Article Per Year (5 Year)
p-Index From 2021 - 2026
4.672
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Simetris JOIV : International Journal on Informatics Visualization IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI Paradigma Journal of Information Technology and Computer Science (JOINTECS) Jurnal CoreIT Techno Nusa Mandiri : Journal of Computing and Information Technology Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research INTI Nusa Mandiri Jurnal Sistem Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Computer Science (CO-SCIENCE) Paradigma Jurnal Insan Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS SATIN - Sains dan Teknologi Informasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen
Yuris Alkhalifi
Universitas Bina Sarana Informatika, Jakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
Literasi Digital Penangkal Hoaks: Upaya Identifikasi, Verifikasi, dan Pemberdayaan Karang Taruna Yuris Alkhalifi; Khairul Rizal; Nur Alam; Amir
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1274

Abstract

Tingginya durasi konsumsi internet di Indonesia tidak diiringi dengan kemampuan literasi digital yang memadai. Pemuda Karang Taruna sebagai pengguna aktif media sosial rentan terjebak oleh manipulasi psikologis, bias konfirmasi, hingga disinformasi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan kompetensi kognitif dan keterampilan teknikal mitra dalam memverifikasi hoaks. PkM menerapkan pendekatan makro Participatory Technology and Education melalui empat tahapan antara lain asesmen awal, sosialisasi teoretis, workshop praktis, dan evaluasi akhir. Pada fase workshop, proses edukasi dipandu menggunakan kerangka kerja SIFT (Stop, Investigate, Find Better Coverage, Trace Claims) yang diimplementasikan ke dalam empat fokus eksperimen instrumen Open-Source Intelligence (OSINT). Evaluasi menunjukkan kenaikan signifikan kompetensi peserta: identifikasi hoaks naik menjadi 88%, pengenalan rekayasa AI mencapai 75%, dan keterampilan mengoperasikan alat verifikasi digital (OSINT) mengalami peningkatan sebesar 48% (dari 32% ke 80%). Pemahaman hukum siber (UU ITE) juga menguat hingga 92%. Integrasi pendekatan partisipatif dan framework SIFT efektif mentransformasi pemuda menjadi Agen Literasi Digital yang kompeten di tingkat akar rumput.
Mobile-based Application Development on Admission of New Students with Design Science Research Methodology Yuris Alkhalifi; Rino Ramadan; Rahdian Kusuma Atmaja; Ispandi Ispandi
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 2 (2024): September 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i2.4765

Abstract

Increased use of mobile devices in recent years has led to a change in human behavior as users. Mobile devices today are being used for a wide range of sectors ranging from entertainment, and business to education. In the field of education, it can be used to interact between teachers and students, and lecturers with students, and can also be done for registration of New Student Admission. The presence of PMB registration through mobile devices can help prospective students apply wherever they are without having to come directly to the campus. It's not implemented by the Indonesian Siber University. (Cyber University). The Cyber University campus is currently implementing New Student Admission registration directly through the campus, so this process is still likely to take a long time. To solve the problem, this study will solve the problem of new student enrolment that is still being done manually to be digitized by building mobile-based applications. The method to be used is the Design Science Research Methodology (DSRM) known as the fast method because it includes the Agile software development model. The programming language used is the Dart-based Flutter framework. As a result of the research carried out, the mobile-based PMB application on the Cyber University was successfully constructed and in line with expectations. Candidate students can download the app on the Google PlayStore with the keyword Cyber PMB
DIGITALISASI BERBASIS MICROSOFT OFFICE UNTUK PENGELOLAAN DAN PELAPORAN DATA KELUARGA PADA PEMBERDAYAAN KADER DASAWISMA Yuris Alkhalifi; Khairul Rizal; Amir Amir; Nur Alam
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 6 (2025): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i6.3272

