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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)
Yuri Rahmanto
Universitas Teknokrat Indonesia
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PERANCANGAN SISTEM INFORMASI GEOGRAFIS KEBUDAYAAN LAMPUNG BERBASIS MOBILE Yuri Rahmanto; Siti Hotijah; . Damayanti
Jurnal Data Mining dan Sistem Informasi Vol 1, No 1 (2020): Agustus 2020
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jdmsi.v1i1.805

Abstract

Provinsi Lampung adalah sebuah Provinsi paling selatan di Pulau Sumatra, dengan ibu kota Bandarlampung. Pada Kantor Kebudayaan belum ada aplikasi untuk mencari informasi lokasi wisata, dan tidak adanya informasi tentang budaya, serta wisata di Kabupaten Lampung Selatan dan Kabupaten Tulang Bawang. Informasi disebarkan melalui blog dan website yang tidak resmi dari pemerintah,Tujuan penelitian ini adalah untuk membuat aplikasi mobile Sistem Informasi Geografis sebagai media pencarian lokasi dan untuk mendapatkan informasi mengenai rumah adat, tari adat, pakaian adat, makanan khas, wisata, dan transportasi di Kabupaten Lampung Selatan dan Kabupaten Tulang Bawang. Metode pengembangan sistem menggunakan metode extreme programming dan perancangan sistem menggunakan UML.Hasil yang dicapai adalah sebuah aplikasi berbasis mobile sistem informasi geografis yang dapat dijadikan sebagai media informasi pariwisata di Kabupaten Lampung Selatan dan Kabupaten Tulang Bawang. Hasil pengujian ISO 9126 yang telah dilakukan dengan melibatkan 50 Responden dapat disimpulkan bahwa kualitas kelayakan perangkat lunak yang dihasilkan secara keseluruhan mempunyai nilai 87,63% maka dinyatakan sistem “Baik” dan layak digunakan.
Optimizing Employee Admission Selection Using G2M Weighting and MOORA Method Yuri Rahmanto; Junhai Wang; Setiawansyah Setiawansyah; Aditia Yudhistira; Dedi Darwis; Ryan Randy Suryono
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.8224

Abstract

An objective and effective employee admission selection process is a crucial step for the success of the organization in achieving its goals. Problems in employee recruitment selection often arise due to a lack of good planning and system implementation, namely decisions are often influenced by personal preferences, stereotypes, or non-relevant factors, thus reducing objectivity in choosing the best candidates. Objective selection ensures that candidate assessments are conducted based on measurable, relevant, and bias-free criteria, so that only individuals who truly meet the company's needs and standards are accepted. The purpose of developing an optimal approach in employee admission selection using G2M weighting and MOORA is to create a more objective, efficient, and accurate selection process. This approach aims to integrate the calculation of criterion weights mathematically, such as those offered by G2M, in order to eliminate subjective bias in determining criterion prioritization. The MOORA method of evaluating alternative candidates is carried out through ratio analysis that takes into account various criteria simultaneously, resulting in a transparent and data-driven ranking. The results of the employee admission selection ranking based on the criteria that have been evaluated, Candidate 3 obtained the highest score of 0.4177, indicating that this candidate best meets the expected criteria. The second position was occupied by Candidate 6 with a score of 0.3886, followed by Candidate 9 with a score of 0.3528. This research contributes to the recruitment process, by providing a more reliable, transparent, and less subjective way of selecting the right candidates for the positions that companies need.
EGA – GAME EDUKASI GEMBIRA ANTI BULLYING UNTUK SISWA SEKOLAH DASAR Kinanti Anggraini Utami; Yuri Rahmanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6634

Abstract

Bullying menjadi masalah yang semakin serius, terutama di bidang pendidikan. Beberapa penelitian telah menunjukkan bahwa bullying menyebabkan dampak psikologis seperti melankolis, apatis, rasa malu yang berlebihan, trauma, dan isolasi sosial. Berbagai dampak psikologis dari bullying pada remaja telah membangkitkan minat akademisi untuk men- ciptakan model intervensi game anti-bullying untuk remaja. Tujuan dari proyek ini adalah untuk mengembangkan model intervensi permainan anti-bullying yang akan mendidik siswa sekolah dasar tentang konsekuensi bullying pada usia dini. Proyek ini selesai dengan pembuatan aplikasi game anti-bullying di Construct 2 untuk siswa sekolah dasar kelas tiga. Berdasarkan temuan penelitian, penulis menyimpulkan bahwa per- mainan "Anti Bullying" dikembangkan secara efektif menggunakan Con-struct 2. Dari hasil penelitian ini menunjukkan bahwa pengetahuan siswa tentang bullying dapat ditingkatkan hingga 50% dengan memainkan game edukasi ini. Analisis pengguna sebelum dan sesudah bermain game menemukan bahwa empat dari tiga belas siswa memahami implikasi dari perilaku bullying. Penulis merekomendasikan agar studi di masa depan meningkatkan dan mengatasi kelemahan penelitian. Penelitian ini menciptakan strategi intervensi permainan anti-bullying untuk anak-anak da- lam bentuk permainan instruksional. Temuan penelitian ini dimaksudkan untuk secara bertahap meminimalkan dampak perilaku bullying pada anak-anak di sekolah yang dimulai sejak usia dini.
Pendekatan Hybrid Data Assessment Weighting dan Simple Additive Weighting untuk Evaluasi Kinerja Operator Produksi pada Industri Elektronik Donaya Pasha; Indah Hartati; Tuti Haryanti; Yuri Rahmanto; Very Hendra Saputra
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 4 No. 4 (2026): Volume 4 Number 4 October 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v4i4.375

