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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Formosa Journal of Science and Technology (FJST) KOMMAS: Jurnal Pengabdian Kepada Masyarakat LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi APPA : Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity Global Science: Journal of Information Technology and Computer Science
Teti Desyani
Universitas Pamulang
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Transportation Other

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Optimalisasi Prediksi Kelulusan Mahasiswa Menggunakan Algoritma Decision Tree CART Abdillah, Afiani Agus; Cahyono, Yono; Desyani, Teti; Rosyani, Perani
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9099

Abstract

Timely student graduation is a key indicator of higher education quality and institutional effectiveness. This study aims to optimize student graduation prediction using a Decision Tree algorithm based on Classification and Regression Tree (CART) by integrating academic and non-academic variables. The dataset used in this study is the open-source Student Graduation Dataset obtained from Kaggle, consisting of 379 student records with graduation status as the target variable. The research stages include data preprocessing through mean imputation for missing values, categorical variable transformation, data splitting with an 80:20 ratio, and model optimization using CART hyperparameter tuning as a form of post-pruning. Model performance was evaluated using accuracy, precision, recall, F1-score, and a confusion matrix. The experimental results show that the optimized CART model achieved an accuracy of 92.1%, with F1-scores above 0.90 for both graduation classes and a balanced trade-off between precision and recall. Furthermore, the resulting decision tree structure is relatively simple and highly interpretable. These findings indicate that the optimized CART algorithm is effective and suitable for implementation as an early warning system to support academic decision-making in higher education institutions.
IMPLEMENTASI SISTEM PENUNJANG KEPUTUSAN UNTUK PEMILIHAN EKSTRAKURIKULER MENGGUNAKAN METODE SAW DAN TOPSIS ardiansyah, syahrul; Desyani, Teti
JATISI Vol 12 No 4 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i4.13500

Abstract

Abstract SMK AL-AMANAH is a private vocational high school officially established in the academic year 1996/1997 under the Al Amanah Al Bantani Islamic Boarding School and Education Foundation. Currently, the extracurricular selection process at SMK AL-AMANAH is still carried out manually and does not yet utilize a system that considers students' interests and potential comprehensively. As a result, some students choose extracurricular activities based on peer influence or without considering their personal abilities, which may reduce participation and effectiveness of the activities. This research aims to develop a web-based decision support system to assist students in selecting the most suitable extracurricular activities according to their interests and potential. The system is designed based on criteria determined by the school, such as interest, talent, time availability, and academic performance. The methods used for decision-making are Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), both of which are capable of solving multi-criteria decision-making problems objectively. A case study was conducted at SMK AL-AMANAH with system testing using simulated student data. The results of this study indicate that the system can effectively provide extracurricular recommendations and support students in making informed decisions. The system is developed using web programming languages and MySQL as the database. Keywords—Decision Support System, SAW, TOPSIS, Extracurricular, Interest and Potential
Rancang Bangun Website OSIS Sebagai Sarana Informasi dan Promosi SMK Bina Insani Cisauk Amelia, Tasya; Putrawan, Alif; Baranduda, Keneth Langit; Nurdavicky, Arfian; Harmianto, Dhiya Shufiyyani; Shalahudin, Muhammad Hafizh; Satriaji, Arya Rihad; Alifiansyah, Roby; Desyani, Teti
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 4 (2025): APPA : Jurnal Pengabdian kepada Masyarakat (INPRESS)
Publisher : Shofanah Media Berkah

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Abstract

Perkembangan teknologi informasi yang kian pesat memaksa institusi pendidikan, termasuk sekolah untuk beradaptasi dalam penyebaran informasi dan promosi melalui media digital. Hasil observasi di SMK Bina Insani Cisauk menunjukkan bahwa OSIS kurang memiliki alat efektif untuk menyampaikan berita, mencatat acara, dan memperkenalkan sekolah kepada khalayak luas, sehingga transparansi dan jangkauan publikasi terbatas. Kegiatan pengabdian kepada masyarakat (PKM) ini dilaksanakan untuk merancang serta membangun website OSIS sambil memberikan edukasi tentang pentingnya pemanfaatan situs web sebagai kanal informasi dan promosi sekolah. Hasil kegiatan menunjukkan website berhasil diwujudkan dengan fitur seperti halaman berita, galeri kegiatan, ekstrakurikuler yang mana mendapat respons positif dari siswa dan guru sehingga dapat digunakan untuk mempublikasikan kegiatan sekolah, meningkatkan transparansi, dan memperluas jangkauan promosi, serta siswa juga dapat meningkatkan pemahaman teknologi informasi.
Analisa Quality Of Service (QOS) Pada Jaringan Multi Protocol Label Switching (MPLS) Menggunakan Metode Intserv Fikri Rahardian; Teti Desyani; Shandi Noris
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

