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All Journal Trikonomika: Jurnal Ekonomi Jurnal Computech & Bisnis (e-Journal) JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) The Asian Journal of Technology Management (AJTM) International Journal of Artificial Intelligence Research Journal of Management Review Jurnal Ilmiah Universitas Batanghari Jambi JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL PETIK JURNAL TIARSIE Jurnal Tekno Insentif Symmetry: Pasundan Journal of Research in Mathematics Learning and Education Jurnal Akuntansi Bisnis dan Ekonomi (JABE) Business Innovation and Entrepreneurship Journal JE (Journal of Empowerment) Jurnal Pemerintahan dan Politik Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Journal Civics and Social Studies Media Informatika Indonesian Journal of Social Research (IJSR) Charity : Jurnal Pengabdian Masyarakat Media Jurnal Informatika JETLi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Infosecure Jurnal AbdiMU International Journal of Accounting & Finance in Asia Pasific Journal of Community Dedication Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Journal of English Teaching and Linguistics Studies Jurnal Pengabdian Tri Bhakti Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Komunikasi Indonesia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Erwin Yulianto
Teknik Informatika, Fakultas Teknik, Universitas Langlangbuana, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Veterinary Other

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Efektivitas Pelatihan Dalam Meningkatkan Kompetensi Sumber Daya Manusia Neneng Hayati; Erwin Yulianto
Journal Civics and Social Studies Vol 5, No 1 (2021): Volume 5 no 1 Tahun 2021
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/civicos.v5i1.958

Abstract

Sumber daya manusia di perusahaan berperan sebagai penentu keberhasilan perusahaan untuk mencapai hasil yang diharapkan. Sumber daya manusia pada perusahaan perlu dikelola secara profesional agar terwujud keselarasan antara kompetensi pegawaidengan dengan tuntutan dan tujuan perusahaan. Salah satu proses pengembangan dan peningkatan kompetensi pegawai dapat dilakukan dengan melaksanakan kegiatan pendidikan dan pelatihan. Pelatihan bagi para pegawai dapat dilakukan dengan berbagai cara, antara lain dengan kegiatan on job training dan off the job training. Dengan adanya pelatihan diharapkan produktivitas pegawai akan lebih meningkat serta dapat bekerja secara lebih efektif dan efisien terutama untuk tantangan dalam mencapai tujuan perusahaan ke depan. Evaluasi pelatihan merupakan salah satu cara mengukur efektifitas pelatihan sehingga memberikan feedback bagi perusahaan dalam rangka meningkatkan kompetensi sumber daya manusia.
Rancang Bangun Perangkat Lunak E-Commerce Menggunakan Metode Market Basket Analysis Erwin Yulianto; Hery Heryanto
Media Informatika Vol 18 No 1 (2019)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1362.978 KB) | DOI: 10.37595/mediainfo.v18i1.22

Abstract

Dengan adanya revolusi industri 4.0, persaingan bisnis semakin ketat khususnya dari sisi proses bisnis promosi, penjualan, dan transaksi. Sebuah sistem sangat diperlukan untuk meningkatkan efisiensi dan daya saing industri melalui media internet atau sering disebut E-Commerce.Industri handmade di Indonesia masih kurang berkembang dalam hal pemasaran barang-barang yang telah diproduksi dikarenakan kurangnya penyebaran informasi kepada masyarakat. Kebanyakan proses transaksi jual beli berupa mekanisme penjualan yang berjalan sekarang masih konvensional sehingga menyebabkan pangsa pasar terbatas. Dengan adanya perangkat lunak E-Commerce berbasis Market Basket Analysis, diharapkankualitas pelayanan kepada pelanggan khususnya dalam memberikan informasi pilihan produk sekaligus meningkatkan proses promosi dan pemasaran produk handmade kepada masyarakat.
Pemodelan Arsitektur Sistem Informasi Profil Risiko Menggunakan Framework TOGAF Awan Setiawan; Erwin Yulianto
Prosiding SISFOTEK Vol 1 No 1 (2017): SISFOTEK 2017
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1639.531 KB)

