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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) Jurnal Rekam Medis dan Informasi Kesehatan Media Ilmu Kesehatan Jurnal Teknik Informatika UNIKA Santo Thomas J-SAKTI (Jurnal Sains Komputer dan Informatika) 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 Pendidikan dan Kewirausahaan Jurnal Ilmiah Intech : Information Technology Journal of UMUS Tematik : Jurnal Teknologi Informasi Komunikasi 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
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Penerapan Metode SAW dalam Penentuan Mata Pelajaran Pilihan Siswa Kelas XI pada MAN 1 Brebes Saputro, Risky Wisnu; edi, sarwo; Perdana, Willy Yudha; Nugroho, Kristiawan; Ardhianto, Eka
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.9248

Abstract

The subject selection process for eleventh-grade students at Madrasah Aliyah Negeri 1 Brebes faces challenges including misalignment between student interests and academic abilities, and imbalanced teacher-to-subject ratios across Natural Sciences, Social Sciences, and Religious Studies. This study develops a decision support system using the Simple Additive Weighting (SAW) method to provide objective recommendations that consider both academic performance and student preferences. A quantitative descriptive analytical approach was applied with data from 30 tenth-grade students, incorporating four criteria: Natural Sciences scores, Social Sciences scores, Religious Studies scores, and student interests, weighted 0.25, 0.25, 0.10, and 0.40 respectively. The SAW implementation included decision matrix construction, normalization, weighted preference calculation, and recommendation determination. Results showed optimal distribution with 19 students recommended for Natural Sciences, 7 for Social Sciences, and 4 for Religious Studies, achieving 96.67% accuracy in aligning preferences while optimizing academic potential. The system preserved preferences for all students initially interested in Social Sciences and Religious Studies, while reassigning two Natural Sciences–interested students to Social Sciences based on superior performance. Top-performing students identified were Mohammad Abian for Natural Sciences (0.9802), Julia for Social Sciences (0.87243), and a student with 0.75995 for Religious Studies. The SAW method proves effective in addressing multi-criteria decision-making while ensuring transparency, objectivity, and balanced resource use in Islamic secondary education.
The Influence of Graphic Design in Digital Marketing Industry: An Experimental Study Muh Kholid Rizky Sapawi; Vici Tiara Anjarsari; Kristiawan Nugroho; Retnowati
Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences,
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/icmsnsc.v1i2.22

Abstract

Graphic design has become a key element in shaping consumer perception and influencing engagement metrics in digital marketing. This study aims to explore the role of graphic design in the success of digital marketing campaigns through an experimental approach. The study compared the performance of visually optimized content with non-optimized content on various digital platforms, including social media, websites, and email marketing. The results of the experiment showed that content with optimized graphic design resulted in significant increases in consumer engagement, brand recall, and conversion rates. The increase in consumer engagement reached an average of 35%, while brand recall increased by up to 20% compared to non-optimized content. This study highlights the importance of integrating design aesthetics into digital marketing strategies to achieve higher effectiveness. The findings provide practical insights for marketing professionals in designing more visually appealing campaigns, while opening up opportunities for further research on the specific elements of graphic design that have the greatest impact on consumer behavior. Thus, this study strengthens the strategic role of graphic design in the era of digital-based marketing.
Analisis Sentimen dan Prediksi Ulasan Pada Aplikasi Info BMKG Afif, Randi; Nugroho, Kristiawan
JURNAL FASILKOM Vol. 15 No. 2 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i2.9746

Abstract

Aplikasi Info BMKG menyediakan informasi cuaca dan iklim bagi masyarakat Indonesia. Ulasan pengguna di Google Play Store merefleksikan kepuasan dan kritik yang dapat dianalisis untuk peningkatan layanan. Penelitian ini bertujuan mengklasifikasikan sentimen dan memprediksi volume ulasan menggunakan Recurrent Neural Network (RNN) dan Long  Short-Term Memory (LSTM). Sebanyak 3000 ulasan diperoleh melalui web scraping dan setelah diproses dengan pembersihan data, tokenisasi, stemming, penghapusan stopword, dan labelling, maka jumlahnya menjadi 2645 ulasan. Hasil menunjukkan LSTM unggul pada klasifikasi sentimen dengan akurasi 90% dan F1-score 0,90, sedangkan RNN memperoleh akurasi 87% dan F1-score 0,82. Pada prediksi jumlah ulasan negatif, RNN lebih baik (MSE: 104,97; MAE: 7,61; R²: 0,22), sementara kedua model kurang optimal untuk kategori positif (R² negatif). Temuan ini menunjukkan LSTM lebih efektif untuk klasifikasi, sedangkan RNN lebih unggul dalam prediksi ulasan negatif
Analisa Dan Perancangan Sistem Pendaftaran Pasien Rawat Jalan Di Klinik Mata Madiun Nugroho, Kristiawan; Irawan, Sandy; Rahadiyanto, Cahyono; Fitrianto, Lindu; Suprapto, Yossy
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. 
Penerapan Sistem Penilaian Kinerja : Dampaknya terhadap Peningkatan Kinerja Liana, Lie; Kasmari, Kasmari; Aquinia, Ajeng; Nugroho, Kristiawan
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 7 No 1 (2024): Article Research Volume 7 Number 1, January 2024
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v7i1.1398

