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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Inovasi Pendidikan dan Sains Jurnal Pengabdian kepada Masyarakat Nusantara JPM: JURNAL PENGABDIAN MASYARAKAT Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Akademik Pengabdian Masyarakat Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
M. Ari Prayogo
Universitas Mulawarman
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Kombinasi Metode Rank Order Centroid dan Additive Ratio Assessment Untuk Pemilihan Aplikasi Manajemen Inventaris Tanniewa, Adam M; Sah, Andrian; Kurniawan, Robi; Prayogo, M Ari
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.6347

Abstract

Selecting an appropriate inventory management application is a challenge for business actors, especially SMEs, due to the variety of features, costs, and complexities offered. Manual selection is often carried out without a clear systematic approach and tends to be influenced by bias, resulting in suboptimal decisions. This study aims to integrate the Rank Order Centroid (ROC) and Additive Ratio Assessment (ARAS) approaches in developing a Decision Support System (DSS) to determine the best inventory management application. ROC is used to assign proportional weights to criteria based on priority ranking, while ARAS evaluates alternatives using these weights and relative utility values against the ideal solution. The developed system includes key features such as data management for criteria, alternatives, and values, as well as the ability to generate recommendations through alternative ranking. Based on a case study, the best alternative identified is Sortly: Inventory Simplified, with the highest utility score of 0.8627, followed by Housebook - Home Inventory (0.8528), inFlow Inventory (0.8336), and Inventory Stock Tracker (0.7056). Usability testing showed an average user acceptance rate of 91%, categorized as "Excellent". The main contribution of this research is the implementation of a practical and efficient combination of ROC and ARAS for selecting inventory management applications. The findings can be adopted by businesses to support more accurate and efficient decision-making.
Sistem Pendukung Keputusan untuk Memilih Program Kesehatan Sekolah Menggunakan COPRAS Prayogo, M. Ari; Jundillah, Muhammad Labib; Ramanda, Febri; Shodiq, Muhammad; Riendy, Riendy
Sistem Pendukung Keputusan dengan Aplikasi Vol 4 No 2 (2025)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v4i2.1304

Abstract

The School Health Program is a strategic initiative aimed at improving students’ health within the educational environment. However, selecting the most appropriate program often requires consideration of multiple complex criteria. This study develops a Decision Support System (DSS) using the COmplex PRoportional ASsessment (COPRAS) method to assist schools in determining the best health program. The alternative programs analyzed include Reproductive Health, Healthy School Cleanliness Competition, Smoke-Free School Area, Prevention of Drug Abuse (NAPZA), and Disease Control. The evaluation was conducted based on six main criteria: Implementation Cost, Student Participation, Program Effectiveness, Long-Term Health Impact, Relevance to School Needs, and Ease of Implementation. The results indicate that the third alternative (A3), namely the Smoke-Free School Area, is the most suitable school health program, achieving a utility value (Ui) of 100% among the five alternatives considered. This system is expected to make the decision-making process more objective, efficient, and supportive of fostering a healthier, more productive, and sustainable school environment.
Analysis of Hybrid Learning Model Interest Selection for students using the Multi-Attribute Utility Theory Method Case Study: Mulia University Alimyaningtias, Wahyu Nur; Saputra, Risdin; Prayogo, Ari; Sudinugraha, Tri
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3069

Abstract

Hybrid learning is a learning method that combines or combines online learning with face-to-face learning (PTM). so that in its implementation, there are times when students and teaching staff meet face to face in class. However, in its implementation there are several obstacles, one of which is the number of students attending class and decreasing interest in learning, resulting in a poor final semester assessment. In connection with the problems faced, this research will try to measure interest in the hybrid learning model that has been implemented at Mulia University using the Multi-Attribute Utility Theory method, where this method is a decision-making method used to evaluate alternatives by considering several attributes. relevant and selecting the alternative that best meets the needs and preferences of the decision maker.
Pelatihan Pemrograman Flutter untuk Pengembangan Aplikasi Android bagi Guru TIK Kota Samarinda Prayogo, M. Ari; Insan Prayitno, Pramudya Prima; Sudinugraha, Tri; Romisa, Fahmi; Akhyar, Ramaulvi Muhammad; Always, Arya; Lestari, Feni Puji
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1.1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) SPECIAL ISSUE
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.1.5088

