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All Journal Journal of Community Development Journal of Information System and Technology (JOINT) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Journal Of Humanities Community Empowerment ABDIMASTEK
Warisaji, Taufiq Timur
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Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences

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Pelatihan Desain Pagar Rumah Futuristik Menggunakan Coreldraw Pada Kelompok Pemuda Perumahan Alam Hijau Jember Warisaji, Taufiq Timur; Rosyidah, Ulya Anisatur; Nusanto, Baktiawan
Journal Of Humanities Community Empowerment Vol. 1 No. 1 (2023): Journal of Humanities Community Empowerment
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jhce.v1i1.426

Abstract

Mastery of graphic design is very important because of the importance of graphic design in organizational or community activities. The training session took place at Darma Alam Housing Complex, Jember on 20 May 2023. The workshop participants consisted of youth from Darma Alam Housing as well as officials from the local Rukun Warga. Before starting to use the Corel Draw application, participants were given graphic design material to read. This dedication activity emphasizes hands-on practice, so that a lot of time is spent practicing so that innovations in graphic design can be utilized immediately. The participants' understanding of the participant's visual design was quite strong, as evidenced by the participants' ability to remember the type and position of the tools used according to their needs. This course helps young people improve their graphic design skills by utilizing the Corel Draw application. Furthermore, the purpose of this activity is to foster creativity in the world of computers, especially graphic design. Based on the findings and discussion of Corel Draw graphic design training, it can be concluded that Darma Alam Housing youth partners can develop their creativity in the field of Corel Draw graphic design. Partners have also demonstrated design skills using Corel Draw tools, as well as knowledge of tips and methods for creating graphic designs, especially fences
Pelatihan Implementasi Sistem Monitoring Laporan Keuangan Study Kasus Dinas Koperasi Kabupaten Jember Warisaji, Taufiq Timur; Rosyidah, Ulya Anisatur
Journal of Community Development Vol. 3 No. 2 (2022): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v3i2.80

Abstract

Development of the Village Creative Economy Industry Based on Local Wisdom and Entrepreneurship is one of the flagship programs to be achieved from this service. The creative economy is an evolution of concepts based on creative assets that can generate economic growth and development. Minister of Cooperatives and UKM, Teten Masduki revealed that the creative economy community (Ekraf) is most likely in the national economy. In order to increase their productivity, the Ministry of Cooperatives and UKM, encourages the creative economy community to consolidate into a format. The Department of Cooperatives and Micro Enterprises of Jember Regency in running one of the services encountered several obstacles, namely there were still many cooperatives that had not reported financial reports and RATs in accordance with standards. Financial Information System training and development is one of the efforts made to resolve these obstacles. This Financial Information System will be used by the Department of Cooperatives to carry out Monitoring and Evaluation of the implementation of the Financial Reports and RATs of each of the cooperatives under its guidance. The end result of this service is in the form of a Financial System Training Module that can be used to facilitate cooperatives in carrying out financial reporting in accordance with established standards.
Pelatihan Digital Marketing dan Optimasi Media Sosial Untuk Meningkatkan Visibilitas UMKM Rosyidah, Ulya Anisatur; Warisaji, Taufiq Timur
Journal of Community Development Vol. 5 No. 2 (2024): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i2.240

Abstract

This community service activity is a collaboration between the Information Systems Study Program at Muhammadiyah University of Jember and RTIK Jember with the Sekar Kartini Jember Women's Consumer Cooperative. From the data collection carried out, it was found that many cooperative members who were MSMEs experienced marketing problems and lacked updates on digital technology. This training aims to provide training in the field of digital marketing and social media optimization to Micro, Small and Medium Enterprises (MSMEs). The main goal is to increase the visibility and competitiveness of local MSMEs in the rapidly growing digital market. The methods used in this activity include providing practical and interactive training which covers basic digital marketing concepts, social media optimization techniques, use of digital marketing tools, and online marketing strategies using effective microsites. The final result of this activity is an increase in participants' understanding and practical skills in utilizing digital platforms to promote their MSME products or services. From initial observations, only around 10% of participants knew about Digital Marketing, so at the end of the activity it increased to 90% of participants who understood the importance of Digital Marketing. In this way, it is hoped that local MSMEs can expand their market reach, increase sales and strengthen their brand awareness among local and international consumers. Apart from that, this activity is also expected to build networks and collaboration between local MSMEs, industrial players, and educational or research institutions to support local economic growth through the use of digital technology. With good collaboration, it is hoped that an ecosystem will be created that supports the growth and sustainability of MSMEs in the current digital era
Penerapan Algoritma K-Means Clustering untuk Segmentasi Nasabah Bank Irawan, Dudi; Wijaya, Guruh; Warisaji, Taufiq Timur
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 1 (2025): March
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i1.162

