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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Scine and Information Technology Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Robot Sister
hadi syahputra
Universitas Putra Indonesia YPTK
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Perancangan Otomatisasi Pewarnaan Pola Sablon Baju Pada Industri Creativ Dengan Menggunakan Arduino Mega 2560 hadi syahputra
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 4 No 1 (2022): Januari 2022
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v4i1.377

Abstract

Pada penelitian ini akan dibentuk sebuah peralatan yang mampu melakukan pewarnaan baju pada industry creativ secara otomatis, guna peningkatan jumlah pewarnaan baju yang beragam semula sistem pewarnaan telah dilakukan dengan menggunakan tenaga manusia dan sekarang akan diganti dengan suatu alat yang dapat bekerja secara otomatis. Dengan menggunakan sensor suhu untuk mendeteksi keadaan kondisi pada larutan agar tetap berada pada suhu 80°C-90°C dan LCD akan menampilkan informasi berapa suhu pada alat. Motor DC akan memutar dan mongontrol putaran pada pewarnaan kain serta elemen pemanas akan mengeringkan pewarnaan pada kain. Sedangkan motor stepper akan mengontrol putaran pada motor gulung di saat kain di cetak. Sedangkan button1 gunanya untuk menjalankan alat pewarnaan kain dan button2 menghentikan/stop pada pewarnaan kain tersebut.
Sosialisasi Aplikasi Sketchup Untuk Umkm Komunitas Hobi Kayu Padang Dalam Mendesain Produk Interior Hadi Syahputra; Raja Ayu Mahessya; Annisak Izzaty Jamhur
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 1 No 2 (2021): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.329 KB)

Abstract

Kayu palet merupakan limbah kayu yang sudah tidak terpakai dan bahkan terbuang. Peluang ini ditangkap oleh pengrajin kayu Kota Padang disulap menjadi kerajinan kreatif. Hasil kerajinan kayu limbah tersebut dapat berupa: lemari pajangan, rak buku, kursi, meja, wall décor, dan lainnya. Ini merupakan salah satu usaha yang dilakukan masyarakat untuk bisa meningkatkan perekonomiannya. Hasil produksi pembuatan kayu limbah ini memiliki nilai ekonomi yang apabila dijual akan memberi keuntungan pada pengrajin. Akan tetapi hasil produksi belum maksimal dipasarkan karena keterbatasan media promosi untuk penjualan produk tersebut. Selain itu dalam mendesain produk pengrajin masih menggunakan cara tradisional dengan menggambar menggunakan kertas. Pada saat sekarang ini untuk mendisain produk bisa menggunakan teknologi salah satunya Sketchup. SketchUp merupakan aplikasi untuk mendesain produk yang mudah digunakan oleh golongan pemua sekalipun, karena desainya menggunakan 3 Dimesi sehingga bila ada orderan barang yang sama, pengrajin bisa melihatkan kepada konsumen desain produknya
Machine learning classification of infectious disease distribution status Irzal Arief Wisky; Musli Yanto; Yogi Wiyandra; Hadi Syahputra; Febri Hadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1557-1566

Abstract

Infectious diseases are common diseases and are caused by microorganisms such as viruses, bacteria, and parasites. Indicators of the spread of this disease can be seen based on the population level and the number of confirmed cases. This study aims to develop a machine learning (ML) analysis model using the K-means cluster, artificial neural network (ANN), and decision tree (DT) methods. The dataset used in this study was obtained based on the number of confirmed patients and the distribution of the population. The analysis process is divided into two stages, namely preprocessing and the classification process. The pre-processing stage aims to produce a classification pattern that can describe the level of distribution status. The classification pattern will be continued at the classification analysis stage using ANN and DT. Classification analysis gave significant results with an accuracy rate of 99.77%. The results of the classification analysis can also describe the level of knowledge distribution based on the decision tree. Overall, the contribution of this research is to develop a classification analysis model that presents the latest information and knowledge. The results of the research presented also have an impact on the control process in environmental management and public health.
Machine learning classification analysis model community satisfaction with traditional market facilities as public service Hadi Syahputra; Musli Yanto; Muhammad Reza Putra; Aulia Fitrul Hadi; Selvi Zola Fenia
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i4.pp1744-1754

Abstract

Traditional markets are public service facilities that can be utilized by thecommunity. The market function is used place where sellers and buyers meetin conducting transactions. This study aims to build a machine learningclassification analysis model in measuring community satisfaction withtraditional market facilities. The analytical methods used include Fuzzy.multiple linear regression (MRL), artificial neural network (ANN), anddecision tree (DT). Fuzzy is used to generate a pattern of rules in determiningthe level of satisfaction. MRL serves to measure and test the correlation ofrules that have been formed. The ANN method is used to carry out theclassification analysis process based on learning. In the final stage. DT is usedto describe the decision tree of the analysis process. This study presents theresults of machine learning analysis which is very good in determiningsatisfaction with an accuracy rate of 99.99%. This result is influenced by fuzzylogic which can develop a classification rule pattern of 32 patterns. MRL alsoshows a significant correlation level of 81.1% based on the indicator variables.Overall, the machine learning classification analysis model can provideknowledge to be considered in the management of traditional markets aspublic service facilities.
Penerapan Metode Multifactor Evaluation Process (MFEB) pada Sistem Penunjang Keputusan untuk Pemilihan Mobil Bekas Terbaik Berbasis Web Hadi Syahputra; M. Fakhri Anwar
Jurnal Pustaka Robot Sister (Jurnal Pusat Akses Kajian Robotika, Sistem Tertanam, dan Sistem Terdistribusi) Vol 2 No 2 (2024): Jurnal Pustaka Robot Sister (Pusat Akses Kajian Robotika, Sistem Tertanam, dan Si
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakarobotsister.v2i2.743

