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PEMBUATAN RUNNING TEXT BERBASIS ARDUINO DENGAN KONEKASI BLUETOOTH UNTUK MENINGKATKAN IPTEKS KARANG TARUNA DESA PADANG CERMIN Yulianti, Titin; Yudamson, Afri; Setyawan, FX Arinto; Septama, Hery Dian; Komarudin, M
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 4 No. 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v4i2.225

Abstract

Karang taruna merupakan wadah pembinaan dan pengembangan potensi sumber daya manusia bagi generasi muda di suatu desa/kelurahan. Demikian halnya dengan karang taruna desa Padang Cermin kecamatan Padang Cermin Kabupaten Pesawaran. Belum adanya pusat pelatihan bidang elektronika dan teknologi di Desa tersebut menjadi persoalan bagi pemuda untuk meningkatkan softskill. Padahal, softskill merupakan hal yang dibutuhkan baik dalam dunia kerja maupun usaha mandiri. Oleh karena itu, untuk meningkatkan softskill pemuda desa Padang Cermin, melalui kegiatan pengabdian kepada masyarakat ini diberikan pelatihan secara langsung proses pembuatan Running text berbasis arduino yang terkoneksi dengan smartphone melalui media bluetooth. Keunggulan Running text yang dibuat yaitu pengaturan tampilan teks dapat dilakukan melalui smartphone yang terkoneksi bluetooth. Kegiatan pengabdian kepada masyarakat ini bermanfaat untuk menambah pengetahuan dan keterampilan peserta yaitu pemuda Karang Taruna desa Padang Cermin dalam rangka peningkatan sumber daya manusia di bidang IPTEKS. Dengan kegiatan ini juga dapat meningkatkan kreatifitas peserta dalam memanfaatkan teknologi untuk menciptakan alat yang inovatif. Hal ini tentunya menambah softskill sehingga dapat berkompetisi di dunia kerja, serta membuka peluang untuk membuat usaha pemesanan pembuatan running text dari pihak luar. Dengan demikian, peningkatan IPTEKS ini bermanfaat untuk peningkatan ekonomi masyarakat khususnya pemuda Karang Taruna. Antusiasme peserta dalam kegiatan ini tercermin dari hasil kuisioner. Para peserta berharap untuk diadakan kegiatan lanjutan terkait penerapan teknologi. Kata kunci: karang taruna, Padang Cermin, teknologi, running text, Arduino, bluetooth
Penggunaan Interpolasi Bilinier Pada Akuisisi Data Massa Muhammad Ifan Saputra; Sri Ratna Sulistiyanti; F.X. Arinto Setyawan
Jurnal Teori dan Aplikasi Fisika Vol. 12 No. 02 (2024): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v12i02.376

Abstract

The bilinear interpolation method is generally used to improve images that have noise. However, in this research the bilinear interpolation method will be used to determine the weight value of a digital scale designed with four load cell sensors. Data collection was carried out by placing loads at nine different points. The loads used are 2kg and 5kg. The results of this research are that the value of the point in the center or on the axis of the four load cells, namely points B, D, E, F, and H, has the same voltage as the actual value, namely for a 2kg weight of 4.31 mV. and for a weight of 5 kg it is 5.87 mV. Meanwhile, the other points, namely points A, C, G and I, have values ​​that deviate from the actual value by 0.36 mV or an error of 36%.   Keywords: Bilinear Interpolation, Digital Scales, Load Cell Sensors.
Design and Implementation of an Artificial Neural Network Model for Soil Nitrogen Prediction Rita Anggraini; Sri Ratna Sulistiyanti; Helmy Fitriawan; FX Arinto Setyawan; Mareli Telaumbanua; Witaningsih Witaningsih
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.732-742

Abstract

The availability of nitrogen in soil is a crucial factor determining crop productivity. However, the measurement of total nitrogen (N-total) content requires considerable time and cost. Therefore, a fast, accurate, and easy prediction method is needed to support the agricultural development. This study aims to develop an Artificial Neural Network (ANN) model based on the backpropagation algorithm to identify soil N-total content using soil pH, moisture content, and soil resistance as input parameters. The model was trained using the trainbr training function with variations of logsig and tansig activation functions and hidden layer structures of 5–5, 8–8, and 12–12 to obtain the best configuration. The training results indicate that the tansig–tansig combination with 8–8 hidden layer structure achieved the highest performance, with a R2 training of 0.953 and a R2 testing of 0.911. The model was implemented in the form of a Graphical User Interface (GUI) application to facilitate field-level prediction. Validation using 40 testing data samples showed a classification accuracy of 70% and an R² value of 0.932 for nitrogen prediction. The model correctly classified 28 data samples out of the total 40 tested data. These results indicate that the proposed model is capable of predicting soil nitrogen content accurately and reliably.
Hysteresis Direct Torque Control of Unity Voltage Ratio Indirect Matrix Converter for Variable-Speed Induction Motor Drive Wahyu Cahyo Hidayat; Charles Ronald Harahap; FX Arinto Setyawan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.2991

