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All Journal ELINVO (Electronics, Informatics, and Vocational Education) Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF)
Nurkhamid, Nurkhamid
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Learning Management Training Management System at STKIP Pacitan as an Effort to Increase Learning Effectiveness Munir, Agus Qomaruddin; Wardani, Ratna; Nurkhamid, Nurkhamid; Setiyawan, Ramadhana; Mustofa, Zaenal
Wikrama Parahita : Jurnal Pengabdian Masyarakat Vol. 9 No. 1 (2025): May 2025
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jpmwp.v9i1.8986

Abstract

STKIP Pacitan has adopted Moodle as its primary Learning Management System (LMS) to improve the quality of learning and teaching efficiency in the digital era. Adapting to educational technology requires the faculty's deep understanding and effective management skills. Therefore, Moodle management training was conducted to enhance the faculty's abilities in planning, targeting, and producing quality learning outcomes. Through interactive sessions and workshops, faculty members were taught how to design courses, organize content, and utilize Moodle's features for more dynamic and participatory learning activities. The main focus of the training was on integrating assessment tools and discussion forums to enhance interaction and effective feedback. The training evaluation was conducted by measuring the faculty's performance before and after the training using indicators of course planning quality and evaluation tools. The training successfully demonstrated that the use of Moodle not only supports the efficiency of the teaching and learning process but also improves the quality of education at STKIP Pacitan, with increases of 27%, 68%, and 77% over three months in May, June, and July 2024, respectively. In addition, several applied learning methods positively impact students; feedback to students is increasingly focused (LMS record), which shows that learning effectiveness is increasing. This training recommends ongoing training to ensure optimal utilization of educational technology and continuous adaptation to the latest developments in educational technology.
Assistance in Managing Content for the Culinary Park Website to Increase Visits in Katekan Gantiwarno Village, Klaten, Central Jawa Nurkhamid, Nurkhamid; Munir, Agus Qomaruddin; Wardani, Ratna; Setiyawan, Ramadhana; Mustofa, Zaenal
Wikrama Parahita : Jurnal Pengabdian Masyarakat Vol. 9 No. 1 (2025): May 2025
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jpmwp.v9i1.9329

Abstract

Katekan Village Culinary Park, Gantiwarno, Klaten, Central Java, is a culinary tourism spot that was just inaugurated in July 2023 by the Regent of Klaten which aims to develop local MSME activities in the Klaten area of Central Java. Several problems include the need to open insights for culinary MSME actors to participate in developing culinary tourism spots, limited infrastructure, information systems, management, marketing and promotion, product quality and sustainability, and local community participation. The urgency lies in the potential to transform Katekan Village into an attractive tourism destination and provide better business opportunities for surrounding MSMEs. The method used in this PKM activity is Participation Action Research, involving the village government in managing information media and fostering information media management skills through websites, which impacts the increase in the number of visits. The output of this activity is an activity in the form of developing culinary park tourism in Katekan Village, Gantiwarno, Klaten, Central Java, with information technology media in the form of a prototype of a website-based culinary park information system which has an impact on increasing the number of visits by 70%.
ANALISIS KUALITAS SISTEM INFORMASI KEGIATAN SEKOLAH BERBASIS MOBILE WEB DI SMK NEGERI 2 YOGYAKARTA Ghaffur, Taufiq Abdul; Nurkhamid, Nurkhamid
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 1 (2017): May 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.872 KB) | DOI: 10.21831/elinvo.v2i1.16426

Abstract

Tujuan dari penelitian ini adalah menjamin tingkat kualitas Sistem Informasi Kegiatan Sekolah berbasis mobile web agar tidak terjadi error serta fitur dan fugsionalitasnya sesuai yang dijanjikan dengan melakukan pengujian menggunakan standar ISO 25010. Pengujian dilakukan menggunakan 4 karakteristik pada standar ISO 25010 yaitu functional suitability, compatibility, usability, dan performance efficiency. Instrumen yang digunakan yaitu black-box testing, USE Questionnaire, Yslow tools dan Pingdom Website Speed Test. Hasil dari penelitian ini adalah Sistem Informasi Kegiatan Sekolah telah memenuhi standar ISO 25010 pada karakteristik functional suitability dengan nilai 100% (sangat tinggi), karakteristik compatibility sebesar 100% , karakteristik usability sebesar 82% dengan nilai alpha cronbach sebesar 0.981 (sempurna), dan karakteristik performance efficiency diperoleh nilai rata-rata overall performance score 94.2 dan rata-rata kecepatan akses sebesar 0.9305 detik setiap halaman (baik).
Deep Learning Rnn-Lstm Model For Forecasting Tourist Visits In Yogyakarta Using Bps Time-Series Data Munir, Agus Qomaruddin; Wardani, Ratna; Setiyawan, Ramadhana; Mustofa, Zaenal; Nurkhamid, Nurkhamid
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5467

Abstract

Tourism is a crucial sector in Indonesia's economic growth, particularly in Yogyakarta, contributing significantly to revenue, job creation, and infrastructure development. However, the COVID-19 pandemic has significantly impacted the tourism industry, making tourist arrival forecasting crucial for effective government policy decision-making. This study aims to predict tourist arrivals in Yogyakarta using deep learning models, specifically the Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) algorithms, chosen for their ability to process time series data and address non-linearity issues. Tourist arrival data from the Yogyakarta Central Statistics Agency (BPS) was used to train and test the model. Model evaluation was conducted using the Root Mean Squared Error (RMSE) metric to measure prediction accuracy. The results show that this model can accurately predict tourist arrival patterns, which can support strategic decision-making regarding the procurement of tourism facilities in Yogyakarta. The impact of this research is to provide practical benefits for local governments and tourism industry players in planning tourism promotion and management strategies. With more accurate predictions, relevant parties can prepare necessary resources and optimize tourism services according to projected visitor numbers.
Co-Authors Agus Qomaruddin Munir Ghaffur, Taufiq Abdul Ratna Wardani Setiyawan, Ramadhana Zaenal Mustofa