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru Teknologi Informasi dan Komunikasi (TIK) di Kota Samarinda dalam penguasaan teknologi pengembangan aplikasi berbasis Flutter menggunakan bahasa pemrograman Dart. Pelatihan ini dirancang untuk memberikan pemahaman dasar hingga keterampilan praktis dalam mengembangkan aplikasi Android dan iOS yang sederhana dan interaktif. Metode pelatihan meliputi tahap persiapan, pelaksanaan, dan evaluasi. Pelaksanaan pelatihan dilakukan selama satu hari tepatnya hari sabtu tanggal 30 November 2024 dan dimulai dengan pengenalan framework Flutter, dasar bahasa pemrograman Dart, hingga pengembangan aplikasi sederhana dengan elemen visual dan logika dasar menggunakan widget Flutter. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap pemrograman Flutter, dengan 85% peserta berhasil mengembangkan aplikasi sederhana seperti kalkulator atau daftar tugas (to-do list). Peserta juga memberikan tanggapan positif terhadap materi yang mudah dipahami dan relevan dengan kebutuhan pembelajaran modern. Pelatihan ini mampu memberikan dampak positif pada inovasi pembelajaran berbasis teknologi, serta meningkatkan kualitas pendidikan di Kota Samarinda.
Penerapan Kombinasi Metode AHP dan ARAS Untuk Menentukan Perusahaan Pengembang Perumahan Terbaik Prayogo, M. Ari
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5569

Abstract

Housing is a collection of houses built in a certain area and is often identical to where an individual or family lives. The problem in this research is that in selecting a housing development company there are still things that are not quite right. Choosing the wrong housing developer can result in the purchase of a house that does not meet expectations. Therefore, choosing a housing development company is an important decision when buying a house. The aim of this research is to apply a combination of AHP and ARAS methods to determine which housing development company is the best in choosing a housing development company. There are several important things to pay attention to when choosing a housing developer. Therefore, in this research there are criteria parameters used in determining the best housing development company. The criteria used consist of price, quality, processing time, service and satisfaction. These five criteria are used as the basis for assessment in choosing the best housing development company. The results of applying the combination of the AHP and ARAS methods show that of the 5 alternatives there is a company with the largest Ki value of 0.780, namely PT. Ria Bakti as the best housing development company. From the results obtained, this research can provide a solution to the problem of choosing the best housing development company, so that in the future you can avoid regrets when buying housing.
The Effect of YouTube Learning Videos on Student Learning Outcomes in Block Programming Subjects Hijrah Sakinah; Galih Yudha Saputra; Ari Prayogo
Jurnal Inovasi Pendidikan dan Sains Vol 6 No 3 (2025): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jips.v6i3.2690

Abstract

This study aims to analyze the effect of using YouTube videos as an additional learning resource on student learning outcomes in Block Programming. The research method used a quasi-experiment with two groups, namely class 7E as the control group and class 7F as the experimental group. The sample was selected from two classes with the lowest daily test scores among all seventh-grade students at SMP Negeri 2 Tenggarong Seberang. The independent variable in this study was the use of YouTube media, while the dependent variable was student learning outcomes. Normality and homogeneity tests showed that the data met the requirements for further analysis. The results showed that the average post-test score of the experimental class that used YouTube media was 78, higher than the control class, which had an average score of 74. The hypothesis test results using SPSS version 26 obtained a significance value of 0.041 < 0.05, so Hₐ was accepted and H₀ was rejected. Thus, this study concluded that the use of YouTube videos had a significant effect on improving student learning outcomes in Block Programming material
Pengembangan Sistem Kuis Online dengan Deteksi Kecurangan Berbasis Kecerdasan Buatan Nirawana, I Wayan Sugianta; Prayogo, M. Ari; Haris, Celine Aloyshima
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem kuis online dengan fitur penilaian otomatis dan deteksi kecurangan berbasis kecerdasan buatan. Permasalahan utama dalam pembelajaran adalah meningkatnya potensi kecurangan ketika mengerjakan kuis, peserta masih punya kesempatan untuk mencari jawaban. Metode yang digunakan untuk mengembangkan sistem kuis online adalah model prototyping. Tahap penelitian mengumpulkan kebutuhan, pembuatan prototype awal, evaluasi pengguna, dan penyempurnaan sistem. Sistem dibangun menggunakan platform streamlit, github, pemrograman python dan diintegrasikan dengan google app script untuk penyimpanan hasil secara real time. Deteksi kecurangan hanya menggunakan tiga indikator yaitu durasi pengerjaan, status AI, dan deteksi anomali. Hasil pengujian menunjukkan bahwa dari total 39 peserta, sebagian besar pengerjaan soal oleh peserta dalam kategori normal. Untuk kategori low engagement hanya ada 1 peserta. Kategori low engagement menunjukkan keterlibatan peserta rendah dengan durasi waktu pengerjaan sangat tinggi. Sistem ini dapat membantu pendidik dalam monitoring perilaku peserta didik serta meminimalkan potensi kecurangan pada kuis online. Penelitian selanjutnya bisa memvariasikan soal dan gambar, serta menambahkan indikator lebih banyak supaya sistem bisa memonitoring lebih baik lagi.
Algoritma A* Pencocokan Peta untuk Pencarian Tempat Pengelolah Sampah Terdekat Ramanda, Febri; Sidik Praptomo; M. Ari Prayogo
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 2 No. 2 (2024): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v2i2.2510

