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All Journal International Journal of Electrical and Computer Engineering Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik JURNAL SISTEM INFORMASI BISNIS Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer Students' Journal of Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Scientific Journal of Informatics Proceeding SENDI_U Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CogITo Smart Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknoinfo Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknologi Sistem Informasi dan Aplikasi IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) Jurnal Tekno Kompak Building of Informatics, Technology and Science To Maega: Jurnal Pengabdian Masyarakat Journal of Computer System and Informatics (JoSYC) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Industrika : Jurnal Ilmiah Teknik Industri Transformasi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Andan Jejama: Indonesian Journal Of Community Engagement
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Integrated Marketing Communication [IMC] Desa Wisata Wonolopo Dalam Upaya Publikasi Ikonik “Kampoeng Jamu” Imam Husni Al Amin; Edy Winarno; Budi Hartono; Dwi Budi Santoso
IKRA-ITH ABDIMAS Vol 6 No 1 (2023): IKRAITH-ABDIMAS Vol 6 No 1 Maret 2023
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikra-ithabdimas.v6i1.2397

Abstract

Awareness for the community in the tourism that the area is one of the tourist destinationsthat has the potential to improve the people's economy, so the pioneers and movers of the touristvillage must be able to synergize all existing components to move together to build their villageand participate in every activity that exists during tourist visits. Management that is conditionedand managed by the community itself, so that young people who will later become pioneers andmovers are equipped with the ability to publish and promote their tourist villages by utilizinginformation technology, especially digital marketing. Optimizing the use of information technology in the form of digital marketing as a meansto promote and publicize Kampoeng Jamu, Wonolopo sub-district for young people driving theWonolopo tourist village to be very strategic in relation to the acceleration to be able to lift thepotential that exists in the area so that the tourism potential in the Wonolopo tourist village oneof them which is an icon of the Wolopo tourist village is "kampoeng Jamu" with traditionalherbal products carried so that it is more widely known. Integration of MarketingCommunication is provided in digital marketing materials with digital content in the form ofphotos of products and services as well as story telling so that they are very familiar toconsumers, followed by material on optimal use of social media that can be made viral byeveryone involved in digital marketing for tourist villages. Wonolopo, specifically forcommodities from Kampoeng Jamu
Pelestarian Budaya Batik Tulis Melalui Penggalian Potensi Kriya Batik Pewarna Alami Bagi Penggerak Deswita Wonolopo Imam Husni Al Amin; Edy Winarno; Dewi Handayani U. N.; Veronica Lusiana
IKRA-ITH ABDIMAS Vol 6 No 2 (2023): IKRAITH-ABDIMAS Vol 6 No 2 Juli 2023
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikra-ithabdimas.v6i2.2411

Abstract

The Wonolopo tourist village was designated by the mayor of Semarang as one of theleading tourist villages in the city of Semarang, which is located in Mijen sub-district, WestSemarang, Central Java. Wonolopo tourist village has a lot of local potential with natural wealthand uniqueness that can be proud of as one of the cultural and educational tour packages fortourists. With the uniqueness of Kampoeng Jamunya which can be juxtaposed with theexploration of natural dyed batik, it becomes the main attraction to be presented for tourists whowant to see the uniqueness of the Wonolopo tourist village area.Most of those who are driving tourist villages and tourism awareness groups (pokdarwis)do not understand the process of writing batik, let alone the use of natural dyes that can beobtained from around. One of the efforts to optimize the existing potential needs to be carriedout on an ongoing basis, training and technical guidance mainly for the community that drivesthe Tourism village in the form of written batik / stamp using the natural dye Blue Indigo. The training was given in stages starting from handling the fabric with mordanting, blazing the motifonto a piece of white cloth, painting according to the pattern drawn, the next process dyeing thefabric with natural Indigo blue dye, and finally slapping it off to remove the wax from the stick.The last process, the cloth is rinsed until it is clean from the lime that is present with the Indigopaste
Real-Time Detection of Face Mask Using Convolutional Neural Network Imam Husni Al Amin; Deva Ega Marinda; Edy Winarno; Dewi Handayani U.N; Veronica Lusiana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.5036

