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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Techno.Com: Jurnal Teknologi Informasi Elkom: Jurnal Elektronika dan Komputer Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Journal of Telematics and Informatics INFOKAM Sisforma: Journal of Information Systems CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Rekam Medis dan Informasi Kesehatan Media Ilmu Kesehatan Jurnal Teknik Informatika UNIKA Santo Thomas Jesya (Jurnal Ekonomi dan Ekonomi Syariah) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Riset Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming SOSCIED Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Ilmiah Intech : Information Technology Journal of UMUS Tematik : Jurnal Teknologi Informasi Komunikasi TEPIAN Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Business and Technology J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat SENTRI: Jurnal Riset Ilmiah Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Seminar Nasional Ilmu Terapan Jurnal Kabar Masyarakat Journal of Computing Theories and Applications Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sains dan Teknologi Informasi Journal of Future Artificial Intelligence and Technologies Proceeding of The International Conference on Mathematical Sciences, Natural Sciences, and Computing Jurnal Informatika Dan Tekonologi Komputer
Dian Kristiawan Nugroho
Universitas Stikubank
Aerospace Engineering Humanities Automotive Engineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Perancangan Enterprise Architecture Berbasis Togaf ADM Untuk Integrasi Sistem Menggunakan ODOO ERP pada PT Bromindo Mekar Mitra Suluh Hidayat; Heni Candra Kirana; Himawan Wicaksono; Kristiawan Nugroho
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5348

Abstract

Digital transformation requires organizations to implement integrated and adaptive information systems capable of supporting end-to-end business processes. PT Bromindo Mekar Mitra currently utilizes several applications, such as Firecek Backoffice, Bisma, Pembukuan, Trello, and Oteem to support its operations. However, these systems operate independently (stand-alone), resulting in data duplication, reporting delays, and information inconsistencies across divisions. This condition indicates an urgent need for a strategic and structured architectural approach to achieve system integration aligned with the company’s business requirements. This study aims to design an Enterprise Architecture (EA) as a foundation for system modernization and integration using the Odoo ERP platform. The TOGAF Architecture Development Method (ADM) framework is employed to analyze the As-Is architecture, develop the To-Be architecture, and formulate a comprehensive implementation roadmap. Data collection was conducted through interviews, business process observations, and analysis of internal documentation. The research results include integrated business, data, application, and technology architecture designs, as well as recommendations for Odoo ERP modules that align with PT Bromindo Mekar Mitra’s operational needs. The resulting EA blueprint and migration roadmap are expected to serve as strategic guidance for the company in implementing system integration in a gradual, measurable, and sustainable manner while minimizing the risks associated with ERP adoption.
Analisa Dan Perancangan Sistem Pendaftaran Pasien Rawat Jalan Di Klinik Mata Madiun Kristiawan Nugroho; Sandy Irawan; Cahyono Rahadiyanto; Lindu Fitrianto; Yossy Suprapto
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 8 No. 1 (2025): MARET 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v7i2.12259

Abstract

Klinik merupakan fasilitas pelayanan kesehatan yang terdiri dari klinik pratama dan klinik utama, masing-masing menyediakan pelayanan non-spesialis dan spesialis. Klinik Mata di Madiun berlokasi di Jawa Timur, menyediakan berbagai layanan kesehatan mata seperti LASIK, operasi glaukoma, dan katarak. Untuk meningkatkan efisiensi pelayanan, klinik membutuhkan sistem informasi yang terintegrasi dengan Kementerian Kesehatan melalui platform Satu Sehat. Sistem informasi klinik ini, dikenal sebagai Simklinik, dirancang untuk mengelola data pendaftaran pasien, rekam medis, dan pengiriman data pasien secara terkomputerisasi. Hal ini dapat mencegah duplikasi data pasien dan mempercepat proses pelayanan. Penelitian ini bertujuan untuk menganalisis dan merancang sistem informasi pendaftaran rawat jalan di Klinik Mata Madiun. Metode yang digunakan adalah Waterfall, sebuah model pengembangan sistem informasi yang terdiri dari beberapa tahapan dalam System Development Life Cycle (SDLC). Data yang digunakan berdasarkan rekam medis dari Klinik Mata Madiun. Hasil pengujian sistem menggunakan metode black box menunjukkan keberhasilan dengan tingkat kesesuaian 100%, menandakan bahwa sistem ini dapat memenuhi kebutuhan klinik secara optimal dan efisien. 
INDONESIAN LANGUAGE CLASSIFICATION OF CYBERBULLYING WORDS ON TWITTER USING ADABOOST AND NEURAL NETWORK METHODS Kristiawan Nugroho
Jurnal Riset Informatika Vol. 3 No. 2 (2021): March 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i2.54

