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All Journal Jurnal Teknoinfo Jurnal Abdi Insani G-Tech : Jurnal Teknologi Terapan Jurnal Sisfotek Global Infotech: Journal of Technology Information Academic Journal of Computer Science Research (AJCSR) Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR) JPEG
Ramdhan, Syaipul
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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The Development of an Illustrated Storybook about the Rain Cycle Using Digital Painting to Enhance Students' Learning Interest Ramdhan, Syaipul; Maisaroh, Siti; Saeful, Ahmad
JURNAL SISFOTEK GLOBAL Vol 15, No 2 (2025): 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.v15i2.16041

Abstract

While a wide variety of learning media exists today, each with its own strengths, this abundance can also be overwhelming for students, making it difficult to choose materials that are both effective and easy to understand. Currently, the learning media at SDN Curug 1 are often considered monotonous, relying heavily on text and featuring illustrations that do not adequately support the educational process. This research aims to transform the learning experience from tedious to engaging by developing an illustrated storybook about the rain cycle using digital painting techniques. The methodology employed includes observation, interviews, and a literature review, informed by expert sources and the specific conditions at SDN Curug 1. The primary outcome of this study is an illustrated storybook about the rain cycle. This book serves as a new educational tool for students at SDN Curug 1, designed to deepen their understanding of the subject matter and spark their interest in learning.
Teknologi Pembelajaran Interaktif Ekosistem Hewan Laut Dengan Metode Multiple Based Marker Berbasis Augmented Reality Maisaroh, Siti; Ramdhan, Syaipul; Khoirunisa, Alfiah; Kustina, Linda
Academic Journal of Computer Science Research Vol 6, No 1 (2024): 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.v6i1.10815

Abstract

Pendidikan berperan penting dalam meningkatkan kualitas hidup dan mengembangkan potensi manusia. Sebagai tulang punggung kemajuan suatu negara, pendidikan harus menjadi sarana yang menginspirasi rasa ingin tahu siswa. Salah satu misi pendidikan adalah menciptakan suasana belajar yang memikat, di mana guru menggunakan media pembelajaran yang tidak hanya efisien namun juga efektif dalam menyampaikan materi. Dalam menghadirkan konsep baru pada pengajaran ilmu pengetahuan alam, khususnya ekosistem hewan laut, teknologi Augmented Reality (AR) menjadi pilihan yang menarik. Melalui pengembangan aplikasi AR dengan pendekatan Marker Based Tracking, pencipta aplikasi bertujuan memberikan pengalaman belajar yang inovatif kepada siswa di SD Penerus Bangsa. Aplikasi ini tidak hanya menampilkan model 3D ekosistem hewan laut, tetapi juga menyertakan materi dan kuis interaktif. Dengan menerapkan metode ini, proses belajar mengajar di SD Penerus Bangsa menjadi lebih menarik, tidak monoton, dan meningkatkan efektivitas guru dalam menyampaikan informasi kepada siswa. Aplikasi AR ini dirancang tidak hanya untuk mempermudah pembelajaran, tetapi juga untuk merangsang minat siswa sehingga mereka dapat lebih aktif dan antusias dalam proses pendidikan mereka.
Pengenalan Internet of Things (IoT) Dasar Menggunakan Arduino di SMK Pancakarya Tangerang Ramdhan, Syaipul; Wicoksono, Wahyu; Saputra, Asep Rio; Eurico, Dimas; Herman, Azzra Mustaqhim
JURNAL PENGABDIAN GLOBAL Vol 4, No 2 (2025): Jurnal Pengabdian Global (JPEG)
Publisher : JURNAL PENGABDIAN GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/jpeg.v4i2.16009

Abstract

Perkembangan teknologi Internet of Things (IoT) semakin pesat dan menuntut kemampuan adaptasi di dunia pendidikan, khususnya di tingkat Sekolah Menengah Kejuruan (SMK). Namun, siswa SMK Pancakarya Tangerang masih mengalami keterbatasan dalam pemahaman dasar IoT dan pemanfaatannya melalui perangkat Arduino. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk memberikan pengenalan IoT dasar menggunakan Arduino serta pelatihan praktis melalui simulasi dengan platform Wokwi. Metode pelaksanaan mencakup sosialisasi, demonstrasi, praktik langsung, serta sesi diskusi interaktif untuk memperkuat pemahaman peserta. Hasil kegiatan menunjukkan bahwa siswa mampu memahami konsep dasar IoT, mengenal fungsi perangkat keras Arduino, serta mempraktikkan perancangan sistem sederhana melalui simulasi Wokwi. Respon positif dan antusiasme siswa menjadi indikator keberhasilan kegiatan, yang sekaligus menunjukkan pentingnya integrasi pembelajaran berbasis IoT dalam kurikulum SMK guna meningkatkan keterampilan dan kesiapan menghadapi tantangan teknologi di masa depan.
Classification of Remission Data for Prisoners in Tangerang Class IIA Correctional Institution using K-Nearest Neighbor Algorithm Refa Maulana Abdillah; Halim Agung; Syaipul Ramdhan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7532

Abstract

The classification of remission eligibility for prisoners is a critical issue in correctional institutions, as it directly impacts prison management and the rehabilitation process. Special remission is a reduction of sentence granted to prisoners based on specific criteria, including religious status and the type of remission granted. This research aims to address the challenge of classifying special remission data for prisoners at the Class IIA Tangerang Correctional Facility using the K-Nearest Neighbor (KNN) algorithm. The dataset used in this study includes four indicators: Length of Sentence, Remaining Sentence, Crime Type, and Risk Dimension, which are analyzed to predict the remission status to be granted. The KNN model, with a parameter of k=1, achieved an accuracy of 93.94%. However, the model struggled to accurately classify the "No Remission" class, resulting in failures to detect prisoners who are not eligible for remission. The data processing steps included converting categorical data into numerical format, data normalization, and splitting the data into training and testing sets. Model evaluation was conducted using Confusion Matrix, Precision, Recall, and F1-Score. The findings suggest that while the KNN algorithm can be effectively used to classify remission status, further improvements are needed to address class imbalance and optimize results.
Co-Authors A.A. Ketut Agung Cahyawan W Ade Mulyana, Ade Agustinus Sirumapea Arista Febrian Nugraha Azkia, Ainur Rifqi Baktiar, Nurul Ainun Dewi Masitoh Egga Asoka Eurico, Dimas Fiqih Hana Saputri, Fiqih Hana Fitri, Shafirah Halim Agung Hanafri, Muhammad Iqbal Herman, Azzra Mustaqhim Hidayat, Denny I Ketut Sudaryana, I Ketut Irawan, Feby Itarini, Dewi Julianti, M. Ramaddan Khoirunisa, Alfiah Kustina, Linda Mubarok, Syahrul Nisa, Kholifatun Nyi Dewi Puspitasari Padang, Nasrullah Mubarak Rahmat Hidayat Refa Maulana Abdillah Reynaldi Bagus Ferdiansyah Rismana, Deri Saeful, Ahmad Santoso, Yuli Saputra, Asep Rio Siregar, Shanti Ria Serepia Sirumapea, Agustinus Siti Aisah Siti Maisaroh Siti Maisaroh Siti Nur Janah, Siti Nur SOFIA, DETIN Sutarman Sutarman Tullah, Rahmat Wicoksono, Wahyu