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All Journal Jurnal Ilmiah Universitas Batanghari Jambi JSiI (Jurnal Sistem Informasi) Jurnal Tekno Insentif Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Multimedia bit-Tech Jurnal Sisfotek Global Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Tren Bisnis Global JPEG Jurnal Topik Global
M. Bucci Ryando
Institut Teknologi dan Bisnis Bina Sarana Global
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Aplikasi Mobile “saveRP”: Manajemen Keuangan Pribadi Dengan Fitur Perencanaan Anggaran Nurmaesah, Nunung; Ryando, M. Bucci; Batu Bara, Muhamad Aldi Mudin; Pudoli, Ahmad
Academic Journal of Computer Science Research Vol 7, No 1 (2025): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v7i1.15802

Abstract

Kurangnya literasi keuangan di kalangan masyarakat terutama pada siswa, menunjukkan perluasan kesenjangan dalam pemahaman keuangan yang sehat. Hal ini dapat membuat pengeluaran yang tidak efektif dan kurangnya pencatatan transaksi sering kali menjadi penyebab utama masalah keuangan. Penelitian ini bertujuan untuk mempermudah proses pencatatan dan pengelolaan keuangan pribadi secara efektif dan mudah. Metode penelitian dalam pembuatan aplikasi “saveRP” melibatkan observasi, wawancara, literature review dan kuesioner dengan tahapan perancangan aplikasi model waterfall. Dengan menggunakan aplikasi mobile “saveRP untuk mencatat dan mengelola pengeluaran pribadi ini rata-rata sebesar 91% dari 23 responden menunjukkan bahwa aplikasi ini mendapat respon positif sebagai media yang efektif mengelola keuangan pribadi. Maka, aplikasi mobile berbasis Android ini menjadi salah satu cara yang efektif dalam mengelola keuangan pribadi dengan mudah.
Analisis Performa Deteksi Penyakit Paru-Paru dengan Model Klasifikasi Gambar Menggunakan LSTM Deep Learning Anwar, Khoirul; Maruf, Rohim; Susanto, Fredy; Ryando, M. Bucci
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5697

Abstract

This research aims to analyze the performance of image classification models for lung disease detection using the long short-term memory (LSTM) deep learning method, and compare it with other methods such as convolutional neural networks (CNN). LSTM, which is commonly used in sequential data processing, is explored for its capabilities in handling medical imaging data. Performance comparisons are based on accuracy, precision, recall, and F1-score metrics, with data drawn from multiple sources of lung imaging datasets. The results of this study show that the LSTM method has certain advantages and disadvantages compared with CNN in terms of efficiency, detection accuracy, and generalization ability.
OPTIMALISASI PENGENDALIAN BIAYA PERSEDIAAN DENGAN METODE REORDER POINT UNTUK MEMINIMALKAN STOK MATI PADA APOTEK Haerunnisa, Siti; Syifa Aulia; M. Bucci Ryando; Triono
Jurnal Sistem Informasi Vol. 12 No. 1 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i1.10120

Abstract

Apotek merupakan toko yang menyediakan berbagai jenis obat-obatan dan memiliki peran penting dalam menyediakan obat yang dibutuhkan oleh masyarakat, dan melayani konsultasi kesehatan terkait penggunaan obat yang benar. Salah satu aktivitas rutin yang dilakukan oleh pihak apotek adalah stock opname. Proses stock opname ini bertujuan untuk memastikan bahwa tidak ada kekurangan atau kelebihan stok obat yang dapat mengganggu operasional apotek, serta untuk mencegah adanya barang kadaluarsa yang tidak terdeteksi. Stok mati merupakan kondisi dimana suatu produk yang ada dalam persediaan tidak terjual dalam jangka waktu yang lama. Stok mati seringkali berhubungan dengan pemborosan sumber daya, karena barang yang tidak terjual atau sudah rusak tetap memerlukan penyimpanan, yang pada akhirnya menambah biaya operasional dan merugikan bisnis. Tujuan dari penelitian ini adalah untuk mengoptimalkan pengendalian biaya persediaan di Apotek dengan menerapkan  metode Reorder Point (ROP) secara efektif, guna meminimalkan stok mati dan meningkatkan efisiensi operasional. Dengan memahami pola permintaan obat, Apotek dapat mengidentifikasi obat-obatan yang perlu diperoleh dalam jumlah lebih banyak (permintaan tinggi), sementara obat dengan permintaan rendah dapat dipesan dalam jumlah terbatas. Dengan memanfaatkan teknologi, dan penggunaan metode ROP diharapkan Perusahaan dapat dengan mudah mengoptomalkan pengelolaan persediaan, meminimalkan stok mati, meningkatkan efisiensi operasional, serta profitabilitas Apotek.
Enhancing Leave Management Systems with Design Thinking-Based UI/UX Development Ramadhanti, Nur Fairus; Sidik , Achmad; Ryando, M. Bucci
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2291

