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THE EFFECT OF PLAYABILITY ON USER EXPERIENCE IN "JOKO RUN" GAME Marisha Pertiwi; Riwinoto , S.T., M.Kom.; Ilmi Nazar Hamdi; Wenny Febrina Putri
JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING Vol 3 No 1 (2019): Journal of Applied Multimedia and Networking
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.605 KB) | DOI: 10.30871/jamn.v3i1.1386

Abstract

Playability is the easiness of a game player in playing games, while user experience is a game player's reference to the level of satisfaction of a game. A game certainly has an element of playability so that connoisseurs always play the game so as to produce a high level of user experience. Joko Run is one of the games similar to Subway Surfer game which is the best endless runner game for android that is easy to play. The purpose of this study is to find out the aspects of playability and user experience that must be fulfilled by game developers when designing a game and the influence of playability of the game on the level of user experience of the game "Joko Run". This study uses descriptive and verification methods, descriptive methods to know the aspects of playability and user experience, then the verification method to find the influence of playability on the user experience. Based on the results of the descriptive analysis of playability obtained an average of 109.05, in the range of 105-129, which is easy. Whereas for descriptive analysis user experience obtained an average of 110.25, which is in the scale of 105-129, which is easy. Based on the results of the verification analysis obtained the coefficient of determination or the influence of playability on the user experience of 0.664 or 66.4%, is between 0.60-0.799 which is strong. So, game players can play "Joko Run" easily without having to learn the pattern of the game. Game players can also use the game features "Joko Run" smoothly, so that users feel the ease of playing the game and enhance the experience of the game player "Joko Run. Then, there is the influence of playability on the user experience game "Joko Run". A game that has easy playability tends to increase user experience, on the contrary if the playability of a game is low then it decreases the user experience.
Identifikasi Citra Paru-Paru pada Pasien COVID-19 dengan Teknik Edge Detection Marisha Pertiwi
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.281 KB) | DOI: 10.37034/jsisfotek.v4i4.146

Abstract

X-ray chest radiographs produce digital radiographic images of the chest area such as the lungs, heart and ribs. This image can visualize the lung condition of patients with COVID-19. The Edge Detection technique can see the edges of objects in the lungs of COVID-19 patients more clearly. The lungs of patients with COVID-19 are damaged due to the GGO (Ground Glass Opacity) COVID-19, namely there is white fog, the lungs look blurry at the edges or areas affected by the disease and also affect the area of ​​​​the area. This technique can make it easier for health workers to see X-ray results on objects in the lungs of COVID-19 patients and assist doctors in handling COVID-19 patients. With advances in the computer field in the application of image processing techniques, this Edge Detection Technique uses Matlab software to obtain edge and area images of clean lungs in COVDI-19 patients. The data used in this study were 30 samples of lung images of COVID patients and 10 images of healthy patients' lungs as a comparison sourced from Embung Fatimah Hospital Batam, which were processed in the grayscale stage, then the image was preprocessed with Intensity Adjustment then segmented with Active Contour and then using Edge Detection Technique. The results of this study were as many as 22 lung images produced an accuracy value of 73%. The image of the test results with the Edge Detection Technique to identify the edges of the object's lungs of COVID-19 patients which are quite clear by producing white pixels that are so visible. The perimeter of the right lung of COVID-19 patients ranged from 110,897 - 261,254 mm and Area 267,719 - 940,668 mm2, Perimeter of the left lung ranged from 114,613 - 262,943 and Area 170.616 - 856,993 mm2, while healthy patients as comparison had the right lung Perimeter range of 187,598 -270,624 and Area 514,947 - 1025.44 mm2, Perimeter of the left lung 182,226 - 287,358 and Area 480,592 - 901,418 mm2 means that COVID-19 virus infection reduces lung area, the range of COVID-19 lungs is lower than healthy lungs.
IDENTIFIKASI CITRA IKAN UNTUK MENDETEKSI KESEGARAN IKAN LAUT MENGGUNAKAN METODE HUE SATURATION VALUE DAN K-NEAREST NEIGHBOR Pertiwi, Marisha; Ramdhani, Nida Mardhiyah; Manik, Agustina Sartika Yos Ekaristi
Jusikom : Jurnal Sistem Komputer Musirawas Vol 9 No 2 (2024): Jusikom : Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v9i2.2389

