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All Journal Teknika Prosiding SNATIKA Vol 01 (2011) VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Pendidikan dan Konseling JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Applied Data Sciences Informanika KLIK: Kajian Ilmiah Informatika dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa CSRID Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Devi Udariansyah
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Perbandingan Klasifikasi Jenis Sampah Menggunakan Convolutional Neural Network Dengan Arsitektur ResNet18 dan ResNet50 Christin Evasari Nainggolan; Muhammad Nasir; Fatoni; Devi Udariansyah
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Complex problems occur in dealing with waste, both in developing and developed countries, such as Indonesia. According to data from the Ministry of Environment and Forestry, in 2022 the total waste pile will reach 34,439,338.12 tons per year. In this research, machine learning will be used by comparing CNN architecture, ResNet18 with ResNet50, for the classification of waste types. This research uses 2527 images of garbage image data consisting of 6 classes, namely cardboard, glass, metal, paper, plastic and trash. Convolutional Neural Network is a component of the Deep Neural Network method that has the ability to identify objects in images with a high level of complexity. From the ResNet18 model test in this study, the accuracy was 98.69% and the test results on ResNet50 resulted in an accuracy of 99.41%. The precision and recall results of both models reflect excellent performance and accuracy of around 99%. So it can be concluded that both CNN models, ResNet18 and ResNet50, have excellent performance in classifying garbage images.
Implementation of Web Engineering in the Design and Development of the Website Portal for SMA Negeri 1 Martapura Bhagaskara, Dewa Nihan; Udariansyah, Devi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2220

Abstract

This research aims to improve the quality of educational services at SMA Negeri 1 Martapura by developing a website portal that is more attractive and user-friendly. Even though SMA Negeri 1 Martapura has an accessible website, there are shortcomings in the interface and menu structure that are less attractive to users. To overcome these challenges, this research focuses on developing a new website portal using the PHP programming language and MySQL as a database. The resulting website portal is designed to improve user interaction with a more intuitive interface and more comprehensive features. By involving 53 permanent teachers (PNS/P3K), ten non-permanent teachers, and 953 active students, the development of the SMA Negeri 1 Martapura website portal aims to provide better services to the entire school community. With an attractive and easy-to-use website portal, it is hoped that it will improve the user experience in accessing information about schedules, activities, and various other educational services offered by SMA Negeri 1 Martapura. Overall, this research aims to positively contribute to increasing the effectiveness and efficiency of academic services at SMA Negeri 1 Martapura through sophisticated and user-friendly information technology.
Rekayasa Web Engineering Sistem Layanan Publik pada Kantor Camat Rawas Ilir Kabupaten Muratara Sari, Putri Purnama; Devi Udariansyah
Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Vol 5 No 2 (2023): Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya
Publisher : STMIK Bina Nusantara Jaya Lubuk Linggau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52303/jb.v5i2.116

Abstract

Kantor Camat Kecamatan Rawas Ilir selama ini dalam melakukan pengolahan data layanan publik pada masyarakat masih dilakukan secara manual dalam hal ini masih dilakukan dengan mengisi formulir yang sudah disediakan oleh petugas kantor kecamatan. Adapun layanan masyarakat yang ada di Kantor Camat Kecamatan Rawas Ilir antara lain: pengurusan Kartu Keluarga (KK), pengurusan KTP, pengurusan izin pemasangan reklame, pengurusan izin usaha mikro dan kecil, dan pengurusan IMB. Seluruh berkas pendukung pengajuan layanan publik yang ada di Kantor Camat Kecamatan Rawas Ilir masih berbentuk hardcopy yang di berikan kepada petugas Kantor Camat Kecamatan Rawas Ilir. Hal ini juga yang menyebabkan berkas pengajuan yang ada di Kantor Camat Kecamatan Rawas Ilir jadi menumpuk sehingga datanya belum tertata dengan rapih. Solusi yang efektif dari permasalahan yang ada adalah dengan membangun sistem layanan publik yang berbasis web sehingga masyarakat dapat melakukan pengajuan perizinan atau hanya ingin sekedar mencari informasi prosedur layanan di Kantor Camat Kecamatan Rawas Ilir dapat dilakukan dimana saja. Sistem informasi layanan publik berbasis web ini dibangun dengan menggunakan bahasa pemrograman PHP dan MySQL sebagai database untuk menyimpan datanya
Recommender System for Book Review based on Clustering Algorithms Udariansyah, Devi; Kurniawan, Tri Basuki; Dewi, Deshinta Arrova; Zakaria, Mohd Zaki; Hanan, Nur Syuhana binti Abd
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.492

