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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Intelligent Decision Support System (IDSS) Jurnal Minfo Polgan (JMP) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Journal Of Indonesian Social Society Jurnal ICT : Information and Communication Technologies Journal of Technology and Computer (JOTECHCOM) JIPITI: Jurnal Pengabdian kepada Masyarakat
Dhany, Hanna Willa
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Memprediksi Tingkat Mental Yang Magang Di PT. Labani Media Nusantara Menggunakan Metode SAW Muazarah, Dwi; Fasha, Elzan Ghifari; Barimbing, Andrius Saputra; Dhany, Hanna Willa
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14400

Abstract

Untuk membantu memudahkan memprediksi dalam mengecek seberapa persen mental seseorang yang magang di PT. Labani Media Nusantara, untuk itu kami memerlukan suatu system pendukung keputusan yang dapat digunakan untuk membantu memprediksi, mengelompokkan kriteria - kriteria yang dibutuhkan dan akan kami prediksi menggunakan metode simple additive weighting (SAW). Metode SAW adalah suatu model pengambilan keputusan yang komprehensif dan terstruktur. Metode ini meliputi proses penilaian kriteria yang di mulai dari pembobotan kriteria untuk mengetahui bobot kepentingan masing – masing indikator kemudian penjabaran tujuan strategis kedalam indicator kinerja. Dari pembobotan indikator tersebut dapat menghasilkan bobot alternatif yang ada.
Aplikasi Media Ujian Masuk Siswa Baru Di SMA Muhammadiyah 18 Sunggal Berbasis Web Iswandi, Reqha Naqhita; Dhany, Hanna Willa; Permana, Aminuddin Indra
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14530

Abstract

Proses penerimaan siswa baru menjadi semakin penting di era teknologi saat ini. Metode yang efektif diperlukan untuk melakukannya. Metode ujian masuk konvensional sering menghadapi berbagai masalah. Ini termasuk pemborosan waktu, kesalahan dalam pengelolaan data, dan keterbatasan akses bagi calon siswa yang berada di lokasi terpencil. Tujuan penelitian ini adalah untuk membuat dan menerapkan aplikasi media ujian masuk berbasis web di SMA Muhammadiyah 18 Sunggal. Aplikasi ini memiliki banyak fitur penting. Beberapa di antaranya adalah ,manajemen soal ujian, sistem penilaian otomatis, dan pemberitahuan hasil ujian secara real-time. Dengan membuat platform yang mudah digunakan dan digunakan oleh panitia penerimaan, pengelola sekolah, dan calon siswa, aplikasi ini dimaksudkan untuk mempercepat proses seleksi siswa baru. metodeAnalisis kebutuhan, perancangan, pengembangan, dan pengujian sistem adalah semua bagian dari metode waterfall yang digunakan untuk mengembangkan aplikasi ini. Tujuan aplikasi ini adalah untuk meningkatkan transparansi dan efektivitas proses penerimaan siswa baru dengan fitur seperti pendaftaran online, pengelolaan ujian, dan pengumuman hasil. Hasil penelitian menunjukkan bahwa aplikasi media ujian ini dapat membantu mengurangi waktu dan biaya yang diperlukan untuk melakukan ujian masuk. Selain itu, aplikasi ini memudahkan calon siswa untuk mengakses informasi terkait ujian. Oleh karena itu, diharapkan aplikasi ini dapat membantu SMA Muhammadiyah 18 Sunggal mengatasi masalah dalam penerimaan siswa baru.
Pengembangan Perangkat Lunak Penilaian Otomatis Ujian Pilihan Ganda Menggunakan Algoritma String Matching Dhany, Hanna Willa; Sapriadi, Sapriadi
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15452

Abstract

Perkembangan teknologi informasi telah memberikan dampak besar terhadap berbagai sektor, termasuk pendidikan. Salah satu tantangan utama dalam proses evaluasi pembelajaran adalah koreksi jawaban ujian pilihan ganda yang selama ini dilakukan secara manual, membutuhkan waktu lama, serta rentan terhadap kesalahan manusia. Penelitian ini bertujuan untuk mengembangkan perangkat lunak penilaian otomatis berbasis algoritma string matching guna meningkatkan efisiensi, akurasi, dan kecepatan proses koreksi ujian. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan evaluasi. Sistem yang dihasilkan mampu mengoreksi jawaban ujian 50 peserta dengan 40 soal hanya dalam waktu sekitar 2 menit, dibandingkan 45 menit pada metode manual, dengan akurasi penilaian mencapai 100%. Hasil uji kepuasan pengguna menunjukkan bahwa mayoritas guru dan siswa merasa terbantu dengan kecepatan dan kemudahan penggunaan sistem. Dengan demikian, perangkat lunak ini dapat menjadi solusi strategis dalam mendukung digitalisasi proses evaluasi pembelajaran dan meningkatkan efisiensi kerja pendidik.
Exploratory Data Analysis (EDA) methods for healthcare classification Dhany, Hanna Willa; Sutarman, Sutarman; Izhari, Fahmi
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.165

