Article Per Year (5 Year)
p-Index From 2020 - 2025
4.516
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi MURA Patria Artha Technological Journal Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Multidisiplin Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Ipteks Terapan : research of applied science and education J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement JURNAL KARYA ILMIAH MULTIDISIPLIN Jurnal Teknologi Informasi Mura
Mariza Devega
Universitas Lacang Kuning
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
OPTIMALISASI AFFILIATE MARKETING SEBAGAI PELUANG BISNIS BAGI GENERASI MILENIAL Mariza Devega; Yuhelmi; Rebecca La Volla Nyoto
J-COSCIS : Journal of Computer Science Community Service Vol. 4 No. 2 (2024): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v4i2.19917

Abstract

Penggunaan gadget khususnya bagi remaja atau generasi milenial memiliki dampak positif, seperti mempermudah pekerjaan dan komunikasi. Namun, tidak dapat dipungkiri bahwa penggunaan teknologi ini juga membawa dampak negatif. Salah satu aspek yang paling mengkhawatirkan adalah kecanduan smartphone. Kecanduan smartphone adalah fenomena yang berkaitan dengan penggunaan ponsel pintar yang tidak terkendali. Adapun hal yang mungkin dilakukan untuk mengurangi kecanduan smartphone adalah ikut aktif memberikan sosialisasi agar bijak dalam menggunakan smartphone. Bijak disini misalnya dapat dilakukan dengan memberikan batasan waktu terhadap aplikasi yang digunakan. Hal ini juga dikenal dengan kesejahteraan digital. Selain dengan manajemen waktu yang baik, penggunaan smartphone tid ak hanya dapat mempermudah namun juga bisa memberikan passive income bagi siswa SMA. Adapun hal yang mungkin dilakukan untuk mengurangi kecanduan smartphone adalah ikut aktif memberikan sosialisasi agar bijak dalam menggunakan smartphone. Selain itu, untuk mendapatkan passive income maka diberikanlah pelatihan Affiliate Marketing, dimana siswa SMA dapat memanfaatkan smartphone untuk mendapatkan passive income, selain itu juga agar penggunaan smartphone menjadi lebih produktif. Metode pelaksanaan melibatkan pemateri yang memberikan informasi, simulasi, praktik, diskusi, dan evaluasi dengan kuesioner. Hasil dari kegiatan Pengabdian Kepada Masyarakat ini yaitu peningkatan pengetahuan siswa dari 11,56% menjadi 91,92%. Hasil praktik siswa menunjukkan potensi pendapatan sampingan melalui affiliate marketing.
Implementation of Web-based of E-Marketplace for UMKM at XYZ University Devega, Mariza; Walhidayat, Walhidayat; Yuhelmi, Yuhelmi
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11761

Abstract

One of the private universities in Pekanbaru, which has nine postgraduate faculties and 10 faculties with 21 study programs. The number of the academic community is quite large, there is already a whats app group that facilitates the entire Academic Community in terms of transacting selling goods or services online. However, in practice it has not been fully effective, one of which is because there are no clear rules in trade ethics, for example, one person may only post a maximum of two products a day because if there are too many, it will overwrite other seller's product postings as well. This often happens, causing whats app groups are only dominated by one or two people who post all the products sold along with their customer testimonials. This of course can harm other sellers, it can also disturb the comfort of the group for both sellers and buyers. Therefore, to answer these problems, a market place is proposed specifically for the entire XYZ’s Academic Community. In addition to reviving UMKM at XYZ University, it is also a forum to make it easier for lecturers, employees and also students to make transactions that are comfortable and effective for both sellers and buyers. Furthermore, system development will be carried out both from adding features, android-based and matters related to user convenience in interacting with the system.  
Development of Web-based Single Channel Multi Steps Online Queuing System with Model View Controller Darmayunata, Yuvi; Devega, Mariza; Yuhelmi , Yuhelmi
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12003

Abstract

Abstract: Improvement in service quality will be directly proportional to customer satisfaction. One form of improving the quality of services provided by a Government Institution engaged in the Health sector, namely the Health Center is an effective and efficient queue. This research is a follow-up research where previously an analysis and design of an online queuing system has been carried out. This study aims to make it easier for patients to take queue numbers in advance through the queue website, and patients can come based on a predetermined estimated time. This of course can minimize patient waiting time and also prevent the accumulation of patients in the waiting room of the puskesmas. Single Channel Multi Steps is one of four types of queues and is the type of queue currently running at the Siak Hulu I Kampar-Riau Health Center, while the Model View Controller (MVC) was chosen because it is a feature that makes it easy to create a Web-based application.
Forecasting Simcard Demand Using Linear Regression Method Sitompul, Monica; Hasan, Mhd Arief; Devega, Mariza
IT Journal Research and Development Vol. 8 No. 1 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.12202

