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All Journal Jurnal Simantec DINAMIKA DOTCOM Jurnal EECCIS CESS (Journal of Computer Engineering, System and Science) PROCEEDING IC-ITECHS 2014 JITEK (Jurnal Ilmiah Teknosains) Cyberspace: Jurnal Pendidikan Teknologi Informasi J-Intech (Journal of Information and Technology) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian UMKM Elang: Journal Of Interdisciplinary Research Journal of Information Technology Elang: Journal Of Interdisciplinary Research Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Meivi Kartikasari
STIKI Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Veterinary Other

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Sistem Informasi Berbasis Web Untuk Pelaporan Kriminalitas Dan Monitoring Kinerja Pada Seluruh Polsek Di Wilayah Kabupaten Madiun Ruly Anggraeni Ega Pertiwi; Siti Aminah; Arif Tirtana; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 10 No 1 (2022): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v10i1.676

Abstract

In the Madiun, the recording process (incident reporting) carried out by members of the Sector Police still uses printed type and is sent in the form of an official letter. In the police supervision section, the police in this area are still manual, namely recapitulating and printing activities to be reported to the police chief. The purpose of this research is to create a website-based information system that will feature the process of reporting criminal & non-criminal events as well as performance features for police officers who function as supervision and monitoring of police performance. The development method used in this research is a waterfall with the stages of gathering requirements, the design process, implementation, integration or testing and the last is operation. In testing the system, the author uses the Blackbox Testing method in which the functionality of this system will be tested whether it is as expected or not. Based on these tests the authors can draw the conclusion that with this system it can make it easier for police members in the process of reporting criminal and non-criminal events around them and make it easier for the police chief in the process of monitoring or monitoring the performance of his members.
Sistem Rekomendasi Pemberian Penghargaan Kepada Karyawan Berprestasi Menggunakan Metode Item-Based Collaborative Filtering Robby Wahyu Nugroho; Meivi Kartikasari
ELANG: Journal of Interdisciplinary Research Vol. 1 No. 01 (2023): ELANG: Journal of Interdisciplinary Research
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/elang.v1i01

Abstract

Sumber daya manusia atau karyawan dalam suatu perusahaan, merupakan faktor yang sangat penting dalam mewujudkan visi dan misi suatu perusahaan. Meningkatkan semangat kerja karyawan sangat penting guna mencapai tujuan dan perkembangan perusahaan. Salah satu metode untuk meningkatkan produktivitas karyawan dengan memberikan program penghargaan. Tentu saja dalam pemberian penghargaan harus melalui perhitungan yang kompleks dan dengan metode perhitungan yang sesuai. Tujuan penelitian yaitu mengembangkan sistem rekomendasi karyawan berprestasi menggunakan metode Item Based Collaborative Filtering dengan tujuan membantu pihak HRD dalam menentukan karyawan berprestasi. Kriteria dan nilai yang digunakan dalam penelitian ditentukan oleh pihak manajemen kemudian dilakukan perhitungan dengan metode item based collaborative filtering dimana perhitungan nilai similarity menggunakan metode pearson correlation based similarity dan perhitungan nilai prediksi menggunakan metode weight average of deviation lalu dilakukan pengujian tingkat error atau akurasi prediksi menggunakan Mean Absolute Error(MAE). Pengujian interface dilakukan dengan menguji semua fungsi sistem dan pengujian hasil perhitungan dilakukan dengan membandingkan hasil perhitungan manual dan hasil perhitungan pada sistem. Hasil dari pengujian terhadap sistem rekomendasi pemberian penghargaan nilai rata-rata error sebesar 0,359 atau tingkat akurasi sebesar 3,59%. Dapat disimpulkan bahwa sistem rekomendasi dengan metode item based collaborative filtering dapat membantu pihak manajemen dalam menentukan karyawan berprestasi dengan baik.
Pengenalan Budaya Panji Sebagai Budaya Asli Nusantara Melalui Kegiatan Melukis Topeng di SMP Muhammadiyah 6 Rahmat Kurniawan; Chaulina Alfianti Oktavia; Meivi Kartikasari; Saiful Yahya
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 1 No. 1 (2023): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v1i1.822

