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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Transformatika Jurnal Komtika (Komputasi dan Informatika) Jurnal ICT : Information Communication & Technology Aisyah Journal of Informatics and Electrical Engineering Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Teknologi Informasi dan Digital (TRIDI)
Rasim Rasim
Informatika, Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Other

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The Weighted Product Method and the Multi-Objective Optimization on the Basis of Ratio Analysis Method for Determining the Best Customer Mugiarso Mugiarso; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.6325

Abstract

The objective of this study is to compare the effectiveness of the Weighted Product (WP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods in determining the best customers. Onesnet, the case study service provider, provides discounts and rewards to eligible customers to support this objective. The problem addressed in this study is how to determine the most relevant method for selecting eligible customers for bonuses. To achieve this, sensitivity testing was conducted by altering the weights of each criterion in both methods and observing the percentage changes of the results. The Weighted Product method multiplies the rating of each connected attribute, which is raised to the appropriate attribute weight, to decide. Data for this study was collected through interviews and observations at Onesnet and processed using the Rank Order Centroid (ROC) method for weighting, and the WP and MOORA methods for evaluating and selecting a decision. The WP and MOORA methods produced different total values and rankings, but the modeling with either method can be used equally for selecting the best customers. While there was a 60% similarity in data between the two methods, the WP method is recommended over MOORA, as it prioritizes customers with high loyalty criteria as the best customers.
Sentiment Analysis of Application Reviews using the K-Nearest Neighbors (KNN) Algorithm Damar Wijati; Prima Dina Atika; Siti Setiawati; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9490

Abstract

Product reviews play a crucial role in evaluating user satisfaction and overall performance. Vidio, one of the over-the-top (OTT) media platforms, offers a wide range of entertainment content, including movies, TV shows, sports events, music shows, lifestyle programs, and more, accessible through its application. Users have the opportunity to provide reviews and feedback on their experience with the Vidio application. Therefore, this research was conducted to analyze user sentiment towards the Vidio application on the Google Play Store platform using the K-Nearest Neighbors (KNN) method. Data for sentiment analysis were randomly selected from the Vidio application based on the most relevant reviews. A total of 3,000 data were analyzed, with 2,238 data in the negative class, 508 data in the neutral class, and 254 data in the positive class. This research used the K-Nearest Neighbors (KNN) method for classifying reviews based on negative, neutral, and positive classes, and the Multiclass Confusion Matrix for model evaluation. With a data split of 70% for training data 30% for testing data, and several n_neighbors of 10 data, the results in an accuracy of 81.6%, precision of 79%, recall of 81.6%, and F1-Score of 77%.
Algoritma Levenshtein Distance sebagai Solusi Efisiensi Pencarian pada Training Registration System Iqbal Faris Akbar; Mugiarso; Khairunnisa Fadhilla Ramdhania; Rasim
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/mzr20n84

Abstract

The training registration process at Company XYZ faced several challenges, including the use of physical documents, slow file submission, non-standardized document numbering, and inefficient file storage. This research aimed to develop a web-based application called "Training Registration System" using the Waterfall software development method to address these issues, as well as implementing the Levenshtein Distance algorithm in the search feature to enhance training search efficiency. The results showed that the application successfully improved the efficiency and accuracy of the training registration and search process by eliminating the need for physical file submission, accelerating the workflow, and reducing the potential for errors. The implementation of the Levenshtein Distance algorithm also proved effective in improving the efficiency of training searches based on training names, even in cases of typos, such as the strings "Trainning" and "Training" which had a similarity score of 87.5% based on similarity weight calculations.
Algoritma SMART dalam Sistem Penilaian Karyawan Terbaik Berbasis Web Fitri Sukaesih; Mugiarso; Mukhlis; Rasim
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2nmc4618

Abstract

PT Sinar Perkasa Engineering is a leading engineering and manufacturing company that considers employee evaluation a critical component of human resource management. Manual evaluation processes are often time-consuming and prone to human error, potentially leading to inaccuracies in selecting the best employees. This study aims to design a decision support system based on the SMART algorithm to enhance the efficiency and accuracy of employee evaluations. The system was developed using the Waterfall model and designed with the Unified Modeling Language (UML). The results indicate that the implementation of a web-based decision support system significantly improves the speed and accuracy of the evaluation process, reduces the risk of human error, and provides a transparent and objective assessment tool. This research is expected to serve as a foundation for further development of decision support systems, either through collaborative efforts or by comparing alternative decision-making methods.
IMPLEMENTASI ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PRODUK TERLARIS PADA PANGKALAN SUDIAWATI BEKASI Dwipa Handayani; Achmad Noema; Rasim Rasim; Agus Hidayat; Hendarman Lubis
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2374

Abstract

Pangkalan Sudiawati Bekasi is a business engaged in household goods distribution with a central warehouse that stores various products. However, the sales data management process is still conducted manually through bookkeeping, which often leads to recording errors and difficulties in identifying the most demanded products. This issue results in ineffective decision-making regarding stock procurement, potentially causing losses due to unsold products. This study aims to design a sales data management system that can effectively identify best-selling products. The approach used in this research is the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology as a system development framework, combined with the K-Means Clustering algorithm to group sales data based on product demand levels. The results of this study indicate that the developed system is capable of classifying products into several categories, such as highly demanded, moderately demanded, and less demanded products. This classification assists Pangkalan Sudiawati in making more accurate decisions regarding inventory management and improving the efficiency of sales data processing.
IMPLEMENTASI JARINGAN WLAN DENGAN MANAJEMEN HOTSPOT DAN BANDWIDTH BERBASIS MIKROTIK PADA LABORATORIUM KOMPUTER FASILKOM UBHARA JAYA Muhammad Yasir; Agus Hidayat; Achmad Noeman; Asep Ramdhani Mahbub; Rasim Rasim; Robertus Suraji; Hendarman Lubis
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2390

