performance variables to assess the employee. This journal aims to see and monitor how an employee's performance in a company is working optimally or not. It uses the implementation of fuzzy logic Mamdani as a proof model, coupled with the Matlab application toolbox that allows evaluation and assessment of performance according to the existing scenario. The results of this experiment show the effectiveness of providing accurate scores and can also help management to make more informed decisions]]>
<![CDATA[Implementation of Fuzzy Logic to Control Soil Moisture Level in Arduino-Based Rice Fields ]]>
<![CDATA[Keinanjung Ruswandi]]>;
<![CDATA[Lutfi Aziz Febrika Ardy]]>;
<![CDATA[Muhammad Rafid Habibi Tambunan]]>;
<![CDATA[Mohammad Iqsan Syachranie]]>;
<![CDATA[Stephen Nathaniel]]>;
<![CDATA[Wafi Hawali]]>;
<![CDATA[Inna Novianty]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ivan De NeroI]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/rrye0q63
<![CDATA[In Indonesia, where the agricultural sector is pivotal in the economy and most of the population are farmers, effective soil moisture control is crucial for optimizing crop production. This study investigates the application of modern technology, particularly Arduino microcontrollers utilizing Fuzzy Logic, to enhance irrigation management in rice fields. Given the challenges of irregular water supply due to geographical and temporal variations, additional infrastructure such as waterways, dams, and pumps are indispensable for regulating water distribution. By integrating Arduino microcontroller technology with Fuzzy Logic, precise and adaptive soil moisture management can be achieved, ensuring optimal water usage and improving crop yields. This research contributes to advancing sustainable agriculture in Indonesia, addressing the pressing need for food security amidst a growing population.]]>
<![CDATA[Optimization of Cassava Production Management using Fuzzy Logic to Enhance Efficiency and Production Yield ]]>
<![CDATA[Iklima Istiqomah]]>;
<![CDATA[Hafiz Agi Alfasih]]>;
<![CDATA[Herti Herti]]>;
<![CDATA[Revanda Arifia]]>;
<![CDATA[Fauzan Naufal Gibran]]>;
<![CDATA[Angga Eben Ezer]]>;
<![CDATA[Sesar Husen Santosa]]>;
<![CDATA[Muhammad Danang Mukti Darmawan]]>;
<![CDATA[Nanda Octavia]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/3pxptb43
<![CDATA[This research aims to optimize cassava production using fuzzy logic to enhance efficiency and productivity. Cassava is an important agricultural crop in Indonesia with great potential due to its ability to thrive in various types of soil and climates. Despite being considered a secondary food, cassava has numerous health benefits and serves as a good source of energy. However, crop failures and low yields hinder cassava production. Farmers can achieve optimal yields by maximizing output with minimal input costs. In addition to meeting market demand, pricing strategies are also crucial in determining the best products. Therefore, manufacturing companies need to plan the quantity of products to meet the expected demand. Factors such as product supply and demand need to be considered. It is challenging to monitor production elements when manual calculations are used. Hence, a method to accurately predict product availability is needed. The method used is fuzzy logic computation. We employ the Mamdani fuzzy logic method in this study. The outcome of this research is the ability to enhance cassava production yields based on Mamdani fuzzy logic calculations. The computations conducted enable farmers to determine production levels based on consumer demand.]]>
<![CDATA[Potential Analysis of the Application of Fuzzy Logic in the Optimization of Pak Choi Hydroponic Cultivation: A Literature Study on Plant Growth Support System ]]>
<![CDATA[Putri Jasmin]]>;
<![CDATA[Anton Wira Pratama]]>;
<![CDATA[Mahatmadi Ariq Mayangkara]]>;
<![CDATA[Muhamad Reza Zulva Pohan]]>;
<![CDATA[Allegra Alif Rahman]]>;
<![CDATA[Inna Novianty]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ivan De Nerol]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/qarba550
