Article Per Year (5 Year)
p-Index From 2020 - 2025
8.504
P-Index
This Author published in this journals
All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan ILKOM Jurnal Ilmiah Computer Based Information System Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL TIKAR JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Puan Indonesia Jurnal Sistim Informasi dan Teknologi Jurnal Desain dan Analisis Teknologi The Indonesian Journal of Computer Science Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Arnomo, Sasa Ani
Universitas Putera Batam
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

Published : 67 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search
Journal : Computer

 1   2 
RANCANG BANGUN SISTEM INFORMASI POINT OF SALE BERBASIS WEB Yanti, Chagu Hospita; Arnomo, Sasa Ani
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7669

Abstract

The development of the business world encourages companies to always try to improve the quality of products and services to consumers. Goods purchase services can be done electronically and can also be done online. The implementation of these business solutions is a commitment to increasing customer competitive advantage in terms of efficiency, effectiveness, performance, and business development. This study aims to design and develop a point of sale (POS) application to support a purchasing service system that can help CV Berdikari owners in data management. Making this POS application begins with collecting all the data needed using observation, interview, and literature study methods, designing Model Prototyping applications with application design tools in the form of flowcharts and Unified Modeling Language (UML) until the implementation of this POS application. With the implementation of this point of sales (POS) application, it can help users who are directly related to this POS application, especially customers, employees and owners in the process of managing reports and controlling their business activities.
RANCANG BANGUN SISTEM INFORMASI KELUHAN PADA RUSUN BP BATAM BERBASIS WEB Yanti, Srimau; Arnomo, Sasa Ani
Computer Science and Industrial Engineering Vol 9 No 4 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i4.7726

Abstract

ABSTRACT BP Batam is a government agency that manages flats in Batam City which are located at several points in each sub-district, this Batam City government program really supports low-income people because they are able to provide livable housing for flat residents at affordable prices, but there are several things that become obstacles for flat occupants, one of which is a citizen complaint information system which makes flat residents uncomfortable by submitting reports of damage that has occurred to each flat that must come to the flats office to report complaints, as well as flats. admin / staff who make a report every time there is damage. Therefore we need a system that can simplify and speed up occupants and flat workers in the process of reporting complaints, the system uses the PHP my Admin programming language and My SQL database with the prototyping method. The purpose of creating this system is to make it easier for BP Batam flat occupants to submit their complaints to the admin or flat employees. In addition to facilitating and speeding up the admin work process in reporting damage to flats managed by BP Batam.
ANALISIS PENGARUH KUALITAS LAYANAN APLIKASI MOBILE BANKING DAN PRODUK BANK TERHADAP KEPUASAN NASABAH UNITED OVERSEAS BANK INDONESIA DI BATAM Octavia, Ecca Yolanda; Arnomo, Sasa Ani
Computer Science and Industrial Engineering Vol 9 No 6 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i6.7869

Abstract

Bank services in physical or non-physical service clould be another strategy to win the attention of customer. The satisfaction from the customers is very highly important to establish since the industry is very competitive. UOB Bank is one of the private banks in Batam city that provide mobile banking application which called TMRW and it has several bank products like housing credit, credit cards, deposit and other financial product as well. Research here is conducted to explore the effect of the mobile application of the UOB called TMRW along with the product tha effect satisfaction of the customer. The researcher took random sample in this case with the regresseion method for the hypthesis test. The result of the researh showed the profile of the responden averagely has minimum 2 bank product on their possesion and 100% using the TMRW application. The Regression showed that partially the qualitity of the mobile application TMRW has effects to the customers satisfaction, the variabel of the Quality of bank product has effects for the customers satifaction. Simultaneously quality of the mobile app TMRW and Quality of the bank product has effects for the customers satisfaction
RANCANG BANGUN APLIKASI E-COMMERCE BERBASIS WEB PADA TOKO ZIFA BEAUTY Armilia, Puti Selvi; Sasa Ani Arnomo
Computer Science and Industrial Engineering Vol 10 No 3 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.8512