Abstract

Pengabdian ini bertujuan untuk meningkatkan kapasitas Kader Dasawisma RT. 10 Mampang Prapatan dalam mengelola dan melaporkan data keluarga melalui penerapan digitalisasi berbasis Microsoft Office. Metode pengabdian yang digunakan adalah hands-on training yang menekankan praktik langsung, pendampingan personal, serta penyediaan modul digitalisasi sebagai panduan standar. Hasil pengabdian menunjukkan adanya peningkatan signifikan dalam keterampilan kader dalam menggunakan Microsoft Excel untuk pengolahan data keluarga berbasis NIK, Microsoft Word untuk penyusunan laporan bulanan yang baku, serta Microsoft PowerPoint untuk visualisasi data dalam bentuk grafik. Simpulan dari kegiatan ini adalah bahwa digitalisasi berbasis Microsoft Office efektif dalam meningkatkan akurasi, efisiensi, dan kerapian administrasi data keluarga, serta mendukung terwujudnya sistem pendataan yang lebih modern, terstruktur, dan berkelanjutan di tingkat komunitas.
PENERAPAN HYPERPARAMETER MACHINE LEARNING DALAM PREDIKSI GAGAL PINJAM Dinar Ismunandar; Muhammad Rifqi Firdaus; Yuris Alkhalifi
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5612

Abstract

Loans or credit are one of the key factors in advancing the economy. One of them is encouraging business expansion which will have a direct impact on a country's economic growth. Banks and other financing institutions must be able to evaluate the borrower's ability to pay their debts based on the inherent risks to reduce the possibility of default. To this end, machine learning (ML) has emerged as a revolutionary tool in using advanced prediction methods to examine historical data based on customer behavior. This research investigates the application of ML in predicting loan outcomes by optimizing parameters in the Machine Learning algorithm. The ML algorithms examined in this research are Logistic Regression (LR), K-Nearest Neighbor (KNN), Random Forest (RF), Decision Tree (DT), and XGBoost (XGB). Meanwhile, the technique used in hyperparameter tuning is Grid Search Cross Validation (CV). The results show that the algorithm's performance is more optimal than before, it can be seen that the LR algorithm experienced an increase in accuracy of 5%, KNN by 4%, RF by 3%, DT by 3%, and XGB by 2%. By including a default dataset based on customer behavior and optimized algorithm parameters, apart from being able to answer the alignment in previous literature in providing a deeper understanding of loan estimation, this research can also provide an understanding that hyperparameter techniques are worth trying to improve the performance of ML algorithms. So, it will be easier for financing institutions to determine the right loan scenario.
ANALISIS KUALITAS WEBSITE PORTAL MEDIA ONLINE MILENIANEWS.COM MENGGUNAKAN STANDAR ISO 9126 Muhammad Rifqi Firdaus; Yuris Alkhalifi; Dinar Ismunandar; Oky Kurniawan
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6218

Abstract

Software quality can be assessed based on two main criteria, namely conformance to specifications and the ability to meet user needs. One of the international standards used to assess software quality is ISO 9126, which includes six main aspects: functionality, reliability, usability, efficiency, maintainability, and portability. In this journal, four aspects are taken to examine the quality of an online media portal website milenianews.com. The research methods include black-box testing for functionality, stress testing for reliability, Likert Scale-based questionnaire for usability, and GTMetrix for efficiency. The results showed that the functionality aspect scored 100%, indicating that all functions run according to specifications. The reliability aspect shows a 100% success rate on sessions, pages, and hits, indicating excellent performance under high usage conditions. Usability scored 79%, which falls into the good category, reflecting an interface that is easy to use and understand by users. The efficiency aspect obtained grade B with a performance score of 75% and structure 91%, indicating quite good performance, although there is room for improvement, especially in the load time of 2.5 seconds and total blocking time of 192 ms. Overall, the milenianews.com online media portal has met ISO 9126 quality standards and is declared suitable for use. These results show the importance of implementing international standards-based quality testing to ensure an optimal user experience.
PENERAPAN DECISION TREE DENGAN PENYEIMBANGAN DATA IMBALANCE MENGGUNAKAN UPSAMPLING DALAM PREDIKSI PENYAKIT LIVER Agung Fazriansyah; Yuris Alkhalifi; Ainun Zumarniansyah
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6369

