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Training on making creative learning media using the canva application for MI and MTs Al-Mu'minin Kendari Teachers Fathur Rahman Rustan; Muhammad Syaiful; Rahmat Karim; Mutmainnah Muchtar; Jayanti Yusmah Sari; Phradiansah Phradiansah; Indar Ismail Jamaluddin; Suharsono Bantun; Nur Fajriah Muchlis; Yuwanda Purnamasari Pasrun; La Ode Hasnuddin S Sagala
Community Empowerment Vol 7 No 8 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.7106

Abstract

Attractive learning media has become a necessity for teachers at all levels of education. For this reason, educators need to improve their competence in making good learning media. However, there are still many teachers who are not familiar with using technology to support their teaching and learning activities. As felt by MI and MTs AL-Mu'minin Kendari teachers who still find it difficult to make interesting and creative learning media. This service activity aims to improve the ability of teachers to create interesting media using the Canva application. The stages carried out in this activity are (1) coordinating with the school and identifying the needs of the target audience; (2) carry out community service activities with lecture, question and answer methods, and guided practice; and (3) evaluate and assign independent assignments. The results of this program showed an increase in teacher skills in making interesting learning media as seen from the independent assignments that were collected.
Prediksi Jumlah Mahasiswa Baru Fti Usn Kolaka Menggunakan Metode Single Exponential Smoothing Aliniy Aliniy; Yuwanda Purnamasari Pasrun; Andi Tenri Sumpala
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 3 No. 1 (2023): April 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v3i1.1573

Abstract

The FTI student admission target every year is often not achieved. This happened because of the change in FTI's location, from USN Kolaka which was in Kolaka to USN Kolaka which was in Tanggetada. In addition, there are also other causes in terms of the large number of students who do not graduate on time, causing an unbalanced ratio of lecturers and students. This will reduce the assessment at the time of accreditation. Predictions are made to assist FTI in planning and making decisions to determine priorities for how many prospective students will be accepted each year. The observational data used are data on the number of new FTI students for the 2013-2021 academic year (9 periods) for the Information Systems study program and the 2018-2021 academic year (4 periods) for the Computer Science study program. Data processing is carried out using the Single Exponential Smoothing Method and MAPE (Mean Absolute Percent Error) accuracy testing. The results of testing this method are that for the information systems study program the predicted results obtained in the 2022/2023 academic year are 141 people, and the smallest value of MAPE = 26.67% which shows the ability of the forecasting model to be quite good (Reasonable). Meanwhile, for the computer science study program, the prediction results obtained in the 2022/2023 academic year were 116 people, and the smallest value of MAPE = 18.52%, which indicates a good forecasting model ability.
PELATIHAN PEMANFAATAN AUGMENTED REALITY DALAM PEMBELAJARAN DI DAERAH TANPA SIGNAL UNTUK MENDUKUNG PEMBANGUNAN BERKELANJUTAN Suharsono Bantun; Jayanti Yusmah Sari; Muhammad Syaiful; Fathur Rahman Rustan; Noorhasanah Z; Yuwanda Purnamasari Pasrun; Nurfitria Ningsi
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023): Volume 4 Nomor 4 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i4.19056

Abstract

Pendidikan berkualitas adalah salah satu tujuan penting dalam pembangunan berkelanjutan. Kemajuan ilmu pengetahuan dan teknologi semakin mendorong upaya pembaruan pemanfaatan teknologi dalam pembelajaran. Pada saat ini di SMP Negeri 6 Watubangga metode pembelajaran yang digunakan hanyalah ceramah, dimana guru menjelaskan materi di papan tulis atau siswa hanya membaca buku pelajaran. Kondisi ini menyebabkan siswa mengalami kesulitan dalam mengkonseptualisasikan materi pada beberapa mata pelajaran yang mereka pelajari. Akibatnya, proses pembelajaran dalam kelas tidak mencapai tingkat optimal yang diharapkan. Karena itu, tim pengabdian memutuskan untuk menjalankan Program Pengabdian kepada Masyarakat (PkM) dengan menyelenggarakan kegiatan sosialisasi sambil memberikan dukungan kepada guru dan siswa untuk memanfaatkan teknologi Augmented Reality (AR) dalam menciptakan media pembelajaran yang inovatif. Tujuan utama PkM ini adalah untuk meningkatkan pemahaman guru dan siswa dalam mengaplikasikan teknologi dalam proses pembelajaran. Pengabdian ini dilakukan dengan menggunakan metode sosialisasi dan pendampingan. Program Pengabdian kepada Masyarakat (PKM) ini berhasil mencapai dampak yang menguntungkan dengan meningkatnya pemahaman dan keterampilan para guru dalam memanfaatkan teknologi Augmented Reality (AR) untuk mengajar materi yang memerlukan visualisasi tiga dimensi (3D). Selain itu, pemanfaatan AR juga memberikan kontribusi positif dalam proses pembelajaran, terutama ketika menghadapi tantangan sinyal yang buruk dan konektivitas internet yang terbatas di sekolah.
Integrasi Layanan Peminjaman Sarana Prasarana dalam Manajemen Aset Menggunakan Framework Codeigniter dan Boostrap Sarimuddin Sarimuddin; Nasarudin Nasarudin; Yuwanda Purnamasari Pasrun; Nurfitria Ningsi; La Sudarman
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 Mutmainnah Muchtar; Yuwanda Purnamasari Pasrun; Rasmiati Rasyid; Nisa Miftachurohmah; 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.
Penentuan Tingkat Kesehatan Komunitas Mangrove Secara Otomatis Menggunakan Otsu Thresholding Sarimuddin Sarimuddin; Mutmainnah Muchtar; Yuwanda Purnamasari Pasrun; Laode Abdul Fajar Hasidu; Riska Riska
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9210