Abstract

Segmentasi nasabah merupakan strategi yang penting dalam industri perbankan untuk memahami karakteristik dan kebutuhan pelanggan secara lebih mendalam. Penelitian ini menerapkan algoritma K-Means clustering untuk mengelompokkan nasabah berdasarkan faktor demografi dan finansial, seperti usia, jenis kelamin, pendapatan, status pernikahan, dan kepemilikan aset perbankan. Data yang digunakan terdiri dari 600 record nasabah yang diambil dari sumber daring dan diproses menggunakan metode unsupervised learning dalam data mining. Proses clustering dilakukan dengan beberapa nilai k (jumlah cluster) untuk menentukan pengelompokan yang optimal. Validasi dilakukan menggunakan Within-Cluster Sum of Squares (WCSS) dan Davies-Bouldin Index guna mengukur kualitas hasil segmentasi. Hasil penelitian menunjukkan bahwa segmentasi dengan nilai k = 2 dan k = 4 memberikan pola yang lebih jelas dibandingkan k = 3, di mana setiap cluster memiliki karakteristik yang berbeda dalam hal profil risiko, preferensi produk, dan tingkat keterlibatan dengan layanan perbankan. Dengan pendekatan ini, bank dapat meningkatkan strategi pemasaran, manajemen risiko kredit, serta personalisasi layanan berdasarkan segmentasi yang dihasilkan. Selain itu, penelitian ini memberikan rekomendasi untuk pengembangan sistem berbasis data mining yang dapat membantu dalam pengambilan keputusan bisnis di sektor perbankan.
Pendampingan Digital Safety Sebagai Precaution Penipuan Digital Di Desa Sidomukti Mayang Rosyidah, Ulya Anisatur; Warisaji, Taufiq Timur
ABDIMASTEK Vol. 1 No. 2 (2022): Desember
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v1i2.206

Abstract

Penipuan digital merupakan pemanfaatan internet untuk menipu korban dengan berbagai modus. Munculnya kasus penipuan digital yang dialami beberapa warga desa Sidomukti Mayang menjadi salahsatu indikator pentingnya pendampingan kepada masyarakat dalam hal literasi digital. Kecakapan dibidang digital safety atau Keamanan Digital menjadi salah satu kecakapan yang harus dimiliki masyarakat supaya terhindar dari penipuan digital dan kejahatan siber lainnya. Materi yang disampaikan didalam kegiatan pendampingan terhadap perangkat desa serta warga ini meliputi pengenalan berbagai jenis kejahatan siber, modus yang digunakan pelaku kejahatan penipuan digital, beragam contoh identifikasi penipuan serta keamanan yang bisa dilakukan sebagai upaya pencegahan dan pelaporan jika terjadi penipuan digital. Hasil kegiatan pendampingan berupa diskusi serta praktek langsung bagaimana cara melakukan pengamanan data pribadi serta situs-situs yang dapat digunakan sebagai pengecekan rekening dan nomer telpon serta situs untuk pelaporan jika terjadi penipuan digital.
Perbandingan Kinerja Apriori Dan FP-Growth Dalam Pencarian Pola Asosiasi Pada Data Promosi Pendidikan Arifin, Zainul; Oktavianto, Hardian; Warisaji, Taufiq Timur; Sulistyo, Henny Wahyu
Journal of Information System and Technology (JOINT) Vol. 6 No. 2 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i2.10973

Abstract

Data mining, khususnya Association Rule Mining, digunakan untuk mengidentifikasi hubungan tersembunyi dalam data dan menemukan aturan asosiasi yang bermakna, dengan algoritma seperti Apriori dan FP-Growth yang meningkatkan efisiensi dalam proses ini. Dalam konteks pendidikan, teknik ini dapat membantu sekolah dalam mengoptimalkan strategi promosi dengan menyesuaikan pesan dan penawaran berdasarkan preferensi audiens, sehingga meningkatkan efektivitas alokasi sumber daya. Dengan memanfaatkan Association Rule Mining, sekolah dapat merancang strategi berbasis data untuk menarik dan mempertahankan siswa. Pada penelitian ini akan dilakukan perbandingan penggunaan Apriori dan FP-Growth dalam mencari rule asosiasi pada data pendidikan untuk menunjang promosi sekolah SMP 1 Muhammadiyah. Algoritma Apriori dan FP-Growth dapat digunakan untuk menganalisis pola asosiasi dalam data pendidikan guna mendukung strategi promosi SMP Muhammadiyah 1. Hasil analisis menghasilkan 16 aturan asosiasi dari Apriori dan 6 aturan dari FP-Growth, Apriori menunjukkan bahwa mayoritas calon siswa berasal dari Kecamatan Kaliwates dan lebih banyak berasal dari Sekolah Dasar Negeri, sedangkan FP-Growth mengidentifikasi bahwa calon siswa potensial juga berasal dari Kecamatan Patrang dan Sumbersari, yang dapat menjadi fokus dalam promosi sekolah.
Ensemble Learning dengan Soft Voting Classifier untuk Klasifikasi Pasien Tifus di Puskesmas Balung Muharom, Lutfi Ali; Irawan, Dudi; Warisaji, Taufiq Timur
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.186

Abstract

Typhoid fever remains a significant public health problem in Indonesia, particularly in areas with limited medical facilities. This study aims to develop an automatic classification model for typhoid diagnosis using an ensemble learning approach based on the Soft Voting Classifier. The model combines three base algorithms, Logistic Regression, Random Forest, and Gradient Boosting, to enhance predictive accuracy. The dataset was obtained from Balung Primary Health Center, Jember Regency, consisting of 510 patient records with typhoid symptoms. Experimental results show that the ensemble model achieved an accuracy of over 92%, outperforming individual models. Furthermore, adequate precision and recall indicate the model’s potential to support rapid and accurate medical diagnosis. These findings demonstrate that the Soft Voting Classifier can serve as an effective tool to assist healthcare workers, especially in resource-limited settings, in improving the quality of typhoid fever diagnosis.
Co-Authors Baktiawan Nusanto, Baktiawan Irawan, Dudi Muharom, Lutfi Ali Oktavianto, Hardian Sulistyo, Henny Wahyu Ulya Anisatur Rosyidah Wijaya, Guruh Zainul Arifin