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All Journal Jurnal Dedikasi Geo Media: Majalah Ilmiah dan Informasi Kegeografian JURNAL SISTEM INFORMASI BISNIS Jurnal Pendidikan Geografi Undiksha Journal of Tropical Soils Jurnal Simetris SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin TARBIYA : Journal Education in Muslim Society Jurnal Transformatika Media Mesin: Majalah Teknik Mesin R.E.M (Rekyasa Energi Manufaktur) Jurnal JPG (Jurnal Pendidikan Geografi) Turbo : Jurnal Program Studi Teknik Mesin Journal of Energy, Mechanical, Material and Manufacturing Engineering Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Mesin Indonesia Abdimasku : Jurnal Pengabdian Masyarakat JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal Mesin Nusantara Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Tematik Journal Of Engineering Sciences (Improsci) Jurnal Alat Berat Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Sainstech Nusantara Geosfera Indonesia Jurnal DIMASTIK
Edi Widodo, Edi
Magister Sistem Informasi Universitas Diponegoro
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Rancang bangun pembuatan mesin cetak pelet pakan ternak Ardiansyah, Ahmad Rehan; Widodo, Edi; Mulyadi
Jurnal Teknik Mesin Indonesia Vol 21 No 1 (2026): April
Publisher : BKS-TM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71452/jtmi2112026104

Abstract

A livestock feed pellet machine is a device designed to improve the efficiency of animal feed production processes. Manual feed production generally requires a longer processing time and often produces pellets with non-uniform sizes. This study aims to design and develop a livestock feed pellet machine with a production capacity of 20 kg/h, focusing on the structural design of the machine frame and screw extruder as the primary components in the pellet-forming process. The research methodology includes field observation, literature review, and a design process based on the VDI 2222 design method. The design process was carried out using SolidWorks software, involving the selection of main components such as an AC electric motor, a pulley and V-belt transmission system, a hopper, a machine frame, and a screw extruder. Structural strength analysis was conducted using the Finite Element Analysis (FEA) method through SolidWorks Simulation under a static load of 150 kg to evaluate the distribution of stress, strain, displacement, and safety factor. The simulation results show that the maximum stress on the machine frame is 72.6 MPa, with a maximum displacement of 9.516 mm and a minimum safety factor of 1.689, indicating that the stress value is still below the material yield strength and the frame structure is considered safe. Meanwhile, the screw extruder component experiences a maximum stress of 6.14 × 10⁴ N/m², a maximum displacement of 8.313 × 10⁻⁶ mm, and a maximum strain of 1.804 × 10⁻⁷, indicating that the resulting deformation is very small and remains within the elastic limit of the material. Based on the design and structural analysis results, the developed livestock feed pellet machine has a safe and stable structural design and is capable of improving the efficiency of feed production. This machine is expected to serve as an alternative solution for farmers to independently produce livestock feed at a more economical cost.
Development of Edusmart as an AI-Based Adaptive Learning Application for Needs Analysis Among Indonesian Primary School Students sunaryati, Titin Sunaryati; Widodo, Edi; Firdaus, Ahmad; Sudharsono, Muhamad; Rayyan, Muhammad Faiz
TARBIYA: Journal of Education in Muslim Society TARBIYA: JOURNAL OF EDUCATION IN MUSLIM SOCIETY | VOL. 12 NO. 2 2025
Publisher : Faculty of Educational Sciences, UIN (State Islamic University) Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/tjems.v12i2.46582

