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All Journal Jurnal Rekayasa Sistem Industri Gema Pendidikan International Journal of Artificial Intelligence Research SMARTICS Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Teknologi Informasi dan Multimedia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Infotek : Jurnal Informatika dan Teknologi Jurnal Cahaya Mandalika Jurnal Tika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Jurnal Mandiri IT Journal of Informatics and Communication Technology (JICT) Malcom: Indonesian Journal of Machine Learning and Computer Science Golden Ratio of Data in Summary Innovative: Journal Of Social Science Research Jurnal Accounting Information System (AIMS) Journal of Informatics and Communication Technology (JICT)
Nurapriani, Fitria
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Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Pemilihan Platform Film Streaming Menggunakan Metode SMARTER dan MOORA: Selection of Streaming Film Platforms Using the SMARTER Method and the MOORA Saputri, Arini; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Huda, Baenil
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1325

Abstract

Sektor industri perfilman telah menjadi aspek tontonan wajib dalam masyarakat, saat ini film menjadi suatu hiburan yang populer di Indonesia. Kemajuan teknologi dan digitalisasi memfasilitasi akses mudah menonton film, masa transisi dari penggunaan DVD/VCD ke Blu-Ray sebagai media untuk menikmati film yang mendapatkan daya tarik pada masanya. Perkembangan internet dan platform online yang semakin pesat telah mengubah industri dunia perfilman, banyak sekali bermunculan berbagai layanan streaming yang menawarkan kemudahan untuk menonton film kapan saja dan dimana saja. Maraknya kemudahan menonton film streaming dengan tersedianya berbagai platform film masih banyak terdapat perbedaan beberapa aspek baik tampilan maupun layanan yang ditawarkan, sehingga penelitian ini memberikan wawasan dan rekomendasi mengenai opsi streaming yang baik. Dalam penelitian ini menggunakan metode MOORA dan SMARTER Kedua metodologi menghasilkan hasil yang sebanding pada nilai tertinggi yaitu Netflik sebagai platform film streaming paling aman dengan skor 0,421 pada metode SMARTER dan 0,582 pada metode MOORA , dan mengalami selisih perbedaan yang tidak terlalu signifikah terkait peroleh nilai tertinggi kedua, Dimana pada metode SMARTER di peroleh oleh Disney Hotstar dengan nilai 0,377sedangkan pada metode MOORA nilai tertinggi kedua di peroleh oleh Iflix dengan nilai0,297sehingga kedua metode ini sangat ideal untuk digunakan.
Implementasi Algoritma K-Nearest Neighbor untuk Prediksi Penjualan Alat Kesehatan pada Media Alkes: Implementation of the K-Nearest Neighbor Algorithm to Predict Sales of Medical Devices in Medical Devices Nijunnihayah, Uktupi; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Novalia, Elfina
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1326

Abstract

Media Alkes Perusahaan ini bergerak dalam bidang industri Alat Kesehatan. Perusahaan ini menyediakan berbagai produk seperti jarum kursi roda, alat infus, alat monitor tekanan darah, dan lain-lain. Media Alkes juga aktif menerapkan strategi bisnis untuk memenuhi kebutuhan pelanggan. Namun sering terjadi kekurangan stok dan barang menumpuk di dalam perusahaan ini. Peneliti telah mengelola dan menganalisis data penjualan yang ada untuk memahami kebutuhan pelanggan terhadap Alat Kesehatan. Dalam menghadapi tantangan tersebut, peneliti mengusulkan algoritma K-Nearest Neighbor untuk memprediksi penjualan Alat Kesehatan di Media Alat Kesehatan. Informasi mengenai jumlah penjualan Alat Kesehatan dengan kriteria Sangat laris, Cukup laris dan Kurang laris dapat dilihat melalui data penjualan tahun 2020 hingga tahun 2022 pada Media Laporan Penjualan Alat Kesehatan. Penelitian dilakukan dengan menerapkan metode K-Nearest Neighbor (KNN) baik dengan perhitungan secara manual maupun menggunakan sistem RapidMiner. Hasil dari prediksi yang menggunakan sistem RapidMiner menunjukkan tingkat akurasi sebesar 95,00% dari data yang disebut penjualan. Dengan hasil prediksi yang didapat yang Sangat bagus tersebut, metode ini dapat dijadikan sebagai acuan dalam merencanakan penjualan di masa depan. Dengan menerapkan prediksi ini, perusahaan dapat mengelola stok barang dengan secara efisien dan menghindari kehabisan stok serta memuat barang yang tidak diinginkan.
Peningkatan Minat Digital Skill Menggunakan Algoritma K-Medoids Clustering Pada Karyawan Zulfiana, Rizka; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Huda, Baenil
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.4994

