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All Journal BERKALA FISIKA Techno.Com: Jurnal Teknologi Informasi Jurnal Fisika Unand Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Journal of Multiscale Materials Informatics
Dian Arif Rachman
Program Studi Magister Ilmu Fisika, Universitas Diponegoro Semarang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Public Health

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Kajian Efisiensi dan Karakterisasi Produksi Ozon dengan Lucutan Plasma Berpenghalang Dielektrik (DBDP) untuk Pengendalian Jamur dalam Beras Rachman, Dian Arif; Nur, Muhammad; Kusdiyantini, Endang
BERKALA FISIKA 2014: Berkala Fisika Vol. 17 No. 1 Tahun 2014
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (98.163 KB)

Abstract

A research about the influence of ozone on fungi  which living on rice type mentik that used natrium agar (TPC methode) media has done.  The research was done at normal temperature and the outside air pressure with free air as a source of ozone. The ozone concentration of 2.91 up to 3.19 ppm was radiated on 7 differnet samples of rice, each sample 50 gram used ozonized  time variation 0 minutes, 30 minutes, 60 minutes, 90 minutes, 120 minutes, 150 minutes and 180 minutes. It was obtained results the number of fungi that died of 97,3 % after ozone irradiated for 30 minutes and 99,2% after 60 minutes. Total number of fungi which has dead during 150 minutes as much 99,9 %. Characterization of ozone conducted using ozone reactor (Dielectric Barrier Discharge Plasma). variation in the voltage and the rate of air flow was performed to obtain the optimum concentration of ozone. Voltage variation started from 6 kV, 6 kV, 8 kV and 6 kV whereas variation of oxygen flow rate of 0.5 L/min, 1 L/min, 2 L/min and 3 L/minute. The results obtained with the same tendency which is that at the same voltage, the higher the air flow rate and declining concentrations of ozone. On the study for flow rate of 0.5 L/min the ozone concentrations was obtained 4.6 up to 6.8 ppm. While for flow rate of 3 L/minute ozone concentrations was obtained 2.9 up to  4.8 ppm. Keywords: fungi, natrium agar, irradiate, reactor
Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds Rachman, Dian Arif; Akrom, Muhamad
Journal of Multiscale Materials Informatics Vol. 1 No. 1 (2024): April
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v1i1.10502

Abstract

Empirical studies of possible compound corrosion inhibitors require a lot of money, time, and resources. Therefore, we used a machine learning (ML) paradigm based on quantitative structure-property relationship (QSPR) models to evaluate ensemble algorithms as predictors of corrosion inhibition efficiency (CIE) values. Our investigation reveals that the gradient boosting (GB) regressor model outperforms other ensemble-based models. This advantage is evaluated objectively using the metrics root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). In summary, our research provides a new perspective on how well machine learning algorithms in particular ensembles work to identify organic molecules such as pyridazine that have the potential to prevent corrosion on the surfaces of metals such as iron and its alloys.
Sosialisasi Implementasi Sistem Smart Home Berbasis Internet of Things Untuk Siswa MA Salafiyah Simbangkulon Yuniarto, Abdul Hakim Prima; Lestiyanti, Yuni; Rachman, Dian Arif; Feriawan, Feriawan; Nofillah, Recha
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 1 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i1.4466

Abstract

Dewasa ini masyarakat masih belum sadar pentingnya penghematan energi listrik. Contohnya seperti pada gedung sekolahan MA Salafiyah Simbangkulon dimana siswa sering kali lupa untuk mematikan lampu atau kipas angin pada ruang kelas setelah digunakan, sehingga energi listrik terbuang percuma dan meningkatkan tagihan listrik bulanan. Pada saat ini solusi untuk menyelesaikan masalah tersebut yaitu dengan cara petugas jaga harus berkeliling gedung dan mengecek setiap ruang kelas, hal ini sangatlah tidak efisien dan praktis. Oleh karena itu dibutuhkan teknologi Smart Home yang mampu untuk memantau dan mengontrol peralatan elektronik di ruang kelas dari mana pun dan kapan pun. Smart Home menggunakan konsep Internet of Things yang mampu menjadikan sebuah perangkat elektronik dapat tersingkronisasi dengan modul melalui internet. Sosialisasi implementasi internet of things pada kehidupan sehari-hari dilakukan secara offline dengan 27 peserta. Sosialisasi dilaksanakan dengan metode ceramah dan diskusi, serta demo alat. Hasil rekapitulasi respon peserta pelatihan terhadap pelaksanaan kegiatan yang terdiri atas 5 butir penilaian menunjukkan bahwa mayoritas peserta memilih sangat setuju dan setuju Berdasarkan hasil tersebut menunjukkan bahwa peserta sangat antusias terhadap kegiatan pengadian masyarakat ini dan materi yang dibawakan sudah tersampaikan dengan baik kepada para peserta.
Desain Sistem Smart Feeder Ayam Berbasis Internet of Things (IoT) Guna Mencegah Keterlambatan Pemberian Pakan Agustina, Elvinda Bendra; Rachman, Dian Arif; Nofillah, Recha; Fitri, Lia Ikhlasia
Jurnal Fisika Unand Vol 13 No 2 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.2.297-302.2024