Abstract

Cyberbullying is a very interesting research topic because of the development of communication technology, especially social media, which causes negative consequences where people can bully each other, causing victims and even suicide. The phenomenon of Cyberbullying detection has been widely researched using various approaches. In this study, the AdaBoost and Neural Network methods were used, which are machine learning methods in classifying Cyberbullying words from various comments taken from Twitter. Testing the classification results with these two methods produces an accuracy rate of 99.5% with Adaboost and 99.8% using the Neural Network method. Meanwhile, when compared to other methods, the results obtained an accuracy of 99.8% with SVM and Decision Tree, 99.5% with Random Forest. Based on the research results of the Neural Network method, SVM and Decision Tree are tested methods in detecting the word cyberbullying proven by achieving the highest level of accuracy in this study.
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN MEDIA PEMBELAJARAN TERBAIK DI SEKOLAH MENGGUNAKAN METODE SAW DAN TOPSIS Wendhie Tri Wijayanto; Taufik Fredy Kristianto; Ach. Ridlo Bayu Ajie; Kristiawan Nugroho; Eka Ardhianto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3957

Abstract

Abstrack: Digital transformation in education demands the development of a comprehensive decision support system to optimize the selection of learning media in educational institutions. This study aims to develop a multi-criteria evaluation framework using a combination of the Simple Additive Weighting method and the Technique for Order of Preference by Similarity to Ideal Solution to determine the optimal learning media. The research methodology uses a comparative quantitative approach with a systematic documentation study of eight types of learning media at SMK Bhakti Persada, Kendal Regency during the period of June 2025. The analysis was carried out based on four main criteria: learning effectiveness, interactivity, ease of use, implementation costs. The results showed that digital technology-based learning media dominated with 62.5%, where e-learning platforms achieved the highest ranking in SAW (1,000) and optimal interactive multimedia in TOPSIS (0.699). The Spearman correlation coefficient of 0.976 confirmed methodological consistency with expert judgment validation reaching an acceptance level of 89.2%. The developed system makes a significant contribution to optimizing the allocation of educational resources through objective and measurable evidence-based decision making.Keyword: decision support systems, learning media, multi-criteria evaluation. Abstrak: Transformasi digital dalam dunia pendidikan menuntut pengembangan sistem pendukung keputusan yang komprehensif untuk optimalisasi pemilihan media pembelajaran di institusi pendidikan. Penelitian ini bertujuan mengembangkan framework evaluasi multi-kriteria menggunakan kombinasi metode Simple Additive Weighting dan Technique for Order of Preference by Similarity to Ideal Solution untuk menentukan media pembelajaran optimal. Metodologi penelitian menggunakan pendekatan kuantitatif komparatif dengan studi dokumentasi sistematis terhadap delapan jenis media pembelajaran di SMK Bhakti Persada Kabupaten Kendal selama periode bulan Juni 2025. Analisis dilakukan berdasarkan empat kriteria utama: efektivitas pembelajaran, interaktivitas, kemudahan penggunaan, biaya implementas.. Hasil penelitian menunjukkan bahwa media pembelajaran berbasis teknologi digital mendominasi dengan 62,5%, dimana platform e-learning mencapai ranking tertinggi dalam SAW (1,000) dan multimedia interaktif optimal dalam TOPSIS (0,699). Koefisien korelasi Spearman sebesar 0,976 mengkonfirmasi konsistensi metodologis dengan validasi expert judgment mencapai tingkat penerimaan 89,2%. Sistem yang dikembangkan memberikan kontribusi signifikan terhadap optimalisasi alokasi sumber daya pendidikan melalui pengambilan keputusan berbasis evidence yang objektif dan terukur. Kata-kata Kunci: sistem pendukung keputusan, media pembelajaran, multi-kriteria evaluasi.
SISTEM PENDUKUNG KEPUTUSAN METODE SAW UNTUK SELEKSI PPNPN TELADAN DI STASIUN METEOROLOGI AHMAD YANI Dian Palupi; Rini Eksawati; Fajar Raharjo; Amat Wiratno; Kristiawan Nugroho; Eka Ardhianto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4157

