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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputer Terapan Query : Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Ilmiah Media Sisfo Jurnal Nasional Komputasi dan Teknologi Informasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Abdi Ilmu JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Indonesian Journal of Education, Social Sciences and Research (IJESSR) Jurnal Ilmiah Teknologi Informasi dan Robotika Syntax: Journal of Software Engineering, Computer Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Pengabdian kepada Masyarakat Jurnal Mahasiswa Sistem Informasi (JMSI) Instal : Jurnal Komputer Journal of Computer Science and Informatics Engineering Jurnal Armada Informatika Indonesian Journal Computer Science (ijcs) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Data Sciences Indonesia (DSI) Infolitika Journal of Data Science Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (Jubdimas) Al'Adzkiya International of Computer Science and Information Technology Journal
Hadinata, Edrian
Universitas Harapan Medan, Medan
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An Implementation of Hybrid CNN-XGBoost Method for Leukemia Detection Problem Hidayat, Taufiq; Hadinata, Edrian; Damanik, Irfan Sudahri; Vikki, Zakial; Irvanizam, Irvanizam
Infolitika Journal of Data Science Vol. 1 No. 1 (2023): September 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v1i1.87

Abstract

Leukemia is a blood cancer in which blood cells become malignant and uncontrolled. It can cause damage to the function of the body's organs. Several machine learning methods have been used to automatically detect biomedical images, including blood cell images. In this study, we utilized a hybrid machine learning method, called a hybrid Convolutional Neural Network-eXtreme Gradient Boosting (CNN-XGBoost) method to detect leukemia in blood cells. The hybrid method combines two machine learning methods. We use CNN as the basic classifier and XGBoost as the main classification method. The aim of this methodology was to assess whether incorporating the basic classification method would lead to an enhancement in the performance of the main classification model. The experimental findings demonstrated that the utilization of XGBoost as the main classifier led to a marginal increase in accuracy, elevating it from 85.32% to 85.43% compared to the basic CNN classification. This research highlights the potential of hybrid machine learning approaches in biomedical image analysis and their role in advancing the early diagnosis of leukemia and potentially other medical conditions.
Pelatihan Dasar Shutterstock Sebagai Media Penyedia Konten Visual Bagi Siswa/i SMK 1 Pantai Labu Hasibuan, Ade Zulkarnain; Munjiat Setiani Asih; Siti Sundari; Edrian Hadinata; Khairunnisa
Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023): Desember 2023
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v2i2.86

Abstract

Community service activities are carried out at SMK 1 Pantai Labu, the main target of this activity is students majoring in software engineering. The activities carried out discussed the Shutterstock platform for selling digital works of students at SMK 1 Pantai Labu. The thing that underlies this activity is the students' lack of knowledge regarding digital works that can be sold all over the world just by uploading them to the Shutterstock platform without having to pay for the upload process. Many of the digital works they have so far have only been stored on hard disks or on the SSD they own or just post it on social media without any financial benefit.
Analisis Penerapan Sistem E-loan Dan Prosedur Pemberian Kredit Kepemilikan Rumah (KPR) Dengan Metode Studi Kolerasional Barus, Rini Afriani; Elsera, Marina; Hadinata, Edrian
Journal of Computer Science and Informatics Engineering Vol 2 No 2 (2023): April
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v2i2.228

Abstract

The E-Loan system at Bank BTN is an internal system used in credit processing with PPDPP's SiKasep platform which is a big data system for the availability of subsidized property and a verification application for Low-Income Communities (MBR) who are entitled to housing subsidies and succeeded in the SiKasep registration process. and get a subsidized mortgage program from Bank BTN. Subsidized Home Ownership Loans (KPR) are loans offered by banks and are also part of a government program in collaboration with the Ministry of Public Works. This study aims to determine the closeness and suitability of the application of the E-Loan System and the Procedure for Providing Subsidized Home Ownership Credit (KPR) at PT. State Savings Bank. The research method used is a correlational study. This study resulted in a measurement of the closeness and suitability of the E-Loan System and Procedures for Providing Home Ownership Loans (KPR) through a questionnaire.
Pengenalan Artificial Intelligence Bagi Siswa/Siswi SMK Asih, Munjiat Setiani; Hasibuan, Ade Zulkarnain; Hadinata, Edrian; Faisal, Ilham
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 3 No 2 (2024): Oktober 2024
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v3i2.261

Abstract

Artificial intelligence merupakan bidang ilmu komputer yang saat ini sedang populer. Pamanfaatan artificial intelligence tersebut sudah merambah hampir ke seluruh bidang dikehidupan manusia. Hanya saja pemahaman tentang artificial intelligence sangat minim di lingkungan masyarakat terutama di lingkungan siswa/i SMK Pantai Labu. Para siswa/i sering bahkan ada yang selalu menggunakan teknologi artificial intelligence, hanya saja mereka tidak memahami teknologi tersebut secara mendasar. Oleh karena itu tim pengabdian masyarakat melakukan pelatihan tentang pengenalan artificial intelligene kepada siswa/i SMK Pantai Labu agar mereka memahami teknologi tersebut. Dengan memahami teknologi tersebut siswa/i dapat memanfaatkan teknologi artificial intelligence tersebut untuk meningkatkan kemampuan mereka di bidang akademik maupun non akademik.
Aplikasi Computer Based Test (CBT) Berbasis Website Menggunakan Metode RAD Pada SMA Negeri 21 Medan Hutahaean, Maxi Lamtama; Hadinata, Edrian; Faradillah, Yanty
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.1085