Abstract

General Company for Printing Money of the Republic of Indonesia is one of the state-owned enterprises that prints banknotes and other official documents. Perum Peruri also wishes to gain more insight into the technology implemented in the company. The demand for a workforce skilled in the use of technology in the work environment continues to increase over time. Perum Peruri has 16 Digital Skill categories, each of these categories has a high, medium to the lowest interest. In this problem, the data taken has not been grouped, so there is a lack of information about the number of categories that have the highest to lowest interest. By analyzing the specialization data, it will help determine which categories need improvement. The categories in Digital Skills specialization can then be improved by using this information as a reference for designing improvement strategies. Research was conducted using clustering to determine the number of categories that Perum Peruri personnel are interested in. In this study, sales data in Excel format was analyzed, and clusters based on product sales data were created using the K-Medoids approach. Sales information obtained from secondary data that manages employee specialization. Using RapidMiner, the accuracy for the three clusters designated as highest, middle, and lowest based on the clustering results was ascertained. The first cluster of 16 items analyzed consisted of 7 items with the highest ranking, the second cluster had 5 items categorized as medium, and the third cluster had 4 items classified as the lowest. Based on the results, 4 items were categorized as low, indicating the need for a socialization approach to increase interest in the Digital Skill.
Mengintegrasikan Prinsip Pembangunan Berkelanjutan dalam Pembelajaran Matematika untuk Merangsang Keterampilan Berkelanjutan pada Generasi Mendatang Kusumaningrum, Dwi Sulistya; Lestari, Santi Arum Puspita; Nurapriani, Fitria; Dwi Sulistya
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7167.1-10

Abstract

This research constitutes a literature review employing a qualitative approach, analyzing scholarly articles, books, and other documents related to sustainable development. This article aims to summarize and analyze previous studies concerning sustainable development in the context of mathematics education, as well as strategies that can be employed to integrate the principles of sustainable education. Integrating the principles of sustainable development into education, including mathematics education, is crucial in fostering a more environmentally responsible society and promoting sustainability across all sectors. However, its implementation remains limited. Educators face various challenges, including a lack of time, resources, and understanding of sustainable education, along with a dearth of supportive teaching materials. The principles of sustainable development can serve as a framework for developing curricula and teaching practices that are more sustainable. Educators can select mathematical problems related to environmental or social issues, discuss relevant mathematical concepts in connection with these problems, and help students comprehend the impact of mathematical decisions on the environment and society. Integrating the principles of sustainable development into mathematics education not only aids in producing a generation with sustainable skills but also motivates students to learn mathematics in more engaging and meaningful ways. A learning approach centered around sustainable development can be an effective way to prepare students for a sustainable future. The article also underscores the necessity for curriculum development, training, and professional advancement for educators.
Implementation of Spatial Analysis Using KNN-5 in GIS for Mapping Mushroom Houses in Karawang Regency Guntur, Muhamad; Hananto, April Lia; Nurapriani, Fitria; Hilabi, Shofa Shofiah
Jurnal Accounting Information System (AIMS) Vol. 9 No. 1 (2026)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v9i1.1910

Abstract

This research aims to develop a Geographic Information System (GIS) to map the locations of straw mushroom farms in Karawang Regency by applying spatial analysis based on the K-Nearest Neighbors algorithm with k = 5. This approach examines the spatial proximity relationship between mushroom production sites and the nearest markets to inform location-based distribution decisions. The research method employs a quantitative approach through mapping, geographic coding, and analysis of geographic distances, which are integrated into the GIS. Spatial data are obtained from field observations and collected from mushroom farmers, then analyzed using distance calculations based on geographic coordinates. The results show that the K-Nearest Neighbors analysis with k = 5 can dynamically identify the nearest markets and more objectively represent the spatial relationship between production and markets than a static radius approach. Additionally, proximity analysis between farms reveals local-scale spatial clustering patterns, while radius analysis provides an initial overview of limited spatial accessibility. Integrating the analysis results into the Geographic Information System enables comprehensive spatial visualization and supports more efficient, data-driven decision-making for straw mushroom distribution.
Klasterisasi Siswa Berdasarkan Profil Akademik dan Karakteristik Belajar Menggunakan Algoritma K-Means untuk Mendukung Pembelajaran Faiharani, Attaya; Huda, Baenil; Nurapriani, Fitria; Hananto, April Lia
Journal of Information System Research (JOSH) Vol 7 No 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i3.9572

