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All Journal International Journal of Integrative Sciences LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat
Suryaningrat
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Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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Development of an Expert System for Diagnosing Respiratory Diseases in Animals Using the Bayesian Network and Rule-Based System Methods Farhan Stiady Syah; Rosyani, Perani; Suryaningrat; Putri, Firda Salsabila; Ashari, Idpan; Sofian, Kurnain
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13481

Abstract

Respiratory diseases in animals are a common health issue affecting both livestock and pets. These conditions can lead to significant economic losses in the livestock sector and reduce the quality of life for pets if left untreated. Early and accurate diagnosis is crucial to identify diseases promptly, prevent further spread, and minimize negative impacts on animals and their owners. Therefore, a system capable of providing fast, accurate, and data-driven diagnoses is essential. This study aims to develop an expert system specifically designed to diagnose respiratory diseases in animals using two main approaches: Bayesian Network and Rule-Based System. The Bayesian Network models uncertainties by analyzing probabilistic relationships between observed symptoms and potential diseases, while the Rule-Based System supports decision-making based on predefined rules. The combination of these methods is expected to yield more accurate and informative diagnostic results. Symptom data for this study were obtained from various sources, including relevant medical literature and animal health databases. The system was developed using Python programming language, leveraging libraries such as pgmpy for constructing Bayesian Network models and experta for implementing the Rule-Based System. The development and testing processes were conducted on the Google Colab platform, enabling efficient data processing, simulation, and visualization. The expert system was evaluated using simulated symptom data, with performance parameters including diagnosis probability and overall accuracy. The results indicate that the expert system effectively provides diagnoses based on user-input symptoms. The probability information included in the diagnostic results aids veterinarians and livestock owners in making more precise, data-driven medical decisions
PENERAPAN PRIVATE CLOUD STORAGE DENGAN MENGGUNAKAN OWNCLOUD DI PT. SUMBERMULIA HASILGUNA (IT GALERI) Dede Yusup; Suryaningrat
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 03 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Cloud Computing technology with Private Cloud Storage services is and is an answer to problems that often occur in our daily lives, namely the problem of using physical storage devices such as memory cards, flash drives and hard disks where the data contained in them often suffers damage such as physical damage. devices, affected by bad sectors, affected by viruses, lost devices and so on, as often happens to Gallery IT employees who do not re-store or backup their data on storage media. The implementation of private cloud storage using the owncloud application is a solution so that high storage space requirements can be met, the quota given can be unlimited or you can also set the quota for each user. Ease of access because it uses a LAN (local area network) network so it is more secure and flexible for employees to store and access data in owncloud.
TRANSFORMASI IDE MENJADI APLIKASI : ALUR KERJA YANG EFEKTIF Ahmad Aqil; Anisa Dwi Yulianti; Dandi Ariq D; Dhafa Akbar; Ifal Rizky Priadi; Maulana Cahya Putra; Muhammad Rendi Saputra; Septiyan Dwi Nugroho; Wisnu Bayu Pamungkas; Wisnu Oetama; Suryaningrat
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

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Abstract

Di era digital yang berkembang pesat, aplikasi telah menjadi salah satu elemen kunci ekosistem teknologi informasi dan berperan sentral dalam banyak aspek kehidupan. Aplikasi tidak hanya menjadi pembawa informasi tetapi juga alat komunikasi, platform bisnis, forum interaktif, dan sistem penyimpanan data penting. Namun, di balik semua keindahan, fitur interaktif, dan informasi yang tersedia pada sebuah website, terdapat dasar teknis yang sangat penting dan kompleks: proses atau proses pembuatan aplikasi. Para mahasiswa akan diberikan pemahaman bagaimana memahami alur kerja dalam dunia kerja. Diharapkan dengan adanya sosialisasi ini, para siswa SMKN 8 Kabupaten Tangerang lebih memahami alur kerja dalam pengembangan web. Sosialisasi ini juga diharapkan dapat meningkatkan kualitas web development yang dihasilkan oleh siswa-siswi SMKN 8 Kabupaten Tangerang.
Analyzing MAUT, ELECTRE, and SMART Methods in Determining the Best Physics Learning Media Aid Andre Farhan Saputra; Fransiskus Pito Tenawahang; Mulia Yuga Utama; Perani Rosyani; Suryaningrat; Yono Cahyono
International Journal of Integrative Sciences Vol. 2 No. 12 (2023): December 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v2i12.7350

Abstract

This study, titled " Analyzing MAUT, ELECTRE, and SMART Methods in Determining the Best Physics Learning Media Aid", evaluates three decision analysis methods—Multi-Attribute Utility Theory (MAUT), Elimination Et Choix Traduisant la Realité (ELECTRE), and Simple Multi-Attribute Rating Technique (SMART). Focused on factors like usability, effectiveness, cost, and adaptability, it guides educators in choosing the best learning tools. Using a multi-criteria decision analysis framework, the research systematically assesses MAUT, ELECTRE, and SMART, emphasizing their strengths and limitations in physics education. Beyond immediate decision-making, it prompts discussions on technology integration, encouraging innovative approaches. Findings offer insights for future research at the intersections of technology, pedagogy, and decision science. In conclusion, the study illuminates decision analysis methods for optimal physics learning media tools. PhyWiz's consistent top-ranking performance highlights its potential for enhancing physics education. The research recommends PhyWiz integration, emphasizing regular evaluation and adoption of innovative tools to improve physics education quality. It provides a practical guide for educators, contributing to continuous enhancements in teaching and learning experiences
Implementrasi Sistem Pakar Berbasis Web untuk Mengetahui Tingkat Gangguan Mental pada Karyawan RSU TANGSEL Dengan Metode Backward Chaining Kurnia Putra, Dika; Suryaningrat
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 3 No 4 (2025): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) (INPRESS)
Publisher : Shofanah Media Berkah