Abstract

Perbankan saat ini memiliki beragam produk jasa keuangan sehingga kompleksitas transaksi dan interaksi antar lembaga jasa keuangan bertambah. Hal tersebut wajar mengingat standar industri di dunia perbankan yang menuntut adanya kebutuhan bisnis yang fleksibel. Merujuk kepada ketentuan Otoritas Jasa Keuangan, perlu diterapkan kecukupan proses identifikasi, pengukuran, pemantauan, dan pengendalian risiko sehingga dapat mewujudkan stabilitas sistem keuangan yang tumbuh secara berkelanjutan. Pendirian Bank X dibentuk melalui Peraturan Pemerintah Republik Indonesia yang sekarang sudah menjadi salah satu bank besar di Indonesia. Saat ini Bank X masih belum memiliki sistem informasi yang bisa melakukan proses-proses sebagaimana dimaksud di atas. Sistem Informasi Profil Risiko yang akan dikembangkan diharapkan dapat diterapkan dan dipahami dengan baik oleh seluruh pengguna informasi khususnya shareholder dan stakeholder sehingga menghasilkan pelaporan Profil Risiko secara menyeluruh dan komprehensif.
Implementasi SMS Gateway API Pada Rancang Bangun Media Komunikasi RT/RW Erwin Yulianto
Jurnal Info Secure Vol 1 No 1 (2020): JISEC
Publisher : Jurnal Info Secure

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1107.9 KB)

Abstract

Rukun Warga (RW) merupakan lembaga yang dibentuk melalui musyawarah bersama masyarakat setempat dalam rangka layanan administrasi pemerintahan dan kemasyarakatan yang ditetapkan oleh pemerintah desa atau kelurahan. Rukun Warga memiliki peran penting dalam memelihara dan melestarikan nilai-nilai kehidupan masyarakat berdasarkan gotong royong dan kekeluargaan untuk meningkatkan kesejahteraan masyarakat. Penelitian ini bertempat di RT/RW 10, Kp. Sukamanah, Ds. Soreang, Kec. Soreang, Kab. Bandung. Kendala yang dialami oleh ketua RW dalam menjalankan tugasnya berbenturan dengan kewajibannya sebagai kepala keluarga yang harus mencari nafkah bagi keluarganya sehingga layanan pada masyarakat hanya dapat diberikan pada saat sore sampai dengan malam hari atau hari libur. Tujuan penelitian ini antara lain adalah membuat sebuah media komunikasi yang dapat mempermudah penyampaian informasi, berita, pengumuman kepada warga secara efektif dan efisien. Selanjutnya, dari sisi warga juga dapat menyalurkan keluhan, kebutuhan, aspirasi, saran, dan ide langsung kepada ketua RW. Metode pengembangan sistem yang digunakan adalah model prototype dengan langkah-langkah antara lain identifikasi kebutuhan, pembangunan prototyping, pengkodean sistem, dan pengujian sistem. Keluaran yang dihasilkan dari penelitian ini adalah implementasi SMS Gateway API pada media komunikasi RW. Dengan adanya solusi tersebut, diharapkan dapat membantu warga RT/RW 10, Kp. Sukamanah dalam menyampaikan kebutuhan dan memberikan kritik, ide, dan saran serta informasi di lingkungan RT/RW 10 secara realtime sehingga kebutuhan dan aspirasi warga secepatnya dapat ditindaklanjuti.
Implementasi Integrasi Fungsi-Fungsi Bisnis Pada Kinerja Proses Bisnis Internal Menggunakan Metode Kualitatif Dengan Pendekatan Quantitative Strategic Planning Matrix Erwin Yulianto; Iman Sudirman; Sutarman Sutarman; Azhar Affandi; Sidik Priadana; Ina Primiana Sagir
Jurnal Inovasi Bisnis dan Kewirausahaan Vol 4 No 1 (2022): Business Innovation and Entrepreneurship Journal (February)
Publisher : Entrepreneurship Faculty, Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.326 KB) | DOI: 10.35899/biej.v4i1.358

