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All Journal Science and Technology Indonesia Communications in Science and Technology Jurnal Teknologi dan Komputer Jurnal Riset Fisika Indonesia Abdi Jurnal Publikasi APPA : Jurnal Pengabdian Kepada Masyarakat Jurnal Stasiun Geofisika Sleman (JSGS) Jurnal Sains Materi Indonesia Jurnal Ilmu Komputer
Mardiyanto
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Physics Social Sciences Other

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APPLICATION OF RIETVELD ANALYSIS TO THE MULTIPHASE CRYSTAL STRUCTURE Bi1/2K1/2TiO3 USING MOLTEN SALT SYNTHESIS S. Ahda; A. Taufiq; Mardiyanto; A. Mahyudin; E. Sukirman
Jurnal Sains Materi Indonesia Vol. 23 No. 2 (2022)
Publisher : BRIN Publishing (Penerbit BRIN)

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Abstract

APPLICATION OF RIETVELD ANALYSIS TO THE MULTIPHASE CRYSTAL STRUCTURE Bi1/2K1/2TiO3 USING MOLTEN SALT SYNTHESIS. Recently, an interesting application development of piezoelectric materials is as part of the tool for in-situ testing of nuclear fuel and the supporting materials in nuclear reactor, as well as sensors for safety systems in the reactor environment itself. One of the piezoelectric materials (lead free) is bismuth potassium titanate Bi1/2K1/2TiO3 (BKT) which is used in this research and has been successfully synthesized using the molten salt method. This method is a simple process that reacts to the base material in a solution of NaCl and KCl salts to produce nanocrystal ceramics powder with good compositional homogeneity and sinterability. The synthesis process has been carried out in two stages, first to produce Bi2Ti4O11 and then to add excess K2CO3 as a base material to produce BKT. The weight ratio between Bi2Ti4O11 and excess K2CO3 was 1:1.5 and 1:2. Structural identification of the synthesized results has been done by Rietveld analysis of the XRD pattern using PAN-Analytical Highscore software. The multiphase of BKT has been obtained by a predominantly tetragonal crystal system, in addition to cubic as second phase. This is indicated by the content of the tetragonal and cubic phases obtained at 64.5 and 36.5% for the ratio 1:1.5 and 80.3 % and 19.7 % for the ratio 1:2, respectively.The addition of excess K2CO3 increases, the content of the tetragonal BKT phase increases. . Besides that, the “a” lattice parameter increases and the “b” lattice parameter decreases, if the K2CO3 content is added. Likewise, the size of the crystallite and microstrain decreases with the in excess K2CO3.
Simulation of Ag and Pd Fission Product Implantation in SiC layer of TRISO Fuel Particle of HTGR using SRIM/TRIM Monte Carlo Computer Mardiyanto; N. Shabrina; A. K. Riva
Jurnal Sains Materi Indonesia Vol. 23 No. 2 (2022)
Publisher : BRIN Publishing (Penerbit BRIN)

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Ag AND Pd FISSION PRODUCT IMPLANTATION ON SiC LAYER IN TRISO FUEL PARTICLE OF HTGR USING SRIM/TRIM MONTE CARLO COMPUTER. Silicon Carbide (SiC) has excellent characteristics such as wide band gap, high electron mobility, high thermal conductivity, and radiation effects resistance. Therefore, SiC is widely used for various applications, including nuclear fuel systems. SiC is used in TRISO (Tri-Structural Isotropic) coated fuel particle in HTGR (High Temperature Gas cooled Reactor). TRISO, which consists of Inner Pyrolitic Carbon, SiC, and Outer Pyrolitic Carbon, is one of the safety systems features of the reactor. However, one of the issues of the system is corrosion of SiC caused by silver (Ag) and palladium (Pd). Nevertheless, the detailed mechanism of this corrosion phenomenon, such as the existence of Ag and Pd and how deep those two fission products penetrate the SiC layer, are still unknown. This study aims to investigate the physical interaction of Ag and Pd with the SiC coating layer of TRISO nuclear fuel particles. For this purpose, the physical effect of the penetration of the energetic Pd and Ag fission products into the SiC layer has been simulated using SRIM (Stopping and Range of Ions in Matter) /TRIM (TRansport of Ions in Matter) computer code with Monte Carlo method. Various Ag and Pd ion kinetic energies have been employed in this simulation. The results showed the Ag/SiC and Pd/SiC Ion Ranges, Doses, and Damage as the first-step evaluation to understand the corrosion phenomenon of the SiC-layer in the TRISO particles of HTGR.
Edukasi IOT Untuk Meningkatkan Kemampuan Pengembang Software dan Hardware Secara Fundamental pada MTs Mathlaul Anwar Pamulang Makhsun; Mardiyanto; Komara, Aditya; Ramadhan, Hanif; Yusuf, Mochamad; Zaid, Ahmad; Hellena, Rosyaida Saara; Triwibowo, Panggih; Windriyani, Eka
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 4 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

