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Tahap Development dalam Metode ADDIE Pengembangan Bahan Ajar berbasis Mobile Rangga Bayu Rinawan; Zaenal Mustofa; Yussi Anggraini
Jurnal Publikasi Teknik Informatika Vol. 3 No. 2 (2024): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i2.3207

Abstract

Teaching materials are sources of knowledge that are useful as sources of information used by teachers and students in teaching and learning activities. Printed teaching materials are currently expensive and difficult to obtain. Current technological developments support the development of modern teaching materials and can be accessed anytime and anywhere. Mobile-based teaching materials are a solution to this problem. Through this product, teachers can provide complete material accompanied by a guide to conducting practicums. Teachers can monitor students' learning progress from the application and provide guidance if there are questions from students. Students can use the product with direct guidance from the teacher. So that the learning process will be well directed. This article discusses the development stage of the ADDIE method (Analyze, Design, Development, Implementation and Evaluation). The analyze and design stage has been published in another article. This development stage discusses the initial formation of the product to become a product. The product being developed can be seen starting from the initial login display, the main menu containing the features available in the application, the material menu containing various materials and function buttons inside along with the quiz menu with buttons that are useful as supporting quizzes.
Penerapan Sistem Pendukung Keputusan Berbasis Metode Pareto ABC dan Optimasi Kualitatif untuk Efisiensi Pengadaan Obat Susilo Romadhon; Zaenal Mustofa
Jurnal Publikasi Teknik Informatika Vol. 3 No. 2 (2024): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i2.3334

Abstract

Drug procurement at Amandha pharmacy is still carried out with uncertain considerations, resulting in irregular scheduling, this will have an impact on inventory costs due to the accumulation of inventory in the warehouse or the absence of drug inventory, pharmacy managers have difficulty in making decisions for drug procurement, due to factors that must be considered, namely the number of drug item sales, investment and cost allocation. The purpose of this study is to create software with the application of the Pareto ABC method and qualitative optimization which will be one of the considerations in decision making in ordering drugs. In this new system, the number of drug procurements to be ordered is based on 3 values ​​as considerations, namely use value, investment value and critical index value, with reference to the Pareto ABC method having a class level divided into class A with an investment value of 70%, class B 20% and class C 10%, the system will provide recommendations as considerations for the agency in ordering drugs. The function of this research is as a consideration in solving problems and improving the quality of drug procurement. The results of the research are in the form of software for drug procurement decision support systems as a consideration in preparing a strategic ordering plan that supports increasing efficiency, effectiveness and benefits of the agency.
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.
Pendampingan Guru dalam Pemanfaatan Big Data untuk Optimalisasi Asesmen Pembelajaran di SMP Muhammadiyah Sleman Endang Sri Budi Herawati; Priadi Surya; Zaenal Mustofa
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v6i1.3493

Abstract

Permasalahan utama yang dihadapi mitra meliputi pengelolaan data asesmen yang masih bersifat manual, belum terintegrasinya sistem asesmen pembelajaran, serta keterbatasan pemahaman guru dalam memanfaatkan data asesmen sebagai dasar pengambilan keputusan pembelajaran. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan kapasitas guru dalam mengelola asesmen pembelajaran berbasis data melalui pendampingan pemanfaatan big data sebagai bagian dari penguatan manajemen pendidikan modern. Kegiatan dilaksanakan di SMP Muhammadiyah Sleman dengan melibatkan guru, tenaga kependidikan, dan kepala sekolah sebagai mitra sasaran.  Metode pelaksanaan kegiatan menggunakan pendekatan In–On–In, yang meliputi pelatihan awal, pendampingan praktik, serta penguatan dan refleksi. Intervensi dilakukan melalui pelatihan konsep asesmen berbasis data dan pembelajaran mendalam, pendampingan penyusunan perangkat pembelajaran, serta pengembangan dan uji coba Sistem Informasi Manajemen Data Asesmen (SIMDA Sekolah) dan Learning Management System (LMS) berbasis asesmen. Hasil kegiatan menunjukkan adanya peningkatan kompetensi guru dalam memahami dan menerapkan asesmen berbasis data, yang ditunjukkan melalui peningkatan hasil pre–post test serta kemampuan guru dalam menyusun dan mengimplementasikan perangkat pembelajaran berbasis data. Seluruh peserta berhasil menyusun RPP berbasis pembelajaran mendalam dan melakukan simulasi pemanfaatan sistem asesmen digital. Selain itu, pengembangan awal SIMDA Sekolah dan LMS berbasis asesmen memberikan dasar bagi sekolah dalam mengelola data pembelajaran secara lebih terstruktur dan berkelanjutan. Secara keseluruhan, kegiatan PkM ini memberikan kontribusi nyata dalam penguatan kompetensi guru dan kesiapan sekolah dalam mengadopsi manajemen pembelajaran berbasis data. Pendampingan pemanfaatan big data terbukti relevan dan aplikatif untuk mendukung optimalisasi asesmen pembelajaran serta peningkatan mutu pendidikan di sekolah mitra.
SISTEM INFORMASI MANAJEMEN PERSEDIAAN DENGAN FUNGSI GRAFIK STATISTIK PERUSAHAAN PENJUALAN MOTOR BERBASIS CLIENT-SERVER Arsito Ari Kuncoro; Febryantahanuji Febryantahanuji; Zaenal Mustofa
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 2 (2024): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v2i1.1032

