Article Per Year (5 Year)
p-Index From 2020 - 2025
8.895
P-Index
This Author published in this journals
All Journal JIK Jurnal Ilmu Komputer Jurnal Simetris Majalah Geografi Indonesia JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat AbdiMas Aptisi Transactions on Technopreneurship (ATT) Jurnal Mantik Jurnal Abdimas Madani dan Lestari (JAMALI) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal Sensi: Strategic of Education in Information System Jurnal Algoritma, Logika dan Komputasi Jurnal Ilmu Komputer dan Informatika Journal of Social Research Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal of Accounting Research, Organization and Economics (JAROE) Eduvest - Journal of Universal Studies Jurnal Ekonomi, Teknologi dan Bisnis Media Abdimas Jurnal Pengabdian Masyarakat Bangsa Infact: Jurnal Sains dan Komputer Asian Journal of Social and Humanities INOVTEK Polbeng - Seri Informatika
Widodo, Agung Mulyo
Universitas Esa Unggul
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

Published : 73 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 73 Documents
Search

 1   2   3   4   5 
Implementasi Flutter Pada Aplikasi Presensi Karyawan Berbasis Mobile Nixon Erzed; Nizirwan Anwar; Agung Mulyo Widodo; Eko Prasetyo; Kundang Karsono Juman
ikraith-informatika Vol 6 No 3 (2022): IKRAITH-INFORMATIKA Vol 6 No 3 November 2022
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v6i3.2211

Abstract

Penggunaan teknologi informasi dalam kehidupan sehari-hari sudah tidak dapat dihindari. Selainuntuk mempermudah aktivitas-aktivitas manusia, teknologi informasi sudah menjadi standar perusahaanuntuk menunjang segala proses bisnisnya. Salah satu contoh penerapan teknologi informasi di lingkunganperusahaan adalah penggunaan aplikasi mobile untuk mendukung para karyawan dapat dengan mudahmelakukan presensi yang berbasis lokasi / Global Positioning System (GPS). PT Railink merupakan salahsatu anak perusahaan dari PT. Kereta Api Indonesia (Persero) yang bisnisnya bergerak pada layananangkutan penumpang dari dan menuju bandara. Di internal PT. Railink ditemukan masalah terhadap datapresensi karyawan yang disebabkan oleh keterbatasannya lokasi untuk melakukan presensi yang masihketergantungan pada perangkat mesin sidik jari, sehingga data presensi tidak sepenuhnya dapat dijadikanacuan sebab sebagian karyawan tidak tertib melakukan presensi, Dengan adanya permasalahan tersebut,maka PT. Railink melakukan inovasi dengan membuat aplikasi presensi berbasis mobile yang dapatdijalankan pada ponsel pintar / smartphone yang diberi nama Airport Railways Mobile Attendance(ARMA). Aplikasi ARMA dikembangkan dengan framework aplikasi mobile Flutter dan perancanganaplikasi menggunakan UML. Dengan adanya aplikasi ARMA maka diharapkan karyawan dapat denganmudah dan tertib melakukan presensi dan permasalahan data presensi karyawan dapat terselesaikan.
Rancang Bangun Sistem Penggajian Karyawan Menggunakan Metode Rapid Application Development (RAD) Doni Antoro; Nizirwan Anwar; Muhamad Bahrul Ulum; Agung Mulyo Widodo; Nixon Erzed
ikraith-informatika Vol 7 No 1 (2023): IKRAITH-INFORMATIKA Vol 7 No 1 Maret 2023
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v7i1.2238