Abstract

Masks are a simple barrier that can help us prevent transmission and spread of disease from other people who enter the body, avoid exposure to air pollution, and protect the face from the adverse effects of sunlight. However, many people are still ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time by proposing a deep learning model to reduce illness and death caused by air pollution. The convolutional Neural Network (CNN) method was used in this research to detect facial recognition using a mask and not using a mask. The public dataset used in this research consists of 1300 images with 650 data using masks and 650 data without masks. The results of this study show that the proposed CNN method works well in detecting masked and non-masked faces in real time. The proposed method obtains an accuracy value of 97.5% at epoch 50. Previous research on mask detection using the Eigenface method yielded an accuracy of 88.89%, and another study using the Viola-Jones method yielded an accuracy of 95.5%. It can be concluded that this research can increase the accuracy value of previous studies. So, this research is feasible to be applied to the detection of mask use in real time.
Implementasi Metode Simple Additive Weighting (SAW) Dalam Sistem Pendukung Keputusan Karyawan Teladan Sofin Rendian Novianto; Imam Husni al Amin
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1052

Abstract

Employees are Human Resources who are very important to achieve the company's vision and mission. Employees have a significant impact on the company's growth and ability to compete in the market. One way to create quality human resources, we need a system to determine exemplary employees. One way to determine employees by using a decision support system. Decision support systems are made to determine exemplary employees in a company based on predetermined weights. The method used in this system is Simple Additive Weighting because it has the advantage of being able to determine the weight value of each attribute. The results obtained from calculations using this system are the names of exemplary employees who have been sorted according to their ranking from the top to the bottom and this system can be used by companies to make it easier to give rewards or appreciation in determining exemplary employees.
Pengelolaan Data Sampah Pada Bank Sampah Kita (Basuki) Semarang Berbasis Aplikasi MS Excel Setyawan Wibisono; Wiwien Hadikurniawati; Imam Husni Al Amin; Taufiq Dwi Cahyono
Intimas Vol 3 No 2 (2023)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v3i2.9161

Abstract

Based on surveys and discussions in the field with the manager of the "Basuki" Garbage Bank, RT 02, RW 08 Sinar Waluyo Housing, Kedungmundu Village, Semarang, it can be seen that partner problems: 1) Joint management of the "Basuki" Garbage Bank is still relatively short, so the management who new managers must learn from scratch in waste management: 2) In the operational activities of the "Basuki" Garbage Bank, new managers must memorize the many types of waste and the unit price of waste that is worth selling: 3) In recording the entry and exit of waste data, there is no standard and standard format , because it is still in the learning stage; 4) Members cannot see waste management data directly, because waste management data is only recorded in a notebook. To realize community service in training at the "Basuki" Garbage Bank the method applied is a participatory action review which is implemented through training with the following stages: 1) Basic waste bank data recording training using a standard waste bank format; 2) Software training for recording waste bank data; 3) Software training for preparing waste bank reports.
Implementasi Metode Simple Additive Weighting (SAW) Dalam Sistem Pendukung Keputusan Karyawan Teladan Sofin Rendian Novianto; Imam Husni al Amin
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1052

Abstract

Employees are Human Resources who are very important to achieve the company's vision and mission. Employees have a significant impact on the company's growth and ability to compete in the market. One way to create quality human resources, we need a system to determine exemplary employees. One way to determine employees by using a decision support system. Decision support systems are made to determine exemplary employees in a company based on predetermined weights. The method used in this system is Simple Additive Weighting because it has the advantage of being able to determine the weight value of each attribute. The results obtained from calculations using this system are the names of exemplary employees who have been sorted according to their ranking from the top to the bottom and this system can be used by companies to make it easier to give rewards or appreciation in determining exemplary employees.
Sistem Presensi Berbasis Kode QR untuk Pelacakan Kontak Pasca-Pandemi Imam Husni Al Amin; Veronica Lusiana; Budi Hartono; Dimas Wahyu
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.490.436-450

Abstract

The COVID-19 pandemic has brought about profound changes in daily life and introduced new challenges to public health maintenance. Despite ongoing uncertainties, with certain regions easing or completely lifting community activity restrictions, persistent concerns about the virus's continued threat prompt the need for robust health monitoring measures. In this context, the use of contact tracing apps becomes pivotal for organizing individuals' movements, monitoring social distancing, and ensuring adherence to health protocols. This study introduces a QR code-based attendance system, a meticulously designed web and Android application aimed at efficiently and accurately tracking individuals' whereabouts. The system leverages QR code scanning technology, and to enhance security, employs the Advanced Encryption Standard (AES) method for data encryption. This ensures the safe encryption of sensitive data, preserving its confidentiality and integrity during transmission and storage. The research outcome is a versatile application facilitating seamless access across diverse locations, allowing real-time tracking of individuals' presence. This capability proves crucial for contact tracing efforts in the event of positive cases, contributing to the implementation of post-pandemic security and surveillance policies. The system's design and features align with the evolving landscape of the pandemic, emphasizing adaptability and comprehensive support for public health initiatives.
Pengaruh Peningkatan Kualitas Citra Menggunakan Modifikasi Kontras Pada Kompresi Data RLE Lusiana, Veronica; Al Amin, Imam Husni; Sutanto, Felix Andreas
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.757 KB) | DOI: 10.47065/bits.v4i1.1646

