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Endah Purnomosari
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Metode Pengukuran Kapasitansi Dengan Menggunakan Mikrokontroler Arduino Uno Valentinus Galih Vidia Putra; Andrian Wijayono; Endah Purnomosari; Ngadiono Ngadiono; Irwan Irwan
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol 3 No 1 (2019): JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) - May 2019
Publisher : Program Studi Pendidikan Fisika STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.541 KB) | DOI: 10.30599/jipfri.v3i1.425

Abstract

RC circuit (Resistor-Capacitor) is an electric circuit that has a combination of resistor and capacitor components which are installed either series or parallel. This research was conducted to measure the capacitance of two capacitors with different capacitances with only using one resistor. This study aims to compare the capacitance both experimentally (using data acquisition systems) and theoretically. Capacitance measurements were carried out experimentally using Arduino Uno and at a maximum voltage of 5 volts. In this research, it has been successfully determined the charge capacitance of the capacitors, both in experiment and theory. It has been found the correlation of the results between experiment and theory (the value of R2 in charging and discharging process is greater than 0.95).
Studi Penentuan Kalor Jenis Air dan Larutan Garam Menggunakan Mikrokontroler Arduino Uno Valentinus Galih Vidia Putra; Andrian Wijayono; Endah Purnomosari; Ngadiono Ngadiono; Irwan Irwan
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol 3 No 2 (2019): JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) - November 2019
Publisher : Program Studi Pendidikan Fisika STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.72 KB) | DOI: 10.30599/jipfri.v3i2.462

Abstract

This research was conducted to determine specific heat of pure water and salt solution using the calorimeter measurement method based on the Arduino Uno microcontroller. The salt solution and pure water solution were heated by the heating wire with 2.4 A and 0.54 Ω. The temperature of the pure water and the salt solution was measured using the Arduino Uno microcontroller and DS18B20 temperature sensor. In this study, the Cv of pure water and salt solution has been found.
Pengembangan Alat Uji Efisiensi Lampu Berbasis Mikrokontroller Arduino Uno untuk Evaluasi Tingkat Pencahayaan Lampu Meja Belajar di Laboratorium Fisika-Mekatronika Politeknik STTT Bandung Valentinus Galih Vidia Putra; Andrian Wijayono; Ngadiyono Ngadiyono; Endah Purnomosari
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol 4 No 2 (2020): JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) - November 2020
Publisher : Program Studi Pendidikan Fisika STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v4i2.640

Abstract

In this research, a light efficiency test tool has been designed using an Arduino UNO microcontroller to provide an understanding of the use of the ohm law application in basic physics practicum. This lamp efficiency test prototype uses an LDR sensor device and a resistor connected to the Arduino microcontroller as a light intensity detector, while the variation of electrical power is used by an AC variac with the lamp distance to the sensor having a constant value. The experimental results showed that the efficiency of the lamp can be obtained through a gradient of the luminosity curve on electric power. The efficiency of the lamp is 16.935 lm/watt and the average resistance can be obtained on 983.01 which the intensity in lux is 337,05 lux on 157,68 Lm and the maximum intensity in lux can be obtained on 453,35 lux on 208,54 Lm.
MOTIF DETECTION IN INDONESIAN HAND-WOVEN FABRICS USING MATLAB Agung Haryanto; Endah Purnomosari; Wiwiek Eka Mulyani; Fadil Abdullah; Valentinus Galih Vidia Putra; Adi Kusrianto
INKOFAR Vol. 9 No. 1 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The cultural significance of Indonesian woven fabrics intricately patterned by hand is dampened by slow, expensive automatic motif recognition processes. This research aimed to build a system that automatically detects and identifies motifs in textiles using image processing in MATLAB. The steps included collecting and preprocessing images, constructing a dataset, performing image comparison and similarity measurements, and color analysis. A dataset containing images of woven fabrics from different regions of Indonesia was created which included region-specific motifs. Images were enhanced through preprocessing and motif features were extracted through preprocessing. Determining the degree of correlation enabled features to be compared with the dataset, while color analysis tailored color characterization to specific motifs. The algorithm was able to detect motifs accurately using dataset references. The resemblance of motifs was greatly enhanced using color analysis. The approach is efficient and reliable for technology-aided culture preservation compared with manual methods. The analysis confirmed advanced MATLAB automation systems broadened opportunities in motif recognition within traditional textiles beyond automated processes, emphasizing the need for a detailed exploration of textile research projects
A MATHEMATICAL MODEL OF GPS SATELLITE TIME AND FREQUENCY BASED ON THE SPECIAL THEORY OF RELATIVITY Endah Purnomosari; Siska Astari Dewi; Wiwiek Eka Mulyani; Valentinus Galih Vidia Putra; Fadil Abdullah
INKOFAR Vol. 9 No. 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Global Positioning System (GPS) relies on highly precise atomic clocks in satellites and ground stations to determine global time and position accurately. Relativistic effects, including gravitational fields and satellite orbital motion, induce frequency shifts in these clocks, necessitating corrections for accurate navigation. This study developed a novel approach to integrate general coordinates into GPS, emphasizing implementation simplicity. We investigated the application of special relativity to calculate time and frequency shifts in GPS satellites. Our analysis estimated a daily relativistic correction of approximately 21.6 microseconds, with a positional imprecision of 6.48 km per day if uncorrected. By employing a general time-space coordinate system, we calculated position4 and velocity-4 vectors, accounting for special relativistic effects on GPS time and frequency. The proposed method simplifies relativistic corrections while enhancing their conceptual clarity. Results demonstrate improved precision and efficiency in GPS positioning through the integration of general coordinates with a streamlined approach. This research offers valuable insights for international engineering communities, scholars, and practitioners, advancing the understanding of relativity’s impact on GPS satellite operations.
RETTASI SERAT ALAM DARI DAUN TUMBUHAN SANSEVIERIA TRIFASCIATA DENGAN MENGGUNAKAN ENZIM Muhammad Indra Permana; Ria Wanti; Endah Purnomosari; Rivani Setiawati
Texere Online First
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v24i2.06

