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All Journal Jurnal Ilmiah Mahasiswa FEB Publication Library and Information Science Convergence; Jurnal Oneline Jurnalistik Jurnal INFOTEL
Putra, Dwi Permana
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Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Analisis Framing Pada Pemberitaan Bakal Calon Presiden 2024 Pada Media Metro TV Putra, Dwi Permana; Husain, Muh. Najib
CONVERGENCE Jurnal Online Jurnalistik
Publisher : Universitas Halu Oleo

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Abstract

Penelitian ini bertujuan untuk mengetahui pembingkaian berita bakal calon Presiden 2024 pada media Metro TV berdasarkan analisis framing Zhongdang Pan & Kosicki. Teori dan metode penelitian yang digunakan adalah Teori Konstruksi Realitas Sosial Berger & Luckmann, metode penelitian kualitatif, dan analisis framing Zhondang Pan & Kosicki. Data dikumpulkan menggunakan metode observasi, dokumentasi, dan studi literatur. Hasil dari penelitian ini menunjukkan bahwa dari keenam berita yang dikaji menggunakan analisis framing Zhondang Pan & Kosicki, penulis menemukan dari sisi perangkat framing yaitu sintaksis, skrip, tematik dan retoris yaitu Metro TV menunjukan dalam mengkonstruksi realitas sosial dalam pemberitaan bakal calon presiden memiliki kecenderungan pada salah satu calon yaitu Anies Baswedan yang bisa dilihat pada berita 1 dan berita 5 dan bisa dibandingkan dengan berita pada calon lain yaitu Ganjar Pranowo dan Prabowo Subianto. Dari hasil penelitian ini, maka dapat ditarik kesimpulan bahwa Metro TV membangun realitas sosial dengan memberitakan bakal calon Presiden Anies Baswedan dengan tren positif sedangkan calon lain dengan tren negatif sehingga realitas sosial ini dibangun akan mendapatkan banyak perhatian dari masyarakat. Kata Kunci: Metro TV, Analisis Framing, Calon Presiden, Pemilu
ANALYSIS OF LIBRARY VISITOR GROUPING THROUGH MASK USAGE IDENTIFICATION IN XIN ZHONG LIBRARY WITH ORANGE DATA MINING APPLICATION Putra, Dwi Permana; Yuadi, Imam
Publication Library and Information Science Vol 9, No 1 (2025)
Publisher : UPT. Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v9i1.11508

Abstract

AbstractThe application of data mining in libraries plays a crucial role in supporting data management and monitoring health protocols, especially during the pandemic. A key challenge faced by librarians is effectively monitoring visitors' mask usage compliance. This study aims to analyze visitors' facial images at the library using the Orange Data Mining application, enabling librarians to identify whether visitors are wearing masks. The approach involves collecting random facial images of visitors, preprocessing the data for standardization of size and resolution, extracting features using the Inception V3 model, and conducting hierarchical clustering analysis with the Manhattan metric. The clustering results are visualized in a dendrogram, helping to group the data. The findings show that the dendrogram clearly differentiates between visitors with masks and those without. This visualization provides librarians with an effective tool for monitoring areas of the library that require more strict health protocol supervision. The study concludes that the Orange Data Mining application offers a practical solution for libraries to monitor compliance with health protocols. By utilizing data mining techniques, libraries can enhance visitor safety and comfort. Further research is suggested to expand the dataset and explore other methods to improve analysis accuracy.
Performance Comparison of HFC and FTTH Using Optisystem Software Putra, Dwi Permana; Siregar, Marsul; Pandjaitan, Lanny; Bachri, Karel O; Sereati, Catherine O
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1271

