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All Journal APTEKINDO TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics ELINVO (Electronics, Informatics, and Vocational Education) Journal of Information Systems Engineering and Business Intelligence JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Technopreneur (JTech) Jambura Journal of Informatics Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) MURHUM : JURNAL PENDIDIKAN ANAK USIA DINI El-Mujtama: Jurnal Pengabdian Masyarakat Journal Automation Computer Information System (JACIS) Inverted Journal Of Human And Education (JAHE) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Pengabdian Papua Jurnal Vokasi Sains dan Teknologi Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Empiris Jurnal Pengabdian Pada Masyarakat (EJPPM) El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Pada Masyarakat Eldimas Scientific Journal of Informatics Informasi interaktif : jurnal informatika dan teknologi informasi Diffusion: Journal of Systems and Information Technology
Lanto Ningrayati Amali
Universitas Negeri Gorontalo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Artificial Intelligence-Based Leveling System for Determining Severity Level of Autism Spectrum Disorder Rasim, R; Munir, M; Wihardi, Yaya; Ningrayati Amali, Lanto
Scientific Journal of Informatics Vol. 12 No. 4: November 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i4.14440

Abstract

Purpose: The aim of this research is to analyze the use of an artificial intelligence (AI)-based leveling system to determine the severity of autism spectrum disorders (ASD). Methods: The research method is a systematic literature review. This study addresses three key questions: (i) What factors are used to determine ASD severity? (ii) What algorithms or AI models are used in classifying ASD severity? (iii) What are the results of this AI-based leveling system in terms of severity levels or categories? Results: The study results identified several key factors that influence ASD severity, including age, IQ, genetic and neurological factors, co-occurring mental health conditions, and sociodemographic variables. Various AI algorithms, including machine learning and deep learning techniques, are used to classify the severity of ASD. The results of this study highlight the effectiveness of AI in providing objective, consistent, and measurable assessments of ASD severity, although challenges such as data quality and ethical considerations remain. AI-based leveling systems show significant potential in improving assessment and intervention processes for ASD. Novelty: This research systematically synthesizes studies on AI-driven ASD severity assessment, providing insights into crucial variables for AI-based evaluation tools. By analyzing the factors influencing severity and the effectiveness of AI models, this study identifies promising approaches for classification. The findings offer valuable contributions to the development of AI-based tools in clinical and educational applications. Further research is necessary to improve AI reliability, address biases, and maximize its potential in ASD assessment and intervention.
Evaluasi Usability Sistem Informasi Akademik Universitas Negeri Gorontalo Menggunakan Metode System Usability Scale (SUS) Gubali, Jihan Fahira; Utina, Suci Rahmawaty; Alhabsy, Nazwa; Landung, Aji Muhamad; Amali, Lanto Ningrayati
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12377

Abstract

Pada kajian yang telah dilakukan ini dilatar belakangi oleh implementasi Sistem Informasi Akademik Universitas Negeri Gorontalo (SIAKAD UNG) yang masih menghadapi berbagai kendala usability, seperti tampilan yang kurang ramah pengguna, navigasi yang membingungkan, serta sejumlah fitur yang belum berfungsi optimal. Kondisi tersebut menimbulkan kesenjangan antara tujuan sistem sebagai pendukung layanan akademik yang efisien dan pengalaman nyata pengguna di lapangan. Penerapan metode SUS (System Usability Scale) dalam evaluasi peringkat kegunaan dilakukan untuk mengetahui tingkat usability suatu sistem sebagai dasar perbaikan antarmuka, fitur, dan alur penggunaan sistem. pada riset menerapkan metode riset yang bersifat kuantitatif deskriptif, dimana pemrolehan data berasal dari 100 mahasiswa aktif angkatan 2025 pada 10 fakultas di Universitas Negeri Gorontalo yang tentunya telah ditentukan berdasarkan kriteria yang cocok dengan penelitian ini. Proses pemungutan data diperoleh dari pengujian alur tugas yang telah ditentukan dan pengisian angket SUS 10 item skala Likert 1–5. Hasil pengukuran menunjukkan skor SUS rata-rata sebesar 61,05 yang menempatkan SIAKAD UNG pada grade “D” dengan kategori adjective “OK”, tingkat penerimaan (acceptability) marginal, dan berada pada kelas detractor dalam perspektif Net Promoter Score.
Transformasi Digital Layanan Administrasi Kesehatan Desa Bakti melalui Implementasi Sistem Urusan Kesehatan Masyarakat (SUKMA) Padiku, Indhitya R; Amali, Lanto Ningrayati; Bau, Rahmat Taufik R.L; Muthia; Katili, Muhammad Rifai; Hadjaratie, Lillyan; Mas'ud, Huzaima; Zakaria, Alfian; Mulyanto, Arip; A, Hermila; Suhada, Sitti
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

