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All Journal Jurnal Pendidikan Vokasional Teknik Elektronika (JVoTE) Jurnal Pengabdian Masyarakat Fakultas Teknik: Jurnal Abditek
Agam Nizar Dwi Nur Fahmi
Universitas Negeri Jakarta
Humanities Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mechanical Engineering Other

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Penerapan Smart Control Berbasis Iot untuk Pengendalian Hama pada Kelompok Tani Palawad, Desa Kronjo, Kabupaten Tangerang Vina Oktaviani; Basso Maruddani; ZE. Ferdi Fauzan Putra; Agam Nizar Dwi Nur Fahmi
Jurnal Pengabdian Masyarakat Fakultas Teknik : Jurnal Abditek Vol. 5 No. 02 (2025): Jurnal Pengabdian Masyarakat Fakultas Teknik : Jurnal Abditek
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/abditek.052.01

Abstract

Ketahanan pangan menjadi isu strategis dalam pembangunan berkelanjutan, namun tantangan utama di sektor pertanian adalah serangan hama yang menyebabkan kerugian signifikan. Kelompok Tani Palawad di Desa Kronjo, Kabupaten Tangerang, menghadapi persoalan serius berupa serangan hama tikus yang menurunkan hasil panen hingga 25–30% setiap musim. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kapasitas petani melalui penerapan sistem Smart Control berbasis Internet of Things (IoT) sebagai teknologi tepat guna untuk pengendalian hama. Metode pelaksanaan mencakup sosialisasi, pelatihan literasi teknologi, penerapan alat di lahan percontohan, pendampingan, serta evaluasi hasil. Hasil kegiatan menunjukkan peningkatan literasi teknologi pada lebih dari 80% petani, berkurangnya serangan hama hingga 30%, serta peningkatan hasil panen minimal 10% dalam satu musim tanam. Program ini diharapkan dapat menjadi model pertanian cerdas berbasis teknologi yang berkelanjutan untuk mendukung ketahanan pangan lokal.
Pelatihan Pemanfaatan Kecerdasan Buatan untuk Pengambangan Media Pembelajaran di Desa Singasari, Jonggol Muhamad Wahyu Iqbal; Jusuf Bintoro; Vina Oktaviani; Agam Nizar Dwi Nur Fahmi; Priangga Pratama Putra Haryanto
Jurnal Pengabdian Masyarakat Fakultas Teknik : Jurnal Abditek Vol. 5 No. 02 (2025): Jurnal Pengabdian Masyarakat Fakultas Teknik : Jurnal Abditek
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/Abditek.052.04

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan kesiapan pedagogik guru di Desa Singasari, Jonggol dalam pemanfaatan kecerdasan buatan/Artificial Intelligence (AI) untuk mengembangkan media pembelajaran. Masalah yang dihadapi adalah rendahnya adopsi AI, belum adanya standar penulisan prompt, dan kebutuhan literasi etika penggunaan AI. Kegiatan dirancang untuk menilai dampak pelatihan terhadap kompetensi guru dan kualitas produk ajar. Metode yang digunakan adalah pelatihan luring bagi 22 guru dari mata pelajaran dengan desain pretest serta posttest, praktik terarah, penugasan pembuatan media dan kuesioner singkat. Hasil penelitian ini rata-rata pretest sebesar 88,18 meningkat 97,73 pada posttest, dengan rata-rata kenaikan rata-rata 9,55 poin, hasil juga menunjukkan seluruh peserta mencapai kelulusan dengan nilai pascapelatihan minimal ≥ 80 mencapai 100%, N-Gain memiliki rata-rata 0,81 atau memiliki efektivitas tinggi, perbedaan signifikan terhadap uji t berpasangan sebesar (t(21) = 4,11 dengan p = 0,0005) dan memiliki efek besar (Cohen’s d = 0,88). Berdasarkan hasil peserta menunjukkan peningkatan pengetahuan dan pemahaman lebih baik terhadap rambu-rambu etika penggunaan AI. Hasil dari pelatihan singkat dengan alur penulisan prompt yang terstandar dikombinasikan dengan verifikasi serta penyelarasan dengan kurikulum dan pengetahuan pedagogis, secara efektif meningkatkan kesiapan pedagogik dan kepercayaan diri guru dalam menggunakan ChatGPT sebagai alat bantu pembelajaran bukan sebagai konten utama. Tindak lanjut yang disarankan adalah memantau dampak hasil belajar siswa, pelatihan lebih lanjut tentang penggunaan AI untuk membantu pembelajaran dan penegasan bahwa AI berperan sebagai alat bantu bukan sebagai konten.
Two-Stage Adaptive Normalization Based on Exponential Moving Average for DC Offset and Variance Non-Stationarity Compensation in Real-Time Volcanic Seismic Signal Preconditioning Radimas Putra Muhammad Davi Labib; Ratri Andinisari; Mochammad Rifki Ulil Albaab; Ferty Lanisa Putri; Fernanda Sucitra Murti; Agam Nizar Dwi Nur Fahmi
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 8 No. 2 (2025): Vol 8 No 2 (2025): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v8i2.71692

