Article Per Year (5 Year)
p-Index From 2021 - 2026
3.673
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Industri Kreatif (JIK) Jurnal Pendidikan Teknologi Informasi dan Vokasional JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Sains Informatika Terapan (JSIT) Digital Transformation Technology (Digitech) Engineering and Technology International Journal (EATIJ) Journal of Information System, Technology and Engineering JT-IBSI (Jurnal Teknik Ibnu Sina) JR : Jurnal Responsive Teknik Informatika The Indonesian Journal of Computer Science Journal of Computer-based Instructional Media Jurnal Responsive Teknik Informatika Jurnal Pendidikan MIPA
Veza, Okta
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Analisis Data Mining Clustering Dan Classification pada Kepuasan Pengguna Layanan Bus Trans Kota Batam (Studi Kasus UPT Pelayanan Jasa Transportasi): Data Mining Dewi, Indah Kusuma; Veza, Okta; RAMADHAN, RIDHO
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3560

Abstract

Di bidang pemerintahan ini kepuasan layanan sudah menjadi suatu acuan keberhasilan terutama dari UPT. Pelayanan Jasa Transportasi Batam dalam kualitas pelayanan Trans Batam. Acuan tersebut dapat dijadikan sebuah evaluasi untuk meningkatkan dan mempertahankan kualitas layanan bus Trans Kota Batam. Tujuan dari penelitian ini untuk menghasilkan segmentasi kepuasan layanan pengguna bus Trans Kota Batam dengan algoritma K-means serta informasi klasifikasi berupa unsur pelayanan yang paling berpengaruh pada kepuasan pengguna layanan bus Trans Kota Batam dengan algoritma Decision Tree. Pada penelitian ini peneliti menggunakan metode pendekatan KDD (Knowledge Discovery in Database) dengan metode penelitian kualitatif dalam analisis data mining clustering dan classification lalu peneliti mengimplementasikan data mining clustering pada tools Orange dan data mining classification pada tools RapidMiner. Hasil yang didapatkan dari analisis data mining clustering dan classification pada kepuasan layanan pengguna bus Trans Kota Batam ialah didapatkan segmentasi kepuasan pelanggan dengan 2 cluster yaitu C1 dengan segmentasi kepuasan pelanggan “Puas” dengan jumlah 481 responden dari 995 responden dan C2 dengan segmentasi kepuasan pelanggan “Sangat Puas” dengan jumlah 514 responden dari 995 responden serta didapatkan informasi klasifikasi berupa unsur pelayanan yang berpengaruh pada kepuasan pelanggan yaitu unsur pelayanan persyaratan pelanggan, unsur pelayanan perilaku pelaksana, unsur pelayanan waktu pelayanan, unsur pelayanan produk layanan, unsur pelayanan sarana dan prasarana, unsur pelayanan sistem, mekanisme, dan prosedur yang digunakan serta unsur pelayanan kompetensi pelaksana
Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter Radillah, Teuku; Veza, Okta; Defit, Sarjon
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024119096