Abstract

This study addresses the inefficiencies in the employee leave management process of a company operating in both the service and manufacturing sectors, which currently relies on a manual, document-based system devoid of centralized data integration. Such a system has led to administrative bottlenecks, documentation inaccuracies, and reduced operational transparency, thereby hampering employee satisfaction and organizational productivity. To overcome these limitations, the Design Thinking methodology was adopted as a user-centered approach for the development of an intuitive and functional web-based leave management application. The research employed the five phases of Design Thinking—empathize, define, ideate, prototype, and test—to ensure that the system's design aligns with user expectations and organizational goals. Primary data were gathered through interviews and questionnaires administered to employees and human resource personnel, enabling the identification of key pain points in the existing workflow. A prototype was developed and subsequently evaluated using the System Usability Scale (SUS), a widely accepted instrument for measuring perceived usability. The system achieved a usability score of 87.45% based on responses from 10 users, indicating a high level of user satisfaction and system acceptance. These findings demonstrate the effectiveness of the Design Thinking approach in producing a leave management system that not only enhances administrative efficiency but also fosters a positive user experience. The study contributes to the growing body of literature on user-centered system design and provides a replicable framework for organizations seeking to digitally transform HR administrative functions through iterative, human-centered design methodologies.
PEMBELAJARAN PENGENALAN HEWAN PURBA BERBASIS AUGMENTED REALITY UNTUK MENINGKATKAN KEMINATAN BELAJAR SISWA Akbar, Muhammad Ikmal; Bijaksana, Rhafael; Bucci Ryando, Muhammad; Maesaroh, Siti
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 3 (2025): EDISI 25
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i3.5870

Abstract

Materi hewan purba merupakan topik yang menantang bagi siswa Taman Kanak-kanak karena memiliki konsep yang abstrak dan sulit dipahami tanpa dukungan visual yang memadai. Anak usia dini cenderung lebih mudah memahami pembelajaran melalui media visual dan interaktif, sehingga penyajian materi seperti hewan purba perlu disajikan secara menarik agar lebih mudah dimengerti. Pembelajaran konvensional yang mengandalkan buku dan kertas sangat bergantung kepada kemampuan guru dalam menyampaikan materi, yang berdampak langsung pada antusiasme, keaktifan, dan pemahaman siswa. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan teknologi Augmented Reality (AR) terhadap minat belajar siswa Taman Kanak-kanak dalam mempelajari materi tentang hewan purba. Penilitan ini dilakukan pendekatan kuantitatif deskriptif melalui beberapa tahapan yaitu Analisis Kebutuhan, Perencanaan, Pengembangan, Pelaksanaan dan Evaluasi. Pengumpulan data dilakukan melalui kuesioner disusun menggunakan bahasa yang mudah dipahami anak-anak. Hasil penelitian menunjukkan bahwa sebagian besar siswa memperlihatkan antusiasme tinggi saat belajar menggunakan teknologi AR. Visualisasi hewan purba yang tampak hidup dan dapat bergerak secara interaktif mampu membangkitkan rasa ingin tahu serta meningkatkan keterlibatan siswa dalam proses belajar. Dengan demikian, teknologi Augmented Reality terbukti menjadi alternatif metode pembelajaran yang efektif dalam meningkatkan minat belajar siswa Taman Belajar Anak Cirarab, terutama pada materi yang bersifat visual dan eksploratif seperti hewan purba.
Perbandingan Klasifikasi Tipe Kesuksesan Generasi Z Menggunakan Algoritma Naïve Bayes dan Decision Tree Novara Aulist Zakia; Ryando, M. Bucci; Agung, Halim
TEMATIK Vol. 12 No. 1 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i1.2334