Abstract

Data compression is needed so that the need for storage media and data transfer time becomes more efficient. This study compressed image data using the Run-Length Encoding (RLE) method. The test data is the original image (gray scale) and the image results of improving image quality (image enhancement) using contrast modification. Modification of contrast using contrast stretching methods. Through experiments wanting to know the extent to which the RLE method works less effectively for images with complex color intensity. The image of contrast modification results has a more complex color intensity or more varied pixel value. Obtained the number of pairs (p, q) RLE in the image of contrast modification results is less than the original image, with the pair ratio (p, q) RLE ranges from 0.64% to 1.59%. Although this image has a more varied pixel value than its original image, it can produce a compression ratio of the number of pairs (p, q) RLE.
PERANCANGAN SIG UMKM BLORA BERBASIS GEOJSO DAN GOOGLE MAPS Joko Handoyo; Handoyo, Joko; Marahendra,, Wawan Dedi; Amin, Imam Husni Al; Nafiah, Khittatun
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.880

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) berperan penting dalam perekonomian Indonesia, terutama dalam penyerapan tenaga kerja dan pengembangan ekonomi daerah. Namun, informasi mengenai lokasi dan detail UMKM di Kabupaten Blora masih terbatas. Penelitian ini bertujuan untuk merancang Sistem Informasi Geografis (SIG) berbasis web guna membantu masyarakat dan Dinas Perdagangan, Koperasi, dan UKM Kabupaten Blora dalam mengetahui dan mengelola data UMKM. Menggunakan model pengembangan perangkat lunak waterfall, data UMKM dari 16 kecamatan dan 295 desa/kelurahan dikonversi dari SHP File ke GeoJSON AJAX dan dipetakan menggunakan Google Open Street Maps. Sistem ini menampilkan peta lokasi UMKM, informasi pemilik, produk, dan berita terkait. Hasil penelitian menunjukkan bahwa SIG memudahkan akses informasi UMKM dan membantu Dinas dalam mendata dan mengelola UMKM lebih efisien, menghasilkan laporan akurat, dan mempercepat penyebaran informasi UMKM secara online, mendukung pengembangan UMKM.
SOCIAL NETWORK ANALYSIS UNTUK MENGIDENTIFIKASI AKUN KUNCI DALAM PERCAKAPAN CAPRES DI TWITTER Amin, Fatkhul; Al Amin, Imam Husni; Winarno, Edy; Wibisono, Setyawan; Cahyono, Taufiq Dwi
Jurnal Teknoinfo Vol 18, No 2 (2024): Juli 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i2.3620

Abstract

Studi ini bertujuan untuk mengeksplorasi percakapan tentang calon presiden dari data Twitter (X) menggunakan analisis jaringan sosial. Metode analisis meliputi degree centrality, betweenness centrality, dan closeness centrality untuk mengidentifikasi akun-akun sentral dalam diskusi tentang calon presiden tertentu. Dataset Twitter (X) diproses dan dianalisis menggunakan alat analisis jaringan sosial. Visualisasi jaringan dilakukan dengan Gephi 0.10.1 untuk memahami struktur interaksi antar akun. Dalam contoh studi yang memfokuskan pada pasangan "Anies Muhaimin," analisis menunjukkan bahwa akun-akun seperti @kba_news dan @PeraWat81282560 memiliki degree centrality yang tinggi, menandakan keterlibatan yang signifikan dalam menyebarkan informasi dan mempertahankan koneksi langsung dengan akun-akun lain dalam jaringan. Sementara itu, untuk kata kunci "Ganjar Mahfud" dan "Prabowo Gibran," ditemukan bahwa terdapat akun-akun dominan dengan peran penting dalam mengoordinasikan dan memengaruhi percakapan. Implikasi dari temuan ini menyoroti bagaimana struktur jaringan sosial memengaruhi penyebaran informasi politik di media sosial. Studi ini memberikan wawasan tentang dinamika interaksi antar akun dalam konteks kampanye pemilihan presiden, serta pentingnya pemahaman tentang pengaruh akun-akun sentral dalam mempengaruhi opini publik. Secara kesimpulan, analisis jaringan sosial Twitter (X) memberikan pemahaman mendalam tentang bagaimana informasi politik tersebar dan dipengaruhi dalam konteks percakapan tentang calon presiden. Temuan ini relevan untuk strategi kampanye politik dan manajemen reputasi di era digital.