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All Journal Current Biochemistry Indonesia Chimica Acta ANNALES BOGORIENSES Astonjadro Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Review Pendidikan dan Pengajaran (JRPP) EDUTEC : Journal of Education And Technology Jurnal Ilmiah Al-Mu'ashirah: Media Kajian Al-Qur'an dan Al-Hadits Multi Perspektif Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Paedagogy JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) Mattawang: Jurnal Pengabdian Masyarakat el-Buhuth: Borneo Journal of Islamic Studies Digital Transformation Technology (Digitech) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia CSRID Annales Bogorienses
Arwansyah Arwansyah
Department Of Chemistry Education, Faculty Of Teacher Training And Education, Tadulako University, Palu, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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Molecular Docking and Molecular Dynamics Study of Alcoholic Compounds as Mycobactericidal Agents Using InhA, MabA and PanK as Receptors Syahputra, Gita; Arwansyah, Arwansyah; Kusharyoto, Wien
ANNALES BOGORIENSES Vol 22, No 2 (2018): Annales Bogorienses
Publisher : Research Center for Biotechnology - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/ann.bogor.2018.v22.n2.101-115

Abstract

     Tuberculosis (TB) infection is one of the primaryinfectious diseases in many developing countries; even there are minor cases in some developed countries. TB infection spread through the air and ismore probable when using improper disinfectant on medical and laboratory equipment which related to TB research. The appropriate disinfectants which are commonly usedin laboratory equipment can reduce the risk of transmission of TB disease. Alcoholic compoundsare one of the common disinfectants with a broad spectrum activity towardsmicrobes,viruses, and fungus. We employed molecular docking and molecular dynamics simulation to support virtual screening and ligand-receptor complex binding observation in searching for an appropriate mycobactericidal agent.Based on the analysis of molecular docking and molecular dynamics, pentadecanol has potency as a mycobactericidal agent with PanK as itsspecific receptor. The Gibbs free energy (∆G) for the interaction of pentadecanol with PanKhas been found to be -5.5 kcal/mol. Molecular dynamics analysis at 300K and 1 atm for 5 ns showed a little change in the confirmation of the binding site, whilepentadecanolwas still being bound by its binding siteon PanK.
Simulasi Docking Senyawa Kurkumin dan Analognya Sebagai Inhibitor Reseptor Androgen pada Kanker Prostat Arwansyah Arwansyah; Laksmi Ambarsari; Tony I Sumaryada
Current Biochemistry Vol. 1 No. 1 (2014)
Publisher : IPB University

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

Abstract

Curcumin, the major compound of Curcuma longa L, has been proven to have the toxicity effect on prostate cancer cell. This research was aimed to study the affinity and interaction of curcumin and its analogs as compettitive inhibitor to androgen hormon before working in vitro/in vivo research. Curcumin and its analogs were transformed into 3D structure, then docked to androgen receptor (3B67). The data of Gibbs energy (?G) value showed stability interaction between ligand and androgen receptor residues. The docking results showed that curcumin and its analogs have potential as inhibitor on androgen receptor. Based on results ?G score, analog 4 (1,7-bis-(3,4-dihydroxy-phenyl)-hepta-1,6-diene-3,5-dione) has highest potential as the inhibitor for androgen receptor.
Pharmacology Analysis of The Active Compound of Makassar Fruit (Brucea Javanica) as Antidiabetic Via Bioinformatics Approach Arwansyah Arwansyah; Vivi Dia A Sangkota; Dewi Satria Ahmar; Magfirah Magfirah; Karina Nadya Sirajuddin; Adwi Restafara; Abdur Rahman Arif
Jurnal Akta Kimia Indonesia (Indonesia Chimica Acta) Volume 15, No 2: December 2022
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ica.v15i2.21043

Abstract

Diabetes is one of the emergency diseases worldwide due to the large case each year. Therefore, searching the potential treatment become crucial to treating the disease. In this research, homology modeling and molecular docking were employed to analyze the active compounds of Makassar fruit (Brucea javanica) as antidiabetic. Alpha glucosidase (AG) is used as a target, and the ligands are javanicin and javanicisode B, both active molecules of Brucea javanica. According to molecular docking results, all ligands have the potential to bind to the receptor because of their negative energy scores. Also, javanicin has higher binding energy (-8.0 kcal/mol) than the control (-5.7 kcal/mol). Furthermore, hydrogen bonds and hydrophobic interactions allow these two active chemicals to attach to an important location on AG. Thus, our finding implied that two active compounds of Brucea Javanica could be inhibitors for the receptor, and javanicin may become a promising drug against diabetes.
Pelatihan Pengembangan Perangkat Pembelajaran Inovatif Dengan Menggunakan Prinsip Understanding by Desigen (UBD) pada Guru-Guru di SDN 1 Tatura Sabang, Sri Mulyani; Arwansyah, Arwansyah; Tahril, Tahril
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 3, No 2 (2024): July 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v3i2.3984