Abstract

Abstract: The selection of exemplary Government Employees Non-Civil Servants (PPNPN) is a strategic initiative aimed at fostering a productive, disciplined, and professional work culture within government institutions. This system is designed to assist the evaluation and selection process of outstanding PPNPN at Ahmad Yani Meteorological Station, replacing conventional assessment methods that previously focused mainly on attendance and communication, which were often considered subjective and time-consuming. The evaluation involved 10 PPNPN assessed based on eight key criteria: productivity, personality and loyalty, attendance, job responsibility, initiative, honesty, neatness, and teamwork. Data were collected through questionnaires distributed to Civil Servants (ASN) at Ahmad Yani Meteorological Station, who are directly involved in the daily performance assessment of the PPNPN. The results show that the Simple Additive Weighting (SAW) method effectively ranked PPNPN performance, with the highest score of 100 achieved by MH and the lowest score of 95.2 by HS. The implementation of the SAW method is expected to provide transparent, objective, and measurable results to support data-driven decision-making in employee performance evaluations. Keyword: Decision Support System; SAW; PPNPN; Performance Evaluation Abstrak: Pemilihan Pegawai Pemerintah Non Pegawai Negeri (PPNPN) teladan merupakan langkah strategis dalam mendorong budaya kerja yang produktif, disiplin, dan profesional di lingkungan instansi pemerintahan. Sistem ini dirancang untuk menjadi alat bantu dalam proses evaluasi dan seleksi PPNPN teladan di Stasiun Meteorologi Ahmad Yani, menggantikan metode penilaian konvensional yang sebelumnya hanya berpusat pada presensi dan komunikasi yang dinilai kurang objektif dan memakan waktu. Prosesevaluasi melibatkan 10 orang PPNPN yang dinilai berdasarkan delapan kriteria utama, yakni produktivitas, perilaku kepribadian dan loyalitas, kehadiran, tanggung jawab pekerjaan, inisiatif, kejujuran, kerapihan, dan kerjasama. Data dikumpulkan melalui penyebaran kuesioner kepada Aparatur Sipil Negara (ASN) di Stasiun Meteorologi Ahmad Yani sebagai responden yang terlibat langsung dalam penilaian kinerja harian para PPNPN. Hasil penelitian menunjukan bahwa metode SAW berhasil menyusun peringkat kinerja PPNPN secara efektif. Dimana didapat nilai tertinggi yaitu 100 atas nama MH dan nilai terendah yaitu HS dengan nilai 95.2. Dengan metode SAW ini diharapkan mampu memberikan hasil yang transparan, objektif, dan terukur dalam mendukung proses pengambilan keputusan berbasis data dalam evaluasi kinerja pegawai. Kata kunci: Sistem Pendukung Keputusan; Simple Additive Weighting; PPNPN;                    Penilaian Kinerja
Enhanced multi-lingual Twitter sentiment analysis using hyperparameter tuning k-nearest neighbors Kristiawan Nugroho; Edy Winarno; De Rosal Ignatius Moses Setiadi; Omar Farooq
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7265

Abstract

Social media is a medium that is often used by someone to express themselves. These various problems on social media have encouraged research in sentiment analysis to become one of the most popular research fields. Various methods are used in sentiment analysis research, ranging from classic machine learning (ML) to deep learning. Researchers nowadays often use deep learning methods in sentiment analysis research because they have advantages in processing large amounts of data and providing high accuracy. However, deep learning also has limitations on the longer computational side due to the complexity of its network architecture. K-nearest neighbor (KNN) is a robust ML method but does not yet provide high-accuracy results in multi-lingual sentiment analysis research, so a hyperparameter tuning KNN approach is proposed. The results showed that using the proposed method, the accuracy level improved to 98.37%, and the classification error (CE) improved to 1.63%. The model performed better than other ML and even deep learning methods. The results of this study indicate that KNN using hyperparameter tuning is a method that contributes to the sentiment analysis classification model using the Twitter dataset.
UI/UX Design Analysis of Students' Integrated Information System Using Design Thinking and Agile Scrum with System Usability Scale (SUS) Evaluation in Jayawijaya District Haris Asso; Kristiawan Nugroho
TEPIAN Vol. 7 No. 3 (2026): September 2026
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v7i3.3930

Abstract

Student scholarship management in Jayawijaya Regency still faces various challenges, including non-integrated data management, administrative processes that are still performed manually, low transparency, and ineffective coordination among stakeholders. These conditions result in delays in scholarship distribution, difficulties in monitoring and decision-making that is not yet supported by integrated data. This study aims to design and evaluate an Integrated Student Information System to support scholarship management by applying the Design Thinking approach combined with the Agile Scrum development framework. The Design Thinking process was used to identify stakeholder needs, formulate system requirements, and generate solution concepts, which were subsequently translated into nine Product Backlog items to be developed incrementally through three development sprints. The resulting prototype includes multi-role authentication, student dashboard, Education Office dashboard, online scholarship application, verification and validation, application status tracking, student data management, communication and notification, and reporting. The prototype was subsequently evaluated using the System Usability Scale involving 41 respondents. The evaluation results produced an average score of 74.39, indicating that the prototype falls within the Acceptable category with good usability. The findings demonstrate that the integration of Design Thinking and Agile Scrum is capable of producing a user-centered prototype, improving transparency, coordination and supporting the digital transformation of scholarship management in Jayawijaya Regency.
Analysis of E-Government Implementation in Semarang City Based on Mayor Decree No.50/571 of 2023 on SPBE Architecture Determination Eka Ardhianto; Siti Sholihah Ari Susanti; Heribertus Yulianton; Widiyanto Tri Handoko; Kristiawan Nugroho
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 6 No. 1 (2026): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v6i1.8802

