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Journal of Applied Science, Technology & Humanities
Published by Yayasan Batrisya
ISSN : -     EISSN : 30325765     DOI : https://doi.org/10.62535/jasth
Core Subject : Economy, Humanities, Science, Social, Engineering,
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 132 Documents
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Integration of ResNet50 Architecture in Food Image Detection Systems for Dynamic Nutrition Estimation Icha Maulidya; Siti Farah Fakhirah; Jonser Steven Rajali Manik; Asa Yuaziva
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/w4wdnq37

Abstract

The development of modern lifestyles demands accurate food intake management to maintain health quality. This study aims to assess NutriScan, an online tool for identifying the type of citra and calculating calories automatically. The AICrowd Food Recognition Challenge dataset is used for quantitative modeling utilizing the Convolutional Neural Network (CNN) ResNet50 architecture based on transfer learning, and nutritional data is integrated via Application Programming Interface (API). Data augmentation, cropping, scaling, and normalization are used in the processing of Citra. According to the study's findings, NutriScan has the potential to be an effective and adaptable web-based solution with an accuracy of roughly 75%, precision of 76%, recall of 75%, and F1-score of 75%
Digitalization of Forestry Museum Visiting Services Through the Implementation of a Reservation and Scheduling Platform Jonser Steven Rajali Manik; Asa Yuaziva; Icha Maulidya; Siti Farah Fakhirah; Ridwan Siskandar
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/h1seca22

Abstract

This research is motivated by the Forestry Museum’s manual reservation process, resulting in irregular schedules and difficulties in managing visitor data. This research aims to build a digital reservation and scheduling platform from scratch using the Prototyping method supported by the Laravel, AJAX, and MySQL frameworks. Functional testing used the Black-Box Testing method, while user experience testing used the System Usability Scale (SUS). The Black Box Testing results showed a 100% success rate. The usability evaluation resulted in an average SUS score of 84.5 placing the system in the Acceptable category. Performance testing resulted in an average visitor form submission time of 0.34 seconds and admin decision execution time of 6.95 seconds, proving the system is capable of processing every data transaction instantly from a technical perspective, thus supporting the smooth flow of overall reservation confirmation. The systems meets the museum’s needs and is easy to use.
Implementation of a Performance Metrics-Based Dashboard Summary Feature on the One Direction Website for Sales Monitoring Siti Farah Fakhirah; Icha Maulidya; Asa Yuaziva; Jonser Steven Rajali Manik
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/2a057970

Abstract

Tactical decision-making in the telecommunications industry requires fast and centralized access to sales performance data. However, performance metrics on the internal corporate website used by PT XYZ are currently distributed across separate modules, leading to repetitive navigation and risks of data inconsistency from manual compilation. This study aims to design and implement a Dashboard Summary feature as a centralized monitoring interface for the Eastern Jabotabek regional division. The system was developed using the Prototyping method, utilizing Laravel as the backend framework and Tailwind CSS for the responsive frontend. The feature integrates three key performance metrics, namely Revenue, Broadband Pack (BBPACK), and Market Share, alongside a Managerial Notes module for the structured documentation of managerial action plans. System validation was carried out through Black Box Testing across 43 test scenarios and direct SQL query comparisons, both of which yielded a 100% success rate. User Acceptance Testing (UAT) involving ten purposively selected respondents produced an overall acceptance score of 95.94%, categorized as Very Feasible. These results indicate that the developed Dashboard Summary feature effectively consolidates fragmented performance data into a single, reliable interface, thereby supporting faster and more consistent operational decision-making.
Implementation of a Sales-Driving Factors Feature Based on Sales Data (5S) on the OneDirection Monitoring Website Asa Yuaziva; Jonser Steven Rajali Manik; Siti Farah Fakhirah; Icha Maulidya
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/r9mhyh34

