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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

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Journal : Computer Based Information System Journal

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PENERAPAN METODE MACHINE LEARNING DALAM MENGIDENTIFIKASI BERITA HOAKS Saputra, Vijay Andika; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.8442

Abstract

In the era of increasingly developing digital information, hoax or fake news is a serious challenge that can influence people's perceptions and decisions. This research aims to develop a hoax news detection method using a machine learning approach on news data. The focus of this research is to identify related hoax news. This research involves collecting news data from leading online news sources and applying machine learning algorithms, including Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest, to classify hoax news. Model performance is measured using accuracy, precision, recall and F1-score metrics, with test results compared with human evaluations that have been trained to recognize hoax news. The results of this research show that the machine learning approach can be successfully used to identify hoax news with a high level of accuracy. However, this study also identified limitations in this approach, such as limited training data and language complexity. Nevertheless, this research makes an important contribution in efforts to overcome the problem of hoax news and provides a basis for further development in hoax news detection using machine learning technology.
PEMANFAATAN ALGORITMA C4.5 UNTUK MENENTUKAN BONUS TAHUNAN Johan, Faul; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.2080

Abstract

Umano Vero Store is one of the stores that sells sales of bags, shoes, sandals, belts and wallets located in Batam, Indonesia. In the year 2019, known  in the store Umano vero in determining the annual bonus to employees still not even evenly,  employees at the store Umano Vero not satisfied with the annual bonus they received so that this problem raises less employee performance, employee discipline, and employee loyalty to the store Umano Vero.So the author performs analysis in the utilization of algorithm C4.5 to determine the annual bonus on the store Umano Vero. In the implementation of research, the authors perform methods or techniques of data mining using decision tree Classification or decree tree as well as algorithm type C4.5 done by manually calculation and also use Weka application version 3.9.2. Results of calculations and tests, the author also argues that from the process of utilization of  algorithm C4.5 in determining the annual bonus  that is done turns out to be sufficiently large influenced by some attributes of the annual bonus variable, namely the target attribute, the presence attribute  and  the work period attributes.
ANALISIS QOS VIDEO STREAMING JARINGAN WIRELESS (STUDI KASUS: TAMAN INTERNET ENGKU PUTRI BATAM) Nopriadi, Nopriadi; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.2431

Abstract

The increasing number of internet users in Indonesia has an impact on increasing the number of users of streaming video. The increase in the number of users is based on technological developments with the emergence of mobile devices such as notebooks, tablets and smartphones equipped with internet access via wireless networks. Unlike networks using cables, the characteristics of using video streaming over wireless networks are limited when compared to those using cables. To access various applications on the internet, including video streaming, a stable internet service is needed. For this reason, a Quality of Service (QoS) measurement research is needed which is carried out at one of the wireless network provider points in the city of Batam, namely Taman Internet Engku Putri. QoS can be used to measure and analyze the stability and quality of a wireless network. The parameters used in the measurement and analysis of QoS are Throughput, Delay, Jitter and Pakect Loss which will be tested on video streaming services. The test will be carried out at certain times such as peak hours and low hours. Low hours usually range from 08.00 WIB - 15.00 WIB and rush hour usually ranges from 15.00 WIB - 21.00 WIB. The results of measurement and analysis using four QoS parameters show that the video streaming service using wireless networks in Taman Internet Engku Putri is in the medium category.
IMPLEMENTASI ALGORITMA C4.5 DALAM PENENTUAN POLA PEMBELIAN PELANGGAN Tukino, Tukino; Arnomo, Sasa Ani; Hakim, Arif Rahman
Computer Based Information System Journal Vol. 10 No. 2 (2022): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v10i2.6537