Abstract

This study provides an in-depth analysis of the implementation of e-government in Semarang City, driven by Mayor Decree No.50/571 of 2023 concerning the establishment of the Electronic-Based Government System (SPBE) framework. The research evaluates the alignment of Semarang City's e-government strategies with national regulations, including PerPres No.95/2018 on SPBE, PermenPANRB No.5/2018 on SPBE evaluation criteria, and PerPres No.132/2022 on national SPBE architecture. Employing qualitative methods through literature reviews, interviews, surveys, and observations, this study examines e-government readiness, smart governance, digital service integration, and benchmarking practices. The results highlight significant progress in enhancing public service efficiency and transparency, though challenges such as system interoperability, cybersecurity risks, and public engagement remain. Recommendations include strengthening infrastructure, improving human resource capacity, and fostering citizen involvement for sustainable e-government development.
Co-Authors Ach. Ridlo Bayu Ajie Achmad Nuruddin Safriandono Afandi , Afandi Afif, Randi Ahmad Fathoni Ajib Susanto Ajie, Ach. Ridlo Bayu Alex Chandra Iswanto Amat Wiratno Aminudin, Agus Anjis Sapto Nugroho Anton Sujarwo Anton Sujarwo Aprico, Fikky Apriyanti, Dewi Aquinia, Ajeng Arsyad , Muhammad Rafi Haidar budi hartono Budiarto, Indri Cahaya, Agus Indra Cahyono Rahadiyanto De Rosal Ignatius Moses Setiadi Dhendra Marutho Dian Palupi Djoko Pitoyo Dwi Agus Diartono Dwi Budi Santoso Edy Winarno Eka Ardhianto Eko Prasetyo Eko Prasetyo Eksawati, Rini Endang Tjahjaningsih Eri Zuliarso Ermillian, Ade Faizi, Aditya Wahyu Nur Fajar Raharjo Fakhri fakhri Farooq, Omar Hanacahyani Widya Asih Hari Murti Haris Asso Heni Candra Kirana Heribertus Yulianton Hermawan, Taufan Hidayat, Suluh Himawan Wicaksono Hussain Md Mehedul Islam Isworo Nugroho Jusran, Alek Kasmari . Kirana, Heni Candra Kristhoporus Hadiono Kristianto, Taufik Fredy Kristophorus Hadiono Lie Liana Lie Liana . Linda Kartika Sari Lindu Fitrianto Lintang Amarul Fatah Mamet Adil Araaf Minantri Haika, Shara Muh Kholid Rizky Sapawi Muhamad Riski Atarik Mukti Diananingsih Mulyani , Wahyu Sri Mulyo Budi Setiawan Munna, Aliyatul Muslikh, Ahmad Rofiqul Niken Puspitasari Nofiyanto, Muhamat Nurmakhlufi, Alfin Ojugo, Arnold Adimabua Omar Farooq Omar Farooq Palupi, Dian Perdana, Willy Yudha Prabowo, Ardian Adi Prihatin, Rudi Setyo R.M.Herdian Bhakti Radyanto, Mohammad Riza Rahadian Kristiyanto Rachman Raharjo, Fajar Retnowati Rini Eksawati Rokhayadi, Wakhid Ruslana, Zauyik Nana Sandy Irawan Saputra, Roni Halim Saputro, Risky Wisnu Sariyun Naja Anwar Sarwo Edi, Sarwo Setyaningtyas, Elvanita Siti Sholihah Ari Susanti Sri Mulyani Sugeng Murdowo Suhana Suhana Sulastri Sulastri Sulistiyowati Sulistiyowati Suluh Hidayat Sunardi Sunardi Suprihhartini, Suprihhartini SUTANTO, FELIX Syahroni Wahyu Iriananda, Syahroni Wahyu Taufik Fredy Kristianto Teguh Khristianto Veronica Lusiana Vici Tiara Anjarsari Warto Wendhie Tri Wijayanto Widiyanto Tri Handoko Wijayanto, Wendhie Tri Wiratno, Amat Wismarini , Th. Dwiati Wiwien Hadi Kurniawati Yayi Suryo Prabandari Yoga Ryan Fatony Yoga Ryan Fatony Yossy Suprapto