Abstract

Mangrove forests are one type of forest that grows in tropical and subtropical regions and plays a crucial role in maintaining ecosystem balance. One way to assess the health of mangrove communities is through regular monitoring and evaluation using modern technology such as digital image processing. The percentage of mangrove canopy cover can serve as a key indicator in evaluating the health and population density of mangrove communities. This study aims to implement the Otsu thresholding method in a digital image processing-based system capable of automatically determining the health status of mangrove communities based on the percentage of mangrove canopy cover. Mangrove canopy cover images were acquired using hemispherical photography techniques. Experimental results show that the system built using the Otsu thresholding method has an average Relative Absolute Error (RAE) of 0.034 and average Mean Error (ME) of 0.052, with an average processing time of 5.3 seconds. This indicates that the system can automatically determine the health status of mangrove communities in a relatively short time. It also suggests that the process of determining the health status of mangrove communities aligns with direct field observations.
PENGEMBANGAN APLIKASI KULIAH ONLINE SEBAGAI SARANA BELAJAR DAN PENILAIAN MAHASISWA DIMASA PANDEMI Muchlis, Nur Fajriah; Pasrun, Yuwanda Purnamasari
SemanTIK : Teknik Informasi Vol 7, No 2 (2021): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (795.114 KB) | DOI: 10.55679/semantik.v7i2.20666

Abstract

Perkuliahan online merupakan salah satu alternatif pembelajaran di perguruan tinggi yang dapat dilakukan selama masa pandemi Covid-19. Sebelum masa pandemi ditetapkan di Indonesia, beberapa perguruan tinggi telah mempertimbangkan dan mengimplementasikan metode pembelajaran online sebagai salah satu strategi pembelajaran. Tujuan dari penelitian ini adalah membangun sebuah aplikasi kuliah online berbasis mobile android yang mempunyai fitur berupa data mahasiswa, absensi online, upload dan download materi dan tugas kuliah serta penilaian (pengetahuan dan perilaku) mahasiswa yang dapat digunakan oleh dosen sebagai admin serta mahasiswa sebagai user dalam proses pembelajaran khususnya dimasa pandemi saat ini. Pembuatan aplikasi ini menggunakan model pengembangan RAD (Rapid Application Development) karena disesuaikan dengan jadwal pemakaian sistem yang mengharuskan sistem ini segera diimplementasikan.Kata kunci; Kuliah Online, Mobile Learning, Rapid Application Development
OPTIMASI SISTEM TUNJANGAN KINERJA PEGAWAI MENGGUNAKAN WEB SERVICE PADA BKP-SDM BOMBANA Pasrun, Yuwanda Purnamasari; Sarimuddin, Sarimuddin; Muchtar, Mutmainnah
SemanTIK : Teknik Informasi Vol 8, No 2 (2022):
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v8i2.28174

Abstract

Badan Kepegawaian dan Pengembangan Sumber Daya Manusia Kabupaten Bombana (BKP-SDM) selaku sentral pegawai yang bertanggungjawab dalam pengelolaan Tunjangan Tambahan Penghasilan Pegawai (TPP). Salah satu penilaian dalam menghitung besaran TPP adalah penilaian disiplin kerja melalui rekapitulasi kehadiran yang dihitung menggunakan aplikasi yang sudah ada yaitu SITUKIN. Masalah yang terjadi adalah sistem presensi belum terintegrasi dengan aplikasi SITUKIN, sehingga Operator BKP-SDM harus mengolah rekapitulasi dari 30 operator Organisasi Perangkat Daerah (OPD). Hal ini yang mengakibatkan proses perhitungan menjadi kurang efektif dan efisien. Penelitian ini mengusulkan adanya web service sebagai penghubung antara aplikasi presensi dengan aplikasi SITUKIN yang sudah ada sebelumnya. Aplikasi web service dibuat berdasarkan metode pengembangan sistem waterfall dengan pengujian menggunakan black-box yang diakhiri dengan aktifitas pemeliharaan berupa pengecekan jika terjadi kesalahan dalam aplikasi web service selama digunakan oleh operator BKP-SDM.Kata kunci; Aplikasi TPP, waterfall, web service
Implementation of the Dempster Shafer Method in an Expert System for Diagnosing Solanum Lycopersicum Pests and Diseases Wa Ode Nur Aisyah; Andi Tenri Sumpala; Yuwanda Purnamasari Pasrun; Mutmainnah Muchtar; Abdul Malik
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.v1i1.162

Abstract

Tomato (Solanum lycopersicum) is a horticultural crop as a vegetable or fruit with high economic value. One of the causes of decreased production is the presence of pests and diseases in tomato plants. The purpose of this research is to build an expert system to help the community, especially farmers, in diagnosing pests and diseases in tomato plants. The method used in this expert system is Dempster Shafer. The results achieved from the research were in the form of an expert system consisting of 10 pests and 7 diseases of tomatoes with 42 symptoms. The implication is that the user can choose the symptoms experienced by the plant, each symptom chosen has a weight that will be used to obtain disease determination results. Tests on 22 data show that the suitability between the application and the expert is 95%. This shows that the system is able to diagnose pests and diseases of tomato plants.
Implementasi Metode Time Series Simple Moving Average untuk Prediksi Penjualan Multi-Produk Eka Novarida; Yuwanda Purnamasari Pasrun; Muh. Nurtanzis Sutoyo
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.