p-Index From 2021 - 2026
8.534
P-Index
This Author published in this journals
All Journal Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Journal of Information System, Applied, Management, Accounting and Research METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jusikom: Jurnal Sistem Informasi Ilmu Komputer Systematics Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JURSIMA (Jurnal Sistem Informasi dan Manajemen) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mandiri IT Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Minfo Polgan (JMP) Society: Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Komtekinfo Jurnal Buana Pengabdian Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science JUSIFOR : Jurnal Sistem Informasi dan Informatika Golden Ratio of Data in Summary Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Bulletin of Network Engineer and Informatics (BUFNETS) JURSIMA Journal Of Artificial Intelligence And Software Engineering VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Sistem Informasi dan Manajemen Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Jurnal Abdimas Mahakam
Claim Missing Document
Check
Articles

User Experience Design Analysis of the Karawang Job Vacancy Website using the User-Centered Design Method and System Usability Scale Sopian, Jajang; Huda, Baenil; Novalia, Elfina; Hananto, April Lia
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): 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.v14i4.5303

Abstract

An optimized User Experience (UX) design plays a significant role in creating a comfortable browsing experience, ensuring good accessibility, and enhancing user satisfaction. This study analyzes the UX design of the Info Loker Karawang website by applying the User-Centered Design (UCD) method and evaluating the resulting prototype using the System Usability Scale (SUS) to assess the website’s ease of use. The UCD method was selected because it places the user at the center of the design process, enabling the development of solutions that align closely with users’ needs, expectations, and characteristics. This approach has proven effective in producing relevant and intuitive interfaces through stages of analysis, design, and evaluation involving active user participation. Following the design phase, the prototype was tested using the SUS instrument to measure how well the design solution met usability and user satisfaction criteria. The evaluation results indicate that applying UCD in website design significantly improves usability, achieving a SUS score of 72.5, which falls into Grade B and is categorized as “Good” on the adjective rating scale. This research provides insights into the importance of user-centered approaches in website development and demonstrates the effectiveness of SUS in evaluating and measuring the success of UX design outcomes.
Pengenalan Enterpreunership Multimedia Pada Santri Pondok Pesantren At-Taubah Tirta Mulya Agustia Hananto; Elfina Novalia; Tukino Tukino
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 2 No. 2 (2025): Mei : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v2i2.1384

Abstract

This community service activity aims to introduce the concept of multimedia entrepreneurship to students of the At-Taubah Tirta Mulya Islamic Boarding School, Karawang, in order to improve their knowledge and skills in utilizing multimedia as a tool for entrepreneurship. Held on March 2, 2024, this activity involved 50 students who attended lecture sessions, discussions, and multimedia content creation practices. The research method used was participatory action research, which allowed participants to be actively involved in the learning process. Data were collected through observation, interviews, and questionnaires to measure changes in knowledge before and after the activity. The results of the analysis showed a significant increase in students' understanding and skills related to multimedia entrepreneurship. The implications of this activity highlight the importance of collaboration between higher education institutions and Islamic boarding schools to create a creative and independent generation in the digital era.
UI/UX Design of Mobile-Based Employee Performance Monitoring Using User-Centered Design Method PT Citra Digital Lintas Wirlandika, Devri; Prayono, Tukino; Novalia, Elfina
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6401

Abstract

Development of mobile-based employee performance monitoring application interface at PT Citra Digital Lintas using User-Centered Design (UCD) method and usability testing with Single Ease Question (SEQ). The results of the user needs analysis showed a priority on transparency and ease of access. In the evaluation phase, 7 key tasks were tested with 10 respondents. An average SEQ score of 7.0 indicated the interface was easy to use, with T8 (real-time monitoring) being the best task (average 7.0; 50% scored 7/very easy). A total of 80% of respondents scored 6/easy on tasks T3 (data input) and T7 (performance report), reflecting design consistency. However, T1 (multi-role login) had 20% scoring 4/difficult, the highest among the other tasks, although the average was still 5.1/quite easy. Overall, 7 out of 8 tasks fell into the moderately easy category (scores 5-6.9), while T8 was the only one to reach the easy category (scores ≥7). Improvement recommendations focused on T1 to reduce user barriers, while the design of T8 was retained as an intuitive reference. Implementation of the app improved monitoring efficiency (85% positive response) and supported performance transparency, with potential for increased accuracy (90% satisfaction) and employee engagement. These results confirm that the UCD approach and SEQ validation were effective in creating a solution that aligned with user and organisational needs.
KLASIFIKASI DAN PREDIKSI ULASAN E-COMMERCE MENGGUNAKAN ALGORITMA NAÏVE BAYES Nuriza, Adjeng Putri; Novalia, Elfina
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4993

