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[Implementation of Fuzzy Logic on the Feasibility of Duck Egg Quality ]]>
<![CDATA[Dhiya Rizqi Bagus Wibowo]]>;
<![CDATA[Edmund Banyu Kauripan]]>;
<![CDATA[Khairunnissa Zahran Ansyafa]]>;
<![CDATA[Nabil Arif A'isy]]>;
<![CDATA[Muhamad Fadhil]]>;
<![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/epg4wm67
<![CDATA[Eggs are a staple food, with chicken eggs being the most common choice. However, duck eggs are gaining popularity due to their nutritional value. Ducks, a local poultry breed, are seeing increased interest, leading to a growth in the national duck population. Duck eggs themselves are one source of animal protein that is rich in nutrients and easily digested. Duck eggs have a very high protein content, which is 13.1 grams per 100 grams. The purpose of building a decision support system for duck egg selection is to help people choose quality duck eggs for consumption. Data collection techniques in this study use literature studies and include direct calculations and using MATLAB software to develop a Fuzzy logic system in determining the feasibility of duck egg quality. The results showed that in the example case for a duck egg that weighs 5.5 grams and then the thickness of the shell is 7.5 mm and the viscosity of the egg contents is given a number of 7, then the egg is still said to be suitable for consumption. This contributes to improving food quality in Indonesia by classifying the feasibility of eggs for public consumption.]]>
<![CDATA[Identification of Risk Mitigation Due to Noise in The G2R Production Area at PT OMI ]]>
<![CDATA[Najwa Adis Prambanan]]>;
<![CDATA[Agung Prayudha Hidayat]]>
<![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/c6w9yr74
<![CDATA[Production activities are the core of a manufacturing company. To produce goods, production activities are necessary. Concentration or focus is one of the factors determining the success of the production process. Through interviews with one of the G2R relay production supervisors, it was found that there is an issue related to the decreased concentration of operators working in the G2R relay production area. This indirectly affects the operators' work performance, which in turn impacts the quality of the products produced. The root cause of the decreased concentration was found to be the production machines generating very loud noise. The objective of this final project is to minimize the risks caused by this noise. Therefore, the House of Risk (HOR) method will be used as the solution method. The House of Risk (HOR) can identify risk events, risk agents, and propose mitigation strategies. The HOR calculation for this project suggests a mitigation strategy of applying proper or thicker machine covers to reduce noise from the production machines.]]>
<![CDATA[Implementation of Fuzzy Logic to Regulate Water Quality in Maintaining the Aquascape Ecosystem ]]>
<![CDATA[Muhammad Fajarudin]]>;
<![CDATA[Handika Saputra Harahap]]>;
<![CDATA[Irmansyah]]>;
<![CDATA[Muhamad Al Habsy]]>;
<![CDATA[Fardiana Yunita]]>;
<![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/dvbdxn84
<![CDATA[Aquascape is an artificial aquarium ecosystem that is increasingly popular, considering the high cost of creating and maintaining an aquascape. Several aspects need to be considered in maintaining an aquascape, namely maintaining water quality. To know the water quality, it is necessary to periodically check the aquascape manually and carry out maintenance, therefore knowledge is needed to regulate and maintain the water quality in the aquascape. This research aims to implement fuzzy logic as a water quality control system in aquascape maintenance. The research method includes collecting data from the literature as well as developing a fuzzy logic model to identify and control water quality such as pH and temperature. The output of the system developed is a water quality control device with the categories "Unbalanced", "Quite Balanced", "Balanced". This research method includes calculations by collecting data and using MATLAB software to develop a fuzzy logic system. The research results show that the application of fuzzy logic is able to regulate water quality effectively and minimize the risk of ecosystem damage in the aquascape. The research conclusion shows that the application of fuzzy logic to regulate water quality in aquascapes has great potential in maintaining the sustainability of aquascape ecosystems.]]>
<![CDATA[Implementation of Fuzzy Logic in Environmental Control and Disease Diagnosis of Sumatran Fish Puntius tetrazona ]]>
<![CDATA[Rizqullah Zaky Yudawirja]]>;
<![CDATA[Joandah Rayla Nabila Annuru]]>;
<![CDATA[Rakha Akbar Riyanto]]>;
<![CDATA[Revanda Maulana Zahradiaz]]>;
<![CDATA[Justin Khaliq Satriadana]]>;
<![CDATA[Apan Sopian]]>;
<![CDATA[Nurul Lisnawati]]>;
<![CDATA[Dzahabiyyah Febrika Zain]]>;
<![CDATA[Hasna Nursabirah]]>;
<![CDATA[Mutiara Citra Dewi]]>;
<![CDATA[Indah Permata Sari Maha]]>;
<![CDATA[Syaqra Nindya Nurafni]]>;
<![CDATA[Varel Raihan Rivasa]]>;
<![CDATA[Hilal Surya Hilmansyah]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/3a34f920
