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All Journal Jurnal Darma Agung Jurnal Manajemen Informatika Jayakarta IICS Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Penelitian Ilmu Sosial dan Eksakta VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Journal of Informatics and Information Security IKRAM: Jurnal Ilmu Komputer Al Muslim Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Agus Hidayat
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences

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ANALYSIS OF THE INFLUENCE OF LEADERSHIP AND WORK MOTIVATION OF OFFICIALS ON THE QUALITY OF HEALTH SERVICES FOR HEALTHY INDONESIA CARD USERS IN DEPOK CITY Ismaniah Ismaniah; Tyastuti Sri Lestari; Agus Hidayat
JURNAL DARMA AGUNG Vol 31 No 2 (2023): APRIL
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Darma Agung (LPPM_UDA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/ojsuda.v31i2.2828

Abstract

This research is motivated by service problems for Healthy Indonesia Card users in Depok City. Service quality problems are thought to be caused by ineffective leadership and low employee motivation. This research only focused on the variables of leadership, work motivation and service quality. This study aims to determine the effect of leadership and work motivation on service quality for Healthy Indonesia Card users in Depok City, either partially or collectively. The sampling technique in this study was proportional stratified random sampling with a total sample of 286 respondents. This research method is a quantitative method with regression analysis. Data collection techniques using documentation, questionnaires and literature study. Research data collection tool is a questionnaire based on a Likert scale. The data analysis technique uses simple and multiple linear regression analysis. The results prove that leadership and work motivation are proven positive and significant to service quality partially or collectively.
Sentiment Analysis of Bjorka Hacker Using the Naive Bayes and C.45 Algorithms Wowon Priatna; Eka Nur A’ini; Joni Warta; Agus Hidayat; Tyastuti Sri Lestari; Rasim
IAIC International Conference Series Vol. 4 No. 1 (2023): SEMNASTIK 2023
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v4i1.614

Abstract

 In 2023, Indonesia was again devastated by a hacker known as Bjorka. Bjorka did not act just once or twice; every time, Bjorka made the entire Indonesian population proud. The 19 million BPJS Employment data belonging to the Indonesian people that Bjorka hacked is the BPJS Employment data belonging to the Indonesian people that Bjorka hacked. Since the release of the Bjorka story, there has been a surge in the number of people criticizing it on social media, particularly Facebook, so the criticism or opinions can be used to conduct sentiment analysis. Based on this, developing a method that can automatically classify beliefs into positive and negative categories through sentiment analysis is necessary. The sentiment analysis process begins with data preprocessing, followed by keyword analysis using the TF-IDF method, algorithm development, and analysis of classification results. The data classification methods used in this study are Naive Bayes and C4.5. The data will be analyzed using text mining and classified using the Naive Bayes and C4.5 algorithms. Based on the results of the tests, the best classification was achieved by Nave Bayes, with a score of 70 percent for the C4.5 algorithm and 68 percent for the C4.5 algorithm. The Nave Bayes algorithm can predict up to 70% data transmission rates for both positive and negative signals.
PENGARUH PENGAWASAN DAN PROFESIONALISME TERHADAP KINERJA INSPEKTUR BANDAR UDARA PADA DIREKTORAT BANDAR UDARA DIREKTORAT JENDERAL PERHUBUNGAN UDARA KEMENTERIAN PERHUBUNGAN Rahman, Arif; Hidayat, Agus
JURNAL DARMA AGUNG Vol 32 No 2 (2024): APRIL
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Darma Agung (LPPM_UDA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/ojsuda.v32i2.4220

