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All Journal Jurnal Media Infotama Telematika : Jurnal Informatika dan Teknologi Informasi PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Pendidikan dan Pembelajaran Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Computer Science and Technology (JACOST) Jurnal Abdimas Serawai DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi JIMAKUKERTA JURNAL BESEMAH Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal TAM (Technology Acceptance Model)
Wijaya, Ardi
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EDUKASI GERSIS (GERAKAN SISWA HIDUP BERSIH DAN SEHAT) DI SDN 15 FAFANLAP, PAPUA BARAT DAYA MELALUI PROGRAM PERTUKARAN MAHASISWA MERDEKA Putra, Muhammad Ardiansah; Wijaya, Ardi; Alam, RG.Guntur; Hidayah, Agung Kharisma; Gunawan, Gunawan
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 7 No. 3 (2024): Agustus
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v7i3.7431

Abstract

Kegiatan ini bertujuan untuk membiasakan pola hidup bersih dan sehat di kalangan siswa-siswi di Kampung Fafanlap, Misool, Raja Ampat. Metode yang digunakan dalam kegiatan "Gersis (Gerakan Siswa Hidup Bersih dan Sehat)" yang dilakukan oleh mahasiswa PMM 4 di SDN 15 Fafanlap. 1.) Pengarahan dan Bimbingan dari Dosen Modul Nusantara dan Mentor. 2.) Interaksi Langsung dengan Siswa-Siswi. Melalui kegiatan "Gersis" ini, mahasiswa PMM 4 berupaya untuk memupuk kesadaran lingkungan di masyarakat Papua melalui pembiasaan pola hidup bersih dan sehat. Kegiatan ini menunjukkan bahwa membiasakan pola hidup bersih dan sehat harus dimulai sejak usia dini, yaitu di lingkungan sekolah dasar.
Implementasi Metode Point to Point Menggunakan Mikrotik Router Board Type RB411AH Untuk Akses Jaringan Internet Toyib, Rozali; Waluyo; Wijaya, Ardi; Apridiansyah, Yovi
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 1: MARET 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i1.259

Abstract

Permasalahan tata letak geografis dengan koneksi kabel antar gedung yang saling terisolasi dikarenakan kondisi perkantoran yang terletak diperbukitan dimana antar gedung satu terpisah dengan yang lain sehinggah tidak memungkin dilakukan penyambungan menggunakan. Metode distribusi akses  point-to-point ini juga biasa digunakan menghubungkan dua kantor yang berjauhan dengan jaringan ini diharapkan seluruh pengguna dapat mengakses internet secara bersama di ruang kerja masing-masing dengan dengan wireless (nirkabel).  Tujuan penelitian adalah mencoba penerapan board router akses point-to-point untuk komunikasi data secara point-to-point untuk mengatasi masalah tata letak geografis kondisi perkantoran di daerah perbukitan dimana gedung-gedung tidak dapat terkoneksi dengan kabel antar gedung terpisah satu sama lain kabel UTP maupun kabel fiber optic menggunakan mikrotik router board type RB 411AH dengan wireless. Hasil tersebut berdasarkan hasil pengujian access point dua access point dengan jarak yang sama, dimana jarak antara access point (30 meter) dengan client (laptop) adalah 15 meter, 20 meter dan 30 meter pada channel 4 dan 5 .Ada perbedaan ketika kekuatan sinyal yang diterima adalah 60%, tetapi ketika kebisingan mencapai 20%, situasinya buruk, koneksi harus mencapai 80% jika memungkinkan, dan jaringan point-to-point harus memperhatikan lokasi geografis, karena sinyal yang melalui gelombang sangat peka terhadap halangan/pohon atau bukit (LOS = line of sight).
Pelatihan Penggunaan Table Of Contents Di Microsoft Word Untuk Optimalisasi Penulisan Tugas Makalah Himpunan Mahasiswa PPKN Juliza, Sita; Janati, Iffah zafira; Fadli, Rengga; Yuda, Azildjian Arma; Alfarrizi, Jhodie; Wijaya, Ardi; Putra, OJi Herwanda
JURNAL BESEMAH Vol. 4 No. 1 (2025): JANUARI-JUNI
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jurnalbesemah.v4i1.1033

