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All Journal International Journal of Advances in Applied Sciences Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Riset Rekayasa Elektro Leibniz: Jurnal Matematika IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Sekar Sari
Politeknik Internasional Tamansiswa Mojokerto
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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Edukasi Bijak Sampah dan Tanggap Kebakaran di TK dan SDN Bendotretek melalui Program Volunteer Sekolah Berdaya #4: Pengabdian Sekar Sari; Rizka Yusvida
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.6359

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman siswa mengenai pentingnya menjaga kebersihan lingkungan serta kesiapsiagaan terhadap bahaya kebakaran sejak usia dini. Kegiatan dilaksanakan di TK dan SDN Bendotretek Sidoarjo melalui program volunteer Sekolah Berdaya #4. Metode pelaksanaan kegiatan dilakukan melalui penyampaian materi edukatif, permainan interaktif, diskusi, dan simulasi sederhana yang disesuaikan dengan karakteristik peserta didik. Materi edukasi meliputi pengenalan jenis sampah organik dan anorganik, pentingnya membuang sampah pada tempatnya, penyebab kebakaran, serta langkah awal penyelamatan diri ketika terjadi kebakaran. Evaluasi kegiatan dilakukan melalui observasi terhadap partisipasi dan respon siswa selama kegiatan berlangsung. Hasil kegiatan menunjukkan bahwa peserta didik mengikuti kegiatan dengan antusias dan aktif dalam sesi tanya jawab maupun simulasi. Pendekatan edukasi interaktif dinilai efektif dalam membantu siswa memahami materi dengan lebih mudah dan menyenangkan. Kegiatan volunteer ini diharapkan dapat menumbuhkan kesadaran lingkungan dan meningkatkan kesiapsiagaan siswa terhadap kondisi darurat sejak usia dini sehingga dapat membentuk perilaku peduli lingkungan dan keselamatan dalam kehidupan sehari-hari.
Pemodelan dan Peramalan Beban Listrik Jangka Pendek Menggunakan ARIMAX dengan Variabel Eksogen Parameter Kelistrikan Rizka Yusvida; Dwi Heru Siswantoro; Sekar Sari; Mokhammad Firmansyah
Jurnal Riset Rekayasa Elektro Vol. 8 No. 1 (2026): JRRE VOL 8 NO 1 JUNI 2026
Publisher : PROGRAM STUDI TEKNIK ELEKTRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrre.v8i1.28814

Abstract

Peramalan beban listrik jangka pendek merupakan komponen penting dalam pengelolaan sistem tenaga, terutama untuk mendukung penjadwalan operasi dan pengambilan keputusan pada level distribusi dan gedung. Penelitian ini menyajikan pemodelan dan peramalan beban listrik jangka pendek menggunakan model Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) berbasis data hasil pengukuran Power Meter Schneider PowerLogic PM800 yang direkam oleh data logger berbasis ESP32. Data diambil pada salah satu gedung dengan interval pencatatan 5 menit dan menghasilkan 4.789 sampel setelah proses pra-pemrosesan. Daya aktif total (P Total) digunakan sebagai variabel terikat, sedangkan arus rata-rata tiga fasa (IAVE), tegangan rata-rata antar fasa (V LL-Ave), dan faktor daya (PF) digunakan sebagai variabel eksogen yang secara fisis berkaitan dengan persamaan daya tiga fasa.
A Numerical Comparison of Finite Difference and Linear Shooting Methods for a Non-Homogeneous Cauchy-Euler Boundary Value Problem MUNA AFDI MUNIROH; Noraniza Bahrotul Ilmi; Sekar Sari
Leibniz: Jurnal Matematika Vol. 6 No. 02 (2026): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v6i02.833

Abstract

This study presents a comparative numerical analysis of the Finite Difference Method (FDM) and the Linear Shooting Method (LSM) for solving a second-order non-homogeneous Cauchy-Euler boundary value problem subject to Dirichlet, Neumann, and Robin boundary conditions. In contrast to previous studies that often employ different differential equations for different numerical experiments, this study uses an identical Cauchy-Euler equation while varying only the boundary conditions. This unified framework enables a more systematic investigation of the influence of boundary conditions on the performance of the numerical methods. Numerical solutions are computed using three mesh sizes, N = 10, N = 20, and N = 50. The accuracy of the methods is assessed by comparing the numerical solutions with the exact solution using Maximum Absolute Error (MaxAE) and Mean Absolute Error (MAE). In addition, graphical comparisons of the exact and numerical solutions, together with their corresponding error distributions, are presented to illustrate the solution behavior under different boundary conditions. The numerical results show that both methods produce accurate approximations with decreasing errors as the mesh is refined. The FDM exhibits approximately second-order convergence and requires less execution time, whereas the LSM achieves a higher convergence order and consistently produces smaller MaxAE and MAE values, indicating superior numerical accuracy.
Adaptive sugarcane monitoring in Mojokerto using a hybrid powered IoT multi-sensor system and machine learning Sekar Sari; Oktavia Citra Resmi Rachmawati; Tole Sutikno
International Journal of Advances in Applied Sciences Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i1.pp384-395

