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All Journal Jurnal Algoritma Jurnal sistem informasi, Teknologi informasi dan komputer Format : Jurnal Imiah Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Mitra Manajemen JURNAL ILMIAH INFORMATIKA Jurnal Teknik Informatika UNIKA Santo Thomas Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) EDUMATIC: Jurnal Pendidikan Informatika JISICOM (Journal of Information System, Infomatics and Computing) ScientiCO : Computer Science and Informatics Journal Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal of Applied Multimedia and Networking JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Indonesian Journal for Social Responsibility Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Jurnal Dialektika Informatika (Detika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Computer Science (CO-SCIENCE) Technologic J-SAKTI (Jurnal Sains Komputer dan Informatika) INSANtek – Jurnal Inovasi dan Sains Teknik Elektro JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Algoritma Paradigma Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat TECHNOLOGIC KOMPUTASI
Jordy Lasmana Putra
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Computer Science (CO-SCIENCE)

 1 
Penerapan Game Development Life Cycle Untuk Video Game Dengan Model Role Playing Game Mustofa Mustofa; Jordy Lasmana Putra; Chandra Kesuma
Computer Science (CO-SCIENCE) Vol. 1 No. 1 (2021): Januari 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i1.158

Abstract

The development of technology and information drives the acceleration of a very dynamic world. With this discovery, computer technology, which was created as a tool for human work, has now developed into a means of games, entertainment, communication and so on. In the entertainment sector, one of the most popular pieces of technology is the video game industry. However, information and knowledge regarding video game development is not very popular in Indonesia, especially about the Life Cycle in the video game development process. In addition, video games have a wide variety of genres and different role-plays. So that not all Game Development Life Cycle (GDLC) models fit into certain game categories, especially the RPG (Roled Playing Game) genre which has unique role-playing. So it is necessary to have a suitable testing model. This study aims to test whether the Life Cylce Development Game proposed by Rido Ramadan and Yani Widyani can be used in the development of RPG (Roled Playing Game) video games. The results show that video game development using the Game Development Life Cycle (GDLC) proposed by Rido Ramadan and Yani Widyani, this video game can run well.
Rancang Bangun Aplikasi Pembelajaran Bahasa Arab Untuk Siswa Madrasah Ibtidaiyah Berbasis Android Waeisul Bismi; Musriatun Napiah; Jordy Lasmana Putra; Fajar Shidiq
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.256

Abstract

With the increasingly open mindset of society today, especially Indonesia, it makes it easy for us to accept new things and implement them in our lives, these new things appear in many aspects such as one of which is education. In terms of education, it is better if it is carried out at an early age, especially in terms of learning a second foreign language or a foreign language substituting for English, this is what elementary school teachers have realized and has begun to be implemented recently, to do this elementary schools need tools to create methods. this learning becomes effective. Therefore the authors make an Arabic learning application that will make it easier for elementary school teachers to effectively introduce basic Arabic such as the recognition of the names of the day for elementary school children, which is equipped with sounds and images that can attract children's interests. This application can be run on an Android smartphone with a minimum Android OS 5.0 (Lollipop) and a maximum Android OS is 8.1 (Oreo).
Memprediksi Pola Ban Hero Pada Game Mobile Legends Menggunakan Algoritma Apriori Jordy Lasmana Putra; Syarah Seimahuira
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.512

Abstract

In this digital era, the development of video games is so rapid, from console-based to smartphone devices. One of the trending video game genres is the Multiplayer Online Battle Arena (MOBA) with one of the most popular MOBA games, the Mobile Legends game. In winning a match in a Mobile Legends game, a good game strategy is needed from each team to defend the base and destroy the opponent's base, one of which is by Ban Hero or banning some existing heroes so that they cannot be used both for the opposing team and for the opposing team. own team. Therefore, this study was conducted to predict the pattern of hero tires using the Apriori algorithm which was carried out on 9 attributes of Hero Mobile Legends. From the results it is known that CHOU Hero is more widely used and not banned compared to 8 other Heroes
Prediksi Kualitas Tidur: Pendekatan Machine Learning yang Mengintegrasikan Faktor Kesehatan dan Lingkungan Putra, Jordy Lasmana; Hidayat, Wahyutama Fitri
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.4737

