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The Sustainability of The Netflix's Business Processes With Knowledge Risk Management Approach Gustian Rama Putra; Wahyu Sardjono; Taruma Leo Wijaya; Erna Selviyanti; Asep Saepulrohman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v1i1.5935

The Squid Game film is a film that is very familiar among the public because the story, storyline, and also the quality provided gives a very good impression that can be accessed by the public through an application called Netflix. Not surprisingly, many people remember their childhood in these stories. However, on the side of its very global fame, there are several issues that must be faced by Netflix in showing the Squid Game film that can threaten the sustainability of Netflix's business process itself. Through this research, we will analyze the factors that cause Netflix to face the worst scenario in showing the Squid Game film through Factor and Regression analysis on a predetermined model. The results stated that there were 9 factors that caused Netflix to have to deal with this problem.

The Sustainability of The Netflix's Business Processes With Knowledge Risk Management Approach Gustian Rama Putra; Wahyu Sardjono; Taruma Leo Wijaya; Erna Selviyanti; Asep Saepulrohman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v1i1.5935

The Squid Game film is a film that is very familiar among the public because the story, storyline, and also the quality provided gives a very good impression that can be accessed by the public through an application called Netflix. Not surprisingly, many people remember their childhood in these stories. However, on the side of its very global fame, there are several issues that must be faced by Netflix in showing the Squid Game film that can threaten the sustainability of Netflix's business process itself. Through this research, we will analyze the factors that cause Netflix to face the worst scenario in showing the Squid Game film through Factor and Regression analysis on a predetermined model. The results stated that there were 9 factors that caused Netflix to have to deal with this problem.

Peningkatan Kompetensi Siswa Bintara Polri dalam Penggunaan Perangkat Lunak Perkantoran dan Multimedia Harfebi Fryonanda; Edwar Rosman; Yori Adi Atma; Taruma Leo Wijaya; Yulia Jihan Sy
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 5 No 1 (2023)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jppm.v5i1.970

Kegiatan pengabdian kepada masyarakat dilakasanakan dalam bentuk pelatihan kepada siswa bintara polri yang sedang bertugas di Polsek Pauh pelatihan diikuti oleh 23 peserta. Pelatihan dilaksanakan selama satu hari yang dibagi dalam 4 sesi pelatihan. Sesi pertama dilaksanakan pelatihan microsoft word, kemudian pelatihan microsoft excel, microsoft power point dan terakhir pelatihan editing video. Setelah pelatihan dilaksanakan kemudian dilaksanakan evaluasi kepuasan peserta terhadap materi, instruktur dan fasilitas. Hasil evaluasi yang didapat untuk kepuasan peserta terhadap materi dan instruktur berada pada skala 4.6 dari 5. Sedangkan untuk fasilitas berada pada skala 5 dari 5

Implementasi Sistem Pakar Untuk Diagnosis Penyakit Tomat: Pendekatan Backward Chaining Berbasis Web Wijaya, Taruma Leo; Fryonanda, Harfebi; Mardiah, Ainil; Defni, Defni; Ibrahim, Roy
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5371

This study aims to implement an expert system using a web-based backward chaining method approach to help farmers diagnose and manage tomato plant diseases. This study was conducted because diagnosing plant diseases requires the help of agricultural experts, which causes problems with consultation costs and farmers who have difficulty knowing the type of disease in tomato plants will cause losses for farmers due to crop failure. The methodology used in this study is the prototype method which begins with identifying problems through data collection from literature, interviews with agricultural experts, and field observations. The collected data is then analyzed using the backward chaining method to trace symptoms to the cause of the problem and provide recommendations for handling. This system is implemented in the form of a web application that facilitates access for farmers. The results of the study show that this expert system is able to provide accurate and reliable diagnoses and recommendations with an accuracy level of this study of 85%. Thus, this expert system is expected to improve farmers' knowledge and skills in managing tomato plants, as well as contribute to increasing yields and the quality of agricultural products

Pemanfaatan Website untuk Promosi Pariwisata di Kawasan Agrowisata Puncak Labuang Kurnia, Rahmi Putri; Defni; Hadi, Ronal; Wijaya, Taruma Leo; Fryonanda, Harfebi; Hafizun, Altaf
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i3.404

The development of technology-based tourism is a strategic step to increase the competitiveness of local destinations, such as Puncak Labuang in Nagari Limau Manis. This community service activity aims to increase the visibility and accessibility of Puncak Labuang tourism information by developing the visit.limaumanis.id website. The methods used include identifying needs, designing, developing systems, testing functionality, and training representatives of the Limau Manis Community Empowerment Forum (FPM). The activity results show that users consider this website easy to use and valuable. The training provided improves the ability of FPM representatives to manage and update content independently. A post-training survey revealed that 90% of participants felt more confident operating the website, and 88% considered the interface easy to understand. This implementation is expected to support the promotion of local tourism effectively and sustainably, which positively impacts the economy and welfare of the local community. This program shows the importance of synergy between technology and society for developing local potential.