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Abstract

−Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan literasi teknologi dan kemampuan dasar Internet of Things (IoT) pada siswa Madrasah Tsanawiyah (MTs) Mathlaul Anwar Pamulang. Rendahnya pemahaman siswa terhadap konsep elektronika dasar dan logika pemrograman menjadi permasalahan utama yang perlu segera ditangani, mengingat IoT merupakan kompetensi penting dalam menghadapi tantangan Revolusi Industri 4.0. Kegiatan ini dirancang dalam bentuk workshop edukatif berbasis praktik (project-based learning) menggunakan perangkat ESP32, sensor cahaya (LDR), dan lampu LED sebagai media simulasi sistem input-output. Metode pelaksanaan meliputi sosialisasi, penyampaian teori dasar elektronika, pelatihan pemrograman dasar menggunakan logika if–else, serta pendampingan pembuatan proyek mini berupa sistem lampu otomatis berbasis intensitas cahaya. Evaluasi kegiatan dilakukan melalui pre-test dan post-test untuk mengukur peningkatan pemahaman siswa, observasi praktik rangkaian IoT, serta kuesioner untuk mengetahui respon peserta. Hasil kegiatan menunjukkan peningkatan kemampuan siswa dalam memahami konsep digital input-output dan analog input-output, serta meningkatnya minat siswa terhadap teknologi IoT. Program ini diharapkan dapat menjadi model pembelajaran praktis yang dapat direplikasi guru di sekolah serta mendukung penguatan kompetensi teknologi sejak dini.
Cogon Grass Mesoporous Silica Nanoparticles Loaded with Uncaria gambir Extract and Photosensitizer for Photothermal Induced Anti-MRSA Activity: Formula Optimization and In Silico Exploration Mardiyanto; Sabrina, Tia; Alhafizh, M. Faris; Kota, Natacha Brigida; Ramadhona, Sheza Inayah; Valenia, Novella; Amrullah, M. Ammar; Zulda, Daghfal Rafataqwa; Marrisca, R.D. Nindi; Alisyahbana, Sutan Satya; Fadilah, Ade; Pratiwi, Aisyah; Fithri, Najma Annuria
Science and Technology Indonesia Vol. 11 No. 1 (2026): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.1.311-322

Abstract

In recent years antimicrobial resistance (AMR) has grown to become a massive concern for the global community due to their lack of successful prevention and low recovery rates. One of methods with high efficiency in reducing AMR is photodynamic and photothermal therapy (PDPT), due to their independency from chemical mechanism of antimicrobial efficacy. Mesoporous silica nanoparticle (MSN) is an excellent carrier for potential alternative for AMR including photosensitizers and natural based active ingredients. Herein, we explored the use of various sources as silica precursors as well as optimization based on method of fabrication and coating agent to stabilize and load the active ingredients. We additionally incorporated Uncaria gambir extract and phycocyanin to increase MSN antimicrobial effect and photosensitizing ability. Cogon grass-based MSN (CG-MSN) has yet to be explored extensively and in this research, we compared their characteristics to a more established precursors such as tetraethyl orthosilicate (TEOS) and sodium silicate. Based on the results obtained, cogon grass-based precursors produced the highest yield, with entrapment efficiency of Uncaria gambir and phycocyanin as high as 98%. Furthermore, CG-MSN produced one of the highest photothermal increase and adsorption rate comparable to that of TEOS. From in silico exploration Uncaria gambir contained Gambiriin and Roxburghin as two of the most active phytoconstituents that influenced its antimicrobial activity. Based on this research we were able to synthesize a new precursor of silica from natural based product, cogon grass, and incorporate it as carrier for phytocompounds in the management of AMR.
Penentuan Tingkat Resiko Gempabumi Berdasarkan Peak Ground Acceleration (PGA) di Daerah Istimewa Yogyakarta Octavia, Yoanda; Kusmita, Tri; Mardiyanto
Jurnal Riset Fisika Indonesia Vol 5 No 1 (2024): Desember 2024
Publisher : Jurusan Fisika, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jrfi.v5i1.3805

Abstract

Special Region of Yogyakarta is an areas with highest probability of earthquakes. This is caused by the movement of the Indo-Australian plate in the southern Java and the movement of local faults spread across in other area. Therefore, the Special Region of Yogyakarta is interesting to study. This study aims to determine intensity and Peak Ground Acceleration (PGA) value and then describe the potetntial impact due to future earthquakes.. Earthquake data was obtained from a database catalog of earthquake events recorded at the BMKG Geophysics Station Class I Sleman at years 2005-2015. The method used to determine the PGA is Gutenberg-Richter. The results in this study, PGA was applied by Gutenberg-Richter (PGA) value with the Gutenberg-Ritchter method has a value highest 147 gal (VII-IX MMI). The area with the potetntial impact due to future earthquake is Bantul regency.
Komparasi Kinerja Sistem Rekomendasi Destinasi Wisata Menggunakan Content Based Filtering Dan Retrieval Augmented Generation (RAG) Awaludin, Rachmat Aziz; Waskita , Arya Adyhaksa; Mardiyanto
Jurnal Ilmu Komputer Vol 4 No 1 (2026): Jurnal Ilmu Komputer (Edisi Januari 2026)
Publisher : Universitas Pamulang