Abstract

The increasing global oil prices, declining petroleum reserves, and escalating environmental issues have reignited interest in the exploration of natural fibers and the development of sustainable and renewable technologies. Sansevieria trifasciata is a widely available plant in Indonesia, known for its relatively high cellulose content. However, no prior studies have investigated the retting of Sansevieria trifasciata fibers using enzymatic methods. This study aims to characterize the fibers obtained through retting with the aid of xylanase enzyme. In this research, Sansevieria trifasciata leaves were subjected ti enzymatic retting using xylanase. For comparison, a conventional water retting method was also employed as a control. The resulting fibers were evaluated based on their morphological characteristics, fiber length, fineness, tensile strength, moisture regain, and functional groups, the latter analyzed using FTIR. The enzymatic retting process required 14 days to complete, whereas the water retting method took 17 days. The fiber yield was 1.58% of the initial leaf mass. The fibers exhibited an almost round oval cross-section and a cylindrical longitudinal profile. The average fiber length was 50.11 cm, with a fineness of 4.78 tex, tensile strength of 3.16 g/den, and a moisture content of 9.73%. The FTIR analysis revealed the presence of Si–O related groups at approximately 1050 and 600 cm-1, indicating the presence of a silica structure in the sample, while the absorption band at approximately 2350 cm-1 can be attributed to CO2 molecules. In conclusion, enzymatic retting using xylanase was found to be more efficient than the traditional water retting method. The results suggest that Sansevieria trifasciata leaves have significant potential as an alternative source of natural fiber for use in textile yarn production.
RETTASI SERAT ALAM DARI DAUN TUMBUHAN SANSEVIERIA TRIFASCIATA DENGAN MENGGUNAKAN ENZIM Muhammad Indra Permana; Ria Wanti; Endah Purnomosari; Rivani Setiawati
Texere Vol 24, No 2 (2026): Texere Volume 24 Nomor 2 Tahun 2026
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v24i2.06

Abstract

Meningkatnya harga minyak dunia, berkurangnya cadangan minyak, dan permasalahan lingkungan memicu kembali pengeksplorasian serat alam serta penggunaan teknologi berkelanjutan dan terbarukan. Sansevieria trifasciata merupakan salah satu tumbuhan yang cukup melimpah di Indonesia yang memiliki kandungan selulosa yang cukup tinggi. Belum ada penelitian yang melakukan proses retting serat Sansevieria trifasciata dengan bantuan enzim. Penelitian ini bertujuan untuk mengkarakterisasi serat hasil retting menggunakan enzim xilanase. Pada penelitian ini dilakukan retting serat dari daun tumbuhan Sansevieria trifasciata dengan bantuan enzim xilanase. Selain itu dilakukan juga rettasi serat Sansevieria trifasciata dengan metoda water retting sebagai kontrol. Pengujian serat yang dihasilkan meliputi pengujian morfologi serat, panjang serat, kehalusan serat, kekuatan serat, moisture regain, dan pengujian dengan alat FTIR untuk mengetahui gugus fungsi yang terdapat pada serat Sansevieria trifasciata. Proses retting serat Sansevieria trifasciata dengan bantuan enzim membutuhkan waktu selama 14 hari sementara dengan metoda water retting membutuhkan waktu selama 17 hari. Serat yang dihasilkan sebesar 1,58% dari daun yang diproses. Penampang melintang serat berbentuk oval hampir bulat sementara penampang membujurnya berbentuk silinder. Rata-rata panjang serat 50,11 cm, kehalusan serat 4,78 tex, kekuatan serat 3,16 g/den, moisture content 9,73%. Hasil pengujian FTIR menunjukan adanya gugus yang berkaitan dengan Si–O pada daerah sekitar 1050 dan 600 cm-1, yang mengindikasikan keberadaan struktur silika dalam sampel, serta pita serapan sekitar 2350 cm-1 dapat dikaitkan dengan molekul CO2. Disimpulkan bahwa proses retting serat Sansevieria trifasciata dengan bantuan enzim lebih efisien dibandingkan dengan metoda water retting. Daun tumbuhan Sansevieria trifasciata berpotensi menjadi sumber alternatif serat alam yang dapat dimanfaatkan untuk bahan baku benang tekstil.
Co-Authors Adi Kusrianto Agung Haryanto Fadil Abdullah Irwan Irwan Mohamad, Juliany Ningsih Muhammad Indra Permana Ngadiono Ngadiono Ngadiyono Ngadiyono Ria Wanti Rivani Setiawati Siska Astari Dewi Valentinus Galih Vidia Putra Wijayono, Andrian Wiwiek Eka Mulyani