Abstract

Laboratorium komputer Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya (Fasilkom Ubhara) sebelumnya bergantung pada jaringan hotspot dari provider ISP yang tidak dapat dikonfigurasi secara mandiri, sehingga tidak tersedia mekanisme pembatasan bandwidth, manajemen pengguna, maupun autentikasi akses yang memadai. Kondisi ini menyebabkan penggunaan bandwidth yang tidak terkontrol dan ketidakmampuan administrator dalam memonitor aktivitas jaringan. Penelitian ini bertujuan untuk mengimplementasikan infrastruktur jaringan WLAN mandiri berbasis MikroTik RouterOS yang dilengkapi dengan manajemen hotspot menggunakan captive portal dan pembatasan bandwidth melalui Simple Queue. Metode yang digunakan adalah Network Development Life Cycle (NDLC) yang mencakup tahapan analisis, desain, simulasi, implementasi, monitoring, dan manajemen. Hasil implementasi menunjukkan bahwa jaringan WLAN berhasil dibangun dengan konektivitas penuh ke internet (packet loss 0%, avg-rtt 1ms), pembatasan bandwidth efektif pada 5 Mbps upload/download per segmen jaringan dengan hasil speedtest mencapai 4,31 Mbps download dan 4,72 Mbps upload, serta sistem hotspot captive portal yang berfungsi dengan autentikasi berbasis username dan password melalui domain labsiber.com. Penelitian ini menyimpulkan bahwa implementasi MikroTik secara signifikan meningkatkan kontrol administrator terhadap jaringan laboratorium dibandingkan kondisi sebelumnya.
Pelatihan Manajemen Industri dan Jaringan Komputer di Balai Latihan Kerja Kompetensi Disnakertrans Provinsi Jawa Barat Agus Hidayat; Muhammad Yasir; Rasim; Muhammad Khaeruddin; Asep Ramdhani Mahbub; Mugiarso; Joniwarta
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 4 No. 1 (2026): Juni
Publisher : VINICHO MEDIA PUBLISINDO

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

Abstract

Kesenjangan kompetensi tenaga kerja di bidang manajemen industri dan jaringan komputer menjadi tantangan struktural yang dihadapi Balai Latihan Kerja (BLK) Kompetensi DISNAKERTRANS Provinsi Jawa Barat. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi peserta pelatihan melalui pendekatan pelatihan vokasional terintegrasi yang menggabungkan domain manajemen industri dan jaringan komputer dalam satu kerangka kurikulum yang koheren. Metode pelaksanaan menggunakan desain one-group pretest-posttest dengan instrumen asesmen kompetensi dan angket kepuasan berbasis model Kirkpatrick Level 1. Kegiatan diikuti 32 peserta aktif BLK yang dipilih melalui purposive selection. Hasil menunjukkan peningkatan rata-rata skor signifikan dari 44,53 menjadi 76,41 (t = 24,27; p < 0,001), dengan rata-rata N-Gain Score sebesar 0,574 (kategori sedang) dan tingkat kepuasan peserta sebesar 4,30 dari skala 5 (kategori sangat baik). Kegiatan ini menghasilkan modul pelatihan terintegrasi sebagai legacy output kelembagaan BLK untuk siklus pelatihan berikutnya. Kata Kunci: Pelatihan Vokasional, Manajemen Industri, Jaringan Komputer, BLK, Kompetensi Tenaga Kerja
Sistem Monitoring Kualitas Udara Ruang Kerja Berbasis IoT Menggunakan Sensor M-135 Rasim Rasim; Dwipa Handayani; Carudin Carudin; Achmad Noeman; Mugiarso Mugiarso
Jurnal Transformatika Vol. 24 No. 1 (2026): July 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v24i1.15264

Abstract

Indoor air quality monitoring is important in workplaces because hazardous gas exposure may occur without clear sensory indications. This study developed an Internet of Things based air-quality monitoring system by integrating an MQ-135 sensor, an ESP32 controller, an LED Matrix P10 local display, and the Ganesha16 web monitoring platform. The novelty lies in the simultaneous delivery of environmental information through a local public display and remote web access within one integrated architecture. The system was developed using the Prototype method, covering requirement analysis, system design, prototype implementation, functional testing, evaluation, and refinement. Continuous testing was conducted for three days in a workplace environment and produced 1,090 monitoring records. The mean Air Quality Index was 41.84, classified as good, while all five functional scenarios, including sensor reading, data transmission, LED Matrix display, web monitoring, and real-time communication, operated successfully. These results show that the proposed architecture can support accessible real-time indoor air-quality monitoring. However, because MQ-135 responds to several gases, the prototype is more appropriate as an early air-quality monitoring system than as a precision instrument for carbon monoxide concentration measurement.        
Co-Authors Achmad Noema Achmad Noeman Agus Hidayat Anida Nurmalisa Aryo Juliano Asep Ramdhani Asep Ramdhani Mahbub Carudin Carudin Damar Wijati Dwipa Handayani Dwipa Handayani Fitri Sukaesih Hantoro, Kusdarnowo Hendarman Lubis Hendarman Lubis Herlawati Herlawati Iqbal Faris Akbar Irsyad Rawinto Joniwarta Khairunnisa Fadhilla Ramdhania Krisna Dimas Pujiono M. Hadi Prayitno Mugiarso Mugiarso Mugiarso Mugiarso Muhammad Khaeruddin Muhammad Khaerudin Muhammad Yasir Mukhlis Oriza Sativa Dinauni Silaen Prima Dina Atika Robertus Suraji Siti Setiawati Sugiyatno Sugiyatno