Article Per Year (5 Year)
p-Index From 2021 - 2026
3.428
P-Index
This Author published in this journals
All Journal JITEK (Jurnal Ilmiah Teknosains) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Informasi MURA Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pengabdian Dharma Wacana Ngabdimas : Pengabdian Pada Masyarakat Jurnal Pengabdian Masyarakat Tapis Berseri Jurnal Teknologi Informasi Mura Jurnal Pengabdian Kepada Masyarakat Ngabdimas Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sasmita Sasmita
Institut Teknologi Pagar Alam, Pagar Alam, Sumatera Selatan
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Mechanical Engineering Medicine & Pharmacology Social Sciences Veterinary Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Penerapan Algoritma Regresi Linier Berganda Untuk Memprediksi Hasil panen Padi Di Kota Pagar Alam Dedi Setiadi; S Sasmita; Melza Yolanda
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.353

Abstract

Many farmers experience crop failure. Apart from that, farmers do not know what factors most influence the crop yield, so farmers cannot anticipate crop failure. Based on these conditions, a prediction model is needed that is able to predict rice crop yields so that farmers can find out the causes of crop failure, the factors that most influence crop yields and make better estimates of what will happen in the future, so that farmers can make policies and measures to anticipate crop failure in the next planting. This research aims to predict rice harvest yields in Pagar Alam City so as to help farmers predict rice harvest more easily, farmers can take policies and actions to predict crop failure using a multiple linear regression algorithm. Development method. The system used is the waterfall method and testing using black box testing. The rice harvest prediction system is an innovative solution that aims to accurately estimate rice harvest yields in Pagar Alam City.
PELATIHAN APLIKASI AXURE Sasmita; Asminah; Risnaini Masdalipa
JURNAL NGABDIMAS Vol. 7 No. 01 Juni (2024): NGABDIMAS (Pengabdian Pada Masyarakat)
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/ngabdimas.v7i01 Juni.275

Abstract

Tujuan dari pengabdian ini adalah untuk menambah pengetahuan, wawasan serta bisa membuat desain wireframes dan prototipe dengan menggunakan aplikasi axure pada mahasiswa kelas 4B Prodi Teknik Informatika. berdasarkan hasil observasi mahasiswa kelas 4b Prodi Teknik Informatika masih banyak mahasiswa belum mengetahui aplikasi axure. metode yang digunakan yaitu identifikasi kebutuhan dan pelaksanaan, identifikasi kebutuhan dilakukan studi literatur, kajian pustaka terkait materi, pelaksaan terdiri dari pengembangan wireframes dan prototipe sistem serta sosialisasi penggunaan aplikasi axure. Hasil dari kegiatan ini adalah dengan diadakanya pelatihan aplikasi axure menambah wawasan tentang aplikasi axuredan hasil pengukuran post test mahasiswa kelas 4B prodi teknik informatika 100% (20 orang) bisa menggunakan aplikasi axure.
IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI DALAM MENENTUKAN PERSEDIAAN OBAT Gesta Wulandari; Sasmita Sasmita; Fitria Rahmadayanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1270

Abstract

This study aims to enhance the efficiency of drug inventory management at UPTD Puskesmas Rawat Inap Bandar Kota Pagar Alam by applying the Apriori algorithm to analyze patient drug purchasing patterns. The dataset consists of 470 drug transactions from January to May 2023, with a minimum support of 12% and a minimum confidence of 10%. The research follows the CRISP-DM method, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Analysis using RapidMiner revealed several association patterns, such as patients who purchase ibuprofen 400 mg also tend to buy calcium lactate 500 mg with a confidence of 0.100, and patients who buy sanmol 500 mg also buy pyrantel pamoate tab scored 125 mg with a confidence of 0.122. Implementing this algorithm helps the health center manage drug inventory more effectively, reducing overstock and understock issues, and minimizing errors in drug data recording. The study concludes that the application of the Apriori algorithm is beneficial for identifying drug purchasing patterns, thereby improving the quality of healthcare services at the health center.
Co-Authors Alfis Arif Arif Alfis Asep Syaputra Asep Syaputra Asminah Barrorotul Azizah Buhori Muslim Buhori Muslim Dedi Setiadi Desi Puspita Desi Puspita Edowinsyah Eva Susilawati Febriansyah . Fitria Rahmadayanti Gesta Wulandari Inda Anggraini Inka Rizki Padya Lesi Anggraini Masdalipa, Risnaini Melza Yolanda Muntari, Siti Puspita, Desi Rony, Zahara Tussoleha Tri Susanti