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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Informatika dan Teknik Elektro Terapan JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal AKP Metode : Jurnal Teknik Industri Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan JSFK (Jurnal Sains Farmasi & Klinis) JUPE : Jurnal Pendidikan Mandala Psychology, Evaluation, and Technology in Educational Research Jurnal Riset Pendidikan Kimia (JRPK) Amwaluna Jurnal Ekonomi dan Keuangan Syariah Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Abdi Masyarakat Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Inovasi Pembelajaran Kimia (Journal Of Innovation in Chemistry Education) Jurnal Inovasi Pendidikan MH Thamrin Journal of Electrical Engineering and Computer (JEECOM) Jurnal Evaluasi dan Pembelajaran J.Abdimas: Community Health Jurnal Administrasi Bisnis (J-Adbis) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Kajian Pembelajaran dan Keilmuan Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Pijar MIPA Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Tata Rias (JTR) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi JIFTECH: Journal Of Islamic Financial Technology Journal of Economics and Social Sciences Eduvest - Journal of Universal Studies International Education Trend Issues Applied Quantitative Analysis (AQA) Innovative: Journal Of Social Science Research Jurnal Administrasi Pendidikan Indonesia ILTEK : Jurnal Teknologi SAINTEK The Indonesian Journal of Computer Science Jurnal Tata Rias (JTR) Journal of Education and Computer Applications Journal of Computer Science Advancements
Achmad Ridwan, Achmad
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Predict Students' Dropout and Academic Success with XGBoost Ridwan, Achmad; Priyatno, Arif Mudi; Ningsih, Lidya
Journal of Education and Computer Applications Vol. 1 No. 2 (2024)
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jeca.v1i2.13

Abstract

The attrition rate of students in higher education is a worldwide issue that profoundly affects both individuals and institutions. Students who fail to complete their studies often encounter economic and social difficulties, while educational institutions suffer a deterioration in reputation and operational efficacy. This paper proposes the creation of a prediction model utilizing the XGBoost algorithm to assess students' academic progress and dropout risk. The model incorporates several elements, such as academic, demographic, and socio-economic, to yield comprehensive insights into students' educational trends. This research utilizes the Predict Students' Dropout and Academic Success dataset, comprising 4,424 data points and 36 attributes. The data underwent normalization via StandardScaler and was divided into five scenarios for training and testing, ranging from a 50:50 to a 90:10 split. The evaluation of the model was conducted utilizing accuracy, precision, recall, and F1-Score criteria. The findings indicate that the model attains peak performance in the 80:20 scenario, exhibiting 88% precision and an 81% F1-Score, signifying an ideal equilibrium between predictive accuracy and risk identification capability. This study demonstrates that XGBoost can serve as a dependable predictive instrument to aid decision-making in the education sector. These findings establish a foundation for formulating targeted interventions aimed at enhancing student retention. Subsequent study may investigate the use of real-time data and sophisticated models to enhance predictive accuracy.
Fraud Pentagon Terhadap Kecurangan Laporan Keuangan Dengan Intellectual Capital Sebagai Mediasi Dan Manajemen Laba Sebagai Moderasi Achmad Ridwan; Ridwan, Achmad
Jurnal Administrasi Bisnis Vol. 3 No. 1 (2023): Mei 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jab.v3i1.1959

Abstract

Penelitian ini bertujuan untuk memberikan bukti empiris pada fraud risk factor dalam fraud pentagon demi mendeteksi kecurangan laporan keuangan menggunakan perhitungan beneish. Penelitian ini menggunakan sampel yang terdiri dari 240 laporan keuangan perusahaan pada tahun 2017-2021 dengan 73 laporan keuangan perusahaan terindikasi melakukan fraud. Teknis analisis data dalam penelitian ini menggunakan metode Partial Least Square. Hasil penelitian memberikan bukti bahwa tekanan (dengan proksi stabilitas keuangan dan ROA) rasionalisasi, arogansi, intellectual capital, dan non discretionary accrual memiliki pengaruh terhadap kecurangan laporan keuangan dengan tingkat signifikan sementara kapabilitas, dan kesempatan (dengan proksi ineffective monitoring) tidak memiliki pengaruh signifikan. Sementara itu, ROA ketika dimediasi oleh intellectual capital, ineffective monitoring dan kapabilitas ketika dimoderasi oleh non discretionary accrual memiliki pengaruh terhadap kecurangan laporan keuangan dengan tingkat signifikan pada perusahaan sektor infrastruktur, utilitas, dan transportasi di Indonesia yang telah listing di Bursa Efek Indonesia.
RANCANG BANGUN SISTEM REKOMENDASI BUKU BERBASIS ITEM-BASED COLLABORATIVE FILTERING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS Saputra, Vernanda Sam; Ridwan, Achmad; Pratama, Taftazani Ghazi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5995