Abstract

This research present the Analysis of the application of Optisystem software technology for FTTH and HFC shows that both have the capability for the WDM systems, to support a maximum transmission distance of 20 kilometers and can serve up to 32 subscribers. Key factors such as signal strength, Q factor, and bit error rate (BER) were observed and analyzed discreetly. It was found that FTTH has an average Q factor of 13.49 and HFC has an average Q factor of 7.475. The difference is about 44.59%, which indicates that FTTH has an advantage in terms of signal quality. However, based on the simulation results as well as the field measurements, Since the BER value does not exceed the maximum limit of 10-9 and the Q-factor value exceeds the minimum limit of 6, it can be stated that both technologies are reliable for efficient and high-quality communication services.
EVALUASI LOGISTICS CUSTOMER SERVICE ELEMENTS PADA PENERIMA BAHAN BAKU “PT INTI DRAGON SURYATAMA KOTA MOJOKERTO” Putra, Dwi Permana
Jurnal Ilmiah Mahasiswa FEB Vol. 3 No. 2
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

Tujuan dari penelitian ini adalah untuk mengetahui proses logistics customer service elements yang terdiri dari pretransaction element, transaction element dan posttransaction element, serta mengetahui element yang paling dominan dari logistic customer service elements tersebut diterapkan dengan baik pada perusahaan PT Inti Dragon Suryatama. Penelitian ini adalah penelitian kualitatif dengan pendekatan deskriptif yang dilakukan dengan mengumpulkan data-data tentang kualitas pelayanan pada pemasok bahan baku terhadap perusahaan. Untuk mendapatkan informasi-informasi terkait mengenai layanan pemasok terhadap perusahaan digunakan wawancara mendalam untuk memperoleh informasi mengenai pelayanan pemasok. Jumlah informan dalam penelitian ini berjumlah 6 orang, terdiri dari Manager Purchasing, Manager Personalia, Manager PPIC, Supervisor PPIC dan 2 staf divisi PPIC. Data yang terkumpul akan direduksi dan kemudian diolah menggunakan penyesuaian pada setiap logistic customer service yang terdiri dari 3 element. Pembahasan logistics customer service elements ini meliputi pelayanan pelanggan yang muncul sebelum transaksi (pretransaction element), layanan pelanggan yang menyangkut pelaksanaan dalam pemenuhan kebutuhan konsumen (transaction element), dan pelayanan pelanggan setelah pengiriman dilakukan (posttransaction element). Melalui logistics customer service elements, diketahui bahwa perusahaan dalam pemilihan para pemasoknya hanya memperhatikan satu dari ketiga element dalam logistic customer service. Sedangkan permasalahan utama yang dihadapi perusahaan adalah terjadi keterlambatan pengiriman bahan baku (lead time).Kata Kunci : Logistic Customer Service Elements, komponen-komponen logistik
ANALYSIS OF LIBRARY VISITOR GROUPING THROUGH MASK USAGE IDENTIFICATION IN XIN ZHONG LIBRARY WITH ORANGE DATA MINING APPLICATION Putra, Dwi Permana; Yuadi, Imam
Publication Library and Information Science Vol 9 No 1 (2025)
Publisher : Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v9i1.11508

Abstract

AbstractThe application of data mining in libraries plays a crucial role in supporting data management and monitoring health protocols, especially during the pandemic. A key challenge faced by librarians is effectively monitoring visitors' mask usage compliance. This study aims to analyze visitors' facial images at the library using the Orange Data Mining application, enabling librarians to identify whether visitors are wearing masks. The approach involves collecting random facial images of visitors, preprocessing the data for standardization of size and resolution, extracting features using the Inception V3 model, and conducting hierarchical clustering analysis with the Manhattan metric. The clustering results are visualized in a dendrogram, helping to group the data. The findings show that the dendrogram clearly differentiates between visitors with masks and those without. This visualization provides librarians with an effective tool for monitoring areas of the library that require more strict health protocol supervision. The study concludes that the Orange Data Mining application offers a practical solution for libraries to monitor compliance with health protocols. By utilizing data mining techniques, libraries can enhance visitor safety and comfort. Further research is suggested to expand the dataset and explore other methods to improve analysis accuracy.
Co-Authors Bachri, Karel O Husain, Muh. Najib Imam Yuadi PANDJAITAN, LANNY Sereati, Catherine O Siregar, Marsul