Abstract

The recovery and rehabilitation of individuals, helping them regain their physical and mental well-being. Healthcare offers comfort and relief for patients with serious or terminal illnesses, focusing on improving their quality of life and managing symptoms. It plays a role in educating individuals about health risks, disease prevention, and healthy lifestyles. Healthcare contributes to medical research and innovation, leading to advancements in treatments, medications, and medical technologies. Here are some common results and findings that can be obtained through EDA in healthcare data about EDA can reveal the age, gender, and other demographic information of patients. This information is essential for understanding the population served by a healthcare facility. EDA can help identify the prevalence of different diseases or conditions within a patient population. This can assist in resource allocation and healthcare planning. EDA can show how disease rates or healthcare utilization patterns change over time. For example, it can highlight seasonal variations in the incidence of certain diseases. EDA can be used to analyze healthcare data geospatially to identify regions with higher disease prevalence, helping in targeted interventions.
Optimizing Urban Traffic Management Through Advanced Machine Learning: A Comprehensive Study Izhari, Fahmi; Dhany, Hanna Willa
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.167

Abstract

Urban transport networks are vital components of modern societies, influencing efficiency and safety. This research explores the potential of traffic data as a crucial information source for forecasting and interpreting traffic problems. Using advanced data processing, statistical analysis, and classification algorithms, the study aims to identify and forecast traffic scenarios. With an interdisciplinary approach integrating computer science, statistics, and transportation engineering, the research emphasizes a holistic perspective on traffic concerns. The study involves outlier detection, label encoding, and cutting-edge technologies like GridSearchCV and ensemble modeling. Inspired by flash flood susceptibility research, machine learning models, particularly LightGBM and CatBoost, are applied to predict traffic situations. DecisionTreeClassifier and CatBoostClassifier emerge as top performers, achieving remarkable accuracies. The evaluation goes beyond accuracy, emphasizing the nuanced understanding of algorithm strengths and limitations for effective urban transportation network management
Pengaruh Studi Independent pada Kurikulum MBKM Terhadap Mahasiswa Komputer Dhany, Hanna Willa; Izzmi Aulia; Shiddiq Akbar Nugraha; Laila Hasanah; Lola Amalia
Journal Of Indonesian Social Society (JISS) Vol. 1 No. 3 (2023): JISS - Oktober
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jiss.v1i3.181

Abstract

Program MBKM This of course very beneficial for student in era modern and this program should be continued. Everything just goes with Good However still just there is things Which must fixed so that the future can be much better. The University establishes a relationship or cooperation with the organization who are outside the campus for the MBKM Independent Study Program because basically MBKM is a means that is realized so that students can develop self in outside environment campus. Besides expected cooperate more, so that students get rights freedom to choose What Which they Want to capable campus give the best. And what needs to be considered is that cooperation is established long before the student's schedule to carry out the MBKM Program If you pay attention again, it will help success in the program will come. The author hopes the parties Panca Budi Development University Medan can provide a better system for program implementation MBKM related to additional information that is clearer, valid and orderly students can carry out activities more efficiently and guide writer in a manner Good so that create results Work Which more quality expected web profile Which made can beneficial can be used by continuing to periodically update the information And made the more interesting. Hopefully the Program Studies Knowledge Philosophy Unpab can take advantage of the Web Profile of this Study Program well, as a medium information to assist candidate of student Which want to look for information about the world of lectures and make it easier for them to find information Where just and anytime only via the internet.
Co-Authors Aminuddin Indra Permana Aritonang, Dhimas Ansyahri ARMANDA, MUHAMMAD RIZKY Astria, Retno Badawi, Afif Barimbing, Andrius Saputra Batubara, Supina Fachrey, Joe Fasha, Elzan Ghifari Ginting, Andhika Pratama Gulo, Juan Anugerah Sarototona Hafandi, Achmad Arifqi Hendry . Ika Devi Perwitasari Iswandi, Reqha Naqhita Izhari, Fahmi Izzmi Aulia Laila Hasanah Lola Amalia Mhd Rifqi Aditya Muazarah, Dwi Muhammad Haikal Muhammad Hasanuddin, Muhammad Muhammad Irsyad Nasution, Nurul Tasya Syahdani Nugraha, M. Zein Farhan P, Enda Ribka Meganta panjaitan, melva sari Pratama, Daffa Akbar Pratama, Zahari Gilang Prayoga, Muhammad Reendy Ramadhani, Wardah Reza Ramadhan, Reza Ricky Ramadhan Harahap Samiaji, Rendi Nur Sapriadi, Sapriadi Saragih, Muhammad Davy Anggara Shiddiq Akbar Nugraha Sinaga, Santi Anggryani Siti Khodijah Sutarman Sutarman Syahrul R, Syahrul Tambunan, Toman Sony Wijaya, Rian Farta Yogi Saputra, Yogi Yusman, Yanti