<![CDATA[The rapid urbanization and increasing population density in Indonesia have led to a reduction in available land for traditional agriculture, particularly in urban centers. In response to this challenge, urban farming, including hydroponic cultivation, has emerged as a viable solution to meet the food needs of urban communities. This study explores the potential application of fuzzy logic in optimizing hydroponic cultivation practices, focusing on the growth of pak choi plants. Pak choi, a popular vegetable in Indonesia, offers numerous health benefits and is well-suited for hydroponic cultivation. By analyzing relevant literature, this research investigates the influence of water pH and temperature on pak choi plant growth and develops a fuzzy expert system based on Mamdani's method. The study prepares data on optimal temperature and pH ranges for pak choi cultivation and establishes fuzzy sets for water temperature, water pH level, and plant height. The findings provide insights into the effects of water pH and temperature on pak choi plant growth and demonstrate the potential of fuzzy logic in optimizing hydroponic cultivation practices. This research contributes to the advancement of agricultural technology and offers practical solutions for sustainable urban farming.]]>
<![CDATA[Implementing Fuzzy Logic to Forecast Electricity Usage Costs ]]>
<![CDATA[Ade Riyanti]]>;
<![CDATA[Arda Dwiyana]]>;
<![CDATA[Danar Restu Firdaus]]>;
<![CDATA[Danke Hidayat]]>;
<![CDATA[Fajri Haykal Rahman]]>;
<![CDATA[Muhammad Rafi Ari Ghani]]>;
<![CDATA[Agung Prayudha Hidayat]]>;
<![CDATA[Dwi Yulinar Chairunisa]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/r6ygb628
<![CDATA[Electricity has a very vital role in human life, being a form of energy that is inseparable from various aspects of daily activities. The greater the use of electricity will have an impact on increasing the cost of electricity use. By applying fuzzy logic methods, research focuses on understanding the efficiency of electrical power use, identifying key factors that affect efficiency at the household level. This study aims to apply the Mamdani method in fuzzy logic to predict the cost of electricity consumption and measure the level of accuracy of the implementation of fuzzy logic. The variables used as the basis of the study involved house size, electronic equipment, electrical power, economic income, and electricity usage cost. The implementation of this research will use Matlab software because it provides various tools for the Mamdani method. The results of the implementation of fuzzy logic with the Mamdani method for the example case analyzed in obtaining electricity usage cost that needs to be paid is Rp. 455,500. Thus, these results indicate that the Mamdani method in fuzzy logic is effectively used to predict electricity usage cost in Leuwimekar Village, Bogor City. ]]>
<![CDATA[Identification of Defects in Electronic Component Products: Case Study at PT Omron Manufacturing of Indonesia ]]>
<![CDATA[Rizqi Mabul Sururi Rizqi Mabul Sururi]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/cx000d94
<![CDATA[The identification of product defects at PT Omron Manufacturing of Indonesia is motivated by the large number of defect discoveries in the January-October 2023 period, these defects cause considerable losses, namely the number of product parts disposed of in the amount of 3591. Based on these problems, the purpose of this research is to identify the causes of defects and formulate alternative solutions for continuous improvement. Identification of defects using the Pareto diagram method, fishbone analysis, and failure mode and effect analysis (FMEA), after getting the cause with the highest risk of priority number (RPN) value, the next step is to find alternative solutions using the 5W + 1H kaizen approach. The output generated from this research is daily checklist maintenance for operators and weekly checklist maintenance for the productive maintenance department.]]>
<![CDATA[A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods ]]>
<![CDATA[Dea Ummul Khabibah]]>;
<![CDATA[Kenzi Dewandaru]]>;
<![CDATA[Muhammad Tsabit]]>;
<![CDATA[Silva Dimas Surya Permana]]>;
<![CDATA[Yana Nurrohman]]>;
<![CDATA[Agung Prayudha Hidayat]]>;
<![CDATA[Dwi Yulinar Chairunisa]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/vm2cxa03