Perkembangan teknologi komunikasi yang semakin pesat menuntut penyedia layanan internet (Internet Service Provider/ISP) untuk menyediakan jaringan yang andal dengan kualitas layanan (Quality of Service/QoS) yang terjamin. PT Trans Hybrid Communication saat ini menerapkan protokol routing Open Shortest Path First (OSPF) dengan model layanan best-effort, yang memiliki keterbatasan dalam mengoptimalkan pemanfaatan bandwidth serta menjamin kestabilan QoS. Penelitian ini bertujuan untuk menganalisis kinerja jaringan Multi-Protocol Label Switching (MPLS) menggunakan metode Integrated Service (IntServ) melalui simulasi jaringan. Metode penelitian yang digunakan meliputi studi literatur, wawancara, serta simulasi jaringan menggunakan GNS3. Evaluasi kinerja jaringan dilakukan berdasarkan parameter QoS, yaitu bandwidth, packet loss, dan jitter. Hasil simulasi menunjukkan bahwa penerapan MPLS dengan metode IntServ mampu meningkatkan efisiensi bandwidth serta menghasilkan kualitas layanan yang lebih stabil dibandingkan dengan metode best-effort. Secara keseluruhan, kinerja jaringan yang dihasilkan berada pada kategori sangat baik. Hasil penelitian ini menunjukkan bahwa MPLS dengan IntServ dapat menjadi solusi yang efektif untuk meningkatkan performa jaringan pada lingkungan ISP.  
Machine Learning-Based Spatiotemporal Modeling for Detecting Disease Hotspots in Primary Care Data Rachmatika, Rinna; Desyani, Teti; Khoirudin
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.188