Abstract

The purpose of this research is to get a prediction of how package card growth will be based on sales data from SINAR E-XIX CELL. The method used for this forecasting is linear regression, based on the number of card packs sold which is the causal variable. The accuracy of predictions is carried out using Python based on the results of research conducted with data on simcard sales over a period of two years, it was found that in the following year the number of growth in demand for sim cards in the coming year has decreased, but there is one card that has experienced an increase in the number of growth in the following year. which will come. Forecasting using Linear Regression can be said to be classified as very well based on using python. After doing the forecasting it can be concluded that in the next few years the demand for cards will be less.
Application of SMART Method and Dashboard Visualization for Student Code of Conduct Violations Mariza Devega; Yuvi Darmayunata; Yuhelmi yuhelmi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4593

Abstract

In order to handle student discipline infractions at school, this project intends to design a decision support system (DSS) based on the Simple Multi-Attribute Rating Technique (SMART) technique integrated with a graphical dashboard. A variety of visual tools, such as scatter plots, heatmaps, pie charts, bar charts, and line charts, are used to evaluate and display violation data. This integration's primary goals are to make monitoring and analysis faster and more efficient and to support decision-making with regard to student infractions. The findings demonstrate how the SMART approach and visualization dashboard can be used to manage violation data more effectively, provide a better knowledge, and speed up reactions to infractions. This technique makes it easier for schools to spot trends in infractions, choose the best course of action for corrective measures, and enhance overall student discipline. It is anticipated that this system will enable discipline management in a learning environment in an efficient manner.
SOSIALISASI DIGITAL WELLBEING PADA SISWA SMA NEGERI 16 PEKANBARU Devega, Mariza; Yuhelmi; Volla Nyoto, Rebecca La
J-COSCIS : Journal of Computer Science Community Service Vol. 5 No. 1 (2025): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v5i1.22303

Abstract

Kegiatan pengabdian ini bertujuan meningkatkan kesejahteraan digital siswa SMA Negeri 16 Pekanbaru melalui sosialisasi digital wellbeing. Siswa sering mengalami ketergantungan teknologi, gangguan tidur, paparan konten tidak sesuai, dan kurangnya literasi digital. Sosialisasi ini mencakup pemberian materi tentang dampak negatif teknologi, tips mengatur waktu penggunaan aplikasi, praktik menggunakan fitur Digital Wellbeing, serta evaluasi dan diskusi. Hasil kegiatan menunjukkan peningkatan signifikan dalam pengetahuan siswa tentang kesejahteraan digital dari 0.88% sebelum pelatihan menjadi 81.77% setelah pelatihan. Rekomendasi untuk perbaikan meliputi peningkatan keterlibatan orang tua, konsistensi pelatihan berkala, dan evaluasi berkelanjutan. Kegiatan ini berhasil meningkatkan pemahaman dan keterampilan siswa dalam mengelola penggunaan teknologi secara bijaksana, yang diharapkan dapat mendukung kesejahteraan mental, emosional, dan fisik mereka.
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI DANA DAN LINKAJA MENGGUNAKAN METODE NAÏVE BAYES Agnes Novita Sianipar; Yuhelmi; Mariza Devega
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 2 (2024): Publikasi Artikel ZONAsi: Periode Mei 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i2.19907

Abstract

Perkembangan teknologi telah mempercepat transformasi kehidupan manusia, terutama dalam bidang keuangan dengan munculnya dompet digital atau Fintech (Financial Technology). Fenomena ini mengakibatkan peningkatan signifikan penggunaan dompet digital, yang pada gilirannya memicu meningkatnya jumlah komentar atau pendapat dari pengguna. Komentar-komentar ini menjadi sumber informasi krusial bagi pengguna lain yang hendak memilih aplikasi. Contoh nyata terdapat pada aplikasi Dana dan LinkAja di Indonesia, yang mendapat tanggapan positif dan negatif dari pengguna di platform distribusi Google Play Store. Analisis Sentimen atau Opinion Mining menjadi teknik yang relevan dalam menganalisis pendapat dan sentimen pengguna terhadap suatu topik, termasuk produk atau layanan. Dalam penelitian ini, metode Naive Bayes dipilih karena kemampuannya yang efektif dalam mengklasifikasikan teks, terutama pada dataset teks besar, dengan tingkat akurasi yang memuaskan.
ANALISIS SENTIMEN CYBERBULLYING PADA KOMENTAR INSTAGRAM MENGGUNAKAN METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) Tegar Adi Saputra; Mariza Devega
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v7i1.23122

