p-Index From 2021 - 2026
12.758
P-Index
This Author published in this journals
All Journal Dinamik Jurnal Buana Informatika Sistemasi: Jurnal Sistem Informasi Tech-E Jurnal Ilmiah FIFO Jurnal CoreIT Jurnal TAM (Technology Acceptance Model) ILKOM Jurnal Ilmiah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER BEES: Bulletin of Electrical and Electronics Engineering Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Swarnadwipa SANISKALA: Jurnal Pengabdian Masyarakat Jurnal TAM (Technology Acceptance Model) Journal of Decision Support System Research Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA)
Claim Missing Document
Check
Articles

Program Sekolah Binaan : In House Training Peningkatan Kompetensi Public Speaking Dalam Kepemimpinan Siswa Di SMAN 2 Gedong Tataan Sulistiyawati, Ari; Yulianti, Tien; Rahmanto, Yuri; Fitratullah, M.; Priandika, Adhie Thyo
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 4, No 2 (2023): Volume 4, Nomor 2, September 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v4i2.3199

Abstract

Kegiatan Pengabdian kepada Masyarakat ini dilakukan pada mitra sekolah binaan di SMA Negeri 2 Gedong Tataan. Program yang dilakukan adalah In house training peningkatan kompetensi public speaking yang melibatkan semua pengurus OSIS dan perwakilan siswa kelas X dan XI sesuai program kerja yang disetujui oleh pihak sekolah.  Permasalahan yang dialami oleh mitra yaitu: belum optimalnya kemampuan public speaking untuk menunjang kepemimpinan yang berkualitas dalam organisasi di sekolah. Solusi yang diusulkan untuk mengatasi permasalahan tersebut adalah peningkatan softskill bagi siswa terpilih untuk mengikuti bimbingan dan pelatihan public speaking dalam keterampilan berbicara. Target luaran dari kegiatan PKM Sekolah Binaan ini adalah 1) peningkatan kemampuan siswa yang diukur melalui kuesioner, 2) artikel publikasi di jurnal ABDIMAS terakreditasi nasional, 3) artikel berita kegiatan yang dishare di media massa online,  dan 4) video kegiatan di link youtube LPPM Teknokrat
Implementasi Teknologi Berbasis Web untuk Efesiensi Waktu Pencarian Lahan Parkir: Implementation of Web-Based Technology for Efficient Time to Search for Parking Spaces Yudha, Sandy; Rahmanto, Yuri; Styawati, Styawati
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1269

Abstract

Penelitian ini bertujuan untuk mengimplementasikan teknologi berbasis web guna meningkatkan efisiensi waktu pencarian lahan parkir di kota-kota metropolitan. Sistem yang dikembangkan diharapkan dapat memberikan informasi real-time tentang ketersediaan lahan parkir, memandu pengguna menuju tempat parkir yang sesuai, dan mengurangi waktu pencarian secara signifikan. Metode penelitian ini melibatkan perancangan sistem berbasis web, dan pembuatan prototipe. Data ketersediaan lahan parkir akan dikumpulkan melalui sensor IR. Dan akan dikirimkan  dari Mikrokontroler ESP 8266 Ke Website parkir. Implementasi teknologi berbasis web untuk efisiensi waktu pencarian lahan parkir diharapkan dapat memberikan hasil positif. Pengguna akan dapat mengakses informasi real-time tentang ketersediaan lahan parkir, mengurangi waktu pencarian, dan menghindari kepadatan lalu lintas yang tidak perlu. Selain itu, penerapan teknologi ini diharapkan dapat meningkatkan pengelolaan lahan parkir secara keseluruhan dan memberikan efek  positif terhadap keberlanjutan lingkungan. Dengan menggabungkan teknologi berbasis web dan sensor IR, sistem ini dapat menjadi solusi efektif untuk meningkatkan efisiensi waktu pencarian lahan parkir yang semula tanpa website parkir memakan waktu 29 detik menjadi 16 detik saja sehingga dapat meminimalisir waktu sebanyak 13 detik. Implikasi positif dari penelitian ini diharapkan dapat memberikan kontribusi terhadap kemajuan kota-kota modern menuju sistem transportasi yang lebih efisien dan berkelanjutan.
Penerapan Kombinasi Metode Pembobotan ROC dan SAW dalam Rekomendasi Media Marketing Bagi UMKM Rahmanto, Yuri; Mesran; Sintaro, Sanriomi; Setiawansyah
Journal of Decision Support System Research Vol. 1 No. 3 (2024): May 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i3.58

