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JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer)
Published by Universitas Merdeka Malang
ISSN : 26565722     EISSN : 2685497X     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics
Sistem Tenaga Generator, Distribusi Daya, Konversi Daya Listrik, Sistem Perlindungan dan Teknologi Bahan elektrik Sinyal, Sistem, dan Elektronik Pemrosesan Sinyal Digital, Pemrosesan Gambar, Sistem Robot, Sistem Kontrol dan Sistem Embeded Sistem komunikasi Telekomunikasi, Komunikasi Nirkabel dan Jaringan Komputer Teknologi Informasi Rekayasa Perangkat Lunak, Penambangan Data Multimedia, Komputasi Bergerak, Komputasi Paralel / Terdistribusi, Inteligensi Buatan, Grafik Komputer dan AR / VR Aplikasi Sains Instrumentasi, Matematika, Fisika, Teknologi Geologi, Kimia, Pendidikan Sains dan Teknologi Kesehatan atau Biomedis.
Arjuna Subject : -
Articles 129 Documents
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Optimalisasi Deteksi Wajah Real-Time Menggunakan HAAR Cascade Classifier berbasis OpenCV Alfan Rizaldy Pratama; Muhammad Nasrudin; Andri Faudzan Adziima; Shindi Shella May Wara
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15485

Abstract

Nowadays, the face is one of the features that is widely used in various aspects of life such as security which includes access control and surveillance, biometrics which includes attendance systems, and many others. The obstacles found in implementing this are generally about speed performance when detecting, this is vital because if the process takes a long time, misconceptions and system errors will occur. HAAR Cascade Classifier is one of the most widely used lightweight face detection algorithms. In this research, by analyzing the use of grayscale color compared to RGB, a performance increase of 6.17% is obtained with an average FPS on RGB of 25.63 while on grayscale it is 27.21.
Prediksi Hasil Produksi Beras di Kabupaten Lamongan Menggunakan Stochastic Frontier Analysis (SFA) Imelda Widya Ningrum; Dwi Arman Prasetya; Trimono
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15556

Abstract

The agricultural sector plays a crucial role in the Indonesian economy, especially in maintaining food estate and economic stability. This study aims to identify and improve the technical efficiency of rice production in Indonesia using Stochastic Frontier Analysis (SFA). Agricultural data were analyzed through validation, cleaning, feature selection, and modeling with a log-linear Cobb-Douglas production function estimated using Maximum Likelihood Estimation (MLE). Model performance was evaluated on training and test data using Log-likelihood, R-squared, and Mean Absolute Percentage Error (MAPE). The results showed good model prediction performance on test data (R-squared = 0.6658 and MAPE = 14.34%). Technical inefficiency analysis indicated that the level of inefficiency among farmers in Lamongan Regency was relatively low and homogeneous. However, the efficiency frontier analysis identified significant opportunities to increase rice yields through more efficient management of production factors and reduction of inefficiencies
Analisis Potensi Sampah di Kuantan Singingi untuk Pembangkit Listrik Tenaga Sampah (PLTSa) Landfill Gas (LFG) Boy Ihsan; Dicky Pangindra; Iswadi Hasyim Rosma
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15607

Abstract

Waste Power Plant (PLTSa) is one of the solutions to overcome waste problems and as electricity supply. This study analyzes the technical and economic feasibility of building a PLTSa at the Muaro Sentajo Landfill, Kuantan Singingi Regency, which uses the sanitary landfill method. The organic waste produces landfill gas (LFG), especially methane, which can be used as fuel for power generation. The estimated LFG content was calculated using the U.S. Environmental Protection Agency model and Landfill Gas Emmisions Model (LandGEM) software. The results show that by the end of the operation period, the landfill can produce 2,966,400 m³ of methane gas capable of operating a power plant with output of 2.39 MW. The analysis shows that the project is financially feasible, with a Net Present Value (NPV) of Rp13.8 billion, Benefit-Cost Ratio (BCR) of 1,1648, Internal Rate of Return (IRR) of 14.2%, and Payback Period of 11 years 8.3 months
Prediksi Volatilitas Saham KINO dan MRAT menggunakan Model BEKK-MGARCH Renaldy Al Ikhsan; Wahyu Syaifullah Jauharis Saputra; Kartika Maulida Hindrayani
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15639

Abstract

This study analyzes the volatility prediction of KINO and MRAT stocks using the BEKK-MGARCH model during January 2019 to December 2024. Both stocks exhibit high price fluctuations, with volatility significantly influenced. Persistence effects are more dominant, with asymmetric spillover where KINO's influence on MRAT is stronger. Conditional correlation shows a shift from positive to negative in the 30-day forecast. Model evaluation demonstrates low RMSE values of 2.05×10⁻⁵ (KINO), 3.38×10⁻⁵ (MRAT), and 4.42×10⁻⁵ (covariance), indicating excellent predictive performance and confirming the reliability of the BEKK-MGARCH model with exponential smoothing in forecasting the volatility dynamics and relationship between these two stocks with high precision. However, the Jarque-Bera test rejects residual normality (p < 2.2×10⁻¹⁶), and the Ljung-Box test detects autocorrelation, suggesting the need for more complex models such as Student-t distribution or asymmetric models. These findings provide important insights for investors in managing risk and portfolio diversification strategies in the cosmetics sector.
Klasifikasi Gerakan Bahasa Isyarat Indonesia (Bisindo) menggunakan Arsitektur Transfer Learning Xception Meisya Vira Amelia; Wahyu Syaifullah Jauharis Saputra; Kartika Maulida Hindrayani
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15674