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem rekomendasi buku dengan metode item-based collaborative filtering menggunakan algoritma K-Nearest Neighbors. Algoritma K-Nearest Neighbors dipilih karena K-Nearest Neighbors memiliki kemampuan dalam mengukur kesamaan antar item berdasarkan perhitungan jarak, sehingga menghasilkan rekomendasi yang relevan bagi pengguna. Menggunakan metode yang melibatkan pengolahan data rating pengguna terhadap buku, diikuti dengan pembentukan model menggunakan pendekatan item-based untuk menemukan buku-buku yang serupa. Pengujian model dilakukan menggunakan teknik cross-validation dengan evaluasi metrik Root Mean Square Error dan Mean Absolute Error untuk mengukur akurasi rekomendasi. Dari penelitian ini, hasil pengujian menunjukkan bahwa model yang diusulkan memiliki tingkat akurasi yang baik, dengan nilai rata-rata RMSE sebesar 0.8191 dan MAE sebesar 0.6235. Sistem ini diharapkan dapat meningkatkan pengalaman pengguna dalam menemukan buku-buku yang sesuai dengan preferensi pengguna, serta memberikan kontribusi signifikan dalam pengembangan sistem rekomendasi berbasis machine learning.
Pengaplikasian Manajemen Keuangan Melalui Pendampingan Penyusunan Laporan Keuangan Sederhana bagi UKM Batik Bakaran Kabupaten Pati Susanti, Diah Ayu; Fithri, Diana Laily; Ridwan, Achmad; Winarso, Rochmad; Gunawan, Budi; Mulyani, Sri; Nugraha, Fajar
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 15, No 3 (2024): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v15i3.19865

Abstract

Laporan keuangan merupakan bagian penting dalam mengelola serta menjalankan usaha, baik usaha skala besar maupun kecil seperti UMKM, dengan laporan keuangan pemilik usaha dapat mengambil keputusan yang tepat bagi usaha yang dijalankan. Tetapi tidak sedikit UMKM yang tidak melakukan pencatatan laporan keuangan karena dianggap sulit dan membutuhkan waktu lama. UMKM yang menjadi mitra adalah UKM Batik Bakaran Misih dan UKM Batik Bakaran Yuliati Warno. Tujuan pengabdian pada UKM Batik Bakaran Juwana adalah memberikan suatu pemahaman bagi pengrajin batik mengenai pentingnya manajemen keuangan khususnya pencatatan keuangan sehingga mitra dapat mengimplementasikan pencatatan keuangan pada kegiatan usaha yang dijalankan. Metode yang digunakan dalam kegiatan pengabdian ini di antaranya diskusi dengan mitra masalah yang dihadapi, pemaparan materi mengenai manajemen keuangan serta praktik dan simulasi pencatatan keuangan sederhana sesuai dengan transaksi yang digunakan dalam kegiatan usahanya, yang terakhir diskusi dan tanya jawab terkait materi yang belum dipahami oleh mitra. Hasil dari kegiatan pengabdian ini mitra dapat melakukan pencatatan keuangan sederhana dengan baik sesuai dengan standar akuntansi keuangan sehingga mitra dapat mengetahui laba rugi yang diperoleh, laporan perubahan modal serta laporan posisi keuangan sehingga mitra dapat mengetahui kondisi keuangan usahanya serta dapat mengetahui keuntungan yang didapatkan setiap bulannya.
PRACTICING DESIGN THINKING TO IGNITE STUDENT CREATIVITY IN RESPONSE TO RENEWABLE ENERGY ISSUES Ghufrooni, Rifqi; Rahmawati, Yuli; Ridwan, Achmad
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 1 (2024): Volume 7 No 1 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i1.25089

