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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JMM (Jurnal Masyarakat Mandiri) Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Dharma Andalas Jurnal Pustaka Robot Sister Culture education and technology research Open Access DRIVERset
Hadi Syahputra
Universitas Putra Indonesia YPTK Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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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.
Improvement of Interpolation Performance with Statistical Method in Total Suspended Solid Identification Hadi Syahputra; Yuhandri Yuhandri; Sumijan sumijan
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1190

Abstract

Total Suspended Solids (TSS) is one of the key parameters used to determine water quality, which can be observed through the density level of suspended particles. The determination of TSS aims to ensure that river pollution levels can be controlled to maintain good environmental quality. However, the identification of TSS is still performed manually, which requires a relatively long processing time. This condition highlights the need for an effective and efficient identification process. Based on these considerations, this study aims to develop an extraction technique to identify TSS in river water using the Interpolation Mean Square (IMS) algorithm. The development of the extraction technique within the IMS algorithm is crucial for improving the performance of linear interpolation methods. Mean Square is proposed as a parameter in the interpolation process to optimize the extraction algorithm. The segmentation process based on the performance of the IMS algorithm involves exploring and grouping image intensity values. The resulting segmented image clusters are subsequently selected based on the values produced by the Mean Square computation, which are then processed as the final segmentation output. The experimental results show an improvement in the performance evaluation results of the IMS algorithm providing an increase of 7% to 10% over the previous linear interpolation method. The evaluation results produced by the IMS algorithm are 90.19% accuracy, 99.99% sensitivity, and 83.33% specificity. These results indicate that the improved interpolation method presented in the IMS algorithm produces optimal results in determining TSS. Improving the performance of the interpolation method through the development of an IMS-based extraction technique has succeeded in producing optimal identification results. The superiority of the IMS algorithm provides novelty in the development of interpolation techniques for automated segmentation. Furthermore, the findings of this study can effectively support the West Sumatra Environmental Agency in addressing river water pollution issues.
Penerapan Metode Trend Moment Untuk Memprediksi Penjualan Kayu Dalam Meningkatkan Efisiensi Stok Pada CV Intan Jaya Muhammad Jaya Tinsky; Abulwafa Muhammad; Hadi Syahputra
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.1041

Abstract

Pengelolaan persediaan yang efektif sangat diperlukan untuk mencegah masalah kelebihan atau kekurangan barang yang dapat merugikan perusahaan, khususnya perusahaan perdagangan kayu. Metode Trend Momentdipilih karena kemampuannya dalam menganalisis data masa lalu dan memperkirakan kebutuhan persediaan di masa mendatang.Studi ini dimulaidengan mengumpulkan data penjualan kayu pada CVIntan Jaya dengan jenis kayu yaitu Kayu Banio, Kayu Timbalun,dan Kayu Bayua dalam jangkawaktu 2 tahun (Januari 2023 sampai dengan Desember 2024).Data ini dianalisis untuk mengetahui tren dan pola musiman yang dapat berdampak pada permintaan produk. Hasil analisis menunjukkan bahwa metode Trend Momentdapat memberikan ramalan yang tepat mengenai perkembangan penjualan produk. Dengan menerapkan metode ini, perusahaan dapat merumuskan strategi pemasaran yang lebih fokus, menyesuaikan volume produksi berdasarkan permintaan pasar, serta meminimalkan risiko kelebihan ataukekurangan persediaan. Temuan dari penelitian ini mengindikasikan bahwa pendekatan ini dapat menghasilkan tingkat akurasi yang tinggi dalam memperkirakan volume penjualan. Dengan memanfaatkan data uji ramalan untuk kayu banio 4cm*6cm pada bulan Januari 2025, nilai Absolute Percentage Error(APE) yang diperoleh adalah sebesar 1.0309%. Pada penelitian ini Metode Trend Momentterbukti efektif dalam mendukung peramalan produk guna meningkatkan ketepatan pengelolaan persediaan.
Sistem Pakar Rekomendasi Jurusan Kuliah Berdasarkan Minat Dan Nilai Akademik Siswa Hadi Syahputra; Rofil M. Nur; Aulia Rifa
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1160

