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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Ilmiah Informatika Komputer Prosiding SNATIF Jurnal Informatika dan Teknik Elektro Terapan Sistem : Jurnal Ilmu-Ilmu Teknik INTEGER: Journal of Information Technology JIKO (Jurnal Informatika dan Komputer) JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JURNAL ILMIAH INFORMATIKA Jurnal Infomedia JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Riset Informatika Jurnal Teknologi Terpadu JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Informatika dan Rekayasa Elektronik bit-Tech JE-Unisla ILKOMNIKA: Journal of Computer Science and Applied Informatics Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Ilmiah Teknologi Informasi dan Robotika Journal of Information System and Technology (JOINT) Jurnal Teknologi dan Manajemen TIERS Information Technology Journal Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Decode: Jurnal Pendidikan Teknologi Informasi International Journal Of Computer, Network Security and Information System (IJCONSIST) ALINIER: Journal of Artificial Intelligence & Applications Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) SinarFe7 Jurnal Informatika Software dan Network (JISN) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Journal of Informatics and Electronics Engineering J-Icon : Jurnal Komputer dan Informatika TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Informatika Polinema (JIP) VISA: Journal of Vision and Ideas Journal of Innovative and Creativity Journal of Software Engineering and Multimedia (JASMED) Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Himpunan: Jurnal Ilmiah Mahasiswa Pendidikan Matematika Brilliant International Journal of Management and Tourism
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Comparison of C4.5 Decision Tree and Naive Bayes Algorithms for Classification of Nutritional Status in Stunting Toddlers Ishak Febrianto; Anggraini Puspita Sari
IJCONSIST JOURNALS Vol 5 No 1 (2023): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i1.122

Abstract

Stunting is a condition where growth and development of children under 5 years of age is impaired due to chronic malnutrition. Data mining with classification techniques on the nutritional status of stunting toddlers can be performed to help identify toddlers experiencing stunting and provide objective measurements of their nutritional status. There are several classification methods, but this research will compare the performance of the C4.5 decision tree algorithm, which is included in the decision tree approach, and naive Bayes, which uses a probability-based approach of class occurrence in classifying nutritional status of stunting toddlers, with discretization performed in the preprocessing stage. The data used in this research was obtained from Jagir Health Center, Surabaya, in the form of secondary data on toddler nutrition in 2021, totaling 2,801 records. The labeling of stunting or normal in the dataset uses the reference of child anthropometric standards in Indonesia as stated in the Republic of Indonesia Minister of Health Regulation number 2 of 2020. The best method based on the AUC (Area Under the Curve) value was the C4.5 decision tree with a value of 86% (good classification), while naive Bayes achieved 77% (fair classification) using a 70:30 training and testing data ratio.
Design and Development of a Web-Based Application for Managing Incoming and Outgoing Letters Using Agile Methodology Masyhuri, Alif Syahda Adji; Rahmat, Basuki; Sari, Anggraini Puspita
ILKOMNIKA Vol 7 No 2 (2025): Volume 7, Number 2, August 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i2.739

Abstract

The management of incoming and outgoing correspondence in government institutions such as the Palesanggar Village Office is still carried out manually, leading to various problems such as delayed recording, difficulty in retrieving archived letters, and potential data loss. This study aims to develop a web-based Incoming and Outgoing Mail Information System to improve administrative efficiency and facilitate the archiving and reporting processes. Data were collected through direct observation, interviews with village officials, and literature review. The system development method used in this research is the Agile model, which consists of requirement analysis, system design, implementation, and testing phases. The result of this study is a web-based information system capable of recording, storing, and displaying data on incoming and outgoing letters in a structured manner and accessible to village staff. System testing shows that the application functions properly and is well received by users. The conclusion of this research is that the developed information system successfully addresses the issues of manual mail management and provides convenience and speed in archiving letter data at the Palesanggar Village Office.
Optimasi Hyperparameter Model GRU untuk Prediksi Harga Saham ANTM Subairi, Subairi; Sari, Anggraini Puspita; Mandyartha, Eka Prakarsa
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.817