Abstract

Kegiatan Modul Nusantara merupakan rangkaian dari kegiatan Pertukaran Mahasiswa Merdeka (PMM) yang terdiri dari kegiatan Kebhinekaan, Refleksi, Inspirasi dan Kontribusi Sosial. Kegiatan kontribusi sosial oleh mahasiswa PMM Inbound STIKI Malang, dilaksanakan di SMP Muhammadiyah 6. Kegiatan yang dilaksanakan oleh kelompok 3 terdiri dari kegiatan workshop pengenalan budaya panji sekaligus mengajak siswa-siswi SMP Muhammadiyah 6 untuk melukis topeng menggunakan media lukis. Hasil dari kegiatan kontribusi sosial tersebut adalah mendapatkan ilmu dan wawasan bagi siswa-siswi SMP Muhammadiyah 6 khususnya dalam mengenali budaya Wayang Topeng Malangan dan wawasan tentang melukis topeng malangan sebagai warisan budaya nusantara.
Kategorisasi dan Visualisasi Semantik-Topik Berbasis LLM pada Refleksi Guru Koding Kecerdasan Artifisial Tubagus Mohammad Akhriza; bagus; Meivi Kartikasari; Syntia Widyayuningtias Putri Listio
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The training program for Senior and Vocational High School teachers of the Coding and Artificial Intelligence (KKA) subject serves as a strategic effort to strengthen human resource capacity in response to digital transformation. Teachers are expected to understand the KKA learning outcomes and be able to design and implement technology-based learning in their respective schools. This study employs a Large Language Model (LLM)-based categorization technique to analyse the reflective content of SMA/SMK teachers in Malang City after attending the KKA training, aiming to identify their learning achievement levels and how they interpret their learning experiences. The dataset, consisting of presentation files in PDF and PPTX formats, was text-extracted, processed by the LLM, categorized into ten main themes in JSON format, and visualized as a mind map using Mermaid scripts. The findings demonstrate that the LLM effectively performs consistent semantic categorization on unstructured reflective data and produces visual representations that facilitate the interpretation of learning achievements. Content analysis of teacher reflections reveals strong motivation to enhance digital and pedagogical competencies, successful implementation of project-based learning, and emerging challenges related to student scepticism toward AI adoption in art and design education. Furthermore, the comparison between a general-purpose LLM (GPT-OSS) and coder-type LLMs (such as GLM-4.6:Coder and Qwen3-Coder) indicates comparable accuracy in generating JSON structures and Mermaid scripts. However, the non-coder LLM exhibits greater stability in maintaining contextual coherence and processing speed. These findings highlight the potential of LLMs in analysing reflective educational data and underscore the need for pedagogical adaptation and continued digital competence development among teachers toward AI-driven educational independence.
Pengembangan Digital Learning Hub ‘Sijawara’ Bagi Koperasi Desa Merah Putih di Jawa Timur Kristomoyo Kristanto, Bagus; Kartikasari, Meivi; Handoko Retrianto, Doni; Bashroni, Mahdi
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.71941

Abstract

Koperasi Desa Merah Putih (KDMP) merupakan program prioritas dan strategis yang dikoordinasi langsung oleh Kementerian Koperasi Republik Indonesia sesuai dengan Rencana Pembangunan Jangka Menengah 2025-2029 dan Panjang tahun 2025 – 2045. Program pengembangan koperasi di setiap desa dengan keunggulan lokal diharapkan meningkatkan ekonomi lokal yang berdaya saing global. Program baru dan pembentukan badan usaha koperasi ini perlu adanya kemampuan pengelolaan, kemampuan bisnis dan berdaya saing untuk setiap koperasi agar dapat menghasilkan keuntungan lokal. KDMP yang ada di Jawa Timur menghadapi tantangan signifikan dalam mengakses pelatihan berkualitas yang relevan dan fleksibel. Keterbatasan waktu, biaya, dan fasilitas pendidikan formal menghambat peningkatan kapasitas bagi pengurus koperasi mereka. Penelitian ini merancang Digital Learning Hub ‘Sijawara’, sebuah platform pembelajaran daring yang bertujuan untuk mengatasi masalah tersebut dengan menyediakan akses mudah ke video, materi tertulis, dan soal latihan. Metodologi Agile Scrum diterapkan dalam pengembangan sistem ini, memastikan pengembangan yang adaptif dan berpusat pada kebutuhan pengguna. Sijawara menawarkan fitur kunci seperti kursus daring terstruktur, kemampuan pelacakan progres, dan sertifikasi yang diakui. Inovasi penelitian ini terletak pada fokus geografis spesifik KDMP Jawa Timur dan integrasi fitur sertifikasi yang dapat diakui oleh Unit Pelatihan Dinas Koperasi, memberikan validasi konkret atas keterampilan yang diperoleh.
IMPLEMENTASI ALGORITMA NAÏVE BAYES DALAM PENENTUAN PEMBERIAN BEASISWA KIP KULIAH (STUDI KASUS STIKI MALANG) Fitri Nuril Halizah, Cendikia; Kartikasari, Meivi
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.21889