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan ulasan pengguna aplikasi Tokopedia ke dalam empat kategori utama: fitur aplikasi, layanan, pembayaran, dan promosi. Sebanyak 1.500 ulasan dikumpulkan melalui teknik web scraping dari Google Play Store dan diolah menggunakan tahapan preprocessing seperti tokenization, stopword removal, dan stemming. Klasifikasi dilakukan dengan menggunakan algoritma Multinomial Naive Bayes. Dari 458 data uji, model menghasilkan akurasi sebesar 83,41%, dengan nilai precision tertinggi pada kategori fitur aplikasi sebesar 0,89 dan recall tertinggi pada kategori pembayaran dan promosi sebesar 0,97. Hasil tersebut menunjukkan bahwa algoritma Naive Bayes efektif dalam mengelompokkan ulasan secara otomatis dengan rata-rata kinerja makro sebesar 0,84 (precision), 0,83 (recall), dan 0,83 (f1-score). Kontribusi utama dari penelitian ini adalah penerapan metode klasifikasi teks yang dapat membantu Tokopedia mengidentifikasi aspek layanan yang paling sering dibicarakan oleh pengguna, sehingga dapat mendukung pengambilan keputusan yang lebih terarah.
IMPLEMENTASI USER INTERFACE PADA WEBSITE COMPANY PROFILE MENGGUNAKAN METODE DESIGN THINKING Tamala, Evi; Huda, Baenil; Novalia, Elfina; Hananto, Agustia
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: 10.31849/9pwc1780

Abstract

CV. Smart Motecare Mandiri bergerak di bidang penyedia perangkat teknologi informasi serta layanan instalasi dan perawatan peralatan tersebut. Seiring dengan pesatnya perkembangan teknologi informasi, perusahaan ini menyadari pentingnya keberadaan sebuah website sebagai sarana komunikasi dan promosi yang efektif. Website menjadi platform penting untuk menyampaikan informasi mengenai produk, layanan, serta profil perusahaan. Penelitian ini bertujuan untuk merancang website company profile CV. Smart Motecare Mandiri dengan memanfaatkan metode Design Thinking, yang mengarah pada pengetahuan yang komprehensif mengenai keperluan pengguna serta penyelesaian masalah yang dihadapi perusahaan. Proses perancangan mencakup tahapan Empathize, Define, Ideate, serta pembuatan desain dan prototype, yang kemudian diimplementasikan dalam pembuatan website menggunakan platform WordPress. Setelah website selesai dibuat, pengujian dilakukan dengan metode SUS untuk mengukur tingkat kegunaan website. Hasil pengujian menunjukkan skor akhir SUS sebesar 68,00, yang termasuk dalam kategori "marginal high" dan menunjukkan bahwa website yang dirancang efektif dalam memenuhi tujuan perusahaan. Website ini diharapkan dapat menjadi sarana promosi digital yang meningkatkan citra profesional perusahaan dan mempermudah calon pelanggan dalam memperoleh informasi.
Implementation of The Seasonal Autoregressive Integrated Moving Average Predictive Model on Raw Material Usage Data at PT. Plastik Karawang Flexindo Alfiansyah, Muhammad Rindra; Tukino, Tukino; Hananto, Agustia; Novalia, Elfina
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.867

Abstract

Fluctuations in raw material utilization in the manufacturing industry significantly impact production process efficiency, operational costs, and supply chain stability. Inaccurate planning and management of raw material inventories can lead to two extreme conditions: excess stock, which increases storage costs and the risk of expiration, or stock shortages, which could halt the production process and reduce productivity. To improve the accuracy of raw material consumption planning, this study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict raw material needs periodically based on historical data. The dataset used includes the consumption of Polyethylene (PE), High Density Polyethylene (HDPE), and Polypropylene (PP) from 2019 to 2025. The data is analyzed using a time series forecasting approach to identify trends and seasonal patterns. The SARIMA model is developed and optimized using three methods to search for the best parameters: Grid Search, Random Search, and Bayesian Optimization, to enhance prediction performance. The model's evaluation calculates the Mean Absolute Percentage Error (MAPE) as an accuracy indicator. The evaluation results show that although SARIMA can recognize seasonal patterns in raw material consumption, the prediction accuracy varies, with the best MAPE value being 16% and the highest being 34%. This indicates that external factors, such as market dynamics, government policies, global price fluctuations, and internal variables such as production schedules and customer demand, need to be considered to improve the model's precision. Overall, the application of SARIMA in this context provides a strategic contribution to supply chain management in the manufacturing industry, particularly in anticipating raw material needs, reducing uncertainty, and supporting more efficient and adaptive data-driven decision-making.
Analisis Status Pembayaran Group Order NooBlue Menggunakan Algoritma XGBoost Surala, Lyvia; Tukino; April Lia Hananto; Elfina Novalia; Fitria Nurapriani
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 4 (2025): EDISI JULI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i4.11279

