Article Per Year (5 Year)
p-Index From 2021 - 2026
5.355
P-Index
This Author published in this journals
All Journal Sainteks Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) JUITA : Jurnal Informatika Proceeding Seminar LPPM UMP Tahun 2014 PROSIDING SENATEK FAKULTAS TEKNIK UMP JRST (Jurnal Riset Sains dan Teknologi) KACANEGARA Jurnal Pengabdian pada Masyarakat CYBERNETICS JURIKOM (Jurnal Riset Komputer) JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Generic Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Proceedings Series on Physical & Formal Sciences Dulang: Jurnal Pengabdian Kepada Masyarakat Techno Jutech: Jurnal Teknologi Informasi Prosiding University Research Colloquium Jurnal Sistem Informasi Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Jurnal Aplikasi Sistem Informasi dan Elektronika Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Kalam Jurnal Pengabdian Teknik dan Sains (JPTS) Prosiding Seminar Nasional CORISINDO
Hindayati Mustafidah
Universitas Muhammadiyah Purwokerto
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 124 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 124 Documents
Search

 9   10   11   12   13 
Expert System for Diagnosing Gourami Fish Diseases Using the Certainty Factor Approach Hindayati Mustafidah; Ilham Gunadi; Cahyono Purbomartono; Suwarsito Suwarsito; Eri Zuliarso
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 1, March 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i1.26031

Abstract

Gourami is an economically significant fish in the aquaculture sector due to its high market demand and relatively stable price. However, it is also challenging to cultivate, with disease outbreaks being one of the primary difficulties. Early diagnosis of gourami fish diseases requires expertise from fish health specialists, who are often difficult to find due to their limited availability. With advancements in artificial intelligence-based technology, this study developed an expert system to diagnose gourami fish diseases based on observed symptoms. The system employs the Certainty Factor (CF) approach to estimate the likelihood of a particular disease affecting the fish. The Certainty Factor approach utilizes a knowledge base derived from expert knowledge to address uncertainty in diagnosis. The certainty factor weights are determined based on confidence levels from both experts and users to generate an accurate diagnosis. This expert system was developed using data from 20 types of gourami fish diseases and 38 associated symptoms. The system successfully identified diseases with a certain level of confidence and provided appropriate treatment recommendations based on the confidence level obtained. By implementing this expert system, the risk of disease outbreaks can be minimized, thereby improving efficiency and productivity in gourami fish farming while helping maintain fish health and reducing economic losses caused by disease.
Image-Based Classification of Freshwater Fish Species to Support Feed Recommendation Using Random Forest Hindayati Mustafidah; Suwarsito Suwarsito; Rahmat Setiawan; Abdul Karim
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.27358

Abstract

Accurate identification of freshwater fish species plays a vital role in aquaculture, particularly in determining appropriate feed strategies to optimize fish growth. Visual similarities among species—such as color, shape, and surface texture—often hinder novice farmers from correctly recognizing fish types. This study proposes an image-based classification system using the Random Forest algorithm to identify six freshwater fish species: pomfret (bawal), gourami (gurame), catfish (lele), barb (melem), tilapia (nila), and Java barb (tawes) and provide automated feed recommendations. A total of 120 fish images were used as the dataset, collected from various sources, including online repositories and field documentation. Feature extraction was applied to capture color characteristics (HSV), texture patterns (GLCM), and morphological features (regionprops). The model was trained on 70% of the dataset and tested on the remaining 30%. Evaluation results show that the system achieved a classification accuracy of 83.33%, with a precision of 83.53%, recall of 83.33%, and an F1-score of 82.86%. Notably, catfish, barb, and tilapia classes achieved perfect classification, while pomfret and gourami showed room for improvement due to overlapping visual features. The findings indicate that the integration of Random Forest with multi-domain image features offers an effective, affordable, and practical solution to support the digital transformation of small and medium scale aquaculture systems through intelligent species recognition and feed guidance
Kinerja Pertumbuhan dan Kelangsungan Hidup Juvenil Ikan Dewa (Tor tambroides) yang Dibudidayakan pada Recirculating Aquaculture System (RAS) Suwarsito, Suwarsito; Rijal, Muhammad Azharul; Mustafidah, Hindayati; Tamam, Muhammad Taufik
Sainteks Vol. 23 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v23i1.30666

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas penerapan Recirculating Aquaculture System (RAS) terhadap kinerja pertumbuhan dan kelangsungan hidup ikan dewa (Tor tambroides), sebagai spesies lokal bernilai konservasi tinggi yang sensitif terhadap perubahan kualitas lingkungan perairan. Penelitian menggunakan Rancangan Acak Lengkap dengan dua perlakuan, yaitu sistem non‑RAS dan sistem RAS, masing‑masing dengan lima ulangan. Parameter yang diamati meliputi pertumbuhan mutlak, efisiensi pakan, dan kelangsungan hidup. Data dianalisis menggunakan sidik ragam (ANOVA) pada taraf kepercayaan 95%. Hasil penelitian menunjukkan bahwa penerapan sistem RAS memberikan pengaruh sangat nyata (p<0,01) terhadap pertumbuhan mutlak dan efisiensi pakan, serta pengaruh nyata (p<0,05) terhadap kelangsungan hidup ikan dewa. Sistem RAS menghasilkan nilai pertumbuhan mutlak dan efisiensi pakan yang lebih tinggi, serta kelangsungan hidup yang lebih baik dibandingkan sistem non‑RAS. Temuan ini menunjukkan bahwa stabilitas kualitas air dan lingkungan pemeliharaan yang lebih terkontrol pada sistem RAS mampu meningkatkan pemanfaatan nutrien pakan dan menekan stres lingkungan pada ikan dewa. Dengan demikian, penerapan sistem RAS berpotensi menjadi strategi teknologi yang efektif dan berkelanjutan untuk mendukung pengembangan budidaya ikan dewa.
Sistem Pakar Berbasis Web untuk Mengidentifikasi Jenis Ikan Air Tawar Menggunakan Metode Certainty Factor Mustafidah, Hindayati; Prayogo, Adhitya; Suwarsito, Suwarsito
Sainteks Vol. 23 No. 1 (2026): April
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v23i1.30852

