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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Telematika : Jurnal Informatika dan Teknologi Informasi Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Imejing Diagnostik Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal Of Vocational Health Studies Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications Jurnal Sisfokom (Sistem Informasi dan Komputer) JURTEKSI Unnes Journal of Public Health Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika JARES (Journal of Academic Research and Sciences) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Information Systems and Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology International Journal Of Health And Social Behavior
Kusworo Adi
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Systematic Literature Review on Information Technology Governance in Government Wicaksono, Januar Agung; Widodo, Aris Puji; Adi, Kusworo
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.9642

Abstract

Purpose: This article aims to assist the government in developing better, more efficient, and sustainable public governance by utilizing information technology and artificial intelligence. The article provides insights on how information technology and artificial intelligence can be applied in public governance to improve the efficiency, effectiveness, and sustainability of public services, as well as to enhance public trust in the government.Design/Method/Approach: The method used in this article is a Systematic Literature Review (SLR), which is a systematic and methodological research method for collecting, evaluating, and synthesizing evidence from previous studies in the field under investigation, through search terms and searching for information in online databases and creating inclusion and exclusion criteria.Results: This article is expected to achieve more efficient, effective, and sustainable public governance and improve the quality of public services and public trust. The article also shows that information technology and artificial intelligence have become an integral part of public governance in various countries, with many countries taking a holistic and sustainable approach.Originality/State of the art: The state-of-the-art of this article is that information technology and artificial intelligence can be effectively used to improve public governance to achieve better, more efficient, and sustainable goals. The article also emphasizes the importance of considering data privacy, cyber security, and unwanted environmental impacts, as well as considering ethical and human rights aspects in the development of artificial intelligence. This will help the government to develop and implement information technology and artificial intelligence in public governance in a responsible and sustainable manner.
Enhanced U-Net models with encoder and augmentation for phytoplankton segmentation Ardhi, Ovide Decroly Wisnu; Soeprobowati, Tri Retnaningsih; Adi, Kusworo; Prakasa, Esa; Rachman, Arief
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp1009-1018

Abstract

This study comprehensively analyzes U-Net models for semantic segmentation in phytoplankton image recognition, leveraging encoders such as EfficientNet-B5, MobileNetV2, ResNet50, and ResNeXt50 and employing the Adam optimizer. The research highlights the U-Net MobileNetV2 model with optical distortion, which achieves notable test scores with 93.69% Dice, 88.14% intersection over union (IoU), 99.89% Precision, and 100% Recall, underscoring the efficacy of the applied augmentation strategies, including geometric and distortion transforms, and color and blur techniques. The U-Net ResNet50 model with mix transform consistently demonstrates high accuracy in critical metrics, outperforming others, while EfficientNet-B5 with blur suggests increased model sensitivity with improved recall. These results underscore the crucial role of encoder-augmentation synergy in model performance. Training and testing times across models have remained under 250 seconds, reflecting methodological efficiency. Overall, these results demonstrate the model's excellent performance for the semantic segmentation task.
Literature-Driven Contributions to the Development of LLM-Based Customer Insight Systems Nugroho, Irwan Andriyanto; Adi, Kusworo; Aryasa, Komang Budi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2534

Abstract

This research delineates the conceptual advancement of a sentiment analysis model employing Large Language Models (LLMs), augmented by a dynamic weighting system predicated on the strategic significance of product attributes. This research, based on a systematic review of seven recent studies predominantly utilizing conventional NLP methodologies discovers significant deficiencies, such as disjointed sentiment extraction and the absence of contextual, strategic weighting. Prior studies have established the efficacy of Natural Language Processing (NLP) techniques in evaluating customer satisfaction and online reviews; however, there has been a scarcity of initiatives that integrate sentiment analysis with product prioritization in decision-making processes. The suggested framework presents an innovative amalgamation of LLM-based sentiment analysis with a strategic weighting system that adapts in real-time according to business priorities, setting it apart from earlier customer analytics frameworks that consider sentiment and strategy in isolation. To conceptually validate this model, a thematic synthesis and comparative mapping approach were employed to assess the potential of the proposed components to enhance interpretability and alignment between customer feedback and product decisions. Initial conceptual analysis indicates that the framework may improve decision quality by integrating profound contextual sentiment insights with flexible business prioritization. The goal is to improve strategies for making products better, make sure that customer feedback is in line with strategic goals, and help businesses make decisions based on data in changing business environments.
Evaluasi Sistem Informasi Kesehatan dengan Model HOT-Fit : Literature Review: Evaluation of Health Information Systam with HOT-Fit Model : Literature Review Fila Delfia; Kusworo Adi; Cahya Tri Purnami
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 5 No. 6 (2022): June 2022
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.493 KB) | DOI: 10.56338/mppki.v5i6.2344