Optimalkan Promosi Wisata Kabupaten Sijunjung Melalui Pelatihan Pembuatan Website Statis dengan Google Sites untuk Pengelola Objek Wisata Sijunjung Atma, Yori Adi; Kasmar, Andre Febrian; Wijaya, Taruma Leo; Marni, Enzi; Yofelino, Marcella Putri
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 6 No. 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i1.2072

Sijunjung Regency holds significant tourism potential; however, it has yet to be supported by optimal digital promotion. This community engagement project aims to enhance regional tourism promotion through training on static website development using Google Sites for local tourism managers. The training methods include counseling, hands-on tutorials, and guidance in creating and managing informative, accessible websites. The outcome of this project is a static website that integrates information on tourist attractions, facilities, and the unique appeal of Sijunjung Regency, particularly the Geopark Silokek site, accessible at https://www.geoparksilokek.id. This training successfully improved participants' abilities to independently promote local tourism destinations, positively impacting the engagement of managers in digital promotion and providing broader access to tourism information for the public.

Analysis on The Effect of Channel Bandwidth Occupying in LTE Frequency Band on Throughput Yusnita, Sri; -, Yustini; Markis, Lince; Tristianti, Widia; Wijaya, Taruma Leo
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

The maximum channel capacity of a 4G LTE network will be directly correlated to the channel bandwidth that occupies a certain radio frequency on that network. The number of Resource Blocks (RB), subcarriers, and Resource Elements (RE) as channel resources available to serve users concurrently will depend on the bandwidth channel sizes. Mobile service providers in Indonesia provide scalable channel bandwidth LTE 4G networks on a variety of frequency bands, including adjacent and non-adjacent bands. In this study, it was examined how to channel bandwidth, which changes at 10MHz, 15MHz, and 20MHz, affects throughput to give user equipment the best possible performance (UE). This study makes use of actual measurement data from installed and active eNodeB or cells obtained via the drive test approach. According to the test, each channel's maximum throughput varies, however, there is no linear relationship found between channel bandwidth expansion and throughput. The 20MHz channel bandwidth, which is located in the 2300MHz frequency band, has a maximum throughput value of 64666.80 kbps.

Analisis Pola Pembayaran UKT Mahasiswa dengan Clustering Menggunakan K-Means dan DBSCAN Atma, Yori Adi; Fryonanda, Harfeby; Wijaya, Taruma Leo
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6398

Penelitian ini bertujuan untuk menganalisis data sosial ekonomi mahasiswa baru sebagai dasar dalam penetapan level Uang Kuliah Tunggal (UKT) secara objektif dan berbasis data. Metode yang digunakan adalah teknik unsupervised learning berupa clustering dengan algoritma K-Means dan DBSCAN. Data yang dianalisis berasal dari isian formulir UKT mahasiswa baru Politeknik Negeri Padang tahun ajaran 2024/2025, yang mencakup informasi penghasilan orang tua, jumlah tanggungan, kepemilikan rumah, dan status bantuan sosial. Hasil analisis menunjukkan bahwa K-Means berhasil mengelompokkan mahasiswa ke dalam tiga klaster dengan rata-rata penghasilan dan UKT yang selaras. Klaster dengan penghasilan tertinggi cenderung berada pada level UKT 7 dan 8, sedangkan klaster dengan penghasilan lebih rendah terkonsentrasi pada level UKT menengah. Sementara itu, metode DBSCAN hanya menghasilkan satu klaster valid dengan banyak data teridentifikasi sebagai noise, menunjukkan keterbatasannya dalam menangani dataset kecil dan homogen. Kesimpulan dari penelitian ini adalah bahwa metode K-Means lebih sesuai digunakan sebagai alat bantu dalam mengevaluasi dan meninjau ulang kebijakan UKT secara objektif berdasarkan data sosial ekonomi mahasiswa.

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