Abstract

This study aims to classify the types of success of Generation Z using the CRISP-DM method approach and using the Naïve Bayes and Decision Tree algorithms. Generation Z who grew up in a digital environment has a unique view of the meaning of success, which is no longer limited to income or position, but also includes life balance and self-development. This study identifies several important factors such as educational background, technological skills, work experience, personal branding, and use of social media as determining variables in the classification of types of success. The classification model produces four main categories of success, namely financial, career, self-development, and life balance. The results showed that life balance was the most dominant category of success among respondents. The use of the Naïve Bayes and Decision Tree algorithms showed that Decision Tree with balancing techniques (random oversampling) provided the highest classification accuracy, which was 94%, compared to Naïve Bayes which only reached 37%. This study makes an important contribution to the development of human resource strategies, education, and policies that are relevant to the characteristics and aspirations of Generation Z in the digital era.
Multifactor Evaluation Process for a Decision Support System for Selecting the Best Students Ryando, M. Bucci; Ferawati, Ferawati; Iqbal, Muchamad; Setiawan, Prayoga
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10879

Abstract

The utilization of information systems can significantly contribute to enhancing efficiency and service delivery at MA Daarul Falah, an educational institution in Pondok Pesantren Daarul Falah. Previously, there were often issues with subjective assessment of high-achieving students and inadequate archiving of previous years' assessment records. This study aims to expedite the collection of student assessment data from each class, automate the student grading process, and improve the objectivity of the school's assessments of all students. The method employed in this research is the Multi-Factor Evaluation Process (MFEP), implemented using the PHP programming language. The results of the study indicate that students who receive a total evaluation score above 90.00 are considered eligible to serve at Pondok Pesantren Daarul Falah, while those who score below 90.00 are deemed ineligible to serve there.
Clustering of Eligibility and Characteristics of Smart Indonesia Card Recipients for College using Agglomerative Hierarchical Clustering Ryando, M. Bucci; Sutarman, Sutarman
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15707

Abstract

Since 2023, the Smart Indonesia Card or Kartu Indonesia Pintar-Kuliah (KIP-K) has two schemes. Consisting of KIP-K Scheme 1, where scholarship recipients are exempted from tuition fees and receive living allowances during the KIP-K scholarship period and KIP-K Scheme 2, where scholarship recipients are only exempted from tuition fees without receiving living allowances. Lack of information about the characteristics of prospective KIP-K scholarship recipients is a problem in itself. Many universities/institutions are not on target in providing this scholarship. This study aims to obtain clusters of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received and to obtain the characteristics of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received. This research method uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) approach consisting of the stages of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment and uses a combined method of Agglomerative Hierarchical Clustering with Average Linkage and uses the Calinski-Harabasz Index to test the validity of the cluster. The results of the study showed that the best cluster to explore was in 10 clusters with a Calinski-Harabasz Index value of 34.88236681148884. It was concluded that the feasibility of Scheme 1 KIP-K in cluster 8, 9 and 10.
Analisis Keamanan Website Global Academic Information System menggunakan OWASP ZAP dan Model AI Lokal Asep Rio Saputra; Bayu Irfan Aditya; Nova Teguh Sunggono; M. Bucci Ryando
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.759

Abstract

Academic websites serve as central platforms for managing higher education services, including academic records, financial data, and institutional communication. However, such systems are increasingly vulnerable to cyberattacks due to their internet exposure and insufficient protection against security flaws. This study proposes an integrated solution that combines automated scanning with OWASP ZAP and a local artificial intelligence model (Mistral) executed via the Ollama platform. The entire process is automated using Python scripting, covering stages such as spidering, active scanning, JSON result extraction, and AI-based mitigation recommendation generation. The research was conducted on the Global Academic Information System website. The scan results revealed a total of 193 vulnerabilities, including 4 high, 8 medium, 111 low, and 70 informational risks. Each vulnerability was analyzed using the local AI model to produce specific technical recommendations, such as adding security headers, implementing CSRF tokens, and configuring secure cookies. All outputs were automatically compiled into a structured Excel report suitable for developers. This approach proves effective in streamlining the security audit process, reducing manual workload, and preserving data privacy, as all operations are conducted locally without reliance on cloud services. The study demonstrates that integrating OWASP methods with local AI provides a practical, adaptive, and standalone solution for web application security testing.
Analisis Text Mining terhadap Penggunaan Paylater Menggunakan Naïve Bayes Classifier Ryando, M. Bucci; Iqbal, Muchamad; Syahidah, Kurnia
Jurnal Tekno Insentif Vol 19 No 2 (2025): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v19i2.2065