Abstract

Evaluasi kinerja operator produksi merupakan aspek penting dalam meningkatkan produktivitas dan kualitas proses manufaktur pada industri elektronik. Namun, proses evaluasi yang masih bergantung pada penilaian subjektif berpotensi menghasilkan keputusan yang kurang konsisten dan objektif. Penelitian ini bertujuan untuk menerapkan pendekatan Hybrid Data Assessment Method (DAM) Weighting dan Simple Additive Weighting (SAW) dalam mengevaluasi kinerja operator produksi secara objektif. Metode DAM Weighting digunakan untuk menentukan bobot setiap kriteria berdasarkan karakteristik data, sedangkan metode SAW digunakan untuk menghitung nilai preferensi dan menentukan peringkat operator produksi. Penelitian menggunakan lima kriteria evaluasi, yaitu produktivitas, disiplin kehadiran, ketepatan waktu, kerja sama tim, dan inisiatif dengan sepuluh operator produksi sebagai alternatif. Hasil pembobotan menunjukkan bahwa produktivitas memiliki bobot tertinggi sebesar 0,2041, diikuti oleh inisiatif sebesar 0,2030, ketepatan waktu sebesar 0,2024, kerja sama tim sebesar 0,1985, dan disiplin kehadiran sebesar 0,1921. Berdasarkan proses perangkingan menggunakan SAW, OPT-10 memperoleh nilai preferensi tertinggi sebesar 0,9937, sedangkan OPT-8 memperoleh nilai preferensi terendah sebesar 0,9150. Hasil penelitian menunjukkan bahwa pendekatan hybrid DAM Weighting dan SAW mampu menghasilkan proses evaluasi yang lebih objektif, konsisten, dan transparan dibandingkan penilaian konvensional, sehingga dapat dijadikan sebagai sistem pendukung keputusan dalam evaluasi kinerja operator produksi pada industri elektronik.
TEKNO Method: Total Evaluation based on Knowledge-driven Normalized Optimization for Multi-Criteria Decision Making Yuri Rahmanto; Ryan Randy Suryono; Dedi Darwis; Abhishek R. Mehta; Auliya Rahman Isnain
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 2 (2027): March 2027
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i2.7

Abstract

Multi-criteria decision making (MCDM) methods play an important role in supporting decisions involving multiple criteria with different characteristics and levels of importance. However, differences in normalization procedures, criterion treatment, and aggregation mechanisms can lead to variations in the resulting preference structures. This study proposes a new MCDM method, namely total evaluation based on knowledge-driven normalized optimization (TEKNO), which integrates normalization, relative evaluation, criterion weighting, optimization-based normalization, and total evaluation into a unified decision-making framework. The proposed method is designed to transform heterogeneous decision information into comparable evaluation values while preserving the relative contribution of each criterion. The applicability of TEKNO is evaluated through two decision-making case studies involving new store location selection and leasing customer selection. The evaluation framework includes ranking analysis, comparison with established MCDM methods, Spearman rank correlation analysis, and sensitivity analysis under variations in criterion weights. The results show that TEKNO achieves a Spearman rank correlation coefficient of 1.0000 for the new store location case and 0.9964 for the leasing customer selection case, indicating very strong agreement with the reference rankings. In addition, the ranking remains unchanged across the tested sensitivity scenarios, demonstrating the stability of TEKNO under variations in criterion weights. These findings indicate that TEKNO provides a transparent, systematic, and stable alternative for MCDM applications for practical decision support where reliable ranking, methodological transparency, and robustness across alternative evaluation conditions are required. Nevertheless, broader validation using diverse datasets, decision domains, weighting schemes, and statistical evaluation techniques is required to further establish its generalizability and comparative performance.
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