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All Journal Jurnal Harpodon Borneo EDUTECH: Jurnal Ilmu Pendidikan dan Ilmu Sosial Indonesian Journal on Computing (Indo-JC) Jurnal Pendidikan (Teori dan Praktik) Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL INSTEK (Informatika Sains dan Teknologi) International Conference of ASEAN Prespective and Policy (ICAP) Technologia: Jurnal Ilmiah JPIn : Jurnal Pendidik Indonesia Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Lifelong Learning (JOLL) Jurnal Dinamika Informatika (JDI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Bestari: Jurnal Pendidikan dan Kebudayaan JP (Jurnal Pendidikan) : Teori dan Praktik Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Empowerment and Community Service Journal of Vocational, Informatics and Computer Education Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat JURNAL RUMPUN MANAJEMEN DAN EKONOMI International Journal of Science and Mathematics Education Jipmas : Journal Inovasi Pengabdian Masyarakat J-CEKI AUFKLARUNG: Jurnal Kajian Bahasa, Sastra Indonesia, dan Pembelajarannya
NUR ALAMSYAH
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Pengaruh Model Pembelajaran Problem Based Learning Terhadap Hasil Belajar Siswa SMAN 11 Maros Wahidatul Munandar; Andi Gunawan Azis; Nur Alamsyah; Anin Asnidar
MENGABDI : Jurnal Hasil Kegiatan Bersama Masyarakat Vol. 1 No. 6 (2023): Desember : MENGABDI : Jurnal Hasil Kegiatan Bersama Masyarakat
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mengabdi.v1i6.319

Abstract

Student learning outcomes are the output of the teaching and learning process. One of the problems in learning at school is the low student learning outcomes. This can be known from the initial data on the value of the diagnostic analysis results. Many factors influence learning outcomes, one of which is the learning model. The Problem Based Learning Model is an innovative learning model that requires students to be active and motivate students so that they can support and help each other in mastering the subject matter being studied. Research procedures include the observation stage, preparation stage, implementation stage and evaluation stage. The population and sample in this research were 28 students of class XI MIPA 1 SMAN 11 MAROS. The sampling technique in this research used a saturated sampling technique.
PERANCANGAN PROTOTYPE UNMANNED AERIAL VEHICLE (UAV) BERBASIS QUADCOPTER SEBAGAI SISTEM KEAMANAN GEDUNG NUR ALAMSYAH; ROSMIATI; HARIANI
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 7 No 1 (2022): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v7i1.28866

Abstract

Penelitian ini bertujuan untuk menghasilkan prototype Unmanned Aerial Vehicle (pesawat tanpa awak) berbasis quadcopter sebagai sistem pemantau keamanan gedung. Alat ini dirancang dan dibuat untuk membantu perusahaan / organisasi dalam menjaga sistem keamanan gedung. Penelitian ini merupakan jenis penelitian Research and Development (R&D) dengan menggunakan model Analysis, Design, Development, Implementation, and Evaluation (ADDIE). Perancangan alat ini dilaksanakan dalam 5 (lima) tahapan, yaitu : analisis kebutuhan prototype UAV, menentukan desain UAV, merancang prototype UAV, ujicoba prototype UAV dan implementasi prototype UAV. Adapun yg diujikan dalam uji coba prototype UAV ini adalah koneksi pesawat ke remote, koneksi kamera ke virtual reality, durability, manuver dan aerodinamis. Kata Kunci : Unmanned Aerial Vehicle, Quadcopter, Sistem Keamanan
Tantangan dan Peluang Gen Z Menjadi Agripreneur di Era Marketplace Digital Setiana, Elia; Budiman; Nur Alamsyah; S.W. Manurip, Atanasius Angga
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v4i1.141

Abstract

Generation Z, raised in the digital era, holds significant potential to drive transformation in the agricultural sector through agripreneurship. However, alongside the rapid development of technology and digital marketplaces, they also face various notable challenges. This study explores the barriers faced by Gen Z in initiating and developing agribusiness ventures, including limited access to capital, lack of technical agricultural knowledge, and insufficient mentorship from industry players. On the other hand, there are numerous opportunities to seize, such as easier market access through digital platforms, rising consumer demand for healthy and organic products, and increasing government support for agricultural startups. By adopting adaptive, innovative, and collaborative approaches, Gen Z has a promising opportunity to become a key agent of change in building a modern and sustainable agricultural sector. This study aims to provide insights and strategic recommendations for stakeholders to encourage the emergence of young digital-based agripreneurs in Indonesia.
Optimizing Heart Disease Prediction : A Comparative Study of Machine Learning Models Using Clinical Data Budiman Budiman; Nur Alamsyah; Elia Setiana; Valencia Claudia Jennifer Kaunang; Syahira Putri Himmaniah
International Journal of Science and Mathematics Education Vol. 1 No. 4 (2024): December: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v1i4.96

