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All Journal TEKNIK INFORMATIKA Publikasi Pendidikan Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding SNATIF RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Martabe : Jurnal Pengabdian Kepada Masyarakat JURIKOM (Jurnal Riset Komputer) Systemic: Information System and Informatics Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Bakti Cendana: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Indonesian Journal of Technology, Informatics and Science (IJTIS) Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia DEVICE Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Dialektika Informatika (Detika) Jurnal Info Sains : Informatika dan Sains TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Informatics and Enginering Dedication Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) International Journal of Science and Environment Jurnal Indonesia : Manajemen Informatika dan Komunikasi INOVTEK Polbeng - Seri Informatika Jurnal Bina Informatika dan Komputer (BINER)
Rizkysari Meimaharani
Universitas Muria Kudus
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 Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Physics Social Sciences Other

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PERBANDINGAN MODEL DECISION TREE, RANDOM FOREST, DAN SVM PADA ANALISIS SENTIMEN BERBASIS ASPEK KOMENTAR FILM JUMBO Heru Teguh Apriyanto; Ahmad Abdul Chamid; Rizkysari Meimaharani
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 1 (2026): JATI Vol. 10 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i1.16678

Abstract

Industri perfilman Indonesia, khususnya genre animasi, mengalami perkembangan signifikan dengan kehadiran film "Jumbo" (2024). YouTube sebagai platform utama diskusi film menghasilkan ribuan komentar tidak terstruktur yang menyulitkan pemahaman objektif terhadap persepsi publik pada aspek-aspek spesifik film seperti cerita, visual, musik, dukungan, dan perbandingan. Penelitian ini bertujuan mengidentifikasi aspek yang paling banyak dibahas dan membandingkan performa tiga algoritma machine learning (Decision Tree, Random Forest, dan SVM) dalam mengklasifikasikan sentimen berbasis aspek. Menggunakan Aspect-Based Sentiment Analysis (ABSA) dengan pendekatan lexicon-based untuk pelabelan sentimen. Sebanyak 7.906 komentar dikumpulkan dari lima kanal YouTube, diproses melalui preprocessing, identifikasi aspek berdasarkan kata kunci, pelabelan sentimen, dan ekstraksi fitur TF-IDF. Tiga model klasifikasi dilatih dan dievaluasi pada 4.082 komentar berlabel. Decision Tree mencapai performa terbaik dengan rata-rata akurasi 91,0%, tertinggi pada aspek cerita_emosi (99,6%) dan terendah pada musik (78,9%). Aspek dukungan_apresiasi paling dominan (1.797 komentar, 88,7% sentimen positif), mengindikasikan respons positif publik. Penelitian ini memberikan wawasan objektif persepsi audiens dan membuktikan efektivitas ABSA untuk analisis ulasan film Indonesia
Sistem Informasi Pembayaran Berbasis Website Untuk Efisiensi dan Transparansi Administrasi Kos Puri Delima Dersalam Enno Siti Nurainin; Rizkysari Meimaharani; Ahmad Abdul Chamid
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.v5i1.12367

Abstract

Penelitian ini dilakukan untuk mengatasi permasalahan administrasi pembayaran kos di Kos Puri Delima Dersalam yang sebelumnya masih dilakukan secara manual melalui buku catatan dan konfirmasi pesan WhatsApp, sehingga sering menimbulkan kesalahan pencatatan, keterlambatan rekap data, serta kurangnya transparansi informasi bagi penghuni. Untuk menyelesaikan permasalahan tersebut, dikembangkan sistem informasi pembayaran kos berbasis website yang mampu mengelola data penghuni, kamar, tagihan, dan pembayaran secara terpusat. Penelitian ini menggunakan metode Waterfall, meliputi analisis kebutuhan, perancangan dengan Flowchart, Data Flow Diagram (DFD), dan Entity Relationship Diagram (ERD), implementasi menggunakan PHP dan MySQL, serta pengujian sistem melalui metode Black Box. Hasil implementasi menunjukkan bahwa fitur-fitur utama seperti pembuatan tagihan otomatis, unggah bukti pembayaran, verifikasi pembayaran oleh admin, dan penyajian laporan pembayaran dapat berfungsi dengan baik sesuai kebutuhan pengguna. Pengujian Black Box juga menunjukkan bahwa seluruh proses berjalan sesuai spesifikasi. Sistem ini mampu meningkatkan efisiensi, akurasi, dan transparansi dalam proses pembayaran kos, sehingga dapat menjadi solusi digital yang layak untuk mendukung pengelolaan administrasi kos secara lebih modern dan terstruktur.
Implementasi Metode Forward Chaining untuk Rekomendasi Jurusan Perguruan Tinggi Berdasarkan Minat dan Bakat MA XYZ Shofa Allaisya; Aditya Akbar Riadi; Rizkysari Meimaharani
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9463