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Abstract

Advances in artificial intelligence have driven the development of recommendation systems in the tourism sector, which is characterized by diverse destinations. This condition often makes it difficult for tourists to select destinations that match their preferences. Based on literature studies, Content-Based Filtering (CBF) is widely used due to its efficiency; however, it has limitations in understanding contextual information. In contrast, the Retrieval Augmented Generation (RAG) approach has been developed to improve recommendation quality through semantic understanding. This study aims to compare the performance of CBF and RAG in tourism destination recommendation systems. CBF employs TF-IDF and cosine similarity to measure content similarity, while RAG integrates retrieval and generation processes using the LLaMA 3.2 model and the FAISS vector database. The research methodology includes data collection, text preprocessing, system implementation, and evaluation using context recall, faithfulness, answer relevancy, and similarity metrics. The results indicate that CBF achieved a context recall of 0.317, faithfulness of 1.000, answer relevancy of 0.190, and similarity of 0.293, demonstrating high accuracy with respect to source data but limited contextual understanding. Meanwhile, RAG achieved a context recall of 1.000, faithfulness of 0.783, answer relevancy of 0.617, and similarity of 0.715, indicating superior performance in generating relevant recommendations. In conclusion, RAG outperforms CBF in contextual and semantic aspects, while CBF remains more efficient in processing explicit data. This study is expected to serve as a reference for developing more adaptive and personalized tourism recommendation systems
Implementasi Yolov5 Deteksi Mata Lelah Berbasis Android Suri, Ajeng Permata; Waskita , Arya Adyhaksa; Mardiyanto
Jurnal Ilmu Komputer Vol 4 No 1 (2026): Jurnal Ilmu Komputer (Edisi Januari 2026)
Publisher : Universitas Pamulang

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Abstract

Excessive screen exposure can trigger digital eye strain, reducing visual comfort, attention, and overall productivity. Prior studies in computer vision indicate that deep learning–based object detection, particularly the YOLO family, can recognize facial and eye-related visual patterns efficiently, making it suitable for early-warning systems on mobile devices. This study aims to implement YOLOv5 to detect signs of eye fatigue in real time using the front camera of an Android smartphone. The novelty of this work lies in deploying a lightweight object-detection model on-device through TensorFlow Lite and integrating an automatic notification mechanism as a preventive intervention. The proposed methodology includes collecting and labeling an eye-image dataset into two classes (awake and drowsy), training a YOLOv5 model in Google Colab, optimizing and converting the trained model to TensorFlow Lite, and integrating it into an Android application for live-camera inference. System performance is evaluated using accuracy, precision, recall, and inference speed (FPS). Experimental results show that the system achieves 95.6% accuracy, 94.3% precision, 96.1% recall, and an Average speed of 22 FPS, enabling responsive detection and timely notifications. In conclusion, the Android-based YOLOv5 implementation is feasible as a preventive solution to help users monitor eye-fatigue symptoms and encourage healthier screen-use habits.
Co-Authors A. K. Riva A. Mahyudin A. Taufiq Aisyah Pratiwi, Aisyah Aldes Lesbani Alhafiz, Muhammad Faris Alhafizh, M. Faris Alisyahbana, Sutan Satya Amelia, Tri Amrullah, M. Ammar Annisa, Novilia Megi Arum Setiawan Awaludin, Rachmat Aziz Baco, Syarifudddin Badri, Arini Fousty Bambang Sunardi, Bambang E. Sukirman Elfita Fadilah, Ade Fitrya . Hary Widjajanti Hellena, Rosyaida Saara Kalyana Mita, Ailing Komara, Aditya Kota, Natacha Brigida Kurniawan, Gilang Maharani, Nabila Puan Makhsun Marrisca, R.D. Nindi Martani, Ahmad Mochamad Yusuf Alsagaff N. Shabrina Najma Annuria Fithri, Najma Annuria Nilovar Asyiah Octavia, Yoanda Oktiansyah, Rian Prayoedhie, Setyoajie Rahmah, Asfaraeni Ramadhan, Hanif Ramadhona, Sheza Inayah Risfidian Mohadi S. Ahda Sabrina, Tia Satrio, Fakhri D. Shaum Shiyan Sudarno Wiharjo Suri, Ajeng Permata Syarifuddin Baco Tarmizi Taher Tri Kusmita Triwibowo, Panggih Valenia, Novella Waskita , Arya Adyhaksa Windriyani, Eka Zaid, Ahmad Zulda, Daghfal Rafataqwa