Garuda - Garba Rujukan Digital

SISTEM REKOMENDASI MUSIK MENGGUNAKAN LATENT SEMANTIC ANALYSIS Saptariani, Trini; Pramana, Ekky; Shabrina, Fakhria Nur; Theodora, Ruth; Sabrina, Angellica Octavianzy
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Perkembangan industri musik meningkat dengan sangat cepat, terutama secaraonline. Masyarakat kini lebih memilih untuk membeli musik secara onlinedibandingkan dengan membeli musik dalam bentuk CD. Hal ini dikarenakankemudahan yang ditawarkan oleh penyedia layanan musik online bagi penggunauntuk menemukan lagu yang ia inginkan dengan memanfaatkan persamaan semantikuntuk melakukan pencarian tanpa harus repot-repot pergi ke toko. Tujuan dari paperini adalah merancang sistem rekomendasi musik baru yang didasari oleh metodeLatent Semantic Analysis (LSA). Metode ini akan melakukan pencarian berdasarkanriwayat musik yang diakses oleh pengguna. Dengan membandingkan user behaviordengan basis data musik yang terstruktur maka akan didapatkan hasil pencarian danrekomendasi musik yang lebih relevan dan lebih bersifat personal. Diharapkandengan metode ini layanan musik online akan memberikan pengalaman akses yanglebih baik lagi sehingga layanan musik dapat mencari, mengklasifikasikan, danmengintegrasikan informasi yang lebih akurat dan menghasilkan hasil yang lebihrelevan.

Accelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm Trini Saptariani; Sarifudin Madenda; Ernastuti Ernastuti; Widya Silfianti
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

In this paper, we propose a quantized YCbCr color space (QYCbCr) technique which is employed in standard JPEG. The objective of this work is to accelerate computational time of the standard JPEG image compression algorithm. This is a development of the standard JPEG which is named QYCBCr algorithm. It merges two processes i.e., YCbCr color space conversion and Q quantization in which in the standar JPEG they were performed separately. The merger forms a new single integrated process of color conversion which is employed prior to DCT process by subsequently eliminating the quantization process. The equation formula of QYCbCr color coversion is built based on the chrominance and luminance properties of the human visual system which derived from quatization matrices. Experiment results performed on images of different sizes show that the computational running time of QYCbCr algorithm gives 4 up to 8 times faster than JPEG standard, and also provides higher compression ratio and better image quality.

ANALISIS PENGARUH PINJAMAN MACET (PM) DAN RASia KECUKUPAN MODAL (RKM) TERHADAP PENGEMBALIAN EKUITA$ (PE) BANK SYARIAH KASUS PT BANK MUAMALAT INDONESIA, T8K. Syahril Syahril; Trini Saptariani
Majalah Ilmiah Ekonomi Komputer 2006: Majalah Ilmiah Ekonomi Komputer Edisi Desember
Publisher : Majalah Ilmiah Ekonomi Komputer

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Tujuan penelitian adalah untuk menganalisis pengaruh dari Pinjaman Macet (PM) dan Rasio Kecukupan Modal (RKM) terhadap Pengembalian Ekuitas (PE) bank syariah dalam hal ini adalah Bank Muamalat. Metode perhitungan rasio keuangan terdiri dari PM, RKM dan PE. Teknik analisis yang digunakan untuk pengujian hipotesisnya adalah analisis korelasi parsial dan analisis korelasi berganda. Berdasarkan hasil analisis korelasi parsial menunjukkan bahwa PM mempunyai pengaruh yang kuat terhadap PE dan RKM mempunyai pengarah yang relatif lemah terhadap PE bank syariah. Sedangkan hasil analisis korelasi berganda menunjukkan bahwa secara bersama PM dan RKM mampu mempengaruhi PE bank syariah dengan tingkat signifikasi sebesar 72,40%, sedangkan sisanya sebesar 27,60% dipengaruhi oleh variabel lainnya yang tidak diperhitungkan dalam analisis penelitian ini. Kata kunci : rasio keuangan, modal, aset, ekuitas

PERSPESI HARGA E.S.Margianti E.S.Margianti; Trini Saptariani; Hotniar Sirongoringo
Jurnal Ilmiah Ekonomi Bisnis Vol 13, No 3 (2008)
Publisher : Universitas Gunadarma

