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All Journal Jurnal Script R.E.M (Rekyasa Energi Manufaktur) Jurnal AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal Moral Kemasyarakatan Journal of Research and Technology Jurnal Keperawatan Muhammadiyah JURNAL SAINTIS Jurnal Teknologi Kedirgantaraan (JTK) Al-Kharaj: Journal of Islamic Economic and Business Publik: Jurnal Manajemen Sumber Daya Manusia, Administrasi dan Pelayanan Publik Tematik : Jurnal Teknologi Informasi Komunikasi International Journal of Health, Economics, and Social Sciences (IJHESS) Jurnal Media Informatika Jurnal Pengabdian Kepada Masyarakat Patikala Bulletin of Information Technology (BIT) Prosiding Seminar Nasional Program Pengabdian Masyarakat Procedia of Social Sciences and Humanities Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Teknologi dan Manajemen Industri Terapan Global Dedikasi Saintek Jurnal Pengabdian Masyarakat Jurnal Pendidikan Sosial dan Konseling SINAU : Jurnal Ilmiah Pendidikan dan Pembelajaran Jurnal Teknologi Lingkungan An-Nafis: Jurnal Ilmiah Keislaman dan Kemasyarakatan Al-Zayn: Jurnal Ilmu Sosial & Hukum Devotion: Jurnal Pengabdian Kepada Masyarakat Journal Of Engineering Sciences (Improsci) Jurnal Pengabdian Masyarakat Ahsan: Jurnal Ilmiah Keislaman dan Kemasyarakatan DEDIKASI SAINTEK Jurnal Pengabdian Masyarakat Ambacang: Jurnal Inovasi Pengabdian Masyarakat
iswanto
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Communication with Investors: Strengthening Strategies to Address the Decline in the Jakarta Composite Index and Improve the Welfare of MSMEs Made Susilawati; Nadiya Yunan; Iswanto; Liza Utama
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.9332

Abstract

The volatility of the Jakarta Composite Index (JCI) in 2026 has created a precarious environment for both institutional investors and Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. This research explores the pivotal role of strategic investor communication in mitigating the adverse effects of market downturns and its subsequent impact on MSME welfare. Utilizing a qualitative-exploratory approach, the study analyzes how transparent, data-driven communication strategies can stabilize investor sentiment and prevent capital flight during bearish periods. Furthermore, it investigates the structural link between capital market stability and the informal economy, particularly how fluctuations in the JCI influence the availability of credit and partnership opportunities for MSMEs. Grounded in Signaling Theory and Stakeholder Theory, the findings suggest that effective communication acts as a buffer against market irrationality. The research highlights that while a decline in the JCI often leads to tightened liquidity, proactive engagement strategies can sustain investor confidence in the long-term resilience of the Indonesian economy. This study concludes with a proposed framework for "Integrated Financial Communication" that synchronizes macro-level market signaling with micro-level MSME support systems to ensure holistic economic welfare.
Rancang Bangun Media Edukasi 3D Interaktif Pembelajaran IPA Berbasis Mobile Utomo, Suharjanto; Budiarto, Samsul; Iswanto; Hernawati; Fajar Sidik, Raihan
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2258

Abstract

The rapid development of digital technology provides new opportunities to improve the quality of learning, particularly in science education. Conventional learning media such as textbooks and static images are considered less effective in conveying concepts that are highly visual and abstract. This study aims to design and develop an interactive 3D mobile-based educational media as a learning tool for science subjects, with a case study on the human digestive system at SMP Muhammadiyah 5 Cimahi. The application enables students to explore the digestive system organs through interactive 3D models supported by audio narration and explanatory texts. The development method employed is the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The application was evaluated through alpha testing using the blackbox method and beta testing by distributing questionnaires to teachers and 14 eighth-grade students. The evaluation results indicate that the application is well-accepted and contributes positively to students’ understanding of the human digestive system. The questionnaire results showed a score of 4.37, indicating that the application is engaging, easy to use, and interactive. These findings highlight the potential of interactive 3D mobile-based educational media as an innovative alternative for more engaging and effective science learning.
A Analisis Perbandingan CNN, SVM, dan Hybrid CNN-SVM untuk Deteksi Anomali Trafik Jaringan Khosasih, Susiana; Antoni, Romi; Irnanda, Ricky; Iswanto; Hasibuan, Rahmat Humala Putra
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.748

