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All Journal Jurnal Ilmu Komputer Jurnal Pendidikan Teknologi dan Kejuruan Semantik Syntax Jurnal Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Transformasi: Jurnal Pengabdian Masyarakat Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) JOIV : International Journal on Informatics Visualization JIKO (Jurnal Informatika dan Komputer) JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Sains dan Informatika SINTECH (Science and Information Technology) Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Terpadu Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Gestalt : Jurnal Desain Komunikasi Visual Jifosi International Journal Of Computer, Network Security and Information System (IJCONSIST) Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Krisnadana Jurnal Ilmiah Teknik Informatika dan Komunikasi Harmoni: Jurnal Ilmu Komunikasi Dan Sosial Jurnal Krisnadana Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi KOMET
Made Hanindia Prami Swari
Informatika, Universitas Pembangunan Nasional Veteran Jawa Timur
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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PELATIHAN DAN PENDAMPINGAN IMPLEMENTASI E-LEARNING MARIBELAJAR DAN METODE PEMBELAJARAN BLENDED LEARNING UNTUK PARA GURU SD NEGERI PENJARINGANSARI II/608 SURABAYA Chrystia Aji Putra; Made Hanindia Prami Swari; Henni Endah Wahanani
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2022): Oktober 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v5i2.4950

Abstract

Management of learning facilities through good synergy between teachers, students, and parents is certainly needed not only during the pandemic, but also later when schools return to normal face-to-face learning activities as happened before the COVID-19 pandemic hit the world. The key to the formation of a good synergy is through good communication between the three parties, so an easy communication facility is needed. The accumulation of messages on whatsapp and participants can delete messages that have been sent to the management group. Assignment assessment becomes difficult and there is a possibility of missing assignments that have been collected by students in the group. Through this community service activity, the use of information technology is implemented through the development of the MariBelajar E-Learning application that adapts to the needs of students, teachers, and parents, especially at SDN Penjaringansari II/608. Like WhatsApp, the application that was built was made to be easy to use. The application will group students based on the class taken. At the beginning of the display of each class, students and parents will be presented with a menu such as a calendar that contains all activities, both material, task information, discussions, and daily task collection menus, so that all information can be well organized. In addition to system implementation, another agenda is the dissemination of blended learning methods which are a combination of offline and online learning methods that are very suitable to be applied in the current learning period. It is hoped that the socialization provided can be an alternative solution for effective learning methods for each class taught by the teacher at SDN Penjaringansari II/608
Usability Testing pada Sistem Kearsipan Dokumen Dosen Henni Endah Wahanani; Made Hanindia Prami Swari
Jurnal Krisnadana Vol 2 No 3 (2023): Jurnal Krisnadana – Mei 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v2i3.336

Abstract

Pengujian perangkat lunak merupakan salah satu hal penting yang wajib dilakukan untuk memastikan perangkat lunak yang dibangun telah memenuhi kebutuhan fungsional yang ditetapkan pada tahap analisis kebutuhan sistem serta mampu memenuhi harapan dan kebutuhan pengguna. Pada penelitian ini dilakukan pengujian sistem kearsipan dokumen dosen yang telah dibangun pada penelelitian sebelumnya dengan menggunakan pengujian black box dan usability testing. Berdasarkan hasil pengujian yang telah dilakukan maka didapatkan hasil bahwa sistem kearsipan dokumen dosen telah memenuhi semua fungsionalitas sistem sesuai skenario pengujian yang ditentukan. Sedangkan dari sisi kepuasan pengguna yang diuji menggunakan usability testing didapatkan hasil rata-rata diatas 3 pada semua aspek yang diuji, dengan kata lain sistem kearsipan dokumen dosen telah dinilai baik dari aspek usability.
Usability Testing pada Sistem Kearsipan Dokumen Dosen Henni Endah Wahanani; Made Hanindia Prami Swari
Jurnal Krisnadana Vol 2 No 3 (2023): Jurnal Krisnadana – Mei 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.762 KB) | DOI: 10.58982/krisnadana.v2i3.336