Abstract

Problems in choosing marketing media for MSMEs are often related to limited resources and knowledge. One of the main challenges is in choosing the right media platform according to the characteristics of their target market. Due to the large selection of social media and other digital channels, MSMEs often struggle to determine where they should focus or allocate their marketing budgets effectively. The application of a combination of ROC and SAW weighting methods in media marketing recommendations for MSMEs can provide more accurate and relevant results in the selection of promotional media. With this approach, MSMEs can more easily identify the most effective marketing media based on various factors such as cost, audience reach, and promotion effectiveness. The implementation of this combination of methods helps MSMEs in optimizing their marketing budgets, increasing the visibility of products or services, and ultimately, encouraging faster and more sustainable business growth Media marketing is essential for MSMEs to increase the visibility and sales of their products. Through the right combination of media marketing strategies, MSMEs can build strong brands, increase customer loyalty, and ultimately achieve sustainable business growth. The results of MSME media marketing recommendations using a decision support system approach using the ROC and SAW weighting methods show that the first rank with a final score of 0.7919 was obtained by Email Marketing, the second rank with a final score of 0.7314 was obtained by Tiktok Ads, and the third rank with a final score of 0.6908 was obtained by Facebook Ads.
OPTIMALISASI SISTEM INFORMASI MANAJEMEN PERSEDIAAN BERBASIS DIGITAL UNTUK EFISIENSI OPERASIONAL PADA PT. ASIA PANGAN RAYA Andika, Reza; Rahmanto, Yuri
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 11 (2025): JPTI - November 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1133

Abstract

Pengelolaan persediaan berbasis Microsoft Excel di PT. Asia Pangan Raya menghadapi tantangan serius, seperti keterlambatan pembaruan data, kesalahan input, dan kurangnya integrasi antar departemen, yang mengganggu efisiensi operasional dan responsivitas terhadap fluktuasi permintaan pangan beku. Penelitian ini bertujuan mengevaluasi efektivitas penerapan sistem digital berbasis cloud, Mekari Jurnal.id, untuk mengatasi kelemahan sistem manual dan meningkatkan efisiensi manajemen persediaan. Menggunakan pendekatan kualitatif dengan metode etnografi, fenomenologi, dan analisis PIECES, penelitian ini mengkaji proses kerja, pengalaman karyawan, dan dinamika operasional melalui observasi, wawancara, dan dokumentasi dari bulan Januari hingga Maret 2025 di Bandar Lampung. Hasil penelitian menunjukkan bahwa sistem manual menyebabkan duplikasi data, keterlambatan pelaporan, dan ketidakakuratan stok, yang berdampak pada keterlambatan distribusi dan risiko kerugian.Implementasi Mekari Jurnal.id meningkatkan akurasi data, mempercepat pencatatan real-time, dan mengintegrasikan alur kerja antar departemen, meskipun tantangan transisi seperti resistensi karyawan dan kebutuhan pelatihan tetap muncul. Penelitian ini merekomendasikan strategi implementasi bertahap dan pelatihan intensif untuk memastikan adopsi teknologi yang sukses. Dengan pendekatan ini, perusahaan distribusi pangan menengah di Indonesia dapat mengoptimalkan operasional, meningkatkan daya saing, dan mendukung ketahanan rantai pasok dalam menghadapi dinamika pasar yang kompetitif.
Decision Support System for Determining Promotion Using a Combination of Entropy and Weighted Aggregated Sum Product Assessment Yudhistira, Aditia; Rahmanto, Yuri; Pasaribu, A. Ferico Octaviansyah; Yasin, Ikbal; Aldino, Ahmad Ari; Setiawansyah, Setiawansyah
Jurnal Ilmiah FIFO Vol 17, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2025.v17i2.005