Abstract

Survei di lapangan terkait kompetensi pedagogik guru-guru disekolah mitra masih rendah, hal tersebut terlihat dari kemampuan guru pamong dalam membimbing mahasiswa PLP dan PPL dalam pengembangan perangkat pembelajaran sebagai bentuk persiapan untuk melaksanakan pembelajaran di kelas. Kompetensi yang harus dimiliki oleh guru dalam melaksanakan tugas keprofesionalannya adalah kompetensi yang utuh dan integrative, yang mencakup aspek pengetahuan, keterampilan, dan perilaku. Hal tersebut tertuang dalam pasal 10 Undang-undang guru dan dosen tahun 2005 yang menyebutkan bahwa kompetensi guru meliputi kompetensi pedagogik, kompetensi kepribadian, kompetensi sosial, dan kompetensi profesional. Salah satu kompetensi tersebut adalah kompetensi pedagogik yang berkenaan dengan penguasaan teoritis dan proses aplikasinya dalam pembelajaran yang relevan dengan tuntutan perkembangan abad 21. Berangkat dari akar permasalah tersebut maka kami selaku mitra LPTK merasa terpanggil untuk melaksanakan pengabdian kepada masyarakat dalam bentuk “pelatihan pengembangan perangkat pembelajaran inovatif dengan menggunakan prinsip understanding by desigen kepada guru-guru yang ada di SDN 1 Tatura”, sebagai upaya untuk memberikan pemahaman konsep pembelajaran inovatif, dan meningkatkan kemampuan guru-guru dalam memetakan karakteristik serta tingkat kemampuan peserta didik.
Analisis Dampak 5 (Lima) Provinsi Destinasi Pariwisata Super Prioritas Indonesia Terhadap Produk Domestik Regional Bruto Manalu, Herna Uli; Rahmadana, Fitri; Arwansyah, Arwansyah
Journal of Business and Economics Research (JBE) Vol 6 No 2 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v6i2.7436

Abstract

The purpose of this study is to examine the impact of tourism on Gross Regional Domestic Product (GRDP) in five provinces in Indonesia identified as super-priority destinations: North Sumatra, Central Java, West Nusa Tenggara, East Nusa Tenggara, and North Sulawesi. This study includes three independent variables: number of tourists, number of tourist attractions, and room occupancy rate, which are analyzed partially and simultaneously. This research uses quantitative methods, with secondary data from the Central Bureau of Statistics (BPS) covering the period 2018 to 2023. The analytical approach used was panel data regression with Eviews 12 software, and the Common Effect Model (CEM) was selected based on the results of the Chow, Hausman, and Lagrange multiplier tests. The findings of this study reveal that the three variables have a favorable and substantial impact on tourism sector GRDP. The three factors can collectively explain 65.04% of the variation in GRDP. The findings highlight the importance of increasing the number of tourists, improving tourist attractions, and optimizing accommodation occupancy rates in driving regional economic growth. Consequently, the findings of this study are intended to help local governments develop successful and long-term tourism programs.
Design of the Manakarra Stadium area as an integrated disaster evacuation facility to reduce disaster risk in Mamuju Regency, West Sulawesi Arwansyah, Arwansyah; Chaerul, Muhammad; Gusty, Sri
ASTONJADRO Vol. 14 No. 2 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i2.17726

Abstract

Mamuju Regency, located in West Sulawesi, is a region highly vulnerable to various types of natural disasters, including earthquakes, floods, and landslides. However, following the earthquakes in January and June 2021, the use of Manakarra Stadium as a gathering point for evacuees revealed significant social issues due to the poorly organized placement of facilities. In this context, Manakarra Stadium is being proposed as an integrated disaster evacuation facility, serving not only as a sports venue but also as a center for protection and recovery for the community. This study aims to design Manakarra Stadium as an effective and efficient evacuation facility in the context of disaster risk reduction. Utilizing a data-driven approach and community needs analysis, the proposed design is expected to make a significant contribution to enhancing disaster resilience in the region. The design of this evacuation facility at Manakarra Stadium could serve as a model for both government and community disaster responses in the aftermath of future events.
TRANSFORMASI DIGITAL YAYASAN MELALUI AI DAN CLOUD: STUDI KASUS DI ASHABUL KAHFI PAREPARE Aini, Nurul; Suryani, Suryani; Faizal, Faizal; Heriadi, Herman; Aisa, Sitti; Akhriana, Asmah; Nurdiansah, Nurdiansah; Ahyuna, Ahyuna; Hasmin, Erfan; Arwansyah, Arwansyah; Syamsudddin, Sadly; SY, Hasyrif
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.45597