Abstract

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.
Co-Authors A A Gede Rai Rassi Abdillah, Afiani Agus Abdul Jalil Abdul jalil Achmad Fahmi Respati Achmad Fauzi Achmad Fauzi Achmad Yani Adam, Bani Adella Rosalina Ahmad Arifin Ahmad Darmawan Ahmad Fajri Shiam Ahmad Fikri Zulfikar Ahmad Irkham Ainun, Vivi Aji Saputra Aji Saputra, Aji Akbar, Faris Akmal, Anang Mas Alif Yoga Prasetya Alifiansyah, Roby Alwi, Zulfikar Amelia, Tasya Amirulloh, Yuslifar Khalif Amsyah, Antomy Ananda, Frisca Tri Ananda, Yesica Anang Mas Akmal Andi Lisdiarto Antomy Amsyah Aprizal Suryaman Ardiansyah, M. Virzy ARDIANSYAH, SYAHRUL Arfira Trisna Devi Aries Saifudin Arif Fiansyah Arinda Chintya Sari Atep Taufik Rianto Baehaqi, Reza Anwar Sidiq Baranduda, Keneth Langit Biqirrosyad Biqirrosyad Biqirrosyad, Biqirrosyad Bryan Farriq Reinaldy Cahyono, Yono Cut Fera Inong Safitri Dedy Priyatna Delfi Yuliana Tanu Deny Setiawan Deny Setiawan Devi, Arfira Trisna Dhimas Marwahyu Dhimas Maulana Hadi Didik Syamsianto Dwiardi, Stanislaus Dimas Dwicky Oktavian Widodo Egi Kurnianto Eko Suroso Endar Nirmala Ersa Putri Muharom Fachmi Fahrezi Fahmi Ahmad Fauzi Fajar Agung Nugroho Faris Akbar Fauzi, Fahmi Ahmad Fauziah, Siti Nur Indah Febriansyah, Muhammad Fiansyah, Arif Fikri Fahresi, Daffa Fikri Rahardian Firli Nurdiansyah Fitri Anis Isroriyah Fitriyani Fitriyani Fitriyani Fitriyani Fransisco Fransisco Fransisco, Fransisco Galih Maulana Ismail Gilang Aditya Gozali Yusuf Hadi Gulo, Yarni Gunawan Eka Putra Gymnastiar, Ahmad Raihan Hadi Iswanto Haetami, Muhamad Azi Hairul Ridwan Hanaan Ridho Altamerano hani sephani Harmianto, Dhiya Shufiyyani Haryanto, Galih Haryono, Wasis Haura, Al HENDRI ARDIANSYAH Herdiansyah, Aditya Tri Hibban, Muhammad Ibnu Hilaludin Hilaludin Husaini, Vandy Sadam Imam Wahyu Julianto Indira Novi Yulianti Irkham, Ahmad Irpan Kusyadi Irvansah Satria Pamungkas Ismail, Galih Maulana Jenau, Efrida Jibril, Muhamad Joko Susanto JOKO SUSANTO Juanda, La Judin, Sirat Julianto, Muhammad Rizky Jumadi Jumadi Jumadi Jumadi Junaidi, Muhamad Mardian Junianto, Mochamad Bagoes Satria Kamaludin Kamaludin Kamaludin Kamaludin Khoirudin Kobun, Elisabet Ukung Koswara, Robby Kurnianto, Egi Kurniasari, Sischa Kurniawan, Roby Chairul Anam Kusumawati, Syahvira Luthtiansyah Luthtiansyah Luthtiansyah, Luthtiansyah M. Virzy Ardiansyah Maeylani, Winni Maha Pramudia Maharizal Ilham Farabi Mahmud Arjiansyah, Abiem Marjuki Marjuki Maulana, Nanda Risky Mayudin, Muhammad Meidiaz Satria, Rafly Misbah Syah Anwar Kesuma Jaya Mochamad Hasbani mohadib mohadib Muhamad Azi Haetami Muhamad Diky Oktafian Muhamad Jibril Muhamad Mardian Junaidi Muhammad Afif Muhammad Andinun Muhammad Ibnu Hibban Muhammad Mayudin Muhammad Rizky Julianto Munawaroh Munawaroh Munawaroh Munawaroh Nanda Risky Maulana Nardiono Nardiono Niki Ratama Nisa, Aenun Noris, Shandi Novrizal Egi Sofian Nur Afifah Nur Hidayah Nur Umaya, Sabrina Nurdavicky, Arfian Nurul Asia Saputra Octavia, Indriyani Oktafian, Muhamad Diky Pandu Gumilang Perani Rosyani Pramudia, Maha Pratama, Arnold Agusti Priaji, Sugeng Priyatna, Dedy Putra, Bagas Mahendra Putra, Gunawan Eka Putrawan, Alif Rachmatika, Rinna Raden Wirawan Kukuh Pambudi Rahardian, Fikri Ramdani, Dandi Ramdhani, M. Aryo Redo Ramadhan Chaniago Retno Wulandari Reyhan Said Rianto, Atep Taufik Riyan Wahyu Pratama Rizal Nurhadi Gunawan Rizki Ubaidillah Rizky Subagja Roby Chairul Anam Kurniawan Rosyidah Astari Nur Ryan Putra Ramadhan S Sumarlin Safitri, Cut Fera Inong Said, Reyhan Santoso, Yoni Saputra, Ade Sony Saputra, Herdiansyah Saputra, Nurul Asia Saputra, Ripki Adi Sari, Arinda Chintya Sartika Lina Mulani Satriaji, Arya Rihad Shalahudin, Muhammad Hafizh Shiam, Ahmad Fajri Sholahuddin Sischa Kurniasari Siti Nur Indah Fauziah Sofian, Novrizal Egi Solihin Solihin Sri Mulyati Sri Mulyati Subagja, Rizky Sudrajat, Yuliyandri Sugeng Gunantio Sunardi, Rizki Utama Supriyanto Supriyanto Supriyanto Supriyanto Suryaman, Aprizal Syahrul Al-Rasyid Syahvira Kusumawati syamsiana, Andika Syamsianto, Didik Taufik Surya Hermanto Tresna Wati Viaresty Maharani Vyka Septiani Widodo, Dwicky Oktavian Yani, Achmad Yarni Gulo Yesica Ananda Yohanes Philipus Andersen Yoni Santoso Yudha Eka Saputra Yudi Prasetyo Yulianti Yulianti Yulianti Yulianti Yulianti Yuliyandri Sudrajat Zaisul Muttabi Zulfikar Alwi