Article Per Year (5 Year)
p-Index From 2021 - 2026
1.704
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pelita Pengabdian SAINTEK
Isarianto
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : SAINTEK

 1 
Pengujian Sistem Informasi Kontrol Stok Barang Pendukung Produksi Berbasis Web Dengan Metode User Acceptance Testing (UAT) Pada PT. Tenma Cikarang Indonesia Isarianto; Rina Patmawati
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An information system is one of the most essential components within a company. By implementing an information system, a company can ensure the quality of the information produced and make decisions based on that information. PT. Tenma Cikarang Indonesia is a company engaged in the production of plastic injection molds and molding. One of the main weaknesses in the current stock control system at PT. Tenma Cikarang Indonesia is the lack of visibility and accuracy in managing supporting production inventory. Without a computerized system, the company often faces difficulties in tracking available stock, updating depleted items, and anticipating customer demand. In response to these issues, a supporting production inventory control information system was designed to assist the warehouse department in managing item data. This system is web-based and was developed using the waterfall method, with PHP as the programming language and MySQL as the database. Testing was conducted using the User Acceptance Testing (UAT) method. The resulting system is capable of providing information on item data, goods receipt, goods issuance, and generating transaction reports that are useful for users.
Implementasi Metode Local Binary Pattern (LBP) Dan K-Nearest Neighbor (K-Nn) Pada Sistem Berpakaian Di Prodi Teknik Informatika Universitas Pelita Bangsa Isarianto; Helmi Ahmad Fauzi Candra
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The student code of ethics is a set of rules that regulate students' attitudes, words, actions, appearance, and clothing while they are students. Pelita Bangsa University students also follow the development of fashion trends from fashion developments every year, which will have an impact on the dress code of ethics for students of the Pelita Bangsa University Faculty of Engineering. Dressing neatly and politely means wearing formal clothes when participating in campus activities. Several lecturers require wearing formal (collared) clothing when participating in learning activities. Research has been proposed to detect clothing using the Local Binary Pattern (LBP) method with the K-Nearest Neighbor (KNN) classification. 130 images were used with a composition of 70 images of t-shirts and 60 images of shirts. This system is used to detect t-shirts and shirts. A system will be designed to detect shirts that focus on Pelita Bangsa University students using the Local Binary Pattern (LBP) and K-Nearest Neighbor (KNN) methods as classifiers. It is hoped that the results of testing this research can get better accuracy than previous research. This accuracy was obtained from testing 130 images using the Lbp extraction method with values of R=1 and P=8, in addition to the KNN classification with values of K=1 and Euclidean distance parameters.
Implementasi Metode Forward Chaining Untuk Mendiagnosa Penyakit Tumor Otak Isarianto; Melinda Indriani
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Expert systems can assist people in conducting early disease diagnosis by simulating expert knowledge in answering questions and providing solutions. This web-based application enables users to obtain analysis results regarding appropriate treatment and necessary medical actions based on their symptoms. At Central Medika Hospital, consultations are limited to specific doctor practice hours and involve relatively high fees. As a result, patients experiencing symptoms such as severe headaches resembling brain tumor indications outside practice hours must wait for examination, potentially delaying treatment. To address this issue, a brain tumor diagnostic expert system was developed using a rule-based approach with the Forward Chaining algorithm. The system was built using the Waterfall development method, with MySQL as the database and PHP and HTML as the programming languages. The research involved two types of testing: functional testing using Black-box testing and accuracy testing of the Forward Chaining calculations. The results showed that the system functioned very well, and the accuracy test achieved a result of 100%, indicating that the system’s diagnostic conclusions were fully consistent with the predefined rules.
Co-Authors Abdul Ghofir Abdul Latif Ahmad Fauzi Ahmad Turmudi Zy Alhadi Saputra Andhika Sardi, Sophian Anggi Muhammad Rifa'i ARIF SUSILO Dedi Afandi Hadapi Akhbar, Ahmad Handala Simetris Harahap Helmi Ahmad Fauzi Candra Juariah, Sit Melinda Indriani Mustafanah, Alif Nugroho, Agung Restu Kurnia, Ira Rina Patmawati Rini Setyowati, Rini Rozikin, Zaenur Ruwaida, Gina Asri SUPRAPTO Turmudi Zy, Ahmad Zakiatul, Zulfa Hidayah