Abstract

Latar Belakang: Sistem informasi kesehatan bertujuan untuk mendukung informasi untuk pengambilan keputusan dalam setiap aspek manajemen. Ketika sistem diimplementasikan, evaluasi diperlukan untuk mengetahui sejauh mana sistem informasi bermanfaat. Evaluasi dan monitoring sistem yang tidak dilakukan secara berkala akan mengakibatkan keluaran yang dihasilkan tidak sesuai dengan kebutuhan dan tidak dapat mendukung pengambilan keputusan. Tujuan: Penelitian ini bertujuan guna mengetahui evaluasi sistem informasi kesehatan berdasarkan aspek manusia, organisasi, teknologi dan manfaat. Metode: Literature review bersumber dari 15 artikel penelitian yang diterbitkan pada tahun 2017-2021. Hasil: Penelitian membuktikan bahwa ada hubungan antara teknologi dengan manusia dan organisasi. Manusia ingin memanfaatkan teknologi ketika mereka memahami manfaat positif yang diperoleh dari penerapan sistem. Fungsi teknologi informasi adalah tersedianya informasi sesuai kebutuhan. Kesimpulan: evaluasi sistem informasi kesehatan sangat dibutuhkan guna peningkatan sistem tersebut sehingga dapat dimanfaatkan secara maksimal oleh pengguna dan pihak manajemen guna mengambil keputusan. Faktor-faktor yang berhubungan dengan evaluasi implementasi sistem informasi, yaitu: manusia (penguna sistem dan kepuasan pengguna), organisasi (struktur organisasi dan lingkungan organisasi), teknologi (kualitas sistem, kualitas informasi, dan kualitas layanan), dan manfaat.
Sistem Pengumpulan dan Pelaporan Penyakit Menular di Puskesmas : Literature Review: Communicable Diseases Collection and Reporting System in Puskesmas : Literature Review Puspita Sari, Kiki; Adi, Kusworo; Agushybana, Farid
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 6 No. 5 (2023): May 2023
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v6i5.3307

Abstract

Latar Belakang: Informasi mengenai penyakit menular merupakan sumber penting dalam pengumpulan data untuk sistem surveilans yang efektif. Tujuan: Artikel ini menyajikan tinjauan literatur tentang sistem informasi penyakit menular di Puskesmas. Metode: Penelusuran Google Scholar dan PubMed mengulas sistem pencatatan dan pelaporan di Puskesmas. Sebanyak enam studi yang dilakukan di Indonesia antara tahun 2012 dan 2022 dimasukkan dalam tinjauan ini. Hasil: Secara keseluruhan, 1423 judul diidentifikasi, dengan 6 studi yang memenuhi syarat. Dua studi membahas pengembangan sistem pelaporan, tiga studi menyelidiki evaluasi, dan satu studi mempresentasikan fitur identifikasi masalah melalui tinjauan literatur. Kurangnya sumber daya manusia dan komputer yang tidak memadai menghambat sistem. Kesimpulan: Implementasi system di Puskesmas terkendala karena sumber daya manusia dan rendahnya kesadaran akan pentingnya kecepatan pelaporan penyakit menular. Penting untuk melakukan pelatihan rutin dan berulang bagi staf untuk meningkatkan kompetensi dan dukungan anggaran untuk penyediaan komputer sebagai infrastruktur utama.
Optimasi Convolutional Neural Network Menggunakan Differential Evolution dalam Identifikasi Kematangan Buah Kelapa Sawit Budiman, Naufal; Adi, Kusworo; Wibowo, Adi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 1: Februari 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026131

