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Implementasi Database Cloud Buah Pada Vuforia Rahayu, Dewi Agushinta; Jatnika, Ihsan; Medyawati, Henny; -, Hustinawaty
Prosiding Seminar Nasional Darmajaya Vol 1 (2017): SEMNAS IIB DARMAJAYA
Publisher : Prosiding Seminar Nasional Darmajaya

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Abstract

Vuforia adalah Software Development Kit (SDK) untuk perangkat mobile yang memungkinkan pembuatan aplikasi Augmented Reality. Vuforia menggunakan teknologi computer vision untuk mengenali dan melacak gambar real-time dan objek 3D sederhana. Kemampuan pengaktifan gambar memungkinkan pengembang untuk memposisikan dan mengarahkan objek virtual, seperti model 3D dan media lainnya, dapat dilihat melalui perangkat kamera mobile. Objek virtual kemudian melacak posisi dan orientasi gambar secara real-time sehingga perspektif pada objek sesuai perspektif image goal. Vuforia SDK mendukung berbagai jenis target 2D dan 3D termasuk gambar target markerless, konfigurasi multi-target 3D, dan marker frame. Vuforia menyediakan Application Programming Interfaces (API) di bahasa C, Java, Objective-C, dan Net melalui pengembangan ke mesin permainan Unity. Dengan cara ini, SDK mendukung pengembangan asli untuk iOS dan Android sambil memungkinkan pengembangan aplikasi AR pada Unity portabel untuk kedua platform. Aplikasi AR dikembangkan dengan menggunakan Vuforia karena kompatibel dengan berbagai perangkat mobile termasuk iPhone (4/ 4S), iPad, ponsel dan tablet Android yang menjalankan OS Android versi 2.2 atau lebih tinggi dan prosesor ARMv6 dengan Floating Point Unit 7 untuk kemampuan pemrosesan. Vuforia membuat database penyimpanan gambar buah bisa dilakukan dengan kemampuan memori yang diberikan. Artikel ini membahas bagaimana menerapkan database cloud pada Vuforia. Hasil dari implementasi ini adalah database awan dari berbagai jenis buah di Indonesia. Kata kunci—buah, cloud, marker, Vuforia
EVALUASI DAN PENYEMPURNAAN SISTEM INFORMASI PENYELENGGARAAN KURSUS DAN WORKSHOP DI LEMBAGA PENGEMBANGAN KOMPUTERISASI UNIVERSITAS GUNADARMA Jatnika, Ihsan
Majalah Ilmiah Matematika Komputer 2005: MAJALAH MATEMATIKA KOMPUTER EDISI APRIL
Publisher : Majalah Ilmiah Matematika Komputer

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Abstract

Penulisan ini berTujuan untuk mengevaluasi dan menyempurnakan Sistem Informasi Penyelenggaraan Kursus dan Workshop pada Lembaga Pengembangan Komputerisasi (LePKom) Universitas Gunadarma dengan menggunakan pendekatan terstruktur yang dimulai dari evaluasi sistem yang ada, perancangan model sistem, dan pembuatan model perangkat lunak.Dengan menggunakan pendekatan siklus hidup pengembangan sistem (System Development Life Cycle - SDLC), hasil rancangan yang telah dibuat diharapkan dapat menjadi alternatif pemecahanmasalah yang ada pada sistem yang sebelumnya. Kata kunci : sistem informasi, system development life cycle
Augmented Reality Design of Indonesia Fruit Recognition Dewi Agushinta R.; Ihsan Jatnika; Henny Medyawati; Hustinawaty Hustinawaty
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.826 KB) | DOI: 10.11591/ijece.v8i6.pp4654-4662

Abstract

Augmented Reality (AR) is one of the popular technologies nowadays. Along with the technological advances, Augmented Reality is an effort to combine the real world and virtual worlds created through computers so that the boundary between the two becomes very thin because Augmented Reality allows users to interact in real-time with the system. Augmented Reality can be applied in various fields according to the needs of each user. One application is on Android-based mobile hardware applications. This research developed the Augmented Reality battle with some of the features more interactive, interesting and clearer information to facilitate the user in its operation. This Augmented Reality is applied to the Android mobile device with the name of FruitGarden. This paper presented of designing Augmented Reality for recognizing the fruit of Indonesia archipelago which will give a different view of performing the fruit image and information.
EVALUATING HIGHER EDUCATION WEBSITE QUALITY USING WEBQUAL 4.0 AND IMPORTANCE PERFORMANCE ANALYSIS (IPA) Murdoko, Wiji; Jatnika, Ihsan
Jurnal Pilar Nusa Mandiri Vol. 20 No. 2 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i2.5789

