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All Journal Jurnal Teknik Industri Jurnal Keteknikan Pertanian Turbo : Jurnal Program Studi Teknik Mesin Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Sains dan Informatika Jurnal Pengabdian Al-Ikhlas Indonesian Journal for Social Responsibility Journal of Industrial Engineering and Operation Management (JIEOM) Journal of Mechanical Engineering, Science, and Innovation Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Journal of Manufacturing in Industrial Engineering & Technology
Akhmad Ghiffary Budianto
Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Public Health Social Sciences Other

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PEMBERDAYAAN KARANG TARUNA KARYA MASA MELALUI TEKNOLOGI PEMBUATAN ALAT PENCACAH ECENG GONDOK DI DESA LOK BAINTAN, KABUPATEN BANJAR, PROVINSI KALIMANTAN SELATAN Akhmad Syarief; Muhammad Nizar Ramadhan; Ahmad Ghiffary Budianto
JURNAL PENGABDIAN AL-IKHLAS UNIVERSITAS ISLAM KALIMANTAN MUHAMMAD ARSYAD AL BANJARY Vol 11, No 1 (2025): AL-IKHLAS JURNAL PENGABDIAN
Publisher : Universitas Islam kalimantan MAB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jpaiuniska.v11i1.16779

Abstract

Pada Program Hibah Pengabdian Kepada Masyarakat Kompetitif Nasional  melibatkan Tim Pelaksana Prodi Teknik Mesin dan Prodi Teknik Rekayasa Elektro Universitas Lambung Mangkurat dengan Mitra dari Karang Taruna Karya Masa di Desa Lok Baintan, Kabupaten Banjar, Provinsi kalimantan Selatan. Permasalahan yang dihadapi mitra saat ini adalah pertama permasalahan lingkungan seperti banyaknya tumpukan limbah berupa sampah rumah tangga; kedua permasalahan pada parawisata dimana eceng gondok menghambat aktifitas kegiatan wisata pasar terapung; ketiga permasalahan pertanian dimana eceng gondok merupakan gulma yang selama ini hidup di wilayah pertanian di pesisir sungai Martapura. Dari permasalahan tersebut membuat Tim PKM dari Prodi Teknik Mesin Universitas Lambung Mangkurat mengajak berkerjasama dengan masyarakat, dimana dari tim PKM memberikan pengetahuan dan bantuan berupa barang, dengan merancang dan membuat suatu alat pencacah dan peniris eceng gondok. Kegiatan PKM berikut bertujuan dapat menghasilkan beberapa hal, antara lain: (1) Tim PKM dapat mentransfer ilmu pengetahuan dan teknologi kepada anggota karang taruna; (2) Pembuatan atau perakitan alat pencacah eceng gondok serta cara mengoperasikan dan merawat teknologi yang diberikan; (3) tim PKM memberikan pelatihan kepada mitra cara membuat dan memasarkan pupuk kompos dari eceng gondok
Pemanfaatan Teknologi Internet of Things untuk Penunjang Model Pembelajaran Science, Technology, Engineering and Mathematics Budianto, Akhmad Ghiffary; Zulkarnain, Andry Fajar; Suryo, Arief Trisno Eko; Cahyono, Gunawan Rudi; Rusilawati, Rusilawati; Wibowo, Bayu Setyo; Az-Zahra, Siti Fathimah; Atmadja, Fridho Ery Dwi; Najua, Siti Nur
Indonesian Journal for Social Responsibility Vol. 7 No. 01 (2025): June 2025
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v7i01.412