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Abstract

Penelitian ini bertujuan mengembangkan sistem pakar berbasis web yang dirancang untuk membantu mendeteksi tingkat gangguan mental pada karyawan. Sistem ini menggunakan metode backward chaining, yang bekerja dengan melacak informasi dari kesimpulan menuju data untuk menganalisis kondisi kejiwaan pengguna. Studi kasus dilakukan di RSU Tangsel dengan melibatkan pakar kesehatan jiwa guna memastikan sistem memiliki tingkat akurasi yang andal. Proses pengembangan mencakup pengumpulan data gejala, analisis aturan diagnostik, dan implementasi algoritma pada platform web. Sistem ini menghasilkan diagnosis tingkat gangguan kejiwaan, seperti ringan, sedang, atau berat, berdasarkan gejala yang dimasukkan. Dengan antarmuka yang sederhana dan mudah diakses, sistem ini memungkinkan pengguna melakukan evaluasi awal secara mandiri, membantu deteksi dini, serta mencegah dampak negatif pada produktivitas kerja dan kesejahteraan mental. Hasil pengujian menunjukkan bahwa sistem ini memberikan hasil yang akurat dan konsisten, serta dapat dimanfaatkan sebagai alat bantu bagi tenaga kesehatan untuk mempercepat proses diagnosis. Implementasi sistem ini diharapkan menjadi inovasi dalam pemanfaatan teknologi untuk meningkatkan kesehatan mental di lingkungan kerja, terutama pada individu usia produktif, sekaligus mendorong kesadaran akan pentingnya deteksi dini gangguan mental.
Sistem Monitoring Perbaikan Mesin Produksi Berbasis Website dengan Pelaporan Realtime Irvanto, Danindra; Suryaningrat
Jurnal Riset Informatika dan Inovasi Vol 3 No 8 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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Abstract

Penelitian ini bertujuan mengembangkan sistem monitoring perbaikan mesin produksi berbasis website dengan pelaporan realtime untuk meningkatkan efisiensi proses perbaikan mesin di PT Anugrah Prima Perdana. Proses manual yang sebelumnya digunakan menimbulkan berbagai kendala seperti keterlambatan respons teknisi, kurangnya transparansi, serta kesulitan memantau status perbaikan. Metode yang digunakan dalam penelitian ini adalah Extreme Programming (XP), yang mendukung proses pengembangan secara iteratif melalui komunikasi intensif dan umpan balik berkelanjutan dari pengguna. Perancangan sistem dilakukan menggunakan pendekatan UML dengan use case diagram, activity diagram, class diagram, dan normalisasi basis data. Sistem berbasis web ini memberikan fitur pelaporan kerusakan, notifikasi teknisi, pemantauan status realtime, serta pencatatan histori perbaikan. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan kecepatan pelaporan, mempercepat alur komunikasi antar pengguna, serta memudahkan manajemen dalam mengawasi proses perbaikan mesin. Dengan demikian, sistem ini berkontribusi signifikan dalam meningkatkan efektivitas pengelolaan perbaikan mesin produksi.
Co-Authors Abdurrobi Elman Sudri Ahmad Aqil Ahmad Tazusyarofi Aji Satria Amelia Dwi Lestari Andika Fahrezi Andre Farhan Saputra Anggelia Wijayanti Anisa Dwi Yulianti Asha Riska Amalia Ashari, Idpan Ayu Puspita, Nita Ayyash Umar Kholid Azis Firdaus Bagus Riyanto Bahrudin Dafit Muttaqin Dandi Ariq D Danindra Irvanto Dede Yusup Dhafa Akbar Dimas Yoga Pratama Diva Randy Baskara Eyden Bilkhaq Fadhil Nurmustaqiim Fahri Alvyanto Pratama Fahrul Hidayat Fajril Kemal Fathan Fakhrur Reza Nursalam Falah Ramadhan Fardhan Failul Alal Farhan Stiady Syah Fikri Akbari Fikri Arya Khairulloh Fikry Ubaidillah Fransiskus Pito Tenawahang Hakim, Ilham Hamsyah Prasnowo Haryono, Wasis Hendri Setiawan Ifal Rizky Priadi Irvanto, Danindra Kurnia Putra, Dika Leni Mardalena Telaumbanua Lutfi Nurwasfiah Lutfiah Rizky Anisa Mahdiyah Maulana Abdillah Maulana Cahya Putra Mazda Reza Azhari Mohamad Ikhsan Komarudin Mohammad Heyckal Mohammad Ramdani Muhamad Priyo Budi Purnomo Muhammad Akmal Daffa Muhammad Faren Rajendra Ratosila Muhammad Farhan Muhammad Imam Fachrizal Muhammad Rendi Saputra Muhammad Rizki Maulana Mulia Yuga Utama Nadrotannaim, Bariqli Nanang Nandi Mulyana Narfatina Dari Ola Naufal Dzakwan Hilmy Octaviano, Alvino Panglima Muhammad Yahya Perani Rosyani Prasetyo, Andika Azis Putri, Firda Salsabila Raihan Dasa Ari Mukti Raihan Khairuddin Fadhillah Rama Pranata Reza Ardian Sitorus Richard Suwandi Rifdah Indriani Rizki Apriansyah Rizki Putra Fadilla Sabila Fatimah Azzahra Salsa Shabilla Septiyan Dwi Nugroho Setiyadi, Yusnar Siti Fadilah Sari SITI FATIMAH Slamet Riyadi Sofian Hulu Sofian, Kurnain Taufiq Raihansyah Whinda Sari Wisnu Bayu Pamungkas Wisnu Oetama Yazid Azzaki Ilham Yono Cahyono Yuda Samudra Zezen Mujani