Article Per Year (5 Year)
p-Index From 2020 - 2025
3.092
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi Jupiter Jurnal Buana Informatika Jurnal Informatika dan Teknik Elektro Terapan Register: Jurnal Ilmiah Teknologi Sistem Informasi SemanTIK : Teknik Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Informatika dan Rekayasa Perangkat Lunak Community Development Journal: Jurnal Pengabdian Masyarakat Community Empowerment Jurnal Sains Teknologi dan Sistem Informasi Jurnal Media Informasi Teknologi Journal of Information Systems and Technology (JISTech) Mekongga: Jurnal Pengabdian Masyarakat Media of Computer Science JROCK (Journal Research on Computing Knowledge)
Yuwanda Purnamasari Pasrun
Universitas Sembilanbelas November Kolaka
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 28 Documents
Search

 1   2   3 
Implementasi Metode Time Series Simple Moving Average untuk Prediksi Penjualan Multi-Produk Novarida, Eka; Pasrun, Yuwanda Purnamasari; Sutoyo, Muh. Nurtanzis
JISTech : Journal of Information Systems and Technology Vol. 1 No. 1 (2024): Juni 2024
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengimplementasikan metode Simple Moving Average (SMA) dalam memprediksi penjualan multi-produk dan mengevaluasi keefektifannya dalam konteks bisnis yang kompleks. Data penjualan bulanan dari tiga produk yang berbeda dianalisis selama 15 bulan untuk mengidentifikasi tren penjualan dan membuat prediksi yang akurat. Metode SMA dipilih karena kemampuannya untuk menghaluskan fluktuasi data dan memberikan gambaran yang lebih jelas tentang tren penjualan jangka pendek hingga menengah. Hasil penelitian menunjukkan bahwa SMA mampu memberikan prediksi yang mendekati nilai penjualan aktual, terutama untuk produk dengan tren penjualan yang stabil atau meningkat. Evaluasi model menggunakan Mean Absolute Error (MAE) mengungkapkan bahwa prediksi SMA memiliki tingkat kesalahan rata-rata yang rendah, dengan nilai MAE sebesar 10.0 untuk Produk A dan C, serta 6.7 untuk Produk B. Temuan ini menunjukkan bahwa SMA adalah metode yang efektif dan sederhana untuk digunakan dalam perencanaan stok dan strategi penjualan, terutama dalam kondisi pasar yang stabil. Namun, SMA juga memiliki keterbatasan dalam merespons perubahan mendadak dalam tren penjualan dan memberikan bobot yang sama untuk semua data historis, yang mungkin tidak selalu ideal. Oleh karena itu, untuk hasil yang lebih dinamis dan akurat, disarankan untuk mengombinasikan SMA dengan metode prediksi lainnya, terutama dalam situasi pasar yang lebih fluktuatif. Penelitian ini diharapkan dapat memberikan kontribusi signifikan bagi perusahaan dalam mengoptimalkan manajemen persediaan dan perencanaan penjualan.
Integrasi Layanan Peminjaman Sarana Prasarana dalam Manajemen Aset Menggunakan Framework Codeigniter dan Boostrap Sarimuddin, Sarimuddin; Nasarudin, Nasarudin; Pasrun, Yuwanda Purnamasari; Ningsi, Nurfitria; Sudarman, La
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.35062

Abstract

Campus assets are a means of supporting performance to support attracting interest and supporting student teaching and learning activities. The assets of an organization must be well managed so that they can operate effectively and efficiently so that they can deliver high benefits. So far, the asset management system at USN Kolaka Campus B still uses Microsoft Excel to manage assets for asset data collection and special notebooks for borrowing assets, which creates difficulties when controlling assets that are easily moved (means) such as infocus, printers, chairs and others. The use of this facility requires asset tracking and good supervision if a facility is in poor condition or even damaged, so a system is needed that can carry out asset management as well as provide asset lending services. This system uses the CodeIgniter and Boostrap framework so that the use of program code is simple, safe and responsive to various screen sizes. The performance of this system controls assets when the asset location is moved, whether through borrowing, permanent transfer, or a change in physical condition (good or damaged). This can be used as a reference by the Asset Technical Implementer (UPT) so that asset management can run effectively and efficiently. The measure of system feasibility was calculated using a Likert scale obtained from the results in questionnaire with 12 respondents. The calculations are carried out taking into account 3 aspects, namely information quality, system quality and service quality. The measurement results of the three aspects are of a usability value of 87%, so the system that was built obtains the title of very feasible.
PENERAPAN METODE NAÏVE BAYES DALAM KLASIFIKASI KESEGARAN IKAN BERDASARKAN WARNA PADA CITRA AREA MATA Muchtar, Mutmainnah; Pasrun, Yuwanda Purnamasari; Rasyid, Rasmiati; Miftachurohmah, Nisa; Mardiawati, Mardiawati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3879