Abstract

Volcanic seismic signals output by digitizers as raw counts carry the accumulated imperfections of the entire acquisition chain—specifically, significant DC offset and large-scale variability—thereby violating the stationarity assumption underpinning downstream estimation blocks. This study proposes a two-stage adaptive normalization architecture based on the Exponential Moving Average (EMA) to serve as a statistical pre-conditioning block prior to the Kalman Filter. The first stage removes the DC offset using a recursive mean estimator—analytically equivalent to a first-order high-pass filter—while the second stage performs Z-Score standardization based on a running estimate of the standard deviation. Testing was conducted on a 386.48-second vertical-channel recording from the Leker (LKR) station at Mount Semeru (sampled at 100 Hz; 38,649 samples), characterized by a DC offset of −7,292.4 counts and a variance dynamic ratio of 10.42. With an adaptation constant of 0.005, the effective cutoff frequency of 0.0796 Hz lies approximately eighteen times below the 1.42 Hz fundamental frequency of the harmonic tremor, resulting in a passband attenuation of only −0.035 dB. Results demonstrate that the estimator locks onto the bias with a discrepancy of 7.72 counts (0.070% of the signal's standard deviation), reduces the dynamic ratio to 1.52, and yields an output where 99.989% of samples fall within the ±3 range. The Normalized Innovation Squared test confirms that the static covariance parameters of the Kalman Filter remain consistent with the normalized input, yielding a ratio of 1.17 compared to 17.10 for the raw input—an improvement factor of 14.6. The algorithm requires 8 bytes of state memory and 0.0104% processor utilization on an ARM Cortex-M4F at 48 MHz, whereas static normalization of the same recording requires 151.0 kB and cannot be implemented on that platform.
Decomposition of the 605 kW Base-to-Peak Load Gap in a Hospital Building: Evidence of Occupancy Schedule Dominance over Cooling Load in Demand-Side Management Strategies Radimas Putra Muhammad Davi Labib; Bagus Tri Kuncoro; Ade Ayu Rahmawati; Vina Oktaviani; Agam Nizar Dwi Nur Fahmi; Made Dika Nugraha
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 8 No. 2 (2025): Vol 8 No 2 (2025): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v8i2.72074

Abstract

The reliability of a hospital's power supply hinges on the accurate determination of backup source capacity; however, standard design practices typically rely on static installed power values ​​without accounting for dynamic load fluctuations. This study characterizes the electrical load profile of a healthcare facility using a reference load profile derived from building energy simulations, comprising 8,760 hourly observations over a full year. The analysis procedure includes timestamp validation, power balance verification, end-use decomposition, descriptive statistics for weekday and weekend profiles, percentile-based clustering to distinguish between base load (5th percentile) and peak load (95th percentile) regimes, and vulnerability zone mapping via load duration curves. The recorded average load was 1,156.3 kW, with an annual peak of 1,576.2 kW and a load factor of 0.734. The dynamic range between the base load (880.2 kW) and peak load (1,484.9 kW) was 604.7 kW (38.4% of the peak load), while the non-sheddable vital load measured 695.7 kW. Decomposition of this range revealed a decoupling between energy share and peak contribution: cooling systems accounted for 43.3% of annual energy consumption but contributed only 10.4% to the dynamic range, whereas lighting and interior equipment collectively contributed 59.7%. The weekend load deficit was only 14.7% (177.4 kW) and was concentrated during active hours; the difference was less than 1% during nighttime hours but reached 26.9% at 16:00. Vulnerability mapping indicates that a 17.5% reduction in generator capacity is achievable through a maximum load shed of 276.2 kW, all of which falls within the category of deferrable loads. These findings shift demand-side management priorities toward scheduled loads rather than air conditioning systems.
Optimization of Notch Band Frequency in Communication Technology Using Different SRR Types in Vivaldi Antenna Agam Nizar Dwi Nur Fahmi; Nurhayati Nurhayati; Miftahur Rohman
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 8 No. 1 (2025): Vol 8 No 1 (2025): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v8i1.72334

Abstract

This research was based on M-Vivaldi (Modification Vivaldi) antenna design, which had a bandwidth of 2.4-9.1 GHz with a total antenna size of 150 x 75 mm. In the M-Vivaldi design, Split Ring Resonator (SRR) was incorporated to introduce a band-notch effect. The SRR came in various types, including Complementary Square-Split Ring Resonator (CS-SRR), Complementary Circular-Split Ring Resonator (CC-SRR), Half Circular-Split Ring Resonator (HC-SRR), and Flower-Split Ring Resonator (F-SRR). These different SRR types created distinct notch band, resulting in a combination of all SRR types into All Complementary-Split Ring Resonator (AC-SRR). The research focused on five notch band, namely 1.5-2.3 GHz, 2.4-2.8 GHz, 3.2-3.7 GHz, 3.2-4.8 GHz, and 6.4-7 GHz. These notch band effectively mitigated interference in Ground Penetrating Radar (GPR), Wireless Local Area Network (WLAN), Worldwide Interoperability for Microwave Access (WiMax), and Band Satellite communication.
Co-Authors Ade Ayu Rahmawati Bagus Tri Kuncoro Basso Maruddani Fernanda Sucitra Murti Ferty Lanisa Putri Jusuf Bintoro Miftahur Rohman Mochammad Rifki Ulil Albaab MUHAMAD WAHYU IQBAL Nugraha, Made Dika Nurhayati Nurhayati Priangga Pratama Putra Haryanto Radimas Putra Muhammad Davi Labib Ratri Andinisari Vina Oktaviani ZE. Ferdi Fauzan Putra