Abstract

Program Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk memberikan pelatihan penggunaan Microsoft Word table of contents (TOC) dalam pembuatan Makalah. Sasaran kegiatan pengabdian ini adalah Himpunan Mahasiswa PPKN Universitas Muhammadiyah Bengkulu. Metode yang digunakan dalam pelatihan ini adalah metode pelatihan langsung dengan pemaparan/presentasi, dan tanya-jawab. Kegiatan ini dilatar belakangi dari analisis kebutuhan HIMA PPKN, berdasarkan hasil observasi awal dan diskusi dengan Ketua Umum dan kepengurusan HIMA PPKN. Dari analisis ini diketahui bahwa para anggota belum terlalu mahir dalam pemanfaatan Microsoft Word untuk penyelesaian tugas kuliah, karena keterbatasan akses penggunaan laptop maupun komputer di rumah maupun di kampus. Solusi atas masalah ini adalah pemberian pelatihan pengenalan dan penggunaan fitur table of contents (TOC) di Microsoft Word. Pelaksanaan kegiatan PkM ini melalui beberapa tahapan berupa tahan persiapan berupa analisis kebutuhan para anggota dengan pihak kepengurusan, pemilihan tema kegiatan untuk menjawab kebutuhan tersebut, dan pengecekan kesiapan ruang pelatihan terkait kegiatan yang ditawarkan; tahap pelaksanaan dengan memberikan penjelasan dan presentasi terkait penggunaan fitur table of contents (TOC) di Microsoft Word, serta tahap evaluasi dengan mengukur keberhasilan pelatihan penggunaan pengaturan table of contents (TOC) di Microsoft Word kepada Himpunan Mahasiswa PPKN. Berdasarkan hasil evaluasi terdapat 12 peserta dari 14 peserta dapat menggunakan metode table of contents di word atau lebih kurang 85% keberhasilan dari pelatihan ini. Sehingga dapat disimpulkan hasil yang dicapai dari kegiatan ini adalah meningkatnya kemampuan literasi digital khususnya dalam pembuatan makalah menggunakan fitur table of contents (TOC) di Microsoft Word.
INTEGRASI SEJARAH LOKAL MUNA SEBAGAI ALTERNATIF PEMBELAJARAN SEJARAH NASIONAL INDONESIA wijaya, ardi; Syukur, Abdul; Umasih, Umasih
Jurnal Ilmiah Pendidikan dan Pembelajaran Vol. 4 No. 2 (2020): Juli 2020
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jipp.v4i2.25966

Abstract

Situs sejarah lokal yang memiliki keterkaitan materi dengan sejarah nasional Indonesia harus dapat dimaksimalkan oleh semua komponen pendidikan sebagai alternatif dalam pembelajaran sejarah yang selama ini hanya terkesan menghafal peristiwa sejarah yang ada dalam buku teks. Penelitian ini bertujuan untuk mengemukakan mengenai pembelajaran sejarah Indonesia yang berbasis pada potensi peninggalan budaya dan situs sejarah yang terdapat di Kabupaten Muna. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan melakukan kunjungan langsung ke lapangan. Hasil penelitian menunjukan bahwa situs sejarah Gua Liangkabori dan Masjid Kuba Loghiya yang ada di Kabupaten Muna dapat digunakan sebagai sumber belajar mengenai materi sejarah Indonesia masa pra sejarah dan proses masuk dan berkembangnnya islam di Indonesia. Kehadiran sejarah lokal dalam proses pembelajaran bukan untuk mendikatomi dengan sejarah Indonesia, tetapi bahwa kehadiran sejarah lokal memiliki tujuan mencairkan kebekuan dalam ruang pembelajaran serta untuk memperkaya objek sejarah yang akan digunakan dalam praktek pembelajaran. Sejarah lokal sangat diperlukan dalam proses transfer nilai-nilai kebudayaan sebagai bagian dari rencana menumbuhkan karakter peserta didik. Membuka cakrawala berfikir bahwa apa yang dialami saat ini merupakan bagian yang tidak terpisahkan dari proses sejarah masa lampau yang ada di sekitar lingkungan peserta didik.
Penerapan Teknologi Location Base Service (LBS) dalam Pencarian Stok Ketersedian Gas Bersubsidi di Distributor Resmi Wijaya, Ardi; Toyib, Rozali; Pirdaus, M Sapta; Della, Della Rahma
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7663

