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<![CDATA[LIGHT RAIL TRANSIT PUBLIC TRANSPORTATION QUEUE SYSTEM BASED ON ANDROID ]]>
<![CDATA[Fransisco, Roy]]>;
<![CDATA[Arifitama, Budi]]>
<![CDATA[ Jurnal Algoritma, Logika dan Komputasi Vol 3, No 1 (2020): Jurnal ALU, Maret 2020 ]]>
Publisher : <![CDATA[Universitas Bunda Mulia ]]>
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DOI: 10.30813/j-alu.v3i1.2047
<![CDATA[The more advanced and the development of the era tends to create more complex problems that needs to be solved. Queueing in Indonesia is a problem that is difficult to control. LRT (Light Rail Transit) is the most recent public transportation for the people living around Northern Jakarta. Most of the people want to try this new transportation, This creates a problem where usually people tend to not queueing in line when buying tickets. The solution fot this problem is by ordering online tickets or online queues over queueing traditionally. In this study, the Designing and programming methods used C # code on visual studio which is performed as a form of validation such as validation for Login and Registering; PHP code is used to connect the database for data registrants, users, and admin; and UML (Unified Modeling Language) for designing the system and database. With this online queue, it can help overcome the problem of crowded long and congested lines at the LRT station so that it can increase the culture of the queue for mutual order to be realized.]]>
<![CDATA[Implementasi Metode Analytic Network Process (ANP) dalam Pengangkatan Karyawan Tetap PT X ]]>
<![CDATA[Marini, Ghaisani Nurisa]]>;
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Permana, Silvester Dian Handy]]>
<![CDATA[ Prosiding Seminar Nasional Universitas Ma Chung (Informatika & Sistem Informasi Bahasa dan Seni ]]>
Publisher : <![CDATA[Ma Chung Press ]]>
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<![CDATA[Proses peningkatan status karyawan kontrak menjadi karyawan tetap di PT X masih belum optimal. Proses pengangkatan dimulai dari HRD dengan melakukan seleksi awal berdasarkan absensi, pendidikan terakhir dan masa kerja, kemudian direkomendasikan kepada manajer untuk seleksi lebih lanjut. Proses ini memakan waktu lama karena kriteria penilaian manajer belum optimal. Untuk itu, diperlukan sistem pendukung keputusan berbasis website yang dapat membantu manajer dalam penilaian calon karyawan tetap sehingga penilaian menjadi lebih efektif dan efisien. Penelitian ini bertujuan membantu manajer dalam memilih kriteria dan membuat keputusan untuk menentukan karyawan tetap, serta menyediakan sistem pendukung keputusan berbasis website yang memudahkan manajer dalam memperoleh informasi mengenai status karyawan kontrak. Sistem ini dirancang menggunakan metode Analytic Network Process (ANP) untuk menghitung hasil penentuan karyawan tetap. Kriteria yang dipertimbangkan meliputi pemahaman pekerjaan, kreativitas, prestasi, perilaku, dan kerjasama tim. Tahapan ANP mencakup pembuatan matriks perbandingan berpasangan, penentuan nilai eigen vektor, dan pembuatan limiting supermatriks untuk menetapkan bobot akhir dari kriteria dan subkriteria. Hasil dari penelitian ini berhasil menentukan kandidat yang diangkat menjadi karyawan tetap sebanyak dua orang dari total sekian kandidat yaitu posisi pertama adalah kode B11 dengan Candra Setiawan skor 0.034, posisi dua kode C25 dengan Gema Ramadhan skor 0.033. sehingga ANP dapat membantu untuk memberikan alternatif keputusan kepada manager dalam pengangkatan karyawan tetap.]]>
<![CDATA[A Mobile Augmented Reality Application for Automotive Sparepart Installation ]]>
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Abdillah, Zihan Noor]]>;
<![CDATA[Syahputra, Ade]]>;
<![CDATA[Permana, Silvester Dian Handy]]>;
<![CDATA[Yaddarabullah, -]]>
<![CDATA[ International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022) ]]>
Publisher : <![CDATA[SOTVI ]]>
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DOI: 10.62527/ijasce.4.3.97
<![CDATA[Automotive exterior spare parts retailers frequently sell exterior spare parts for a range of cars via direct sales transactions and online media. A major issue has come up for consumers who purchase products online must install spare parts independently, with limited instructions that make it difficult for customers to install the replacement components. This is demonstrated by nearly 50% of online consumers complaining to the seller about installation errors, indicating the need for a solution to these issues. Augmented reality was used as a solution to educate how to install automotive exterior spare parts. In this work, the Spatial Tracking technology is utilized to project objects from a viewpoint in order to send data digitally and show the 3D model to the object's surrounds in real time. This study included as samples rear-view mirrors, headlights, stop lamps, and fog lamps. According to the study's findings, The user acceptance test was carried out by online consumers who buy spare parts at the store, and the results of the average percentage score of the entire questionnaire by more than 53% agree and strongly agree that the use of augmented reality can ease the spare-part installation bought online, the results of testing the AVAR application by the user are successful and well accepted.]]>