Abstract

Zifa Beauty is a business that offers a variety of skincare products and fragrances. Data processing in shop management is still done by hand. The aim of this research is to create a web-based e-commerce application for Zifa Beauty Store via design and development. The author employs the V-Model approach, which enables users to assess the system and documentation acceptability at the conclusion of the development phase. The outcomes showed that with an automated sales system, stores can easily track transactions made by specific customers. This information can help in recognizing customer preferences and buying habits, so that stores can provide more personalized and interesting services for customers, Structured transaction data can be used to conduct in-depth sales analysis. Store owners can view sales trends over time, identify best-selling products, and identify new business opportunities. Sales data recorded in the database allows stores to forecast future stock needs. Based on sales trends, stores can project the level of demand for a particular product and organize purchase orders more precisely.
IMPLEMENTASI DEEP LEARNING DENGAN TENSORFLOW UNTUK MENDETEKSI KUALITAS MATERIAL PADA DEPARTEMEN IQC Michael Nasib Jalverin Sinaga; Sasa Ani Arnomo
Computer Science and Industrial Engineering Vol 10 No 3 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.8525

Abstract

This research utilizes deep learning with tensorflow to enhance the efficiency of incoming quality control (iqc) in material quality inspection. iqc, As a critical stage in the production chain, ensures the quality of incoming materials and plays a significant role in the final product quality. However, iqc effectiveness is often hindered by issues of accuracy and inspection speed. the solution lies in an advanced approach, employing deep learning technology, especially with the use of the tensorflow framework. deep learning is applied for image segmentation, object detection, and material quality classification. The methodology involves cnn on tensorflow, expected to enhance accuracy and inspection efficiency. The objective is to generate an accurate model, reduce inspector involvement, and improve iqc efficiency. The implementation of deep learning is anticipated to create highly accurate models, speed up inspection processes, automate tasks, and reduce operational costs and human error risks. This research has the potential to provide a positive contribution to the advancement of material quality testing technology, making it more sophisticated, efficient, and effective, with a positive impact on final product quality and operational efficiency.
PENERAPAN KLASIFIKASI CITRA PADA IDENTIFIKASI OBJEK DENGAN PAKAIAN SAFETY MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DI PT JAYATAMA SAFETINDO. David Caslan Nababan; Sasa Ani Arnomo
Computer Science and Industrial Engineering Vol 12 No 2 (2025): Comasie Vol 12 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i2.9647

Abstract

Construction workers are essential to project execution but face high risks of workplace accidents, often caused by human factors. Advances in artificial intelligence, particularly image processing, provide opportunities to improve the detection of personal protective equipment (PPE), which is currently checked manually and inefficiently. PPE, such asgloves, helmets, and safety shoes, is vital for worker safety but is often neglected due to discomfort. This study uses Convolutional Neural Network (CNN) algorithms to classify images and verify PPE usage at construction sites. CNN processes spatial information through layers for feature extraction, dimension reduction, and classification. A previousstudy with Faster R-CNN achieved accuracies of 72.83% with TensorFlow and 88.07% with Faster R-CNN. Using a dataset of 200 images, this research, conducted at PT JAYATAMA SAFETINDO, applies Python and TensorFlow to improve PPE detection accuracy. The results aim to support safer workplaces, enhance productivity, and advance AI applications in safety and identification.
Co-Authors Amrizal Amrizal Andriani Pratiwi Arif Rahman Hakim Armilia, Puti Selvi David Caslan Nababan Deddy Deddy Dwi Ely Kurniawan Fajrin , Alfannisa Annurrullah Fifi Fifi Fifi, Fifi Frangky Silitonga Gaguk Rudianto Harman, Rika Hendra Hendra Heri Nuryanto, Heri Inzagia Pratama, Irnaldika Jabnabillah, Faradiba Jazuli Jazuli Johan, Faul Jumadril, Jumadril juppren, juppren Karnadi, Very Khisal Khisal Kremer, Hendri Laurence Marpaung, Chindy Marina Clara Mhd Adi Setiawan Aritonang Mhd. Johan Michael Ariestian Michael Nasib Jalverin Sinaga Momon Muzakkar Muhammat Rasid Ridho napitupulu, maida Nofriani Fajrah, Nofriani Nopriadi Nopriadi Novri Adhiatma, Novri Octavia, Ecca Yolanda Pradana, Ronaldo Baja Prasetya, Lorensius Bima Ade Rendy Rendy Ridho, Muhammat Rasid Sadikin , Siti Fairuz Nur Saputra, Vijay Andika Sherly Maisa Putri Sihombing, Rikardo Siti Halijah suwoto, Donna Olivia Syahril Effendi Tuhumena, Melva marsyah adella tukino, tukino Tukino, Tukino Ukas Ukas Vina Fariska wazir, indra Winda Evyanto Yanti, Chagu Hospita Yanti, Srimau Yuli Siyamto, Yuli yulia Yulia Yulia Yulia Yulia Yulia Yulia Yulia Zakrimal Zakrimal Zia Hisni Mubarak