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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Journal The Winners TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Sistemasi: Jurnal Sistem Informasi Inklusi Journal of Disability Studies Jurnal Informatika dan Multimedia SENTIA 2016 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-Dinamika: Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Informatika dan Multimedia Jurnal Teknik Ilmu dan Aplikasi Software Development Digital Business Intelligence and Computer Engineering Kohesi: Jurnal Sains dan Teknologi Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal INFOTEL Jurnal Informatika Polinema (JIP)
Rudy Ariyanto
Politeknik Negeri Malang
Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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PENGEMBANGAN SISTEM PRESENSI BERBASIS INTERNET OF THINGS (IOT) TERINTEGRASI DENGAN SIAKAD DI POLITEKNIK NEGERI MALANG Yuli Ananta, Ahmadi; Ariyanto, Rudy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13531

Abstract

Perkembangan teknologi di era digital mendorong transformasi sistem akademik, termasuk pencatatan presensi mahasiswa yang masih banyak dilakukan secara manual. Metode konvensional ini rentan terhadap kesalahan pencatatan, manipulasi data, serta membutuhkan waktu yang lama dalam rekapitulasi. Penelitian ini bertujuan untuk mengembangkan sistem presensi berbasis Internet of Things (IoT) menggunakan teknologi Radio Frequency Identification (RFID) yang terintegrasi dengan Sistem Informasi Akademik (SIAKAD) di Politeknik Negeri Malang. Metode pengembangan yang digunakan adalah System Development Life Cycle (SDLC) model Waterfall, yang mencakup analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil penelitian menunjukkan bahwa sistem ini mampu mencatat presensi secara otomatis dan real-time, meningkatkan efisiensi administrasi akademik, serta mengurangi potensi kecurangan. Pengujian dengan metode Blackbox Testing memastikan setiap fitur berfungsi sesuai spesifikasi, sedangkan User Acceptance Testing (UAT) menunjukkan tingkat penerimaan pengguna sebesar 92,5%. Implementasi sistem ini diharapkan dapat menjadi solusi inovatif dalam meningkatkan akurasi dan efektivitas pencatatan kehadiran mahasiswa.
Sistem Monitoring Budidaya Ikan Lele Berbasis Internet Of Things Menggunakan Raspberry Pi Rohadi, Erfan; Adhitama, Dodik Widya; Ekojono, Ekojono; Ariyanto, Rudy; Asmara, Rosa Andrie; Ronilaya, Ferdian; Siradjuddin, Indrazno; Setiawan, Awan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.312 KB) | DOI: 10.25126/jtiik.2018561135

Abstract

AbstrakInternet of Things merupakan perkembangan teknologi berbasis internet masa kini yang memiliki konsep untuk memperluas manfaat yang benda yang tersambung dengan koneksi internet secara terus menerus. Sebagai contoh benda elektronik, salah satunya adalah Raspberry Pi. Teknologi ini memiliki kemampuan memberikan informasi secara otomatis dan real time. Salah satu pemanfaatan perkembangan teknologi ini di bidang perikanan adalah sistem pemantauan air kolam. Pada prakteknya, para pembudidaya ikan lele masih melakukan pemantauan tersebut secara konvensional yaitu dengan cara mendatangi kolam ikan. Hal ini berpengaruh terhadap efisiensi waktu dan keefektifan kerja pembudidayaan ikan.Pada penelitian ini dikembangkan alat yang berfungsi untuk membantu memantau dan mengontrol kualitas air kolam ikan lele berbasis Internet of Things. Piranti yang diperlukan adalah sensor keasaman (pH), sensor suhu dan sebuah relay untuk mengatur aerator oksigen air. Data dari sensor-sensor tersebut direkam oleh Raspberry Pi untuk kemudian diolah menjadi informasi sesuai kebutuhan pengguna melalui perantara internet secara otomatis. Selanjutnya data-data tersebut dapat ditampilkan dengan berbagai macam platform, salah satunya dengan model mobile web.  Hasil uji menunjukan bahwa pengembangan teknologi Internet of Things  pada sistem ini dapat membantu pembudidaya untuk melakukan pemantauan terhadap kualitas air secara otomatis. Sistem otomasi yang dikembangkan menjanjikan peningkatan keberhasilan dalam pembudidayaan ikan lele. AbstractFor recent years, the Internet of Things becomes the topic interest of improvement based on technologies that have the concept of extending the benefits of an object that is connected to an internet constantly. This technology has the ability to provide information automatically and real time. One of expansion in the field of fishery is the water ponds monitoring system. In the fact, the catfish farmers are still doing conventional monitoring by coming to the fish pond. This could affects the efficiency of time and effectiveness of fish cultivation work.In this research, the systems that can monitor and control the quality of catfish water ponds based on the Internet of Things is proposed. The necessary tools are acidity sensor (pH), temperature sensor and a relay to adjust water oxygen aerator. The data sensors have been recorded by Raspberry Pi that processed into information according to user needs through internet automatically. Furthermore, these data have been displayed with a variety of platforms, one with a mobile web model.The results shows that the system based on Internet of Things technology can monitor the water quality automatically. The automation system promises the productivity of catfish farming.
Analisis Performa Metode Extreme Learning Machine dan Multiple Linear Regression dalam Prediksi Produksi Gula Ananta, Ahmadi Yuli; Ariyanto, Rudy; Rozi, Imam Fahrur; Arianto, Rakhmat
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29626

