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All Journal SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi OKTAL : Jurnal Ilmu Komputer dan Sains International Journal of Educational and Life Sciences (IJELS) International Journal of Integrated Science and Technology Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Pendidikan dan Inovasi Pembelajaran Jurnal Komputer dan Teknik Informatika
Emi Sita Eriana
Unknown Affiliation
Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Perancangan Aplikasi Jadwal Liputan Berbasis Web Di Bidang Berita TVRI Dengan Metode Prototype Andika Panji Hermawan; Leni Susanti; Emi Sita Eriana; Ghema Nusa Persada
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 1 (2024): Februari : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i1.57

Abstract

The absence of an application to assist in the scheduling of the Communication and Informatics department's duties at TVRI has resulted in ineffective schedule distribution, causing a TVRI staff member to receive two coverage schedules simultaneously, while others may not receive any schedule at all. The purpose of this final report is to create an Application for Coverage, Announcers, and Editorial Schedules at TVRI using the PHP programming language with the Laravel framework and MYSQL database, and designing its interface using Bootstrap. The issue faced by TVRI's Communication and Informatics Department (Diskominfo) is the operational data processing of broadcasting schedules using Microsoft Excel, which poses several challenges including insufficient data security, unorganized data storage making it difficult to search, and the risk of losing previously saved data, thereby slowing down TVRI's reporting process. This application comprises three User levels: admin, User, and TVRI head. The research adopts the Prototype development method to create the Coverage, Announcers, and Editorial Schedule Application at TVRI. Through the Prototype, the development team can quickly visualize the application's design and functionality, gather early User feedback, and address potential issues or design improvements before full implementation. The research outcome, in the form of the application, provides a concrete solution to the challenges of scheduling effectiveness at TVRI, enhancing efficiency, addressing data security concerns, ensuring organized data storage, and improving workflow speed.
Computer Network Design and Network Security System Development Computers in the Age of Big Data Dwi Fahrulrezza; Muhamad Jaky Jamal; Nova Rahmad Prasetya; Emi Sita Eriana; Fajar Haditio
International Journal of Educational and Life Sciences Vol. 2 No. 11 (2024): November 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i11.2708

Abstract

The proliferation of big data has raised new challenges in terms of network security. This research proposes a network architecture inspired by the concept of software-defined networking (SDN) to provide high flexibility and scalability in the face of exponential data growth. In addition, an artificial intelligence-based security system is developed to detect increasingly sophisticated threats. The test results show that the designed network architecture is able to improve system performance and reliability, while the security system succeeds in reducing the false detection rate and increasing the intrusion detection rate. This research is expected to serve as a foundation for the development of a more secure and efficient network infrastructure in the big data era.
Implementation of Big Data in Learning in the Era of Industrial Revolution 4.0 Muhammad Wahid Muhtadi; Ronggur Hasibuan; Yohanes William Kaunang; Emi Sita Eriana; Fajar Haditio
International Journal of Educational and Life Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i12.2787

Abstract

The Industrial Revolution 4.0 has brought significant transformation in various sectors, including education. The use of Big Data in learning has become one of the main focuses in an effort to improve the quality of education, especially in vocational schools. Through a systematic review of relevant scientific literature, this study reveals the great potential of Big Data in learning personalization, student performance analysis, curriculum development, and improving the efficiency of managing educational institutions. However, it also identifies a number of challenges that need to be addressed, such as the lack of technological infrastructure, the lack of competence of educators, and the lack of supportive policies.The results of this study are expected to contribute to the development of more comprehensive education policies in the utilization of Big Data. In addition, this research is also expected to serve as a reference for education practitioners, technology developers and policy makers in an effort to improve the quality of education in the digital era.
Sistem Informasi Pendataan Barang Masuk dan Keluar Valendito Mangasih Hutauruk; Aufa Akmal; Fahmi Rama Anggara; Emi Sita Eriana
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 01 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Recording incoming and outgoing goods plays a crucial role in inventory management, but manual systems often lead to recording errors, messy data, and delays in preparing stock reports. Therefore, an information system is needed to improve the effectiveness and efficiency of inventory data management. This study aims to design an information system for recording incoming and outgoing goods to facilitate the recording, management, and presentation of inventory information, using descriptive methods through observation, interviews, and literature review.
Perancangan Sistem Informasi Rekrutmen Karyawan Berbasis Web dengan Metode Simple Additive Weighting Ichfal Arfiansyah; Emi Sita Eriana
Jurnal Komputer dan Teknik Informatika Vol. 1 No. 2 (2026): Edisi: Februari-April
Publisher : Pustaka Bangsa Indonesia

