Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Indonesian Journal of Data and Science Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT)
Saiman, La
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemanfaatan Sistem Informasi Akademik dan Media Video Pembelajaran Sebagai Penunjang Kinerja Guru Belluano, Poetri Lestari Lokapitasari; Faradibah, Amalia; Saiman, La; AR, Fatimah; Kasmira, Kasmira
Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Vol 3, No 2 (2021)
Publisher : Vokasi Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1161.37 KB) | DOI: 10.33772/jpmit.v3i2.22640

Abstract

Academic Information System (xSIA) is a system that has one function to manage student data so as to provide convenience for teachers as the main users in recording the final grades of student learning outcomes each semester. The PKM program for teacher partners also provides technical training using the Snagit application to find out learning video material as an alternative method so that it can support teacher performance in the online teaching process. So that the Learning From Home (LFH) or Distance Learning Method can be implemented by school teachers at SDN No.133 Pari'risi Takalar. The training model applied uses the Preceptorship and Participatory training model. while the design phase of the application model used by Prototyping to graphically represent the workflow of the system. The objectives of this research are: 1) The existence of a web-based academic information system application, namely xSIA to report student assessments and application video tutorials. 2) Output in the form of the ILKOM Scientific Journal for the 2021 period UMI Computer Architecture or other Accredited journals. And 3) enrichment of teaching materials in Software Engineering courses.
Analisis performa metode Support Vector Machine untuk klasifikasi dataset aroma tahu berformalin Saiman, La; Satra, Ramdan
Indonesian Journal of Data and Science Vol. 2 No. 2 (2021): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v2i2.28

Abstract

Bermunculan adanya kasus penyalahgunaan formalin sebagai bahan pengawet untuk tahu dan ketersediaan cara deteksi kandungan formalin yang tergolong tidak praktis dan membutuhkan tenaga ahli khusus, Penelitian ini bertujuan untuk melakukan analisis performa suatu metode. Pengolahan data tersebut digunakan untuk memprediksi terdapatnya kandungan formalin pada tahu melalui aroma yang dikeluarkan. Teknik klasifikasi yang digunakan yaitu dengan menggunakan pengukuran performa (Accuracy, Precision, Recall, dan F-Measure) menggunakan Metode Support Vector Machine. Inputan yang digunakan yaitu atribut data aroma tahu berformalin, dan tidak berformalin. Hasil penelitian ini menunjukkan metode SVM mempunyai kinerja yang cukup baik. Berdasarkan hasil pengujian menggunakan confusion matrix didapatkan hasil uji performa Metode SVM accuracy 67%, precision 69%, recall 67%, dan f-measure 66% dengan Nilai K=5.
Co-Authors AR, Fatimah Faradibah, Amalia Kasmira, Kasmira Lokapitasari Belluano, Poetri Lestari Ramdan Satra