<![CDATA[Implementation of Augmented Reality for Introducing Nutritious Food to Elementary School Children Using the Marker-Based Tracking Method ]]>
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Nugrahayati, Putri]]>;
<![CDATA[Permana, Silvester Dian Handy]]>
<![CDATA[ Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni ]]>
Publisher : <![CDATA[Unversitas Muhammadiyah Mataram ]]>
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DOI: 10.31764/justek.v8i2.30409
<![CDATA[Pre-adolescence is a vital stage of human development, where proper nutrition significantly influences growth and long-term productivity. As children often consume snacks both at home and in school environments, ensuring they have access to safe and nutritious food is essential. This research aims to develop an educational tool to introduce healthy and balanced food choices to children using augmented reality (AR) technology. The study employs a marker-based tracking method, a widely used technique in AR development, to display interactive 3D visualizations of nutritious food items. This method was selected for its ability to provide fast and accurate marker recognition, making it highly suitable for educational use. Experimental testing demonstrated that the application effectively rendered stable and well-positioned 3D objects at a tracking distance of 10–30 cm. As a result, the AR-based learning tool successfully enhanced children's ability to recognize and understand different types of nutritious foods. The findings suggest that augmented reality, particularly through marker-based tracking, can effectively increase engagement and support nutrition education among school-aged children.]]>
<![CDATA[ENHANCING STUDENTS' DIGITAL LITERACY: OPTIMIZING GOOGLE CLASSROOM IN TECHNOLOGY-BASED LEARNING ]]>
<![CDATA[Hallaby, Syarifah Fadiya]]>;
<![CDATA[Arifitama, Budi]]>
<![CDATA[ ABDIMU: Jurnal Pengabdian Muhammadiyah Vol 5, No 1 (2025): Vol 5 No 1 Juni 2025 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Aceh ]]>
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DOI: 10.37598/abdimu.v5i1.2433
<![CDATA[Digital literacy is an essential competency for university students navigating academic and professional environments in the digital era. Despite the widespread adoption of Google Classroom as a learning management system, its effective utilization remains constrained by gaps in digital proficiency and a lack of structured training. This academic service initiative seeks to enhance students' digital literacy by providing targeted instruction on optimizing Google Classroom for academic purposes. Through interactive workshops, participants engage in hands-on learning to master key functionalities of Google Classroom, including task organization, academic discourse facilitation, and resource management. Post-training assessments indicate a significant improvement in students' ability to navigate digital learning environments, demonstrating enhanced self-directed learning capabilities and more effective academic collaboration. This initiative contributes to the broader goal of fostering digital readiness in higher education, equipping students with the skills necessary to engage meaningfully in technology-driven learning environments. Future programs are recommended to expand the scope of training, integrate advanced pedagogical strategies, and ensure equitable access to digital learning resources for all students. Keywords: digital literacy, technology-based learning, Google Classroom.]]>
<![CDATA[Peningkatan Keterampilan Membaca Permulaan menggunakan Pop-Up Book Berbasis Augmented Reality pada Siswa Sekolah Dasar Kelas 1 ]]>
<![CDATA[Munajah, Robiatul]]>;
<![CDATA[Nisphia, Jasmin]]>;
<![CDATA[Faruq, Umar Al]]>;
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Budiana , Kiki]]>;
<![CDATA[Kilawati , Andi]]>
<![CDATA[ Journal of Education Reseach and Evaluation Vol 9 No 3 (2025): August ]]>
Publisher : <![CDATA[LPPM Undiksha ]]>
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DOI: 10.23887/jere.v9i3.102759