Abstract

Public waste disposal sites (TPU) are a basic need for the community in managing household waste disposal. In a clean environment, a prerequisite for creating peace of mind, waste management is a problem that makes the environment unclean and beautiful. According to Law No. 18 of 2008, waste management is a systematic, comprehensive and sustainable activity that includes waste reduction and handling. One solution in waste management is a waste bank or public waste disposal site in the city of Muara Bungo which is socialized by the Environmental Service of Bungo Regency regarding environmental problems and city greening programs. TPU services offer services to manage waste and provide waste disposal points, all household waste can be processed properly so that the location of the TPU is known. Determination of a good location point so that consumers feel faster in determining the location of the TP disposal. The data collection method is carried out using the A* algorithm method which is more optimal when compared to Ant Colony, but the map matching method can depict the route into a map. This research is designed to create a shortest route search system with the A* algorithm and map matching, helping people find the shortest route to dispose of household products. The A* algorithm has very easy steps to apply to the system and is fast, from the results of the validation test of the shortest route search for the nearest TPU so that the A* algorithm system can be implemented and become a solution in finding the shortest route.  
PENGEMBANGAN E-MODUL MENGGUNAKAN HEYZINE PADA MATA PELAJARAN INFORMATIKA ELEMEN ANALISIS DATA FASE F KELAS XI SMA NEGERI 13 SAMARINDA Malika Ramadhani, Suci; Rosita, Dewi; Prayogo, M. Ari
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.47915

Abstract

This study addresses the limited availability of Informatics teaching materials aligned with the Phase F Kurikulum Merdeka at SMA Negeri 13 Samarinda, particularly in the Data Analysis element. The research aims to develop an interactive and structured digital e-module based on the Heyzine Flipbook. Using the Research and Development (R&D) method with the 4D model (Define, Design, Develop, Disseminate), the e-module integrates multimedia features such as videos, enrichment content, quizzes, and case studies. The trial involved 36 students of class XI-3. The results show that the e-module is highly feasible, with material expert scores of 71 and media expert scores of 56.67 (both categorized as very feasible), while student trials scored 47 (feasible). The overall average score of 58.22 indicates that the e-module is very feasible and effective as a practical and relevant independent learning medium to enhance Informatics learning in Data Analysis.
Co-Authors Adhari, Vika Aidila Ahmed Jhordy Akhyar, Ramaulvi Muhammad Alimyaningtias, Wahyu Nur Always, Arya Annafi, Naufal Arbain Arbain, Arbain Atin Nuryadin Bagus Dwi Saputra Bintan, Yeva Elisa Yunita Fahrullah, Fahrullah Febri Ramanda Galih Yudha Saputra Haris, Celine Aloyshima Hijrah Sakinah I Wayan Sugianta Nirawana Insan Prayitno, Pramudya Prima Jundillah, Muhammad Labib Lestari, Feni Puji Malika Ramadhani, Suci Muhammad Labib Jundillah Muhammad Shodiq, Muhammad Palapa, Kaleb Gideon Rahmadani, Agung Ramanda, Febri Riendy, Riendy Rifkiansyah, Muhammad Risdin Saputra Robi Kurniawan Romisa, Fahmi Rosita, Dewi Sah, Andrian Saputra, Risdin Sidik Praptomo Subastian, Eko Sudinugraha, Tri Tanniewa, Adam M Tri Sudinugraha Wahyu Nur Alimyaningtias