Abstract

Human communication generally relied on speech. However, this was not applicable to the deaf people, who depended on sign language for daily interactions. Unfortunately, not everyone had the ability to understand sign language. In higher education environments, the lack of individuals proficient in sign language often created inequality in the learning process for deaf students. This limitation could be addressed by fostering a more inclusive environment, one of which was through the implementation of a sign language translation system. Therefore, this study aimed to develop a machine learning model capable of detecting and translating Indonesian Sign Language (BISINDO) alphabet gestures. The model was built using the Xception transfer learning method from Convolutional Neural Networks (CNN). The dataset consisted of 26 BISINDO alphabet gestures with a total of 650 images. The model was evaluated using K-Fold cross-validation and achieved an F1-score of 98% during testing
Pembuatan Sistem Penjualan Aset 3D Blender berbasis Web menggunakan Metode Waterfall Mahesa Dzikri Kurniawan; Bagus Hardika; Daffarizqy Prastowiyono; Muhammad Adzka; Aditya Wicaksono; Muhammad Nasir
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.15694

Abstract

This research developed "3Dify," a web-based 3D Blender asset sales system, employing the Waterfall methodology. Its primary goal is to efficiently facilitate 3D asset acquisition, purchasing, and downloading for creators and users across diverse fields, including education and the creative industry. The development process encompassed needs analysis, UML-based design, implementation using Laravel and MySQL, and functional Black Box testing based on use cases. Implementation results confirm all features operate as expected, from administrator product management to user transactions and downloads. The system significantly enhances the efficiency of 3D asset search and distribution, demonstrating strong potential for future evolution into a digital asset e-commerce platform. Achieving a 90.91% success rate from 44 testing scenarios, this study validates the Waterfall approach's effectiveness in constructing a reliable and structured 3D asset sales system.
Sistem Pemetaan Sinyal Tiga Dimensi Wi-Fi Berbasis Android Elviawan Riyani Septima Hardiyanto; Jihan Aulia Sashiomarda; Andia Enggar Mayasari; Ianatush Sholihah; Yusuf Sulistyo Nugroho
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15707

Abstract

The demand for stable Wi-Fi access continues to rise, but changes in room layouts often lead to degraded signal quality, necessitating efficient detection solutions. This research aims to develop an Android-based application for three-dimensional (3D) Wi-Fi signal mapping, leveraging smartphones as affordable devices to identify problematic areas. The software development employed the Agile methodology, with key features including 3D grid clustering, color-based visualization according to signal strength (-30 dBm to -100 dBm), and multi-SSID support. Evaluation was conducted in two stages: functional testing using the Black Box Testing method, and usability testing using the System Usability Scale (SUS) instrument. Evaluation results showed a usability score of 77.22 (categorized as "Good"), with 44.4% of users willing to recommend the application. This application proved effective for rapid mapping in various environments, particularly in multi-story buildings and for incidental events, offering advantages such as low cost, an intuitive interface, and comprehensive spatial visualization.
Sistem Cerdas untuk Menganalisis Parameter Pengisian Cepat Baterai Kendaraan Listrik menggunakan Raspberry PI 4 Advent Samuel Halomoan; Amperawan Amperawan; Sabilal Rasyad
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15708

Abstract

Advances in electric vehicle (EV) technology drive the need for fast and efficient battery charging. However, fast charging can cause problems such as overheating, cell degradation, and decreased battery performance. This research develops a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN)-based intelligent system running on Raspberry Pi to monitor and predict battery charging parameters in real-time. The system processes data from voltage, current, power, temperature, and State of Charge (SOC) sensors to detect critical conditions such as overcharging and overheating. Equipped with a Human-Machine Interface (HMI) for live data visualization, the system is able to predict SOC with high accuracy (MAE 1.97%, RMSE 2.84%) and respond to automatic control in less than 2 seconds. This integration improves the efficiency and safety of EV battery fast charging.
Software Quality Analysis using the ISO 25010 Standard on the Digital Information System of the Blitar City Government Diajeng Putri Widiastuti; Nur Cahyo Wibowo; Eka Dyar Wahyuni
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.15884

Abstract

The Online and Integrated Personnel Information System (SIKOI) was developed by the Regional Civil Service and Human Resource Development Agency (BKPSDM) to manage the administrative data of approximately 3,200 employees in the City of Blitar. As the system is still under development, this study aims to evaluate the quality of the SIKOI application using the ISO/IEC 25010 standard, which covers both functional and non-functional aspects. The research methods include direct observation and literature review regarding software quality standards. The evaluation was conducted across seven key characteristics: functional suitability, performance efficiency, compatibility, usability, reliability, security, and portability. The results of this study provide insights into the system’s quality and assist system managers in formulating appropriate improvement measures. SIKOI is considered sufficiently feasible to support personnel management in Blitar City; however, several aspects still require improvement in order to fully optimize its overall performance.
Dashboard Berbasis Web untuk Pemantauan Status Gizi Anak: Klasifikasi Otomatis Z-Score WHO, Visualisasi Longitudinal, dan Evaluasi Kegunaan Rian Arie Gustaman; Andri Ulus Rahayu; Imam Taufiqurrahman; Fittur Farabi Sanaz
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.16079

Abstract

This study addressed the need for timely monitoring of child nutritional status by designing, implementing, and evaluating a web-based dashboard. The system captured demographic and anthropometric records, automated status classification using World Health Organization z-scores, and visualized longitudinal growth trajectories. Development followed an iterative, user-centered process and was validated with synthetic records and formative testing by community health workers. Functional testing confirmed correct operation of data entry, classification, and reporting. Against reference calculations, category assignments matched all twenty test cases. Performance profiling indicated responsive interaction (time to first byte about 180 milliseconds; time to interactive about 1.3 seconds), and usability measured with the System Usability Scale fell in the “good” range. Findings suggested readiness for community use and a scalable foundation for future integration and field deployment.

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