<![CDATA[Water quality management in rearing media is an important factor to maintain fish health and survival. Optimal water quality can help fish growth and prevent disease. This research aims to develop and implement a Fuzzy Logic-based system to automate water quality management in Sumatran Puntius tetrazona fish aquariums and perform early diagnosis of several diseases that commonly attack Sumatran Puntius tetrazona fish. The use of fuzzy logic using MATLAB is very helpful in monitoring media water quality and fish diseases. This research develops a fuzzy logic-based system to control water quality and diagnose diseases of Sumatran Puntius tetrazona fish. This system uses components such as Arduino IDE, ESP32, dissolved oxygen sensor, temperature sensor, amonia sensor, and pH sensor to collect and process data related to water quality and fish disease diagnosis.]]>
<![CDATA[Application of Mamdani Fuzzy Logic System on Catfish Sorting System (Clarias sp.) ]]>
<![CDATA[Fitriana Lestari]]>;
<![CDATA[Hafis Suwandi]]>;
<![CDATA[Muhammad Widagdo Sidharto]]>;
<![CDATA[Ratu Nabilla Rahmawati]]>;
<![CDATA[Muhammad Abdul Sidiq]]>;
<![CDATA[Amanda Suci Ramadhani]]>;
<![CDATA[Handika Dwi Al Falah]]>;
<![CDATA[Moh Fahri Aulia Priatna]]>;
<![CDATA[Muhammad Habib Al Mutawakkil]]>;
<![CDATA[Amanda Ghurin Syalju]]>;
<![CDATA[Nur Azizah]]>;
<![CDATA[Aliffia Anassyahtira Hamzah]]>;
<![CDATA[Ibnu Prastio Wibisono]]>;
<![CDATA[Rega Firgiawan Anwar]]>;
<![CDATA[Siti Rahmah Khairunisa]]>
<![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/ppvqgg56
<![CDATA[In catfish farming activities, there is a sorting process and a calculation process that is carried out manually or conventionally which causes a lack of effectiveness of labor and time in cultivation and causes fish wounds or injuries after the sorting activity. This research aims to make the sorting process easier and more flexible. By considering factors such as weight, length and other physical conditions in a fuzzy manner, the system can provide more accurate decisions in determining the quality and type of fish, increase sorting efficiency, and reduce errors in fish grouping process. Logic systems can provide more accurate assessments, allowing fish producers or traders to better sort fish according to market standards and consumer needs. The data analysis method used uses qualitative methods. Data is analyzed by identifying patterns, themes and categories through the coding and interpretation process. Fuzzification in the development of an automatic fish sorter uses weight (gram) and length (cm) parameters as input while the output is a measure of consumption. Using this tool is said to be more effective than conventional fish sorting.]]>
<![CDATA[The Use off Fuzzy Mamdani to Predict Tilapia Production Based on Freshwater Quality ]]>
<![CDATA[Muhammad Aqshol Dafa Ramadhan]]>;
<![CDATA[Muhammad Raulian Deyastra]]>;
<![CDATA[Fawwaz Fadlurohman]]>;
<![CDATA[Rahmah Syahidah]]>;
<![CDATA[Muhammad Radithya Naufal Apriansyah]]>;
<![CDATA[Devara Ryanta Mulya]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ester Angeline]]>;
<![CDATA[Muhammad Danang Mukti Dermawan]]>;
<![CDATA[Bagas Wibisono]]>;
<![CDATA[Bintan Naktavia]]>;
<![CDATA[Muhammad Surya Ramadhan]]>;
<![CDATA[Evita Maharani]]>;
<![CDATA[Yuliandra Rizky]]>;
<![CDATA[Yahya Ian Keyvin Sitio]]>;
<![CDATA[Fira Arista Dewi]]>;
<![CDATA[Ghinna Zulfia]]>;
<![CDATA[Putri Ryanda]]>;
<![CDATA[Rezky Damayanti Nur]]>;
<![CDATA[Fiqri Nurfadillah]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/3jfbnh51
<![CDATA[Fish cultivation is a form of animal husbandry that is widely practiced by Indonesian people, whether cultivation is in ponds, rivers, or the sea, fish cultivation in ponds requires regular maintenance and feeding of fish. Excessive feeding also affects the water quality of the cultivation media which also affects the survival of the fish. One solution is to build a water quality monitoring system. A monitoring system can be created based on Fuzzy logic which makes it easier to control water quality. In this research, the sensors used were temperature, pH, DO, and ammonia. The data will then be processed by Matlab and will display the results on the screen.]]>
<![CDATA[Application of Fuzzy Logic to Determine Gonad Maturity Level Based on Patin Fish Parent Morphology ]]>
<![CDATA[Zevanya Gultom]]>;
<![CDATA[Muhammad Danang Mukti Darmawan]]>;
<![CDATA[Ester Angeline]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ida Bagus Wahyu Rizky Himayasa Putra]]>;
<![CDATA[Bima Widya S]]>;
<![CDATA[Shepia Wardina]]>;
<![CDATA[Dini Anisa Amaliasari]]>;
<![CDATA[Amanda Bhanuwatie]]>;
<![CDATA[Naura Nazhara N]]>;
<![CDATA[Naufalariq Syawal Athallah]]>;
<![CDATA[M. Aldo Ramdhan Pratama]]>;
<![CDATA[Maulana Ishaq]]>;
<![CDATA[Gavrilan Hafiz Rangkuti]]>;
<![CDATA[Camelia Trirahmawati]]>;
<![CDATA[Afifah Nur Lina Putri]]>;
<![CDATA[Ilham Galeh Ramadhan]]>;
<![CDATA[Debora Florence Nainggolan]]>;
<![CDATA[Fiqri Nurfadillah]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/90nb0m26