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Tujuan dari penelitian ini adalah mengevaluasi persepsi harga yang ditawarkan didua toko ritel besar, yaitu took ritel Carrefour dan Giant dii Jl. Margonda RayaDepok. Data diikumpulkan menggunakan teknik survey. Kuesioner digunakansebagai instrumen penelitian, dan didistrbusikan ke konsumen yang melakukanpembelian barang kebutuhan sehari-hari pada kedua toko. Data yang terkumpuldiolah menggunakan teknik statistik, yaitu teknik multi level persamaan struktural.Hasil menunjukkan bahwa tidak ada perbedaan yang nyata persepsi harga yangditawarkan pada kedua toko.

PRICE PERCEPTION E. S. Margianti; Trini Saptariani; Hotniar Sirongoringo
Jurnal Ilmiah Ekonomi Bisnis Vol 13, No 3 (2008): ENGLISH
Publisher : Universitas Gunadarma

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This research is intended to investigate consumer price perception which is set up by two (2) big retail chains. However, research variable is subjected to consumer opinion, so that survey research was deployed to gather data needed. Questionnaire, as research instrument, was distributed to consumers who perform convenience shopping goods at two chains, i.e. Carrefour and Giant in Depok city. As research variables are latent in nature, multilevel structural equation modeling was used to analyze data collected. Result shows that there’s no different price perception between two chains.Key words : perceived price, chain, shopping goods, retailer, consumer

Prototipe Sistem Keamanan Pintu Inkubator Bayi melalui Pengenalan Wajah menggunakan Kamera Web dan OpenCV berbasis Raspberry Pi Nur Sultan Salahuddin; Nur Iramadhan; Sri Poernomo Sari; Trini Saptariani
Techno.Com Vol 21, No 3 (2022): Agustus 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i3.6273

Kasus kehilangan bayi sering terjadi di rumah sakit/bersalin yang biasanya pelaku sering menyamar sebagai tenaga medis. Hal ini terjadi karena belum maksimalnya keamanan bayi di rumah sakit/bersalin sehingga perlunya dibuat sistem yang dapat mencegah terjadinya penculikan ini. Sistem keamanan pintu inkubator bayi telah di rancang menggunakan solenoid sebagai media pengunci dan kamera web untuk mendeteksi dan mengenali wajah yang ingin mengakses/membuka pintu inkubator bayi menggunakan OpenCV library dengan Histogram Pola Biner Lokal dan Pengklasifikasi Kaskade Haar. Hasil ujicoba menunjukkan bahwa sistem keamanan inkubator bayi mampu melakukan pendeteksian sekaligus pengenalan wajah pengguna berdasarkan database wajah yang sudah tersimpan di sistem. Pintu inkubator bayi akan terbuka jika wajah pengguna sudah terdaftar di sistem. Prototipe Sistem keamanan inkubator bayi dengan pengenalan wajah ini menjadi solusi untuk mencegah penculikan/kehilangan atau tertukarnya bayi di rumah sakit/bersalin.

Sistem Pemantau Intensitas Curah Hujan Berbasis WEB : Array Febrin Ludia Ramadini; Nur Sultan Salahuddin; Sri Poernomo Sari; Trini Saptariani
Jurnal Ilmiah Komputasi Vol. 19 No. 4 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 4, Desember 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.4.399

Data curah hujan banyak diperlukan untuk berbagai kepentingan, misalnya untuk bahan pertimbangan dalam merencanakan suatu bangunan sipil, untuk keperluan pertanian atau untuk menjelaskan suatu kejadian yang erat hubungannya dengan hujan seperti halnya kejadian banjir, kegagalan panen disuatu daerah dan sebagainya. Upaya untuk memenuhi kebutuhan data curah hujan bagi masyarakat telah banyak dilakukan dengan mengembangkan alat ukur curah hujan yang telah ada. Sistem pemantau intensitas curah hujan berbasis web telah berhasil dibuat. Sistem ini terdiri dari mikrokontroler NodeMCU ESP8266, sensor FC-28, motor servo, ball valve, corong dan thinger.io. Hasil uji coba sistem ini telah dapat menghitung jumlah intesitas curah hujan dan mengirim data hasil perhitungan ke pengguna melalui web dan aplikasi. Pengiriman data melalui web jauh lebih baik dari pengiriman data melalui aplikasi, dengan error dibawah 6%. Teknologi Web pada perangkat curah hujan otomatis diharapkan dapat membantu memecahkan permasalahan yang berkaitan dengan kebutuhan data curah hujan saat ini sehingga data curah hujan dapat diperoleh lebih cepat, akurat dan dapat diakses dimana saja dan oleh siapa saja yang membutuhkan.