Abstract

Book reviews show the expression of the reviewers that are to be evaluated and describe the book. Today, the amount of the book is growing rapidly, and it offers people a lot of choices. The recommender system on book reviews is mostly mentioned, and we will recommend a book based on the keyword selected. This study highlights two primary objectives. The first objective is to identify the keywords of the book review, and the last objective is to design and develop a book review analysis visualization using the result of the k-means clustering algorithm. The methodology of this research consists of ten phases, which start with the preliminary study, knowledge acquisition and analysis phase, data collection phase, data pre-processing phase, and modeling phase. The research then continues with the design and implementation, dashboard development, testing and evaluation, and finally, the documentation phase. The data from this study is scraped from Amazon.com and focuses on three genres: Fiction and Fantasy, Mystery and Thriller, and Romance. All the data will be clean before it can be applied to k-means clustering. The result of clustering will define the keywords for every genre and will compare with the keywords for each book that was collected from Amazon.com.
Performance Analysis of the SiJaspro Application as a Tool for Physical Fitness Testing at Jasdam II Sriwijaya Huda, Nurul; Halim, R. M. Nasrul; Udariansyah, Devi; Dianto, Tri Agung
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3145

Abstract

Technological advances have affected many areas of daily life, including sports. Calculations are essential to achieving physical exercise goals. To meet this need, Jasdam II Sriwijaya has created an application called SiJaspro that supports training by offering important data and calculations. This application is designed to assess fitness scores, provide training materials, and provide information related to Jasdam II Sriwijaya. Although this application has just been launched, it already has bugs on some pages, has difficulty displaying user data correctly, and is only compatible with Android devices. The PIECES method—Performance, Information and Data, Economics, Control and Security, Efficiency, and Service—has been applied to assess the performance of the application in this study. This analysis aims to assess the performance of the application in Jasdam II Sriwijaya and evaluate it against the objectives that have been set. GTMetrix is used for speed and performance testing, and Google Transparency Report is used for security testing.
PERANCANGAN DESIGN APLIKASI MOBILE TOPUP GAME MENGGUNAKAN METODE DESIGN THINKING Fallah Abrar Al Karim, Kiagus; Udariansyah, Devi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.13045

Abstract

Industri game berkembang pesat, mendorong kebutuhan akan layanan top-up yang cepat dan efisien. Namun, banyak pengguna menghadapi permasalahan seperti proses transaksi yang rumit, kurangnya transparansi harga, dan minimnya fitur yang meningkatkan pengalaman pengguna. Penelitian ini bertujuan untuk merancang prototipe platform digital top-up game yang intuitif dan user-friendly menggunakan metode Design Thinking. Metode ini melibatkan lima tahapan: Empathize, Define, Ideate, Prototype, dan Test. Data dikumpulkan melalui wawancara dan survei untuk memahami kebutuhan pengguna, kemudian digunakan dalam perancangan prototipe menggunakan Figma. Prototipe diuji melalui usability testing untuk mengevaluasi navigasi, estetika, dan fungsionalitas aplikasi. Hasil pengujian menunjukkan bahwa platform ini mampu meningkatkan kemudahan transaksi dan pengalaman pengguna, meskipun beberapa aspek masih perlu disempurnakan. Penelitian ini diharapkan dapat menjadi referensi dalam pengembangan layanan top-up game yang lebih inovatif dan responsif terhadap kebutuhan pengguna.
Analisis Partisipatif Ketersediaan Bahan Baku Udang Berdasarkan Musim untuk Mendukung Produksi UMKM Kerupuk di Desa Bunga Karang Syifa Ul Walidaien; Udariansyah, Devi
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jdt.v5i2.1487

Abstract

Kegiatan pengabdian masyarakat ini berfokus pada analisis ketersediaan bahan baku udang berdasarkan musim untuk mendukung kelangsungan produksi UMKM kerupuk udang di Desa Bunga Karang. Pendekatan partisipatif yang digunakan melibatkan pelaku UMKM dan nelayan lokal secara langsung melalui observasi dan wawancara semi-terstruktur. Hasil menunjukkan bahwa produksi sangat dipengaruhi oleh fluktuasi musim dalam hal ketersediaan bahan baku. Pada musim kemarau, pasokan dari nelayan lokal melimpah dan harga lebih terjangkau. Sebaliknya, pada musim hujan pasokan menurun dan UMKM harus membeli udang dari pasar luar dengan harga yang lebih tinggi. Rekomendasi yang disampaikan antara lain penyimpanan stok beku saat musim panen, pencatatan persediaan sederhana, dan pengadaan bahan baku secara kolektif. Kegiatan ini memberikan kontribusi nyata terhadap ketahanan ekonomi masyarakat desa secara berkelanjutan dan meningkatkan kapasitas pengelolaan usaha UMKM. Secara keilmuan, program ini memperkuat integrasi antara analisis rantai pasok lokal dengan pendekatan pemberdayaan berbasis KKN tematik, yang dapat direplikasi di wilayah lain untuk keberlanjutan jangka panjang.
Pengembangan Modul Interaktif Multimedia untuk Digitalisasi Pembelajaran Tematik Pada Siswa Sekolah Dasar di Desa Banyu Urip Novely saputri, Dhini; Udariansyah, Devi
JDISTIRA - Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jdt.v5i2.1493

