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All Journal Jurnal Ilmiah KOMPUTASI Jurnal Ilmiah Matrik Jurnal Teknik dan Science (JTS) Jurnal Penelitian Rumpun Ilmu Teknik Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Isram Rasal
Universitas Gunadarma
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Rancangan Sistem Penunjang Keputusan Untuk Promosi Jabatan Menggunakan Metode SAW: Array Eva Utari Cintamurni Lubis; - Karmilasari; Isram Rasal
Jurnal Ilmiah Komputasi Vol. 19 No. 3 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 3, September 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.3.56

Abstract

Salah satu kunci kesuksesan suatu perusahaan tidak terlepas dari peran sumber daya manusia di dalamnya. Salah satu bentuk kegiatan yang berhubungan dengan SDM perusahaan adalah kegiatan promosi jabatan. Penelitian ini bertujuan untuk membangun sistem penunjang keputusan yang dapat digunakan dalam proses promosi jabatan. Dalam melaksanakan proses promosi jabatan, dibutuhkan informasi yang cepat dan akurat mengenai data pegawai yang akan dicalonkan. Sistem informasi kepegawaian yang telah ada, dimodifikasi sehingga dapat digunakan untuk proses promosi jabatan. Hasil penelitian ini adalah sebuah sistem penunjang keputusan untuk promosi jabatan menggunakan metode Simple Additive Weighting
PENERAPAN ALGORITMA NAIVE BAYES DAN SVM UNTUK ANALISIS SENTIMEN BOY BAND BTS PADA MEDIA SOSIAL TWITTER Rina Noviana; Isram Rasal
Jurnal Teknik dan Science Vol. 2 No. 2 (2023): Juni : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v2i2.791

Abstract

BTS or Bangtan Sonyeondan is one of the vocal groups originating from South Korea, which is currently popular among Indonesian teenagers, resulting in many fans providing positive and negative comments through Twitter social media. The method used to determine whether these comments are positive or negative is by conducting sentiment analysis. The stages to perform data analysis are Preprocessing to clean the data, word weighting, labeling data into positive and negative classes, classification, and data visualization using pie charts. In this study, Naive Bayes and Support Vector Machine, were used for comparison, result of an accuracy score is 79% for Naive Bayes and 81% for Support Vector Machine. Among these two methods, Support Vector Machine achieved a higher accuracy score, and the sentiment analysis revealed that the comments obtained from Twitter users are predominantly positive.
Implementasi Digital Marketing Pembuatan Website Penjualan Dengan Metode Agile: (Studi Kasus: Danisty Olshop) Rina Noviana; Winarti; Devi Indriani; Dewi Andryani; Kartika Nor Ramadha; Isram Rasal; Rifki Amalia; Aryo Pangestu
Jurnal Ilmiah Matrik Vol. 28 No. 1 (2026): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/64vjx670

Abstract

Danisty Olshop is a shop that sells vehicle cleaning products through various e-commerce platforms and social media. This research is motivated by the need to increase operational efficiency and increase the competitiveness of digital marketing which is able to reach wider customers through the creation of sales websites. The aim of this research is to create a responsive e-commerce platform that supports effective digital marketing strategies in the form of a website, using Agile methods that allow continuous adjustment according to user needs. The website uses PHP programming and a MySQL database. The website is designed for two users, namely the user as a customer who purchases products and the admin as a seller who has access to manage products and monitor transactions. The results of the implementation and trial of the website that have been created meet expectations and are ready to be accessed via the link https://danistyolshop.my.id/. The application of the Agile method during the manufacturing process provides high flexibility and responsiveness according to user needs, so that implementing an integrated digital marketing strategy can expand market reach and increase sales significantly
Perancangan Front End Tampilan Aplikasi Pendeteksi Sayuran Berbasis Android Maulana Mahessar; Isram Rasal
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 4 (2025): Juli: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i4.1008

Abstract

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.
Pembuatan Website Adopsi Hewan Khusus Kucing dan Anjing Menggunakan Laravel Yovan Fajar Nurizal; Isram Rasal
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 2 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4878

Abstract

The purpose of this website development is to assist and provide effectiveness in increasing public awareness regarding animal care practices, as well as to facilitate shelters in presenting information on stray animal adoption. Additionally, this website also facilitates donations that will be used to provide health services to stray animals. This platform also functions as a promotional medium for animal-related events, such as adoption events, education, and socialization of proper animal care. Through these features, it is expected that a better relationship can be created between the community and shelters, and that more stray animals can obtain decent housing and necessary care. Website testing was conducted using the black box testing method, where all functionalities were tested without looking at the internal code. Based on the test results, all systems were declared to function properly according to the expected specifications. The development method for this website uses the SDLC (System Development Life Cycle), which consists of several main stages, namely: the planning stage where the system's objectives and needs are identified, the analysis stage that focuses on user needs, the design stage where the interface and system structure are developed, and the implementation and testing stage, which involves website creation, testing, and improvements based on the test results. By following the SDLC method, the website is expected to run optimally and meet user needs.
Co-Authors Aryo Pangestu Dewi Andryani Eva Utari Cintamurni Lubis Karmilasari Kartika Nor Ramadha Maulana Mahessar Rifki Amalia Rina Noviana Winarti Yovan Fajar Nurizal