Abstract

The main problem is the distribution of these gases. Many other areas experience gas shortages, especially before holidays or other big events, it is difficult to obtain gas at such times. after conducting further investigation, I discovered that there were a number of games taking place in certain locations, most agents held back gas sales and waited for shortages so that gas prices could increase significantly and this also happened due to high public demand for gas at certain times, such as during Eid al-Fitr which has just passed, and this situation can arise when public demand increases, so that gas stocks can quickly decrease, without being balanced by equal distribution of gas. The solution to this problem is to develop an Android application that can show the location of places that provide gas, as well as monitoring gas stocks available in several locations. It is hoped that this can reduce gas containment measures, because this application can track who has purchased gas and who has not. In conclusion, this system makes it easy for users to obtain reel time information, but there are weaknesses that are influenced by the presence of open and closed spaces and inaccuracies between actual locations.
Perbandingan Metode KNN dan Naïve Bayes dalam Deteksi Tingkat Stres Berdasarkan Ekspresi Wajah Alamsyah, Malik Fajar; Wijaya, Ardi
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 2 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i2.8513

Abstract

Stress is a feeling in which a person feels under pressure, overwhelmed, and has difficulty in dealing with a problem. Stress can be caused by various factors, such as academic pressure, work, personal problems, or social environment. If not addressed immediately, stress can have adverse effects on an individual's health, such as causing high blood pressure, heart disease, sleep disturbances, and a decreased immune system, which makes a person more vulnerable to various diseases. Therefore, monitoring stress levels is very important to prevent more serious negative impacts. Generally, stress detection is done through consultation with a psychologist, but this method has a subjective nature and requires a lot of time and money. Therefore, this research develops a computer vision-based stress detection system using OpenCV and Dlib, with K-Nearest Neighbors and Naïve Bayes algorithms. The data of 500 samples is divided into 80% training data and 20% test data. Features were extracted, and stress was classified into three levels: low, medium and high. Evaluation using k-fold cross-validation (n_split=10, random_state=42) based on accuracy, precision, recall, and F1-score. The results showed that K-Nearest Neighbors with k=5 excelled with 74% accuracy, 73% precision, 73% recall, and 73% F1-score. Meanwhile, Naïve Bayes only achieved 52% accuracy, 51% precision, 48% recall, and 41% F1-score. This shows that KNN is more effective in stress level classification. However, the accuracy of the model is still limited due to the small amount of training data. Parameter optimization and dataset addition are required to improve the overall system performance.
Deteksi Kondisi Uang Bagus Dan Rusak Dengan Pengolahan Citra Digital Berbasis Convolutional Neural Network (CNN) Nandika, Arjun Putra; Imanullah, Muhammad; Wijaya, Ardi; Sunardi, Dandi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8121