Abstract

Penelitian ini dilatarbelakangi adanya masalah kinerja Inspektur Bandar Udara pada Direktorat Bandar Udara Direktorat Jenderal Perhubungan Udara Kementerian Perhubungan. Masalah kinerja tersebut, di sebabkan kurang efektifnya pengawasan dan rendahnya profesionalisme. Tujuan dari penelitian adalah untuk mengetahui pengaruh pengawasan dan profesionalisme terhadap kinerja Inspektur Bandar Udara pada Direktorat Bandar Udara Direktorat Jenderal Perhubungan Udara Kementerian Perhubungan baik secara parsial maupun bersama-sama. Teknik penarikan sampel menggunakan total sampling sebanyak 142 orang. Metode penelitian ini adalah metode kuantitatif dengan analisis regresi. Teknik pengumpulan data menggunakan teknik dokumentasi, kuesioner dan studi pustaka. Statistik dekriptif, uji validitas dan reliabilitas, serta hipotesis analisis data penelitian ini. Hasil penelitian menunjukkan pengawasan dan profesionalisme terbukti secara positif dan nyata berpengaruh terhadap kinerja secara parsial maupun secara bersama-sama. Pertama, terdapat pengaruh positif dan nyata pengawasan terhadap kinerja sebesar 73,3%. Kedua, terdapat pengaruh positif dan nyata profesionalisme terhadap kinerja sebesar 67,7%. Ketiga, terdapat pengaruh positif pengawasan dan profesionalisme secara bersama-sama terhadap kinerja sebesar 72,9%. Sebagai simpulan dari penelitian ini adalah bahwa kinerja Inspektur Bandar Udara pada Direktorat Bandar Udara Direktorat Jenderal Perhubungan Udara Kementerian Perhubungan dapat dicapai melalui efektifnya pengawasan dan tingginya profesionalisme.
IMPLEMENTASI ALGORITMA RANDOM FOREST DALAM SISTEM SELEKSI KARYAWAN TERBAIK UNTUK MENINGKATKAN EFEKTIVITAS KEPUTUSAN DI PT. XYZ Achmad Noe'man; Agus Hidayat; Nadhif Yogaswara; Dwipa Handayani; Prio Kustanto; Dian Hartanti
Jurnal Manajamen Informatika Jayakarta Vol 5 No 3 (2025): Jurnal Manajemen Informatika Jayakarta ( JMI Jayakarta)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v5i3.2081

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) dalam proses seleksi karyawan terbaik di PT. XYZ menggunakan algoritma Random Forest. Permasalahan utama yang dihadapi perusahaan adalah proses penilaian karyawan yang masih dilakukan secara manual melalui Microsoft Excel, sehingga rawan terhadap kesalahan perhitungan, duplikasi data, serta memerlukan waktu yang lama untuk menentukan karyawan berprestasi. Untuk mengatasi hal tersebut, penelitian ini mengusulkan penerapan sistem berbasis web yang terintegrasi dengan model klasifikasi machine learning guna meningkatkan efisiensi dan objektivitas proses evaluasi. Metode penelitian yang digunakan meliputi tiga tahap pengumpulan data, yaitu studi pustaka, observasi, dan wawancara. Proses pengembangan sistem dilakukan menggunakan model Software Development Life Cycle (SDLC) dengan pendekatan Waterfall, yang mencakup tahapan perencanaan, analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil implementasi menunjukkan bahwa sistem mampu menampilkan hasil penilaian karyawan berdasarkan empat kriteria utama: kedisiplinan, kinerja, sikap kerja, dan keahlian, yang kemudian diolah menggunakan algoritma Random Forest untuk menentukan peringkat akhir. Hasil pengujian menunjukkan bahwa penerapan metode Random Forest memberikan tingkat akurasi yang tinggi dalam proses klasifikasi dengan nilai akurasi mencapai 91,2%, serta menghasilkan peringkat karyawan yang konsisten dengan hasil evaluasi HRD. Sistem ini juga dilengkapi dengan antarmuka pengguna yang sederhana dan informatif, yang memudahkan admin, HRD, dan karyawan dalam mengakses informasi sesuai hak akses masing-masing. Secara keseluruhan, penerapan algoritma Random Forest dalam sistem pendukung keputusan ini terbukti efektif dalam meningkatkan kecepatan, objektivitas, dan transparansi proses penilaian karyawan di PT. XYZ.
Analisis Sentimen Ulasan Produk Sneakers Lokal Pada Tokopedia Menggunakan Algoritma Naïve Bayes dan Support Vector Machine I Komang Arya Trisumeikra; Herlawati Herlawati; Agus Hidayat
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5wew3w31

Abstract

transformation in various sectors, including the fashion industry, especially sneakers. Sneakers are now a symbol of modern lifestyle and global trends, with brands such as Nike and Adidas dominating the market. However, high prices are an obstacle for many Indonesian consumers. This opens up opportunities for local brands to offer quality products at affordable prices through e-commerce such as Tokopedia, the second highest traffic platform in Indonesia. The research analyzed sentiment from 1,032 consumer reviews of local sneakers from five stores: NAH Project, Aerostreet, Geoff Max, Ventela, and Brodo. The analysis was conducted using Naïve Bayes and Support Vector Machine (SVM) algorithms. The SVM evaluation results produced the highest accuracy of 98%, compared to Naïve Bayes which reached 96%. This best model is implemented in a web-based application to analyze the sentiment of new reviews, to assess the perceived quality and consumer satisfaction of local sneakers products on Tokopedia.
Sistem E-Payroll pada Karyawan Yayasan Pendidikan Islam An-Nadwah Menggunakan Algoritma Advanced Encryption Standard (AES) Berbasis Web Linda Fitriyani; Dwipa Handayani; Tyastuti Sri Lestari; Agus Hidayat
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 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/n7qt5a13

