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All Journal Jurnal Fisika Physics Communication Peduli: Indonesian Journal of Community Empowerment
Celfien Septian Widya Pratama
Universitas Negeri Semarang
Education Physics

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PID Based Artificial Neural Network For Rotary Dryer In The Fertilizer Industry Vio Gustian Nur Alamsyah; Celfien Septian Widya Pratama; Dicko Alryadi Samudra
Jurnal Fisika Vol. 15 No. 1 (2025): Jurnal Fisika 15 (1) 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v15i1.20968

Abstract

Rotary dryers are often used to dry materials in fertilizer industry. The drying process using a rotary dryer may occasionally encounter issues, such as an uneven distribution of hot air and overheating, which can be caused by operator input errors or control parameter adjustments that are not optimal. The conventional proportional-integral-derivative (PID) controller is a common method for regulating temperature in rotary dryers. However, it is not particularly effective in dealing with changes that occur in real time, which can result in extending the system’s transient period before equilibrium and overshoot for temperature output in rotary dryers. One potential solution that can be offered is to integrate PID control with an Artificial Neural Network (ANN) which would enable the system to adapt to the dynamics of the operational environment without operator assistance. The methodology used is backpropagation neural networks, trained with empirical data gathered during the operation of a rotary dryer. The output from the ANN model is then used to adjust the PID controller within the system in order to prevent extending the system’s transient period before equilibrium and overshoot. Backpropagation is used because this algorithm can effectively reduce errors when recognizing data patterns. The control design aims to improve the efficiency of the drying process, optimizing it, and reducing costs associated with production
Quantum Spectral Algorithms for Khovanov Cohomology via Laplacian Formalism and Frobenius Cobordisms Listiyanto; Celfien Septian Widya Pratama; Siti Wahyuni
Physics Communication Vol. 9 No. 2 (2025): August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v9i2.30159

Abstract

We present a comprehensive quantum algorithm for computing Khovanov cohomology, a categorification of the Jones polynomial, together with a clear narrative that connects its motivation, construction, and implementation. By simulating Laplacian operators derived from the Khovanov cochain complex, we estimate cohomological dimensions using quantum phase estimation, thermal sampling, and Quantum Singular Value Transformation (QSVT). The framework explicitly exploits the Frobenius algebra structure and cobordism maps, showing how these topological tools translate naturally into unitary quantum operations. Worked examples for the trefoil knot and Hopf link illustrate each step, from encoding the cube of resolutions to constructing differentials and Laplacians. This narrative approach not only refines and operationalizes the Laplacian method introduced by previous works but also provides a practical roadmap for extending categorified invariants into the realm of quantum algorithms suitable for near-term devices.
Implementasi Program Destana sebagai Upaya Mitigasi Bencana Tanah Longsor di Desa Ngajaran, Kecamatan Tuntang Celfien Septian Widya Pratama; Yadi Suryadi; Sabar Triyono
Peduli: Indonesian Journal of Community Empowerment Vol. 2 No. 1 (2026): March 2026
Publisher : Universitas Negeri Semarang

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

Abstract

Desa Ngajaran yang terletak di wilayah perbukitan memiliki kerentanan tinggi terhadap bencana tanah longsor, namun sebelumnya belum pernah melaksanakan program Desa Tangguh Bencana (Destana). Melalui kegiatan Kuliah Kerja Nyata (KKN), mahasiswa melaksanakan serangkaian program Destana yang meliputi: (1) Penilaian Ketangguhan Desa (PKD) awal dan akhir, (2) kajian risiko bencana, (3) penyusunan rencana penanggulangan bencana, (4) perancangan jalur evakuasi, (5) pendataan sistem peringatan dini, (6) pembentukan Forum Pengurangan Risiko Bencana (FPRB), (7) pembentukan relawan desa, serta (8) penyusunan rencana kontingensi. Metode pelaksanaan dilakukan secara partisipatif dengan melibatkan pemerintah desa, tokoh masyarakat, dan warga setempat.  Hasil kegiatan menunjukkan peningkatan nilai PKD dari 43,79 menjadi 52,59, meskipun masih dalam kategori Tangguh Pratama. Capaian utama berupa peta risiko bencana, peta jalur evakuasi di Dusun Gintungan, dokumen rencana penanggulangan bencana, sistem peringatan dini berbasis tradisional, pembentukan FPRB, relawan desa, dan dokumen kontingensi. Program ini tidak hanya meningkatkan kesadaran masyarakat mengenai potensi bencana, tetapi juga memperkuat kapasitas lokal dalam mitigasi dan kesiapsiagaan menghadapi tanah longsor. Dengan demikian, program Destana melalui KKN di Desa Ngajaran terbukti efektif dalam membangun fondasi ketangguhan desa terhadap bencana. Keberhasilan ini dapat dijadikan model replikasi bagi desa lain dengan karakteristik geografis serupa, sebagai langkah nyata mendukung terwujudnya masyarakat tangguh bencana.
Co-Authors Dicko Alryadi Samudra Listiyanto Sabar Triyono Vio Gustian Nur Alamsyah Yadi Suryadi