Abstract

Prediksi harga saham berperan penting meminimalisir kerugian akibat fluktuasi harga saham. Penelitian ini bertujuan untuk meningkatkan akurasi prediksi harga saham PT Aneka Tambang Tbk (ANTM) menggunakan model Gated Recurrent Unit (GRU) dengan optimasi hyperparameter melalui metode Grid Search. Model GRU dipilih karena mampu mengatasi permasalahan vanishing gradient dan efektif dalam mempelajari pola ketergantungan jangka panjang pada data deret waktu walaupun dengan arsitektur yang sederhana. Sementara itu, Grid Search digunakan karena memiliki keunggulan dalam menjelajahi ruang hyperparameter secara menyeluruh, sehingga setiap kombinasi parameter dapat diuji dan memungkinkan diperolehnya konfigurasi terbaik. Proses Grid Search dilakukan dengan ruang pencarian hyperparameter yang mencakup jumlah units, jumlah epoch, ukuran batch, serta variasi optimizer. Keunggulan utama penelitian ini terletak pada penerapan optimasi hyperparameter yang mampu meningkatkan efektivitas model GRU dalam menemukan konfigurasi terbaik, sehingga menghasilkan prediksi harga saham yang lebih akurat dan stabil. Evaluasi kinerja model menggunakan metrik RMSE, MAE, MAPE. Hasil penelitian menunjukkan bahwa model GRU dengan optimasi Grid Search menggunakan optimizer Adam memberikan performa yang optimal dengan nilai evaluasi RMSE sebesar 67.8805, MAE sebesar 45.6501, dan MAPE sebesar 2.2309%. Temuan ini membuktikan bahwa optimasi hyperparameter melalui Grid Search mampu meningkatkan akurasi prediksi model GRU pada data harga saham.
Sistem Deteksi Gerakan Kecurangan UTBK Real-Time dengan YOLOv8 dan Optical Flow Ardiansyah, Muhammad Naufal; Suryahadi, Farrel Zikri; Pratama, Hendrico Edhent Surya; Sari, Anggraini Puspita
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 11 No. 1 (2026): January 2026
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.5365

Abstract

Integrity and honesty are fundamental aspects of education, including the implementation of the Computer-Based Written Examination (UTBK). Conventional exam supervision is considered less effective in monitoring participants’ behavior due to the limitations in human observation capabilities and consistency. This study develops a real-time cheating-detection system based on camera input by integrating the YOLOv8 algorithm with Farnebäck optical flow. The YOLOv8 algorithm identifies participants’ body poses and activities directly from video footage, while Optical Flow analyzes the direction and motion patterns between frames over time. The system is designed to recognize various suspicious poses such as head-turning, bowing, and cheating-related gestures that indicate potential dishonesty. All detection results are automatically recorded in an SQLite database, complete with timestamps and visual evidence. Experimental results show that the system achieves 94.3% accuracy in detecting suspicious movements. The combination of both methods also helps maintain detection stability when keypoints are not consistently captured in some frames. Additionally, the system is equipped with a graphical user interface (GUI) to facilitate easier monitoring and analysis. These results demonstrate that a pose-and-motion analysis-based approach offers an intelligent and efficient solution for enhancing digital supervision of UTBK examinations.
ANALISIS MANAJEMEN RISIKO KEAMANAN INFORMASI SISTEM LAYANAN UPA-PKK UPN “VETERAN” JAWA TIMUR MENGGUNAKAN METODE NIST SP800-30 Suryantari, Putu Anggi; Aryananda, Rangga Laksana; Alhamda, Denisa Septalian; Sari, Anggraini Puspita; Prasetya, Dwi Arman
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8779

Abstract

Keamanan informasi merupakan aspek penting dalam penerapan sistem layanan berbasis teknologi informasi di lingkungan perguruan tinggi. Sistem layanan UPA PKK UPN Veteran Jawa Timur berperan dalam mendukung kegiatan pengembangan karier dan kewirausahaan mahasiswa serta alumni sehingga memerlukan pengelolaan risiko keamanan informasi yang terstruktur. Penelitian ini bertujuan untuk menganalisis risiko keamanan informasi menggunakan metode NIST SP 800-30. Tahapan penelitian meliputi identifikasi ancaman, identifikasi kerentanan, analisis pengendalian, penilaian tingkat kemungkinan dan dampak, serta penentuan tingkat risiko. Hasil penelitian menunjukkan bahwa risiko keamanan informasi pada sistem layanan UPA PKK berada pada kategori rendah, sedang, hingga tinggi, dengan risiko dominan berada pada tingkat sedang hingga tinggi, terutama pada aspek keamanan akses sistem dan pengelolaan data. Rekomendasi pengendalian difokuskan pada penguatan mekanisme autentikasi, pembaruan sistem secara berkala, serta peningkatan prosedur keamanan. Metode NIST SP 800-30 terbukti memberikan pendekatan yang sistematis dalam pengelolaan risiko keamanan informasi pada sistem layanan UPA PKK.
Pemanfaatan Multi-Layer Perceptron (MLP) untuk Deteksi Kanker Firmansyah, Fahrul; Sari, Anggraini Puspita; Sugiarto, Sugiarto
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.13438