Abstract

A Computer-Based Test (CBT) can be utilized as a method that leverages technology in the field of education, packaged in a manner that is both effective and efficient. At SMA Negeri 21 Medan, the examination process is still conducted manually using a Paper-Based Test (PBT). The academic staff and students at SMA Negeri 21 Medan still use paper for everything from writing the exam questions to administering the exams, leading to inefficiencies in cost, time, and errors in the grading process that can disadvantage the students. This research aims to design and develop a computer-based test (CBT) application, beginning with data collection methods (literature review, interviews, and observations) and using the Rapid Application Development (RAD) system development methodology. The system design was created using UML, with use case diagrams, activity diagrams, sequence diagrams, and class diagrams. The resulting system can assist teachers and other academic staff in the online examination process, where the scores will be automatically generated once the exam is completed, thereby saving time from manually grading each exam. The application also includes a QR code containing student data to assist academic staff in checking whether students have paid their tuition and exam fees. The application system testing was conducted using the black box testing method to determine the functionality of the application according to the requirements.
ICONIX Process Pada Arsitektur Zend Framework 3 (Software Effort Estimation) Menggunakan Case Based Reasoning Borroek, Maria Rosario; Hadinata, Edrian
Jurnal Ilmiah Media Sisfo Vol 18 No 2 (2024): Jurnal Ilmiah Media Sisfo
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/mediasisfo.2024.18.2.1985

Abstract

Saat ini berbagai peneliti banyak yang sedang fokus meneliti berbagai macam metodologi dalam pengembangan software karena dengan pemilihan metodologi yang baik maka software yang dihasilkan akan memiliki kualitas yang baik, lebih cepat dan biaya dalam pengembangan software akan menjadi lebih efisien. ICONIX Process adalah metode hybrid dalam metodologi pengembangan software engineering yang dibentuk berdasarkan metodologi pemodelan objek (Object Modeling Technique), Metode Objectory dan Metode Booch. Penggunaan ICONIX Process yang mengadopsi Use Case Driven serta dengan penyesuaian terhadap Arsitektur Zend Framework yang berbasis Event-driven Architecture dalam lingkup paradigma SOLID diharapkan dapat mengkolaborasikan keduanya pada skala penelitian dengan kasus pengembangan software effort estimation pada penelitian sebelumnya. Proses perancangan Software Effort Estimation dan Case Based Reasoning dengan menggunakan metode ICONIX Process pada Arsitektur Zend Framework 3 dengan tujuan agar dapat meminimumkan kesalahan dalam menterjemahkan diagram yang dihasilkan pada proses perancangan. Perhitungan Cosmic Function Point dilakukan pada aplikasi Zend Framework 3 menjadi lebih terstruktur dengan baik dikarenakan proses perhitungan didesain menggunakan class.
Web-Based Caricature Sales Information System Using the FAST Method Siregar, Nabilah Dewani Adha; Elsera, Marina; Hadinata, Edrian
Data Sciences Indonesia (DSI) Vol. 2 No. 2 (2022): Article Research Volume 2 Issue 2, Desember 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v2i2.1998

Abstract

The use of information technology has become widespread throughout all sectors of society, including government, business, healthcare, and education. Dalis Art Medan is a digital art-focused online store that opened its doors in 2017. Dalis Art's current sales system still relies on Facebook and Instagram because it does not yet have e-commerce, which results in low sales. Reporting mistakes are common since Dalis Art sales transaction data is still manually entered. E-commerce has been suggested as a solution to Dalis Art's issue with developing its sales operation. The FAST (Framework for the Application of Systems Thinking) methodology is used in this study. The FAST technique incorporates system users more actively in each stage of system development, is more adaptable, can be produced with other methods, and can be customized to the author's standard demands. The goal of this study is to make it easier for customers to learn about and purchase products from Dalis Art. Benefits might give consumers quick access to information on the items in Dalis Art. The study's findings demonstrate how fast and accurately a web-based sales information system, including details on products, ordering procedures, and payments, can be accessible via this method.
APLIKASI SIMULASI PEMANTAUAN DAN EVALUASI KINERJA PENYELENGGARAAN PELAYANAN PUBLIK KABUPATEN/KOTA Ashari, Annisa; Hadinata, Edrian; Dewi Andriana, Septiana
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12838