Abstract

Sugar is a crucial commodity in Indonesia, with demand increasing annually. Variations in sugar production require accurate prediction strategies for industrial planning. This study aims to analyze the performance of the Extreme Learning Machine (ELM) and Multiple Linear Regression (MLR) methods in predicting sugar production. This research employs a quantitative experimental approach, with sugar production data during the 2020-2023 milling period as the research subject. Data collection techniques involve observation and documentation, while data analysis techniques utilize Mean Absolute Percentage Error (MAPE) and 10-Fold Cross-Validation to measure model accuracy. The results indicate that ELM has a lower error rate (MAPE 16.06%) compared to MLR (MAPE 27.90%), making it more effective in capturing complex sugar production patterns. Implementing this model in a web-based system also enables more efficient production monitoring. The ELM method proves to be superior in predicting sugar production and can be integrated into industrial systems to support data-driven decision-making. Future research can explore other predictive models, such as deep learning, and consider external factors like weather and soil conditions to enhance accuracy.
Problematika Relawan: Pendampingan Spiritualitas dan Religiusitas Kristen Anak Difabel Kristen Chrisnatalia, Desy; Damanik, Evalina Chrisna; Ariyanto , Rudy; Wenardy, Anastasia; Tannia, Mellen
INKLUSI Vol. 9 No. 1 (2022)
Publisher : PLD UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijds.090103

Abstract

The limitation of children with disabilities raises the idea of the barriers of the church and church members in developing spiritual and religious environments. This paper portrays an exploratory study that explores the perceptions of companions or volunteers on the spirituality and religiosity of Christian children with disabilities. Data were collected by focus group discussions among five participants. The finding shows that the mentoring process needs to be criticized, which links the spirituality and religiosity of children with disabilities to praying and singing hymns. The church has not fully implemented inclusiveness both in physical facilities and services. Families have an essential role in developing the spirituality and religiosity of children with disabilities. Characteristics of children more or less hinder the companion in facilitating the development of spirituality and religiosity of children with disabilities. Keterbatasan anak penyandang disabilitas memunculkan gagasan tentang hambatan gereja dan anggota gereja dalam mengembangkan lingkungan spiritual dan keagamaan. Tulisan ini menggambarkan sebuah studi eksplorasi yang menggali persepsi pendamping atau relawan terhadap spiritualitas dan religiusitas anak-anak penyandang disabilitas Kristen. Data dikumpulkan dengan diskusi kelompok terfokus di antara lima peserta. Temuan menunjukkan bahwa proses pendampingan perlu dikritisi, yang mengaitkan spiritualitas dan religiusitas anak difabel dengan berdoa dan menyanyikan lagu-lagu pujian. Gereja belum sepenuhnya menerapkan inklusivitas baik dalam fasilitas fisik ataupun pelayanan. Keluarga memiliki peran penting dalam mengembangkan spiritualitas dan religiusitas anak berkebutuhan khusus. Karakteristik anak sedikit banyak menghambat pendamping dalam memfasilitasi perkembangan spiritualitas dan religiusitas anak dengan disabilitas.
Implementasi Website Profil Sebagai Strategi Peningkatan Penjualan Di Toko Kue Macaron Tuffero Ahmadi Yuli Ananta; Rudy Ariyanto; Rakhmat Arianto; Imam Fahrur Rozi; Erfan Rohadi; Farida Ulfa
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.394

Abstract

This community service activity was carried out with the aim of enhancing the competitiveness and brand image of Macaron Tuffero through the development of a Profile Website as an effective and sustainable digital promotion medium. The partner of this program is the Macaron Tuffero SME, which operates in the production of cakes and desserts, located in Dau District, Malang Regency. The activity involved the business owner and staff as primary participants who collaborated actively with the community service team from Politeknik Negeri Malang. The main problem faced by the partner was the limited use of digital promotion media and the absence of an official platform to professionally present the business profile. To address this issue, the activity was implemented through five main stages: needs analysis, website design and architecture planning, system development and implementation, testing, and website usage training. The website was developed using the WordPress platform with the WooCommerce plugin to facilitate product catalogs and online ordering features. The results show that the developed website functions properly, consistently presents the business’s visual identity, and integrates with various social media and marketplace platforms. The website also provides convenience for the business owner to independently update content. Overall, this community service program successfully delivered a practical digital solution that contributes to marketing capacity enhancement and supports digital transformation among SMEs in the technology-based economy era.
Logistic Regression-Based Classification of Food Security Vulnerability in East Java Districts Ahmadi Yuli Ananta; Rudy Ariyanto; Rakhmat Arianto; Imam Fahrur Rozi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6002