Abstract

The development of outstanding human resources can be achieved through the application of Science and Technology (S&T) in education. The focus of applying S&T is on the Science, Technology, Engineering, and Mathematics (STEM) learning approach. The STEM learning approach equips students with the ability to think creatively, critically, and problem-solving oriented, as well as to work collaboratively in teams, adapt to technological advancements, and continue to innovate. A lack of examples regarding the methods and applications of the latest technology in STEM fields poses a problem for students in schools. Students often struggle with understanding theories due to the absence of engaging demonstrative examples. The use of the Internet of Things (IoT) in various fields and daily life serves as an example of STEM application. Introducing IoT in several science subjects such as Physics, Chemistry, Biology, and Mathematics can provide engaging and relevant learning experiences. The goal of this Community Service activity is to provide an introduction and examples of IoT application as a supporting model for STEM learning at SMAN 1 Banjarbaru. The method used involves socializing IoT technology and including practical applications of IoT in STEM fields, such as assembling IoT kit components with WeMos D1, ESP32 NodeMCU, and various sensors for measuring temperature and pH. It is expected that students will understand the application of the latest IoT technology in STEM fields. Additionally, the school will be able to provide engaging, up-to-date learning experiences in technology that are relevant to the latest curriculum. As the result, three groups of students, each consisting of five members, successfully developed an IoT system for measuring liquid temperature and pH.
Pengaruh Variasi Pulsed-Spray Time dengan Water Coolant Pada Media Pendinginan Terhadap Efisiensi dan Temperatur Panel Surya Ansyah, Pathur Razi; Cahyono, Gunawan Rudi; Budianto, Akhmad Ghiffary Budianto; Amrullah, Apip; Farobie, Obie; Jamalulail, Nanda; Lukmana, Wahyu
Jurnal Keteknikan Pertanian Vol. 13 No. 1 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.1.18-38

Abstract

Teknologi panel surya memungkinkan konversi cahaya matahari menjadi energi listrik. Akan tetapi, ada masalah yang dapat muncul pada kinerja panel surya, misalnya peningkatan suhu panel surya melebihi batas kerjanya sendiri. Suhu yang semakin meningkat akan membuat kinerja panel surya semakin berkurang. Maka, penting menjaga suhu panel surya sangat diperlukan agar performanya tetap optimal. Penelitian ini dilakukan untuk mengetahui pengaruh delay timing back and front surface spray cooling terhadap temperatur rata – rata, daya output, dan pengoptimalan energi panel surya. Pengujian ini menghasilkan temperatur panel surya sangat menurun ketika delay timing spray 10 menit senilai 58,95°C, ketika delay timing spray 20 menit senilai 70,78°C, sedangkan ketika delay timing spray 30 menit senilai 78,63°C. Metode pendinginan yang dilakukan selama 1 menit dengan variasi delay timing spray 10 menit, 20 menit, dan 30 menit. Uji eksperimental ini dapat menurunkan suhu panel surya, pada delay timing spray 10 menit menjadi 58,95°C, pada delay timing spray 20 menit menjadi 70,78°C, dan pada delay timing spray 30 menit menjadi 78,63°C. Metode pendinginan dilakukan selama 1 menit dengan delay timing spray yang bervariasi yaitu 10 menit, 20 menit dan 30 menit. Melalui pengujian ini juga diperoleh nilai energi total. Apabila delay timing spray 10, 20 dan 30 menit masing-masing sebesar 8,61 x 10-3 kWh (30982,06 Joule), 8,03 x 10-3 kWh (28890,32 Joule) dan 7,61 x 10-3 kWh (27408,06 Joule). Kesimpulan dari penelitian yang telah dilakukan adalah delay timing spray yang paling optimal delay timing spray selama 10 menit dengan suhu rata-rata sebesar 58,95°C, dan optimalisasi energi terbaik adalah dengan energi total sebesar 30982,06 Joule atau 8,61 x 10 -3kWh.
A Text Mining Approach to Analyzing the Omnichannel Retail Business Performance of the KlikIndomaret App Budianto, Akhmad Ghiffary; Suryo, Arief Trisno Eko; Zulkarnain, Andry Fajar; Cahyono, Gunawan Rudi; Rusilawati, Rusilawati; Az-Zahra, Siti Fatimah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.131-144

