Garuda - Garba Rujukan Digital

DIVERSIFIKASI PRODUK KOPI INSTAN DENGAN MESIN SPRAY DRYER Probowulan, Diyah; Siswanto, Edy; Bagus, Cahya Tri
Jurnal Pengabdian Masyarakat IPTEKS Vol 3, No 1 (2017): JURNAL PENGABDIAN MASYARAKAT IPTEKS
Publisher : Universitas Muhammadiyah Jember

Industri pengolahan kopi nasional belum optimal karena hanya 20% total produksi kopi di Indonesia yang diolah menjadi kopi olahan (kopi bubuk, kopi instan, kopi mix), dan 80% dalam bentuk biji kopi kering (coffee beans). Sebagian kecil dari 20% adalah produsen kopi olahan baik perorangan atau kelompok kecil dengan mutu produk dan harga rendah. Kondisi ini dialami oleh petani kopi di Lembaga Masyarakat Desa Hutan (LMDH) Wana Asri Desa Sumber Salak Kecamatan Ledokombo Kabupaten Jember, dimana hasil panen dijual dalam bentuk biji kopi basah dan biji kopi kering. Upaya menciptakan nilai tambah dari pengolahan biji kopi kering menjadi kopi bubuk telah dilakukan oleh Kelompok Tani Kopi Raung Desa Sempolan Kecamatan Silo Kabupaten Jember dengan mesin penggilingan kopi. Hasilnya berupa kopi bubuk dengan tekstur butiran kasar dan tidak ada penggunaan bahan penolong untuk menciptakan rasa dan aroma kopi khas daerah. Penyebab kondisi ini adalah keterbatasan informasi tentang teknologi mesin produksi kopi olahan yang dapat dimanfaatkan untuk mengolah kopi hasil panen menjadi produk kopi olahan yang memiliki mutu dan nilai jual tinggi. Hal ini berdampak pada mutu dan harga jual kopi bubuk tradisional relatif rendah dan nilai tambah yang diharapkan sangat kecil sehingga tidak memiliki pengaruh signifikan terhadap pendapatan petani. Oleh karena itu kegiatan ini bertujuan untuk memanfaatkan teknologi mesin spray dryer untuk kegiatan produksi diversifikasi kopi olahan dalam bentuk kopi instan aneka rasa yang memenuhi standar uji organoleptik meliputi tekstur, aroma dan rasa. Sedangkan target khusus yang akan dicapai adalah pengembangan unit usaha pengolahan kopi instan aneka rasa khas daerah dengan menerapkan paket teknologi spray dryer, model manajemen keuangan berbasis akuntansi dan model pemasaran berbasis jaringan ritel di Kota Jember. Tim Pelaksana PKM telah melaksanakan kegiatan perancangan mesin spray dryer double heater soft gun sebagai alat produksi pengolahan kopi instan, pengujian formula komposisi bahan larutan starter dan kopi untuk menghasilkan bubuk kopi instan. Kinerja pengujian terbaik menghasilkan 48,5 gr bubuk kopi instan dari 170 ml larutan kopi instan atau 28,5%. Kegiatan ketiga adalah sosialisasi kepada mitra masyarakat sasaran tentang diversifikasi kopi instan dan manfaat kopi bagi kesehatan serta pentingnya model keuangan dan pemasaran dalam kegiatan bisnis. Kata kunci : Diversifikasi, Kopi Instan, Spray Dryer, Keuangan, Pemasaran

MANAGEMENT INDICATORS OF GOOD INFRASTRUCTURE FACILITIES TO IMPROVE SCHOOL QUALITY Siswanto, Edy; Hidayati, Dian
International Journal of Educational Management and Innovation Vol 1, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijemi.v1i1.1516