Abstract

Pemilihan jurusan kuliah merupakan keputusan penting bagi siswa tingkat akhir sekolah menengah atas karena berpengaruh terhadap masa depan pendidikan dan karier. Namun, banyak siswa mengalami kesulitan dalam menentukan jurusan yang sesuai akibat kurangnya pemahaman potensi diri, keterbatasan informasi jurusan, serta minimnya layanan bimbingan karier berbasis data. Penelitian ini bertujuan untuk membangun sistem pakar rekomendasi jurusan kuliah berdasarkan minat dan kemampuan akademik siswa menggunakan metode forward chaining. Penelitian dilakukan pada siswa tingkat akhir SMAN 2 Koto XI Tarusan dengan jumlah responden sebanyak 100 siswa. Data yang digunakan meliputi minat siswa yang diperoleh melalui kuesioner serta nilai akademik pada mata pelajaran Matematika, Bahasa Indonesia, dan Bahasa Inggris. Sistem pakar dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu memberikan rekomendasi jurusan kuliah secara objektif, terarah, dan berbasis data, sehingga dapat membantu siswa dalam pengambilan keputusan yang lebih tepat serta mengurangi risiko kesalahan dalam memilih jurusan kuliah.
Rancang Bangun Sistem Informasi Inventaris Aset Berbasis Web (Study Kasus : Dimension Photography ) Hadi Syahputra; Silky Safira; Irsyad Romadoni Rais
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.849

Abstract

Dimension Photography merupakan studio fotografi profesional yang mengalami kendala dalam pengelolaan aset karena masih menggunakan metode manual berbasis Microsoft Excel. Kondisi ini menimbulkan berbagai permasalahan, seperti rawannya kesalahan pencatatan dan rendahnya efisiensi kerja. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi inventaris aset berbasis web dengan menggunakan PHP dan MySQL. Sistem ini dikembangkan untuk mempermudah proses pencatatan, pengelolaan, dan pelaporan aset perusahaan secara digital, terstruktur, dan efisien. Hasil dari implementasi menunjukkan bahwa sistem yang dibangun dapat meningkatkan akurasi pencatatan, mempercepat pelaporan, serta mengurangi risiko kehilangan data. Efisiensi kerja admin dan staf meningkat, sementara proses pengambilan keputusan menjadi lebih cepat berkat laporan inventaris yang tersedia secara otomatis. Sistem ini diharapkan menjadi solusi teknologi yang tepat dalam mendukung kegiatan operasional Dimension Photography secara menyeluruh dan dapat dikembangkan lebih lanjut di masa mendatang.
Implementation of an IoT-based Automatic Watering System in Highland Community Agricultural Land Okta Andrica Putra; Hadi Syahputra; Hasri Awal
Majalah Ilmiah UPI YPTK Vol. 33 (2026) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v33i1.218

Abstract

Farming in highland areas faces unique challenges such as changes in temperature, high humidity, and limited access to technology information. This community service activity aims to boost farming productivity by using the Internet of Things (IoT) for monitoring and managing agricultural land. The methods used include identifying the problems faced by farmers, designing an IoT system based on environmental sensors, and providing support and training on how to use the technology to the community. The IoT system that has been set up can monitor the temperature, air humidity, and soil moisture in real-time. This helps farmers make decisions about irrigation and taking care of their plants. The results of the activity show that there has been an improvement in how efficiently water is used, a decrease in the risk of crop failure, and an increase in agricultural production. In addition, support and technical training improve farmers' skills in using the system, making the adoption of technology more effective. Therefore, using IoT in highland farming can be a smart way to boost efficiency, productivity, and sustainability in agriculture in highland areas.
Co-Authors Ahmad Zulfa Aulia Fitrul Hadi Aulia Rifa Ayu Mahessya, Raja Aziz Hakim Asshidiqqi Dodi Guswandi Fajar Alvin Tariq Fajrul Islami Febri Hadi Firdaus daus Fitri Yeni, Fitri Guslendra Hasmaynelis Fitri Hasri Awal Irfan Rizki Nur Irsyad Romadoni Rais Irzal Arif Wisky Jamhur, Annisak Izzaty Liga Mayola M. Fakhri Anwar Muhammad Abi Aufa Muhammad Jaya Tinsky Muhammad Reza Putra Muhammad, Abulwafa Nadia Yolanda Nanda Tommy Wirawan Nanda Tommy Wirawan Neni Sri Wayuni Ningsih Okta Andrica Putra Putra, Ramdani Bayu Ramadhanu, Agung - Retno Devita Rifqa Suchiayana Putri Rofil M. Nur Selvi Zola Fenia Silky Safira Sri Rahmawati Sumijan Surmayanti, Surmayanti Vesi Puspita Sari Wijaya, Romi Wira Adtiya Yagus Valentino Harefa Yanto, Musli Yogi Wiyandra Yuhandri Yuhandri, Yuhandri