Abstract

CV. XYZ adalah sebuah perusahaan jasa import. Pada perusahaan ini, penggajian karyawan masihmenggunakan cara manual dengan menggunakan Ms. Excel. ini dapat menyebabkan kesalahan perhitungangaji karyawan dan membuat proses pembuatan slip gaji memakan waktu cukup lama . pada penyelesaianmasalah ini peneliti merancang sistem penggajian karyawan menggunakan laravel dengan menggunakanMySQL sebagai database dan teknologi Web-Service dan Vue JS sebagai framework dari bahasapemrograman PHP dan javascript. Metode yang digunakan dalam penilitian ini adalah Rapid ApplicationDevelopment (RAD). RAD dirasa sangat cocok dengan penelitian ini karena dikenal cepat dalampengembangan sistem informasi. Metode pada penelitian ini terdiri dari requirement planning,design systemdan implementation . Sistem dibuat menggunakan UML Diagram dalam memberikan gambaran yang jelasterhadap sistem yang sedang dikembangkan. Hasil dari penelitian ini adalah sebuah sistem informasipenggajian karyawan berbasis website pada CV.XYZ yang diharapkan dapat membuat sistem penggajianmenjadi lebih efisien.
Komparasi Fungsi Hash Md5 Dan Sha256 Dalam Keamanan Gambar Dan Teks Izhar Rahim; Nizirwan Anwar; Agung Mulyo Widodo; Kundang Karsono Juman; Iwan Setiawan
ikraith-informatika Vol 7 No 2 (2023): IKRAITH-INFORMATIKA Vol 7 No 2 Juli 2023
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v7i2.2249

Abstract

Implementasi ilmu kriptografi menjadi semakin sering digunakan seiring dengan daruratnya keamanan data. Ilmukriptografi yang di dalamnya terdapat fungsi hash mengubah data menjadi sebuah nilai representasi agar data yang dimaksudtidak dapat dengan mudah diretas dan disalahgunakan oleh orang lain. Banyak macam fungsi hash yang dapat digunakan untukfungsi kriptografi di antaranya adalah MD5 dan SHA256. Dari hasil percobaan menunjukkan bahwa keduanya mampumengubah data menjadi nilai representatif dan tidak mudah dibaca oleh orang lain. Meskipun begitu, fungsi hash SHA256 lebihbaik dalam mengamankan data karena nilai representatif yang dihasilkan lebih rumit dibandingkan dengan MD5.
Rancang Bangun Aplikasi Pengelolaan E-Arsip Berbasis Laman di PT. XYZ Rizki Faro Khatiningsih; Nizirwan Anwar; Agung Mulyo Widodo; Kundang Karsono Juman
ikraith-informatika Vol 7 No 2 (2023): IKRAITH-INFORMATIKA Vol 7 No 2 Juli 2023
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v7i2.2251

Abstract

Banyaknya Penelitian ini dilakukan di PT. XYZ. Saat ini, tata cara pengelolaan surat di perusahaanmulai dari penerimaan, pembuatan, penyimpanan, pencatatan surat masih menggunakan cara konvensional.Sehingga dibutuhkan sistem yang dapat membantu mengimplementasikanya. Oleh karena itu, perludibangun sebuah aplikasi arsip surat. Aplikasi ini dibentuk dengan menerapkan PHP HypertextPreprocessor (PHP) dan MySQL dalam proses pembuatan databasenya. Metode pengumpulan data melaluiwawancara, observasi, dan studi pustaka serta pengembangan perangkat lunak menggunakan metodewaterfall serta sistem dirancang menggunakan model Unifed Modeling Language (UML) sesuai dengankebutuhan pengguna. Hasil akhir dari penelitian ini adalah sebuah aplikasi yang dapat mengorganisasikandata serta mampu mengatasi persoalan yang terjadi.
The Comparison Models of Earning Management, CSR, and Intellectual Capital on Firm Value Moderated by Performance Rilla Gantino; Endang Ruswanti; Agung Mulyo Widodo; Deni Iskandar
Journal of Accounting Research, Organization and Economics Vol 5, No 2 (2022): JAROE Vol. 5 No. 2 August 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.199 KB) | DOI: 10.24815/jaroe.v5i2.26514