Abstract

Grouping students based on academic and non-academic characteristics is important to support the development of more targeted educational guidance strategies in schools. The main problem addressed in this study is the absence of objective data-based student mapping, which causes development programs to remain general and less targeted. This study aims to classify students using the K-Means clustering algorithm based on academic profiles and other supporting variables, and to evaluate cluster quality using the silhouette coefficient method. The research stages include data preprocessing, determining the optimal number of clusters, clustering using K-Means, and evaluating the clustering result. The results showed that four clusters were selected as the final configuration with a silhouette score of 0,1093, with cluster membership distributed into 12, 4, 2, and 2 students. Visualization using principal component analysis shows that most clusters are sufficiently well separeted. This study contributes a data-driven student grouping model that can be used as a basis for recommending student potential development according to the characteristics of each group.
Penerapan E-CRM Berbasis Web Menggunakan Metode RAD pada Showroom Wali Sanga Motor Arifin, Jihan Salsabila; Priyatna, Bayu; Nurapriani, Fitria; Hananto, April Lia
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.986

Abstract

Customer service at Wali Sanga Motor Showroom is still conducted manually, causing delays in information delivery, unstructured customer data management, and less optimal handling of or-ders and customer complaints. This study aims to develop a web-based Electronic Customer Rela-tionship Management (E-CRM) system using the Rapid Application Development (RAD) method to improve service effectiveness and customer relationship management. The RAD method was applied through stages of requirements planning, prototyping design, system construction, and implementation. The system was developed using the Laravel framework and MySQL database with main features including product information management, online motorcycle ordering, cus-tomer complaint services, and administrative data management. System testing was carried out using User Acceptance Test (UAT) and White Box Testing on all functional requirements that had been designed. The test results show that the system runs 100% in accordance with the UAT sce-narios and all main modules function according to user needs without any significant logical er-rors. The implementation of this E-CRM system is expected to improve service efficiency, acceler-ate responses to customers, and support integrated and sustainable management of customer ser-vice data at Wali Sanga Motor Showroom.
Inventory control system using threshold method for automotive industry Fadillah, Arya; Priyatna, Bayu; Nurapriani, Fitria; Tukino, Tukino
Jurnal Mandiri IT Vol. 14 No. 4 (2026): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i4.528

Abstract

Inventory control is a critical aspect in manufacturing companies to ensure the availability of materials and support smooth production processes. Ineffective inventory management can lead to stock shortages or overstock conditions, which may disrupt operational activities. This study aims to develop a web-based inventory control system using the Reorder Point (ROP) method to optimize stock management in a manufacturing environment. The system is designed to monitor stock levels, calculate Average Daily Usage (ADU), safety stock, and reorder points automatically. When stock reaches a predefined threshold, the system provides notifications to assist decision-making in replenishment processes. The development method used in this study is the Waterfall model, including analysis, design, implementation, and testing stages. The system is implemented using the CodeIgniter framework and MySQL database. Testing results show that the system can accurately calculate ROP values and effectively provide early warnings for low stock conditions. Therefore, the proposed system can improve efficiency, reduce the risk of stock shortages, and support better inventory management in manufacturing companies. The system achieved an accuracy rate of 100% in calculating ROP values based on Black Box testing results, and successfully generated real-time notifications for all critical stock conditions. The novelty of this study lies in the integration of threshold-based logic with automated notification features in a web-based system, which provides a more responsive and practical solution compared to previous inventory control approaches that rely on manual monitoring.
Co-Authors -, Tukino AA Sudharmawan, AA Agustian, Adittia Ahnaf, Naufal Zubdi Alparizi, Muhamad Iqbal Annam, Dyno Syaiful April Lia Hananto Arifin, Jihan Salsabila Arkan Hilman Hakim Dwi Sulistya Fadillah, Arya Faiharani, Attaya FIKRI HAIKAL Guntur, Muhamad Hananto, Agustia Hilabi, Shofa Shofiah Huda, Baenil Ikhsan, Muhammad Daffa kastiawan, Nurhayadi Kurniawan, Muhamad Dicky Kusumaningrum, Dwi Sulistya Lestari, Renita Lestari, Santi Arum Puspita Nijunnihayah, Uktupi Novalia, Elfina Nur ‘Azah Nurfauzi, Oka Muhamad Priatna, Bayu Priyatna, Bayu Ramadan, Mohamad Rizqulloh Saputri, Arini Sriardi, Mohammad Didit Tukino, Tukino tukino, tukino Yulistina Nur DS Zulfiana, Rizka