Abstract

The rapid development of information technology encourages educational institutions to improve efficiency and security in administrative management, including payroll systems. This research aims to design a web-based E-Payroll system implemented at the Islamic Education Foundation An-Nadwah by applying the Advanced Encryption Standard (AES) algorithm to ensure the confidentiality of employee salary data. The system was developed using the Rapid Application Development (RAD) method to enable fast and user-responsive development. The implementation results show that the system can effectively encrypt and decrypt salary data, as well as provide real-time and secure payroll reports. System testing using the blackbox method demonstrates that all system functionalities work as expected. This system is expected to enhance efficiency, accuracy, and security in the payroll process within the foundation.
Sistem Informasi Pengarsipan Berbasis Web Mengunakan Algoritma Levenshtein Distance achmad noeman; Agus Hidayat; Arif R. Dwiyanto; Mohammad Hoki Rezky
Jurnal Riset Informatika dan Teknologi Informasi Vol 3 No 2 (2026): Desember 2025 - Maret 2026
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v3i2.225

Abstract

This study proposes the development of a web-based archiving information system at PMI Jakarta City, supported by the Levenshtein Distance algorithm as the core feature for document retrieval. The system is designed to overcome the limitations of manual archiving methods, such as restricted search capabilities, potential recording errors, and the risk of losing physical records. By adopting the Waterfall approach, the research was conducted through several stages: requirements analysis, interface design, implementation, and system testing. The results demonstrate that the Levenshtein Distance algorithm effectively improves the accuracy of document searches, even when spelling variations or typographical errors occur in the query. This makes the system more adaptive and efficient compared to traditional manual methods. Furthermore, the implementation of a web-based system reduces reliance on physical archives, enhances storage security, and accelerates information access. Overall, the developed system provides a practical and modern solution to support document management at PMI Jakarta City.
Pendeteksian dan Klasifikasi Sampah pada Bank Sampah Berbasis Web Menggunakan YOLOv11 Marsyanda Salsa Nabila; Herlawati Herlawati; Agus Hidayat
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/r5me0z35

Abstract

The problem of poorly managed household waste management can increase the burden on the environment and reduce the effectiveness of recycling. Waste banks in general still rely on manual systems in sorting waste which is prone to errors and requires more labor. This research aims to develop a web-based waste detection and classification system using the You Only Look Once (YOLO) version 11 yolov11n (nano) method. The research method included downloading the main secondary dataset named R1 Test version 15 from the Roboflow Universe platform, collecting other secondary datasets from internet scraping and manual photography, which resulted in a total of 27,400 images of trash with nine different types, namely bottle, cans, cardboard, cup, foil, food, paper, paper_bag, and plastic.The results show that the yolov11n model is able to detect objects with sufficient accuracy and light computational resources by producing a precision value of 91,7%, recall of 89%, mAP50 of 93,2% and mAP50-95 of 75,8% in all classes. The best model results obtained are integrated into the web using the flask framework.
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.
Co-Authors Achmad Noe'man Achmad Noema Achmad Noeman Alexander, Allan D Arif R. Dwiyanto Arif Rahman Asep Ramdhani Mahbub Dian Hartanti Dimas Permadi Dwipa Handayani Eka Nur A’ini Hendarman Lubis Herlawati Herlawati I Komang Arya Trisumeikra Ismaniah Ismaniah Ismaniah Ismaniah Joni Warta Joniwarta Kustanto , Prio Linda Fitriyani Marsyanda Salsa Nabila Mohammad Hoki Rezky Mugiarso Muhammad Khaeruddin Muhammad Khaerudin Muhammad Yasir Nadhif Yogaswara Priatna , Wowon Rasim Rasim Rasim Robertus Suraji Tyastuti Sri Lestari Tyastuti Sri Lestari Tyastuti Sri Lestari Warsito Warsito