Abstract

Sleep disorders significantly affect an individual's sleep quality, which can lead to serious health problems. For the elderly, poor sleep quality can drastically reduce life expectancy. The main problem is the lack of effective predictive tools to improve sleep quality among the elderly, compounded by the numerous factors that can influence their sleep quality. Therefore, analysis and prediction are necessary to enhance sleep quality. This study aims to develop and test a predictive model for sleep quality in the elderly by integrating health and environmental factors using a machine learning approach. The dataset used is a new one available on the website Kaggle.com, namely the National Poll on Healthy Aging (NPHA) data, which provides insights into health issues, healthcare, and health policies affecting Americans aged 50 and above. The aim is to improve sleep quality among the elderly. A machine learning method, specifically deep learning with the Random Forest algorithm, was used in this study and showed good results with an accuracy rate of 94.00% and a training data accuracy of 44.44%. The results of this study are expected to provide a predictive tool that can be used by healthcare practitioners to improve the sleep quality of the elderly, thereby positively impacting their health and life expectancy.
Prediksi Kualitas Tidur: Pendekatan Machine Learning yang Mengintegrasikan Faktor Kesehatan dan Lingkungan Putra, Jordy Lasmana; Hidayat, Wahyutama Fitri
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.4737

Abstract

ganguan tidur sangat mempengaruhi kualitas tidur seseorang yang dapat menyebabkan masalah kesehatan yang serius, untuk kalangan lansia kualitas tidur yang buruk dapat menyebabkan tingkat harapan hidup menurun drastis. Banyak sekali faktor-faktor yang dapat mempengaruhi kualitas tidur lansia, yang perlu dilakukan analisis dan prediksi agar dapat meningkatkan kualitas tidur yang baik. Penelitian ini bertujuan untuk melakukan prediksi kualitas tidur lansia dengan mengintegrasikan faktor kesehatan dan lingkungan menggunakan pendekatan machine learning, data set yang digunakan adalah data set baru yang ada di website kaggle.com yaitu data National Poll on Healthy Aging (NPHA) yang berisikan wawasan tentang isu kesehatan, perawatan kesehatan, dan kebijakan kesehatan yang memengaruhi orang Amerika berusia 50 tahun ke atas. Metode maching learning, yaitu deep learning dengan algoritma Random Forest digunakan pada penelitian ini dan menunjukkan hasil yang baik dengan nilai akurasi 94,00% dan 44,44% akurasi yang didapatkan dengan menggunakan data latih.
Co-Authors Agus Subekti Alda Zevana Putri Widodo Aldawiyah, Atiyah Alengka, Son Gohan Alfian Armawan Sandi, Tommi Amin Nur Rais Bayhaqy, Achmad Chandra Kesuma Denis Chandra Prabowo Destriana, Rachmat Dirgahayu Erri Dwi Krisnandi Dwiza Riana Eni Heni Hermaliani Eni Heni Hermaliani, Eni Heni Esron Rikardo Nainggolan Esron Rikardo Nainggolan Evita Fitri Fachrurozi, Ahmad Fajar Shidiq Fariq Mulia, Akbar Fatiha, Zulfati Dinul Febri Ainun Jariyah Fikri Ismaya Findi Ayu Sariasih Firmansyah Firmansyah Fitra Septia Nugraha Fitri, Evita Frieyadie Gata, Windu Hadianto, Nur Hafifah Bella Novitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hani Harafani Hengki Rusdianto I Gusti Bagus Arya Pradnja Paramitha Inggit Dessy Susanti Khamdun Khamdun Khuluq, Anjahul Krisnandi, Dwi Laela Kurniawati lazuardi, sandy ibrahim Leksono, Ilham Nur Luthfi Indriyani M. Iqbal Alifudin Mahdi Abdullah Mahmud Mahmud Marwan Marwan Miharja, Jaja Mufid Junaedi Mugi Raharjo Mugi Raharjo Mugi Raharjo Muhamad Hasan Musriatun Napiah Mustofa Mustofa Mustofa Mustofa Negoro, Alexander Rio Adi Nila Hardi Novitasari, Hafifah Bella Nurul Arifin Oky Kurniawan Prasetyo, Rizal Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Ridwan ridwan Ridwan, Ridwan Rino Indra Muhammad Rino Indra Muhammad1 Setyorini, Tyas Sidik Sidik Sidik Sri Rahayu Sujiliani Heristian Susafa'ati Susafa'ati Susafa’ati, Susafa’ati Suwanda Aditya Saputra Syarah Seimahuira Tika Adilah M Tommi Alfian Armawan Sandi Tyas Setiyorini Ummu Radhiyah Ummu Radiyah Virda Mega Ayu Waeisul Bismi Wahyutama Fitri Hidayat Warjiyono Warjiyono, Warjiyono Watmah, Sri Windu Gata Windu Gata Windu Gata Windu Gata WITRIANA ENDAH PANGESTI Yeni Angraini Zulfati Dinul Fatiha