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Abstract

Proses rekrutmen karyawan merupakan tahap penting dalam pengelolaan sumber daya manusia karena berpengaruh terhadap kualitas dan kinerja perusahaan. PT. Pratama Spot Cleaning masih menerapkan proses rekrutmen secara manual sehingga menimbulkan permasalahan seperti keterlambatan seleksi, pengelolaan data pelamar yang kurang terstruktur, serta penilaian yang bersifat subjektif. Penelitian ini bertujuan merancang dan membangun sistem pendukung keputusan rekrutmen karyawan berbasis web menggunakan metode Simple Additive Weighting (SAW) untuk membantu proses seleksi secara lebih objektif dan efisien. Metode penelitian yang digunakan meliputi observasi, wawancara, dan studi pustaka. Sistem dikembangkan menggunakan PHP dan MySQL, sedangkan metode SAW digunakan untuk menghitung nilai preferensi dan melakukan perankingan calon karyawan berdasarkan kriteria yang telah ditentukan. Hasil penelitian menunjukkan bahwa sistem mampu mengelola data pelamar dan menghasilkan perankingan secara objektif. Pengujian Black Box menunjukkan seluruh fungsi sistem berjalan sesuai kebutuhan sehingga proses rekrutmen menjadi lebih efektif, efisien, dan transparan.
Analisis Anak Putus Sekolah di Indonesia Berdasarkan Provinsi dan Jenjang Pendidikan Fredy Nandito Palullungan; Cikal Tegar; Muhammad Ihsan Ashari; Emi Sita Eriana
Jurnal Pendidikan dan Inovasi Pembelajaran Vol. 1 No. 2 (2026): Edisi Januari-Maret
Publisher : Pustaka Bangsa Indonesia

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Abstract

Penelitian ini bertujuan untuk menganalisis fenomena anak putus sekolah di Indonesia berdasarkan data provinsi, jenjang pendidikan, dan faktor utama penyebabnya. Data yang digunakan merupakan data sekunder dalam bentuk dataset anak putus sekolah tahun 2023 yang diolah menggunakan pendekatan deskriptif kuantitatif. Hasil analisis menunjukkan bahwa tingkat anak putus sekolah bervariasi antar provinsi dan cenderung meningkat pada jenjang pendidikan yang lebih tinggi. Faktor ekonomi dan akses pendidikan menjadi penyebab dominan. Temuan ini diharapkan dapat menjadi dasar perumusan kebijakan pendidikan yang lebih tepat sasaran. Pembangunan di bidang pendidikan merupakan suatu hal yang sangat penting dalam meningkatkan kualitas Sumber Daya Manusia. Oleh karena itu, pemerintah menetapkan program wajib belajar 12 tahun agar tercipta SDM yang berkualitas. Namun, partisipasi sekolah pada tingkat sekolah menengah perlu ditingkatkan agar angka putus sekolah dapat ditekan Selain itu, dapat juga untuk mengetahui probabilitas anak putus sekolah dengan karakteristik tertentu.
Co-Authors Afrizal Zein Ameliawati Andika Panji Hermawan Aufa Akmal Ayu Adellia Zalianty Chaerul Hidayat Cikal Tegar Dani Dani Dwi Fahrulrezza Fahmi Rama Anggara Fajar Haditio Fredy Nandito Palullungan Galuh Saputri Ghema Nusa Persada Hardiansyah Hardiansyah Hary saputra Ichfal Arfiansyah Khalisnah Nur Sabila Leni Susanti Muhamad Jaky Jamal Muhammad Ihsan Ashari Muhammad Wahid Muhtadi Muhammad Wahyudi Nadira Putri Hermawan Nova Rahmad Prasetya Novi Miswanti Ranggi Fatmawan Reza Randika Ronggur Hasibuan Santi Santosa Wijayanto Selipana Valendito Mangasih Hutauruk Yohanes William Kaunang Yuka Pratama Mutiara Alizen