Abstract

The evolution of Web 2.0 technology has significantly influenced the use of Android applications, enabling users to provide feedback through reviews and star ratings. In managing omnichannel retail businesses, this user-generated content serves as a valuable source of information for performance evaluation and strategic management of both online and offline operations. Large-scale user review data is well-suited for analysis through text mining, particularly in sentiment analysis, when combined with topic and keyword filtering in the business domain. This study utilizes the RoBERTa Transformer model for the sentiment classification of user reviews. Among the 520 user reviews, 211 displayed good emotion, while 309 showed negative sentiment. By applying filtering processes to topics and keywords within the omnichannel retail business domain, the study identifies "economic value" and "delivery and CRM" as priority areas for improvement. This conclusion is drawn based on the significant disparity between positive and negative sentiments. As a result, management can formulate strategies to enhance the performance and user experience of the KlikIndomaret Android application.
Peningkatan Kompetensi Siswa SMK di Bidang Computer Vision dengan Implementasi YOLO dan Raspberry Pi 4 Arief Trisno Eko Suryo; Akhmad Ghiffary Budianto; Andry Fajar Zulkarnain; Gunawan Rudi Cahyono; Rusilawati Rusilawati; Bayu Setyo Wibowo; Marcfiliadi Ezra Nugroho; Fridho Ery Dwi Atmadja; Feby Zulviana Efendi
Indonesian Journal for Social Responsibility Vol. 8 No. 01 (2026): June 2026
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v8i01.543

Abstract

The rapid development of Artificial Intelligence (AI) technology up to 2025 has positioned Computer Vision (CV) as a crucial field in industrial applications, increasing the demand for competent graduates. Vocational High Schools (SMKs) are intended to prepare students for high employability; however, a situational analysis conducted at SMK Telkom Banjarbaru, South Kalimantan, Indonesia, revealed a gap in students’ understanding and practical application of CV technologies caused by limited learning resources and inadequate curriculum integration. The Community Service Program (Pengabdian kepada Masyarakat, PkM) of the Electrical Engineering Department aimed to introduce fundamental CV concepts to enhance students’ competencies and support digital literacy initiatives. The program employed a project-based training approach, combining theoretical sessions with practical demonstrations of a real-time face detection system using Raspberry Pi 4, OpenCV, and YOLO. The effectiveness of the program was evaluated through pre- and post-assessment surveys involving 30 participants (28 students and 2 supervising teachers). The results demonstrated successful implementation of an object detection system capable of detecting single and multiple faces with accuracy approaching 1.00 (100%). Survey findings indicated an increase in participants’ understanding of CV and digital literacy from 57% to 85%. Students’ comprehension of the difference between object classification and object detection improved from 64% to 89%, while their understanding of machine learning principles increased from 60% to 89%. Overall satisfaction with the program reached 89%. In conclusion, this community service program effectively bridged the competency gap and serves as a collaborative model between higher education institutions and vocational schools.
Deployment Klasifikasi Sentimen Pada Ulasan Pengguna Aplikasi PLN Mobile Dengan Machine Learning Akhmad Ghiffary Budianto; Aqli Mursadin
Journal of Manufacturing in Industrial Engineering & Technology Vol 5 No 1 (2026): Vol 5 No 1 (2026): Journal of Manufacturing in Industrial Engineering & Technolog
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v5i1.31396

Abstract

PT. PLN menyediakan layanan pengaduan bagi pelanggan terkait masalah kelistrikan baik melalui social media maupun aplikasi mobile PLN di android. Dalam google playstore, mobile PLN mendapatkan ulasan pengguna berupa rating dan ulasan. Sentimen terhadap ulasan pengguna bertujuan untuk memahami konteks dari ulasan yang diberikan pengguna. Penelitian ini bertujuan untuk dapat melakukan klasifikasi sentimen pada ulasan pengguna tersebut dan melakukan proses deployment ke dalam user interface agar mudah digunakan. Metode yang digunakan yaitu mengumpulkan ulasan pengguna dengan web scraping lalu mengolahnya dengan TF-IDF dan klasifikasi dengan logistic regression dan naïve bayes. K-folds cross validation dengan k=5 dan metrik performa seperti akurasi dan f1-score digunakan untuk mengukur kinerja model. Model klasifikasi  sentimen dengan naïve bayes menghasilkan tingkat akurasi sebesar 91%+2,42% dan f1-score sebesar 90,98%+2,44%. Model Naïve Bayes sedikit lebih baik dibandingkan dengan hasil model logistic regression dengan ingkat akurasi 87,9%+2,36% dan f1-score 87,87%+2,39%. Total misklasifikasi yang terjadi dengan model naïve bayes (17 kali) juga lebih sedikit terjadi dibandingkan dengan model logistic regression (22 kali). Deployment berhasil dilakukan dengan menggunakan Gradio user interface sederhana untuk melakukan trial dari model klasifikasi sentimen
Pengaruh fraksi volume dan orientasi sudut serat komposit polyester-serbuk kayu ulin (eusideroxylon zwageri)-kawat kasa terhadap kekuatan bending Akhmad Syarief; Taufik Irfansyah Sofian; Akhmad Ghiffary Budianto; Andy Nugraha
TURBO [Tulisan Riset Berbasis Online] Vol 11 No 2 (2022): TURBO : Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v11i2.2163

