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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Pada Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Saludin Saludin
Universitas Bina Insani
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN JARAK JAUH DENGAN GOOGLE CLASSROM DI SMAN 15 KOTA BEKASI Ahmad Chusyairi; Didik Setiyadi; Saludin Saludin; Rully Pramudita
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 27, No 1 (2021): JANUARI-MARET
Publisher : Universitas Negeri Medan

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

Abstract

Kemampuan penguasaaan teknologi dan informasi pada guru di SMAN 15 Kota Bekasi dalam masa adaptasi kebiasaan baru sangat diperlukan. Pembuatan media pembelajaran adalah upaya yang dilakukan guru untuk memberikan pembelajaran jarak jauh dengan tool Google Classroom. Metode dalam pengabdian ini adalah dengan pelatihan pembuatan media pembelajaran yang berisi penambahan data siswa, penginputan materi pembelajaran, pembuatan kuis untuk siswa, dan penilaian tugas siswa. Hasil pada pengabdian ini adalah guru dapat membuat media pembelajaran dengan dukungan Google Classroom, sehingga dapat menyajikan informasi pembelajaran jarak jauh yang mudah disampaikan kepada siswa dengan berkualitas. Hasil pada pengabdian dapat membantu memberikan kemudahan dalam melakukan pembelajaran jarak jauh, sehingga dapat mempermudah dalam mewujudkan visi (Dapat Sejajar dengan Sekolah Terbaik Lainnya) dan misi (Unggul dalam Prestasi-Berdaya Saing Global-Berlandaskan Iman dan Taqwa) SMAN 15 Kota Bekasi. Hasil kuesioner dari Pengabdian kepada Masyarakat ini adalah Baik Sekali sebesar 44,43%, Baik sebesar 47,73%, Cukup sebesar 8%, Kurang Baik sebesar 0,33%, dan Sangat Kurang sebesar 0%.Kata kunci: Google Classroom, Media Pembelajaran, Pelatihan, SMAN 15 Kota Bekasi 
Pengenalan dan Implementasi Metode Six Sigma pada Program Studi Teknik Industri, Fakultas Rekayasa Sistem, Universitas Teknologi Sumbawa Didik Setiyadi; Saludin Saludin; Rully Pramudita; Nada Aura Wansa; Restu Amalia Novita
Jurnal Pengabdian Pada Masyarakat Vol 6 No 3 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202163.1032

Abstract

INTRODUCTION AND IMPLEMENTATION OF SIX SIGMA METHODS IN INDUSTRIAL ENGINEERING STUDY PROGRAM, FACULTY OF SYSTEMS ENGINEERING, SUMBAWA UNIVERSITY OF TECHNOLOGY. In implementing the six sigma method in carrying out organizational activities with the aim of improving business performance through the introduction of the stages of the six sigma methodology; namely, initializing a six sigma project through the define stage, defining and measuring variables through the measure stage, analyzing the variables that affect CTQ through the analyze stage, conducting further variable testing and optimizing variables that affect CTQ through the improve stage, and performing control to stabilize the implementation of the results of the improve stages on a regular basis through the control stages, so that participants can train themselves and immediately practice the implementation of six sigma projects for simple cases that are often encountered in the environment around the Sumbawa University of Technology. Participants who registered in the activity were students of the Industrial Engineering study program as many as 128 participants, where from the results of the search for feedback on this activity, 75 participants were carried out via google form. The results of the feedback from this PkM activity with 10 questionnaire questions with a scale of very good (4), good (3), sufficient (2) and less (1) overall that stated very good as many as 44%, good 49%, quite 7 % and less 0%.
PKM Pengenalan Augmented 3D Reality Menggunakan Unity pada Universitas Teknologi Mataram Ahmad Chusyairi; Didik Setiyadi; Saludin Saludin; Rully Pramudita; Ismail Marzuki; Samhana Suryati Subari
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 5, No 2 (2021): Oktober 2021
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.075 KB) | DOI: 10.30734/j-abdipamas.v5i2.1506