Abstract

Pengujian perangkat lunak merupakan salah satu hal penting yang wajib dilakukan untuk memastikan perangkat lunak yang dibangun telah memenuhi kebutuhan fungsional yang ditetapkan pada tahap analisis kebutuhan sistem serta mampu memenuhi harapan dan kebutuhan pengguna. Pada penelitian ini dilakukan pengujian sistem kearsipan dokumen dosen yang telah dibangun pada penelelitian sebelumnya dengan menggunakan pengujian black box dan usability testing. Berdasarkan hasil pengujian yang telah dilakukan maka didapatkan hasil bahwa sistem kearsipan dokumen dosen telah memenuhi semua fungsionalitas sistem sesuai skenario pengujian yang ditentukan. Sedangkan dari sisi kepuasan pengguna yang diuji menggunakan usability testing didapatkan hasil rata-rata diatas 3 pada semua aspek yang diuji, dengan kata lain sistem kearsipan dokumen dosen telah dinilai baik dari aspek usability.
Total revenue forecasting at BUMDEs using single moving average method Made Hanindia Prami Swari; Hendra Maulana; I Putu Susila Handika; I Kadek Susila Satwika
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3688

Abstract

The use of various information systems in supporting daily business activities has become common today, including the use of a financial recording system in BumDes Sarining Winangun Kukuh that has been built. However, to support managerial decision making, a profit/loss forecasting system is needed as a basis for making future business strategies. For this reason, this research develops a profit/loss forecasting system using the Simple Moving Average method. Based on testing the accuracy of forecasting using the MAPE method, the results show that the average error rate generated is 23.53% by using financial data for 1 year, where the smallest error rate is around 4%, while the highest error rate reaches a value of 0.632 or around 63.2%, so that it can help BUMDes in knowing total revenue forecasting.
Perancangan Desain Kemasan Wedang Jempol Bu Shobah Untuk Meningkatkan Awareness di Kota Blitar Aileena Solicitor Costa Rica El Chidtian; Made Hanindia Prami Swari; Chrystia Aji Putra
GESTALT : JURNAL DESAIN KOMUNIKASI VISUAL Vol. 5 No. 1 (2023): Gestalt : Jurnal Desain Komunikasi Visual
Publisher : Program Studi Desain Komunikasi Visual. Fakultas Arsitektur dan Desain Jalan Raya Rungkut Madya, Gn.Anyar, Surabaya, Jawa Timur 60294

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/gestalt.v5i1.136

Abstract

Usaha Mikro Kecil dan Menengah (UMKM) mempunyai peranan yang sangat penting dalam pertumbuhan ekonomi di Indonesia. Salah satunya, UMKM mampu menyerap tenaga kerja dalam jumlah besar. Wedang Jempol Bu Shobah merupakan UMKM yang berasal dari Blitar yang saat ini banyak tenaga kerja yang menghasilkan produk minuman herbal. Sayangnya, secara kemasan jauh sekali dari standart kemasan yang telah di tentukan. Namun jika tidak didukung dengan kemasan produk yang informatif dan estetik, maka akan sulit untuk UMKM bersaing dengan produk pabrikan. Perancangan ini merancang kemasan produk minuman wedang jempol Bu Shobah dengan tujuan untuk menambah segmen pasar sekaligus meningkatkan awareness.
Implementasi SuperTML Untuk Klasifikasi Genre Musik Indonesia Joni Bastian; Made Hanindia Prami Swari; Andreas Nugroho Sihanto
Harmoni: Jurnal Ilmu Komunikasi dan Sosial Vol. 1 No. 4 (2023): Desember : Jurnal Ilmu Komunikasi dan Sosial
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/harmoni-widyakarya.v1i4.1516