Abstract

Kemajuan teknologi informasi telah mendorong transformasi digital dalam dunia pendidikan, termasuk pada jenjang sekolah dasar. Penelitian ini bertujuan untuk mengembangkan dan menerapkan modul interaktif berbasis multimedia guna mendukung pembelajaran tematik di SD Negeri 6 Tanjung Lago, Desa Banyu Urip. Modul dirancang menggunakan Canva dan PowerPoint interaktif, dengan elemen visual, animasi, audio, video, serta kuis. Penelitian ini menggunakan pendekatan kualitatif deskriptif melalui tahapan observasi, pengembangan, uji coba, dan evaluasi. Hasil penelitian menunjukkan bahwa penggunaan modul interaktif meningkatkan keterlibatan siswa, mempermudah pemahaman materi, dan membantu guru menyampaikan pembelajaran secara lebih menarik. Temuan ini menunjukkan bahwa modul multimedia interaktif dapat menjadi solusi inovatif dalam mengatasi keterbatasan media pembelajaran digital di sekolah dasar pedesaan.
Perbandingan Klasifikasi Jenis Sampah Menggunakan Convolutional Neural Network Dengan Arsitektur ResNet18 dan ResNet50 Christin Evasari Nainggolan; Muhammad Nasir; Fatoni; Devi Udariansyah
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.1.2024.76-90

Abstract

Complex problems occur in dealing with waste, both in developing and developed countries, such as Indonesia. According to data from the Ministry of Environment and Forestry, in 2022 the total waste pile will reach 34,439,338.12 tons per year. In this research, machine learning will be used by comparing CNN architecture, ResNet18 with ResNet50, for the classification of waste types. This research uses 2527 images of garbage image data consisting of 6 classes, namely cardboard, glass, metal, paper, plastic and trash. Convolutional Neural Network is a component of the Deep Neural Network method that has the ability to identify objects in images with a high level of complexity. From the ResNet18 model test in this study, the accuracy was 98.69% and the test results on ResNet50 resulted in an accuracy of 99.41%. The precision and recall results of both models reflect excellent performance and accuracy of around 99%. So it can be concluded that both CNN models, ResNet18 and ResNet50, have excellent performance in classifying garbage images.
Pelatihan Penggunaan Sistem Informasi Kerja Praktek dan Tugas Akhir Digital di PT Pertamina Hulu Rokan Zona 4 Prabumulih Ulfa, Maria; Azizah, Shavira Nur; Misinem, Misinem; Bakti, Ahmad Mutakin; Suryayusra, Suryayusra; Udariansyah, Devi
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 5 (2025): Juli
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i5.2662

Abstract

Kegiatan pelatihan ini bertujuan untuk meningkatkan efektivitas dan efisiensi proses administrasi Kerja Praktik (KP) dan Tugas Akhir (TA) di PT Pertamina Hulu Rokan Zona 4 Kota Prabumulih melalui penggunaan sistem informasi berbasis website. Sistem ini menggantikan metode manual sebelumnya yang menggunakan email dan Excel, dengan menyediakan fitur registrasi online, unggah dokumen, verifikasi, hingga monitoring kegiatan. Metode pelaksanaan dilakukan melalui pelatihan langsung, simulasi penggunaan, dan evaluasi pemahaman. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap penggunaan sistem serta efisiensi kerja administratif. Sistem ini juga memberikan kemudahan pelacakan data dan mengurangi risiko kehilangan data. Kesimpulannya, pelatihan ini memberikan dampak positif dalam peningkatan kompetensi pegawai dan optimalisasi proses administrasi KP/TA.
Co-Authors Agustini, Eka Puji Aji, Yudhi Satria Azizah, Shavira Nur BAKTI, AHMAD MUTAKIN Bhagaskara, Dewa Nihan Christin Evasari Nainggolan Christin Evasari Nainggolan Dewi, Deshinta Arrova Dianto, Tri Agung Dwi Wahyuni, Otarina Fallah Abrar Al Karim, Kiagus Fatoni Firamon Syakti Hadi Syaputra Hadi Syaputra Hadinata, Novri Halim, R. M. Nasrul Hanan, Nur Syuhana binti Abd Ibrahim Rahmat Isnawijayani Kurniawan, Tri Basuki Maria Ulfa Misinem, Misinem Muhammad Firmansyah Muhammad Nasir Novely saputri, Dhini Nurul Huda Putri Purnama Sari, Putri Purnama Robbi Lesmana Sapriyogi, Asta Suryayusra, Suryayusra Syazili, Ahmad Syifa Ul Walidaien Wulan Damayanti Yudha Harimurti Zakaria, Mohd Zaki