Abstract

Penelitian ini bertujuan untuk mengembangkan aplikasi simulasi yang berfungsi untuk pemantauan dan evaluasi kinerja penyelenggaraan pelayanan publik di tingkat kabupaten atau kota. Permasalahan yang dihadapi oleh banyak instansi pemerintah adalah keterbatasan dalam memantau dan mengevaluasi kinerja pelayanan publik secara efektif dan efisien. Selain itu, banyaknya perangkat daerah yang tersebar luas dan kurangnya sistem yang dapat mengumpulkan dan memverifikasi data kinerja dengan cepat menyebabkan lambatnya pengambilan keputusan dan kurangnya transparansi dalam pelayanan publik. Untuk mengatasi masalah tersebut, aplikasi ini mengintegrasikan formulir online dan kuisioner sebagai media pengumpulan data dari setiap perangkat daerah, yang selanjutnya dievaluasi oleh sistem dan dipantau secara berkala. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan dapat mempermudah pengelolaan kinerja pelayanan publik dengan menyediakan akses real-time untuk pemantauan dan evaluasi, sekaligus meningkatkan transparansi dan akuntabilitas dalam pelayanan publik di daerah. Dengan menggunakan metode prototype dalam pengembangan aplikasi, sistem ini berhasil mengakomodasi umpan balik dari pengguna untuk memperbaiki kualitas dan fungsionalitas aplikasi.
SISTEM MANAJEMEN UPAH KERJA KARYAWAN CV. IRIAN BERBASIS WEB MENGGUNAKAN METODE AGILE Valentina Hutajulu, Riris; Oktaviana Sembiring, Boni; Hadinata, Edrian
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12842

Abstract

Pengelolaan gaji dan sumber daya manusia yang efisien dan akurat merupakan tantangan krusial bagi perusahaan ritel, termasuk Irian Supermarket. Untuk mengatasi hal ini, penelitian ini mengusulkan pengembangan aplikasi Sistem Manajemen Upah Karyawan berbasis web menggunakan Metode Agile. Sistem ini dirancang untuk mengatasi hambatan dalam pengolahan penggajian manual melalui automasi dan integrasi fitur-fitur seperti perhitungan gaji, pencatatan tunjangan, insentif, dan absensi. Implementasi teknologi ini diharapkan dapat meningkatkan efisiensi operasional, akurasi penggajian, serta memperbaiki pengalaman karyawan dalam mengakses informasi gaji mereka. Pengujian sistem dilakukan menggunakan metode black-box, yang berfokus pada pengujian fungsionalitas sistem tanpa melihat kode sumber. Hasil pengujian menunjukkan bahwa sistem berhasil memenuhi semua persyaratan fungsional dan memberikan output yang akurat dalam proses manajemen penggajian.
Office Inventory Processing Information System at PT. Dian Ratna Abadi Prananda, Ade Tya; Hadinata, Edrian; Sinaga, Tantri Hidayati
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 1, No 2 (2020)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v1i2.87

Abstract

PT. Dian Ratna Abadi is a company engaged in human resource services. At this time, inventory data collection is still done manually using Microsoft Office applications. Data collection in this way can make it difficult for employees to collect data and produce reports, so that it is not effective and efficient. The research method used is a descriptive method using observation data collection techniques, interviews and literature studies. This research is an Applied Research. The purpose of this research is to design a goods inventory application to provide convenience in processing data to obtain the desired information. From the research conducted, it produces an inventory system that can be used without any errors or errors in the system
Co-Authors Adjie Satria Ahmad Zakir Ahmad Zakir Ahmad Zakir, Ahmad Andi Marwan Elhanafi Andi Marwan Elhanafi, Andi Marwan Ashari, Annisa Asih, Munjiat Setiani Barus, Rini Afriani Boni Oktaviana Sembiring Borroek, Maria Rosario Dalimunthe, Yulia Agustina Dedy Irwan Dedy Irwan Dewi Andriana, Septiana Edy Rahman Syahputra Eka Rahayu EKA RAHAYU Elsera, Marina Endi Utama MS Lubis Fachrul Rozi Lubis Fachry Abda El Rahman Faisal, Ilham Faradillah, Yanty Gibran, Chaidir Halimatussa’diah Halimatussa’diah Halimatussa’diah, Halimatussa’diah Haliz Larasati Handoko, Divi Hani Anhar Nasution Hasdiana, Hasdiana Hasibuan, Ade Zulkarnain Hutahaean, Maxi Lamtama Ilham Zuneri Karo-Karo Irfan Sudahri Damanik Irvanizam, Irvanizam IRWAN, DEDY Khairunnisa Liyani Liyani Lubis, Husni lubis, ihsan Maria Rosario Borroek Marina Elsera Muhammad Alfarizi Harahap Oktaviana Sembiring, Boni Prananda, Ade Tya Rafika Dewi, Arie Rizki Fadillah Rosanti Daeli Septiana Dewi Andriana, Septiana Dewi Sinaga, Tantri Hidayati Siregar, Nabilah Dewani Adha Siti Sundari Syahfriani Syahfriani T Mhd Daffa Syahrafli Tantri Hidayati Sinaga Tantri Hidayati Sinaga Tantri Hidayati Sinaga Tantri Hidayati Sinaga Tasya Febriyanti Togar Renaldi Siregar Valentina Hutajulu, Riris Vikki, Zakial Waruwu, Sokhizatulo Wiwit Andriani Suardi Mandai Wiyono, Tri Yanti Faradillah Siahaan Yermia Ndruru