<![CDATA[Fires are serious disasters that require effective monitoring or control systems to identify risks and respond quickly. In this study, observations were made on the A Practical Implementation Fire Monitoring Systems Using Fuzzy Methods using temperature input from DHT22 sensors, smoke from MQ-2 sensors, and fire history as evaluation variables. The system will classify the temperature as "low", "medium", or "high", smoke as "low", "medium", "concentrated", as well as the history of fires categorized as "low", "medium", "high". The input will be processed using fuzzy logic to generate recommended actions, the actions are classified into "evacuate", "stay away from the area", or "wait for instructions". The implementation of the monitoring system uses the Arduino UNO platform as its base, then the DHT22 temperature sensor, and the MQ-2 smoke sensor to detect fire conditions. Then the test results from the monitoring system will provide recommendations related to more accurate and responsive actions based on actual conditions at the fire site.]]>
<![CDATA[Enchasing Production Planning and Inventory Management : A Quantitative Approachto Forecasting for Bottled Mineral Water Products at PT Arima ]]>
<![CDATA[Sesar Husen Santosa]]>;
<![CDATA[Agung Prayudha Hidayat]]>;
<![CDATA[Annisa Rizkiriani]]>;
<![CDATA[Khoirul Aziz Husyairi]]>;
<![CDATA[Bayu Suriaatmaja Suwanda]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/2ey5ss36
<![CDATA[PT Arima is a company engaged in the production of bottled mineral water. The demand for bottled mineral water is experiencing fluctuations, with demand increasing at the end, so companies must carry out optimal production planning to avoid stock buildup. Production planning at PT Arima is carried out by identifying demand levels using quantitative forecasting methods, namely moving average (n = 3) and exponential smoothing (α = 0.05) to maintain optimal production levels and stock in the warehouse does not accumulate. The results of processing the level of forecasting accuracy using 12 months of demand data obtained using the moving average method showed that the production level = 39,733 boxes in January 2024. MAD = 3733.22; MSE = 21566024.78 and MAPE = 0.10. Based on the exponential smoothing method, the production level = 38,081 boxes in January 2024. MAD = 5773.50; MSE = 43466303 and MAPE = 0.15. Based on the results of comparing the MAPE values of the two forecasting methods, the lowest MAPE value was obtained, namely the average method (n=3) of 0.10 with the production level of bottled mineral water to maintain optimal supply conditions in January 2024 of 39,733 boxes.]]>
<![CDATA[Application of Fuzzy Logic to Motorcycle Oil Change Cycle with 10W 30 Oil Viscosity ]]>
<![CDATA[Zata Ismah Sumayyah]]>;
<![CDATA[Brian Mariano Rahmanto]]>;
<![CDATA[Muhammad Caesar Hidayat]]>;
<![CDATA[Nur Ilham Febriansyah]]>;
<![CDATA[Veto Adi Pertama]]>;
<![CDATA[Dwi Yulinar Chairunisa]]>;
<![CDATA[Agung Prayudha Hidayat]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/ypjkqg79
<![CDATA[Oil is a fluid that serves to lubricate the engine, so that friction between engine components is relatively small. Oil changes are based on mileage, oil volume, and oil viscosity levels which usually vary depending on the needs of the vehicle's engine. Most riders are often late and do not even know the routine time of oil changes so that the user's motorcycle engine feels damaged. The application of fuzzy logic has become an important approach in modeling the complex and ambiguous system of motorcycle oil change periods with 10W 30 oil viscosity. The purpose of this study is to determine the application of fuzzy logic in determining the optimal oil. exchange interval. Oil is based on factors such as mileage, oil volume, and oil viscosity when viewed from motorcycle use. To represent these variables using fuzzy sets, a fuzzy logic control system was developed that takes into account oil wear and motorcycle operating conditions which was implemented using the mamdani method and calculated using matlab software. The results showed that oil change intervals tailored to operating conditions and the environment can improve engine performance, reduce maintenance costs and extend component life.]]>