Abstract

The Monitoring Onedirection website at PT XYZ does not yet provide a sales data analysis feature based on the 5S components, namely Sales Out (SO), Sales Acquisition (SA), Sales Through (ST), Sales Renewal (SR), and SBP DD Warehouse Stock (SD). As a result, employees still calculate business performance indicators manually using Microsoft Excel, which is prone to errors and inefficient. This study aims to develop a 5S-based Sales Driver feature for the Monitoring Onedirection website at PT XYZ and evaluate its level of user acceptance. The research employs the Rapid Application Development (RAD) method using the Laravel framework. The developed feature consists of six main pages equipped with daily trend charts, four-level hierarchical regional tables, and automatic calculations of Month to Date (MTD), Month over Month (MoM), Year over Year (YoY), and Delta MoM metrics. The Black Box Testing results showed a 100% success rate across 68 test scenarios, while User Acceptance Testing (UAT) involving eight respondents achieved an average score of 92.73%, categorized as Highly Feasible. Therefore, the Sales Driver feature was successfully implemented and proven effective in supporting data-driven monitoring and analysis of sales performance.
Development of a Web-Based ETL Automation System to Support Monthly Reports Icha Maulidya; Siti Farah Fakhirah; Jonser Steven Rajali Manik; Asa Yuaziva
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/2nepa911

Abstract

The process of preparing monthly reports in the Asset Accounting Department of PT RS was hampered by manual data transformation and the lack of centralized storage, which caused historical data to be scattered, difficult to track, and vulnerable to human error. This condition prompted the development of a web-based Extract, Transform, Load automation system that integrates data cleansing, schema validation, a centralized repository, and a reporting dashboard as a replacement for external Business Intelligence tools. The methodology used was Rapid Application Development with Python (Flask) and MySQL. The system was tested through Alpha Testing with Black Box Testing using the Equivalence Partitioning technique for 34 test cases resulting in a validation percentage of 100%. Beta Testing to 8 respondents resulted in a feasibility of 96.4% (Admin) and 99.1% (User) in the "Very Feasible" category, as well as Performance Testing with an error rate of 0.00% at normal load and 0.30% at high load, as well as a stable throughput of 3.1 transactions per minute. These test results confirmed that the system met all acceptance criteria and was suitable to support a more efficient monthly report process.
Smartura: Development of an Internet of Things-Based Electrical Control and Data Acquisition System Chika Hayya Sabillah
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/gazxd883

Abstract

Indonesia's rising residential electricity consumption and the passive nature of conventional electrical terminals create risks of energy waste, overload, and fire hazards, since existing terminals offer no monitoring or remote-control capability. This research aimed to design and implement Smartura, an IoT-based smart electrical terminal integrating remote load control, real-time monitoring of electrical parameters, a usage timer, automatic overload protection, and energy/cost estimation in a single system. The system uses an ESP32 microcontroller, a relay actuator, ACS712 and ZMPT101B sensors for current and voltage sensing, and a website connected to Firebase for authentication and real-time data exchange. The method comprised a literature study, observation, hardware and software design, and performance testing on data collected from 5–11 June 2026. Results showed reliable on/off control through the dashboard, recording 5,785 relay-on and 408 relay-off data points out of 6,193 readings. Voltage and current monitoring achieved MAPE values of 1.69% (very good) and 12.38% (fairly good). The timer and overload-protection features worked as designed, disconnecting the relay above a 5.45 A/1,200 W threshold. Average measured values were 213.15 V, 0.164 A, 35.07 W, 3.62 kWh, and an estimated cost of Rp5,229.29. Smartura demonstrates an integrated, low-cost IoT solution for residential electrical monitoring and control.
Evaluation of Random Forest and LSTM for sEMG-Based Estimation of Two DOF Wrist Kinematics Muhammad Restu Alvian Firmansyah; Alwi Harliansyah HRP
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/b03ak471

Abstract

Robotic wrist rehabilitation after stroke requires control signals that reflect the user’s volitional intent, while clinically deployable systems are constrained by the number of surface electromyography (sEMG) channels that can be practically placed on a hemiparetic forearm. This study evaluates how far a single sEMG channel can support discrete motion-intent classification and continuous two-degree-of-freedom (2-DOF) wrist kinematic estimation for exoskeleton control. Two anonymised datasets, recorded at 200 Hz using one forearm sEMG channel and one inertial measurement unit (IMU), were processed through detrending, 50 Hz notch filtering, fourth-order zero-phase 20–90 Hz band-pass filtering, and 250 ms windowing with 50% overlap. Seven time- and frequency-domain features were extracted and provided to Random Forest (RF), long short-term memory (LSTM), and hybrid RF–LSTM models. Under a strict held-out-trial protocol, LSTM achieved higher five-class classification accuracy than RF (95.56% versus 87.28%). Regression performance was weaker: LSTM produced the best flexion–extension result (R² = 0.290, RMSE = 12.49°), while hybrid RF–LSTM performed best for radial–ulnar estimation (R² = 0.204, RMSE = 12.35°). Closed-loop Dynamixel MX-28AT tracking showed zero overshoot. Overall, single-channel sEMG supports reliable intent classification, but proportional angle estimation remains limited, indicating that further sensing or regression-specific feature optimization is required for precise control.
Extended Telemetry Reliability Analysis of a Solar-Powered IoT Smart Irrigation System Alwi Harliansyah HRP; Muhammad Restu Alvian Firmansyah
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/ak67hc54