Abstract

Tujuan dari penelitian ini adalah membangun sebuah aplikasi sistem pendukung keputusan pemilihan mobil bekas terbaik. Aplikasi ini menggunakan metode Multi-Factor Evaluation Process untuk melakukan pemprosesan kriteria yaitu kategori kendaraan, transmisi, bahan bakar, kapasitas penumpang, warna mobil, kapasitas bagasi, kondisi mesin, tahun pembuatan, ukuran CC, dan kisaran harga beli mobil bekas tersebut menggunakan metode Multi-Factor Evaluation Process (MFEP) untuk melakukan perangkingan pemilihan mobil bekas mana yang terbaik. Data mobil bekas yang dimasukkan diperoleh dari showroom mobil CV. Azka Auto yang ada di Muaro Bungo, Kota Jambi. Untuk pembuatan keputusan digunakan metode MFEP (Multi-Factor Evalution Process) berbasis web. Hasil dari penelitian ini adalah sebuah sistem pendukung keputusan pemilihan mobil bekas terbaik yang memiliki fitur-fitur penambahan data mobil bekas, data kriteria (kategori kendaraan, transmisi, bahan bakar, kapasitas penumpang, warna mobil, kapasitas bagasi, kondisi mesin, tahun pembuatan, ukuran CC, dan kisaran harga beli), dan data perhitungan berbasis web. Pengujian kelayakan sistem dilakukan dengan 5 data mobil yang dihitung secara keseluruhan dan dapat ditambah diluar 5 mobil bekas yang tersedia di showroom tersebut. Hasil pengujian menunjukkan bahwa alternatif (A2) yaitu mobil Inova dengan hasil perhitungan (12,7) sebagai rangking tertinggi. Sedangkan untuk alternatif (A5) yaitu mobil Fortuner dengan hasil perhitungan (11) sebagai rangking terendah.
Rancangan Bangun Smart System Pelayanan Pencucian Kendaraan Mengunakan Mikrokontroler Berbasis Web Fajar Alvin Tariq; Retno Devita; Hadi Syahputra
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.147

Abstract

This tool makes it easier to service vehicle washing, with a smart vehicle washing service system, consumers' personal data is directly stored on the website. Where we no longer need to record consumer personal data in books. Where usually the personal data of consumers who have washed vehicles that are still recorded in the book are usually stored and can be lost or damaged. With this tool, personal data from washing consumers can be downloaded and it is simpler to store consumer data. This tool uses several components such as Arduino Mega as the main controller, ESP 8266 as a link between the hardware and the web, then there is a Keypad that is used to enter vehicle license plates, push buttons to select the type of vehicle, and RFID sensors to detect consumers who have become customers. members.
Rancang Bangun Media Pembelajaran Alat Musik Senibudaya Minangkabau Mengguanakan Touch Sensor Berbasis Arduino Mega 2560 Dan Smartphone Rifqa Suchiayana Putri; Guslendra; Hadi Syahputra
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.149

Abstract

The learning process of Minangkabau cultural musical instruments is still carried out using book references and direct interaction with musical instruments to understand and comprehend the explanations of the existing musical instruments in Minangkabau culture. The learning process involves introducing each musical instrument one by one. Problem identification, data collection, system analysis, instrument system design, system testing using the designed instrument will provide an explanation of the learning process for introducing Minangkabau cultural musical instruments using Arduino Mega 2560 and a smartphone, which may offer insights into the material and sound of these musical instruments. The touch sensor utilized can facilitate the selection of musical instruments by simply touching, and the Arduino Mega 2560 employed can control the multimedia learning system for introducing musical instruments.
Design Of A Layer-Layed Security System For Jewelry Vaults Utilizing A Time-Based One-Time Password (Otp) Algorithm Using Fingerprint And Microcontroller-Based Telegram Wira Adtiya; Hadi Syahputra; Nanda Tommy Wirawan
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i4.157

Abstract

On campus, the security of student and employee belongings is crucial. Currently, the security system for safes still relies on manual locks or card keys, which are vulnerable to theft and fraud. Therefore, the development of a more sophisticated and secure security system is necessary. One solution is to utilize the Time-Based One Time Password (OTP) algorithm to strengthen locker security. The OTP algorithm generates a unique password each time a user opens the locker, making it more difficult for unauthorized parties to access. Furthermore, the use of fingerprint technology and Telegram as a medium for sending OTP codes can also enhance system security. Fingerprints are used to identify authorized users, while Telegram is used to send OTP codes to users. This tool is processed with an Arduino Mega 2560 microcontroller as a connection.
Co-Authors Annisak Izzaty Jamhur Aulia Fitrul Hadi Devita, Retno Fajar Alvin Tariq Febri Hadi Guslendra Irzal Arief Wisky M. Fakhri Anwar Muhammad Reza Putra Musli Yanto Musli Yanto Nanda Tommy Wirawan Raja Ayu Mahessya Rifqa Suchiayana Putri Selvi Zola Fenia Wira Adtiya Yogi Wiyandra