Abstract

PT Sumber Alfaria Trijaya Tbk atau yang lebih dikenal dengan Alfamart merupakan salah satu perusahaan yang bergerak dibidang ritel yang mana perusahaan ini setiap harinya harus memenuhi kebutuhan konsumen. Selain itu, peletakan produk pada rak yang tidak sesuai dengan kebiasaan konsumen saat membeli produk secara bersamaan dalam satu waktu. Hal ini menyebabkan kekecewaan pada konsumen yang tidak dapat memenuhi kebutuhannya. Maka dari itu perusahaan harus mencermati pola pembelian yang dilakukan oleh konsumen. Untuk mengetahui produk yang dibeli secara bersamaan, menggunakan association rule (aturan asosiasi) yaitu teknik Data Mining  untuk menemukan aturan asosiasi suatu kombinasi item. Proses pencarian asosiasi menggunakan metode algoritma C4.5 yang dapat menghasilkan pengetahuan yang terkandung dalam data transaksi pelanggan, mengenai pola pembelian oleh konsumen. Berdasarkan hasil perhitungan algoritma C4.5 yang memenuhi syarat nilai minimum confidence dan diuji dengan software Tanagra, pada toko Alfamart rule tertinggi yang muncul pada produk Kunci Mas Minyak Goreng Pch 1,8l dan Sedap Mie Kari Special 75G dengan nilai Support 43,3% dan confidence 92,8%, hal ini sama dengan perhitungan manual algoritma C4.5. Maka dapat dilakukan pengaturan tata letak produk secara berdekatan untuk memudahkan keberadaan produk tersebut dan memudahkan dalam menentukan persediaan produk promo yang diinginkan konsumen serta dapat digunakan sebagai pendukung keputusan manajer dalam mengelola aktifitas perusahaan.
Rancang Bangun Sistem Informasi Warga Puri Agung Berbasis Web Halijah, Siti; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 11 No. 1 (2023): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v11i1.6729

Abstract

Puri Agung merupakan salah satu pemukiman warga di Piayu kota Batam, dan ketua RT merupakan salah satu pihak yang berperan langsung ke warga, sebagai pihak yang berperan langsung ke warga dibutuhkan pelayanan yang dapat memudahkan warga dalam keperluan administrasi dan pembayaran iuran warga yang dimana pelayanan itu dilakukan dengan pencatatan tangan, yang menggunakan kertas dan pencatatan secara manual dalam pendataannya serta dalam penyampaian informasi warga ke ketua RT harus mendatangi rumah ketua RT yang dimana sering terjadi tidak selarasnya waktu antara RT dan warga, ini menyebabkan terkendalanya penyampaian keperluan yang ingin disampaikan warga ke RT . Sehingga diperlukan sebuah sistem yang bisa membantu ketua RT dan warga dalam melakukan pelayanan administrasi dan pembayaran iuran warga. Sistem ini berfungsi untuk memudahkan proses penyampaian informasi warga ke perangkat RT yang itu juga menggunakan bahasa pemrograman PHP dan CodeIgniter dengan metodologi penelitian menggunakan Unified Modelling Language (UML). Tujuan sistem ini adalah untuk memberikan informasi yang independen, cepat, dan tepat waktu sehingga warga biasa dapat menanggapi pihak berwenang tanpa masalah.
CLUSTERING DALAM MENENTUKAN TINDAK LANJUT HASIL ANNUAL CHECK MENTAL HEALTH DENGAN ALGORITMA K-MEANS Prasetya, Lorensius Bima Ade; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 13 No. 1 (2025): Jurnal CBIS
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v13i1.9564

Abstract

Addressing mental health issues has become a priority for the Indonesian government due to the rising prevalence of depression and anxiety, especially in Riau Archipelago Province, which reported as one of the provinces with the highest suicide rates in the country. The World Health Organization has pointed out the deficiencies in data collection, reporting, and knowledge management related to mental health. PT XYZ has collected mental health data through annual medical check-ups utilizing the DASS-21 scale, but this data has not been analyzed to extract useful and actionable insights for management. This research aims to profile the mental health of PT XYZ workers using annual medical check-up data from June to September 2023, involving a total of 3,699 workers. By implementing the K-Means clustering algorithm based on three variables—depression, anxiety, and stress—the analysis revealed that 242 workers were identified in a cluster with severe mental health conditions, 1,271 in a cluster with moderate conditions, and the remaining 2,186 with mild conditions in a cluster.
RANCANG BANGUN APLIKASI RENTAL PERANGKAT ELEKTRONIK BERBASIS MERN Michael Ariestian; Sasa Ani Arnomo
Computer Based Information System Journal Vol. 13 No. 1 (2025): Jurnal CBIS
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v13i1.9631

Abstract

The rapid increase in the demand for flexible and economical access to electronic devices has made electronic device rental services an increasingly popular solution. However, these services still face various challenges, such as limited access to information, manual rental processes, and inefficient payment systems. This study aims to design and develop an electronic device rental application based on the MERN stack (MongoDB, Express.js, React.js, Node.js) integrated with a payment gateway to enhance operational efficiency and user experience. The software development method used is Scrum, which enables rapid iteration through a series of sprints, from user interface design to implementing core features such as inventory management, online booking, and integrated online payments. The development results demonstrate that the application can provide a more structured system for device management, information transparency, and fast and secure transactions. This study contributes an innovative web-based rental system and serves as a reference for the development of similar applications in the future. With its offered features, this application is expected to improve access to electronic devices, support societal needs, and foster the growth of the electronic device rental industry in Indonesia..
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