Items where Division is "55101-Informatics (S2)" and Year is

Article

OCTARIA, ORISSA and Ermatita, Ermatita and Sukemi, Sukemi Penerapan Knowledge Management System Menggunankan Algoritma Levenshtein. Jurnal RESTI (Rekayasa Teknologi dan Sistem Informasi). ISSN 2580-0760

Other

Br. Tarigan, Dwi Meylitasari and Rini, Dian Palupi and Sukemi, Sukemi Particle Swarm Optimization – Based on Decision Tree of C4.5 Algorithm for Upper Respiratory Tract Infections (URTI) Prediction. IOP.

DARMAWAHYUNI, ANNISA and Nurmaini, Siti and Caesarendra, wahyu and Bahyyu, Vicko and Rachmatullah, M Naufal and Firdaus, Firdaus and Sukemi, Sukemi Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier (Peer Review). MDPI. (Unpublished)

Ermatita, Ermatita Similarity Soft and Hard Clustering for Abstract Scientific Paper in Indonesian. Turnitin Universitas Sriwijaya. (Submitted)

OKTAVIAN, DIAN and Ubaya, Huda and Sukemi, Sukemi Penentuan Dosis Pupuk Tanaman memanfaatkan Hasil Foto Udara Menggunakan metode Fuzzy Tsukamoto (Similarity). fakultas ilmu komputer UNSRI.

Sukemi, Sukemi and Rianto, Rianto and Bambang, Bemby Soebyakto and Saputra, Yogi Optimizing Accuracy of the Variety Bitspaces for Weather Forecasting for Early Flight Safety (Peer Review). Universitas Sriwijaya. (Unpublished)

Sukemi, Sukemi and riyanto, riyanto Priority based computation: “AnInitial study result of paradigm shift on real time computation” (Peer Review). Fakultas Ilmu Komputer UNSRI.

Ubaya, Huda and Sukemi, Sukemi and OKTAVIAN, DIAN Determination of Fertilizer Doses of Plants Utilizing the ResultsofAerial Photographs Using Fuzzy Tsukamoto. IOP.

ermatita, ermatita Similarity - Prediction Of Paddy Plant Height With Vermicompost Fertilizer Treatment On Tidal Land Using ANFIS Method. IEEE.

ermatita, ermatita Similarity : Literatur Review: Metode Klasifikasi Pada Sentimen Analisis. STMIK Budi Darma.

purnama sari, ayu and Ubaya, Huda and Sukemi, Sukemi New Model of Vegetation Monitoring Using Flying NIR Cameras with NDVI Parameters and C-means. IOP.