Abstract

Acute liver disease has a significant impact on liver function and is often only detected at an advanced stage due to the lack of patient awareness for early examination.  One of the challenges in treating liver disease is the delay in diagnosis, where many patients do not notice the early symptoms until their condition has worsened.  Therefore, a predictive system is needed that can identify liver disease patients early on, allowing for regular check-ups and timely treatment.  In this study, a classification model was developed using a machine learning approach, specifically the Decision Tree algorithm, by balancing the data in the minority class through upsampling.  The research results show that this model is capable of predicting liver disease status with an accuracy rate of 89.22%, a recall of 88.45%, a precision of 83.21%, and an f1-score of 85.78%.  In addition, the ROC-AUC value of 0.89 is categorized as a good classification.  This model achieved a higher accuracy score than other studies with similar datasets.  This system is expected to help improve early detection and expedite the treatment of liver disease patients.
PERANCANGAN UI/UX APLIKASI PEMESANAN MAKANAN JEPANG SHOKUAPP PADA RESTORAN XYZ DENGAN PENDEKATAN DESIGN THINKING Muhammad Mikail Attala; Muhammad Farrel Dimitri; Rully Faizar Ramadhan; Raffiero Yuza Musyaffa; Muhamad Futtuh Hafis Fajri; Yuris Alkhalifi
INTI Nusa Mandiri Vol. 21 No. 1 (2026): INTI Periode Agustus 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v21i1.8741

Abstract

The rapid growth of Japanese-themed restaurants in Indonesia has created a demand for digital food ordering services that are practical and focused on customer convenience. This study aims to design an alternative UI/UX interface for the “Shoku App,” a prototype self-service ordering app for Restaurant XYZ, using a Design Thinking approach. The design focus is on addressing the challenges of the conventional (manual) ordering process, particularly regarding the menu catalog’s information architecture and inefficient transaction flows. Through the “empathize” and “define” phases, customer needs were synthesized into an Empathy Map and User Persona. In the “ideate” and “prototype” phases, solutions were realized through the creation of wireframes, the standardization of UI guidelines, and the development of an interactive high-fidelity prototype using Figma—which emphasizes a minimalist Japanese-style visual aesthetic and optimizes the shopping cart overlay sheet. The test phase was conducted through usability testing involving 20 respondents using the standardized System Usability Scale (SUS). The evaluation results showed that the Shoku App achieved an average SUS score of 86.63. Based on the SUS interpretation criteria, this result places the app in the “Best Imaginable” category (Grade A+) with an “Acceptable” level of user acceptance. These empirical findings demonstrate that the implementation of a digital interface and simplified navigation effectively provide consumers with an intuitive, efficient, and satisfying self-service transaction experience.
Co-Authors Achmad Fachrurozi Achmad Rifai Agung Fazriansyah Agung Fazriansyah Ainun Zumarniansyah Aldo Erianda, Aldo Amir Amir Amir Amir Amir Amir Anas Faisal Annisa Elfina Augustia Annisa Elfina Augustia Destia Sari Rahmadhani Fadillah Dinar Ismunandar Dinar Ismunandar Dinar Ismunandar Dipa Putra Pratama Ferda Ernawan Firstianty Wahyuhening Fibriany Fitra Septia Nugraha Gata, Windu Harsono, Muhammad Luthfiy Kurniawan Hasan Basri Imam Budiawan Irmawati Irmawati Irwan Herliawan Ispandi Ispandi Ispandi Ispandi, Ispandi Kartika Puspita Kartika Puspita khairul rizal Khairul Rizal Kudiantoro Widianto, Kudiantoro Mayangky, Nissa Almira Mery Oktaviyanti Puspitaningtyas Mohammad Syamsul Azis Muhamad Futtuh Hafis Fajri Muhammad Farrel Dimitri Muhammad Ilham Prasetya Muhammad Luthfiy Kurniawan Harsono muhammad luthfiy kurniawan harsono Muhammad Mikail Attala Muhammad Rifqi Firdaus Nila Hardi Nur Alam Nur Alam Nurajijah Nurajijah Oky Kurniawan Oky Kurniawan Prasetya, Arfhan Puspita, Kartika Qudsiah Nur Azizah Raffiero Yuza Musyaffa Rahdian Kusuma Atmaja Resi Taufan Rian Ardianto Rifki Sadikin Rino Ramadan Rully Faizar Ramadhan Shahreen Kasim, Shahreen Tika Adilah M Tri Rivanie Windu Gata Windu Gata Yan Rianto Yulita Ayu Wardani Zahrah Rachmawaty