Abstract

Dosen adalah aset bagi sebuah perguruan tinggi, bahkan dosen disebut ujung tombak dalam proses pembelajaran. Hal ini menunjukkan bahwa dosen mempunyai peran yang vital dalam sebuah perguruan tinggi. Oleh sebab itu, penilaian kinerja terhadap dosen menjadi sangat penting untuk mengukur sistem tata kelola manajemen sumber daya manusia dalam rangka mencapai tujuan, visi dan misi perguruan tinggi. Berbagai perguruan tinggi terus mengembangkan sistem penilaian kinerja terhadap kinerja dosennya. Salah satunya adalah Universitas Stikubank Semarang, sebuah universitas yang berusia 55 tahun, tepatnya pada tanggal 28 April 2023. Data berupa data sekunder yaitu hasil penilaian kinerja yang telah dikumpulkan sejak tahun 2021 dan 2022. Responden dalam penelitian ini adalah 128 dosen. Dosen mengisi penilaian kinerja periode satu sampai April 2021. Berdasarkan hasil analisis didapatkan bahwa pada awal penilaian kinerja ini ada sejumlah 38,3% atau 49 dosen yang tidak memenuhi. Hal ini bisa diduga bahwa beberapa dosen belum siap untuk dinilai kinerjanya. Dengan adanya penilaian kinerja ini, para dosen seperti dibangunkan dari tidur panjangnya, bahwa situasi dan kondisi saat ini menuntut para dosen untuk melaksanakan tugas dengan baik. Pada penilaian kinerja periode Oktober 2021 ternyata dosen yang tidak memenuhi berkurang menjadi 12,5% atau 16 dosen. Ada usaha yang baik dari 33 dosen untuk memenuhi penilaian kinerjanya. Pada periode April 2022 ada 32,8% atau 42 dosen yang tidak memenuhi penilaian kinerja. Anehnya ada dosen yang sudah memenuhi di penilaian kinerja pada periode Oktober 2021 tetapi terkena di April 2022 yaitu ada 31 dosen. Tetapi usaha yang dilakukan oleh para dosen sungguh luar biasa. Pada bulan Oktober 2022 tinggal 3,9% atau 5 dosen yang tidak memenuhi penilaian kinerja. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa penilaian kinerja telah berdampak pada peningkatan kinerja dosen di Universitas Stikubank Semarang.
Usability Sentiment Analysis Menggunakan Metode SUMI, NLP Scikit-Learn pada Aplikasi New Sakpole Aminudin, Agus; Hadiono, Kristophorus; Nugroho, Kristiawan
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 2 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i2.5451

Abstract

This research will discuss issues related to how to evaluate the usability and Sentiment Analysis aspects of the New Sakpole application system, how to determine the level of user satisfaction in using the New Sakpole mobile application and to determine sentiment analysis based on the results of analysis using the SUMI and NLP tools. The research objective is based on the formulation of existing problems to provide usability aspect values for the development of the New Sakpole mobile application and generate recommendations for improvement and determine the level of positive and negative sentiment analysis by using the New Sakpole Application as a medium for paying Motor Vehicle Tax. The test uses the Software Usability Measurement Inventory (SUMI) tool, the New Sakpole mobile application system, which is very helpful and can provide value to the community in the online vehicle tax payment process. This can be seen and obtained from a scale of helpfulness and efficiency resulting from a maximum score of 100 with an average score of 101 and 86.2. The results of the test using the SUMI tool, all average aspects get above average results, so the level of usability that occurs is that the use of New Sakpole has worked and is running well. The test uses Scikit-Learn Natural Language Processing (NLP) that the results of processing the review dataset on the New Sakpole Application from the Google Play Store with a total of 4704 reviews and a sampling of 500 reviews, that the response or reviews of the community using the New Sakpole application are negative even though for Acuracy word (words) that conveyed a review of 80.90%. From the results of the sample data test that index 0 is negative so that the words "good, very enlightening" can be concluded with Sentiment is 1 (POSITIVE)".
PENENTUAN PEMILIHAN VARITAS UNGGUL PADA TANAMAN PADI MENGGUNAKAN LOGIKA FUZZY TSUKAMOTO BERBASIS WEB Yoga Ryan Fatony; Kristiawan Nugroho
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1389