Abstract

Pemberian pakan ayam secara manual menjadikan pemberian pakan ayam kurang efektif dan efisien. Pengembangan sistem pemberi pakan ayam cerdas berbasis Internet ofThings (IoT) telah dilakukan. Penelitian ini bertujuan untuk mengembangkan desain sistem smart feeder ayam berbasis IoT guna mencegah keterlambatan pemberian pakan. Memungkinkan alat bekerja dengan melakukan kontrol feeder berdasarkan pengaturan waktu, monitoring hopper secara otomatis yang diintegrasikan dengan IoT. Setiap device dihubungkan dengan internet sehingga dapat dipantau dari jarak jauh. Metode yang digunakan adalah perancangan dan telah dilakukan uji dan pengambilan data. Hasil uji aplikasi Blynk menunjukkan ketepatan pengaturan yang telah diberikan dengan kondisi real. Fungsi sistem alat sudah sesuai dengan desain sistem yang direncanakan. Rata-rata persentase error yang terjadi 14% secara keseluruhan tetapi mengecil sampai rata-rata 3% pada berat pakan diatas 5 kg dikarenakan semakin besar volume hopper maka jarak antara sensor ke pakan semakin dekat sehingga nilai error semakin rendah. Pengujian NTP menunjukkan nilai akurasi dan kepresisian 100%. Uji kecepatan rotasi menunjukkan rata-rata kecepatan rotasi hopper yaitu 445,4 rpm sehingga hopper berotasi sesuai dengan perkiraan. Uji volume distribusi pakan sudah sesuai karna pakan 1 diletakkan paling dekat dengan hopper sehingga volume pakan akan terisi paling banyak di bandingkan dengan tempat pakan lainnya
Variational Quantum Circuits Design Principles, Applications, and Challenges Toward Practical: A Review Akrom, Muhamad; Rachman, Dian Arif
Journal of Multiscale Materials Informatics Vol. 2 No. 2 (2025): Oktober (in progress)
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v2i2.14935

Abstract

Variational Quantum Circuits (VQCs) have emerged as a cornerstone of hybrid quantum–classical algorithms designed to harness the computational potential of near-term quantum devices. By combining parameterized quantum gates with classical optimization, VQCs provide a flexible framework for tackling machine learning, chemistry, and optimization problems intractable for classical methods. This review comprehensively overviews VQC design principles, ansatz structures, optimization strategies, and real-world applications. Furthermore, we discuss fundamental challenges such as barren plateaus, the expressibility–trainability trade-off, and current noisy intermediate-scale quantum (NISQ) hardware limitations. Finally, we highlight emerging directions that could enable scalable, noise-resilient, and physically interpretable variational quantum models for future quantum computing applications
Detection and Analysis of Batik Waste Using Image Processing Methods in Pekalongan Regency Tachriri, Yusril Ihza; Agustina, Elvinda Bendra; Rachman, Dian Arif; Sari, Atika Windra; Karimah, Imroatul; Artamevira, Jessika
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14849

Abstract

Research was conducted on the detection of batik wastewater in the batik industry of Pekalongan, which generates liquid waste containing synthetic dyes, heavy metals, and hazardous compounds that can potentially pollute the environment if not properly treated. This study aims to develop a simple detection method based on digital image analysis to identify the color characteristics of batik wastewater. Data were obtained by sampling liquid waste from several affected rivers, which were then analyzed using a digital camera and image processing software to determine the intensity values of the red, green, and blue (RGB) channels. The results show that variations in waste concentration significantly influence the distribution of RGB values, enabling faster, cheaper, and more practical identification of pollution patterns compared to conventional laboratory methods. These findings are expected to serve as the foundation for developing a digital technology-based batik wastewater quality monitoring system as part of efforts to mitigate environmental pollution in Pekalongan.   Keywords - Batik wastewater, Digital image analysis, RGB intensity, Environmental pollution, Image processing
Co-Authors Abdul Hakim Prima Yuniarto Agustina, Elvinda Bendra Akrom, Muhamad Artamevira, Jessika Elvinda Bendra Agustina Endang Kusdiyantini Feriawan, Feriawan Fitri, Lia Ikhlasia Karimah, Imroatul Lestiyanti, Yuni Muhammad Nur Nofillah, Recha Sari, Atika Windra Tachriri, Yusril Ihza