Abstract

This study presents a differentiated reanalysis of telemetry from a stand-alone solar-powered smart irrigation prototype. Instead of repeating the final-project summary, the analysis uses an updated August export containing 602 additional observations and applies continuity, completeness, temporal harmonization, ceiling-aware soil-moisture, and rule-consistency audits. The combined dataset contained 12,025 unique timestamps from 1 July to 9 August 2026. No missing value was interpolated. Sampling gaps greater than 30 minutes formed 42 sessions, while ten core telemetry fields were simultaneously valid in 63.29% of records. The two soil-moisture channels produced 3,819 paired observations and 3,682 paired five-minute bins. The automatic and manual channels reached the 100% ceiling in 71.25% and 46.35% of paired records, respectively; daily median differences were therefore zero percentage points with an interquartile range of 0-6. Across 3,789 valid battery-voltage and Energy Management System code pairs, threshold agreement was 99.60%. After 9 July, panel and battery voltage ranks were strongly associated (rho=0.995), with a median offset of 0.06 V. The extended audit confirms reliable rule classification and closely tracking voltage channels, but it also shows that sensor ceilings, incomplete environmental readings, and absent pump-ON history prevent valid claims about irrigation, water, or energy efficiency.
Development of a Pesticide Spraying Station for Integration with the ANTRAC UGV Muhammad Faiz Assariy
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/12w91802

Abstract

Anthracnose constrains chili production, and calendar spraying applies the same volume regardless of disease condition or canopy size. ANTRAC, an AI-enabled unmanned ground vehicle (UGV) developed at IPB University, detects the disease but has no actuation endpoint. This research developed and tested that endpoint, a spraying station that converts a fruit-level disease index into a metered spray command through four auditable steps: canopy-volume estimation, index-based tank selection, dose calculation bounded by safety rails, and pump-time derivation. An ESP32 controller serves a WebSocket endpoint, selects one of three isolated tank paths, and drives a ten-nozzle boom. Firmware output matched manual calculation in all three tested scenarios. For the 300 × 50 × 80 cm reference strip the lower rail raised the 75.2 mL raw dose to 180 mL, giving a 14.29 s command at 12.6 mL/s. Two hydraulic checks at the 560 mL command delivered 8.4–12.3% less liquid than commanded, locating the dominant error in the open-loop hydraulic path, not the arithmetic. The station held Wi-Fi association through 50 m on an obstructed path and accepted a spray command near −88 dBm. The tests establish station-side functional readiness, not closed-loop operation or agronomic efficacy.
Multi-Hop Mesh IoT System for Environmental Monitoring and Controlled Irrigation of Horticultural Crops Rizki Achmad Rifa'I Warno
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/zddcj087

Abstract

Sustained environmental monitoring of horticultural crops in open fields is difficult to perform manually, and single-link wireless sensor networks confine coverage to the range of one radio hop. This study developed and evaluated a mesh-based Internet of Things system for multi-point monitoring and controlled irrigation. The system comprises five ESP32-C3 Mini nodes carrying DHT22, BH1750 and capacitive soil moisture sensors, and one ESP32 WROOM-32U gateway driving a 12 V relay and pump. Measurements are relayed through painlessMesh, timestamped at the gateway, stored in Firebase Realtime Database and presented on a web dashboard. Network performance was measured over 15 field sessions comprising 1,500 packets, with nodes placed 6.2 to 18.1 m from the gateway. The system achieved a packet delivery ratio of 96.2% and a mean round-trip delay of 398.5 ms; one-hop nodes reached 97.3% and 333.7 ms whereas two-hop nodes reached 94.5% and 495.7 ms. Hop count rather than distance or signal strength governed performance, since two-hop nodes recorded an 11 dB stronger first-hop signal yet delivered fewer packets. Relay nodes drew 71.00 mA against 3.07 mA for leaf nodes, and irrigation operated in both manual and automatic modes.

Page 13 of 14 | Total Record : 132

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