Abstract

Cancer is one of the deadliest diseases in the world. This is because patients often do not realize the presence of cancer in their bodies, leading to delayed treatment and the cancer becoming aggressive. Early diagnosis of cancer in women is necessary since the majority of cancer patients are women. One of the markers that can be used to diagnose cancer is the anti-Mullerian hormone, accompanied by other indicators such as lifestyle, BMI, and others. Early diagnosis can utilize the Multi-Layer Perceptron (MLP) algorithm, which is currently a rapidly developing technology. By using the MLP algorithm, an accuracy of 84% is achieved on the training data and test data, with a training-to-testing data ratio of 65:35.
Co-Authors Abd Rabi’ Achmad Junaidi Achmad Junaidi, Achmad Achmad Yusuf Yulestiono Adhi Dwi Saputra Adiguna Yudhanto Adila, Mar’atul Aditya, Wigananda Firdaus Putra Adiyatma, Hesel Faza Afandi, Rizki Baehtiar Afina Lina Nurlaili Agung Darmawansyah Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agussalim, Agussalim Agustiardani, Salsa Pramudhita Aji Paringga Jati Akbar, Fawwaz Ali Akbar, M.Azriel Yaqi Al-Ayyubi, Iqbal Alam, Fajar Indra Nur Aldito Restu Wintama Alfajr, Achmad Yuneda Alfi Hendri Alhamda, Denisa Septalian Alif Bayu Ammarizky Alif Ernanda Putra Amrullah, Ahmad Wildan Ana, Vika Rafi Andre Leto Andreas Nugroho Sihananto Andreas Nugroho Sihananto Anindhyta, Erisa Dwi Xena Aninidta, Sophia ANUGRAH PRASETYA, RAJAWALI SHAKTIKA Aqil Salim, Mas Muhammad Ar Rafi, Mohammad Hafiz Ardelia, Danika Najwa Ardiansyah, Muhammad Dafa Ardiansyah, Muhammad Naufal Arhinza, Rayhan Saneval Ariando, Aldo Pradana Aries Boedi Setiawan Arif Nur Cahyo Arif Rahman Hakim Arif Widiasan Subagio Arifani, Kahpi Baiquni Arifin, Hilda Desfianty Arini, Andhini Putri Ariningtyas, Imelda Dwi Arryanto, Bahiskara Ananda Arsanti, Yogi Dwi Arthansa, Radendha Muhammad Aryananda, Rangga Laksana Awang Mohammad Ziadhasya Rizqaarrafi AZMI, ANDRA HUSNUL Azzahra Adelia Sabrina Salsabila Azzahra Asti Khairunnisa Bagus Satrio Wicaksono Basuki Rahmat Masdi Siduppa Bayu Setiawan Belva Cynara Trana Putri, Prudencia Bhaswara, Maulana Muzakki Bimantoro, Ryan Bagus Binti Hasim, Norhaslinda Budiman, Daniel cahyono, wahyu eko Cinta Ramayanti Citra Firdausi, Putri Aulia Damai Arbaus, Damai Damayanti, Natasya Meryl Daniswara, Sena Dea Rajwa Zahra Athaya Dela Puspita Lasminingrum Dewi, Shanty Kurnia Dian Maharani, Dian Dimas Satria Prayoga Dody Pintarko Dwi Arman Prasetya Dwi Arman Prasetya Dwi Arman Prasetya Eka Maurita Eka Prakarsa Mandyartha Ekawati, Anies Eko Kuncoro Eko Kuncoro EKO WAHYUDI Eko Wahyudi Elizabeth, Caritta Endyarni, Regina Caeli Eva Salsabilla Fahlefi, Muhammad Reza Fajrina, Nur Septia Farhans, Muhammad Izzudin Fatchur Rozci Fauzan, Daffa Athallah Firdaus Putra Aditya, Wigananda Firmansyah, Fahrul Firmantara, Wahyu Firza Prima Aditiawan Firzannabeel Aqila Rafid Gatot Yulisianto Gatut Yulisusianto Hendri, Alfi Hilya ‘Zada Mardhatilla Al Haadiy Hiroshi Suzuki Icham, Maulana Izuddin Audadi idhom, Mohammad Intan Putri Mansyur Pratama Iqbal Bagus Satriawan Irsyadi, Muhamad Haidir Irsyadi, Muhammad Haidir Irsyadi, Muhammad Rohman Irwansyah, Ferry Ishak Febrianto