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[Integrated Inventory Control Analysis through Demand Forecasting and Probabilistic Stock Modelling ]]>
<![CDATA[Sesar Husen Santosa]]>;
<![CDATA[Agung Prayudha Hidayat]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 5 (2025): November 2025 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/16281v86
<![CDATA[This study addresses the problem of excess chicken egg inventory at agent warehouses caused by the mismatch between fluctuating demand and incoming supply, which frequently leads to product damage and financial losses. The research aims to design an inventory control policy based on demand forecasting and probabilistic inventory modelling to determine an ideal stock level. A quantitative approach is employed by first applying the two‑period Moving Average method, which produces an MSE of 6.17 and a MAPE of 0.10 with a forecast of 65 crates for the ninth period, and then integrating these forecasts into a probabilistic inventory model at a significance level of to obtain a reorder point of 214 crates and a safety stock of 60 crates. The results show that this integrated approach enables the agent to trigger replenishment precisely when on‑hand inventory reaches the reorder point, thereby maintaining an adequate service level while reducing overstock and the risk of spoilage. The combined use of a quantitative forecasting model and a probabilistic inventory framework constitutes the main contribution of this study, offering an integrated decision support scheme for determining both the optimal order timing and the appropriate buffer stock level in a perishable‑goods context.]]>
<![CDATA[MycoTrack: An Integrated Web and YOLOv5-Based Intelligent System for Monitoring and Predicting Wood Ear Mushroom Maturity ]]>
<![CDATA[Wuliddah Tamsil Barokah]]>;
<![CDATA[Dwi Putra Kunto Anggoro]]>;
<![CDATA[Nabil Kurnia Rozano]]>;
<![CDATA[Ariel Mughnika Beers]]>;
<![CDATA[Inna Novianty]]>;
<![CDATA[Dodik Ariyanto]]>;
<![CDATA[Lathifunnisa Fathonah]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 2 (2026): March 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/kfkect89
<![CDATA[Wood ear mushroom (Auricularia auricula-judae) cultivation requires strict environmental control and accurate harvest monitoring. To overcome the shortcomings of labor-intensive and error-prone manual inspection, this research developed MycoTrack, an intelligent system integrating rail-based robotics, YOLOv5 computer vision, and IoT sensors. MycoTrack utilizes a rail-based robot powered by a Raspberry Pi 4. The robot carries a Pi Camera for visual data acquisition and DHT-22 sensors to measure environmental temperature and humidity. This environmental data is continuously monitored and transmitted to a web-based dashboard for real-time visualization, providing instantaneous decision support to farmers. The YOLOv5 model is specifically trained to detect three critical growth phases—incubation, pinning, and fruiting—which enables the prediction of optimal harvest timing. System validation showed DHT-22 sensor accuracy of 96.4% and the YOLOv5 model achieved a mAP@50 of 0.782 with inference speeds suitable for edge devices. The rail robot demonstrated minimal positional deviation (less than 2.3 cm). MycoTrack offers an accessible, automated solution, representing an advancement in precision agriculture for mushroom cultivation. The system is modularly designed for easy adaptation to other mushroom environments and species.]]>
<![CDATA[Developing an Arduino Uno-Based Water Clarity Assessment Instrument at LIPI-Biotechnology ]]>
<![CDATA[Euis Suryati]]>;
<![CDATA[Rahmat Ramadhan]]>;
<![CDATA[Siti Farah Fakhirah]]>;
<![CDATA[Asa Yuaziva]]>;
<![CDATA[Jonser Steven Rajali Manik]]>;
<![CDATA[Icha Maulidya]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 1 (2026): January 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/sw45r435
<![CDATA[Visual monitoring of water clarity in closed laboratory reservoirs poses significant challenges and inefficiencies that may compromise equipment sterilization standards. This study aims to develop an automated water clarity monitoring system at the Research Center for Biotechnology-LIPI utilizing an Arduino Uno microcontroller paired with a BH1750 digital light sensor. The device operates on the principle of light transmission, where suspended particles in turbid water obstruct the light intensity detected by the sensor. Data is processed and transmitted via an Ethernet Shield to a web-based interface for both real-time monitoring and database logging. The research results demonstrate that the device successfully classifies water clarity levels based on light intensity readings, defining clear water as >200 Lux, moderate water as 150-200 Lux, and turbid water as <150 Lux. By providing real-time status updates and automated historical data logs, the system eliminates the need for manual physical inspection. This instrument presents a functional and cost-effective solution to ensure adherence to laboratory water quality standards.]]>
<![CDATA[Design and Construction of a Water Monitoring System at PDAM Tirta Pakuan Bogor Based on Ethernet Shield and LCD ]]>
<![CDATA[Jonser Steven]]>;
<![CDATA[D. Dwi P.]]>;
<![CDATA[Jajang J]]>;
<![CDATA[Siti Farah Fakhirah]]>;
<![CDATA[Icha Maulidya]]>;
<![CDATA[Asa Yuaziva]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 1 (2026): January 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/mxksfq13
