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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Simtek : Jurnal Sistem Informasi dan Teknik Komputer REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Ilmiah Pengabdian dan Inovasi
Tria Hikmah Fratiwi
Institut Teknologi Dan Bisnis STIKOM Bali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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RANCANG BANGUN SISTEM AKUISISI DATA UNTUK MENGELOMPOKAN MUSIK PADA PLATFORM MEDIA SOSIAL TIKTOK BERDASARKAN SUASANA HATI Tria Hikmah Fratiwi; I Ketut Putu Suniantara; Tifany Chandrarani
Simtek : jurnal sistem informasi dan teknik komputer Vol. 8 No. 2 (2023): Oktober 2023
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v8i2.264

Abstract

TikTok sebagai platform media sosial dengan jumlah pengguna aktif sebesar 800 juta, memungkinkan organisasi atau perusahaan untuk melakukan kegiatan pemasaran digital melalui konten video ringan dan menghibur dengan memanfaatkan berbagai fitur editing video, salah satunya backsound atau musik latar. Pemilihan musik latar yang sesuai dengan suasana hati yang ingin dicapai adalah poin penting dalam rangka memaksimalkan kekuatan persuasif sebuah konten dalam strategi pemasaran digital. Penelitian mengenai sistem akuisisi data untuk mengelompokkan musik pada aplikasi TikTok berdasarkan suasana hati adalah tahap awal dari perancangan sistem kecerdasan buatan yang mampu menangkap kecenderungan representatif suasana hati dari data musik. Melalui penelitian ini diharapkan dapat membantu masyarakat khususnya pelaku usaha dalam menentukan musik latar yang tepat atau sesuai dengan suasana hati yang ingin dicapai dalam rangka menarik serta meningkatkan keterikatan hubungan antara produk atau jasa dengan konsumen atau calon konsumen. Sehingga strategi brand awareness melalui pemasaran digital menggunakan aplikasi TikTok dapat memberikan hasil maksimal.
Pengembangan Aplikasi Mobile E-Pasraman Hindu untuk Optimalisasi Pengelolaan Data Akademik I Komang Sugiartha; Dw Ayu Agung Indra Swari; Dedy Panji Agustino; Tria Hikmah Fratiwi
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 1 (2025): Volume 9 Nomor 1 Januari 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i1.14387

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi berbasis aplikasi mobile E-Pasraman Hindu sebagai solusi digital untuk optimalisasi pengelolaan data akademik di Pasraman Hindu. Pasraman, sebagai lembaga pendidikan non-formal yang berfokus pada nilai-nilai spiritual dan budaya Hindu, menghadapi tantangan dalam pengelolaan administrasi. Dengan metode Software Development Life Cycle (SDLC) model Waterfall, aplikasi ini dirancang untuk memenuhi kebutuhan spesifik Pasraman, seperti pengelolaan data Acarya (guru), Brahmacari (siswa), kelas, kegiatan, absensi, ujian, dan kuis. Pengujian aplikasi mobile e-Pasraman juga telah diuji menggunakan metode BlackBox Testing. Hasil implementasi dan testing menunjukan seluruh fitur berhasil diimplementasikan dengan baik sesuai harapan dan menunjukkan bahwa aplikasi ini memberikan kemudahan dalam pengelolaan data akademik, meningkatkan efisiensi operasional, transparansi, dan kualitas layanan pendidikan. Fitur-fitur seperti profil pengguna, jadwal, kehadiran, ujian, berita, pembayaran, hingga e-book, mendukung pengelolaan Pasraman secara terintegrasi. Penelitian ini memberikan kontribusi signifikan terhadap modernisasi pendidikan keagamaan Hindu melalui teknologi digital.
Edukasi Urgensi Digital Marketing bagi UMKM di Kota Denpasar Wulandari, Riza; Lilis Yuningsih; Tria Hikmah Fratiwi; I Wayan Gede Lamopia
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 4 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Juni)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v1i4.201