Abstract

The problem addressed in this study is the limited capacity of district-level food-security monitoring in Indonesia to anticipate deterioration in the following year, particularly when prediction relies on short longitudinal histories and must account for repeated observations, class imbalance, temporal change, and regional variation. The method involved constructing 2,056 temporally ordered prediction instances from Food Security Index data covering 514 Indonesian districts and cities during 2019–2024, representing six regional indicators through their current values and annual changes, and evaluating Logistic Regression, Random Forest, and eXtreme Gradient Boosting through district-grouped crossvalidation, alternative imbalance treatments, and an untouched 2023–2024 out-of-time test; temporal ablation, cluster-robust Logistic Regression, SHapley Additive exPlanations, sensitivity analysis, anddirect assessment in East Java were subsequently conducted. The result showed that Logistic Regression achieved the strongest screening-oriented performance, with a recall of 0.690, an F1-score of 0.450, a Receiver Operating Characteristic Area Under the Curve of 0.615, and a Precision–Recall Area Under the Curve of 0.404, while annual-change features improved F1-score and Precision–Recall Area Under the Curve across all three classifiers. However, performance declined in East Java, where two of four deterioration cases were detected, and 22 false-positive warnings were generated. The implication is that parsimonious temporal features provide useful predictive information beyond current regional conditions, although the model is more appropriate for screening and prioritization than for autonomous administrative classification, while operational use requires local calibration, longitudinal data auditing, threshold assessment, and validation across additional provinces and later annual transitions.
Co-Authors Adevian Fairuz Pratama Adhitama, Dodik Widya Ahmadi Yuli Ananta Alfian Ardiyanta R Alfian Dwi Cahyo Amalia Amalia Andika Kurnia Adi Pradana Andika Kurnia Adi Pradana, Andika Kurnia Annisa Puspa Kirana Annisa, Diina Itsna Anugrah Nur Rahmanto Ardiyanta R, Alfian Ari Kuswinda Ari Kuswinda, Ari Ariadi Retno Tri Hayati Ririd Atiqah Nurul Asri Awan Setiawan Ayu, Tiara Imas Ayunda Prima Dewi Bagas Setya Dian Nugraha Bobby Risaldo Agung Putra Brahmantyo, Haryo Vendy Budiarti, Arry Cadea Mikha Pasma Cahyo, Alfian Dwi Chrisnatalia, Desy Christine Puspa Sanjaya Damanik, Evalina Chrisna Devany Christabella Wijaya Devisia, Vinny Aghistnaa Dewi, Ayunda Prima Diina Itsna Annisa Dika Rizky Yunianto DWI PUSPITASARI Dwi Puspitasari Dwi Puspitasari Dwi puspitasari Dyah Ayu Irawati Ed Dien, Habibie Eka Larasati Amalia Ekojono Ekojono Ekojono Ekojono, Ekojono Erfan Rohadi Ericawati, Fifi Fahrur R, Imam Farida Ulfa Fifi Ericawati Fitria, Nailil Florena Galatia Mahardika Frans Goklas Parningotan Haksomo, Randy Purbo Haryo Vendy Brahmantyo Hendra Pradibta Herlina Prastiwi Imam Fahrur R Imam Fahrur Rozi Imam Fahrur Rozi Imam Fahrur Rozi Imam Fahrur Rozi Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Indrazno Siradjuddin Inggrid Yanuar Risca Irawan, Ferry Buyung Bakhtiar Luqman Affandi Luqman Affandi Misbahudin Moch Zawaruddin Abdullah Muhammad Sofiul Fuad Ruslan Muhammad Thaifururrahman Nabilah Argyanti Ardyningrum Nabilah Argyanti Ardyningrum Nailil Fitria Noprianto, Noprianto Nugraha, Bagas Setya Dian Nurrahma, Anisa Rizki Odhitya Desta Triswidrananta Parningotan, Frans Goklas Pasma, Cadea Mikha Prastiwi, Herlina Pratama, Asa Nara Rahmad, Cahya Rahmanto, Anugrah Nur Rakhmat Arianto Rakhmat Arianto Randy Purbo Haksomo Ratih Indri Hapsari Retno Damayanti Retno Damayanti Soejoedono Risca, Inggrid Yanuar Ronilaya, Ferdian Rosa Andrie Asmara Sanjaya, Christine Puspa Saputra, Zainal Ulu Prima Septian Enggar Sukmana Sholiha, Afifah Sofian Efendi, Fery Tannia, Mellen Tiara Imas Ayu Toga Aldila Cinderatama Ulla Delfana Rosiani Usman Nurhasan Vinny Aghistnaa Devisia Vivi Nur Wijayaningrum Vivin Ayu Lestari Wahyuni Sofiana Wahyuni Sofiana, Wahyuni Wenardy, Anastasia Widito, Sasmojo Yan Watequlis Syaifudin Yoppy Yunhasnawa Yuniari, Nilam Yusniar Alfani Zakaria, Arief Syukron Zulmy Alhamri, Rinanza