Abstract

Marine fishery resources contribute to food needs, especially for local communities. The Riau Islands is one of the provinces with abundant marine products but only has 1 fishing port, which can trigger an increase in fish prices in the market and for consumers because the costs incurred by ship owners are getting higher. In addition, it will also cause a decrease in the quality of fish or fish that are not fresh because of the long production chain, which takes a lot of time. Currently, identification of fish freshness is still done manually by fishermen, traders, and consumers. This will certainly make it a little difficult to distinguish between fresh fish and fish that are no longer fresh. One way to recognize and identify fish freshness in the field of informatics is to use image processing. This study will create an image processing system to identify fish freshness using the hue saturation value (HSV) and k-nearest neighbor (K-NN) methods. Based on the results of testing marine fish images, namely mackerel and tuna, which were carried out using the HSV and K-NN methods, it was found that the identification of the quality of freshness of marine fish using the Hue, Saturation, and Value (HSV) color feature extraction was successfully applied with an accuracy value of 100% for the test image of mackerel and 95% for the test image of tuna.
Improving the Quality of X-Ray Images of the Lungs of COVID-19 and Healthy Patients Using the Contrast Limited Adaptive Histogram Equalization (CLAHE) Method in Batam Pertiwi, Marisha; Magfira, Fortia; Rahmaisyah, Dwi; Alajuri, M. Hasbi Sidqi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.3

Abstract

X-ray imaging is a widely used technique for observing lung patients conditions. Compared to other radiographic methods, X-ray is more accessible, cost-effective, and commonly available in healthcare facilities. However, digital X-ray images often suffer from low quality, particularly in terms of image contrast, which complicates the process of identifying lung abnormalities accurately. In Embung Fatimah Hospital in Batam, X-ray imaging is routinely used to screen COVID-19 and healthy patients. To address the issue of poor image contrast, this study applies the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique, aiming to enhance image clarity and support more effective analysis. The research involved 20 lung X-ray images, consisting of 10 from COVID-19 and 10 from healthy patients, retrieved from the hospital’s radiology department system. The images underwent digital processing using Matlab software. The workflow included converting the images to grayscale before applying contrast enhancement with the CLAHE method, using three different distribution types: Uniform, Rayleigh, and Exponential. Following enhancement, Peak Signal to Noise Ratio and Mean Square Error metrics were calculated for each distribution type to evaluate image quality improvement. The result shown that all three CLAHE methods effectively enhanced the visual contrast of the lung images. The average MSE values for COVID-19 images were 26.27, 25.25, and 25.62, while for healthy images they were 28.27, 27.35, and 27.44. Meanwhile, the average PSNR values for COVID-19 images reached 155.63, 196.58, and 180.58, with healthy images scoring 98.27, 122.22, and 118.97. Overall, the process achieved an accuracy of 100%.
PENGUATAN PENGETAHUAN DASAR AI UNTUK SISWA SMA DALAM KONTEKS PEMECAHAN MASALAH Magfira, Fortia; Zuleriwati A.S; Manik , Agustina Sartika Yos Ekaristi; Pertiwi , Marisha; Silaban , Yessy Christanti
PUAN INDONESIA Vol. 7 No. 1 (2025): Jurnal PUAN Indonesia Vol. 7 No. 1 Juli 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i1.416

Abstract

The development of Artificial Intelligence (AI) technology is rapidly advancing and has been applied across various fields, including education. However, high school students' understanding of AI remains limited. To address this, a community service activity in the form of an Inspiration Class was held at SMA Islam De Green Camp Tanjungpinang on June 4, 2025. This activity aimed to introduce the basic concepts of AI and its application in solving everyday problems. The activity employed an educational and participatory method, including interactive presentations, discussions, Q&A sessions, and simple simulations. The session was delivered by lecturers from Universitas Maritim Raja Ali Haji (UMRAH) and attended by 51 students. The material covered the definition of AI, examples of its implementation, and its role in modern life particularly in education, healthcare, and the environment. The results showed that students were enthusiastic and actively engaged in discussions. They began to understand the basic concepts of AI and how the technology can be used as a tool for problem-solving. This activity successfully sparked interest, curiosity, and critical thinking among students regarding technological developments.
A Smart Web Application for Real-Time Indoor Temperature and Humidity Monitoring Hasbi, M. Hasbi Sidqi Alajuri; Hollanda Arief Kusuma; Marisha Pertiwi; Tonny Suhendra; Gilang Satria Wahyu Dewantara
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 03 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss03/606