Abstract

Music genres are becoming increasingly diverse, and many people listen to music because it has benefits such as refreshing, motivating or therapeutic. However, with the increasing number of genres, some listeners have a tendency towards the type of genre they like. In Indonesia itself, there are several popular music genres such as pop, folk, rock, indie and dangdut. Classification of music genres is an interesting topic when looking at this behaviour. Several approaches to classify popular music genres include audio and tabular data approaches. In this research, classifying music genres using an image approach by implementing SuperTML to change the form of tabular data into image form, which is then trained using a pre-trained CNN Densenet, succeeded in achieving an accuracy of 67%.
Improving the Performance of the General Course Scheduling System at UPN Veteran Jawa Timur through the Application of the IWCFPSO Algorithm Made Hanindia Prami Swari; Chrystia Aji Putra; I Putu Susila Handika; Dwi Wahyuningtyas
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.68128

Abstract

Algorithm selection is the main key in producing a system, especially an artificial intelligence-based system, for example, a course scheduling system that involves many constraints in producing an optimal schedule. This research develops a scheduling system using the ICWFPSO algorithm which is a development from previous research, namely the development of a scheduling system using the MIPSO algorithm. The use of inertia weight in the MIPSO algorithm which is used as a scheduling algorithm in previous research can be optimized by using a combination of inertia weight and constriction factor. Scheduling system development is carried out using the waterfall method with research steps namely problem and needs analysis, data collection and literature study, system design, system implementation, and ends with testing the performance of the algorithms that are applied to the scheduling system that is built. Based on the tests carried out, it can be concluded that the ICWFPSO algorithm provides 2 times better performance compared to the MIPSO algorithm in terms of optimal schedule generation time. Meanwhile, tests carried out on CPU and RAM usage showed that there was no significant impact on these two parameters through the implementation of MIPSO and ICWFPSO in the course scheduling system created. Keywords: best scheduling, ICWFPSO, number of iterations
Rancang Bangun Sistem Bank Ternak Pada Bumdes Sarining Winangun Kukuh Menggunakan Framework Codeigniter Hendra Maulana; Made Hanindia Prami Swari; I Putu Susila Handika; I Kadek Susila Satwika
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.178

Abstract

Livestock businesses in the Kukuh Village area, Tabanan District, Bali Province, have faced a big problem, namely the existence of a virus outbreak that causes many livestock to lose their lives every day. From this outbreak, it is hoped that the local government will be able to help deal with the problems faced so that livestock businesses can continue to carry out activities to raise and trade livestock under proper and profitable conditions. At present the local government has found a solution in dealing with this, the solution offered is to carry out training and guidance on raising livestock which is provided directly by veterinarians from the UPTD Puskeswan II Tabanan Tabanan Agriculture Office which covers the Kerambitan District. In addition, the government of Kukuh Bali village made a new policy to assist breeders to meet the needs for breeding capital through a new program called the livestock bank. The Livestock Bank is a service provided by the local government of the village of Kukuh Tabanan Bali to livestock businesses that still have doubts and fears about starting large livestock as well as to livestock businesses that do not have venture capital. The livestock bank program uses a gutter system, where the farmers will be given capital in advance by the BUMDes. The implementation of this web-based Livestock Bank application uses the PHP programming language with the CodeIgniter framework, the livestock bank application acts as an intermediary between the breeder and the financier, where the breeder acts as a negotiator to make it easier for breeders with insufficient managerial and administrative capabilities, and their business is not assessed. bankable by the lending financial institution.
PENERAPAN METODE REGRESI LINEAR UNTUK PREDIKSI PENJUALAN SUKU CADANG Wariyanti Nugroho Putri; Made Hanindia Prami Swari; Retno Mumpuni
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.3462