Abstract

The rapid growth of information technology has significantly increased the volume and complexity of network traffic, leading to cyber security threats that are increasingly dynamic and difficult to detect using traditional security systems. The limitations of signature-based detection systems in identifying new attacks, including zero-day attacks, necessitate the adoption of more adaptive anomaly detection approaches through the utilization of machine learning and deep learning within Network Intrusion Detection Systems (NIDS). This study aims to analyze and compare the performance of Convolutional Neural Networks (CNN), Support Vector Machines (SVM), and a hybrid CNN–SVM model in detecting network traffic anomalies. This research employs a quantitative approach using an experimental method to evaluate the performance of the three models based on the CIC-IDS2017 dataset. The experimental process includes data preprocessing, model development, and performance evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the CNN and SVM baseline models achieve high accuracy levels of 98.85% and 98.66%, respectively, but still exhibit limitations in detecting minority attack classes. The hybrid CNN–SVM model achieves the best performance with an accuracy of 99.41% and a more balanced macro-average recall, indicating improved generalization across classes. The integration of CNN as a feature extractor and SVM as a classifier is proven to be effective in leveraging the complexity of network traffic features while enhancing classification stability. Therefore, the hybrid CNN–SVM approach can be recommended as a more effective and reliable network traffic anomaly detection method compared to single-model approaches in supporting modern network security systems.
Klasifikasi Penyakit Daun Tomat Menggunakan Pengolahan Citra Dan Algoritma Machine Learning Romi Antoni; Susiana Khosasih; Ricky Irnanda; Iswanto; Farhan Sardy Abdillah; Yiska Dayanti Zagoto; Rika Rosnelly
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.778

Abstract

Klasifikasi penyakit daun tomat merupakan langkah penting untuk meningkatkan produktivitas pertanian dan meminimalkan kerugian akibat patogen. Penelitian ini bertujuan membandingkan dan mengevaluasi performa algoritma Naive Bayes dan Support Vector Machine (SVM) dalam klasifikasi penyakit daun tomat berbasis pengolahan citra digital. Pipeline penelitian mencakup segmentasi citra berbasis HSV, ekstraksi fitur warna, bentuk, dan tekstur menggunakan metode Gray Level Co-occurrence Matrix (GLCM) dan Local Binary Pattern (LBP), serta proses klasifikasi. Sistem diimplementasikan dalam bentuk Graphical User Interface (GUI) berbasis MATLAB untuk memudahkan manajemen data latih, pelatihan model, klasifikasi, dan evaluasi performa. Hasil pengujian menunjukkan bahwa SVM mencapai akurasi 92,36%, lebih tinggi dibandingkan Naive Bayes sebesar 79,41%. Kontribusi penelitian ini meliputi analisis komparatif Naive Bayes dan SVM dalam klasifikasi penyakit daun tomat, integrasi fitur warna, bentuk, dan tekstur dalam satu pipeline, dan pengembangan GUI interaktif untuk klasifikasi. Penelitian ini diharapkan dapat mendukung pertanian presisi melalui deteksi penyakit daun tomat yang lebih cepat, akurat, dan efisien.
Dari Ma’at Ke Legitimasi Kekuasaan: Sejarah Dan Eksistensi Sistem Hukum Mesir Kuno Serta Pengaruhnya Terhadap Perkembangan Sistem Hukum Modern Agus Awaluddin; Sirajuddin; Chairul Fatihin; Taufik Firmanto; Iswanto
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 4 No 1 (2026): 2026
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v4i1.3503

Abstract

Penelitian ini mengkaji peran sentral Ma'at, prinsip kebenaran, keadilan, dan tatanan kosmik Mesir kuno, dalam membentuk teologi politik dan hukum era Firaun, serta warisannya dalam yurisprudensi modern. Ma'at, yang ditetapkan sejak penciptaan dari kekacauan (Nun) dan berlawanan dengan Isfet (ketidakadilan), berfungsi sebagai fondasi eksistensi dan standar etika yang mengatur hubungan manusia-dewa. Analisis mendalam menunjukkan bagaimana Firaun, sebagai 'Penguasa Ma'at', memanfaatkan prinsip ini untuk legitimasi politik dan otoritas yudisial terpusat melalui pejabat seperti Wazir, yang bertindak sebagai 'Imam Ma'at'. Meskipun kodifikasi hukum komprehensif jarang ditemukan, sistem peradilan Mesir menunjukkan koherensi signifikan melalui dekrit kerajaan dan tradisi. Lebih lanjut, temuan ini mengungkap pengaruh Ma'at pada sistem hukum Mediterania selanjutnya, menegaskan model etika Mesir Geru Maa sebagai nenek moyang konseptual bagi ho spoudaios dalam hukum Yunani dan paterfamilias dalam hukum Romawi, yang mendasari konsep orang yang rasional dalam hukum modern. Implikasinya, warisan Ma'at terletak pada penekanannya pada ketidakberpihakan sosial dan keadilan distributif, prinsip fundamental dalam etika hukum kontemporer dan pencarian global untuk akses universal terhadap keadilan.
Leadership in Disaster: A Global Challenge For Nurse Iswanto; Priyanti, Ratna Puji; Asri; Batubara, Sakti Oktaria
Jurnal Keperawatan Muhammadiyah Vol 10 No 4 (2025): JURNAL KEPERAWATAN MUHAMMADIYAH
Publisher : UNIVERSITAS MUHAMMADIYAH SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jkm.v10i4.29367