Abstract

Penelitian ini bertujuan mengivestigasi penerapan design thinking dalam merespon isu energi terbarukan untuk membangkitkan kreativitas siswa. Studi ini menantang siswa untuk menjawab masalah user (driver online) berkaitan dengan energi melalui tahap empati, define, idate, prototype dan testing. Sebanyak 36 siswa kelas 10 di sebuah sekolah menengah atas negeri di Jakarta diteliti secara kualitatif dengan menggunakan berbagai teknik pengumpulan data, termasuk wawancara semi terstruktur, jurnal reflektif, observasi kelas, catatan lapangan, dan tes formatif yang dibangun atas indikator kreativitas oleh Susan M. Brookhart meliputi variasi ide dan konteks, variasi sumber, menyusun dan mengkombinasikan ide, dan mengkomunikasikan sesuatu yang baru. Hasil penelitian menunjukkan indikator kreativitas yang paling berkembang selama penelitian adalah variasi ide dan konteks. Aktivitas design thinking mendorong peserta didik lebih percaya diri dalam berpendapat dan berinovasi. Hasil prototype tiap grup berhasil mengkonversi energi surya, energi kimia dan energi kinetik menjadi energi listrik dengan model yang berbeda. Nilai kebaharuan alat prototipe yaitu dapat berfungsi sebagai penghasil energi terbarukan. Kebermaknaan setiap alat dapat berfungsi menyediakan kebutuhan energi listrik untuk memperlancar dan meningkatkan produktivitas kerja. Penelitian lebih lanjut dapat dilakukan dengan mengevaluasi prototipe agar menghasilkan tegangan listrik yang stabil dan optimal. Topik lain berkaitan dengan sains dapat diterapkan dalam pembelajaran dengan tahap design thinking.
Use of Blockchain for Data Security in E-Government Systems Ridwan, Achmad; Maharjan, Kailie; Ulwi, Krim
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1624

Abstract

The increasing reliance on digital platforms for public administration has heightened concerns about data security in e-government systems. Cyber threats, unauthorized access, and data breaches pose significant risks to the integrity and confidentiality of sensitive governmental information. Blockchain technology, with its decentralized and tamper-proof nature, offers a promising solution for enhancing data security in e-government systems. This research explores the use of blockchain to safeguard data in e-government platforms, focusing on its potential benefits, challenges, and implementation strategies. The study adopts a mixed-method approach, combining a systematic literature review and expert interviews. The literature review analyzed 50 academic articles and industry reports, while interviews with 10 blockchain experts provided practical insights. Key factors such as data integrity, transparency, and access control were evaluated to determine blockchain’s effectiveness in addressing e-government security challenges. The findings reveal that blockchain significantly improves data security by ensuring immutability, enabling secure data sharing, and reducing reliance on central authorities. Experts highlighted blockchain’s potential to enhance transparency and accountability while maintaining privacy through cryptographic techniques. However, challenges such as high implementation costs, scalability issues, and regulatory uncertainties were identified as barriers to adoption. The study concludes that blockchain can revolutionize e-government data security by offering a robust and decentralized framework. Addressing the challenges of implementation and policy alignment will be critical for realizing its full potential. Future research should focus on pilot projects and sector-specific adaptations to accelerate blockchain adoption in e-government systems.
Mobile Application Design Based on Natural Language Processing to Improve the Quality of Health Services Ridwan, Achmad; Nizam, Zain; Satybaldy, Daniyar
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1626

Abstract

The increasing demand for efficient and personalized health services has driven the integration of advanced technologies into healthcare systems. Mobile applications leveraging natural language processing (NLP) offer promising solutions to improve patient communication, diagnostic accuracy, and service delivery. Despite advancements, challenges remain in developing user-friendly applications that address diverse healthcare needs. This research focuses on designing a mobile application based on NLP to enhance the quality of health services, emphasizing usability, accuracy, and accessibility. The study employs a user-centered design approach combined with experimental evaluation. The application was developed using Python-based NLP libraries, integrating features such as symptom analysis, medical query responses, and appointment scheduling. A prototype was tested with 150 participants, including patients and healthcare professionals, to evaluate performance metrics such as response accuracy, user satisfaction, and system reliability. The findings indicate that the NLP-based application achieved an 85% accuracy rate in interpreting medical queries and a 90% user satisfaction rate. Participants reported improved communication with healthcare providers and faster access to relevant medical information. However, challenges such as handling complex medical terminology and ensuring data privacy were noted. The study concludes that NLP-powered mobile applications have significant potential to improve health service quality by enabling efficient and accurate communication between patients and providers. Addressing challenges related to data security and expanding linguistic capabilities will be essential for future development. The research underscores the importance of integrating advanced technologies to meet the evolving needs of the healthcare sector.
Mentoring the Implementation of In-Depth Learning for High School and High School Plus Teachers at the Al-Ashriyyah Nurul Iman Foundation Tjalla, Awaluddin; Rahayu, Wardani; Sarifah, Iva; Ridwan, Achmad; Riyadi, Riyadi; Priyanto, Sugeng; Rini, Indah Mustika; Merrydian, Siska
Abdi Masyarakat Vol 7, No 2 (2025): Abdi Masyarakat
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/abdi.v7i2.9349