Abstract

Utilization of client server technology in inventory information systems is very effective and efficient, because client server is a form of architecture, where the client is a receiving device that will display and run applications (computer software) and a server is a device that provides and acts as an application manager, data , and security. Companies engaged in the field of motorcycle units of any brand which usually also sells motorcycle spare parts, and motorcycle service services. The process of collecting data on motorbikes for companies engaged in the sale of motorbikes is still carried out with simple records. Data entry and exit of motorbikes is recorded in a book and then inputted manually so it is less efficient because it takes a long time for the data entry process. Motor data storage is still in the form of a separate file so that data can be lost and easily damaged. Searching for data takes a long time because it has not been stored on a special server and the lack of security from irresponsible parties has resulted in the process of making sales/expense reports and requesting reports for motorcycle sales companies to be ineffective and inefficient.
Kesiapan dan Kebutuhan Guru SMP dalam Koding dan Kecerdasan Artifisial: Analisis Awal untuk Perancangan Pelatihan di Kabupaten Bantul Zaenal Mustofa; Ratna Wardani; Nurkhamid Nurkhamid; Agus Qomaruddin Munir; Ramadhana Setiyawan
Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Oktober: Jurnal Pengabdian Masyarakat
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/abdimas45.v5i2.7999

Abstract

Coding and Artificial Intelligence (AI) literacy have become important competencies for teachers in facing 21st-century educational demands, yet their integration into junior high school (SMP) instruction is often limited by teachers' conceptual and practical readiness. This article reports the initial needs-identification stage of a community service program designed to strengthen SMP teachers' readiness in coding and AI (referred to jointly as KKA) in Bantul Regency, Yogyakarta, as an empirical basis for designing subsequent contextual training. A needs-assessment questionnaire was administered to 19 SMP teachers across subject areas in Bantul Regency, covering profile, prior coding/AI teaching experience, perceived challenges, current media use, and perceptions of augmented reality (AR) as a potential learning medium. Results show that 58% of respondents had never taught coding or AI, and technical topics such as algorithms and machine learning were rarely covered (11%), while the most frequently reported obstacle was students' heterogeneous prior ability (79%) rather than low student motivation. Respondents reported strong perceived importance of AR-based learning features, particularly step-by-step guidance (mean score 4.47/5) and adaptive content (4.42/5), along with positive self-reported attitudes toward AR adoption (behavioral intention score 4.37/5) despite limited prior AR experience. As these findings are self-reported perceptions and needs rather than measured competency outcomes, they are interpreted as an empirical baseline indicating that practice-based, subject-contextual training accompanied by continuous mentoring is a relevant strategy to address the identified coding and AI competency gap, and that AR is a promising direction for learning-media development in the next stage of the 2026-2030 community service roadmap.
PERANCANGAN SISTEM ANTRIAN LAYANAN PERBAIKAN KOMPUTER BERBASIS WEB DENGAN METODE FIRST IN FIRST OUT Putra Adji Bintoro; Zaenal Mustofa
Journal of Information Technology and Education (JITED) Vol. 4 No. 2 (2026): September 2026
Publisher : Department of Electronics and Informatics Engineering Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jited.v4i2.4051

Abstract

Perkembangan teknologi digital menuntut berbagai sektor layanan untuk meningkatkan efisiensi dan efektivitasnya, termasuk dalam pengelolaan sistem antrian layanan perbaikan komputer. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem antrian berbasis web dengan metode First In First Out (FIFO) di SMK Negeri 2 Depok Sleman guna mengoptimalkan manajemen layanan perbaikan. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan perangkat lunak Waterfall, mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Pengujian sistem dilakukan berdasarkan standar ISO 25010 dengan menilai aspek functional suitability, usability, dan reliability. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan memiliki tingkat keberhasilan 100% pada aspek functional suitability, nilai usability sebesar 79 dalam kategori sangat baik, serta reliability dengan tingkat keberhasilan hits, session dan page sebesar 100%. Kesimpulannya, sistem antrian berbasis web ini mampu meningkatkan efektivitas layanan perbaikan komputer dan dapat diimplementasikan sebagai solusi inovatif bagi SMK Negeri 2 Depok Sleman. Pengembangan lebih lanjut dapat dilakukan dengan menambahkan fitur notifikasi otomatis dan sistem pemesanan layanan online untuk meningkatkan pengalaman pengguna.
Asas Oportunitas dalam Penegakan Hukum Pidana Korupsi: Studi Yuridis terhadap Kewenangan Jaksa Muhammad Kurniawan Budi Wibowo; Zaenal Mustofa; Aris Sunindyo; Agus Marzuki; Aditya Fajri Kurnia Pradana
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 24 No. 1 (2025): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v24i2.6410

Abstract

The principle of opportunity is a criminal law principle that gives prosecutors the authority not to continue prosecuting cases in the public interest. In Indonesia, although the legal system normatively adheres to the principle of legality, the practice of discretion by prosecutors in handling cases, including corruption, shows a tendency to apply the principle of opportunity which has not been strictly regulated. Corruption as an extraordinary crime demands strict, transparent and accountable law enforcement. However, the use of discretion by prosecutors in stopping corruption cases risks weakening public trust and opening up opportunities for abuse of authority. This research aims to juridically examine the position of the principle of opportunity in the Indonesian criminal law system and assess the prosecutor's authority in applying it in corruption cases. The research method used is normative juridical with statutory, conceptual, and comparative legal approaches. The results of the study show that there is a need for normative limits on the prosecutor's discretionary space, especially in corruption cases, as well as strengthening the external supervision mechanism. Comparative studies with countries such as the Netherlands and Japan show that the application of the principle of opportunity can be effective if supported by accountability and strict supervision. Therefore, legal policy reform in the form of codification of norms and transparency of law enforcement is an urgency in order to strengthen the integrity of the prosecutorial institution and the effectiveness of corruption eradication.