Abstract

Kinerja bank meliputi beberapa disiplin ilmu seperti manajemen operasi, manajemen sumber daya manusia, manajemen pemasaran, sistem informasi, manajemen keuangan dan akuntansi serta perilaku organisasi. Tren kinerja perbankan khususnya kinerja finansial dalam lima tahun terakhir masih berfluktatif. Salah satu indikator utama yang mempengaruhi ketidakkonsistenan kinerja yaitu penerapan manajemen risiko yang efektif sebagai bagian yang tak terpisahkan dari proses organisasi merupakan elemen penting untuk mewujudkan GCG untuk mengarahkan dan mengendalikan perusahaan agar tercapai keseimbangan antara kekuatan dan kewenangan perusahaan. Selain itu belum optimalnya integrasi fungsi-fungsi bisnis pada Proses Bisnis Internal yang merupakan salah satu perspektif Balanced Scorecard memiliki dampak mendalam pada integrasi fungsi-fungsi bisnis seperti penjualan dan pemasaran, pengadaan, keuangan dan akuntansi, penelitian dan pengembangan produk / jasa perbankan. Penelitian ini bertujuan untuk menghasilkan strategi implementasi integrasi fungsi-fungsi bisnis pada Proses Bisnis Internal menggunakan Metode Kualitatif untuk menghasilkan formulasi strategi manajemen operasional menggunakan pendekatan Quantitative Strategic Planning Matrix.
Expert System for Diagnosing Disease Symptoms of Rice Pests Using the Dempster Shafer Algorithm and Fuzzy Tsukamoto Algorithm Awan Setiawan; Sany Ni'ma Fauzia; Kusmaya Kusmaya; KM Syarif Haryana; Iwan Abadi; Erwin Yulianto
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 3 (2022): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i3.1425

Abstract

Agriculture is the largest sector in almost every developing country economy. This sector produces food for most of the population in the country. Some Indonesian people work as farmers who have an important role to ensure the availability of basic ingredients, namely rice from rice. However, the limited number of experts, namely Field Agricultural Extension Officers (PPL) results in limited counseling that will be obtained by farmers, because to overcome all the problems faced by farmers, it is constrained by time and the number of farmers who have problems with their crops. In this case, farmers find it difficult to deal with problems of pests and diseases that attack rice, therefore a tool or an expert application is needed that can help farmers to diagnose pests and diseases of rice in order to provide solutions to overcome them. In connection with that, this study aims to develop an application design of an expert system for diagnosing rice pests using the Fuzzy Tsukamoto algorithm which is a method for classifying objects based on the most similar data, and adding the Dempster Shafer algorithm as a comparison of the methods used to obtain data. maximum result validation. By using the Fuzzy Tsukamoto Algorithm, the author classifies similar objects, in this case the symptoms that often occur during the rice harvest season, then compares them with the Dempster Shafter Algorithm to obtain validation of diseases that occur in rice plants based on the classification of symptoms that have been mapped. . Furthermore, the system will provide the best decision to provide advice related to diseases experienced by rice plants so that farmers can immediately resolve them.
PENERAPAN DATA MINING DENGAN ASSOCIATION RULES UNTUK MELIHAT HUBUNGAN TERTANGGUNG, PEMILIHAN PRODUK DAN PERILAKU NASABAH (Studi Kasus: PT. Prudential Life Assurance) Awan Setiawan; Erwin Yulianto
Jurnal Accounting Information System (AIMS) Vol. 2 No. 1 (2019)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v2i1.343

Abstract

The world of insurance business that is full of competition makes the perpetrators must always think about breakthrough strategies that can guarantee the continuity of their insurance business. One of the main assets owned by insurance companies is business data in an extraordinary amount.Data mining is a new technology that is very useful to help insurance companies find very important information from business data as the main asset they have. Data mining can predict trends and traits of business behavior that are very useful to support important decision making. Automated analysis carried out by data mining exceeds that carried out by traditional support systems. Apriori and FP-Growth are the most famous algorithms for finding high frequency patterns, these algorithms are part of the Rule Association used in this study.
Datacenter Berbasis Software Defined Network Dan Edge Computing untuk Instansi Kecil Dan Menengah Ali Ahmadi; Erwin Yulianto; Awan Setiawan
INTERNAL (Information System Journal) Vol. 4 No. 1 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v4i1.286