Abstract

Fenomena bullying di media sosial, khususnya di Twitter, telah menjadi isu yang semakin memprihatinkan dengan dampak signifikan terhadap kesehatan mental pengguna. Dalam rangka mengatasi masalah ini, deteksi otomatis tweet yang mengandung konten bullying menjadi sangat penting. Penelitian ini bertujuan untuk membandingkan performa dua model pemrosesan bahasa alami terbaru, yaitu BERT (Bidirectional Encoder Representations from Transformers) dan XLNet, dalam klasifikasi tweet yang mengandung bullying. Metodologi penelitian ini melibatkan pengumpulan dataset tweet yang telah dilabeli sebagai bullying atau non-bullying. Proses preprocessing teks dilakukan untuk membersihkan dan menyiapkan data sebelum digunakan dalam pelatihan model. Kedua model, BERT dan XLNet, dilatih dan diuji menggunakan dataset yang sama. Evaluasi performa dilakukan dengan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa kedua model memiliki kemampuan yang baik dalam mengidentifikasi tweet bullying, akan tetapi XLNet menunjukkan performa yang lebih unggul dibandingkan BERT dengan tingkat akurasi sebesar 95%. Dengan nilai presisi  = 100%, recall  = 0,87%, dan F1-score = 0,88%. XLNet mampu menangkap konteks dan nuansa bahasa yang lebih kompleks dalam tweet, yang berkontribusi pada akurasi klasifikasi yang lebih tinggi. Penelitian ini memberikan kontribusi penting dalam bidang deteksi bullying di media sosial dengan menunjukkan bahwa penggunaan model XLNet lebih efektif dibandingkan BERT. Temuan ini dapat membantu platform seperti Twitter dalam mengidentifikasi dan mencegah konten bullying, sehingga menciptakan lingkungan online yang lebih aman bagi pengguna, serta dapat digunakan sebagai dasar untuk pengembangan sistem deteksi bullying yang lebih canggih dan efisien di masa depan.   Abstract The phenomenon of bullying on social media, particularly on Twitter, has become an increasingly concerning issue with significant impacts on users' mental health. In order to address this issue, automatic detection of tweets containing bullying content is crucial. This study aims to compare the performance of two recent natural language processing models, namely BERT (Bidirectional Encoder Representations from Transformers) and XLNet, in the classification of tweets containing bullying. The research methodology involves collecting a dataset of tweets that have been labelled as bullying or non-bullying. Text preprocessing is done to clean and prepare the data before it is used in model training. Both models, BERT and XLNet, were trained and tested using the same dataset. Performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics. The results show that both models have a good ability to identify bullying tweets, but XLNet shows superior performance compared to BERT with an accuracy rate of 95%. With precision = 100%, recall = 0.87%, and F1-score = 0.88%. XLNet is able to capture more complex context and language nuances in tweets, which contributes to higher classification accuracy. This research makes an important contribution to the field of bullying detection on social media by showing that the use of the XLNet model is more effective than BERT. These findings can help platforms like Twitter identify and prevent bullying content, thereby creating a safer online environment for users, and can be used as a basis for the development of more sophisticated and efficient bullying detection systems in the future.
Developing an SMS gateway-based library information system to enhance efficiency and accessibility Hidayat, Wahyu; Veza, Okta; Adi, Novi Hendri; Isaev, Ruslan; Erdolatov, Sanzharbek
Journal of Computer-based Instructional Media Vol. 3 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v3i1.144

Abstract

The integration of technology into library management plays a crucial role in improving operational efficiency and resource accessibility. This study presents the development of an SMS gateway-based library information system to digitalize book borrowing and returning processes. The system was developed using the System Development Life Cycle (SDLC) methodology, incorporating Requirement Planning, System Design, and Implementation phases. The implementation of the system was evaluated by using Black Box Testing to ensure functional correctness. The results indicate that the system effectively streamlines library operations by providing automated notifications for due dates, optimizing inventory tracking, and reducing manual record-keeping errors. Additionally, the integration of an SMS Gateway enhances user engagement and minimizes overdue returns. This study highlights the potential of digital solutions in modernizing library management and serves as a model for other educational institutions aiming to enhance their library systems through technology.
Comparison of WSM and Weight Product Methods with WSM-Score and Vector Approaches Nasyuha, Asyahri Hadi; Tujantri , Harkam; Veza, Okta; Nurarif, Saiful; Chung, Meng-Yun
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14817

Abstract

Fertilizers are essential in modern agriculture as they supply vital nutrients to plants, enhancing growth and yield. However, selecting the most appropriate fertilizer involves multiple criteria and a diverse range of available options. This study conducts a comparative analysis of two Multi-Criteria Decision-Making (MCDM) methods: the Weighted Sum Model (WSM) and the Weight Product (WP) method, supplemented by WSM-Score and vector-based approaches. The evaluation is based on four criteria price, quality, ease of availability, and fertilizer form across seven alternatives: Urea, Compost, TSP, KCL, Gandasil, NPK, and ZA. Using normalized weights from expert judgment, both methods were used to rank the alternatives. A key contribution of this study is the integration of WSM-Score and vector approaches, which enhance traditional MCDM by improving score comparability (WSM-Score) and enabling geometric interpretation of alternative positioning (vector). Results show that Compost (A2) ranks highest across all methods, indicating convergence despite differences in computational logic. WSM offers ease of interpretation, while WP better accounts for proportional differences but is more sensitive to low-performing criteria. The findings suggest that method selection should be context-dependent. Although the ranking results are consistent, the absence of empirical validation through expert comparison or field data limits the generalizability of the conclusions. Further research should include such validation to strengthen the reliability of MCDM-based decision support systems in agricultural applications.
Developing an SMS gateway-based library information system to enhance efficiency and accessibility Hidayat, Wahyu; Veza, Okta; Adi, Novi Hendri; Isaev, Ruslan; Erdolatov, Sanzharbek
Journal of Computer-based Instructional Media Vol. 3 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v3i1.144