Abstract

Penelitian ini bertujuan untuk memperkirakan berapa banyak suku cadang yang akan terjual di Bengkel New Perdana di masa depan. Penting untuk memperkirakan penjualan suku cadang karena kekurangan stok dapat membuat pelanggan kecewa dan kelebihan stok dapat menimbulkan biaya dan ruang yang tidak perlu. Oleh karena itu, sangat penting untuk memperkirakan stok yang dibutuhkan untuk periode berikutnya. Penelitian ini menggunakan metode Regresi Linear untuk memperkirakan penjualan suku cadang di masa depan. Data yang digunakan adalah data penjualan suku cadang dari Januari hingga Desember 2022, dengan total 105 jenis suku cadang. Hasil pengujian menunjukkan bahwa metode regresi linear dapat memprediksi penjualan suku cadang dengan eror sekitar 42.2177803% berdasarkan pengujian sMAPE. Penelitian ini diharapkan dapat membantu Bengkel New Perdana mengelola suku cadang mereka dengan lebih efisien dengan memberikan proyeksi yang lebih akurat.
PENGARUH OPTIMASI DALAM KLASIFIKASI TUMOR OTAK DENGAN HIBRIDA CNN-VIT Sukandar, Ivan Christopher; Tri Anggraeny, Fetty; Hanindia Prami Swari, Made
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 18 No 1 (2024): Mei 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v18i1.3557

Abstract

A tumor is an abnormality in cells that causes cells that should live and die at a certain time to remain alive and grow abnormally. Tumors can affect all parts of the human body such as the brain. In diagnosing tumors, artificial intelligence can be used to perform classification or detection quickly. The use of artificial intelligence such as Convolutional Neural Network (CNN) has been commonly used to enter the medical field. Besides CNN, there are also other algorithms such as Vision Transformer (ViT) to do similar work. Therefore, a hybrid of the two methods is used to support the advantages of each algorithm and get satisfactory results. The results of the CNN-ViT hybrid used in this study obtained the highest results with an Adam Optimization with Learning Rate of 0.001% with an accuracy of 94%, recall and f1 score of 94% and precision of 95%.
Co-Authors Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Aileena Solicitor Costa Rica El Chidtian Akbar, Fawwaz Ali Andreas Nugroho Sihananto Andreas Nugroho Sihanto Anggraini Puspita Sari Ani Dijah Rahajoe Arifan, Miftakhul Askara Raditya Aurora Prameswaty, Almira Azhari SN Basuki Rahmat Damayanti, Alfina Diyasa, I Gede Susrama Mas Dwi Wahyuningtyas Eva Yulia Puspaningrum Faisal Muttaqin Faisal Muttaqin Fetty Tri Anggraeny Firmansyah Firdaus Anhar Firza Prima Aditiawan Gilang Gema Ramadhan Handika, I Putu Susila Henni Endah Wahanani Hindrayani, Kartika Maulida Hutagaol, LeonHoss I Gede Winaya I Gusti Ngurah Agung Mahendra I Kadek Susila Satwika I Kadek Susila Satwika I Nyoman Sujana I Putu Susila Handika I Putu Susila Handika I WAYAN SUDIARSA Ika Nur Habibah Jannatul Firdaus Joni Bastian Joni Bastian Julastri, Bregsi Atingsari Kevin Santosa, Mochammad Lintang Perdana Rochmat Sugiharto Mandyartha, Eka Prakarsa Martoni Martoni Maulana, Hendra Muhammad Farhan Maulana Muhammad Hakam Fardana Muhammad Rifki Bahrul Ulum Muhammad Syafril Hidayat Muttaqin, Faisal Muttaqin, Faisal Nabila Rizky Amali Putri Ngurah Agus Sanjaya ER Nine Alvariqati Varqa Ansori Nugroho Sihananto, Anderas Permana, Eriko Indra Phitria, Shaum Pratama Wirya Atmaja Pratiwi, Nisa Prismahardi Aji Riyantoko Putra, Chrystia Aji Rabbani, Rafi Rahel Widya Arianti Rahel Widya Arianti Rahmadsyach, Mochammad Taufiq Retno Mumpuni Risnaldy Novendra Irawan Satria, Vinza Hedi Satwika, I Kadek Susila Sugiarto Sukandar, Ivan Christopher Syaifullah Jauharis Saputra, Wahyu Tasya Ardhian Nisaa' Tentra Olivia Tresna Maulana Fahrudin Tresna Maulana Fahrudin Ulummuddin, Ikhya Wahyu Syaifullah Jauharis Saputra Wariyanti Nugroho Putri Wayan Gede Suka Parwita Welda Wirya Atmaja, Pratama Yuniar Purbasari, Intan