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All Journal JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Dedy Apriyadi
Sekolah Tinggi Manajemen Informatika dan Komputer Bandung
Computer Science & IT

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Aplikasi Sistem Pemesanan dan Penyewaan Sarana Olahraga (Sarola) Menggunakan Android Dedy Apriyadi; Indra Maulana Yusup Kusumah; Heldan Muhammad Haidar
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 11 No 1 (2022): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v11.i1.96

Abstract

The Sports Facility Application is one part of the long-distance sports facility booking and rental information system via internet technology media using the Android operating system. Booking and renting sports facilities carried out by most sports facility locations, one of which is the subject of the author's research, namely BCNY HOUSE, where activities related to booking and renting sports facilities are still carried out conventionally and it is difficult to obtain information in real time. The marketplace concept applied to the Sports Facility Application is expected to be a solution to the obstacles that exist in conventional sports facility booking and rental methods. This system aims to provide convenience to sports facility renters and sports facility owners, where this application will be a bridge between renters and owners of sports facilities and will be a container for various other sports facilities. This application offers various conveniences to obtain real-time information related to booking and renting sports facilities. The research was conducted using Qualitative methodology, with data collection research methods implemented at BCNY HOUSE and Software Development methods using the waterfall method (Classic Life Cycle). The model described by Roger S. Pressman (1992:24) has general steps including Analysis, Design, Implementation (Program Code Implementation), Testing and Deployment & Maintenance (Application & Maintenance). The implementation of this Sports Facility Application is made with facilities including sports facility management, field data management, facility information management, booking management, profile management, facility schedule management and report information management for admins.
Penerapan Sistem Pencarian Abstrak Jurnal Berdasarkan Kata Kunci Menggunakan Algoritma Naive Bayes Studi Kasus Abstrak Jurnal STMIK Bandung Dedy Apriyadi; Haris Irnawan; Syiffa Nurjayanti
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 11 No 2 (2022): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v11.i2.106

Abstract

Pencarian dokumen merupakan upaya kegiatan pencarian untuk menghasilkan informasi yang dicari, Seiring dengan berkembangnya teknologi yang efektif digunakan serta dalam penyajian informasi secara detail kebutuhan konsumen terhadap informasi dalam bentuk jurnal atau artikel ilmiah semakin meningkat. Naive Bayes merupakan Algoritma penggalian data dalam pencarian pola text, algoritma ini dapat membantu pencaria dokumen dengan penerapan metode k-gram, ekstraksi dokumen, dan nilai similarity serta extreme programming sebagai metode pengembangan perangkat lunak, untuk membantu dalam pencarian (abstrak jurnal) berdasarkan kata kunci.
Pengelolaan Inventaris Aset Desa Metode Perhitungan Depresiasi Menggunakan Straight Line di Kantor Desa Cisalak Kecamatan Cibeber Dayanni Vera Versanika; Yandi Sopiandi; Dedy Apriyadi
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 13 No 2 (2024): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v13.i2.110

Abstract

Pengelolaan inventaris yang baik akan membantu desa untuk menghindari kerugian finansial akibat kehilangan atau kerusakan aset, menjaga nilai aset, dan meningkatkan pelayanan kepada masyarakat. Setiap aset yang digunakan tidak dapat digunakan secara terus menerus sebab akan mengalami penurunan nilai, hal ini menyebabkan masa manfaat dan nilai guna aset semakin berkurang dari waktu ke waktu sehinga perlu adanya pertimbangan atau kebijakan yang tepat dengan adanya penyusutan. Kantor Desa Cisalak akan lebih sesuai apabila diterapkan metode depresiasi straight line dimana penyusutan suatu aset yang dilakukan dalam bagian-bagian yang sama besar selama masa manfaat yang ditetapkan bagi aset tersebut sehingga lebih mudah dalam menentukan nilai penyusutan. Pengelolaan inventaris yang dilaksanakan di Kantor Kepala Desa Cisalak masih dilakukan pencatatan secara manual atau menggunakan sistem yang tidak terkomputerisasi. Hal ini seringkali menyebabkan berbagai masalah, seperti ketidakakuratan perhitungan depresiasi, kesulitan dalam pemantauan inventaris, dan pengambilan keputusan yang kurang efektif terkait perawatan dan penggantian aset. Metode perhitungan straight line dapat disajikan untuk memprediksi penurunan nilai inventaris aset desa, hal ini didasarkan pada metode garis lurus nilai dan fungsi aset akan terus menurun sejalan dengan pemanfaatan aset tersebut, yaitu beban penyusutan setiap periode besarannya selalu sama. Inventaris desa mencakup berbagai jenis aset, seperti, bangunan, peralatan, kendaraan, dan barang-barang lainnya yang digunakan untuk kegiatan administrasi dan pelayanan masyarakat di desa.
Perancangan Sistem Informasi Literasi Menggunakan Metode R&D Di SMK Gema Pelita Dani Pradana Kartaputra; Dedy Apriyadi; Sulastri Sulastri3
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 12 No 2 (2023): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12.i2.114

Abstract

Students' interest in reading at various levels of education has continued to decline in recent years. This decline in reading interest can have a negative impact on students' academic abilities and personal development. Therefore, increasing students' interest in reading is a major challenge in the world of education. To face this challenge, researchers developed a Literacy Information System Using the R&D Method at Gema Pelita Vocational School which aims to increase students' interest in reading through innovative technology-based approaches. The Literacy Information System that was built provides access to various reading materials according to students' reading interests. Apart from that, there is also a literacy event feature which aims to develop students' writing literacy skills. This Literacy Information System also provides a recapitulation of student reading, graphs of student reading literacy progress, and literacy progress statistics to see the literacy progress of each student. With this Literacy Information System, it is hoped that students will be able to increase their interest in reading and be able to develop their creativity through the works they create.
Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Komentar Spam Pada Instagram Uro Abdurohim; Dedy Apriyadi; Arya Devi Listiani
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 13 No 1 (2024): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v13.i1.132

Abstract

Instagram is a photo and video sharing application that allows users to take photos, take videos, apply digital filters, and share them on various social networking services. Public figures,  specially actors, actresses, influencers and Instagram celebrities, use Instagram as a platform to promote their various activities or works to their fans or followers. However, there are a lot of spam comments on these posts, both good and bad. This research obtained comment data from Instagram to be used as a dataset, namely from public figures, actresses and actors who have more than 5 million followers. By using preprocessing (data cleansing, tokenization, case folding and stopword removal) and TF-IDF for weighting, selecting the kernel you want to use and training the SVM model in the classification process. We need a system that can classify whether comment are spam or not spam. The method used is Support Vector Machine is a machine learning method that has the working principle of structural risk minimization aimed at finding hyperplanes or separators between two classes in an input space. From the test results it was found that the performance of the proposed an accuracy level of 96.82%, precision 94%, recall 92%, and f1-score 93%.
Co-Authors Arya Devi Listiani Dani Pradana Kartaputra Dayanni Vera Versanika Haris Irnawan Heldan Muhammad Haidar Indra Maulana Yusup Kusumah Sulastri Sulastri3 Syiffa Nurjayanti Uro Abdurohim Yandi Sopiandi