Facilities and infrastructures in education are essential to improve the quality of the teaching and learning process in schools. Principals are responsible for managing facilities and infrastructures in schools. The implementation of learning to teach in schools will be subjected to obstacles when facilities and infrastructure are inadequate. The purpose of this research is 1) describing the importance of facilities and infrastructure in improving the quality of learning, 2) Knowing how to plan, manage, use and maintenance of facilities and infrastructure in schools, 3) indicators Management of good infrastructure for the improvement of School quality 4) school readiness in preparing facilities and infrastructure to support learning in the 4.0 era. The case study used in MTS Muhammadiyah Sidomulyo. The research used in this research is descriptive qualitative research. Data collection techniques using interviews, observation, and documentation. The results of the research show that the headmaster is planning in fulfilling facilities and infrastructure tailored to the level of needs each year. The planning will be known as management indicators of any infrastructure which is a good or most significant influence on the improvement of the quality of the school. Precisely the use of facilities and infrastructure can improve the quality of learning in Mts Muhammadiyah Sidomulyo. Damaged facilities and infrastructure will be given repairs. If no longer repaired, the school will apply for new procurement. All parties in the school must maintain existing facilities, and infrastructures to improve the quality of learning.

Exploring Barriers and Solutions of Online Learning During the Covid-19 Pandemic By Vocational School Teachers Fahmalatif, Farida; PURWANTO, AGUS; Siswanto, Edy; Ardiyanto, Jeffri
Journal of Industrial Engineering & Management Research Vol. 2 No. 2 (2021): April 2021
Publisher : AGUSPATI Research Institute

This study aims to determine the problems experienced by teachers during Covid-19 pandemic in which teachers must conduct online learning. This research is a descriptive study using the online survey method. The data was collected using online questionnaires to 120 respondents of teacher vocational schools. It was found that 98% of the vocational schools teachers respondents have conducted online learning during the Covid-19 pandemic, and 1 teacher did not use online model. The information obtained is that 100% of the teacher is doing online learning model (in the network). More than 9 medias used by vocational schools teachers in Bantul district during the pandemic were offered namely WhatsApps, WhatsApp Web, Google Classroom, Google Group, TeamLink, Microsoft Teams, Kaizala Microsoft, Zoom Meeting & Webinar, Youtube, Google Hangouts, and others. 100% of teachers or as many as 87 teachers are learning with WhatsApps application as the first choice. Furthermore, 16% of teachers use some application supporters of WhatsApp. Google Class is the second option. The third option is Google form as much as 14% or 8 teachers. The use of Google Form is for students' worksheets. The fourth choice is YouTube with as many as 9% or 5 teachers. Short videos related to the material being taught in 10-24 minutes. The fifth application is the Zoom Cloud Meeting for only 4% or6 teachers who chose this platform.

The Role of the Social Media and Family Environment on Entrepreneurial Interest of Vocational School Students Suharto, Suharto; Siswanto, Edy; Ardiyanto, Jefri; Rahayuni, Arintina
Economic Education Analysis Journal Vol 11 No 1 (2022): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/eeaj.v11i1.50718

The purpose of this study was to analyze the relationship between social media variables on entrepreneurial interest, the relationship between family environment and entrepreneurial interest. This research method is a quantitative survey. Data collection is done by using a questionnaire (likert scale) which is packaged in a google form and distributed through WhatsApp Group. The method in this study is quantitative using the survey method. The study was carried out in August-December 2021 with the research respondents are 188 of vocational School students in Semarang, by using a proportional random sampling technique and using the Slovin formula. Data analysis techniques in quantitative research use structural equation modeling (SEM) and statistical tools SmartPLS 3.3.3 software. The results of the study indicate that there is a positive and significant effect of family environment variables and social media on student entrepreneurship interest. The practical implication of this research is to increase student entrepreneurial interest, so schools must increase social media and family environment variables.

The Role of Digital Leadership, Total Quality Management, and Knowledge Management on Sustainability Management of Vocational Schools Suharto, Suharto; Siswanto, Edy; Prasetyo, Totok; Sarana, Sarana
Journal of Research and Educational Research Evaluation Vol 12 No 1 (2023)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jere.v12i1.66990

The aims of this study is to analyze the relationship digital leadership significantly effects on Sustainability Management, digital leadership on total quality management, digital leadership on knowledge management, total quality management on sustainability management, knowledge management on sustainability management and knowledge management on total quality management. This study uses quantitative research methods. The data sources used in this study are primary and secondary data sources. The main data in this study comes from the results of a questionnaire survey of 320 vocational school teachers determined by simple sampling method. The data analysis method used in this study is structural equation modeling (SEM) which is a descriptive statistical test used to verify hypotheses while verifying their validity and reliability. Data processing was performed using the SmartPLS 3.0 application. Here are the results of this survey: Digital leadership has a great impact on sustainability management Digital leadership has a great impact on total quality management Digital leadership has a great impact on knowledge management Total quality management has a great impact on sustainability management Gives Knowledge management has a huge impact. Impact on Sustainability Management Knowledge management has a significant impact on overall quality management.

Leveraging Machine Learning for Personalized Recommendations in Mobile Tourism: A Study on Collaborative and Content-Based Filtering zainudin, ahmad; Siswanto, Edy
Journal of Technology Informatics and Engineering Vol 3 No 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.190

The rapid growth of the tourism industry, coupled with the increasing reliance on mobile technology, necessitates the development of intelligent applications that enhance user experience through personalized recommendations. This research investigates the application of machine learning techniques, specifically Collaborative Filtering and Content-Based Filtering, to create a mobile tourism application that addresses the challenges of providing relevant and tailored suggestions to users. The primary objective of this study is to improve user satisfaction and engagement by delivering precise recommendations based on individual preferences and behaviors. To achieve this, the research employs a mixed-methods approach, combining quantitative data analysis from user interactions and qualitative assessments of user feedback. The study utilizes datasets sourced from reputable platforms, including user ratings and demographic information, to train the recommendation algorithms effectively. The evaluation of the implemented system demonstrates a significant increase in recommendation accuracy, leading to enhanced user satisfaction and increased visitation rates to tourist attractions. The findings indicate that the integration of Collaborative Filtering and Content-Based Filtering not only optimizes the personalization of recommendations but also fosters user loyalty and engagement with the application. By leveraging machine learning techniques, tourism providers can better understand user preferences, ultimately leading to a competitive advantage in a crowded market. This study contributes to the ongoing discourse on the intersection of technology and tourism, offering valuable insights for future research and application development in this dynamic field.

A Robust Authentication Method for Electronic Banking Transactions: Two-Way Challenge-Response Approach Achlison, Unang; Miftahurrohman, Miftahurrohman; Siswanto, Edy
Journal of Technology Informatics and Engineering Vol 3 No 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.195

The security of electronic banking transactions is becoming increasingly critical due to the rising threat of cyberattacks, which can result in financial and reputational damage to financial institutions. Despite the implementation of various authentication methods, vulnerabilities remain that can be exploited by attackers, particularly in the context of static passwords and tokens. This study aims to address these shortcomings by implementing the Two-Way Challenge-Response method, which offers a more robust and dynamic authentication approach. The method employed in this research involves the exchange of information between the client and server, where the challenges generated are unique to each authentication session. This process not only validates user identities but also ensures that the transmitted information cannot be predicted by third parties. The results of the study indicate that the application of this method significantly reduces the risk of attacks such as identity theft and replay attacks, while also enhancing the speed and efficiency of the authentication process. The implications of these findings suggest that the Two-Way Challenge-Response method can be an effective solution for enhancing the security of electronic banking transactions. By adopting this method, financial institutions can strengthen their security systems, increase user trust, and reduce the potential for losses due to cyberattacks. This research contributes significantly to the development of more secure authentication systems in the digital age

The Impact of E-Commerce and Accounting Information Systems on Entrepreneurial Decision-Making in MSMEs: A Quantitative Study in the Digital Era Siswanto, Edy; Aqdam, Ahmad Ashifuddin
Journal of Management and Informatics Vol. 3 No. 1 (2024): April Season| JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v3i1.42

This study investigates the influence of e-commerce and accounting information systems (AIS) on entrepreneurial decision-making among Micro, Small, and Medium Enterprises (MSMEs) in the digital era. Using a quantitative research approach, the study employs multiple linear regression analysis to examine the extent to which these technologies enhance data-driven decision-making. The findings reveal a significant positive relationship between e-commerce and AIS and the quality of decisions made by MSME operators. E-commerce provides real-time market insights, enabling faster responses to consumer trends, while AIS enhances financial accuracy and strategic planning by integrating financial data. Statistical analysis demonstrates that e-commerce and AIS collectively explain 66% of the variance in decision-making quality, with e-commerce contributing a regression coefficient of 0.45 and AIS at 0.55, both significant at p < 0.05. These technologies have enabled MSMEs to improve operational efficiency, respond promptly to market demands, and make more informed strategic decisions. However, barriers such as limited financial resources, technical expertise, and data security concerns pose challenges to broader adoption. The study emphasizes the necessity for government and institutional support in providing training and financial incentives to facilitate technology adoption among MSMEs. The findings contribute to the growing literature on digital transformation in business, highlighting the critical role of technology integration in enhancing decision-making processes in the MSME sector.

Jurnal Sistem Informasi Persediaan Barang Dengan Metode Buffer Stock Berbasis Web Firnanda, Silma; Aqham, Ahmad Ashifuddin; Sudibyo, Sukemi Kamto; Siswanto, Edy
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.979

Inventory management plays a crucial role in ensuring smooth business operations by preventing stockouts that may cause losses. Toko Cat Gani still relies on manual recording, which is prone to data loss, duplicate entries, and delays in stock reporting, thus requiring a systematic solution. This study aims to design and implement a web-based inventory information system using the buffer stock method to overcome these issues. The research method employed is Research and Development (R&D) with a prototype model, consisting of needs analysis, system design, validation, and testing stages. The system was developed using PHP, MySQL, and XAMPP, featuring item data management, supplier management, inbound and outbound transactions, buffer stock calculations, and real-time inventory reports. The implementation results show that the system facilitates transaction recording, minimizes data entry errors, provides notifications when stock reaches the minimum threshold, and generates accurate and timely reports. Expert validation and user testing confirm that the system is feasible and effective in supporting inventory management at Toko Cat Gani. Therefore, the implementation of a web-based inventory information system with the buffer stock method can be considered an efficient and reliable solution to improve accuracy and effectiveness in inventory control.

Leveraging Machine Learning for Personalized Recommendations in Mobile Tourism: A Study on Collaborative and Content-Based Filtering zainudin, ahmad; Siswanto, Edy
Journal of Technology Informatics and Engineering Vol. 3 No. 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.190

The rapid growth of the tourism industry, coupled with the increasing reliance on mobile technology, necessitates the development of intelligent applications that enhance user experience through personalized recommendations. This research investigates the application of machine learning techniques, specifically Collaborative Filtering and Content-Based Filtering, to create a mobile tourism application that addresses the challenges of providing relevant and tailored suggestions to users. The primary objective of this study is to improve user satisfaction and engagement by delivering precise recommendations based on individual preferences and behaviors. To achieve this, the research employs a mixed-methods approach, combining quantitative data analysis from user interactions and qualitative assessments of user feedback. The study utilizes datasets sourced from reputable platforms, including user ratings and demographic information, to train the recommendation algorithms effectively. The evaluation of the implemented system demonstrates a significant increase in recommendation accuracy, leading to enhanced user satisfaction and increased visitation rates to tourist attractions. The findings indicate that the integration of Collaborative Filtering and Content-Based Filtering not only optimizes the personalization of recommendations but also fosters user loyalty and engagement with the application. By leveraging machine learning techniques, tourism providers can better understand user preferences, ultimately leading to a competitive advantage in a crowded market. This study contributes to the ongoing discourse on the intersection of technology and tourism, offering valuable insights for future research and application development in this dynamic field.

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