Abstract

This community service program was conducted in the framework of strengthening the professional competencies of high school teachers in the application of Deep Learning strategies. The target audience were teachers of SMA and SMA Plus at Yayasan Al-Ashriyyah Nurul Iman Islamic Boarding School – Parung, Bogor. The problems found included the lack of understanding and implementation skills related to deep learning-based learning strategies and assessment instruments. Through workshops, mentoring, and collaborative coaching methods, the teachers were guided to design and apply deep learning-based assessments. The results indicated an improvement in teachers' understanding and ability to implement deep learning assessments, as reflected in positive feedback in the satisfaction survey, the increased post-test scores and formation of professional traits based on teachers’ self-assessment. This program contributes significantly to pedagogical strengthening and the quality of learning in the Merdeka Belajar curriculum context.
Pengaruh Penerapan Teknologi Informasi dan Audit Internal terhadap Efektivitas Pengendalian Internal Persediaan Pada PT Sejahtera Berkat Mandiri Hutasoit, Marni; Riftiasari, Dinar; Ridwan, Achmad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1257

Abstract

This study is motivated by the ineffective internal control of inventory at PT Sejahtera Berkat Mandiri, which is attributed to the use of relatively basic technology and the suboptimal performance of internal auditors. This study aims to analyze the influence of information technology implementation and internal audit on the effectiveness of inventory internal control at PT Sejahtera Berkat Mandiri. The research is grounded in issues faced by the company, namely discrepancies between physical stock and system records, limited integration of information technology, and insufficient and non-comprehensive internal audit practices. A quantitative research method with a causal approach was employed. The study sample consisted of 75 respondents selected using total sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression tests. The results show that the implementation of information technology significantly affects the effectiveness of inventory internal control, with a significance value of 0.000 and a regression coefficient of 0.827. Internal audit also has a significant influence on the effectiveness of inventory internal control, with a significance value of 0.000 and a regression coefficient of 0.461. Furthermore, the simultaneous implementation of information technology and internal audit significantly influences the effectiveness of inventory internal control, with a significance value of 0.000.
PERAN LEMBAGA UJIAN DALAM PEMBELAJARAN DAN PENGAKUAN KUALIFIKASI: STUDI KOMPARATIF CISCE DAN GAOKAO/NEEA Arianda, Yoga Dwi; Nurcahya, Fikri; Ridwan, Achmad; Madani, Faisal; Suseno, Muchlas
Jurnal Administrasi Pendidikan Indonesia Vol. 16 No. 2 (2025)
Publisher : Pascasarjana Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jurnal_ap.v16i2.5656