<![CDATA[Elementary school students' early reading skills are still low, resulting in delays in understanding learning materials. The lack of innovative and interactive learning media causes students to be less motivated in developing early literacy skills. This study aims to analyze the effectiveness of augmented reality-based pop-up book media in improving students' early reading skills by emphasizing analysis, evaluation, and application skills. The type of research used is an experiment with a single-group pretest-posttest design. The research subjects involved 35 students aged 6–7 years as trial subjects. Data were collected through a test of early reading skills using pretest and posttest instruments. Data analysis was carried out using a t-test to determine the average difference before and after treatment. The results of the study showed a significant increase in students' early reading skills after using augmented reality-based pop-up book media, which proves that this media is able to support the learning process more effectively and enjoyably. The conclusion of this study confirms that augmented reality-based pop-up book media is effective in improving students' early reading skills, while addressing the problem of low basic literacy. The implications of this research indicate that the use of interactive technology can be an important strategy for teachers to enrich early literacy learning media to make it more interesting, contextual, and appropriate to the needs of the digital generation.]]>
<![CDATA[Klasifikasi Penyakit Kanker Serviks Berdasarkan Kebiasaan dan Rekam Medis dengan Metode C4.5 ]]>
<![CDATA[Hidayah, Kemal Taufiq]]>;
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Permana, Silverster Dian Handy]]>
<![CDATA[ Jurnal Nasional Teknologi dan Sistem Informasi Vol 10 No 1 (2024): April 2024 ]]>
Publisher : <![CDATA[Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas ]]>
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DOI: 10.25077/TEKNOSI.v10i1.2024.36-44
<![CDATA[Kanker serviks adalah salah satu penyakit yang paling sering ditemui dan dapat menyebabkan kematian pada Wanita di seluruh dunia. Di Indonesia, jumlah kematian akibat kanker serviks terus meningkat setiap tahun, sebgaian besar disebabkan oleh diagnosis dan skrining yang terlambat. berbagai faktor yang disebabkan oleh kanker serviks seperti kebiasaan yang dilakukan ialah, berganti-ganti pasangan seksual, merokok atau pasif merokok, memiliki infeksi kelamin, memiliki riwayat kanker dan sebagainya. untuk mendeteksi adanya kanker serviks atau tidak, dapat dilakukan dengan cara pemeriksaan tes IVA (inspeksi visual asam asetat) atau yang disebut dengan tes schiller. Metode klasifikasi ialah bagian dari Teknik data mining untuk melakukan prediksi, Dalam penelitian ini, ingin meningkatkan akurasi dengan menggunakan metode C4.5 untuk melakukan klasifikasi penyakit kanker serviks berdasarkan kebiasaan pasien. Dua belas atribut dan satu atribut dari hasil pengujian digunakan dalam proses klasifikasi. Dataset tersebut terdiri dari 1080 entri, yang akan dibagi menjadi 864 data dan 216 data pelatihan. Data ini diperoleh dari website UCI Repository. Penelitian ini menghasilkan akurasi sebesar 94.10%, presisi sebesar 95.57%, recall sebesar 96.33% dan AUC (Area Under Curve) sebesar 0.987 yang diukur menggunakan matrix confussion atau matriks kebingungan dengan alat rapidminer. ]]>
<![CDATA[Penilaian Kinerja Tenaga Pemasaran Untuk Menentukan Reward dan Benefit dengan Menggunakan Metode Weighted Product ]]>
<![CDATA[Nabilah, Jihan]]>;
<![CDATA[Ade Syahputra]]>;
<![CDATA[Budi Arifitama]]>
<![CDATA[ KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/klik.v4i4.1704
<![CDATA[Employees are one of the most important assets a company has in its efforts to sustain its business. In this regard, employee management and employee performance assessment are very important to measure human resource management governance in order to achieve the company's goals, vision and mission. Many employees are affected by one individual whose performance declines. As a result, it will also affect the performance of a company. To maintain the performance of the company and employees, namely by providing the best rewards and benefits. Determining rewards and benefits must go through a work assessment or evaluation process. Therefore, it is necessary to analyze employee performance using the Weighted Product method. This method is able to complete employee performance analysis supported by historical data such as achievement, absenteeism, honesty, communication and cooperation. In this research, we try to find criteria that can be used to provide value to employee performance. In addition, a system will be designed that can speed up the provision of value to employees in the form or design model in the form of a Decision Support System (DSS), with the hope that the process or mechanism for providing value to employee performance will run more quickly and precisely. This increasing PT XYZ productivity and supporting the company's future development. It is hoped that the results of this research can help provide solutions regarding rewards and benefits for PT XYZ employees according to their performance]]>
