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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.
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
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.
Optimasi Pemilihan Tenaga Kerja Bagang dengan AHP dan Weighted Product Maulana, Sahrul; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah; Yuandi, Intan Anuggrah
JISTech : Journal of Information Systems and Technology Vol. 2 No. 1 (2025): Juni 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/jistech.v2i1.61

Abstract

Choosing the appropriate personnel for bagang fishing units is essential for facilitating effective and efficient field operations. Nevertheless, selection processes dependent on subjective judgment frequently yield unsatisfactory outcomes. This study seeks to establish a decision support system utilizing a mix of the Analytical Hierarchy Process (AHP) and Weighted Product (WP) approaches to identify the optimal candidates. AHP calculates the hierarchical weight of each criterion by pairwise comparisons, whereas WP ranks alternatives based on preference values. The evaluation employs five primary criteria: work experience, physical endurance, discipline, capacity for night shifts, and technical skills. The results indicate that the most qualified individuals were objectively chosen, with A3, A7, and A5 receiving the greatest preference scores. This model provides a systematic framework for decision-making and is applicable in analogous circumstances necessitating multi-criteria selection. The implemented system has demonstrated an improvement in accuracy and transparency in labor recruiting in the conventional fishing sector.
PRAKERIN Monitoring Web-Based Information System with QR Code Implementation at SMK Negeri 3 Kolaka Ariani, Irma; Adawiyah, Rabiah; Sagala, La Ode Hasnuddin S; Zainuddin, Noorhasanah; Pradipta, Anjar; Pasrun, Yuwanda Purnamasari
Media of Computer Science Vol. 2 No. 1 (2025): June 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i1.235

Abstract

Student attendance monitoring during industrial internship programs (Prakerin) is still commonly carried out manually, leading to potential data inaccuracy, reporting delays, and inefficiency in school administration. The issue becomes more complex when a large number of students are placed in different locations, making it difficult for supervising teachers to monitor attendance in real time. This study aims to design and develop the PRAKERIN Monitoring Web-Based Information System with QR Code Implementation at SMK Negeri 3 Kolaka. The system was developed using the Waterfall model, which consists of requirement analysis, system design, implementation, and testing. Black-box testing confirmed that all system functions operated validly as intended. External evaluation using a Likert-scale questionnaire with 15 respondents indicated an average satisfaction rate of 82%, with 78% agreeing that the interface facilitated attendance access, 80% stating that the system improved real-time tracking, and 86% confirming that automated reporting supported evaluation. The findings demonstrate that the system is feasible, effective, and capable of enhancing transparency, accuracy, and efficiency in Prakerin monitoring.