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All Journal Jurnal Sapa Laut Jurnal CoreIT MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Artificial Intelligence and Digital Business Bakti Sekawan : Jurnal Pengabdian Masyarakat
Muhamad Azwar, Muhamad
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Health Professions Social Sciences Other

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CRITICAL THERMAL DARI IKAN Zebrasoma scopas YANG BERASAL DARI PERAIRAN PULAU HOGA KABUPATEN WAKATOBI Azwar, Muhamad; Emiyarti, Emiyarti; Yusnaini, Yusnaini
Jurnal Sapa Laut (Jurnal Ilmu Kelautan) Vol 1, No 2: Mei 2016
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jsl.v1i2.931

Abstract

Penelitian ini dilaksanakan pada bulan Juli 2015. Sampel Ikan Zebrasoma scopas diambil di perairan Pulau Hoga. Serangkaian uji labolatorium dilakukan di Laboratorium Basah Pulau Hoga dengan tujuan untuk mengetahui suhu letal serta perubahan tingkah laku ikan Zebrasoma scopas akibat pengaruh kenaikan suhu air laut. Metode yang digunakan dalam penelitian ini adalah metode Critical Thermal dengan menggunakan 10 ekor ikan Zebrasoma scopas sebagai hewan uji. Hasil penelitian menunjukan bahwa secara umum suhu perairan Pulau Hoga berkisar antara 29-32oC. Ikan Zebrasoma scopas mengalami kondisi kritis/letal yang disebabkan oleh kenaikan suhu air pada kisaran suhu rata-rata 37,9oC dengan lama waktu pemaparan sebesar 41.01 menit. Perubahan tingkah laku ikan tersebut dimulai dari ikan mulai bernafas dengan cepat  yang diindikasikan dengan pergerakan operculum ikan semakin cepat, ikan mulai gelisah dengan menunjukan pergerakan naik turun dari permukaan sampai dasar aquarium, serta pergerakan ikan mulai tidak seimbang yaitu ikan mulai berenang miring hingga menabrak dinding aquarium.
Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health Azwar, Muhamad; Winarni Sofya, Sri; Malika, Riwayati; Hairani, Hairani; Ximenes Guterres, Juvinal
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 2 (2025)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i2.4485

Abstract

The use of herbal medicine as an alternative treatment is increasingly popular due to its natural benefits and cultural significance. However, a lack of public knowledge about the effectiveness, appropriate dosages, and processing methods of herbal remedies poses a significant barrier to their proper utilization. This knowledge gap often leads to suboptimal or even unsafe usage of herbal medicines. To address this issue, this study proposes an application-based system combining the Forward Chaining and Certainty Factor methods to provide personalized recommendations for the best herbal remedies supporting self-health management. The research aims to enhance accessibility to reliable information on herbal treatments while ensuring accurate and user-specific recommendations. By utilizing the ForwardChaining and Certainty Factor method, this system identifies suitable herbal plants based on the type of disease, processing techniques, recommended dosages, and duration of treatment. Meanwhile, the Certainty Factor method calculates the level of certainty for each recommendation provided. The study’s results showed a validation rate of 90%, indicating that the combination of these two methods effectively bridges the gap between traditional herbal knowledge and modern health needs. This study concludes that the system offers a practical tool for individuals to select and use herbal treatments safely and effectively, promoting better health outcomes.
PERANCANGAN APLIKASI PENGOLAHAN DATA KELOMPOK TANI TERNAK PROVINSI NTB Azwar, Muhamad; Moch. Syahrir; Mudawil Qulub
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2022): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v2i2.209

Abstract

The Department of Animal Husbandry and Animal Health is one of the government agencies of West Nusa Tenggara Province which has the task of improving the welfare of the community and reducing poverty in West Nusa Tenggara Province by providing grants in the form of livestock assistance or other assistance, assistance is given to livestock farmer groups in all regencies/cities throughout the province. -NTB has criteria that have been determined by the Animal Husbandry and Animal Health Service of the Province of NTB, the assistance provided is sourced from the Provincial Revenue and Expenditure Budget (APBD) and the State Revenue and Expenditure Budget (APBN), because the process of providing assistance through the selection of submitted proposals manually by livestock farmer groups with three processes that become important points, namely recapitulation, validation and verification which takes a long time and the lack of information related to the development of livestock farmer groups in all regions of NTB that have received assistance, therefore an application or application is needed. u an information system that can assist the Department of Animal Husbandry and Animal Health of the Province of NTB in processing livestock farmer group data, ranking as a good decision maker..
Integration of Security Information and Event Management and WhatsApp Bot to Improve Server Security in Real-time Widyawati, Lilik; Prana, Yogi Surya; Azwar, Muhamad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.453