Abstract

Learning comfort is influenced by the environment, including temperature and humidity. This study validates the temperature and humidity monitoring device (DHT 22) in the dashboard system of the Department of Electrical Engineering. The results show high accuracy, with 98.96% for temperature and 98.93% for humidity, and an average error rate of 1.04%. Validation was conducted at BMKG Tanjungpinang for four days, with data recorded every minute for 24 hours. User satisfaction evaluation using the System Usability Scale (SUS) yielded an average score of 57, categorized as "Not Acceptable." Nevertheless, users still provided relatively positive feedback. These findings emphasize the need for improvements in dashboard design, user experience, and additional training. Recommendations include utilizing third-party platforms and evaluating the hardware and interface to enhance system usability.
PELATIHAN PEMBUATAN KONTEN PROMOSI MEDIA SOSIAL UNTUK MENINGKATKAN POTENSI WISATA DI PANTAI GASENG TANJUNGPINANG Herikson, Rifaldi; Pertiwi, Marisha; Fahmitra, Novrizal Fattah; Yandri, Sepli; Chidmahdjati, Aria Bagiasa
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Volume 6 No. 2 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i2.42230

Abstract

Pariwisata memegang peranan penting dalam mendukung perekonomian, melestarikan budaya, dan memberdayakan masyarakat, khususnya negara Indonesia yang kaya akan destinasi wisata. Sektor pariwisata saat ini masih menghadapi tantangan terutama pada kurangnya minat untuk membuat konten media sosial sebagai sarana promosi wisata. Tantangan ini bisa diatasi dengan solusi edukasi dan promosi wisata berbasis digital. Tujuan penelitian ini untuk meningkatkan pemahaman masyarakat tentang pentingnya pariwisata lokal dan memperkuat daya tarik destinasi wisata melalui pelatihan pembuatan konten media sosial. Kegiatan Pengabdian kepada Masyarakat (PKM) ditujukan kepada warga setempat di Pantai Gaseng Tanjungpinang, Kepulauan Riau dengan memberikan pelatihan pembuatan konten media sosial untuk promosi pariwisata Pantai Gaseng. Hasil dari kegiatan PKM ini menunjukkan antusiasme tinggi dari peserta yang aktif berdiskusi dan menghasilkan konten media sosial. Program ini berhasil meningkatkan wawasan peserta terkait potensi pariwisata lokal dan teknologi digital sekaligus mendorong pertumbuhan ekonomi inklusif yang berkelanjutan. Meski demikian, sinergi dan kolaborasi antara pemerintah, pelaku usaha, dan Masyarakat juga diperlukan untuk dapat mengoptimalkan pemanfaatan teknologi digital yang mendukung pariwisata di Kota Tanjungpinang.
Transformasi Digital Sekolah Piloting: Pengembangan dan Pelatihan Website Profil sebagai Media Informasi dan Promosi di SDN 012 Tanjungpinang Kota Irawan, Feri; Efranda, Nolan; Slam, Berta Erwin; Herikson, Rifaldi; Fahmitra, Novrizal Fattah; Magfira, Fortia; Pertiwi, Marisha; Sinaga, Daniel
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari (In Progress)
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/060b5j02

Abstract

Pemanfaatan teknologi informasi di lingkungan sekolah dasar menjadi langkah strategis dalam meningkatkan efektivitas kegiatan belajar dan administrasi. Kegiatan pengabdian kepada masyarakat ini dilaksanakan di SD Negeri 012 Tanjungpinang Kota dengan tujuan untuk mengembangkan dan mengimplementasikan Sistem Informasi Manajemen Sekolah (SIMS) yang dapat membantu dalam pengelolaan data akademik, kehadiran siswa, jadwal pelajaran, serta administrasi guru dan staf. Permasalahan yang dihadapi sekolah sebelumnya adalah proses administrasi yang masih dilakukan secara manual, sehingga menghambat efisiensi dan akurasi pengelolaan data. Melalui kegiatan ini, tim pengabdian melakukan analisis kebutuhan, perancangan sistem berbasis web, serta pelatihan penggunaan sistem bagi guru dan tenaga kependidikan. Hasil kegiatan menunjukkan bahwa penerapan SIMS mampu meningkatkan kecepatan akses informasi, mempermudah proses pencatatan dan pelaporan, serta mendukung transparansi dalam pengelolaan administrasi sekolah. Selain itu, guru menjadi lebih terbiasa dalam memanfaatkan teknologi digital untuk menunjang kegiatan belajar mengajar. Dengan demikian, kegiatan ini berkontribusi dalam mendorong transformasi digital di lingkungan pendidikan dasar dan memperkuat kapasitas sekolah dalam pengelolaan informasi secara efektif dan berkelanjutan.