Abstract

The Indonesia Smart College Card or often called KIP Kuliah is a government program bolawins in the form of educational assistance for high school, vocational or equivalent graduates who come from underprivileged families and have the achievements to be able to continue their studies at tertiary institutions. In order for the scholarship selection process to be right on target, it is necessary to create a system that can recommend participants who are eligible and who are not eligible to receive KIP Kuliah scholarships. This study aims to implement the Naïve Bayes algorithm in determining scholarship awards so that they are right on target. The Naïve Bayes method can help classify data on prospective recipients of KIP Kuliah scholarships. The criteria for determining the classification were obtained through several stages, namely, the results of file selection, online exams and interviews. The dataset used in this study is 100 scholarship recipient data. The accuracy level of implementing the Naïve Bayes algorithm after testing and calculating using the confusion matrix is 98.89%. So based on the results of the calculation suggests that the Naïve Bayes Classifier algorithm can be used to classify the criteria for the award of the KIP College scholarship.Keywords: Scholarship, KIP Kuliah, Classification, Naïve Bayes.
SISTEM INFORMASI PENILAIAN KINERJA PEGAWAI BERBASIS WEB SEBAGAI SOLUSI DIGITALISASI SDM Kartikasari, Meivi; Syntia Widyayuningtias Putri Listio; Bagus Kristomoyo Kristanto; Mahdi Bashroni Rizal
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 10 No 1 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/cj.v10i1.34627

Abstract

Employee performance assessment is a critical component of human resource management in any organization. However, many organizations still rely on conventional spreadsheet-based methods that result in calculation errors, delayed reporting, subjective evaluations, and data manipulation risks. This study presents the development of a web-based employee performance assessment information system using PHP and MySQL. The system accommodates three user roles: administrator, assessor, and employee. Black box testing across sixteen functional scenarios confirmed that all system features operated successfully. The system provides standardized evaluation criteria, automated scoring, real-time reporting, and centralized data storage, significantly improving objectivity, efficiency, and accountability in performance assessments.
Co-Authors Addin Aditya Arif Tirtana Aulia Agustina Anjani Bagus Bagus Kristomoyo Kristanto Bashroni, Mahdi Diah Arifah Dyan Bentar Bhaswara Siwi Eko Teguh Prasetyo Erni Yudaningtyas Ersandi Mukhibillah Fitri Nuril Halizah, Cendikia Fitri, Rohmatul Handoko Retrianto, Doni Hendy Rama Dhany Hilmi, Aulia Wahida Koko Wahyu Kristanto, Yosua Kristomoyo Kristanto, Bagus Kurniat Idaman Sukur Telaumbanua Kurniawan, Rahmat Mahdi Bashroni Rizal Mas, Abdul Ghoffar Mukhlis Amien Nira Radita Pertiwi, Ruly Anggraeni Ega Prasetyo, Eko Teguh Purnomo Budi Santoso Restu Ilham Firmansyah Robby Wahyu Nugroho Ruly Anggraeni Ega Pertiwi Saiful Yahya SITI AMINAH Siti Aminah Suaib, Ronalmanto Syntia Widyayuningtias Putri Listio Tama, Muhammad Mutammam Musthofa Tirtana, Arif Tubagus Mohammad Akhriza Yosua Kristanto