Abstract

LLDikti Region III is a unit operating under the Ministry of Education, Culture, Research, and Technology, responsible for promoting the enhancement of higher education quality in Jakarta. One of the media used by LLDikti Region III to serve stakeholders is through its website; therefore, the quality of services on the website must be continuously enhanced. The aim of this research is to determine whether the LLDikti Region III website meets user expectations, measured using the Webqual 4.0 method and Importance-Performance Analysis (IPA). Usability, information quality, and service interaction quality that will be used to evaluate the quality of this website. The respondents consist of members of the academic community from universities within the LLDikti Region III. Data was collected through an online questionnaire using stratified sampling techniques with 165 respondents. The results of this study show that 54.9% of the website's quality affects user satisfaction, while the remainder is influenced by variables not tested in this study. Based on the analysis conducted using the IPA method, several indicators in quadrant I still require significant attention, as they are considered important by users but have low performance. From these findings, the researcher suggests developing the website in areas where performance is low, particularly for indicators in quadrant I.
Penerapan Metode User Centered Design (Ucd) Pada Modul Rekomendasi Website Sijati Syahrul, Elfitrin; Fitrianingsih, Fitrianingsih; Jatnika, Ihsan; Khairunnisa, Aprillia Intan; Agushinta , Dewi
Jurnal Ilmiah Komputasi Vol. 23 No. 4 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 4, Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.4.3760

Abstract

Perkembangan sektor transportasi di Indonesia membutuhkan sistem informasi yang handal dan terintegrasi, khususnya dalam pengelolaan jabatan fungsional transportasi di Kementerian Perhubungan. Sistem Informasi Jabatan Fungsional Transportasi (SIJATI) yang dimiliki Pusat Pembinaan Jabatan Fungsional Transportasi (Pusbin JFT) masih dilakukan semi-manual. Satu dari empat modul yang dikembangkan adalah modul Rekomendasi. Metode User Centered Design (UCD) sebagai salah satu metode pengembangan UI/UX digunakan untuk modul ini dengan menempatkan pengguna sebagai pusat desain dalam setiap tahapannya. Metode ini melibatkan proses iteratif, dimulai dari analisis kebutuhan hingga pengujian dan evaluasi desain antarmuka oleh pengguna. Hasil pengembangan berupa prototipe menunjukkan bahwa website SIJATI mampu mempermudah pelayanan administrasi bagi pejabat fungsional transportasi. Hasil Index Percentage (IP) pengujian dari 31 responden sebesar 64,08%, menunjukkan bahwa penerapan UCD dapat dikatakan baik dalam meningkatkan efektivitas dan efisiensi sistem. Penerapan metode UCD terbukti meningkatkan kepuasan pengguna dengan menghadirkan antarmuka yang intuitif serta navigasi yang jelas. Rekomendasi untuk terus memperbaiki desain dan meningkatkan keamanan dan performa sistem dilakukan guna mendukung skala pengguna yang lebih luas di lingkungan Kementerian Perhubungan
Analisis Kepuasan Pengguna Aplikasi Bibit Robo Advisor Investasi Reksadana, SBN, Obligasi, dan Saham Menggunakan Model ISO 25010 Apriana, Doha; Jatnika, Ihsan
Journal Global Technology Computer Vol 4 No 2 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i2.7143

Abstract

The Bibit application is one of the mutual fund applications in Indonesia with the fastest acceptance rate in Indonesia. The app was launched to the public in 2019. The number of users of this application exceeds the number of users of other mutual fund applications that have existed before. What factors cause the Bibit application to get a large number of users, can be known through a study on user satisfaction. This study was conducted with the aim of analyzing user satisfaction using ISO 25010. The characteristics to be analyzed include Functional Suitability, Performance efficiency, usability and maintainability. Data collection was carried out through questionnaires, and data drying using a Likert scale. This study also uses the Analytical Hierarchical Process (AHP) method to find out what factors are considered important by users. The results of the study show that the factors that are considered important by users are functional suitability, performance efficiency, usability and maintainability. The results of the study also show that overall the Bibit application is in the good category.
Development of a Classification Model for Underpriced Issuers Using Machine Learning Algorithms Hidayatullah, Defitra; Jatnika, Ihsan
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9769

Abstract

This study develops a classification model to identify underpriced Initial Public Offering (IPO) issuers so that it can help investor decision-making. Using the CRISP-DM methodology, this research uses a sample of 209 non-banking IPO issuers of the OJK E-IPO platform (since establishment until December 31, 2024). In addressing the problem of class imbalance (161 underpriced and 48 not underpriced), SMOTE was used. The model utilizes nine features: Year-on-Year, IHSG, IPO price, ratio of shares issued, age of the firm, size of the firm, sales growth, Return on Assets (ROA), Debt to Equity Ratio (DER), and Asset Turnover Ratio (ATO). Seven classifier algorithms were compared based on accuracy, precision, sensitivity, recall, F1-score, and AUC. Random Forest had the best performance with 89.2% accuracy, 88.9% Macro Average F1-score, and an AUC of 0.946. The findings suggest that the Random Forest model accurately identifies underpriced IPO issuers as a good investment decision-making tool. This research demonstrates that machine learning concepts can be implemented to classify underpriced issuers in Indonesia, continuing previous studies that contributed to understanding the correlation and significance of certain variables to underpricing.