Abstract

Choosing a college major is a crucial decision for final year students as it impacts their academic success and future career paths. However, the process of selecting a major is often carried out without objectively considering students' interests and talents, which can lead to mismatches in the learning process. This study aims to develop an expert system-based college major recommendation system using the Forward Chaining method to analyze students' interests and talents. Interest and talent data are obtained through questionnaires filled out by students independently through the system, then used as the initial basis for the conclusion-making process. The knowledge base is structured in the form of IF–THEN rules that link interest and talent characteristics with specific majors and their respective weights. The inference process is carried out by matching existing facts with available rules to produce a suitability score for each major. The results of the study show that the system is able to provide logical and structured major recommendations according to students' interest and talent profiles. The results of system testing on student data indicate that the system is able to produce logical and consistent major recommendations. Functional testing using the Black Box Testing method shows a success rate of 100%, indicating that all system functions run according to the specified requirements.
Design and Build a Web-Based Digital Thrifting Product Marketing System at Muhhasecond Vriska Ruli Amanda; Rizkysari Meimaharani; Ahmad Jazuli
International Journal of Science and Environment (IJSE) Vol. 6 No. 1 (2026): February 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i1.420

Abstract

The thrifting industry or the sale of used products that are suitable for use is growing in Indonesia, especially among the younger generation. However, most thrifting business actors still use manual marketing through social media, so market reach is limited, transaction recording is less systematic, and product data management is inefficient. This research aims to design and build a web-based thrift product marketing system on Muhhasecond as a solution to improve the effectiveness of promotions and sales processes. The developed system provides a structured product catalog, ordering features, and automatic management of sales data and reports for admins. The research method uses the Waterfall model, including needs analysis, design, implementation, testing, and maintenance. The expected result is a web-based application that is able to expand marketing reach, increase operational efficiency, and support the competitiveness of Muhhasecond's thrifting business in the face of digital developments.
Co-Authors Abdul Aziz Abdul Aziz Aditia Ananda Sutrisno Aditya Akbar Riadi Ahmad Abdul Chamid Ahmad Ahsana Taqwim Ahmad Bagus Maskula Ahmad Jazuli Alif Catur Murti Anastasya Latubessy ardiansyah, bangga aditya Devi Aprilliana Sari Diana Laily Fithri Dony Setiawan Endang Supriyati Enno Siti Nurainin Esti Wijayanti Esti Wijayanti, Esti Firman Adi Nur Fatin hafidz arifanto Hanik Hidayati Heru Teguh Apriyanto Hidayat, Amrul Rais Jannah, Zuliana Nurul Kelana, Derta Bathinko Geta Putra Khotimah , Tutik Listiyani, Nindy Aprilia Luthfi, Abdullah Mohammad Ghufron, Mohammad Muhammad Abdullah Muthik Muhammad Imam Ghozali Mukhamad Nurkamid Muzaki, Muhammad Prasetyo, Herlambang Dwi Ratih Nindyasari Rizq Alwan Fauzan Romadhoni, Muhammad Arbiter Syahrul Rosvika Dwi Umanisti Shofa Allaisya Sifauttijani, Faris Sifauttijani, Faris Syafiul Muzid Syaiful - Syaiful - Syaifur Rochman Tri Listyorini Tutik Khotimah Vriska Ruli Amanda Wahda, Muhammad Jumal Wahda, Muhammad Jumal Wicaksono, Yoga Adi windu aji pramudya Zuliana Nurul Jannah