Diversity in the film industry: A social network analysis of #cannes2022 on Twitter Rizky Wulan Ramadhani; Edy Prihantoro; Sabrina Rahma Utami; Trini Saptariani; Anacostia Kowanda
ProTVF Vol 7, No 1 (2023): March 2023
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ptvf.v7i1.43106

Background: The 2022 Cannes Film Festival was held from May 17 – 28, 2022, in Cannes, France. The 2022 Cannes Film Festival succeeded in attracting public attention, shown through tweets using #Cannes2022 uploaded in various languages, which show diversity. Purpose: This study aims to determine the distribution of the #Cannes2022 data at the actor level and the diversity of languages used in the #Cannes2022. Methods: The method of this research is a mixed method by combining quantitative and qualitative methods. Quantitative methods were used to obtain 2,500 tweets using the Netlytic application. Qualitative methods were used to analyze the language used in those tweets. Results: The results of this study indicate that @festival_cannes, @21metgala, @iuteamstarcandy, and @filmupdates are famous and important actors because they always provide updates related to Cannes 2022. Those actors initiate the #Cannes2022 communication network and become reference material. In the #Cannes2022 communication network, there are 24 languages used, including English, Thai, Japanese, French, and Spanish. English is dominant, with a percentage of 51.96%, followed by French, with a percentage of 31.48%. English and French are dominant because popular actors use them in disseminating information about Cannes 2022. Other languages are not dominant because actors with few followers only upload them. The language used in the #Cannes2022 communication network is already quite diverse but still dominated by English. Implications: Popular actors should use other languages to increase diversity at the Cannes Film Festival.

Development of a Robotic System for Agricultural Pest Detection: A Case Study on Chili Plants Nur Sultan Salahuddin; Fathi Muthia Tarie; Trini Saptariani
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1152

Chili peppers, a key agricultural commodity in Indonesia, are highly susceptible to pest infestations and diseases, leading to significant economic losses and challenges in sustainable farming. This study presents the design and implementation of a real-time pest detection system that integrates robotics, computer vision, and deep learning to enhance agricultural productivity. The system is built on a Raspberry Pi 5 and Arduino Mega Pro Mini, utilizing a camera for image capture and ultrasonic sensors for navigation. A ResNet-based model was trained on a dataset of 2,703 chili leaf images, categorized into healthy and diseased classes, achieving a detection accuracy of 91%. The system provides early warnings to farmers through a web-based interface, allowing timely intervention and reducing reliance on chemical pesticides. While promising, the system faced challenges such as environmental variability, which influenced image recognition accuracy. By automating pest detection and promoting precision farming, this innovation addresses the need for sustainable agricultural practices, contributing to global food security and reducing environmental impact.

Development of a Robotic System for Agricultural Pest Detection: A Case Study on Chili Plants Salahuddin , Nur Sultan; Fathi Muthia Tarie; Saptariani, Trini
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1152

Chili peppers, a key agricultural commodity in Indonesia, are highly susceptible to pest infestations and diseases, leading to significant economic losses and challenges in sustainable farming. This study presents the design and implementation of a real-time pest detection system that integrates robotics, computer vision, and deep learning to enhance agricultural productivity. The system is built on a Raspberry Pi 5 and Arduino Mega Pro Mini, utilizing a camera for image capture and ultrasonic sensors for navigation. A ResNet-based model was trained on a dataset of 2,703 chili leaf images, categorized into healthy and diseased classes, achieving a detection accuracy of 91%. The system provides early warnings to farmers through a web-based interface, allowing timely intervention and reducing reliance on chemical pesticides. While promising, the system faced challenges such as environmental variability, which influenced image recognition accuracy. By automating pest detection and promoting precision farming, this innovation addresses the need for sustainable agricultural practices, contributing to global food security and reducing environmental impact.

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