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi digital pengurus dan pendidik Yayasan Ashabul Kahfi Parepare melalui pelatihan penggunaan Google Drive dan ChatGPT. Metode yang digunakan meliputi pendidikan masyarakat, pelatihan berbasis praktik langsung, serta difusi ipteks. Peserta diberikan penyuluhan mengenai pentingnya transformasi digital, kemudian dilatih dalam pengelolaan dokumen berbasis cloud dan pemanfaatan AI untuk menyusun materi administrasi. Hasil evaluasi pre-test dan post-test menunjukkan peningkatan signifikan pada pemahaman dan keterampilan peserta, yang diperkuat dengan uji t-test (p < 0,001). Selain itu, peserta menunjukkan antusiasme tinggi dan respons positif terhadap materi pelatihan. Kegiatan ini berhasil meningkatkan kapasitas digital yayasan dan memberikan dampak nyata dalam mendukung pengelolaan organisasi yang lebih efisien dan adaptif terhadap perkembangan teknologi.
Development of Flipbook-Based E-Module Teaching Materials to Enhance Independence and Learning Outcomes of High School Students Pardede, Erni Rugun Maria; Ruslan, Dede; Arwansyah, Arwansyah
Jurnal Paedagogy Vol. 12 No. 2 (2025): April
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i2.15101

Abstract

This study aims to develop a flipbook-based e-module as an innovative teaching material to enhance students’ independence and learning outcomes in economics at SMA Kalam Kudus Medan. This research employs the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation and Evaluation) involving 31 tenth-grade students as research subject this research. Data collection was conducted through interviews, questionners, and tests, analysed used descriptive statistics and SPSS statistical tests. The validation results indicate that the developed e-module received scoresof 91.67% (high feasible) form subject matter experts, 86.84% (feasible) form media experts, and 79.46% (feasible) from instructional design experts. These findings suggest that the flipbook-based e-module is effective in improving both students’ learning independence and academic performance. Therefore, this teaching material is recommedence for implementation in learning to support the transformation of digital-based education.
Development of Student Worksheets (LKPD) Based on Problem Based Learning to Improve Learning Outcomes in Business Economics Subjects Sianturi , Monika Karolina; Arwansyah, Arwansyah; Yusuf , Muhammad
EDUTEC : Journal of Education And Technology Vol. 5 No. 1 (2021): September 2021
Publisher : STAI Miftahul Ula Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/edu.v5i1.273

Abstract

The curriculum in Indonesia is currently curriculum 2013, especially on the basic framework and structure of the vocational curriculum that states that the 2013 curriculum was developed with the improvement of mindset, among others: educationthat focuses on teachers so focused on students, as well as passive learning so active learning. Therefore, as a teacher can develop the learning process, especially learning resources that are able to explore the ideas of students into an innovative and critical so that they can produce and solve theirown problems,through problem-based LKPD learning. This method and type of research is a development study with a 4-Dmodelby Thiagarajan and Semmel. The findings in this study are the use of problem-based learning-based LKPD and the response of students who were found to be positive or good
Model Klasifikasi Machine Learning Berbasis Multiple Measurement Distance Arwansyah, Arwansyah; Susanto, Cucut; Nurdiansah, Nurdiansah
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.2.2025.256-269

Abstract

This study aims to explore and develop a K-Nearest Neighbors (KNN)-based classification model using various distance calculation methods, namely Euclidean, Manhattan, Minkowski, and Hamming Distance. To improve the model’s accuracy, the results from each distance method are combined using a weighted average technique. The datasets used are the Iris and Breast Cancer datasets obtained from the UCI Machine Learning Repository. Preprocessing is carried out using normalization with StandardScaler to ensure uniform feature scaling. The model is tested using cross-validation techniques and evaluated using accuracy metrics and a confusion matrix to assess classification performance. Based on the experimental results, the use of multiple distance methods combined with a weighted average approach yields improved accuracy compared to the conventional KNN method that relies on a single distance calculation. The findings of this study indicate that the combination of distance methods in KNN can enhance model performance in classification tasks. This study is expected to contribute to the development of a more adaptive KNN algorithm tailored to diverse data characteristics.
Co-Authors Abdur Rahman Arif Adwi Restafara Ahmad Albar Tanjung Ahyuna Ahyuna, Ahyuna Aini Nurul Akhriana, Asmah Cucut Susanto, Cucut Daud Karel Walanda Dede Ruslan Dede Ruslan, Dede Ruslan Dewi Satria Ahmar Eramahi, Eka Erfan Hasmin Faizal Faizal, Faizal Gita Syahputra Gustianda, Nana Gusty, Sri hasyim, hasyim Hasyrif SY Heriadi, Herman Indah Permata Sari Itrayuni, Itrayuni Karina Nadya Sirajuddin Kusharyoto, Wien Kusharyoto, Wien LAKSMI AMBARSARI Lucky Satria Pratama Magfirah Magfirah Manalu, Herna Uli Mery Napitupulu Muhammad Chaerul Munajat Munajat, Munajat Nasrullah Hidayat, Nasrullah Nurdiansah, Nurdiansah Pardede, Erni Rugun Maria Rahmadana, Fitri Rahmansyah, Armin Rahmat Hidayat Samsu Alam Saputra, Edriagus Sianturi , Monika Karolina Sitti Aisa, Sitti Sri Mulyani Sabang Suryani Suryani Syamsudddin, Sadly Tahril Tony Sumaryada Usman Usman Vivi Dia A Sangkota Yusuf , Muhammad