Abstract

Objective – This study aims to compare the effect of earnings management, corporate social responsibility (CSR), and intellectual capital on firm value moderated by performance in two different periods, 2015-2019 (before COVID-19 pandemic) and 2015-2020 (9 months of pandemic).Design/methodology – This Study used two data year groups, from 2015-2019 and 2015-2020 with purposive sampling technique. The population of 5 sectors and 2 sub-sectors of companies listed on the Indonesia Stock Exchange which consists of basic and chemical industry, consumer goods, mining, Infrastructure, Utilities Transportation, various industries (excluding textile and automotive) sector and the Automotive Components, Textile Garment sub-sector.Results – The results show, even though the pandemic lasted 9 months in 2020, the average return on assets (ROA) of the 2015-2020 group decreased, turns out it doesn't have much effect on the strength of ROA to moderate the variable x to y. For 2015-2019 (before COVID-19 pandemic), performance moderates the effect of earnings management, CSR, and intellectual capital on firm value in the textile, automotive and components sub-sectors, various industries, consumer goods sectors and infrastructure and for 2015-2020 (9 months of the pandemic) only textile, automotive and components sub-sectors, various industries, and infrastructure. Partially for 2015-2019, value added intellectual coefficient (VAIC) has a significant effect moderated by performance in the consumer goods infrastructure sector, and automotive, then CSR has a significant effect moderated by performance in the basic industry and textile. Earning management has a significant effect moderated by performance in the basic industry, infrastructure and automotive. The same results for 2015-2020, for earning management. VAIC has a significant effect moderated by performance in consumer goods and infrastructure sector and CSR has a significant effect moderated by performance in textile, basic industry and various industries.Research limitations/implications – This study only uses secondary data for 2015-2019 and 2015-2020 and only uses 5 sectors from 9 sectors and does not compare each sub-sector.Novelty/Originality – This study obtained a comparison of the model of the influence of earnings management, intellectual capital, and CSR on firm value moderated by performance for 5 sectors and 2 sub-sectors.
Sosialisasi Prosedur Dan Kategori Proposal Desentralisasi Hibah Penelitian Berdasarkan Panduan Edisi XIII 2020 (Universitas Esa Unggul Kluster Utama) Nizirwan Anwar; Roesfiansjah Rasjidin; Kundang Karsono Juman; Budi Tjahjono; Yulhendri Yulhendri; Agung Mulyo Widodo; Kartini Kartini; Nina Nurhasanah; Bambang Irawan; Sularso Budilaksono; Euis Heryati; Purwano SK
Media Abdimas Vol 1 No 2 (2022): Jurnal Media ABdimas Vol 1 No 2 Bulan Juli 2022
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1785.976 KB)

Abstract

Dosen sebagaimana diamanatkan Undang-Undang Nomor 14 tahun 2005 tentang Guru danDosen, mempunya tugas dan kewajban sebagai pendidik professional dan ilmuwan dengan tugasutama mengaktualisasikan dan mendistribusikan ilmu pengetahuan, teknologi, dan seni melaluipenelitian (salah satu). Dan untuk mewujudkan hal ini Kementerian Riset, Teknologi danPendidikan Tinggi memberikan kesempatan kepada para dosen untuk berkompetisi dalammengajukan proposal penelitian tahun 2020 untuk pelaksanaan tahun 2021 (bagi yang lolos seleksi– administratif dan substansi) dalam kategori kompetitif nasional, desentralisasi dan penugasan.Jumlah proposal yang dapat diperbolehkan di-submitt termuat dalam ketentuan umum panduan,h-index berdasarkan jurnal bereputasi dan ter-indeks (scopus) serta kluster kelembagaan pengusul(madya, utama dan mandiri).
Workshop Bibliometrik Menginterpretasikan “Clustering and Counting” Metadata Publikasi Periode 2017 – 2022 (title words; “Internet of Things”) Nizirwan Anwar; Erry Yudhya Mulyani; Roesfiansjah Rasjidin; Nixon Erzed; Agung Mulyo Widodo; Kundang Karsono Juman; Muhammad Hadi Arfian
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 3 (2023): Mei
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i3.34