<![CDATA[SENTIMEN ANALISIS TIM SEPAK BOLA DI PIALA ASIA 2023 BERDASARKAN PENGGUNA TWITTER (X) MENGGUNAKAN ALGORITMA MULTINOMIAL NAÏVE BAYES ]]>
<![CDATA[Naufal, Muhammad]]>;
<![CDATA[Arifitama, Budi]]>;
<![CDATA[Permana, Silvester Dian Handy]]>
<![CDATA[ Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 7 No 2 (2024): Jurnal Kurawal Volume 7, Nomor 2, October 2024 ]]>
Publisher : <![CDATA[Universitas Ma Chung ]]>
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DOI: 10.33479/kurawal.v7i2.1098
<![CDATA[Perkembangan media sosial mengubah cara kita berkomunikasi dan berinteraksi, Dimana media sosial telah menyediakan sumber data yang kaya akan opini dan persepsi dari berbagai pengguna. Dalam konteks Olahraga, sentimen analisis terhadap Tim Sepak Bola Nasional Indonesia dapat memberikan wawasan yang baik tentang dukungan persepsi publik terhadap Tim Sepak Bola Nasional Indonesia dan juga menjadi bahan evaluasi tim nasional indonesia di masa yang akan datang. Studi ini akan menghasilkan opini publik positif dan negatif pada saat kondisi tim nasional indonesia mengalami kekalahan, kemenangan dan keseluruhan selama mengikuti ajang turnamen piala asia 2023, studi ini menggunakan pendekatan algoritma Multinomial Naïve Bayes Classification (MNB) untuk mengklasifikasikan dan training data, menggunakan library Valence Aware Dictionary and sEntiment Reasoner (VADER) untuk melakukan pelabelan otomatis pada data dan Term Frequency-Inverse Document Frequency (TF-IDF) untuk mengekstraksi fitur terhadap data tim sepak bola nasional Indonesia dalam turnamen Piala Asia 2023. Algoritma MNB digunakan untuk mengklasifikasikan teks yang sudah dilabeli secara otomatis menggunakan VADER . Data untuk studi ini diperoleh melalui proses pengambilan data dari sosial media X dengan kata kunci "timnas Indonesia Piala Asia 2023" dalam rentang tanggal pada saat turnamen piala asia 2023 yaitu 12 Januari 2024 hingga 10 Februari 2024. Hasil dari studi yang dilakukan oleh penulis pada studi berjudul “Sentimen Analisis Tim Sepak Bola di Piala Asia 2023 Berdasarkan Pengguna Twitter(X) Menggunakan Algoritma Multinomial Naïve Bayes” menghasilkan akurasi yang cukup baik yaitu 81%, 79% dan 79% pada kategori Keseluruhan, Kekalahan dan Kemenangan dengan menggunakan metode evaluasi Confussion Matrix.]]>
<![CDATA[V2V Communication in Smart Traffic Systems: Current status, challenges and future perspectives ]]>
<![CDATA[Yogha Bintoro, Ketut Bayu]]>;
<![CDATA[SDH Permana]]>;
<![CDATA[Ade Syahputra]]>;
<![CDATA[Yaddarabullah]]>;
<![CDATA[Budi Arifitama]]>
<![CDATA[ Jurnal PROCESSOR Vol 19 No 1 (2024): Jurnal Processor ]]>
Publisher : <![CDATA[LPPM Universitas Dinamika Bangsa ]]>
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DOI: 10.33998/processor.2024.19.1.1524
<![CDATA[Implementing V2V communication in intelligent traffic systems has been a topic of growing interest due to its potential to improve road safety and traffic flow. However, the widespread adoption of V2V communication in intelligent traffic systems could be enhanced by various challenges, such as infrastructure cost, security, and interoperability. These challenges must be addressed to improve the potential benefits of V2V communication. The problem statement of this study is to examine the potential benefits and challenges of V2V communication in intelligent traffic systems and provide insights into the current state of the art in V2V communication research. The proposed approach is to conduct a literature review of recent research on V2V communication in intelligent traffic systems to identify the potential benefits and challenges of V2V communication and the current state of the art in V2V communication research. The study aims to contribute to the field by comprehensively understanding the implementation of V2V communication in intelligent traffic systems and informing potential future research in this area. V2V communication can improve road safety and traffic flow in intelligent traffic systems. However, more research is needed to address the challenges and develop advanced and cost-effective V2V communication systems.]]>