Abstract

This study develops a hybrid-powered IoT multi-sensor system integrated with machine learning for sugarcane monitoring in Mojokerto. Four sensors—soil moisture, pH, LM35 temperature, and LDR light—are connected to an Arduino UNO R4 WiFi microcontroller. A hybrid power supply (mains electricity and solar panels) and dual data storage (real-time transmission to Google Sheets and local SD backup) ensure resilience and reliability under field conditions. Sensor data are normalized and smoothed prior to analysis using K-Means clustering to map environmental states and a Random Forest classifier to predict crop health. Field validation demonstrates soil moisture as the most influential parameter, followed by temperature, pH, and light intensity. The Random Forest model achieved 93.01% accuracy, 93.88% precision, 99.02% recall, and a 96.38% F1-score on held-out data. By combining hybrid power, multi-sensor integration, dual storage, and machine learning, the system provides robust, data-informed monitoring that supports timely irrigation and management decisions in sugarcane cultivation.
Exploratory Data Analysis for Monitoring The Environment Variables of Sugarcane Growth Sekar Sari; Oktavia Citra Resmi Rachmawati
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i4.31360

Abstract

Sugarcane is vital to the national sugar industry and food security; however, its productivity is significantly affected by environmental factors, including temperature, light intensity, soil moisture, and pH. Fluctuations in these variables frequently lead to erratic yields and diminished sugar quality. Data obtained from IoT-based monitoring systems is often affected by noise, absent values, and outliers, complicating analysis. This research employs exploratory data analysis (EDA) on IoT-based sensor data to obtain comprehensive insights into environmental factors influencing sugarcane growth. The dataset contains 1,811 non-null entries from sensors that measure temperature, light, soil moisture, and pH. Data preparation encompassed cleansing, addressing missing values, and eliminating outliers. Univariate and multivariate analyses were conducted to evaluate variable distributions and correlations. The findings indicated that eliminating outliers improved data consistency and showed that temperature and pH had near-normal distributions, whereas light and soil moisture were skewed. A correlation study revealed moderate associations between light and pH, while regression analysis confirmed a favorable relationship between light intensity and pH. This research emphasizes enhancing the dependability and interpretability of IoT-based monitoring data through EDA, providing significant insights for precision agriculture. Future research may concentrate on predictive modeling and real-time decision-support systems to enhance farming operations.
Pengaruh Variasi Suhu Kondensor terhadap Kinerja Rotary Vacuum Evaporator pada Ekstraksi Meniran (Phyllanthus Niruri) Dwi Heru Siswantoro; Yayang Permadi; Revvan Rifada Pradiza; Sekar Sari; Rizka Yusvida
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 4 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v4i3.336

Abstract

This study analyzes the effect of condenser temperature variation on the performance of a rotary vacuum evaporator (RVE) in extracting Phyllanthus niruri solution. Three condenser conditions, 23 °C, 30 °C, and without cooling, were tested, each with five replications. Observed parameters included evaporation time, mass reduction rate, energy consumption, and flavonoid content, which were analyzed statistically using Analysis of Variance (ANOVA). Results showed that the 23 °C condenser achieved the highest mass reduction rate (3.78 g/min) and the lowest energy consumption (0.14 kWh). At 30 °C and without cooling, mass reduction rates decreased to 3.02 g/min and 2.24 g/min, while energy consumption rose to 0.19 kWh and 0.20 kWh. The 23 °C condenser also produced the highest flavonoid content (11.9 mg/mL), confirming optimal thermal efficiency. This work fills the research gap on the effect of condenser temperature on energy efficiency and extract quality in RVE systems and provides a basis for developing energy-efficient evaporators for small-scale herbal industries.
Co-Authors Dwi Heru Siswantoro Mokhammad Firmansyah Muna Afdi Muniroh Noraniza Bahrotul Ilmi Oktavia Citra Resmi Rachmawati Revvan Rifada Pradiza Rizka Yusvida Rizka Yusvida Tole Sutikno Yayang Permadi