Abstract

Penelitian ini bertujuan mengembangkan sistem pakar berbasis web untuk mengidentifikasi jenis ikan air tawar berdasarkan kualitas air dan kondisi wilayah menggunakan metode Certainty Factor (CF). Sistem dikembangkan menggunakan parameter kualitas air meliputi suhu air, oksigen terlarut, pH, amonia, dan total dissolved solid (TDS), serta parameter kondisi wilayah berupa suhu udara dan ketinggian dataran. Penelitian menggunakan 18 parameter dan 11 jenis ikan air tawar yang diperoleh melalui wawancara dengan pakar perikanan dan studi literatur. Tahapan penelitian meliputi akuisisi pengetahuan, representasi pengetahuan, pengembangan shell sistem, dan pengujian. Pengujian sistem dilakukan menggunakan Black Box Testing dan System Usability Scale (SUS). Hasil pengujian menunjukkan bahwa sistem mampu menghasilkan tingkat akurasi sebesar 93%, sedangkan pengujian SUS memperoleh skor rata-rata 71,25 yang termasuk kategori baik. Hasil tersebut menunjukkan bahwa sistem dapat membantu pengguna dalam menentukan jenis ikan air tawar yang sesuai untuk dibudidayakan.
Co-Authors . Suwarsito Abdul Azis Abdul Kadir Hasani Abdul Karim Abu Khaer Firman Ades Galih Anto Adi Imantoyo Aditya Hadi Wijaya, Aditya Hadi Agung Purwo Wicaksono Agung Purwo Wicaksono Agung Supriyono Ahmad Ahmad Ahmad Yatiman Aji Dwi Setyabudi Aji, Panji Andika Mustiko Akbar Wiraisy Akhsin Rifai Aman Suyadi Aman Suyadi Aman Suyadi Amrisa Yanri Rahmadhani Andi Kurniawan Anis Shofiyani Anton Suroto Ardhine Attafaqquf Arif Mukhamal Bangkit Nurdiyansah Beny Pradana Betharia Wahyu Rizdawaty Citra Aristy Yusliani Dany Candra Febrianto Darwan, Darwan Dede Rubianto Dedi Mulyawan, Dedi Dedi Suprayogi Denis Pratama Alwan Azzami Dimara Kusuma Hakim Dimara Kusuma Hakim Dimas Anugerah Adibrata Dini Agustina Dini Siswani Mulia Dwi Aryanto Dwi Aryanto Dwi Ayanto Dwi Cahyanto Yoni Dwiky Putra Hardiawan Eka Setyaningsih Elindra Ambar Pambudi Eri Zuliarso Erik Kurniawan Fardhian Dwi Saputra Feri Wibowo Fitriani, Maulida Ayu Ghifari, Abu Dzar Al H Harjono Habib Wisnu Pratama Habibullah Al Faruq Halimah, Fitri Nur Harjono, H Hendrik Prawijaya Heri Maryanto, Cahyono Purbomartono, Heri Maryanto, Hirzi Nur Hadyan Ibnu Hazim Alfatih Ilham Gunadi Jaka Purwa Nugraha, Jaka Purwa Jefri Setiawan Khotimul Anwar Luthfatul Adlhiyah Mahmud, Annisa Kayla Azzira Manshur Awalludin Martono Akbar Rahmadi Mawaddah Isfa Apriliyani Mochamad Tegar Utomo Moh Aya Sofia Mr. Harjono, Mr. Mr. Suwarno, Mr. Muchammad Agung Miftahudin Muftikhah, Muftikhah Muhamad Zaeni Budiastanto Muhammad Hamka Muhammad Hamka Mustika Ratnaningsih Purbowati Mu’ammirotus Sholihah Ning Rahayu Noor Adi Pamungkas Nugraha, Habib Rosyid Pandu Nugroho, Aswin Mulyo Nurhidayah Nurhidayah Opik Taofik Pajar Sidiq Pandu Priambadha Prayogo, Adhitya Prista Amanda Putri Purnomo Purnomo Purwana Abdi Pujangga Putri Fitria Aprilliani Rahmat Setiawan Rakhmat Wijayanto, Rakhmat Ratna Kartikawati Ratna Kartikawati Reza Satria Ridho Muktiadi Rifqi Al Mubarok Rijal, Muhammad Azharul Rizka Putriyanti Rizky Maulana Yusuf Rodiah Pawesti Mayasari Rudi Aditia S Suwarsito SANTOSA, DWI Saputri, Devi Selvia Nur Rohman Septian Ari Wibowo Sigit Sugiyanto SUPRIYONO Supriyono Supriyono Susi Kurniasih Susylowati, Dewi Suwarno Suwarno Suwarno Suwarno Suwarsito, S Syahrul Hakim Tamam, Muhammad Taufik Tito Pinandita Wahyu Agung Ciptadi Wahyu Giri Pambudi Giarto Yuni Wiwiet Wiharti Yusuf, Rizky Maulana