Abstract

Pertumbuhan pesat ekonomi digital telah mendorong meningkatnya penggunaan layanan transaksi daring, termasuk sistem pemesanan kelompok. Namun, tantangan baru turut muncul, khususnya dalam hal keandalan informasi terkait status pembayaran pelanggan. Permasalahan seperti keterlambatan atau kegagalan pembayaran dapat memengaruhi kestabilan keuangan bisnis. Oleh karena itu, penelitian ini bertujuan untuk membangun model prediksi status pembayaran pelanggan menggunakan algoritma Extreme Gradient Boosting (XGBoost). Data yang digunakan berasal dari transaksi NooBlue Shop pada Maret 2025, yang terdiri dari 403 entri. Proses analisis mencakup tahapan pra-pemrosesan data, pembagian data menjadi data latih dan uji dengan rasio 60:40, serta pelatihan model XGBoost. Model dievaluasi menggunakan metrik klasifikasi seperti akurasi, precision, recall, F1-score, dan confusion matrix. Hasil pengujian menunjukkan bahwa model mampu mengklasifikasikan status pembayaran dengan tingkat akurasi mencapai 90%. Nilai precision dan recall masing-masing berada pada kisaran 0.89–0.93, sedangkan F1-score menunjukkan performa yang seimbang untuk kedua kelas. Analisis lebih lanjut menunjukkan bahwa fitur total pembayaran dan uang muka merupakan kontributor utama dalam proses prediksi. Temuan ini menunjukkan bahwa penerapan XGBoost dapat memberikan solusi yang efektif dalam membantu perusahaan memantau status pembayaran pelanggan secara otomatis dan responsif, serta mendukung pengambilan keputusan berbasis data secara lebih tepat dan efisien di tengah dinamika ekonomi digital.
Desain Front End Aplikasi Toko Sepatu Dixstore10 Menggunakan Metode Design Thinking Wahyu Aziz Ramadhani; Bayu Priyatna; Elfina Novalia
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1424

Abstract

The objective of this study is to formulate the design of Dixstore10's front-end application interface by applying the design thinking method, which focuses on user needs. Dixstore10 is a local shoe store that supports local products and offers quality shoes to different groups. In this study, the design thinking approach is implemented in five main steps, which form the core of this method. In the "Empathize" phase, surveys and interviews are conducted to further understand user needs. In the next phase, "Define," the main problems to be solved are clearly formulated. This process develops user goals, which form the basis for developing the design structure. "Ideate" visualizes the initial concept through a sitemap, while "Prototype" represents the solution design using HTML, CSS, and JavaScript technologies. The tests were conducted using the System Usability Scale (SUS) method and yielded an average score of 80.3, indicating positive user acceptance of the designed interface. The results of this study not only make an important contribution to the development of the Dixstore10 application, but also serve as a reference for other MSMEs in designing user-centric digital platforms. The iterative approach ensures relevant and functional solutions to support the growth of the MSME sector.
KLASIFIKASI ULASAN APLIKASI KOPI KENANGAN PADA GOOGLE PLAYSTORE MENGGUNAKAN ALGORITMA NAIVE BAYES Fadli, Muhammad Abil; tukino, Tukino; Novalia, Elfina; Hananto, April Lia
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7037

Abstract

Aplikasi Kopi Kenangan merupakan aplikasi yang digunakan untuk pemesanan minuman secara online milik perusahaan PT Bumi Berkah Boga. Selain hal tersebut aplikasi ini juga membantu perusahaan menerima ulasan terkait pengalaman pelanggan dalam menggunakan layanan aplikasi kopi kenangan. Namun ulasan pelanggan di Google Playstore memiliki jumlah data yang banyak sehingga sulit dianalisis secara manual. Tujuan penelitian ini melakukan klasifikasi ulasan pelanggan pada aplikasi Kopi Kenangan mempergunakan algoritma Naïve bayes. Metode penelitian ini meliputi pengumpulan data, preprocessing, pemodelan dan evaluasi. Data yang dipergunakan dalam penelitian ini yaitu sebesar 1000 data dengan lima kategori yaitu promo, pelayanan, performa aplikasi, transaksi dan kualitas produk. Hasil penelitian menunjukkan bahwa kategori ulasan terbanyak adalah tentang performa aplikasi dengan persentase 45% dari total 1000 data ulasan. Hasil akurasi penelitian yaitu sebesar 85% yang menunjukkan bahwa model dapat melakukan klasifikasi data kategori sentimen dengan cukup baik.
IMPLEMENTASI DESIGN USER INTERFACE APLIKASI WORKPERMIT BERBASIS WEB DI PT.AICC MENGGUNAKAN METODE WATERFALL Zhalifunas, Satria Dawas; Priyatna, Bayu; Novalia, Elfina
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7054