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Abstract

Posyandu di Desa Bakti masih menggunakan sistem pencatatan manual yang tidak efisien dan rentan kehilangan data, menghambat efektivitas pelayanan kesehatan masyarakat. Digitalisasi menjadi kebutuhan mendesak untuk meningkatkan akurasi dan transparansi data kesehatan di tingkat desa. Kegiatan ini bertujuan meningkatkan kualitas pelayanan Posyandu melalui transformasi sistem pencatatan manual menjadi sistem digital terintegrasi yang mudah digunakan oleh kader dan perangkat desa. Pendekatan participatory action research diterapkan melalui empat tahapan: identifikasi kebutuhan sistem, pelatihan dan pendampingan kader, implementasi sistem SUKMA berbasis Google Forms dan Sheets, serta evaluasi efektivitas sistem. Sistem SUKMA berhasil meningkatkan efisiensi pencatatan hingga 60%, mengurangi risiko kehilangan data, serta meningkatkan literasi digital kader Posyandu. Transformasi digital ini berhasil menjawab kebutuhan nyata lapangan dan berpotensi direplikasi di Posyandu lain sebagai model pengelolaan kesehatan masyarakat berbasis data yang berkelanjutan.
ANALISIS PENGGUNAAN APLIKASI LINKEDIN DALAM MEMBANGUN PERSONAL BRANDING PADA MAHASISWA UNIVERSITAS NEGERI GORONTALO MENGGUNAKAN MODEL UTAUT Lantu, Zulvikry Andre; Kusuma, Ma'rifatul Sasmitha; Ts. Bullah, Ilham; Amali, Lanto Ningrayati
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 1 (2026): Bahasa Indonesia
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

Personal branding is an important element for students in shaping their professional image and preparing themselves for the world of work. As a professional social networking platform, LinkedIn offers various features that can support the formation of a professional identity, but its utilization by students is still not optimal. This study aims to examine the strength of the relationship between variables in the UTAUT model and the behavior of using LinkedIn as a means of personal branding among students at Gorontalo State University. Using a quantitative descriptive approach, data was collected through a questionnaire (gfrom) distributed to 80 students who actively use LinkedIn. The analysis was conducted using the PLS-SEM tool with the SmartPLS version 4 application. The results show that Social Influence and Performance Expectancy have an influence on Behavioral Intention with a t-statistic > 1.990 and a p-value < 0.05, while Effort Expectancy does not show a significant influence because the results do not meet the criteria. In addition, Facilitating Condition and Behavioral Intention also had an effect on Use Behavior. UTAUT in this study was able to explain 59.3% of the variance in Behavioral Intention and 58.4% of the variance in Use Behavior. These findings indicate that perceived benefits and environmental support have a stronger influence than ease of use in encouraging students to use LinkedIn.
Co-Authors Abdul Aziz Bouty Agus Lahinta Ahmad Azhar Kadim Alfian Zakaria Alhabsy, Nazwa Antula, Nur Savira Anwar, Ridha Alvariza Arip Mulyanto Awaludin Madjidu Dadi, Heru Hartato Dai, Roviana H. Diko, Yulianti Dwinanto, Arif Edi Setiawan Erni Mohamad Femy Mahmud Sahami Fikran Mahmud Gani, Hilmansyah Gede Sandika, I Wayan Gede Sandika Gelo, Siti Zalyah Gubali, Jihan Fahira Halid, Rahayu Hamdata, Ayub Hamlina, Robin Y. Hanifah Mardlatillah Harto Malik Hasan S. Panigoro hasdiana, hasdiana Hermila A Hunta, Aprilia M I Made Hermanto I Wayan Gede Sandika I Wayan Gede Sandika I Wayan Sudana Imam B. Buke Indhitya R Padiku Ishak Isa Jawa, Agnes Wuda Jemmy A Pakaya Karim Bahu Kilo, Juriah R. Kinanti, Titin Seh Kusuma, Ma'rifatul Sasmitha Lahay, Sri Nilawati Lahay, Sri Nilawaty Lailany Yahya Lamatenggo, Nina Landung, Aji Muhamad Lanto Miriatin Amali Lanto Mohamad Kamil Amali Lantu, Zulvikry Andre Lillyan Hadjaratie M Munir M. Mahmuddin Malapu, Nayla Yuniar mamonto, fara humaira Manda Rohandi Mardlatillah, Hanifah Maryam Rahim Mas'ud, Huzaima Masloman, Alwiansyah Mazida Ahmad Moh Ramdhan Arif Kaluku Moh. Fadel Dengo Moh. Zulkifli Katili Mohammad Rifai Sali mohammad syafri tuloli Mokodompit, Nuris Salikin Mongilong, Mohammad Farhan Muchlis Polin Muhammad Ilham Akbar Muhammad Rifai Katili Mukhlisulfatih Latief Musa, Viviwidyawati A MUTHIA Nambo, Ilun Nancy Katili Nikmasari Pakaya Nova Elysia Ntobuo Nurtianingrat Zees Pakaya, Nikmasari Pala, Nisya Fiscadilla Payu, Citron Rahman Takdir Rahmat Taufik R.L Bau Ramang H. Yusuf Rampi Yusuf Rasim, R Ratha, Doung Rian Sulistio Rifadli Bahsuan Rochmat Mohammad Thohir Yassin Rolinsa Madina, Novita Rustam I. Husain Salahudin Olii Sali, Mohammad Rifai Samatowa, Lukman Setiawan, Zahrul Siti Aisa Liputo Sitti Suhada Sri Ayu Ashari Sri Nila Lahay Sudirman, Randi Sugeha, Alif Perdana Suma, Mahmud Sunardi Sunardi Sunarty Suly Eraku Suwandi, Ihsanulfu'ad Tajuddin Abdillah Thohir Yassin, Rochmat Mohammad Tri Alfandra Labuga Ts. Bullah, Ilham Umar Sako, Umar Usup, Rima Melati Utina, Suci Rahmawaty Wandi Ismail Wibowo, Sela Febrianti Wihardi, Yaya Wiki Aji Putra Pena Wirahman Salsabil Husain Yahya, Abdurrafi Yogi Septiawan Nauko Yuszda K Salimi