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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika dan Teknik Elektro Terapan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Teknologi Terpadu IJEEIT : International Journal of Electrical Engineering and Information Technology JUSIM (Jurnal Sistem Informasi Musirawas) JASF (Journal of Accounting and Strategic Finance) bit-Tech Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Penelitian Inovatif JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Adopsi Teknologi dan Sistem Informasi Engagement: Jurnal Pengabdian Kepada Masyarakat
Wati, Seftin Fitri Ana
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Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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ANALISIS SENTIMEN ULASAN PENGGUNA ACCESS BY KAI MENGGUNAKAN METODE WORD2VEC DAN ALGORITMA SVM Devi, Ditha Lozera; Arifiyanti, Amalia Anjani; Wati, Seftin Fitri Ana
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4892

Abstract

Beberapa ulasan dari pengguna KAI Access menyatakan sering terjadi gangguan pada saat pemesanan tiket. Hingga akhirnya pada tanggal 10 Agustus 2023 PT Kereta Api Indonesia melakukan peluncuran aplikasi Access by KAI sebagai bentuk upgrade dari aplikasi sebelumnya. Dengan adanya ulasan yang diberikan pengguna untuk aplikasi, perlu dilakukan analisis sentimen untuk melihat bagaimana pendapat dan reaksi pengguna dalam menggunakan aplikasi Access by KAI. Data ulasan pengguna diambil dari Google Play Store dan App Store. SEMMA dipilih sebagai metode pengembangan model data mining dengan tahapan dimulai dari Sample, Explore, Modify, Model, dan Assess. Analisis sentimen dilakukan dengan menggunakan metode Word2vec (CBOW dan Skip-gram) sebagai metode ekstraksi fitur dan 4 kernel SVM yang digunakan yaitu kernel linear, kernel polynomial, kernel RBF, dan kernel sigmoid. Hasil dari delapan skenario model klasifikasi yang dilakukan dengan menggabungkan metode Word2vec dan algoritma Support Vector Machine, dihasilkan satu skenario terbaik yaitu skenario model yang menggunakan algoritma SVM kernel RBF dengan metode Skip-Gram ditambah metode oversampling SMOTE dihasilkan nilai akurasi 81% dan nilai AUC sebesar 0.81.
Enhancing Accountability and Governance in Local Communities through ISAK 335 Financial Systems Yuhertiana, Indrawati; Indah kirana, Nanda wahyu; Hardjatie, Susi; Tannar, Oriza; Wati, Seftin Fitri Ana; Edo, Kalvin; Suryaningrum, Diah Hari
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): November 2025
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v9i2.1978

Abstract

This study explores the application of digital financial systems grounded in ISAK 35 to enhance accountability and governance within the RW 02 community in Kelurahan Kalisari, Surabaya. The program employed a Community-Based Research (CBR) methodology to rectify inefficiencies in manual financial reporting by implementing a digitalized system, concurrently including stakeholders in a participatory framework. The project produced substantial results, such as heightened community trust, improved decision-making via precise financial reporting, and augmented donor confidence in fund management. Nonetheless, obstacles such as disparate digital literacy levels and the maintenance of prolonged involvement surfaced, underscoring the necessity for intuitive solutions and specialized capacity-building initiatives. By incorporating lessons learned into academic curricula and utilizing participatory monitoring and evaluation, the initiative connected theory with practice. This effort provides critical insights for policymakers and practitioners, highlighting the significance of transparency, community empowerment, and scalable solutions in financial governance. Subsequent study must concentrate on guaranteeing sustainability and investigating the applicability of analogous systems in various circumstances. The project produced substantial results, such as heightened community trust, refined decision-making via precise financial reporting, and augmented donor confidence in fund administration.
Development of Sales Forecasting and Stock Optimization System Using Least Square and Safety Stock Gosal, Andika; Putra, Agung Brastama; Wati, Seftin Fitri Ana
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3388

Abstract

The ongoing digital transformation across business sectors has encouraged micro and small enterprises to adopt information systems that enable accurate data processing and more strategic decision-making. CV. Ragam Jaya is one such business that still depends on manual processes for recording sales transactions and monitoring inventory, resulting in inconsistent stock data, delayed reporting, and limited capability to analyze demand patterns. To address these challenges, this study develops a web-based forecasting and inventory optimization system that integrates Least Square–based demand prediction with Safety Stock calculations. The Rapid Application Development (RAD) framework is utilized to accelerate system construction through iterative prototyping and continuous user involvement. Data were collected through interviews and direct observations to capture operational issues in the existing workflow. The system provides automated forecasting, inventory management, and stock buffer recommendations, enabling users to interpret demand trends more effectively. Experimental evaluation shows that the forecasting module achieves stable trend estimation with an average deviation of less than 8% from historical sales data, indicating strong alignment with actual demand behavior. Blackbox testing was conducted on core modules transactions, forecasting, reporting, and stock optimization and all tests achieved a 100% pass rate, demonstrating consistent system reliability and robustness. The integration of Least Square forecasting and Safety Stock significantly improves inventory planning accuracy by reducing manual discrepancies and supporting timely replenishment decisions. Overall, the developed system is effective in enhancing operational efficiency, minimizing human error, and improving stock control for small distribution businesses seeking to transition toward digitalized management practices.
Co-Authors Abdul Rezha Efrat Najaf Agung Brastama Putra Ahsana, Syauqillah Hadie Amalia Anjani Arifiyanti Amalia Putri, Amalia Anastasia Lidya Maukar Andhyni, Cyntia Prisya Anik Vega Vitianingsih Anik Vega Vitianingsih Barmin, Aidah Maryam Condro Widodo, S.E., M.S.A Devi, Ditha Lozera Dhian Satria Yudha Kartika Diah Hari Suryaningrum DWI CAHYONO Edo, Kalvin Endah Susilowati Fardhan Maulana, Abelardi Fitri, Anindo Saka Gosal, Andika Hamidan, Rusdi Hardjatie, Susi Ignathia Martha Hendrati Indah kirana, Nanda wahyu Indrawati Yuhertiana Iqbal Ramadhani Mukhlis Izaak, Wilma Cordelia Karin, Ayu Andhini Mutya KRISTIAWAN KRISTIAWAN Lidya Maukar, Anastasia Muzaki, Mochammad Rizki Nabila, Achmad Wildan Narendra, Efriza Cahya Nisrina, Nasywa Oktafamero, Yomara Pradana, Dwifa Yuda Pramudita, Krisna Eka Pranata, Alfiansyah Adi Priyanto, Moh. Azzam Putri, Dinda Adisty Yudianto RahmaPutri, Mariska Regina Rijal, Khaidar Ahsanur Ristias, Arsya Amalia Romadhoni, Moh raihan Sabrina, Venira Citra Slamet Kacung, Slamet Slamet Riyadi, Slamet Riyadi Sucahyati, Diarany Sukiswo, Helmy Wahyu Suryo Widodo Tannar, Oriza Thabibi, Hilmi Tri Puspa Rinjeni Ullum, Choirul Wahyuni, Eka Dyar Wibowo, Nur Cahyo Wijaya, Raden Muhammad Syah Arief Atmaja Wikaningrum, Anggit Yasin, Verdi