Abstract

The integration of technology into library management plays a crucial role in improving operational efficiency and resource accessibility. This study presents the development of an SMS gateway-based library information system to digitalize book borrowing and returning processes. The system was developed using the System Development Life Cycle (SDLC) methodology, incorporating Requirement Planning, System Design, and Implementation phases. The implementation of the system was evaluated by using Black Box Testing to ensure functional correctness. The results indicate that the system effectively streamlines library operations by providing automated notifications for due dates, optimizing inventory tracking, and reducing manual record-keeping errors. Additionally, the integration of an SMS Gateway enhances user engagement and minimizes overdue returns. This study highlights the potential of digital solutions in modernizing library management and serves as a model for other educational institutions aiming to enhance their library systems through technology.
Sistem Informasi Booking Room Badan Pengusahaan Batam Menggunakan Metode Object Oriented Analysis and Design Sabtu, Sabtu; Veza, Okta; Crystalia, Nike; Syofiawan, Doni; Adi, Novi Hendri
Jurnal Pendidikan Teknologi Informasi dan Vokasional Vol 5, No 2 (2023): Jurnal Pendidikan Teknologi Informasi dan Vokasional
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jptiv.v5i2.29280

Abstract

At the Batam Enterprise Agency in the Public Relations, Promotion, and Protocol Bureau section, when borrowing rooms they still use manual processes, and paper forms in the borrowing process, which results in less effective record keeping. So the author created a room lending dashboard information system. The aim of this research is to design a meeting room lending dashboard information system. The method used in this research is Object Oriented Analysis and Design (OOAD) which has stages of analysis, design, implementation, and experimentation, while system design uses Unified Modeling Language (UML) modeling, system flow diagrams consisting of (use case diagrams, activity diagrams, sequence diagram and class diagram), the result of this research is to produce a dashboard information system for borrowing meeting rooms which can make work easier and make room borrowing schedules well organized.Kata kunci: OOAD, Peminjaman Ruang, Sistem Informasi, Unified Modeling Language
Pengembangan Portal Karyawan PT Appipa Indonesia Berbasis Web Menggunakan Metode CRM (Customer Relationship Management) Veza, Okta; Dewi, Indah Kusuma; Islapirna
Jurnal Responsive Teknik Informatika Vol. 4 No. 02 (2020): JR : Jurnal Responsive Teknik Informatika
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jr.v4i02.181

Abstract

PT. Appipa Indonesia dalam mengelola data pegawai saat ini masih dilakukan secara terpisah-pisah atau belum tersusun dengan baik dimana sistem yang ada belum dapat memudahkan pencarian data karyawan dan juga belum terintegrasi dalam satu sistem informasi. Tujuan penelitian adalah menghasilkan pengembangan sistem informasi portal karyawan dan menerapkan CRM (Customer Relationship Management) sebagai metode pengembangan perangkat lunak. Dan untuk aktifitas fokus ke pengambangan model menggunakan UML (Unified Modeling Language) sebagai pemodelan sistem, dan RUP (Rational Unified Process) penulis pilih sebagai perancangan dan pengujian pada portal karyawan PT Appipa Indonesia. Alasan penulis memilih RUP (Rational Unified Process) sebagai perancangan dan pengujian karna memiliki proses yang detail dan berurut. Dan juga setiap langkahnya terkontrol secara sistematis. Sistem yang akan dibangun ini memberikan kemudahan bagi unit SDM untuk melakukan pencarian data karyawan. Dan untuk user dapat memudahkan untuk mengubah datanya secara mandiri.
Simulation Modeling System in Determining the Amount of Oil Inventory Veza, Okta; Larisang, Larisang; Setyabudhi , Albertus L.; Arifin , Nofri Yudi; Agustini , Sherly
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2009