Abstract

Decision-making in determining employee promotions often faces challenges due to the subjectivity of assessments. To address this issue, this research develops a decision support system by combining the Entropy method and the Weighted Aggregated Sum Product Assessment (WASPAS). The Entropy method is used to objectively determine the weights of criteria based on data variation, while the WASPAS method is applied to comprehensively rank alternatives through the integration of the Weighted Sum Model (WSM) and Weighted Product Model (WPM). The test results on seven candidates showed that Candidate A-016 ranked first with a score of 0.9733, followed by Candidate A-013 with a score of 0.7454, and Candidate A-011 with a score of 0.5386. Meanwhile, the candidate with the lowest score was Candidate A-017 with a value of 0.3456. These findings prove that the combination of Entropy and WASPAS methods can produce a more objective, transparent, and solid basis for management to make fair and rational decisions in the promotion process.
Faktor-Faktor yang Mempengaruhi Siswa SMA Al-Kautsar dalam Penggunaan Media Pembelajaran Berbasis Metaverse Putra, Satya Setiawan; Suryono, Ryan Randy; Rahmanto, Yuri
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10311

Abstract

This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceived interactivity, perceived sociability, perceived enjoyment, perceived ease of use, perceived security, and social influence on satisfaction. A quantitative approach was employed by distributing questionnaires to students, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that satisfaction is a very strong and statistically significant predictor of continuous intention to use metaverse applications (β = 0.716, p < 0.001). The six hypothesized antecedent variables were not found to have a significant individual effect on satisfaction. In conclusion, for digital native students at Al-Kautsar Senior High School, factors such as ease of use, interactivity, and enjoyment have shifted from being drivers of satisfaction to becoming basic expectations (hygiene factors). Satisfaction itself emerges as the primary determinant, likely influenced by more substantive elements such as content quality or pedagogical design rather than merely the technical features of the platform.
Digitalisasi Sistem Perpustakaan Menggunakan Restful Web Service Ketut Risma Febi Kusuma; A Ferico Octaviansyah P; Yuri Rahmanto; Angga Bayu Santoso Angga; Fadhila Shelly Amalia; Ikbal Yasin
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 1 (2025): Volume 5, Nomor 1, June 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i1.551

Abstract

Perkembangan teknologi informasi telah mendorong berbagai institusi, termasuk instansi pemerintahan, untuk bertransformasi menuju sistem digital yang efisien, terstruktur dan terintegrasi. Salah satu aspek yang terdampak adalah sistem pengelolaan perpustakaan, yang menuntut kemudahan akses, kecepatan layanan dan interoperabilitas lintas platform. Penelitian ini bertujuan untuk mengembangkan sistem perpustakaan digital dengan mengimplementasikan RESTful Web Service sebagai solusi penghubung antara sisi klien dan server. Studi kasus dilakukan pada perpustakaan internal DPRD Provinsi Lampung yang masih menggunakan sistem semi-manual dengan keterbatasan pada integrasi dan akses data. Sistem yang dibangun menyediakan fitur input data buku, transaksi peminjaman, serta menggunakan format data JSON dan metode HTTP (GET, POST, PUT, DELETE) untuk pertukaran informasi. RESTful API memberikan keunggulan dalam hal modularitas kode serta kemudahan integrasi dengan aplikasi eksternal. Hasil implementasi menunjukkan sistem lebih efisien, dapat diakses secara luas melalui berbagai perangkat, dan memiliki tingkat reusabilitas yang tinggi. Penelitian ini menyimpulkan bahwa RESTful Web Service merupakan pendekatan yang tepat dalam membangun sistem perpustakaan digital yang modern, scalable dan aman.
Implementasi Dempster-Shafer Theory Sebagai Mesin Inferensi Pada Sistem Pakar Diagnosa Penyakit Cerebral Palsy Moh. Erkamim; Mursalim Tonggiroh; Novi Yona Sidratul Munti; Yuri Rahmanto
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6940