Abstract

Intisari— Peredaran uang tunai yang layak edar sangat penting untuk menjaga stabilitas ekonomi dan kualitas transaksi keuangan. Namun, identifikasi kondisi uang kertas masih dilakukan secara manual, yang memakan waktu dan rentan terhadap kesalahan manusia. Penelitian ini mengembangkan sistem deteksi kondisi uang berbasis Convolutional Neural Network (CNN) untuk mengklasifikasikan uang dalam kondisi baik atau rusak secara otomatis. Dataset terdiri dari 500 gambar uang, yang diproses menggunakan augmentasi data dan dibagi menjadi 80% data latih dan 20% data validasi. Model CNN yang dikembangkan memiliki lapisan utama seperti konvolusi, batch normalization, ReLU, pooling, dan fully connected layer, serta dilatih dengan optimizer Adam selama 50 epoch dengan learning rate 0.00001. Implementasi sistem dalam Graphical User Interface (GUI) berbasis MATLAB mempermudah penggunaannya. Hasil pengujian menunjukkan akurasi validasi 93%, precision 97%, dan recall 96%. Survei terhadap Bank Indonesia menunjukkan sistem ini mendapat skor sempurna dalam efisiensi, akurasi, kemudahan pengoperasian, dan kecepatan deteksi. Dengan hasil ini, sistem memiliki potensi untuk diterapkan dalam layanan kas keliling Bank Indonesia dan lembaga keuangan lainnya. Kata Kunci: CNN, Pengolahan Citra Digital, Klasifikasi Uang, GUI
Implementasi Location Based Service Dalam Perancangan Aplikasi Pencarian Lokasi Tambal Ban Di Kota Bengkulu Ariestanto, Dian; Abdullah, Dedy; Muntahanah, Muntahanah; Wijaya, Ardi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8170

Abstract

The LBS technology used in the tire patch location search application in Bengkulu City will help customers find the tire patch that best suits their preferences and location. With its ever-evolving environment, Bengkulu will also benefit from the adoption of this technology. By incorporating LBS technology in the design of tire patch locator applications, the city can encourage local trade, provide support to small and medium-sized entrepreneurs, and create a healthier and more sustainable business ecosystem. The purpose of this research is to find and develop innovative solutions to meet customer needs and support the growth of local businesses. This study examines the potential benefits of incorporating LBS technology in the application of finding tire patching locations in Bengkulu City. Data Collection: Some of the methods used to collect data to obtain the necessary information are literature studies; This method involves reviewing research books and journals relevant to the research subject to gain a better understanding of materials such as Location-based Services, Google Maps APIs, and location-based services. The menu features, which are required to build this app, include an app menu that consists of the location of the tire patch and information about the tire patch.
IMPLEMENTATION OF BILATERAL FILTERING FOR AESTHETIC ENHANCEMENT OF FACIAL IMAGES Wijaya, Ardi; Febriani, Lovi; Muntahanah, Muntahanah; Veronika, Nuri David Maria
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1803

Abstract

Digital image is a representation of an image in the form of pixels arranged in a matrix. The image processing process includes acquisition, analysis, and manipulation to produce the desired output. In photography and social media, digital images play an important role in attracting attention. However, photos often experience problems such as noise and uneven lighting, which can reduce image quality. Therefore, image enhancement is needed to overcome these problems. The Bilateral Filtering method is one of the techniques that is very effective in reducing noise by considering the special distance and intensity differences between pixels, so that it can maintain the clarity of important elements in the image. This study aims to implement this technique in improving the aesthetics of facial images and evaluate its effectiveness in producing more attractive and high-quality images. from 50 datasets taken. The results of the study showed that Bilateral Filtering was able to improve the clarity of facial images without eliminating important details. The evaluation was carried out using image quality parameters such as PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index), which showed an increase in quality after the application of this method. In terms of user satisfaction, the results of the questionnaire showed that the satisfaction level reached 86.38%, which based on Table 5 is included in the "very good" category. Thus, the Bilateral Filtering method not only successfully improves the image quality without losing important details on the face. Objectively, but also provides high satisfaction for users in terms of aesthetics and visual comfort.
Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction Apridiansyah, Yovi; Ardiansyah, Adidi Muhammad; Wijaya, Ardi
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14510