Abstract

Bibliometric merupakan analisis statistic dengan menggunakan metode kuantitatif dalam mengukur data produktivitas dan kualitas penulis, jenis dan tahun diterbitkan, topik artikel, h-index, g-index, citation, dan co-citation serta publisher. Manfaat dan tujuan bibliometric dapat juga menampilkan visualisasi (bibliography dan textdata) jaringan, overlay dan density, memetakan state of art, dan menentukan arah atau trend seorang penulis dalam merencanakan dan merancang suatu penelitian. Metode dalam pemetaan pada aplikasi VOSviewer dikenal counting method, pada bibliography terdiri 2 (dua) full dan fractional serta textdata terdiri 2 (dua) pula yaitu binary dan full. Data yang dikumpulkan dalam format RIS dengan mengoptimalkan ketiga portal metadata - Crossref, Scopus dan Dimensions AI – dengan asumsi title words “Internet of Thing” periode tahun 2017-2022
Preventing Child Kidnaping at Home Using CCTV that Utilizes Face Recognition with You Only Look Once (YOLO) Algorithm Gerry Firmasyah; Joniwan Joniwan; Agung Mulyo Widodo; Budi Tjahjono
Journal of Social Research Vol. 2 No. 9 (2023): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v2i9.1403

Abstract

The rise of child abductions often occurs because of weak parental supervision and weak vigilance of strangers who intentionally or unintentionally approach children. Early warning when a child is approached by an unknown person can cancel the intention of the kidnapper. Indeed, CCTV can be used as a tool to thwart crime. Face Recognition is one of the best biometric recognition systems for identifying someone whose body or DNA has certain characteristics that distinguish one person from another. This research resulted in the right collaboration between CCTV which is equipped with the YOLOv8 algorithm which can detect a human object in real-time and also utilizes face recognition which can prevent child abduction by providing an early warning to kidnappers when approaching children. The results of the first test are the optimal combination using 3 cameras and the CNN method and the shooting time in the afternoon. This combination succeeded in providing an early warning in the form of a siren whose sound is issued with the help of a loudspeaker when a child is left alone and approached by an unknown person with the distance between the camera and the object to be detected as far as 1 meter to 3 meters which takes 15 seconds to 22 seconds to complete the detection process in an image. Then the results of further testing with 6 cameras using the LBPH method take between 17 seconds to 18 seconds to complete the detection process in an image, SVM takes 20 seconds to 42 seconds and CNN takes 17 seconds to 24 seconds.
Risk Management Domain Application Plan Electronic Based Governance System (SPBE) Case Study: Tangerang Government Communications and Informatics Service Bayu Sulistiyanto Ipung Sutejo; Agung Mulyo Widodo; Gerry Firmansyah; Budi Tjahjono
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.878

Abstract

Various applications of SPBE have been produced by the Central and Regional Authorities and have contributed to the efficiency and effectiveness of government maintenance. Nevertheless, the results of the SPBE development show a relatively low maturity rate and a high gap between the Central Authority and the Regional Government. Based on the results of the 2018 SPBE evaluation of 616 Central and Regional Government Instances, the National SPBE Index reached a value of 1.98 with a sufficient predicate of the target SPBE index of 2.6 out of 5 levels with a good prediction. Reviewed from the access of Central and Regional Authorities, the average Central Authorities SPBE index was 2.6 with a good predicate, while the average Regional Government SPBE Index was 1.87 with a sufficient Predicate. Reviewed from the target access spread, 13.3% of Central and Regional Authorities have reached or exceeded the target SPBE 2.6 index, while 86.7% have not yet reached the SPBE 2.0 index target. This shows that there are problems in the development of the SPBE nationally. On the other hand, the development of ICT 4.0 trends is a key external factor that can drive the realization of integrated SPBE implementation and improved quality of SPBE services that make it easier for users in accessing government services. The vision is a benchmark in implementing the integrated implementation of SPBE in the Central and Regional Authorities to produce integrative, dynamic, transparent, and innovative government bureaucracy, as well as improving the quality of integrated, effective, responsive, and adaptive public services.
Design and development of skin disease detection application in humans using computer vision Krisogonus Wiero Baba Kaju; Nizirwan Anwar; Agung Mulyo Widodo; Binastya Anggara Sekti
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4681