Abstract

Digital marketing is still not thoroughly known by business people. The lack of equal distribution of literacy education regarding information technology, especially in digital marketing, is still a major problem that must be resolved immediately. In addition, there is a lack of resources willing to provide training for MSMEs. The purpose of this community service activity is to analyze and educate the importance of digital marketing for business actors, namely MSMEs in Denpasar City. This activity uses a qualitative method where the data collection technique begins with observation, then interviews, followed by educational transfer. The result of this community service activity is that there are still many MSMEs that have not implemented digital marketing, so that educational transfer activities are considered quite successful in having an impact on MSMEs. The results of this activity are recommended to the academic community or stakeholders to provide digital marketing training evenly. So that business actors in the future will be ready to be competitive.
Implementation of the Hybrid K-Nearest Neighbour Algorithm for Dangdut Music Sub-Genre Classification Tria Hikmah Fratiwi; I Gede Harsemadi; Putu Tjintia Kencana Dewi; Luh Rediasih; M. Alvinnur Filardi; I Dewa Made Dharma Putra Santika
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.v9i4.9702

Abstract

This research focuses on the classification of dangdut sub-genres — classical, rock, and koplo — by collecting 136 songs from Ellya Khadam, Rhoma Irama, and Denny Caknan, each representing distinct eras of dangdut music. From these, 483 music segments of 30 seconds each were extracted and labelled with expert assistance to ensure accuracy. Six spectral features (centroid, skewness, rolloff, kurtosis, spread, and flatness) were computed and stored in a dataset divided into 70% training and 30% testing sets. The Hybrid K-NN algorithm, integrating Genetic Algorithm (GA) to optimize the k parameter, was applied and evaluated through 5-fold cross-validation. GA parameters were set to a population size of 10, 15 generations, 4-bit chromosome length, and 3-fold cross-validation during optimization. Hybrid K-NN achieved the highest accuracy of 74.31% at k=4 with a processing time of 4.86 seconds, outperforming conventional K-NN (68.75% at k=4, 0.04 seconds), Decision Tree (61.11%, 0.42 seconds), and SVM with ECOC (54.86%, 1.99 seconds). The Hybrid K-NN also demonstrated stable performance with an average accuracy of 72.04% and a standard deviation of 2.22 percent, while the average precision, recall, and F1-score were each around 0.72. Confusion matrix analysis revealed frequent misclassification of class 2 as class 1, highlighting a classification challenge. Overall, this research shows that Hybrid K-NN is more effective than the other methods in capturing data patterns, optimizing parameters, and generalizing to unseen data, though at the cost of longer computation time due to GA’s iterative optimization and validation processes.
Diversifikasi Rasa, Manajemen Produksi dan Transformasi Pemasaran: Strategi Kebertahanan Bisnis Farida Bakery Wulandari, Riza; Lilis Yuningsih; Tria Hikmah Fratiwi; I Gusti Ngurah Agung Ananda Putra; Ni Luh Putu Wulandari
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 2 No. 1 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (September)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v2i1.235

Abstract

The sustainability of processed food in Indonesia is inseparable from the role of economic actors, one of which is the home industry. Mrs. Farida Azis is part of the business activists from the home industry business group in Denpasar. The purpose of the community service is to find out 3 aspects partner's problems, namely aspects of flavor diversification, production management, and marketing transformation. The method used in this activity are observations, existing partners, survey of production and support equipment, Distribution of production equipment and flavors, packaging and logo design, distribution/provision of new packaging and logos, marketing transformation. The results of this community service activity have produced solutions from the production management aspect in the form of additional equipment, namely a 3-tray aluminum type oven machine, and an idea life multi-speed Premium Quality Idea life mixer (IL221s). While in the aspect of flavor diversification there are additional variants of cheese, almond, Choco ball flavors. Partners are also supported in terms of marketing aspects which have been given a logo and packaging that includes the partner's identity and marketing transformation, namely from the creation of Instagram social media under the name Farida bake. Overall, all aspects that are an obstacle for partners have received solutions that suit the needs of partners. The activity went well and smoothly and there was hope from the partners that this activity would not only stop until the community service program was completed, but could continue to foster other MSMEs that needed assistance.
Co-Authors Dedy Panji Agustino Dw Ayu Agung Indra Swari I Dewa Made Dharma Putra Santika I Gede Harsemadi I Gusti Ngurah Agung Ananda Putra I Ketut Putu Suniantara I Komang Sugiartha I Wayan Gede Lamopia Lilis Yuningsih Luh Rediasih M. Alvinnur Filardi Made Sudarma Ni Luh Putu Wulandari Nyoman Pramaita Putu Tjintia Kencana Dewi Tifany Chandrarani Wulandari, Riza