Abstract

Perkembangan Perkembangan teknologi informasi mendorong otomatisasi sistem perizinan kerja (Work Permit) yang krusial untuk keselamatan industri manufaktur. PT. AICC menghadapi tantangan pengelolaan Work Permit manual yang menyebabkan keterlambatan dan hilangnya dokumen. Penelitian ini bertujuan merancang dan mengimplementasikan antarmuka pengguna (UI) aplikasi Work Permit berbasis web untuk meningkatkan efisiensi dan keselamatan operasional. Metode Waterfall digunakan dalam pengembangan, meliputi analisis, desain, implementasi, pengujian, dan penyebaran, dengan Framework CodeIgniter 3, PHP, dan HeidiSQL sebagai teknologi utama. Data dikumpulkan melalui observasi alur kerja manual dan wawancara dengan tim Safety (SHE), HRGA, dan Supplier. Hasil pengujian Black-Box menunjukkan aplikasi Work Permit berbasis web berhasil mengotomatisasi proses pengajuan dan persetujuan. Seluruh fungsionalitas utama, seperti manajemen data supplier dan proyek serta alur persetujuan berjenjang, berfungsi optimal. Implementasi ini secara efektif meningkatkan efisiensi operasional dan keselamatan kerja di PT. AICC.
Co-Authors Abdul Hafiz Agustina, Alvi Ahmad Fauzi Ahmad, Sandi Al Khadzik, Fahmi Alfiansyah, Muhammad Rindra Ani Ani Anita Saptiani Apriade Voutama April Hananto April Lia Hananto Arif Budimansyah Purba atikah, dwi Aurel Adhitya Anwar Aviv Yuniar Rahman Awal, Elsa Elvira Awaljan Situmorang Awaludin, Sidqi Baenil Huda Baenil Huda baktria, leonyka Bayu Yoga Astario Cahya Diningrat Desfianthy, Fatiya Hanifah Emilia Sukmawati, Cici Fadli, Muhammad Abil Faisal, Muhamad Agus Firdaus, Mohamad Ricky Fitri Nur Masruriyah, Anis Fitria Nurapriani Garno garno, Garno Gefira Rahmaifha Goenawan Brotosaputro Gugy Guztaman Munzi Hananto , Agustia Hananto, Agustia Henry Adam Hilabi, Shofa Shofiah Hilabi, Shofa Shofiah Huban Kabir Huda, Baenil Indra, Jamaludin Iqbal Maulana Irawan, Agung Susilo Yuda Juwita, Ayu Ratna kastiawan, Nurhayadi Lestari, Renita Lutfiah, Siti Muhamad Djaka Permana Muhamad Helmi Fauzi Nijunnihayah, Uktupi Nur ‘Azah Nurapriani, Fitria Nuriza, Adjeng Putri Nurmayanti, Trisya Paryono, Tukino Prasetya, Rafli Pratama, Daffa Agung Prayono, Tukino Priyatna, Bayu Purba, Arif Budimansyah Rian Pratama Sandi Ahmad Saptiani, Anita Seia Piantara Setiawan, Pratama Wahyu Setiawan, Pratama Wahyu Setiawan, Revi Shofa Shofia Hilabi Shofiah Hilabi, Shofa Situmorang, Awaljan Sopian, Jajang Sukmawati, Cici Emilia Surala, Lyvia Syafana, Vinka Syahri Susanto Tamala, Evi TARMUJI TARMUJI, TARMUJI Tejayanda, Rigger Damaiarta Tita Puspita Sari Tukino Tukino, Tukino Tukino, Tukino tukino, tukino Wahyu Aziz Ramadhani Wahyu, Pratama Widyanti, Tyas Wirlandika, Devri Yoga Astario, Bayu Yusup, Dadang Zhalifunas, Satria Dawas