Abstract

A composite is a material formed from the combination of two or more constituent materials through an inhomogeneous mixture. The ironwood waste has less economic value, which makes the authors interested in conducting research using mosquito nets and particle composite ironwood waste. Which is to find out the effect of volume fraction and angle orientation of the fiber composite polyester-ulinwood powder (Eusideroxylon zwageri)-mosquito wire on the bending strength. The bending test was carried out using the ASTM D-790 standard with the three point bending test method and the composite was manufactured using the hand lay-up method with the particle composition: polyester: 10%: 90%, 15%: 85%, 20%: 80%, and 25%: 75%. The results obtained in the comparison of the composition of less ironwood powder, a finer mesh size with an orientation angle of 45°, and mosquito wire show the highest bending strength and high deformation ability (ductile), and the addition of mosquito net as one of the composite specimen fibers of polyester resin does not increase significant bending strength but can reduce the deformability reduction effect.
Analisis Pengaruh Variasi Waktu Perlakuan Alkalisasi KOH (Kalium Hidroksida) Terhadap Sifat Mekanik Serat Tunggal Purun Tikus (Eleocharis Dulcis) Akhmad Syarief; Iphan Fitrian Radam; Muhammad Nizar Ramadhan; Akhmad Ghiffary Budianto; Fadliyanur; Aulia Aufa Ramdhasari
TURBO [Tulisan Riset Berbasis Online] Vol 15 No 1 (2026): TURBO: Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v15i1.4569

Abstract

The utilization of purun tikus (Eleocharis dulcis) fiber as a reinforcement material for composites has considerable potential due to its high cellulose content. However, the hydrophilic nature of this fiber limits its interfacial bonding with the matrix, thus requiring chemical treatment to enhance its performance. This study aims to analyze the effect of varying alkali treatment durations using KOH solution on the mechanical properties of single purun tikus fibers. The alkali treatment was conducted by immersion for 3, 6, 9, and 12 hours. Mechanical tests included tensile and pull-out tests to evaluate tensile strength, elongation, elastic modulus, and interfacial shear strength (IFSS). The results showed that treatment for 3 hours provided the most significant improvement, with tensile strength reaching 75.25 MPa, elastic modulus of 12,137.5 MPa, and IFSS of 13.78 MPa. This improvement is attributed to the removal of lignin and hemicellulose, which enhanced fiber–matrix interfacial bonding. Conversely, longer treatment durations led to cellulose degradation and decreased mechanical performance. Therefore, the optimum alkali treatment duration using KOH for purun tikus fibers is 3 hours, which yields maximum improvements in mechanical strength and interfacial bonding quality.
Co-Authors Akhmad Syarief Akhmad Syarief Andy Nugraha Apip Amrullah Aqli Mursadin Atmadja, Fridho Ery Dwi Aulia Aufa Ramdhasari Az-Zahra, Siti Fathimah Az-zahra, Siti Fatimah Bayu Setyo Wibowo Fadilah, Aris Fadliyanur Fadliyanur, Fadliyanur Fajar Zulkarnain, Andry Feby Zulviana Efendi Fridho Ery Dwi Atmadja Gunawan Rudi Cahyono Hartoyo, Muhammad Hendrawan Septian Iphan Fitrian Radam Jamalulail, Nanda Lukmana, Wahyu Marcfiliadi Ezra Nugroho Martunus Martunus Muhammad Marsudi Muhammad Nizar Ramadhan Najua, Siti Nur Obie Farobie Pathur Razi Ansyah Rabiatus Sholehah Rachmat Subagyo Ramadhasari, Aulia Aufa Rusilawati Rusilawati Suryo, Arief Trisno Eko Taufik Irfansyah Sofian Wibowo, Bayu Setyo Yassyir Maulana