Abstract

Abstrak Popularitas Paylater sebagai metode pembayaran e-commerce pasca-pandemi di Indonesia meningkat pesat, namun disertai risiko utang konsumtif, khususnya di kalangan Generasi Z. Penelitian ini bertujuan menganalisis sentimen dan opini publik guna memahami faktor yang memengaruhi keputusan adopsi Paylater. Dengan menggunakan metode analisis sentimen berbasis Naïve Bayes Classifier terhadap data Twitter (kini X), penelitian ini mengklasifikasikan tanggapan masyarakat terhadap penggunaan Paylater. Model yang dibangun divalidasi dengan nilai F1-score 0.432 dan Precision 0.508. Hasil analisis menunjukkan mayoritas sentimen (50,75%) bersifat netral atau ambigu, mencerminkan adanya keraguan publik terhadap penggunaan layanan ini. Selain itu, ditemukan dominasi sentimen negatif yang menyoroti isu peningkatan utang, kesulitan mengelola keuangan, serta ketergantungan terhadap fasilitas kredit konsumtif. Penelitian ini berkontribusi dalam pemanfaatan text mining untuk memetakan persepsi Generasi Z terhadap adopsi Paylater, sehingga hasilnya dapat menjadi dasar bagi perusahaan fintech dalam merumuskan strategi pemasaran yang lebih bijak dan bertanggung jawab. Kata kunci: paylater, analisis sentimen, text mining, generasi z, naïve bayes classifier. Abstract The popularity of Paylater as an e-commerce payment method in post-pandemic Indonesia has grown rapidly but is accompanied by the risk of consumptive debt, particularly among Generation Z. This study aims to analyze public sentiment and opinions to understand the factors influencing Paylater adoption decisions. Using a Naïve Bayes Classifier-based sentiment analysis method on Twitter (now X) data, this research classifies public responses toward Paylater usage. The developed model was validated with an F1-score of 0.432 and Precision of 0.508. The results indicate that the majority of sentiments (50.75%) are neutral or ambiguous, reflecting public uncertainty toward the service. In addition, dominant negative sentiments were identified, highlighting issues such as increasing debt, financial management difficulties, and dependency on credit facilities. This study contributes to the use of text mining in mapping Generation Z’s perceptions of Paylater adoption, providing insights that can help fintech companies develop more responsible and ethical marketing strategies. Keywords: paylater, sentiment analysis, text mining, z generation, naïve bayes classifier.
Co-Authors Achmad Sidik Akbar, Muhammad Ikmal Arni Retno Mariana Asep Rio Saputra Batu Bara, Muhamad Aldi Mudin Bayu Irfan Aditya Bijaksana, Rhafael Dedi Dedi Dedi Dedi Eka Sumiati Ferawati Ferawati Ferry Maulana Ibrahim Fredy Susanto Haerunnisa, Siti Halim Agung Hidayatullah, Ilham Iqbal, Muchamad Khoirul Anwar Makmur Raya Marthin Piskana Maruf, Rohim Muhamad Naufal Robih Muhammad Haromaen Nabila Ana Mantika Nova Teguh Sunggono Novara Aulist Zakia Nur Asiyah Nurholipah Nurholipah Nurmaesah, Nunung Pudoli, Ahmad Rahmat Tullah Ramadhanti, Nur Fairus Raya, Makmur Ridwan Abdul Hakim Saepul Nazar Septihadi, Ali Nugroho Setiawan, Prayoga Sidik , Achmad Sidik, Achmad Siti Maesaroh Sri Rahayu Sutarman Sutarman Syahidah, Kurnia Syifa Aulia Tasya Amelia Tina Amalia Triono Triono Wahyu Nurifai Widiawati Widiawati Wira Hadinata Zainul Hakim