Abstract

Instagram merupakan media sosial yang paling populer pada zaman sekarang. Pengguna yang dimulai dari anak-anak, remaja hingga orang dewasa turut mendongkrak popularitas Instagram. Namun, media sosial ini tidak lepas dari bahaya cyberbullying yang sering dilakukan oleh pengguna khususnya pada kolom komentar. Cyberbullying merupakan intimidasi yang dilakukan seseorang pada orang lain yang dilakukan melalui chatroom, media sosial, e-mail, website dalam bentuk seperti pelecehan verbal, penghinaan, pencemaran nama baik, ancaman. Bahaya cyberbullying tentunya meresahkan banyak orang dikarenakan dampak yang ditimbulkan, maka dari itu dapat dilakukan suatu analisis sentimen pada kolom komentar Instagram yang berupaya untuk mengetahui sentimen dari setiap komentar. Untuk mengetahui setiap sentimen pada komentar digunakan fitur Term Frequency-Inverse Document Frequency (TF-IDF) dan metode klasifikasi Support Vector Machine (SVM). Dalam pengambilan data dilakukan dengan cara crawling data pada tolls https://console.apify.com/ dan menarik data komentar pada sebuah postingan instagram sebanyak 1000 data komentar. Dari data tersebut akan di lakukan pemrosesan dengan perbandingan data latih dan data uji diantaranya:90%:10% dengan akurasi 96%, 80% : 20% dengan akurasi 96%, dan 70% : 30% dengan akurasi 95%.
Digital Awareness Training and Education In SMA Negeri 6 Pekanbaru: Pelatihan dan Edukasi Kesadaran Digital Pada SMA Negeri 6 Pekanbaru Yuhelmi, Yuhelmi; Devega, Mariza; Rebecca, Rebecca La Volla Nyoto
CONSEN: Indonesian Journal of Community Services and Engagement Vol. 5 No. 1 (2025): Consen: Indonesian Journal of Community Services and Engagement
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/consen.v5i1.1994

Abstract

The “Digital Awareness Training and Education Program at SMA Negeri 6 Pekanbaru” aims to increase students' understanding in managing the use of technology wisely to maintain digital well-being. Problems faced by students include excessive use of technology, lack of self-management skills in the digital world, and the negative impact of social media on mental health. This training includes providing material on digital well-being, practice using Digital Wellbeing features, and evaluating the effectiveness of the program. The evaluation results showed a 51% increase in student understanding, especially in recognizing the negative impact of excessive technology use and how to set digital boundaries. The program helped students understand the balance between the digital world and real life and build healthier technology use habits. In the future, it is recommended that this training be conducted periodically with the involvement of parents as well as continuous evaluation to adjust to the ever-changing technological developments
ANALISIS SENTIMEN TERHADAP ULASAN PADA WHIZ PRIME HOTEL SUDIRMAN PEKANBARU MENGGUNAKAN SUPPORT VECTOR MACHINE DAN NAIVE BAYES Priofani, Alfariz; Mariza Devega; Yuhelmi, Yuhelmi; Walhidayat, Walhidayat
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 2 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Mei 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v7i2.25888

Abstract

Kemajuan teknologi informasi telah mengubah cara manusia menjalankan bisnis, termasuk dalam industri perhotelan melalui platform E-Commerce seperti Traveloka. Ulasan pelanggan menjadi sumber informasi penting yang dapat memengaruhi keputusan calon pelanggan. Penelitian ini menganalisis sentimen ulasan pelanggan terhadap Whiz Prime Hotel Sudirman Pekanbaru menggunakan algoritma Support Vector Machine (SVM) dan Naive Bayes. Data sebanyak 4336 ulasan dikumpulkan dari situs Traveloka, kemudian diproses menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Setelah tahap praproses, sebanyak 2165 ulasan dianalisis dengan hasil distribusi sentimen positif sebesar 72,79%, negatif 15,38%, dan netral 11,82%. Algoritma SVM menunjukkan akurasi tertinggi sebesar 77%, sementara Naive Bayes mencapai akurasi 73%. Hasil ini memberikan wawasan bagi pihak hotel untuk memahami kekuatan dan kelemahan layanan, sehingga dapat meningkatkan kepuasan pelanggan secara keseluruhan.
Co-Authors Agnes Novita Sianipar Ahmad Zamsuri, Ahmad Ahsal Ryan Prayogo Antonius Fernando Ayu Yuliandesi Bayu Febriadi, Bayu darmayunata, yuvi Darmayunata, Yuvi Ega Pratama Elvira Asril, Elvira Fajrizal Fajrizal, Fajrizal Fana Wiza Fana Wiza, Fana Guntoro, Guntoro Lisnawita Lisnawita Loneli Costaner M. Sadar Mely Syafira Mhd. Arief Hasan, Mhd. Arief Misno Sugianto Nurliana Nasution, Nurliana Nyoto Nyoto, Rebecca La Volla Priofani, Alfariz Rebecca La Volla Nyoto Rebecca, Rebecca La Volla Nyoto Rendi Haryono Septy Ria Saputri Ria Saputri, Ria Ridho Alfandi Rismayeti Rismayeti Sitompul, Monica Susi Handayani Susi Handayani Susi Handayani Tegar Adi Saputra Walhidayat Walhidayat Walhidayat Walhidayat, Walhidayat Yuhelmi , Yuhelmi Yuhelmi Yuhelmi Yuhelmi, Y Yundari, Yundari Zamzami, Zamzami Zuhrahfi Harahap