Abstract

Cardiovascular disease is a leading cause of death globally, necessitating effective predictive systems. This research aims to analyze the effectiveness of various machine learning (ML) models—Logistic Regression (LR), Random Forest (RF), Naive Bayes (NB), Support Vector Classifier (SVC), and K-Nearest Neighbors (KNN)—in predicting heart disease using publicly available health data. The study involved pre-processing data, training models, and evaluating them using accuracy, precision, recall, F1-score, and G-Mean metrics. The results show that KNN is the most reliable model, with the highest accuracy of 92%. Significant health features were identified, such as chest pain type and maximum heart rate. The study contributes to improving clinical decision support systems by identifying optimal ML models for heart disease prediction.
Optimizing IT Remote Workers Mental Health Prediction using Feature Engineering Fikri Muhamad Fahmi; Budiman Budiman; Nur Alamsyah
International Journal of Science and Mathematics Education Vol. 2 No. 2 (2025): June: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i2.193

Abstract

Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. The Random Forest model achieved the best performance, with 83% accuracy, 83% precision, 100% recall, and a 90% F1-score, followed closely by Logistic Regression with 82% accuracy. Nevertheless, the results demonstrate the feasibility of applying machine learning to support the early detection of mental health risks, offering a strong foundation for future research in predictive analytics and the development of intelligent support systems within digital work environments.
BAHASA SLANG PADA MEDIA SOSIAL TIKTOK: SLANG ON TIKTOK SOCIAL MEDIA Sri, Sri Rahmadani Syarif; Jamila Tun Nabila Hasanuddin; Widya; Nur Alamsyah; Abdul Wahid
AUFKLARUNG: Jurnal Kajian Bahasa, Sastra Indonesia, dan Pembelajarannya Vol. 3 No. 6 (2024): AGUSTUS-SEPTEMBER TAHUN 2024
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/aufklarung.v3i6.1864

Abstract

Tujuan penelitian ini adalah untuk menjelaskan jenis dan pengaruh slang pada platform sosial media Tiktok. Penelitian ini menggunakan pendekatan kualitatif deskriptif untuk memahami fenomena sosial, budaya, atau perilaku manusia melalui analisis data non-numerik. Tuturan atau ujaran bahasa gaul yang ditemukan di fitur komentar media sosial Tiktok adalah sumber data penelitian ini. Penelitian ini menggunakan metode dokumentasi, atau baca, untuk mengumpulkan data. Identifikasi data, klasifikasi data, analisis data, dan simpulan adalah empat tahap analisis data. Menurut penelitian dan diskusi, ada empat jenis bahasa gaul yang ditemukan di media sosial Tiktok: singkatan, salah ucap, dipendekkan, dan interjeksi. Hasil penelitian menunjukkan bahwa bahasa slang adalah hasil daya temu kebahasaan, terutama kaum muda yang menginginkan istilah-istilah yang baru, segar, asli, dan mudah untuk mereka gunakan saat berkomunikasi. Penggunaan bahasa slang tidak hanya secara lisan tetapi juga secara tertulis, seperti penggunaan bahasa slang di media sosial.
Analisis Pemanfaatan AI Untuk Pengembangan Buku Ajar Interaktif di SD IT Anak Sholeh Mandiri Banjarmasin rasyidan, muhammad; Silvia Ratna; M. Muflih; Herry Adi Chandra; Yusri Ikhwani; Wagino; Nur Alamsyah
Jurnal Inovasi Pengabdian Masyarakat Vol 2 No 3 (2025): JIPMAS : Journal Inovasi Pengabdian Masyarakat
Publisher : PT. Karya Inovatif Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65255/jipmas.v2i3.223

Abstract

This community service activity aims to enhance the competence of teachers at SD IT Anak Sholeh Mandiri Banjarmasin in utilizing Artificial Intelligence (AI) for the development of interactive teaching materials. In the digital era, AI has great potential to assist teachers in designing learning materials that are more engaging, innovative, and tailored to students’ needs. The training covers the introduction of basic AI concepts, the utilization of various AI-based tools for creating teaching materials, as well as hands-on practice in developing interactive content that can improve learning effectiveness. The methods used include presentations, discussions, workshops, and simulations of AI technology implementation in the creation of teaching materials. It is expected that through this training, teachers at SD IT Anak Sholeh Mandiri Banjarmasin will become more creative and efficient in preparing learning resources, making the learning process more interesting and aligned with technological advancements in education. Moreover, this training also aims to build the school’s readiness to adopt digital technologies in order to support the improvement of education quality.
Analisis Tingkat Penerimaan Mahasiswa terhadap Pembelajaran Online berbasis Gamifikasi Pada Perguruan Tinggi Petrus Jacob Pattiasina; Ilma Wulansari Hasdiansa; Annajmi Rauf; Nur Alamsyah; Sulpiani; Siti Auliyani Saleh
Journal of Vocational, Informatics and Computer Education Vol 2, No 1 (2024): Juni 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i1.24