Abstract

Early diagnosis and appropriate intervention are very important to minimize the long-term impact of Cerebral Palsy in children. Currently, the diagnosis of Cerebral Palsy in children is often based on clinical observations, developmental tests, and brain imaging. It requires medical knowledge and careful observation by an experienced health professional, which is often difficult to access in many areas. For this reason, early diagnosis by parents is very important for taking action against children suffering from Cerebral Palsy. This research aims to develop an expert system that can diagnose Cerebral Palsy in children using the Dempster-Shafer Theory algorithm as an inference engine to make it easier to diagnose and produce the right diagnosis. The Dempster-Shafer Theory approach works by calculating the level of confidence or belief in a hypothesis or certain event based on existing evidence. An expert system built on a website has the ability to make diagnoses based on symptoms and display diagnosis results, definitions of the type of Cerebral Palsy disease in children, as well as actions or methods of treating it. Based on the test results, the accuracy level obtained was a value of 90% and was classified as "Good" criteria.
Sistem Pendukung Keputusan Kenaikan Jabatan Bagian Produksi Menggunakan ROC dan ARAS Yuri Rahmanto
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 4 (2024): Volume 2 Number 4 December 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i4.137

Abstract

Promotion in the production department is an important step that can improve the company's performance and operational efficiency. By promoting highly competent employees, leadership abilities, and a deep understanding of the production process, companies can ensure that production teams are led by individuals who are able to effectively manage resources, drive innovation, and improve output quality. One of the main problems is the existence of subjectivity in performance evaluation, where decisions can be influenced by personal preferences or inter-individual relationships, rather than on objective performance and competence. The purpose of this study is to provide tools that are easy to use by management in the process of evaluating and promoting employees, in order to support an effective and targeted decision-making process in the production environment by applying rank order centroid (ROC) and additive ratio assessment (ARAS) methods. So that it can make a real contribution in optimizing a fair and data-based promotion process in the production department, as well as increasing employee satisfaction and trust in the company's promotion policies. The result of the promotion recommendation that the candidate who received the highest rank was Candidate 5 with a score of 0.9305. These candidates are assessed as the ones who best meet the set criteria. Candidate 8 and Candidate 2 occupy the next position with values of 0.8684 and 0.8565. The results of this recommendation provide a clear picture of the performance and potential of each candidate, so that it can help the company in making fair and appropriate decisions in the process of promotion in the production department.
Implementasi Sistem Informasi Geografis Berbasis Android pada Destinasi Wisata Buatan di Bandar Lampung Stevani Natasiyah; Rakhmat Dedi Gunawan; Yuri Rahmanto
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 3 No. 3 (2025): Volume 3 Number 3 September 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v3i3.208