<![CDATA[The fish gonad maturity detector uses fuzzy logic to provide information about the level of gonad maturity accurately. The utilization of fuzzy logic in determining the level of maturity of catfish gonads offers significant advantages over traditional methods. The data collection method used is qualitative through direct observation of the characteristics of catfish broodstock in the rearing pond as well as literature study of previous research. Observations were made to understand the physical characteristics, while the literature study was to support the creation of a fuzzy logic system. The system has an initial stage in determining fuzzy sets for input and output variables, as well as the formation of fuzzy rules using IF-THEN. including better accuracy and the ability to accommodate individual variations and environmental conditions. Traditional methods of determining the maturity level of fish gonads, such as visual observation and GSI calculation, have their own weaknesses. Therefore, the application of fuzzy logic can help reduce the risks and side effects experienced by fish, and increase the effectiveness and efficiency in determining the level of maturity of catfish gonads.]]>
<![CDATA[Automatic Feeding System for Fish Using Fuzzy Logic Method ]]>
<![CDATA[Sevril Anugrah K Surbakti]]>;
<![CDATA[Cindy Arditha Claudia Manurung]]>;
<![CDATA[Mohammad Hafiz Fachrezi Lubis]]>;
<![CDATA[Zakaria Hidayatullah]]>;
<![CDATA[Rahiim Tahajjadan Zhaahir Haq Haq]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ivan De Nerol]]>
<![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/z67j0354
<![CDATA[This investigate presents an inventive approach to upgrade angle cultivating hones through the usage of an Programmed Bolstering Framework utilizing Fluffy Rationale. The proposed framework points to optimize the bolstering handle by considering components such as water temperature, water quality, and the time of the past nourishing. Fluffy rationale calculations are utilized to create brilliantly choices with respect to the amount of nourish, sort of bolster, ideal nourishing time, and the in general wellbeing status of the angle. The system's flexibility to changing natural conditions makes it a profitable device for economical aquaculture hones.]]>
<![CDATA[Implementation and Comparison of Coffee Bean Drying Temperature SettingsBased on Fuzzy Logic ]]>
<![CDATA[Mohammad Ghassan Alghifari]]>;
<![CDATA[Indah Suraswati]]>;
<![CDATA[Kenji Restan Syahuri]]>;
<![CDATA[David Zico Rafael Sitorus]]>;
<![CDATA[Kevin Viriya Halim]]>;
<![CDATA[Inna Novianty]]>;
<![CDATA[Nanda Octavia]]>;
<![CDATA[Ivan De Nerol]]>
<![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/cj817x36
<![CDATA[This research examines the implementation and measurement of temperature in drying coffee beansusing a fuzzy logic approach. Two main methods, namely the Mamdani Method and the SugenoMethod, were applied and evaluated in this context. Data on temperature, humidity, and water contentof coffee beans are collected during the drying process for use in the implementation of both methods.Implementation is carried out using MATLAB software, with detailed steps for each method. TheMamdani method involves fuzzification processes, inference using fuzzy rules, and defuzzification toobtain concrete values for temperature settings. Meanwhile, the Sugeno Method also involvesfuzzification of input data, but uses a linear fuzzy model for inference, so it does not require adefuzzification stage. The results and discussion of this study highlight the performance differencesbetween the two methods. Evaluation is carried out based on temperature prediction accuracy andenergy efficiency. The Mamdani Method shows good accuracy in predicting temperature, while theSugeno Method highlights efficiency and efficiency in the temperature regulation process. Therefore,this study provides valuable insight into selecting a suitable method for temperature regulation ofcoffee bean dryers]]>
<![CDATA[Analysis of Google Play Store Apps Data Using Tableau Data Visualization Application ]]>
<![CDATA[Fiona Kharismatunnisaa]]>;
<![CDATA[Yourdan Saputra]]>
<![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/fct2yw28
<![CDATA[This research aims to enhance understanding of big data management and processing. One of the challenges faced is the complexity and large volume of data, which requires effective tools and techniques for analysis and visualization. The objective of this study is to analyze Google Play Store app data based on categories and ratings, and to visualize the results using Tableau. The research method employs a quantitative approach with a framework that includes problem formulation, data collection from the Google Play Store Apps database obtained from kaggle.com, data processing, and analysis using Tableau. The results of the study indicate that the use of data visualization in the form of management graphics, such as horizontal bars and treemaps, is highly effective in identifying the comparison of the number of applications based on categories and ratings. These visualizations facilitate understanding the distribution and trends of applications on the Google Play Store. In conclusion, this research demonstrates that data visualization with Tableau can optimize big data processing and provide valuable insights into the distribution of app categories and ratings on the Google Play Store. These findings underscore the importance of using visualization tools in big data analysis to enhance understanding and improve decision-making.]]>