Abstract

As a maritime nation, fish is a staple in the Indonesian diet, rich in nutrition and a crucial protein source. It is imperative to maintain the freshness of fish to ensure the quality of fish production. However, the practice of mixing fresh and non-fresh fish poses a serious threat to consumer health and diminishes the overall quality of fish production. Therefore, the development of an automated and efficient method is necessary to distinguish between fresh and non-fresh fish. This research proposes the application of the Naïve Bayes method in classifying fish freshness based on color analysis in the eye area image. This approach involves the extraction of entropy features after segmenting fish images using the RGB and YCbCr color models. A total of 40 datasets of fish eye images were used for training and testing the model. The research results indicate that the proposed classification method achieved an accuracy rate of 97.5%. This success signifies the potential of the color analysis method and entropy features in distinguishing levels of fish freshness. These findings contribute to the development of automated techniques for monitoring and processing fish quality in the fisheries industry.
PERBANDINGAN JARAK EUCLIDEAN, CITYBLOCK, MINKOWSKI, CANBERRA, DAN CHEBYSHEV DALAM SISTEM TEMU KEMBALI CITRA BATIK Muchtar, Mutmainnah; Zainuddin, Noorhasanah; Sajiah, Adha Mashur; Ningsi, Nurfitria; Pasrun, Yuwanda Purnamasari
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5324

Abstract

Batik is a highly valuable cultural heritage in Indonesia, showcasing a rich diversity of motifs with deep meaning and aesthetics. To enhance the accessibility and utilization of batik collections, an efficient image retrieval system is essential. This study compares distance measurement methods in a batik image retrieval system: Euclidean, Cityblock, Minkowski, Canberra, and Chebyshev, using a combination of color and texture features. The dataset comprises 50 types of batik images. The results show that the Cityblock method achieves the highest Mean Average Precision (MAP) of 97.71, followed by Canberra with MAP 96.87. The Euclidean method also performs well with a MAP of 94.56, while Minkowski and Chebyshev have lower MAP values of 92.93 and 90.89, respectively. Chebyshev experiences the largest MAP drop when images are rotated (5.98), while Cityblock demonstrates the best resistance to rotation with the smallest MAP drop (1.51). This research successfully developed a Content-Based Image Retrieval (CBIR) system with a GUI in MATLAB and suggests integrating the latest image processing and machine learning techniques for further enhancement.
Evaluasi Proposal Program Kreativitas Mahasiswa (PKM) Menggunakan Sistem WP Risnawati; Pasrun, Yuwanda Purnamasari; Iin, Johar Nur; Muchtar, Mutmainnah
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The evaluation procedure for Student Creativity Program (PKM) projects necessitates an objective and efficient methodology to analyze several aspects. This project seeks to establish an evaluation system utilizing the Weighted Product (WP) approach to deliver transparent and quantifiable rankings of proposals. The review utilized five primary criteria: thematic relevance, innovation and creativity, technological feasibility, potential impact, and program sustainability, each assigned predetermined weights. Data from ten proposals were evaluated utilizing the WP approach, encompassing the phases of decision matrix normalization, preference value computation, and ranking. The findings indicated that Proposal 4 garnered the highest preference value (4.939), succeeded by Proposal 5 (4.889) and Proposal 2 (4.876), establishing them as the foremost recommendations for funding. The WP technique shown efficacy in improving the efficiency and impartiality of the PKM proposal selection process. This method's implementation can be utilized in other programs with comparable assessment difficulties
Training on the Use of Report Application Based on Ms. Excel with Curriculum 2013 for Teachers of SDN 105 Kendari Sari, Jayanti Yusmah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2024): November 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i2.192

Abstract

The implementation of the 2013 Curriculum (K-13) in elementary schools (SD) has brought significant changes to teachers' administrative activities, especially in filling out student report cards, which are now more complex compared to the previous curriculum. To facilitate the process of entering report card grades, teachers were provided with a report card application based on Microsoft Excel. However, at SDN 105 Kendari, most teachers encountered difficulties using the application due to limited technological knowledge, resulting in the report card process often being assisted by the school operator. To address this issue, the Faculty of Information Technology at Universitas Sembilanbelas November Kolaka organized training on the use of the K-13 report card application based on Microsoft Excel for the teachers at SDN 105 Kendari. The training was conducted in person, actively involving participants in each stage. The training covered an introduction to basic Microsoft Excel formulas and detailed use of the K-13 report card application. The results showed that the program ran smoothly and received positive feedback from the participants. It is hoped that the teachers will become more independent and efficient in filling out student report cards.
PELATIHAN WEB PROGRAMMING DI SMAN 06 BOMBANA DALAM RANGKA MENINGKATKAN DAYA SAING SISWA MENGHADAPI DUNIA TEKNOLOGI Zainuddin, Noorhasanah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah; Rustan, Fathur Rahman; Rasyid, Rasmiati; Ningsi, Nurfitria; Jimsan, Jimsan
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.24235