Abstract

Purpose: In this research on face detection, many methods face challenges in the accuracy of age prediction due to the complexity of facial features that are influenced by factors such as lighting, expression, and image quality. Therefore, this research focuses on developing more accurate and efficient methods by utilizing Deep Neural Network (DNN) and YuNet. The purpose of this study is to develop a face recognition model in detecting and determining human age automatically using Python with the DNN method to study facial patterns in determining human age precisely and integrate the YuNet library as a lightweight face detection framework that is efficient in the identification process.Design/methodology/approach: In this study, a system was created for predicting human age using the Deep Neural Network method which functions to predict age based on facial patterns in images and the Yunet method as a facial image detector. The stages of this research start from taking pictures, installing python libraries, namely opencv, face detection process, and age detection process.Findings/result: The results of the study show that the DNN and YuNet methods have tested as many as 50 samples in the form of photos of human faces taken at a distance of half a meter, so by using the DNN and YuNet methods, researchers have succeeded in obtaining the age of the human face through the image processing process which can then obtain an accuracy level or Precission of 80% and the accuracy level of success between the prediction value and the actual value given by the system is 80%.Originality/value/state of the art: In this study, the system uses Python tools where in the face detection process using the YuNet method, this method is used because YuNet can directly detect facial features in the image and is lightweight in operation. In terms of DNN prediction, it functions as a method that can predict age based on the results of facial image detection. In this study, a dataset was also used for 50 facial samples that were tested for accuracy using the confussion matrix by looking for precission, recal, and accuracy values. 
Co-Authors Abdul Syukur Abdullah, Dedy Ade Ferdiansyani Agus Setiawan Agustio, Faidillah Alam, RG.Guntur Alamsyah, Malik Fajar Alfarrizi, Jhodie Andilala Anggara, Muhammad Andre Aprianti, Zalia Apridiansyah, Yovi Ardiansyah, Adidi Muhammad Ardoni, Yoan Ariestanto, Dian Arif Setiawan Avida, Meny Bagaskoro, Siswo Cheka, Julyane Kevin Dandi Sunardi Darnita, Yulia David Maria Vironika, Nuri Della, Della Rahma Dita, Willia Cahaya Fadli, Rengga Fadlikal Ilham Aditma, Afredo Febitri, Nora Febriani, Lovi Feni, Rita Fernando, Jerry Franata, Heru Gunawan Gunawan Guntur Alam Gustomi, Aldi Hariani, Merti Sri Hendri Wibowo, Sastya hidayah, agung kharisma Hidayat, Muhammad Husni Ikhlasul, Ridho Imanullah, Muhammad Janati, Iffah zafira Juhardi , Ujang Juhardi, Ujang Juliza, Sita Khairullah, Khairullah Kharisma , Agung Kirman Kirman, Kirman Kontesa, Ronaldo Kornengsih, Resnita Kurniawan, Edo marhalim, marhalim Maulana, M Fiqri Mawarni, Shindy Meyzera, Anes Muhammad Danil, Muhammad Mulyadi, Maheran Muntahanah Muntahanah, Muntahanah Mutiara Hikmah Nandika, Arjun Putra Nur'aini, Nur'aini Nurhayati Nurhayati Pahriza, Pahriza Pahrizal Pahrizal, Pahrizal Pirdaus, M Sapta Putra, Muhammad Ardiansah Putra, OJi Herwanda Putra, Riky Ade Putri, Dinda Raffles, Richard Rahmat, Deki Ramadhan, Arya Gilang Rasyid, Muhammad Soelaiman Renaldi Renaldi Rifqo, Muhammad Husni Rohman, Mohammad Abkar Nur Rosalina Rosalina Rozali Toyib Safitri Safitri Sahputra, Eka Selta Jaya Putra Sonita , Anisya Sonita, Anisya Sulaini, Soneta Supriatin Supriatin, Supriatin Surya Ade Saputera Tamara, Vivin Thiara, Rekhi Toyib, Rozali Umasih Umasih Veronica, Nuri David Maria Veronika, Nuri David Maria Waluyo Witriyono, Harry Yawahar, Jon Yuda, Azildjian Arma Yulia Darmi yuliadarnita, yuliadarnita Yuza Reswan