Abstract

This paper evaluates the performance of a unity–voltage-transfer-ratio Indirect Matrix Converter (IMC) supplying a three-phase induction motor under hysteresis-based Direct Torque Control (DTC). The objective is to verify whether a unity-ratio IMC (previously validated only for passive loads) can operate reliably in variable-speed motor-drive applications. The main contribution is a comprehensive assessment of speed dynamics, torque-flux regulation, converter voltage behavior, and transient response when driving an 11-kW induction machine. A complete MATLAB/Simulink model is developed, incorporating an AC/AC boost stage, a current-source rectifier, a clamp and braking circuit, and a voltage-source inverter governed by hysteresis DTC with an outer-loop PI speed controller. The procedure involves no-load tests and step-load disturbances at multiple operating frequencies to evaluate steady-state performance and dynamic behavior. The results show that the IMC maintains a stable fictitious DC-link voltage, generates balanced output voltages, and achieves sinusoidal input currents with controllable power flow. The motor exhibits smooth acceleration, slip between 0 and 0.98%, and torque-recovery times of approximately 0.43-0.54 s after load perturbations. These findings demonstrate that the unity-ratio IMC is suitable for high-performance induction-motor drives and provide a foundation for future research on enhanced AC/AC converter topologies.
Implementasi Metode Fuzzy Tahani Pada Sistem Pendukung Keputusan Pemilihan Laptop Berdasarkan Spesifikasi Tiya Muthia; F.X. Arinto Setyawan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.3131

Abstract

Pemilihan laptop berdasarkan spesifikasi merupakan permasalahan pengambilan keputusan yang melibatkan banyak kriteria, seperti harga, kapasitas RAM, kapasitas penyimpanan (ROM), berat perangkat, dan jenis prosesor. Banyaknya alternatif laptop dengan spesifikasi yang beragam menyebabkan proses pemilihan menjadi kurang efektif apabila dilakukan secara manual. Oleh karena itu, diperlukan suatu sistem pendukung keputusan yang mampu membantu proses pemilihan laptop secara objektif dan terstruktur. Penelitian ini bertujuan untuk mengimplementasikan metode Fuzzy Tahani pada sistem pendukung keputusan pemilihan laptop berdasarkan spesifikasi. Metode Fuzzy Tahani digunakan untuk mengolah data spesifikasi laptop yang bersifat tegas (crisp) ke dalam bentuk derajat keanggotaan fuzzy. Proses pengambilan keputusan dilakukan melalui pemeringkatan alternatif dengan mengombinasikan beberapa kriteria menggunakan operator logika AND dan OR untuk memperoleh tingkat kecocokan masing-masing alternatif. Hasil penelitian menunjukkan bahwa metode Fuzzy Tahani mampu menghasilkan pemeringkatan alternatif laptop berdasarkan tingkat kecocokan terhadap kriteria yang ditetapkan. Berdasarkan hasil pemeringkatan tersebut, alternatif laptop dengan nilai kecocokan tertinggi ditetapkan sebagai rekomendasi, yaitu ASUS ZenBook Q408UG. Hasil ini menunjukkan bahwa metode Fuzzy Tahani efektif digunakan dalam mendukung proses pengambilan keputusan pemilihan laptop. Kata Kunci: Fuzzy Tahani; logika fuzzy; pemeringkatan alternatif; pemilihan laptop; sistem pendukung keputusan
Pemetaan Posisi Perokok pada Suatu Ruangan Menggunakan Metode K-Nearest Neighbor (KNN) Anisa Ulya Darajat; Muhammad Qutham Najmi Abdillah; FX Arinto Setyawan; Helmy Fitriawan
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 7 No 1 (2026): Jurnal Electron, Mei 2026
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v7i1.505

Abstract

Due to the high prevalence of smoking among individuals aged 15 and older in Lampung Province and limited enforcement of smoke-free areas, a system was developed to detect and map smoker locations within a 4 × 3.42-meter room using four MQ-7 sensors. The K-Nearest Neighbor (KNN) algorithm classified smoke source locations based on carbon monoxide (CO) concentrations across four designated observation zones. Experimental results indicated that the system had an average sensor reading error of 2.041%. The classification process for smoker positions achieved 93.75% accuracy and displayed smoker locations in Zones 1, 2, 3, and 4 on a dashboard map. Detection and classification data were stored in the InfluxDB database and visualized online using Grafana. The system also delivered real-time values in parts per million (ppm), the status of each zone, and a ten-minute history of ppm values