Abstract

Nurse is well known as a leader in compassionate profession that always take part in every crisis and emergency situation. Nurse mostly force to be a leader without formal education as a leader. This paper is to explore the leadership in disaster nursing as a challenge today and in the future. As a leader nurse must have certain knowledge and ability in decision making, communication and collaboration to manage the catastrophe events. Nurse must have certain traits and characteristics to manage the presence and influence as a leader and an ability to understanding the right leadership style that appropriate within the situation in crisis. Connecting the requirement of leadership in disaster nursing with the standardized curricula of leadership in disaster nursing is the future recommendation for nursing scholar.
Co-Authors Agus Awaluddin Ali Akbar Amanda Dewi Nadila Amelia Putri Ana Yuliana Andina Dwijayanti Angga Mursitasari Anita Antoni, Romi Arbiantara, Difta Aresyama Hein Temmar Ariawan D. Rachmanto Ariawan Djoko Rachmanto Ariawan Djoko Rahmanto Artha Gumelar, Buyung Asri Bambang Suwerda, Bambang Bara Pa, Hemi D. Bauana, Agnes E. Boy Isma Putra Budiarto, Samsul Chairul Fatihin Cici Nuryathrib Cindy Dandun Widhiantoro Daniel Martin Wijaya Dianita, Eka Mei Dimas Sunu Purwohadi DP, Mohammad Kurniawan Dwi Nuryani, Dina Edi Widodo, Edi Ernawati Essha Kakesha Rajabiah Eva Nurazizah Faaris Mujaahid Fadhli Nur Afandi Fahruddin, A'rasy Fajar Sidik, Raihan Farhan Sardy Abdillah Fery Hariyanto Firman Syarif Firmanto, Taufik Fitriah Amina Haenul Jarya Haratua, Chandra Sagul Harmi Tjahjanti, Prantasi Harmi Tjahjanti Harmiyati HARYONO Hasibuan, Rahmat Humala Putra Hasyim, Nanda Hernawati Heru Soerjono Iezam Kamalul Basyar Iqbal Bayyinah Bilhaqqi Irnanda, Ricky Ismaila, Novi Jakaria, Ribangun B Jakaria, Ribangun B. Juliana Juwita Kabnani, Jefri Kabnani, Jefri S. Khosasih, Susiana Koli, Maria Lakapu, Luisa Lestari Salau, Triati Liza Utama Made Susilawati Maryam , Siti MasrBABSi Mawardi, Kholiq Mega Nur Safira Mildawati, Roza MS, Shaharuddin Muhammad Sultan Nur S Muhammad, Raka Aji Muhani, Nova MULYADI Mulyadi Mulyadi Mustakim, Annas Nadiya Yunan Nia Nuraeni Suryaman Nopi Ramsari Novianti Indah Putri Novita Sheldena, Devi Nulik, Cici Nur Fitri Hidayah, Nur Fitri Nurul Septya Magisa Pangestu, Eka Adji Prastio, Anggit Priyanti, Ratna Puji Qatrunnada Jinan Akmaliah Rachmat Firdaus Rahmat Susanto Ramadhan , Muhammad Fadhil Ratna Dwi Ramdhani Reza Mahendra Ribangun Bamban Jakaria Ricky Irnanda Rika Rosnelly Rita Komalasari Rita Komalasari Rizaldy Rizki Wulan Novianti Rizky Hidayati Romi Antoni Rosmaharani, Shanti Rudyansyah Christie, Rakhmad Saefatu, Apris Y. Sakti Oktaria Batubara Salau, Triati L. Samsul Budiarto Satria, Faudyan Eka Selvi Dewi Rahayu Septa Intiar Sirajuddin Siti Maryam Sri Puji Ganefati Sugeng Supriyadi Sugianto Sulasti Surwati, Arni Susiana Khosasih Tafuakan, Philby Tasyarani, Nazla Tetra Dewi, Fatwa Sari Thoomaszen, Friandy W. Umi Kalsum Uning Lestari Uswatun Umi Zarhasih Utomo, Suharjanto Veronica, Meilin Warih Andan Puspitosari, Warih Andan Wati, Nur Niken Setyo Widyasmoro, Widyasmoro Windarso, Sarjito Eko Wiwik Handayani Wiwik Sumarmi Yiska Dayanti Zagoto Yulyani, Vera Yunianita Rahmawati, Yunianita Zayyana Cendikia Medina Zen Munawar