Abstract

ABSTRACTMataram Technology University (UTM Mataram) manages the Faculty of Information and Communication Technology (FTIK) which houses 5 (five) study programs: Informatics Engineering, Computer Systems Engineering, Information Technology, Information Systems, and Software Engineering. The background in this PkM is the lack of understanding of 1st-semester students who take the course Introduction to Information Technology regarding Augmented 3D Reality (AR). The goal is to increase students' knowledge and skills about AR supported by Unity tools. The PkM method by providing training and demonstrations online in the form of Zoom media, Live YouTube, and Google Drive Links, 5  modules  contains module 1 about introduction to AR and Unity, module 2 about downloading Unity, module 3 about Unity installation, module 4 about basic tutorials and module 5 about project installation on android. The evaluation was given in the form of a PkM questionnaire which 144 participants were filled in. The result is an increase in the participants' understanding, knowledge, and skills about AR with the Unity tool in the FTIK UTM Mataram and on the Good and Very Good assessment of 82.92%. Keywords: Augmented 3D Reality, Unity, UTM Mataram ABSTRAKUniversitas Teknologi Mataram (UTM Mataram) mengelola Fakultas Teknologi Informasi dan Komunikasi (FTIK) yang menaungi 5 (lima) prodi: Teknik Informatika, Rekayasa Sistem Komputer, Teknologi Informasi, Sistem Informasi dan Rekayasa Perangkat Lunak. Latar belakang dalam PkM ini adalah kurangnya pemahaman mahasiswa semester 1 yang mengambil matakuliah Pengantar Teknologi Informasi mengenai Augmented 3D Reality (AR). Tujuannya adalah meningkatkan pengetahuan dan keterampilan mahasiswa mengenai AR yang didukung tool Unity. Metode PkM dengan memberikan pelatihan dan demonstrasi melalui daring yang berupa media Zoom, Live YouTube dan Link Google Drive modul yang 5 berisi: modul 1 tentang pengenalan AR dan Unity, modul 2 tentang download Unity, modul 3 tentang instalasi Unity, modul 4 tentang basic tutorial dan modul 5 tentang instalasi project pada android. Evalusi diberikan dalam bentuk angket PkM yang mana diisi 144 peserta. Hasilnya adalah meningkatnya pemahaman, pengetahuan dan keterampilan peserta tentang AR dengan tool Unity pada FTIK UTM Mataram dan pada penilaian Baik dan Baik Sekali sebesar 82,92%. Kata Kunci: Augmented 3D Reality, Unity, UTM Mataram.  
Prediction of heart disease using random forest algorithm, support vector machine, and neural network Didik Setiyadi; Henderi Henderi; Anrie Suryaningrat; Rulin Swastika; Saludin Saludin; Muhamad Malik Mutoffar; Imam Yunianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 1: February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i1.25341

Abstract

The heart is a vital organ responsible for pumping blood throughout the human body. Machine learning has become an increasingly important tool in medical forecasting, improving diagnostic accuracy and reducing human errors. This study focuses on detecting heart disease using machine learning algorithms. It aims to compare the performance of three key algorithms random forest (RF), support vector machine (SVM), and neural networks (NN), in predicting heart disease. Using a patient dataset with both nominal and numeric attributes, record mining techniques were applied through Orange software. The target classes indicated the absence (0) or presence (1) of heart disorders. The evaluation was based on the prediction accuracy of each algorithm. Results show that SVM achieved the highest accuracy, with a rate of 85%, outperforming RF and NN. The findings suggest that the SVM algorithm is a reliable tool for heart disease prediction, helping reduce diagnostic errors and improve medical decision-making.
PERANCANGAN PROTOTYPE SISTEM PEMANTAUAN SLOT PARKIR CERDAS DENGAN NOTIFIKASI REAL-TIME BERBASIS INTERNET OF THINGS Rizky Wahyudi; Saludin Saludin
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6452

Abstract

Penelitian ini merancang prototipe sistem pemantauan slot parkir cerdas dengan notifikasi real-time berbasis Internet of Things (IoT) di Politeknik Bisnis Digital Indonesia. Sistem dibangun untuk mengatasi keterbatasan kapasitas parkir dan ketiadaan informasi ketersediaan slot. Perangkat keras yang digunakan meliputi ESP32, sensor ultrasonik, RFID MFRC-522, motor servo, LCD, buzzer, dan LED, sedangkan perangkat lunak menggunakan Node.js, PHP, HTML, dan protokol MQTT. Metode pengembangan menggunakan V-Model dari analisis kebutuhan hingga pengujian. Hasil implementasi menunjukkan sistem mampu mendeteksi ketersediaan slot, memverifikasi pengguna, serta mengirimkan informasi real-time ke dashboard web, sekaligus mengelola akses kendaraan secara otomatis dan menyimpan data ke database. Sistem berfungsi baik sesuai kebutuhan dan dapat dikembangkan dengan teknologi Machine Learning untuk pengenalan plat nomor dan pengelolaan parkir bertingkat.
Co-Authors Anrie Suryaningrat Chusyairi, Ahmad Didik Setiyadi Didik Setiyadi Henderi . Imam Yunianto Ismail Marzuki Muhamad Malik Mutoffar Nada Aura Wansa Restu Amalia Novita Rizky Wahyudi Rulin Swastika Rully Pramudita Samhana Suryati Subari