Abstract

Assessment systems across countries often face challenges in balancing the functions of selection and learning. Examinations often focus on measuring learning outcomes without considering the accompanying pedagogical and social impacts. This study aims to critically analyze and compare the assessment systems implemented by the Council for the Indian School Certificate Examinations (CISCE) in India and the National Education Examinations Authority (NEEA)/Gaokao. This study uses a qualitative, comparative document analysis design to provide an in-depth understanding of the characteristics, principles, and implications of both institutions' assessment systems. The research subjects consisted of 32 official documents. Data were collected through documentation studies and in-depth interviews. The instrument was a validity analysis sheet containing four main components: content relevance, indicator clarity, source consistency, and theoretical relevance. Data analysis was conducted descriptively and analytically using thematic categorization techniques based on four main dimensions: assessment instrument development, system validity and reliability, impact on learning, and institutional credential recognition. The results show that the CISCE excels in curriculum flexibility, integration of formative assessment, and recognition of international credentials. In contrast, the Gaokao excels in mass selection efficiency and national standard consistency. This study concludes that an effective assessment system must balance selection and student potential development to avoid excessive academic pressure. The implications of this research emphasize the importance of developing a national assessment system that is equitable, relevant, and oriented toward lifelong learning
Co-Authors Abdillah, Nur Achmad Ridwan Ade Ima Afifa Himayati Adhi Saputra, Alfian Afriadi, Bambang Agung Prabowo Agung Prihandono Ahmad Arif Ahmad, Nurul Qomariyah Ahmad, Saiful Aman, Syahrial Amir Saleh Andika, Andika Prasetya Andy Wahyu Hermanto, Andy Wahyu Anita Nur Lely, Anita Nur Annisa, Cindy Ermintia Arianda, Yoga Dwi Arif Mudi Priyatno Arlinwibowo, Janu Asswan Cahyadi, Wendy Astika Tafrikul Khafidhoh, Astika Tafrikul Athiy Dina Rosihana Athoillah, Mohamad Anton Awaluddin Tjalla Baehaqi Barkah, Eka Budi Gunawan Cahyani, Septia Dwi Cikita Berlian Hakim Darmiyanti, Waskitarini Delima Sitanggang, Delima Desi, Desi Handayani Diana Laily Fithri Dinar Riftiasari Eko Widodo Fadilah, Astri FAISAL MADANI Fajar Nugraha Febri Dwi Anto, Febri Dwi Fida Maisa Hana Firmansyah, Nunung Agus Ghufrooni, Rifqi Gibran, M Khalil Gina, Abdul Ginting, Riski Titian Hamidaturrohmah, Hamidaturrohmah Hanifiyah, Izzatu Al Heri Pramono Putro, Heri Pramono HS, Christnatalis Hutasoit, Marni Ibnu Salman, Ibnu Iva Sarifah Josua, Dian Pertiwi Jovianto, Andrean Jubaedah, Dedah Jubaedah, Lilis Junirianto, Eko Komarudin Komarudin Kuncoro, Ignasius Dwi Kurniadewi, Fera Lanasari, Rossy Legiran Legiran Lestiono Libriansyah Ludmilla, Rafika Madewi, Astuti Maharjan, Kailie Manday, Dhanny Rukmana Maricar, Hudzaifah Muhammad Mastura, Mastura Merrydian, Siska Miharja, Muhammad Najamuddin Dwi Muadzah, Muadzah Muchlas Suseno Muhammad Najamuddin Dwi Miharja Muharam, Deni Muktiningsi, Muktiningsi Muktiningsih Nurjayadi Mulya Adhi Pradana, Fajar N. Nurjanah Nabila, Muthma'innatun Narulita, Lisa Ningsih, Lidya Nizam, Zain Noor Azizah Nugraheni, Ariyanti Sri Nurcahya, Fikri NURHIDAYATI, SAFITRI Nuridayanti, Nuridayanti Nurwijayanti Octiva, Cut Susan Othman, M.A. Perangin Angin, Despaleri Pratiwi, Cindya Yunita Pribadi, Januar Puspitaningtyas, Dyah Ayu Putri, Meilia Khasanah Raihanah, Dinnah Ramadhan, Fitri Nur Ramadhan, M. Irfan Rini, Indah Mustika Riyadi Riyadi Rizky Maulana, Rizky Rochmad Winarso Rohima , Azizah Aulia Rully Astri Hildayati Sabilla, Zahara Sam Saputra, Vernanda Saputra, Vernanda Sam Saputro, Yayan Adi Satybaldy, Daniyar Setiadi, Sandi Siregar, Saut Dohot Siti Azizah Soma Setiawan Ponco Nugroho Sri Mulyani Sudarmoyo, Dhadhang Tri Sugeng Priyanto, Sugeng Suharjono, Suharjono Suprapto Suprapto Susanti, Diah Ayu Susilo, Ahmad Dwi Taftazani Ghazi Pratama Tengku Riza Zarzani N Togar Timoteus Gultom Trihadi Prasetya, Trihadi Ully Muzakir Ulwi, Krim Utami, Eli Wahyu Budiarto, Balla Wahyu Sri Astutik Wardani Rahayu Wawan Saputra Wella, Wella Aulia Putri Wibowo, DS Drajad Widyadi, Elvan Dwi Wijaya, Dedy Achmat Yennimar, Yennimar Yoga Tri Nugraha Yuli Rahmawati Yunida, Helvy Yunita Nita Yunus Mustaqim, Yunus Yusmaniar Yusmaniar Yuyun dwi astutik, Yuyun dwi