Ismail, Jefri Abdurrozak Jaka Subagja Jamaludin . Jeki Saputra Jibran, Kemal Fahreza Joko Lasmono Julastri, Bregsi Atingsari Kartini Kartini Kartini Kartini KEZIA, KEZIA Khairul Anwar Khairunnisa Khairunnisa Khofifah, Nada Firda krisna krisnawati wati Krisnawati Kuncoro, Eko Ledjap, Adventus Michael Bala Letkol Arh Desyderius Minggu Lina Nurlaili, Afina Lisanthoni, Angela Listanto, Evan Adwitiya Dwi M Julius St M. Rafi Ardiansyah Made Hanindia Prami Swari Maharani, Ardiana Deka MAHARDIKA, NAUFAL INDRA Mahendra, Zenryo Yudi Arnava Darva Makarim, Irsyad Fadhil Maliq Reynanda , Revano Marsanda, Dea Ayu Eka Masyhuri, Alif Syahda Adji Maulana, Hendra Maulana, M. Zaky Pria Maurisa Arimbi Putri Mawadah, Divia Astrina Mayya, Kalfin Syah Kilau Millati, Fina Amru Millati Minggu, Desi Derius Minggu, Desi Derius Moh Avin Dharma Wijaya MOH MARIO SUBAGIO Moh. Misbahul Musthofah Mohammad Idhom Mohammad Quthbul Widad Mohammad, Bawazir Fadhil Muhammad Hilmy Aziz Muhammad Lizamul Arsi Muhammad Muharrom Al Haromainy Mulyani Satya Bhakti Mulyo, Budi Mukhamad Nachrowie, Nachrowie Nadia, Prasinta Hari Nadirco, Daniel Gloryo Nafis Pratama Putra Nandana Wahyu Rizqullah Nicholas, Sandy Ninis Herawati Nisa, Deswita Choirun Noor Imansyah Basoeki, Dandy Nugraini Dewi Puspitasari Nur Rachman Nur Rachman Supadmana Muda Nur'afifah, Anya Ningrum Nurdiansyah, Titis Fajar Nurdianto, Muhammad Akbar Oktavia Nur Khasanah OKTAVIAN, JAGUAR DEVA NANGGALASAKTI OKTAVIAN Panggih Santri Paramita, Maheswari Dian Pintarko, Dody Prakoso, Akbar Tri Pramudyo, Leon Ddewandaru Prapatoni, Velian Prasetyo, Edi Dwi Pratama Putra, Moch Aditya Pratama, Hendrico Edhent Surya Pratama, Moch Nasikh Andhyka Prismahardi Aji Riyantoko Putra Dwi Wira Gardha Yuniahans Putra, Chrystia Aji Putri Salsabila, Belia Putricia Hendra, Ria Amelia Shinta Rahman, Fatan Izzatur Rahman, Muhammad Fadhillah Rahmawati, Deisya Dzakiyyah Rahmawati. S, Abel Dwi Ramadhani, Aimee Natya Ramadhani, Neo Rendra Ardika Resti Indah Paramita Sari Revano Maliq Reynanda Riandi Zahra, Muhammad Alvin Ridho Fajar Fahturohman Riky Hermawan Ririn Wanandi Rochmawati, Febriyan Putri Rofiah, Muflichatur Romadhoni, Firman Rozi, Atiqur Ryan Purnomo Sagita, Dhea Intan SALMAN ALFARIZI Samdono, Arif Sampurno Utomo, Moch Wahyu Sanjaya, I Wayan Indra Sakti Sanjaya Santoso, Aries Satriya Yudha Saskia Rafika, Chesa Satrio Dharma Putra Satwika, I Kadek Susila Septyana, Dwitamara Setiawan, Aries Buedi Siharta, Niken Febrinikmah Silitonga, Paulenta Silvania Siti Sri Wahyuni Subairi Subairi SUGENG HARIANTO Sugeng Harianto Sugiarto S Suherman Suherman Suryahadi, Farrel Zikri Suryangga, Nova Suryantari, Putu Anggi Suryoningsih, Olivia Dewi Ramadhani Syahbana, Ahmad Nadhif Fikri Syahrul Amin, Akhmad Syamjovanka, Revelin Putri Takahiro Kitajima Takashi Yasuno Tanjung, Mutiq Anisa Tatipang, Angeline Riendra Torrilynn Farrell Zuriely Tresna Maulana Fahrudin Tyas, Sischa Wahyuning Ulummuddin, Ikhya Wardana, Nabila Sya’bani Wicaksono, Faris Hakim Widoretno, Astrini Aning Widya Indah Sujatmoko, Amanda Wisnu Murti, Hapsoro Yisti Vita Via Yossie Triwinanda, Rizqullah Sandya Yunizar, Sri Fatmawati Zahran, Muhammad Sulthan Zidan, Ahmad Ziddan, Muhtasar Zulkarnaen, Fahri Izzuddin