Abstract

Deteksi kematangan buah kelapa sawit merupakan salah satu langkah penting dalam meningkatkan efisiensi dan produktivitas di sektor pertanian di Indonesia. Dalam era perkembangan teknologi, penerapan metode berbasis kecerdasan buatan, seperti Convolutional Neural Network (CNN), sering digunakan dalam pengenalan dan klasifikasi citra. Dalam proses pengembangan model Deep Learning, optimasi untuk meningkatkan akurasi dan efisiensi komputasi menjadi langkah penting. Proses ini melibatkan penyesuaian arsitektur dan hyperparameter untuk memastikan model dapat mempelajari fitur yang relevan secara efektif. Melalui optimasi, model dapat disesuaikan untuk menangani karakteristik dataset tertentu, meningkatkan kemampuan generalisasi, dan memaksimalkan kinerja pada tugas klasifikasi. Penelitian ini mengoptimasi model CNN melalui penyesuaian arsitektur dan hyperparameter menggunakan salah satu algoritma evolusi, yaitu Differential Evolution (DE), dalam mengidentifikasi tingkat kematangan buah kelapa sawit. Dataset yang digunakan dalam penelitian ini berupa gambar buah kelapa sawit dengan tiga tingkat kematangan, yaitu: matang, mentah, dan busuk. Sebagai pembanding, penelitian ini juga menggunakan metode CNN tanpa DE. Hasil dari penelitian menunjukkan bahwa metode CNN yang dioptimasi menggunakan DE dalam mengidentifikasi tingkat kematangan buah kelapa sawit memberikan akurasi sebesar 0,98 serta nilai presisi, sensitivitas, dan F1-score di atas 0,97 untuk semua kelas.   Abstract The detection of oil palm fruit ripeness is a crucial step in improving efficiency and productivity in Indonesia's agricultural sector. In the era of technological advancement, artificial intelligence-based methods, such as Convolutional Neural Networks (CNN), are frequently applied in image recognition and classification. In developing Deep Learning models, optimization plays a vital role in enhancing accuracy and computational efficiency. This process involves adjusting the architecture and hyperparameters to ensure the model can effectively learn relevant features. Through optimization, the model can be tailored to handle specific dataset characteristics, improve generalization, and maximize performance in classification tasks. This study optimizes a CNN model by adjusting its architecture and hyperparameters using an evolutionary algorithm known as Differential Evolution (DE) to identify the ripeness levels of oil palm fruits. The dataset used in this study consists of images of oil palm fruits categorized into three ripeness levels: ripe, unripe, and rotten. For comparison, a baseline CNN model without DE optimization was also employed. The results show that the CNN model optimized using DE achieved an accuracy of 0,98 with precision, sensitivity, and F1-score values exceeding 0.97 for all classes.
Co-Authors - Magister Sistem Informasi Universitas Diponegoro, Vincencius Gunawan S.K Abdillah Noor Fajrin Achmad Widodo Adi Pamungkas Adi Wibowo Adian Fatchur Rohim Adila Safitri Agus Atabik Anwar Agustini, Eka Puji Agvion Virsaw Alfajri, Willy Bima Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ardhi, Ovide Decroly Wisnu Ari Bawono Putranto Arief Rachman Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Aryasa, Komang Budi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Budiman, Naufal Cahya Tri Purnami Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dartini Dartini Dartini Dartini, Dartini Dedi Apriyandi Dedi Sepriana Delfia, Fila Dewi, Adinda Cipta Dian Anggraini Didi Supriyadi Dwi Ely Kurniawan Dwi Rochmayanti Dyah Apriliani Eka Vickraien Dangkua, Eka Vickraien Eko Adi Sarwoko Eko Sediono Elvira Situmorang Esa Prakasa, Esa Evi Setiawati Evita Ayu Suryaningtyas Faikhin . Faisal Rahman Fanny, Nabilatul Fardana, Nouvel Izza Farid Agushybana Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Frida Fallo Gatot Murti Wibowo Gatot Murti Wibowo, Gatot Murti Hadyan Arifianto Hariri, Ahmad Harnanto, Rudy Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan HENDRA GUNAWAN B11211055 Hernowo Danusaputro Ibrahim, Muhammad Rivani Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Jatmiko Endro Suseno Jatmiko Endro Suseno Jayawarsa, A.A. Ketut Julianto, Dewa Rizki Rahmat Laila Rahmawati Linda Nuryanti M.Irwan Katili Mailia Putri Utami Mailia Putri Utami MAIZZA NADIA PUTR Maratullatifah, Yulaikha MARTINI Martini Martini Mengko, Tati L.R. Muhammad Ikhsan Nahdi Saubari Nanang Sulaksono, Nanang Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nugroho, Irwan Andriyanto Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Pamungkas, Ardian Prakasa, Fawwaz Bimo Puji Widodo, Aris Purwanto Purwanto Puspita Sari, Kiki Putri Nuriskianti Qoriani Widayati R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Rasyid Rasyid, Rasyid Retnaningsih Soeprobowati, Tri Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Sari, Kiki Puspita Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sidin Hariyanto Sifaunajah, Agus Siti A'isyah Siti Nur Endahyani Sri Bintang Pamungkas Suandari P.V.L Suryono Suryono Suseno, Jatmiko Endor Sutopo Patria Jati Tati Mengko Tati Mengko, Tati Tito Rano Pradibto Toni Wijanarko Adi Putra Tri Mulyono Tri Retnaningsih Soeprobowati Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Wahyuni, Wilda Waliyansyah, Rahmat Robi Weirna Yusanti Wicaksono, Januar Agung Widagdo, Krisan Aprian Wisnu Ardhi, Ovide Decroly Wiwit Agus Triyanto Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin