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All Journal JURNAL SISTEM INFORMASI BISNIS JOIV : International Journal on Informatics Visualization Indonesian Journal on Software Engineering (IJSE) MULTINETICS Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat
Rifai, Zanuar
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health Social Sciences Other

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PENDAMPINGAN PEMANFAATAN TEKNOLOGI DALAM OPTIMALISASI PROSES PENGELOLAAN PARIWISATA MELUNG Wijaya, Anugerah Bagus; Afiana, Fiby Nur; hamdi, aulia; Rifai, Zanuar; Huberta, Bima; Al Afghani, Muhammad Akbar
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.2100

Abstract

Melung Village is one of the villages that has been designated as a Tourism Village in 2022. Melung Village, which is located on the slopes of Mount Slamet with an altitude of around 800-900 meters above sea level, has a variety of village potentials, some of which include Pagubugan Melung natural tourism, organic vegetable gardens, camping ground, cultural tourism (ruwatan, lengger, and banyumasan ebeg). The proposing team and partners have agreed to determine priority issues in the implementation of community service programs, namely optimizing information technology infrastructure in the process of tourism management and services and the need to strengthen Human Resources (HR) in the use of this technology. The focus of activities in implementing this service is the implementation team working with BUM partners Alam Lestari Melung Village in developing a tourism management system and optimizing human resources in the use of digital technology to support the process of service and management of Melung village tourism. From the problems that exist, the priority objective of this activity is to contribute to solving partner problems, especially in the problem of tourism ticket management in accordance with knowledge in the field of information technology and involving internal MBKM students at AMIKOM Purwkerto University, in this activity students assist in training and mentoring and assist in application development . Of the problems that there are weaknesses and challenges, one of them is the capacity of human resources. To solve this problem, training and assistance is carried out for human resources managing BUM Desa Alam Lestari Melung in the use of technology. Training and assistance in using applications and promotional tools will be provided to partners. The implementation method used in this service is the Direct Action Method, where the steps consist of Diagnosing, Action Planning, Action Taking, Evaluating and Learning. Based on the results and discussion of the availability of a tourism management system that can be accessed through a web application that supports the process of service and management of Melung village tourism.
Sistem Informasi Database Petani berbasis QR Code Guna Membantu ICS dalam Proses tracing Bahan Baku dari Petani Gula Semut Rifai, Zanuar; Wijaya, Anugerah Bagus; Oktaviana, Luzi
Indonesian Journal on Software Engineering Vol 10, No 2 (2024): IJSE 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v10i2.24536

Abstract

Secara umum permasalahan utama yang menjadi penghambat exspor gula semut adalah kualitas gula semut dan bahan baku yang tercemar seperti cemaran fisik, biologis, dan kimia. Hal tersebut tentunya dapat dicapai dengan mengaplikasikan pendekatan system traceability sebagai salah satu bidang keilmuan dalam sistem rantai pasok pangan melalui instrumen digital. Fokus para pelaku usaha gula semut adalah menjaga kualitas bahan baku dari penderes tetap organic dan terjaga dengan baik, Karena kualitas produk sangat bergantung pada bahan baku, kualitas bahan baku terus menerus menjadi perhatian utama salah satu cara agar bahan baku dapat dipastikan kualitasnya adalah dengan membentuk tim ICS (Internal Control System) yang bertugas memastikan penderes yang terdaftar sebagai mitra saja yang dapat mensuplai bahan baku. Urgensi penelitian ini terletak pada permasalahan pelaksanaan ICS (Internal Control System) yaitu adalah data penderes dan pemasok bahan baku gula semut masih belum terdata dengan baik, fungsi ICS (internal Kontrol Sistem) masih belum dimaksimalkan karena keterbatasan system perekaman data penderes, belum adanya system untuk perekaman data penderes dan selama ini hanya mengandalkan excel untuk proses perekaman. Tujuan penelitian ini adalah membuat Sistem Informasi Database Petani berbasis QR Code Guna Membantu ICS dalam Proses tracing Bahan Baku dari Petani Gula Semut. Metode pengembangan system yang dilakukan pada penelitian ini menggunakan metode prototype. Hasil penelitian ini berupa aplikasi database petani yang akan digunakan oleh ICS (Internal Control System) untuk menelususri asal-usul bahan baku gula semut,level tkt aplikasi ini pada level 3 dan luaran penelitian ini akan diterbitkan pada jurnal IJSE pada sinta 4 dan hasil penelitian dosen berupa produk yang dimanfaatkan oleh masyarakat sebagai salah satu indikator IKU Perguruan Tinggi.
Gamification Effect of Team Games Tournament in Game-Based Learning on Student Motivation Wijaya, Anugerah Bagus; Nida, Faridatun; Zettira, Salsa Billa Zulmi; Suliswaningsih, Suliswaningsih; Afiana, Fiby Nur; Rifai, Zanuar
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.450

Abstract

This study examines the impact of gamification elements, specifically the duration of use and level of collaboration, on student motivation in online learning environments. Using the Team Games Tournament model, which combines elements of both competition and collaboration, a web-based Game-Based Learning application was developed to enhance student motivation. The study employed a motivation survey based on the model Attention, Relevance, Confidence, Satisfaction, which was administered to participants before and after using the application. In addition to the survey, interaction data, such as the duration of application use, frequency of participation, points earned, and the level of collaboration, were collected to assess the relationship between these factors and student motivation. The study involved 20 fifth-semester students (12 male, 8 female) enrolled in a digital games course, many of whom had prior gaming experience, which could influence their response to the gamified learning experience. The data collected was analyzed using Decision Tree algorithms, Pearson correlation, and simple linear regression to understand the impact of various gamification elements on motivation. The results showed that both the duration of application use and the level of collaboration were significant factors in increasing student motivation. Specifically, motivation increased by an average of 0.72 points for every 10 minutes of application use, as measured by the difference between pre-test and post-test survey scores. These findings underscore the importance of balancing competitive and collaborative elements within game-based learning environments. By incorporating features that promote collaboration and encouraging sustained application use, educators can significantly enhance student engagement and motivation. The study provides valuable insights for the development of future game-based learning applications, highlighting the need for optimal design in terms of collaboration and duration to create an effective and engaging digital learning experience.
Enhancing Potato Leaf Disease Detection: Implementation of Convolutional Vision Transformers with Synthetic Datasets from Stable Diffusion Astuti, Tri; Umar, Amri Nurkholis; Wahyudi, Rizki; Rifai, Zanuar
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2167

Abstract

Numerous studies have addressed the classification of potato plants. However, the available datasets often lack the necessary diversity to improve the accuracy of predictive classification models effectively. Our research capitalizes on synthetic datasets generated through the Stable Diffusion 1.5 image generation method to address this challenge. This study suggests a new way to solve the problem by using artificial datasets created with the Stable Diffusion 1.5 method to teach a Convolutional Vision Transformer (CvT) model how to identify diseases on potato leaves accurately. Our objective is to train the CvT model employing synthetic datasets to excel in detecting potato leaf diseases. Our methodology encompasses the model's training using synthetic datasets from Stable Diffusion 1.5. We employ a comprehensive dataset of 11,121 synthetic images to train the Convolutional Vision Transformer (CvT) model, which enables it to accurately identify various potato leaf diseases such as black leg/soft rot, mosaic, leaf roll, early blight, and late blight. We conduct evaluations at multiple training stages to gauge the model's performance and accuracy. The outcomes of our research underscore the effectiveness of employing synthetic datasets from Stable Diffusion 1.5, which significantly augments the available image data while preserving a high level of accuracy. The CvT model proficiently identifies potato leaf diseases with an evaluation accuracy of 84%. Additional testing reveals that by the fifth epoch, the CvT model attains an accuracy of 81% when assessed using 82 randomly selected images of diseased plants from Google. The implications of this research are far-reaching, particularly within the domains of image processing and agriculture. The strategy of utilizing synthetic datasets to train the CvT model presents an efficient remedy to address the limitations of original image datasets. The adept disease detection capability of the CvT model holds the potential to expedite plant condition identification, mitigate crop loss, and ultimately amplify agricultural productivity. This study effectively demonstrates that the Convolutional Vision Transformer (CvT), when leveraged with synthetic datasets from Stable Diffusion 1.5, produces a model capable of accurately identifying potato leaf diseases. These findings bear positive implications for both the agricultural and image-processing sectors. 
Integrasi Technology Readiness dan Technology Acceptance Model Terhadap Kesiapan Pengguna Enterprise Resource Planning (ERP) pada Industri Pengolahan Kelapa Organik Afiana, Fiby Nur; Rifai, Zanuar; Frilisia, Willy Ardo
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp100-110

Abstract

The manufacturing engineering technology that is widely used to integrate activities, financial management, production, and projects into human resource management is Enterprise Resource Planning. One of them is Odoo which is utilized by an organic coconut processing company in Banyumas Regency. Investment in technology often raises pros and cons in a company, where technology investment cannot immediately provide benefits. So the attitude of Human Resources and the level of user readiness for the Adoo application really needs to be studied. The TRAM (Technology Readiness and Acceptance and Odel) method is a combination of the concepts of the Technology Readiness and Technology Acceptance Model, used to determine the effect of user readiness on technology acceptance in a company with the addition of one variable, namely perceived enjoyment. The results obtained by the five hypotheses are stated to have a positive and significant effect, while the two hypotheses are stated to have a negative and insignificant effect. Technology Readiness has a positive and significant effect on Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, and Intention to use Odoo while Perceived Usefulness and Perceived Ease of Use have a negative and insignificant effect on Intention to use Odoo. Perceived Enjoyment has a positive and significant effect on the Intention to use Odoo and is a factor that quite influences the readiness and acceptance of new technology. The results of the research can be used by companies to weigh and decide how the company is going towards technology. Considering that the cost of adopting technology is sufficient and significant, it cannot immediately provide benefits to the company, but the benefits can be felt several years later.
“Seeker” Platform LMS Pengembangan dan Penyediaan Tenaga Kerja Kompeten Hasirun; Prakosa, Herjuna Ardi; Rachindratama, Joda; Zahbika, Putra Maulana; Rifai, Zanuar; Faqih, Husni; Nur Afiana, Fiby
MULTINETICS Vol. 11 No. 02 (2025): Vol. 11 No. 2 (2025): MULTINETICS Nopember (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

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

Abstract

The Industrial Revolution 4.0 is estimated to eliminate 23 million jobs but create 46 million new types of jobs based on technology such as IoT, AI, and Big Data. This change demands the readiness of human resources, including in the MSME sector, as well as increased digital competency. Many companies now require skills certification in addition to formal diplomas. LMS (Learning Management Systems) are present as digital learning solutions that manage materials, assignments, and online learning interactions. However, most LMSs still focus on formal education, not on developing skills for high school/vocational school or university graduates. The aim of this research is to combine elements of LMS and job seekers in an effort to strengthen the advantages of future generations through competitive qualifications, skills, and technology in the industry. This platform allows collaboration with educational institutions, industry, and MSMEs to build a strong cooperative ecosystem in the socio-environmental field. Using the Prototype method as a software development method to support the success of the research. The LMS "Seeker" is present as a platform for providing competent workers through certified skills classes at affordable prices. Its advantages are a curriculum relevant to industry needs, increased workforce competitiveness, and access to broad job opportunities
Penerapan Teknologi Produksi dan Penguatan Pemasaran untuk Meningkatkan Mutu Produk Mocaf Yunita, Ika Romadoni; Tripustikasari, Eka; Nugroho, Adityo; Cakrakencana, Muhamad Bintang; Rahmawati, Lili Dwi; Rifai, Zanuar; Afiana, Fiby Nur
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 6 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i6.1405

Abstract

Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilaksanakan di Desa Pangebatan dengan sasaran utama BUMDes Berkah Sentosa. Program ini merupakan bagian dari hibah Kemdiktisaintek tahun 2025 yang bertujuan untuk meningkatkan kualitas dan daya saing produk Mocaf (Modified Cassava Flour) melalui penerapan alat produksi modern serta penguatan manajemen pemasaran dan keuangan. Kegiatan dilakukan secara bertahap mulai bulan Juli hingga akhir tahun 2025, melibatkan dosen dan mahasiswa Universitas Amikom Purwokerto. Sebelum pendampingan, proses pengeringan Mocaf membutuhkan waktu 2–3 hari dengan kapasitas produksi 100 kg per siklus. Setelah penerapan teknologi dry house, waktu pengeringan dipersingkat menjadi 24 jam dengan peningkatan kapasitas produksi menjadi 200 kg per siklus. Pelatihan diikuti 10 peserta dengan peningkatan kemampuan berdasarkan hasil pre-test dan post-test.
Co-Authors Adityo Nugroho, Adityo Afiana, Fiby Nur Al Afghani, Muhammad Akbar Aulia Hamdi Cakrakencana, Muhamad Bintang Eka Tripustikasari, Eka Faqih, Husni Frilisia, Willy Ardo Hasirun Huberta, Bima Nida, Faridatun Nur Afiana, Fiby Oktaviana, Luzi Prakosa, Herjuna Ardi Rachindratama, Joda Rahmawati, Lili Dwi Rizki Wahyudi Suliswaningsih, Suliswaningsih Tri Astuti Umar, Amri Nurkholis Wijaya, Anugerah Bagus Yunita, Ika Romadoni Zahbika, Putra Maulana Zettira, Salsa Billa Zulmi