Abstract

Skin diseases are abnormal conditions affecting the outer layer of the human body. The prevalence of skin infections worldwide reaches 300 million cases per year, with Indonesia contributing significantly, mainly due to the tropical climate and dense population. Factors such as air temperature, environmental cleanliness, personal hygiene, and the lack of public knowledge about skin hygiene can trigger various types of skin diseases. Skin diseases are often considered trivial as they do not cause death, yet if not promptly and accurately addressed, they can lead to spreading and difficulties in treatment. Analyzing skin diseases requires a high level of knowledge, and accurate diagnosis often presents a challenge. The success of diagnosis heavily relies on the experience of doctors, with some limitations involving subjective assessments and variations among experts. This research aims to design an artificial intelligence (AI)-based application that can quickly and accurately diagnose various types of skin diseases in humans. The application utilizes Deep Learning technology, employing the MobileNet model in Computer Vision to identify skin disease types based on images provided by the user. The system development method used is the AI Project Cycle, encompassing stages such as problem scoping, data acquisition, data exploration, modeling, evaluation, and deployment. Model evaluation results demonstrate good performance with an accuracy rate of 96%, precision of 96%, an f1 score of 95%, and a recall of 95%. The resulting application not only provides diagnoses but also offers information about symptoms, causes, and methods of handling the identified skin diseases
Co-Authors Achmad Fansuri Achmad Randhy Hans Adhi Fernandes Gamaliel Adhikara, M. F. Arrozi Adilah Widiasti Ahmad Musnansyah Ahmad Mutedi Akbar , Habibullah Akbar, Habibullah Alivia Yufitri Andriana, Dian Annazma Ghazalba Ari Widatama, Yohanes Bagas Arif Pami Setiaji Bambang Irawan Bambang Irawan Bambang Irawan Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budi Tjahjono BUDI TJAHJONO Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Cahya Darmarjati Deni Iskandar Deni Iskandar Dewi, Riris Septiana Sita Doni Antoro Dulbahri Dulbahri Dwiaji, Lingga Eko Prasetyo Endang Ruswanti Endang Ruswanti Erry Yudhya Mulyani Erry Yudhya Mulyani Erry Yudhya Mulyani Euis Heryati Fadlilatunnisa, Fanny Fatonah, Nenden Siti Fikri Saefullah Firmansyah, Gerry Gerry Firmansyah Gerry Firmansyah Gerry Firmasyah Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Hadjarati, Panji Ramadhan Yudha Putra Hani Dewi Ariessanti Hartono Hartono Haryoto, Iin Sahuri Hendaryatna Hendaryatna Heri Wijayanto I Gede Pasek Suta Wijaya Ichwani, arief Ichwani, Arief Ipung Sutejo, Bayu Sulistiyanto Ismiyati Meiharsiwi Iwan Setiawan Izhar Rahim Joniwan Joniwan Karisma Trinanda Putra Kartini Kartini Krisogonus Wiero Baba Kaju Kundang Karsono Juman Kundang Karsono Juman Kundang Karsono Juman Kus Hendrawan Muiz Lingga Dwiaji Lisdiana Lisdiana Martin Saputra, Martin Massie, Julius Ivander Maulana, Syaban Meria, Lista Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Muttaqin, Naufal Hafizh Nainggolan, Restamauli br Nina Nurhasanah Nindyo Artha Dewantara Wardhana Nixon Erzed Nixon Erzed Nizirwan Anwar Nizirwan Anwar Nurfilael, Gagas Nurfilae Nurhayati, Ety Pratama, Fajar Prayitno Purwano SK Rahaman, Mosiur Rian Adi Pamungkas Rifqi Khairurrahman RILLA GANTINO Rizki Faro Khatiningsih Rizky Aulia Roesfiansjah Rasjidin Sholeh Gunawan Simorangkir, Holder Suardana, Made Aka Sularso Budilaksono Sulistyo, Catur Agus Sunardi, Sunardi Tardiana, Arisandi Langgeng Tartila, Gilang Romadhanu Tjahjono, Budi Tyara Regina Nadya Putri Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Vitri Tundjungsari Wahid Abdul Azis Wardhana, Nindyo Artha Dewantara Widiasti, Adilah William Nugraha Wisnujati, Andika Yanathifal Salsabila Anggraeni Yessy Oktafriani Yulhendri Yulhendri