<![CDATA[Conventional water monitoring at PDAM Tirta Pakuan Bogor is inefficient and prone to manual errors. This study aims to design a real-time monitoring system to improve operational effectiveness and data validity. Following a four-stage methodology analysis, design, implementation, and testing the device was constructed using an Arduino Uno R3, an Ethernet Shield for stable network connectivity, an ultrasonic sensor, and a 16x2 LCD. The integration of intelligent logic in such systems is crucial for identifying optimal boundary parameters to support decision making. Results demonstrate that the device successfully provides continuous, real-time measurement data via both a web interface and a physical display, aligning with desired specifications. This digital technology support facilitates optimal monitoring through easy access to information. While minor measurement errors occur due to environmental factors, the tool significantly increases the flexibility of information access. In conclusion, the Ethernet Shield and LCD-based system enables reliable monitoring without manual intervention, though it currently requires manual web refreshing to update data.]]>
<![CDATA[Automatic Fish Feeder Control System Based on Arduino Mega, Integrated with Web and SD Card at BPPBAT ]]>
<![CDATA[S.A. Fauziyah]]>;
<![CDATA[N. Galih P.]]>;
<![CDATA[Asa Yuaziva]]>;
<![CDATA[Jonser stevem Rajali Manik]]>;
<![CDATA[Siti Farah Fakhira]]>;
<![CDATA[Icha Maulidya]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 1 (2026): January 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/4745cm33
<![CDATA[Visual monitoring of water clarity in closed laboratory reservoirs poses significant challenges and inefficiencies that may compromise equipment sterilization standards. This study aims to develop an automated water clarity monitoring system at the Research Center for Biotechnology-LIPI utilizing an Arduino Uno microcontroller paired with a BH1750 digital light sensor. The device operates on the principle of light transmission, where suspended particles in turbid water obstruct the light intensity detected by the sensor. Data is processed and transmitted via an Ethernet Shield to a web-based interface for both real-time monitoring and database logging. The research results demonstrate that the device successfully classifies water clarity levels based on light intensity readings, defining clear water as >200 Lux, moderate water as 150-200 Lux, and turbid water as <150 Lux. By providing real-time status updates and automated historical data logs, the system eliminates the need for manual physical inspection. This instrument presents a functional and cost-effective solution to ensure adherence to laboratory water quality standards.]]>
<![CDATA[Design of a Flood Early Warning System (EWS) Based on Fuzzy Logic ]]>
<![CDATA[Dimas Dzikra Pratama]]>;
<![CDATA[Jeremia Andreas Pudiwan]]>;
<![CDATA[Andhika Satriatama]]>;
<![CDATA[Bintang Hamizan Elka]]>;
<![CDATA[Zulvian Hardhan]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/tp9s6180
<![CDATA[Flood disasters remain a recurring hydrometeorological problem in Indonesia, requiring adaptive and reliable early warning systems. This study proposes an Internet of Things (IoT)-based Flood Early Warning System (FEWS) utilizing the Mamdani Fuzzy Inference System to classify flood risk levels. The system integrates three hydrological input parameters: rainfall intensity, water level, and flow rate, acquired through real-time sensors connected to an Arduino Uno microcontroller. A total of 36 fuzzy inference rules were constructed from the permutation of three rainfall sets, three water level sets, and four flow rate sets. The defuzzification process applies the Centroid method to generate a crisp flood alert value. Experimental testing using rainfall of 48 mm, flow rate of 40 m³/s, and water level of 145 cm produced a defuzzification value of 131 (MATLAB simulation) and 130.8 (hardware prototype), both classified under the “Normal” category. The minor numerical deviation (0.2%) confirms system consistency across platforms. The results demonstrate that integrating multi-parameter hydrological variables enhances decision resolution compared to conventional threshold-based systems. Therefore, the proposed model provides an adaptive and reliable approach for real-time flood risk mitigation.]]>
<![CDATA[Computational Analysis of Mamdani Fuzzy Logic on Microcontrollers for Broiler Coop Microclimate Status ]]>
<![CDATA[Fathir Gunadireja]]>;
<![CDATA[Ghina Rania]]>;
<![CDATA[Revan Abdillah]]>;
<![CDATA[Rhaqim Putra Alrusdi]]>;
<![CDATA[Muhammad Faiz Assariy]]>;
<![CDATA[Chika Hayya Sabillah]]>;
<![CDATA[Rizki Achmad Rifa'i Dwi Warno]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/eraczj69
<![CDATA[This research investigates the critical necessity of microclimate regulation within broiler poultry housing by constructing a computational framework grounded in the Mamdani Fuzzy Inference System. Thermal fluctuations, relative humidity shifts, and ammonia accumulation are significantly correlated with poultry mortality rates. The proposed computational model acquires three input parameters (Temperature, Humidity, and Ammonia) to generate two decision variables (Fan Intensity and Coop Safety Status) through the evaluation of 27 logical rules. To ensure system reliability prior to hardware implementation on microcontrollers, the algorithm was validated using the MATLAB commercial simulator. The defuzzification process was executed utilizing the Center of Gravity (COG) approach, which was comparatively analyzed between theoretical mathematical calculations and software projections. The investigative results revealed a fundamental level of accuracy; manual computation recorded a value of 22.62, whereas the simulation instrument projected 22.60. The recorded margin of deviation was extremely reduced, standing at merely 0.088%. These findings confirm that the designed computational architecture is highly precise and strongly recommended for integration into Internet of Things (IoT) ecosystems for real-time agricultural automation.]]>
