p-Index From 2021 - 2026
7.335
P-Index
This Author published in this journals
All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Sistem dan Informatika International Journal of Law Reconstruction Jurnal Pendidikan Informatika dan Sains Jurnal Khatulistiwa Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Al-Khidmah JURNAL EDUCATION AND DEVELOPMENT NUSANTARA : Jurnal Ilmu Pengetahuan Sosial CYBERNETICS BULETIN AL-RIBAATH JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) GERVASI: Jurnal Pengabdian kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Teknika Jurnal Abdi Insani JIKA (Jurnal Informatika) Journal of Innovation Information Technology and Application (JINITA) Innovation in Research of Informatics (INNOVATICS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) JUTECH : Journal Education and Technology Jurnal Pengabdian Masyarakat Nusantara Jurnal Media Informatika JUSTIN (Jurnal Sistem dan Teknologi Informasi) Joutica : Journal of Informatic Unisla Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Ilmiah Teknik Informatika dan Komunikasi Kohesi: Jurnal Sains dan Teknologi SmartComp Jurnal Informatika Polinema (JIP) Journal of Multidiscipline and Collaboration Research Jurnal Ragam Pengabdian JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Claim Missing Document
Check
Articles

Prediction of Students’ Major Selection Using the Fuzzy SugenoMethod Based on Report Card Grades Raihan Anugrah Fakhri; Alda Cendekia Siregar; Syarifah Putri Agustini Alkadri
Jurnal Ragam Pengabdian Vol. 3 No. 1 (Spesial Issue) (2026): "Dharma Samudera"
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/h96zxc86

Abstract

This study aims to develop a student achievement prediction system based on the Fuzzy Sugeno method using average report card scores to support science or social studies specialization recommendations. The data were obtained from student report cards at SMA 1 Toho in Microsoft Excel format and processed through fuzzification, inference, and defuzzification stages using triangular membership functions to produce crisp values and achievement categories. The system was implemented using the Python programming language and evaluated for result consistency. The findings indicate that the Fuzzy Sugeno method can objectively predict student achievement and support data-driven decision making in determining student specialization
SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN JERUK MENGGUNAKAN METODE CERTAINTY FACTOR Pirman Pirman; Barry Ceasar Octariadi; Syarifah Putri Agustini Alkadri
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 2 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i2.10197

Abstract

Jeruk adalah komoditas utama di Desa Tekarang, Kabupaten Sambas, Kalimantan Barat. Namun, dalam beberapa tahun terakhir, produksi jeruk mengalami penurunan akibat serangan penyakit seperti lalat buah, kutu loncat, diplodia basah, dan kering, yang mengakibatkan penurunan kualitas dan kerugian bagi petani. Penelitian ini mengembangkan Sistem Pakar Diagnosa Penyakit Jeruk menggunakan metode Certainty Factor untuk membantu Dinas Pertanian dalam mendiagnosa penyakit berdasarkan gejala yang terdeteksi. Certainty Factor digunakan untuk mengukur tingkat keyakinan diagnosis guna meningkatkan akurasi hasil. Uji coba menunjukkan akurasi sistem sebesar 78,57% dibandingkan dengan diagnosis pakar. Sistem ini diharapkan dapat menjadi alat bantu efektif bagi petani dan pihak terkait dalam mengenali penyakit jeruk dan mengambil langkah pengendalian yang tepat.
Rice Planting Time Prediction Using SARIMA-MFEP Integration in Kubu Raya Sinta Rama Dani; Syarifah Putri Agustini Alkadri; Sucipto
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.3233

Abstract

Extreme climate change has increased uncertainty in rice planting schedules, threatening food security in Kubu Raya Regency, West Kalimantan, and causing significant economic losses due to inaccurate seasonal predictions. This study integrates the Seasonal Autoregressive Integrated Moving Average (SARIMA) method with the Multi-Factor Evaluation Process (MFEP) to generate rice planting time recommendations based on scientific climate forecasting and multi-criteria agroclimatic evaluation. SARIMA is employed to forecast monthly rainfall, temperature, and humidity, while MFEP evaluates the feasibility of twelve alternative planting months using weighted criteria determined by local agricultural experts. The objective of this research is to develop an objective, accurate, and validated planting time prediction system to support farmers’ decision-making. The results show that the SARIMA model achieves very high accuracy, with Mean Absolute Percentage Error (MAPE) values below 2% for both temperature and humidity, and successfully captures 68% of seasonal rainfall variability. October is identified as the optimal planting month with the highest feasibility score, consistent with historical peak harvest patterns in January and February and aligned with regional literature. This integrated approach provides an end-to-end solution from forecasting to empirically validated, actionable recommendations, offering strong potential to reduce crop failure risk and enhance rice production efficiency under climate uncertainty.