Abstract

Kegiatan Pelatihan Web Programming di SMAN 06 Bombana ini bertujuan meningkatkan keterampilan siswa dalam pengembangan web. Pelatihan dilakukan oleh tim dosen dan mahasiswa dari Universitas Sembilanbelas November Kolaka selama empat hari. Kegiatan dilaksanakan dalam bentuk workshop yang melibatkan siswa-siswi SMAN 06 Bombana sebagai peserta. Latar belakang kegiatan ini adalah kebutuhan akan pemahaman mendalam dalam bidang pemrograman web untuk meningkatkan daya saing siswa menghadapi dunia teknologi. Kegiatan terdiri dari empat sesi, mencakup konsep dasar web programming, praktik langsung menggunakan XAMPP, dan penerapan bahasa pemrograman PHP dan JavaScript. Setiap sesi berdurasi 2,5 jam, memberikan ruang bagi interaksi intensif antara tim dosen dan siswa. Selain itu, laporan mencatat partisipasi aktif siswa dan antusiasme mereka dalam mengaplikasikan pengetahuan yang diperoleh. Keberlanjutan program diusulkan melalui pemantauan siswa, pengembangan proyek kolaboratif, dan pemberdayaan guru sebagai fasilitator pembelajaran berkelanjutan. Keberhasilan pelatihan ini tercermin dalam peningkatan keterampilan web programming siswa yang dapat menjadi pondasi yang kuat untuk pengembangan potensi teknologi mereka di masa depan.
Decision Support System for Giving Kredit Usaha Rakyat Using the Moora Method Aulya, Novi; Adawiyah, Rabiah; Pasrun, Yuwanda Purnamasari; Nirsal, Nirsal
Jurnal Media Informasi Teknologi Vol. 1 No. 1 (2024): Februari 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v1i1.163

Abstract

People's Business Credit (KUR) is credit or financing in the form of working capital or investment aimed at MSMEs (micro, small and medium enterprises and cooperatives) in productive and viable but not yet bankable businesses with a loan ceiling of up to IDR 500,000,000. 00 guaranteed by the guarantor company. The difficulty faced in determining the prospective beneficiary is that the staff in the utilization section takes a long time to verify the files of the prospective people's business credit recipients. Therefore, an application is needed that can help staff of Bank BRI KCP Lapai, North Kolaka Regency, in determining credit recipients, namely a decision support system. This application is made by applying the MOORA method, the MOORA method is a method that has calculations with minimum and very simple calculations. This method has a good level of selectivity in determining an alternative. The approach taken by MOORA is defined as a process simultaneously to optimize two or more conflicting constraints. Based on the results of system testing using sample data that has been carried out on the Decision Support System, it produces 4 data , 1 data is feasible and 3 data is not feasible.
Co-Authors Abdul Malik Aisyah, Wa Ode Nur Aliniy Aliniy Amaliya Nurani Basyarah Andi Tenri Sumpala, Andi Tenri Anjar Pradipta Ariani, Irma Aulya, Novi Chastine Fatichah Djafar Djafar Fathur Rahman Rustan Haryati Haryati Hasidu, La Ode Abdul Fajar Ilayani, Ilayani Indar Ismail Jamaluddin Jayanti Yusmah Sari Jayawarsa, A.A. Ketut Jimsan, Jimsan Johar Nur Iin Jumadil Nangi, Jumadil La Ode Hasnuddin S. Sagala Mardiawati Mardiawati Mardiawati, Mardiawati Maulana, Sahrul Miftachurohmah, Nisa Muh Iskandar Z. A Muh Nurtanzis Sutoyo Muh. Ihsan Sarita Muhammad Syaiful Muliyadi Muliyadi Mutmainnah Muchtar Nanik Suciati Nasarudin, Nasarudin Natalis Ransi Nirsal Nisa Miftachurohmah Noorhasanah Zainuddin Novarida, Eka Nur Fajriah Muchlis Nur Fajriah Muchlis, Nur Fajriah Nurfitria Ningsi Phradiansah ., Phradiansah Rabiah Adawiyah, Rabiah Rahmat Karim Rasmiati Rasyid Riska Risnawati Rizal Adi Saputra Sajiah, Adha Mashur Sarimuddin, Sarimuddin Sudarman, La Suharsono Bantun Sutardi Sutardi Yuandi, Intan Anuggrah