Abstract

Meskipun sistem Security Information and Event Management (SIEM) seperti Wazuh telah digunakan untuk mendeteksi dan merespons serangan, banyak dari sistem ini yang masih mengandalkan dashboard manual, yang mengurangi efisiensi dan waktu respons terhadap ancaman. Penelitian ini bertujuan untuk mengembangkan sistem monitoring serangan siber dengan mengintegrasikan Wazuh dengan WhatsApp Bot untuk memberikan pemberitahuan real-time, sehingga mempercepat respon terhadap insiden keamanan. Metode yang digunakan dalam penelitian ini adalah Network Development Life Cycle (NDLC), yang melibatkan tahapan analisis kebutuhan, desain sistem, simulasi prototipe, dan pengujian sistem. Pada tahap analisis, data mengenai teknologi terkini dalam manajemen keamanan siber dikumpulkan melalui studi literatur. Sistem yang dirancang mengintegrasikan Wazuh dengan WhatsApp Bot, memungkinkan pemberitahuan serangan dikirimkan langsung ke WhatsApp administrator. Proses implementasi dilakukan dengan mengonfigurasi Wazuh Server dan WhatsApp Bot, diikuti dengan pengujian untuk menilai keefektifan sistem. Penelitian ini menunjukkan bahwa integrasi antara Wazuh dan WhatsApp Bot berhasil meningkatkan efisiensi pemberitahuan serangan. Rata-rata waktu pemberitahuan setelah implementasi sistem adalah 52 hingga 58 detik, lebih cepat dibandingkan dengan waktu pemberitahuan lebih dari satu menit pada sistem sebelumnya. Selain itu, sistem ini juga memungkinkan pengelolaan konfigurasi active-response secara otomatis melalui WhatsApp, yang memungkinkan administrator untuk merespons ancaman tanpa harus membuka dashboard. Pengujian juga menunjukkan bahwa pemblokiran serangan seperti Brute Force, SQL Injection, dan XSS dapat dilakukan dengan lebih cepat, dengan rata-rata waktu pemblokiran mencapai 3 menit 6 detik untuk Brute Force dan 1 menit 43 detik untuk SQL Injection. 
Optimizing Scalability in Spice Identification through Transfer Learning with Convolutional Neural Networks Switrayana, I Nyoman; Azwar, Muhamad
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.35453

Abstract

Indonesia is renowned for its rich diversity of spices, which hold significant cultural and economic value. However, public knowledge of these spices remains limited, making their identification challenging. Addressing this issue, this study aims to develop a scalable spice identification system using Convolutional Neural Networks (CNN) with a Transfer Learning approach. The system is designed to recognize 30 types of spices while maintaining high accuracy, utilizing the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework for systematic development. The dataset was collected through open sources and web scraping from Google Images. Four CNN models (ResNet50, EfficientNetB0, Xception, and MobileNet) were evaluated under three data splits: 90:10, 80:20, and 70:30. Performance metrics including accuracy, precision, recall, and F1-score were used for evaluation. Among these models, Xception achieved the best performance in the 90:10 split, with an accuracy of 84.51%, followed by EfficientNetB0 at 83.57%. The results demonstrate that transfer learning effectively enhances model accuracy and scalability, enabling reliable spice identification across diverse categories. This system has practical implications for promoting public awareness, supporting culinary industries, and preserving Indonesia’s rich spice heritage. The proposed approach highlights the potential of CNN-based systems for addressing classification challenges in resource-constrained settings, offering a foundation for future research and real-world applications.
Development of a Smart System for Optimizing Treatment Using Forward Chaining Method Azwar, Muhamad; Qomaliyah, Eka Nurul; Indriani, Nurul
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3371

Abstract

The utilization of traditional herbal medicine among the inhabitants of Lombok is notably prevalent yet frequently hindered by a lack of comprehension regarding the efficacy of herbal remedies for specific ailments. Addressing this challenge, this study proposes the development of an Android application called "sopherbal", aimed at delivering personalized herbal plant recommendations via easily accessible mobile devices. Employing forward chaining methodology, the application identifies optimal herbal remedies based on ailment type, processing techniques, usage instructions, and recommended dosage and treatment duration. Notably, while effective in this context, the forward chaining approach entails certain trade-offs and hurdles. Previous research indicates that forward chaining facilitates accurate recommendation generation, and it may be constrained by its reliance on predefined rules and limited adaptability to complex, evolving scenarios. Despite these challenges, the ”sopherbal” application, featuring 50 Sasak medicinal plants curated for 15 common ailments, achieved an 86% validation rate, affirming its efficacy in bridging the gap between traditional herbal knowledge and modern healthcare needs.
Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health Azwar, Muhamad; Winarni Sofya, Sri; Malika, Riwayati; Hairani, Hairani; Ximenes Guterres, Juvinal
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i2.4485

Abstract

The use of herbal medicine as an alternative treatment is increasingly popular due to its natural benefits and cultural significance. However, a lack of public knowledge about the effectiveness, appropriate dosages, and processing methods of herbal remedies poses a significant barrier to their proper utilization. This knowledge gap often leads to suboptimal or even unsafe usage of herbal medicines. To address this issue, this study proposes an application-based system combining the Forward Chaining and Certainty Factor methods to provide personalized recommendations for the best herbal remedies supporting self-health management. The research aims to enhance accessibility to reliable information on herbal treatments while ensuring accurate and user-specific recommendations. By utilizing the ForwardChaining and Certainty Factor method, this system identifies suitable herbal plants based on the type of disease, processing techniques, recommended dosages, and duration of treatment. Meanwhile, the Certainty Factor method calculates the level of certainty for each recommendation provided. The study’s results showed a validation rate of 90%, indicating that the combination of these two methods effectively bridges the gap between traditional herbal knowledge and modern health needs. This study concludes that the system offers a practical tool for individuals to select and use herbal treatments safely and effectively, promoting better health outcomes.
Co-Authors Eka Nurul Qomaliyah Emiyarti Emiyarti, Emiyarti Hairani Hairani I Nyoman Switrayana Lilik Widyawati Malika, Riwayati Mudawil Qulub Nurul Indriani Prana, Yogi Surya Sri Winarni Sofya Syahrir, Moch. Winarni Sofya, Sri Ximenes Guterres, Juvinal Yusnaini Yusnaini