Abstract

Pembelajaran daring sering kali menghadapi tantangan terkait motivasi dan keterlibatan mahasiswa. Tujuan penelitian ini adalah untuk menganalisis tingkat penerimaan mahasiswa terhadap pembelajaran daring berbasis gamifikasi. Penelitian ini menggunakan metode kuantitatif dengan desain cross-sectional, mengumpulkan data melalui kuesioner dari 64 responden. Hasil penelitian menunjukkan bahwa elemen gamifikasi, khususnya aspek philanthropist dan socializer, memberikan dampak terbesar terhadap motivasi dan partisipasi mahasiswa dengan nilai rata-rata 3,96 dan 3,9. Sebaliknya, aspek achiever dan explorer memiliki pengaruh yang lebih kecil. Penelitian ini menyimpulkan bahwa penerapan gamifikasi dapat meningkatkan keterlibatan mahasiswa dalam pembelajaran daring, dan menyarankan penelitian lebih lanjut untuk mengeksplorasi faktor-faktor individu yang mempengaruhi penerimaan gamifikasi.
QUIDS: A Novel Edge-Based Botnet Detection with Quantization for IoT Device Pairing Aji Gautama Putrada; Nur Alamsyah; Mohamad Nurkamal Fauzan; Sidik Prabowo; Ikke Dian Oktaviani
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.878

Abstract

Advanced machine learning has managed to detect IoT botnets. However, conflicts arise due to complex models and limited device resources. Our research aim is on a quantized intrusion detection system (QUIDS), an edge-based botnet detection for IoT device pairing. Using knearest neighbor (KNN) within QUIDS, we incorporate quantization, random sampling (RS), and feature selection (FS). Initially, we simulated a botnet attack, devised countermeasures via a sequence diagram, and then utilized a Kaggle botnet attack dataset. Our novel approach includes RS, FS, and 16-bit quantization, optimizing each step empirically. The test results show that employing a mean decrease in impurity (MDI) by FS reduces features from 115 to 30. Despite a slight accuracy drop in KNN due to RS, FS, and quantization sustain performance. Testing our model revealed 1200 RS samples as optimal, maintaining performance while reducing features. Quantization to 16-bit doesn’t alter feature value distribution. Implementing QUIDS increased the compression ratio (CR) to 175×, surpassing RS+FS threefold and RS by 13 times. This novel method emerges as the most efficient in CR.
The dangers of Bullying and sexual harrasement: Bahaya Anti Penindasan dan Pecehan Seksual Siti Nor Elisa; Dzul Rachman; Shabrina Nur Fadillah; Muhammad Adzha Yoanduanda; Nurfani Yulianti; Rizky Ramadhi; Nur Alamsyah
Journal of Empowerment and Community Service (JECSR) Vol. 2 No. 3 (2023): Vol.2 No.3 Juni 2023
Publisher : Wadah Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Students of the 2021 Sports Education and English Education Study Programs have carried out Real Work Lecture (KKN) program activities on July 23 - September 26, 2024 in the environment of SMA Negeri 15 Samarinda. This program is one of the courses that must be taken by students of the Faculty of Teacher Training and Education (FKIP) before going directly into the world of education. This KKN activity aims to develop creativity and build cooperation between students, teachers, students and other school residents. There are 3 activities that must be carried out while at SMA Negeri 15 Samarinda, namely the collaboration of students and OSIS SMA Negeri 15 Samarinda to make the August 17 Competition and the Seminar “The Importance of Higher Education” and “The Dangers of Bullying and Sexual Harrasment”. As for the optional activities, there are 3, namely the making of a “Mini Park” which is divided into 3 parts, namely the making of a mini park, a cleanliness sign and also submitting a plant request proposal to the Samarinda City Environmental Service, making Anti-Bullying and Sexual Harassment posters.
Co-Authors AA Sudharmawan, AA Abdul Wahid Ahmad Martani Aji Gautama Putrada Andi Gunawan Azis Anin Asnidar Annajmi Rauf Budiman Budiman Budiman Chandra, Herry Adi Dandi Sudrajat Dzul Rachman, Dzul Erna Hikmawati Fikri Muhamad Fahmi Gaffar, Fatmawati Halimah Basri Hariani Ibrahim . Ikke Dian Oktaviani Ilma Wulansari Hasdiansa Indi Irwan Achmad Intan Dwi Hastuti Ir. H. M. Muflih Jamila Tun Nabila Hasanuddin Kamal Kamal Kartini Marzuki M. Muflih Mohamad Nurkamal Fauzan Muh. Taufiq Kurahman Muhamad Roem Muhammad Adzha Yoanduanda Muhammad Dahlan Muhammad Rasyidan Muharir Muharir Nayunda Nur Fitriyani Nurfani Yulianti Nurhannis Petrus Jacob Pattiasina Rahma Ashari Hamzah Rahman Hidayat Rasyidan, Muhammad Rizky Ramadhi Rosmiati S.W. Manurip, Atanasius Angga Setiana, Elia Shabrina Nur Fadillah Sidik Prabowo silvia ratna Sirwan Sirwan Siti Auliyani Saleh Siti Nor Elisa Sohrah Sohrah Sri, Sri Rahmadani Syarif Suhendra Suhendra Sukirman Sukirman Sukirman Sukirman Sulpiani Syahira Putri Himmaniah Syarifuddin Baco Syekh Adiwijaya Latief Untung Valencia Claudia Jennifer Kaunang WAGINO Wagino Wagino Wahidatul Munandar Widya Yeni Handayani Yolandika Arsyad Yunita Laponte Yusri Ikhwani