Abstract

Objek wisata buatan merupakan salah satu kategori objek wisata yang ada di Bandar Lampung dan tersebar luas di berbagai kecamatan. Sedangkan informasi yang tersedia terkait lokasi, arah, kondisi jalan, dan juga fasilitas yang ada tidak banyak diketahui oleh wisatawan luar maupun lokal. Oleh karena itu, peneliti mengusulkan untuk membangun sebuah aplikasi Android sistem informasi geografis yang akan membantu para wisatawan dalam mencari dan menemukan informasi terkait objek wisata buatan yang ada di Bandar Lampung. Sistem yang dibangun menggunakan metode Protoype sebagai metode pengembangan sistem, dan UML sebagai metode pemodelan perancangan sistem. Dalam membuat User Interface dan membangun aplikasi mobile menggunakan framework Flutter dengan bahasa pemograman Dart, sedangkan text editor dan software yang digunakan adalah Visual Studio Code dan Android Studio. Hasil pengujian yang dilakukan menggunakan metode ISO 25010 menghasilkan bahwa aspek Functional Suitability sebesar 100%, dan aspek Usability sebesar 88,27% yang dapat disimpulkan bahwa perangkat lunak dapat diterima dan telah memenuhi kualitas standar kelayakan perangkat lunak.
Co-Authors ., Rusliyawati Abhishek R Mehta Abhishek R. Mehta Achmad Yudi Wahyudin Adam Saputra Ade Dwi Putra Ade Dwi Putra Ade Surahman Aditia Yudhistira Adiyta Yudistira Ady Chandra Afrianto Afrianto Afrianto Agung Saputra Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Fathurrozi Ahmad Rifki Irliando Aidil Akbar Akhmad Jayadi Alfian, Joni Alita, Debby Almira Devita Putri Amat Damuri Amik Herningsih Anang Burlian Andi Nurkholis Andika, Reza Angga Bayu Santoso Angga Anggun Putri Kinanti Ani Sesanti Aprian Nuriansah Ari Sulistiyawati Arie Qur’ania Arif Dwi Kuncoro Arinda Rifaini Arnando Fajar Sidhiq Arshad, Muhammad Waqas Arsy Berlian Sutarman Aryanto, Heri Asistyasari, Ayuni Bagas Setiawan Benhouzer N.P Pasaribu Bentar Priyopradono Budi Waluyo Daffa Pertama Damayanti Damayanti Damayanti, Damayanti Debby Alita Dedi Darwis Dedi Triyanto Devin Pratama Dyah Aminatun Dyah Ayu Megawaty Eko Bagus Fahrizqi Enda Tri Ifanda Fadhila Shelly Amalia Fatimah Nur Aini Fatriana, Nina Fernando, Yusra Fikih Yuhada Sena Fikri Hamidy Fira Aulia Fitratullah, M. Gunawan, Rakhmat Dedi Handika, H Hari Setiyani Heni Sulistiani Heni Sulistiani Heni Sulistiyani Ida Bagus Suwisma Ikbal Yasin Ikbal Yasin Imam Ahmad Indah Hartati Intan Anggrenia Irwan Tubagus Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Izudin Ismail Jeni Sagita Jeni Sagita Putri Johansyah Johansyah Joko Trianto Joni Alfian Junhai Wang Ketut Risma Febi Kusuma Khoirunnisa, Yosi Kinanti Anggraini Utami Kinanti, Anggun Putri Kurniawan, Arsy Lestari, Ova Lili Andraini Lulud Oktaviani Megawaty, Dyah Ayu Mesran, Mesran Moh. Erkamim Muhammad Akbar Muhammad Alip Pratama Muhammad Bakri Muhammad Irfan Hafidhin Muhammad Najib Dwi Satria Mursalim Tonggiroh Nanang Sadikin Nina Fatriana Nopiah Alpiana Novi Yona Sidratul Munti Nuralia Nuralia Nurhasan Nugroho Palupiningsih, Pritasari Parjito Parjito Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Permata Permata Permata Permata Prastowo, Agung Tri Priandika, Adhie Thyo Priskilia Lovika Putra, Ade Dwi Putra, Satya Setiawan Rahayu, Masnia Recxy Yuda Utama Rendy Ramadhan Rhaishudin Jafar Rumandan Rido Febriansyah Riduwan Napianto Rini Nuraini Rio Andika Rizki Febrianto Rohmat Indra Borman Ryan Randy Suryono S. Samsugi Sahrial Ihsani Ishak Sampurna Dadi Riskiono Sanriomi Sintaro Sari, Priskila Lovika Selfia Agustina Sesanti, Ani Setiawansyah Setiawansyah Shiwi Angelica Cindiyasari Silvia Damayanti Silvia Damayanti Siti Hotijah Sitna Hajar Hadad Stevani Natasiyah Stiawan, Fengky Styawati Styawati Styawati, Styawati suaidah suaidah suaidah suaidah Subhan Subhan Sufiatul Maryana Sumanto Sumanto Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Tri Widodo Trinugi Wira Harjanti Tuti Haryanti Ulum, Faruk Very Hendra Saputra Very Hendra Saputra Wang, Junhai Waqas Arshad, Muhammad Willyan Dafit Prayoga Wulan Agustin yasin, ikbal YOHANA TRI UTAMI, YOHANA TRI Yudha, Sandy Yusuf Faqih Zulhan Amir