Abstract

Rice plants (Oryza sativa L.) are rice-producing plants which are a source of carbohydrates for most of the world's population. Almost 95% of Indonesia's population consumes rice as a staple food, so every year the demand for rice increases as the population increases. Therefore, farmers must choose quality seeds. In this era of fast and efficient technological progress, this is a very good thing for all progress in various fields. more and more fields of knowledge are developing, one of which is the existence of a decision-making system. a set of model-based procedures for processing and valuing data to help managers make decisions. This decision-making system uses several variables as input consisting of: type of variety, seed shape, seed color, root, seed age. The method used by the author is Fuzzy Tsukamoto. In the Tsukamoto method, it is explained that each consequence in IF-Then must be explained with a fuzzy set that has a membership function that does not change or is monotonous and for programming it uses PHP. The results obtained from the research that the authors conducted were in the form of a decision-making system to get the best seed yields.
Analysist of User Satisfaction of the High School Student Admissions Website using the User Experience Questionnaire Method Prabowo, Ardian Adi; Fathoni, Ahmad; Nugroho, Anjis Sapto; Nugroho, Kristiawan; Farooq, Omar
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 4 No. 1 (2025): March 2025
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v4i1.4841

Abstract

In the era of digitalization of public services, web-based student registration systems have become an important instrument in the education sector. The Website for New Student Admission (PPDB) of Senior High Schools (SMA) and Vocational High Schools (SMK) in Central Java Province has been implemented as a single platform for new student registration, but the main problem identified is the lack of a comprehensive evaluation of the level of user satisfaction with the quality of interaction experience with this platform, especially after the emergence of several complaints on the official PPDB social media regarding the system flow, services, and website appearance. The purpose of this study is to measure and analyze the level of user satisfaction with the PPDB website of SMA/SMK in Central Java Province using the User Experience Questionnaire (UEQ) approach which covers six aspects of user experience. This research method is descriptive quantitative with a survey approach using a standardized UEQ instrument consisting of 26 question items, involving 30 respondents of class X students of SMA Negeri 1 Karanganyar Demak selected using a 10% sampling technique from the population. The results of this study are indicate that the efficiency criteria obtained the highest score of 1.125, while the novelty criteria received the lowest score of 0.792, with the benchmark comparison diagram indicating a position below average (poor) in the criteria of attractiveness (1.061), clarity (1.092), accuracy (0.983), and stimulation (0.992), while in the criteria of efficiency and novelty, they are in a position above average (quite good). The implication of these findings underlines the need for further development in the aspects of visual appeal, clarity of information, accuracy of functions, and interaction stimulation to improve the overall quality of the user experience of the PPDB website.
Sistem Mobile Deteksi Gangguan Kejiwaan Berbasis Suara Menggunakan Metode Deep Convolutional Neural Network Nugroho, Kristiawan; Jusran, Alek; Sari, Linda Kartika; Nofiyanto, Muhamat; Suprihhartini, Suprihhartini
Jurnal Sains dan Teknologi Informasi Vol 5 No 1 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i1.8966

Abstract

-Mental disorders are a global health problem that often goes undetected early, requiring innovative approaches to their detection. This study aims to develop a mobile system capable of detecting mental disorders based on voice using Deep Convolutional Neural Network technology. The method used in this study is the collection of voice data from individuals experiencing symptoms of mental disorders, followed by voice feature extraction and the application of a Deep Convolutional Neural Network model for the classification of these disorders. The system was tested using a processed voice dataset, which includes various types of mental disorders, including depression and anxiety. The results showed that the Deep Convolutional Neural Network model was able to achieve high detection accuracy, with the ability to recognize mental disorders based on specific voice characteristics. This finding opens new opportunities for faster and more efficient detection of mental disorders using mobile devices, which are accessible to the wider community. This study also demonstrates the great potential of deep learning technology in the field of mental health, particularly in the prevention and diagnosis of mental disorders.
Analisis Arsitektur Enterprise Untuk Pengembangan Smart Village Dan Integrasi Sistem Informasi Desa Bojongminggir Hakim, Mujibul; Sholehudin, Mukti Ahmad; Mala, Hasda Nuril; Nugroho, Kristiawan
JURNAL PENDIDIKAN DAN KEWIRAUSAHAAN Vol 13 No 2 (2025)
Publisher : STKIP PGRI SITUBONDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/pkwu.v13i2.2164