Abstract

Datacenters have become a necessity for institutions that require reliable and high-power internal computing services. Datacenter construction allows users unlimited access to infrastructure, applications, and other IT resources as well, Software Defined Network (SDN) allows network operators and administrators to adjust resources and bandwidth as needed, providing a datacenter with increased efficiency, flexibility, and durability. Edge Datacenter, in general, can be said to be a datacenter with minimal facilities that can expand its network access to provide cloud computing resources, and serve cached content to local end-users,because the Edge Datacenter implements edge-caching. So that to increase the flexibility and scalability of the datacenter with some problems related to location and space that is really limited, the application of SDN and Edge Computing are alternatives that need to be considered.
OPTIMASI RUTE SALES COVERAGE MENGGUNAKAN ALGORITMA CHEAPEST INSERTION HEURISTIC DAN LAYANAN GOOGLE MAPS API Erwin Yulianto; Awan Setiawan
INTERNAL (Information System Journal) Vol. 1 No. 1 (2018)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v1i1.326

Abstract

Traveling Salesman Problem (TSP) is one of the distribution issues which is long discussed in the optimization review, where the review problem is how a salesman visits the entire travel route within the coverage area and returns to the starting point of departure with the rule that no destination should be visited more than once. PT. Panjunan is a company engaged in the products distribution of various principles. Currently the managing process of customer location data at the company is still not maximal due to the absence of calculations in every daily visit routes so it impact on the effectiveness of time. In addition, the absence of visualization of real customer data on the field leads to the error distribution and marketing of goods which is uneven, not on target and impact on the decline in sales value. One of the techniques used to accelerate the search solutions of TSP problems is to use an insertion algorithm, or also called the Cheapest Insertion Heuristic (CIH) algorithm. The discussion of this research is to study and apply CIH algorithm in determining the optimization of daily sales traffic route with the aim of this research is to make daily trip route optimization program by applying Cheapest Insertion Heuristics algorithm and provide real customer data visualization on original map in the field as analysis material for operational team and management by utilizing Google Maps API service. System development method used in this research using waterfall model with implementation tools is laravel framework and mySQL as DBMS.
EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATIONAL EQUALITY Loso Judijanto; Erwin Yulianto; Andri Sungkowo
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 4 No. 2 (2024): April
Publisher : CV. ADIBA ASIHA AMIRA

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

Abstract

In this study, an assessment of the impact of artificial intelligence (AI) on educational equality was carried out. Through the analysis of literature and related research, the aim of this research is to identify how AI can contribute to improving accessibility, personalization, and equality in education. The research methods used involve searching for articles and scientific journals related to artificial intelligence and education, as well as in-depth analysis of such findings. The results of this study show that AI has great potential in supporting personalised learning approaches, reducing gaps in access to education, and identifying and addressing biases in the education system. Careful and sustained AI evaluation is important to ensure that the implementation of this technology has a positive impact on educational equality.
Co-Authors Agus Rahayu Agus Supriyatna Aisyah Nuraeni Ali Ahmadi Ali Ahmadi Andri Sungkowo Awan Setiawan Awan Setiawan Azhar Affandi Benie Ilman Deki Zulkarnain Dendy Eta Mirlana Fajar Nurochim Firman Ismanto Ginanjar, Arief Hamdani, Nizar Alam Hatta Zul Hery Heryanto Iman Sudirman Iman Sudirman Imas Komariah, Imas Ina Primiana Sagir Irwin Supriadi Iwan Abadi Jaya, Firman San Khrisna Dea Pratama KM. Syarif Haryana Kusmaya Kusmaya La Ode Nafiu Lili Adi Wibowo Loso Judijanto Mai Puspadyna Bilyastuti Maulani, Galih Abdul Fatah Moh. Sidik Priadana Neneng Hayati Neneng Hayati Nuraeni, Aisyah Permana, Irwan Triherda Ruhanda, Ruhanda Sany Ni'ma Fauzia Siti Anah Kunyati Sriwati Sriwati Sriwati Sriwati Sunarso Sunarso Supriadi, Irwin Suryana, Ase Sutarman Sutarman Sutarman Sutarman Syafdinal . Trisno Setiadi Vera Fauziah Wita Wahyuni Subangkit Wulan Fauziah Wursan Wursan Yana Setiawan Yiyi Supendi Yudi Wahyudin Suwandi