Abstract

Currently, XYZ Gas Stations, in carrying out fuel sales activities, have not yet used a simulation of calculating fuel supply needs at gas stations which functions to support decision making by the leadership, this causes frequent stock shortages at each XYZ gas station branch. because of that the authors are interested in creating a modeling system for calculating fuel inventory simulations using the Monte Carlo method and the LCM pattern. The purpose of this research is to produce a simulated calculation of the supply of purchased fuel so that management knows how much stock of fuel must be provided at each gas station and also to prevent empty fuel stocks at each gas station in the XYZ branch. The data collection methods used in this study were interviews, observations, and literature studies. The system is designed using the JAVA Programming Language. The data processed in this study is transaction activity data for January and February 2022 to determine the amount of inventory that must be provided in March 2022. The final results of the data processing that has been carried out with the trial purchase data transactions for the two current months, namely January and February 2022 to get the simulation results of fuel oil (BBM) supplies in March whose activation has been running with simulation predictions using the Monte Carlo Algorithm.
Development of Android-Based Interactive Learning Media on Listening, Imitating, and Reciting Materials for PAUD Students Ari, Novi Hendri; Veza, Okta; Simatupang, Wakhinuddin; Irfan, Dedy; Muskhir, Mukhlidi; Riyanda, Afif Rahman; Daphiza, Della
Jurnal Pendidikan MIPA Vol 22, No 2 (2021): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

At the Al-Qur'an-based PAUDQ An Najah, they are required to innovate in learning activities during the pandemic. The learning media used in PAUDQ An Najah still uses paper media, so teachers have difficulty providing material during the pandemic. Researchers feel the need to develop android-based interactive learning media to improve the quality of learning during the Covid19 pandemic. The purpose of this study is to develop interactive learning media for the introduction of android-based Arabic vocabulary to assist teachers in the teaching process and to assist the role of parents in providing learning guidance to their children. The method used is Multimedia Development Life Cycle (MDLC), which has concept, design, material collecting, assembly, testing and distribution stages. This research produces interactive learning media applications that can be operated on parents' smartphones to support online learning. The conclusion of this study is that android-based interactive learning media is feasible to be applied to PAUDQ An Najah.Keywords: Interactive Learning Media, MDLC, Android, PAUD DOI: http://dx.doi.org/10.23960/jpmipa/v22i2.pp279-291
Implementation of Teacher Attendance Monitoring Application at SMK Ibnu Sina Batam Arifin, Nofri Yudi; Suri, Ghea Paulina; Johan, Dasman; Veza, Okta; Larisang, Larisang
Journal of Information System, Technology and Engineering Vol. 2 No. 3 (2024): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v2i3.86

Abstract

This study aims to analyze and design a web-based teacher attendance monitoring application at SMK Ibnu Sina Batam. We expect this application to enhance the efficiency and effectiveness of teacher attendance management through the use of digital technology. The research methods used include literature studies, interviews, and direct observation of the teacher attendance management process. We design the system using the Unified Modeling Language (UML), implement it using the CodeIgniter framework, and use MySQL as its database. We conduct testing using the Black Box method to verify that all functions operate as anticipated. The results show that this application can monitor teacher attendance in real-time and improve discipline. By cutting down on manual checks and enhancing transparency and accountability in school management, the implementation of this application significantly enhances the quality of education at SMK Ibnu Sina Batam.
Co-Authors Ade Kurnia, Riska Afif Rahman Riyanda Agustini , Sherly Agustini, Sherly Apandi, Suliza Ari, Novi Hendri Arifin , Nofri Yudi Arifin, Nofri Yudi Asyahri Hadi Nasyuha Chung, Meng-Yun Crystalia, Nike Daphiza, Della Dedy Irfan Devega, Army Trilidia Deyidi Mokoginta Doni Syofiawan Erdolatov, Sanzharbek Fernandes, Atman Lucky Hermansyah Indah Kusuma Dewi, Indah Kusuma Indra Isaev, Ruslan Islapirna Iswahyudi, M. Subhan Johan, Dasman Larisang Laurensius Setyabudhi, Albertus Laurensius, Albertus Majid, Sanusi Martino, Hisar Gusdian Muskhir, Mukhlidi Mustakim Novi Hendri Adi Nurarif, Saiful Panessai, Ismail Yusuf Pratama, Andi Lewis Pratiwi Radillah, Teuku Ramadhan, Ridho Sabtu, Sabtu Sarjon Defit Setyabudhi , Albertus L. Simatupang, Wakhinuddin Sitopu, Nirwana Suparman, Ade Suri, Ghea Paulina Tujantri , Harkam Tyas, Sari Setyaning Wahyu Hidayat Wowiling, Steiva Amerlien Sandra Yudi Arifin, Nofri