Abstract

Desa Bojongminggir di Kabupaten Pekalongan telah mencapai status "Desa Mandiri" berdasarkan Indeks Pembangunan Desa (IPK), namun menghadapi tantangan fragmentasi data antara Sistem Keuangan Desa (Siskeudes) dan Sistem Informasi Desa (OpenSID). Masalah utama yang teridentifikasi adalah fragmentasi sistem, di mana desa menggunakan aplikasi Siskeudes untuk pelaporan keuangan ke pemerintah pusat, sementara layanan pos dan administrasi kependudukan menggunakan OpenSID. Penelitian ini merancang arsitektur perusahaan terintegrasi menggunakan kerangka kerja TOGAF ADM 9.2 untuk mendukung konsep Desa Cerdas. Metode penelitian menggunakan pendekatan metode campuran melalui observasi, FGD, dan pengembangan prototipe sistem. Hasil penelitian menghasilkan cetak biru arsitektur yang mengintegrasikan data kependudukan sebagai Sumber Kebenaran Tunggal (Single Source of Truth) dengan implementasi gateway API untuk konektivitas antar sistem. Evaluasi prototipe menunjukkan peningkatan efisiensi waktu layanan dari 15 menit per layanan menjadi mendekati waktu nyata sekitar 3 menit per layanan, ketersediaan sistem meningkat dari 85% menjadi 99,2%, dan staf administrasi memberikan skor SUS rata-rata 82,0. Arsitektur ini selaras dengan Peraturan Bupati Pekalongan Nomor 33 Tahun 2018 dan menyediakan peta jalan yang terukur untuk transformasi digital desa.
Co-Authors Achmad Nuruddin Safriandono Afandi , Afandi Afif, Randi Ahmad Fathoni Ajib Susanto Ajie, Ach. Ridlo Bayu Alex Chandra Iswanto Alfiqhyanto, Damas 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 De Rosal Ignatius Moses Setiadi Dhendra Marutho Dwi Agus Diartono Dwi Budi Santoso Edy Winarno Eka Ardhianto Eko Ariyanto Eko Prasetyo Eko Prasetyo Eksawati, Rini Endang Tjahjaningsih Eri Zuliarso Ermillian, Ade Faizi, Aditya Wahyu Nur fakhri Fakhri Farooq, Omar Fitrianto, Lindu Hakim, Mujibul Hari Murti Heribertus Yulianton Hermawan, Taufan Hidayat, Suluh Hussain Md Mehedul Islam Irawan, Sandy Isworo Nugroho Jusran, Alek Kasmari . Kirana, Heni Candra Kristhoporus Hadiono Kristianto, Taufik Fredy Kristiyono, Budi Kristophorus Hadiono Lie Liana Lie Liana . Linda Kartika Sari Mala, Hasda Nuril Mamet Adil Araaf Minantri Haika, Shara Muh Kholid Rizky Sapawi Muhamad Riski Atarik Mulyani , Wahyu Sri Mulyo Budi Setiawan Munna, Aliyatul Muslikh, Ahmad Rofiqul Niken Puspitasari Nofiyanto, Muhamat Nurmakhlufi, Alfin Ojugo, Arnold Adimabua Omar Farooq Palupi, Dian Perdana, Willy Yudha Prabowo, Ardian Adi Prihatin, Rudi Setyo R.M.Herdian Bhakti Radyanto, Mohammad Riza Rahadian Kristiyanto Rachman Rahadiyanto, Cahyono Raharjo, Fajar Retnowati Rokhayadi, Wakhid Ruslana, Zauyik Nana Saputra, Roni Halim Saputro, Risky Wisnu Sariyun Naja Anwar Sarwo Edi, Sarwo Setyaningtyas, Elvanita Sholehudin, Mukti Ahmad Siti Sholihah Ari Susanti Sri Mulyani Sugeng Murdowo Suhana Suhana Sulastri Sulastri Sulistiyowati Sulistiyowati Sunardi Sunardi Suprapto, Yossy Suprihhartini, Suprihhartini SUTANTO, FELIX Syahroni Wahyu Iriananda, Syahroni Wahyu Teguh Khristianto Veronica Lusiana Vici Tiara Anjarsari Warto Warto Wicaksono, Himawan Widiyanto Tri Handoko Wijayanto, Wendhie Tri Wiratno, Amat Wismarini , Th. Dwiati Wiwien Hadi Kurniawati Yayi Suryo Prabandari Yoga Ryan Fatony Yoga Ryan Fatony