<![CDATA[Implementation of Mamdani Fuzzy Logic for Determining Bread Doneness Based on Temperature and Time ]]>
<![CDATA[Kinanti Ananda Putri]]>;
<![CDATA[Muhammad Rizki]]>;
<![CDATA[Handyani Alya Safirah]]>;
<![CDATA[Muhammad Kheva]]>;
<![CDATA[Steven Imanuel]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 2 (2026): March 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/3x3nd441
<![CDATA[This study proposes a classification model of bread doneness using a Mamdani Fuzzy Inference System (FIS) based on the nonlinear interaction between baking temperature and time. Conventional threshold-based baking approaches often fail to represent gradual transitions in doneness levels, limiting their adaptability in intelligent oven systems. The proposed model utilizes two input variables—oven temperature (150–230 °C) and baking time (5–40 minutes)—and produces a normalized doneness output categorized as underbaked, properly baked, and overbaked. Fuzzy rules were formulated based on thermal baking characteristics, and the inference process was implemented through fuzzification, minimum operator rule evaluation, maximum aggregation, and centroid defuzzification. Both direct mathematical calculations and MATLAB Fuzzy Logic Toolbox simulations were conducted to validate the model. For a test case of 190 °C and 18 minutes, the system generated a defuzzified value of 66.6, corresponding to the properly baked category. The results demonstrate consistent output behavior and stable classification performance. The proposed model provides an interpretable and computationally efficient decision framework that can serve as a foundational component for intelligent baking systems.]]>
<![CDATA[Fuzzy Logic-Based Decision Support System for Adaptive Plant Watering Volume in IoT Environments ]]>
<![CDATA[Niefa Efrilia Violenic]]>;
<![CDATA[Gesit Tri Nugroho]]>;
<![CDATA[Aldy Arifyan Putra]]>;
<![CDATA[Ahmad Fauzan]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 2 (2026): March 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/5nn07g67
<![CDATA[Conventional irrigation systems often result in inefficient water use due to their inability to adapt to dynamic and uncertain environmental conditions. This study aims to design and simulate an adaptive smart irrigation system using Mamdani Fuzzy Logic Controller (FLC) in an Internet of Things (IoT) architecture. This methodology integrates four environmental parameters, namely Soil Moisture, Air Temperature, Air Humidity, and Light Intensity to calculate the appropriate watering duration, effectively reducing the risk of false positives associated with traditional two-input systems. The mathematical model was verified and simulated using MATLAB Fuzzy Logic Toolbox, with the Centroid defuzzification method. The results show that in extreme testing scenarios, the system successfully calculated the appropriate watering duration of 18 seconds. This analytical calculation perfectly aligns with the MATLAB simulation, demonstrating 100% accuracy with no error deviation. In conclusion, the proposed four-input Mamdani Fuzzy Logic controller effectively reduces data ambiguity and optimizes agricultural water consumption, establishing a solid mathematical foundation for future IoT hardware implementation in precision agriculture.]]>
<![CDATA[Fuzzy Logic-Based Paddy Field Irrigation Control Using pH, Moisture, and Water Level ]]>
<![CDATA[Muhammad Sulthan Alfriansyah]]>;
<![CDATA[Setya Mega Bagaskara]]>;
<![CDATA[Ghazy Hassan]]>;
<![CDATA[Chika Hayya Sabillah]]>;
<![CDATA[Muhammad Faiz Assariy]]>;
<![CDATA[Rizki Achmad Rifa'i Dwi Warno]]>
<![CDATA[ Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026 ]]>
Publisher : <![CDATA[Batrisya Education ]]>
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DOI: 10.62535/zxfzgx38
<![CDATA[Efficient irrigation management is a crucial factor in increasing rice agricultural productivity and maintaining water resource sustainability. Conventional irrigation systems, which are still manually controlled, often lead to water waste, unstable soil moisture, and inappropriate water pH levels for plant growth. This research aims to design and implement a fuzzy logic-based rice field irrigation control system by considering three primary parameters: soil moisture, water level, and irrigation water pH. The system utilizes an Arduino Uno microcontroller integrated with a soil moisture sensor, an HC-SR04 ultrasonic sensor, and a pH sensor. The Mamdani Fuzzy Method is employed as the inference system to determine the opening angle of the water gate controlled by a servo motor. The rule base consists of 27 rules derived from the combination of three linguistic sets for each input variable. The defuzzification process uses the Centroid method to generate a crisp value in the form of the servo angle. The test results demonstrate that the system is capable of adaptively regulating water flow based on soil conditions and water quality, thereby reducing the risk of over-irrigation or under-irrigation. The proposed system exhibits more flexible performance compared to conventional threshold-based systems.]]>