Abstract

Abstract Digital transformation in primary education requires learning tools that can support competency-based assessment and respond to students’ diverse learning needs. However, conventional evaluation practices often provide limited diagnostic information for teachers when planning differentiated instruction. This study aimed to develop and conduct an initial classroom trial of EduSmart, an AI-supported adaptive learning application designed to classify students’ competency levels and provide learning recommendations based on quiz performance. The study employed a Research and Development (R&D) approach using the ADDIE model. Participants consisted of 66 fifth-grade students from three public elementary schools in Bekasi Regency. Data were collected through observations, interviews, expert validation, user response questionnaires, and learning outcome tests using a one-group pretest–posttest design. Quantitative data were analyzed using descriptive statistics, paired-sample t-test, and N-Gain analysis, while qualitative data were analyzed thematically with NVivo support. The results showed that EduSmart was rated very feasible by experts, with an average score of 4.5 out of 5. The paired-sample t-test indicated a significant difference between pretest and posttest scores (p < .001), with a mean improvement of 15.68 points. The average N-Gain score was 0.42, indicating moderate improvement. Qualitative findings showed that students responded positively to EduSmart, particularly in terms of ease of use, learning relevance, and motivation. Since the study did not involve a control group, these findings should be interpreted as preliminary evidence of EduSmart’s potential to support adaptive and data-informed learning in primary education.   Abstrak Transformasi digital dalam pendidikan dasar membutuhkan perangkat pembelajaran yang mampu mendukung asesmen berbasis kompetensi dan merespons kebutuhan belajar siswa yang beragam. Namun, praktik evaluasi konvensional sering kali belum memberikan informasi diagnostik yang cukup bagi guru dalam merancang pembelajaran terdiferensiasi. Penelitian ini bertujuan mengembangkan dan melakukan uji coba awal aplikasi EduSmart, yaitu aplikasi pembelajaran adaptif berbasis AI yang dirancang untuk mengklasifikasikan tingkat kompetensi siswa dan memberikan rekomendasi belajar berdasarkan hasil kuis. Penelitian ini menggunakan pendekatan Research and Development (R&D) dengan model ADDIE. Partisipan penelitian terdiri atas 66 siswa kelas V dari tiga sekolah dasar negeri di Kabupaten Bekasi. Data dikumpulkan melalui observasi, wawancara, validasi ahli, angket respons pengguna, serta tes hasil belajar dengan desain one-group pretest–posttest. Data kuantitatif dianalisis menggunakan statistik deskriptif, paired-sample t-test, dan N-Gain, sedangkan data kualitatif dianalisis secara tematik dengan bantuan NVivo. Hasil penelitian menunjukkan bahwa EduSmart dinilai sangat layak oleh ahli dengan skor rata-rata 4,5 dari 5. Hasil paired-sample t-test menunjukkan perbedaan yang signifikan antara skor pretest dan posttest (p < .001), dengan peningkatan rata-rata sebesar 15,68 poin. Nilai rata-rata N-Gain sebesar 0,42 menunjukkan peningkatan pada kategori sedang. Temuan kualitatif menunjukkan bahwa siswa merespons EduSmart secara positif, terutama pada aspek kemudahan penggunaan, relevansi pembelajaran, dan motivasi belajar. Karena penelitian ini tidak menggunakan kelompok kontrol, temuan tersebut perlu dipahami sebagai bukti awal mengenai potensi EduSmart dalam mendukung pembelajaran adaptif dan berbasis data di pendidikan dasar.
Co-Authors Agung Yulianto Agus Susilo Nugroho Agusta Praba Ristadi Pinem Ahmad Ahfas Ahmad Firdaus, Ahmad Akbar, Syaeful Akhmad, Afandi Al-Amin , Achmad Nurfadil Alamsyah, Erika Ali Akbar Ananto, Ami Dwi Andri Triyono Angga, Pratama Ansori, Faisal April Firman Daru Arbiantara, Difta Ardiansyah, Ahmad Rehan Arum, Dhika Malita Puspita A’rasy Fahruddin Bambang Syaeful Hadi Basri Basri Boy Isma Putra Candra Darmawan, Candra Chilmi, Muchammad Dessy Wardiah, Dessy Dhika Malita Dwi Angga Oktavianto Efendi, Moch Miqdar Eka Putri Rachmawati Eko Supriyadi Fahruddin, A'rasy Fahruddin, A’rasy Fathoni, Muhammad Rizal Febriyanto, Eko Wahyu Fernanda, Ardhi Shefta Hadi, Soiful Hanani, Nabil Azka Hanif, Muhammad Burhan Harapan, Edi Hastuti Hastuti Hastuti Himam, Muhammad Tauhid Ibnu Widiyanto Indah Sulistiyowati iswanto Iswanto Iswanto Kartika Imam Santoso Khoirunnisa, Safira Kristanto, Arnes Budi Kristianto, Denny Kurniawan, Teguh Tri Martiana, Aris Maulana, Achmad Bagas Mauliana, Metatia Intan Ma’arif, Daffa Nurin Nabil Muhsinatun Siasah Masruri Mukminan MULYADI Muqaffi, Alfan Dabbar Mustafid Mustafid Nursida Arif Nurtriana Hidayati Pamungkas, Wahyu Aji Prantasi Harmi Tjahjanti Pratama Angga Buana Prind Triajeng Pungkasanti, Prind Triajeng Priyambudi, Gagah Deffi Putro, Eko Prasetio Ramadhan, Bayu Surya Ramadhani, Aditya Ramos, Angelou O. Rastri Prathivi Rayyan, Muhammad Faiz Riantika, Rasti Fajar Peni Rifa'atussa'adah, Nahida Rofiq Salam, Rois Nur Saputra, Muhammad Anggie Cahya Setiawan, Luthfi Frans Siti Irene Astuti D Sri Rum Giyarsih Sudharsono, Muhamad Sulis Yulianto Sunaryati, Titin Sunaryati Surjati, Endang Susanto Susanto Syahruddin Syahruddin Titin Winarti Uce Indahyanti Wardani, Kasa Kusuma Wawan Setiawan Windarta, Windarta Zanyc, Yuinta Diaz Aprilia