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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Basicedu Jurnal Informasi dan Komputer Edumaspul: Jurnal Pendidikan Indonesian Journal of Instructional Media and Model Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Journal La Lifesci Jurnal Nasional Pengabdian Masyarakat Journal of Research in Instructional Jurnal Basicedu Alif : Sharia Economics Journal Innovative: Journal Of Social Science Research Filogeni: Jurnal Mahasiswa Biologi Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science)
Nurmayanti, Nurmayanti
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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PENGEMBANGAN MODEL FLIPPED BLENDED LEARNING (MFBL) BERBASIS LEARNING MANAGEMENT SYSTEM POST PANDEMI COVID-19 NOER EKAFITRI SAM; NURMAYANTI, NURMAYANTI; BASRI, BASRI; LINDA, LINDA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 8 No 1 (2023): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v8i1.37095

Abstract

Tujuan penelitian mengembangkan MFBL Berbasis LMS valid. Metode penelitian R&D Model 4D yaitu: (1) Define, observasi awal dan analisis kebutuhan; (2) Design LMS, manual book LMS, dan RPP; (3) Development; (a) validasi expert yang melibatkan 2 expert; (b) uji coba kelompok kecil 5 subjek uji; (4) Disseminate MFBL berbasis LMS di SMK YPPP Wonomulyo, menghasilkan: (1) Pengembangan MFBL model 4D; (2) Hasil rekapitulasi validasi expert perangkat pembelajaran 7 aspek berkategori cukup valid digunakan pada implementasi; (3) Hasil rekapitulasi uji coba small group aspek media dan perangkat pembelajaran berada pada kriteria sangat baik;. Berdasarkan data MFBL berbasis LMS valid berdasarkan expert judgement dan subjek uji coba untuk meningkatkan motivasi dan kompetensi siswa.
PEMANFAATAN SOFTWARE SIMULATOR BERBASIS ANDROID PADA PEMBELAJARAN TATAP MUKA TERBATAS ERA NEW NORMAL NURMAYANTI, NURMAYANTI; NOER EKAFITRI SAM; KHAERANI, KHAERANI; NURUL ZAHRATUL FAIQAH; NUR ATIFAH TAMRIN
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 8 No 1 (2023): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

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

Abstract

Pembelajaran tatap muka terbatas di SMK sebagai dampak belajar dari rumah mengubah kebiasaan belajar peserta didik menjadi belajar dengan memanfaatkan smartphone. Penyelesaian materi Pemrograman Dasar membutuhkan software simulasi untuk menulis, memeriksa dan menjalankan program, yang mana tentunya lebih praktis jika berbasis android. Penelitian ini bertujuan untuk mengetahui implementasi pemanfaatan software simulator Pascal N-IDE berbasis android pada pembelajaran tatap muka terbatas era new normal pada peserta didik Kompetensi Keahlian TKJ, UPT SMK Negeri 5 Sidrap. Hasil penelitian menyatakan praktikum Pemrograman Dasar terlaksana dengan baik berdasarkan hasil observasi kegiatan belajar menggunakan simulator berbasis android. Peserta didik lebih aktif dalam menyelesaikan project dengan tepat waktu dan benar. Hal ini berimplikasi pada pengalaman pembelajaran yang lebih baik menggunakan simulator Pascal N-IDE berbasis android.
APPLICATION OF DATA MINING FOR CLUSTERING THE USE OF TRACTOR VEHICLE SPAREPART UNITS USING THE K-MEANS ALGORITHM Satriawan, Anggi Dwi; Rustam, Rustam; Nurmayanti, Nurmayanti; Mintoro, Sigit; Supriyanto, Supriyanto; Efendi, Dwi Marisa
IJISCS (International Journal of Information System and Computer Science) Vol 9, No 1 (2025): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v9i1.1738

Abstract

Inefficient management of tractor spare parts inventory can lead to high storage costs and operational downtime. This issue demands effective calculations to group spare parts based on usage patterns and procurement time. This research aims to apply data mining techniques to cluster tractor spare parts usage using the k-means algorithm to optimize inventory management. The methodology used involves data on spare parts usage over two years, which is then processed using the k-means algorithm to form several clusters based on usage frequency and lead time. This algorithm groups spare parts into clusters that minimize within-cluster variance and maximize between-cluster variance. The formed clusters are interpreted to determine the level of importance of the spare parts and their implications for inventory management strategies. The expected result is the identification of five main clusters grouping spare parts based on usage patterns with very high, medium, and low usage, as well as different lead time variations. These findings are expected to provide important insights for developing more efficient stock management strategies, reducing inventory costs, and increasing the availability of spare parts that match the operational needs of tractors, thus supporting overall efficiency in spare parts usage
Optimalisasi Proses Produksi Dan Pemasaran Digital Pada Industri Kerupuk Kulit Sapi Di Kabupaten Banyuasin Antoni, Darius; Maryani, Maryani; Nurmayanti, Nurmayanti; Suhartini, Suhartini; Harahap, Zakaria; Kurniawan, Kurniawan
Jurnal Nasional Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Nasional Pengandian Masyarakat
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jnpm.v6i1.2788

Abstract

The cowhide cracker industry in Banyuasin Regency represents a micro, small, and medium enterprise (MSME) sector with considerable local economic potential. However, it continues to face a range of challenges, including low production efficiency, limited access to appropriate tools and skilled labour, and suboptimal utilisation of digital media for marketing purposes. This community engagement initiative aims to enhance the production capacity and digital marketing capabilities of local business partners, as part of implementing the Higher Education Tri Dharma, particularly in the area of community service. The approach adopted involved participatory problem identification, training in hygienic and efficient production techniques, assistance in the use of simple production tools, and digital marketing workshops focusing on the effective use of social media and marketplace platforms. The initiative also included efforts to strengthen product branding through the development of attractive packaging and logo designs tailored to consumer preferences. The outcomes of the programme indicate a significant improvement in participants’ understanding of production management and digital marketing strategies. Business partners demonstrated increased independence by actively managing online marketing accounts and adopting improved packaging designs. These results reflect the tangible benefits of the initiative in supporting MSME transformation towards greater competitiveness and resilience in the digital era. Consequently, this activity not only contributed to improving product quality and marketability but also fostered local economic self-reliance through technology-based innovation and the promotion of local creative potential
The Effectiveness of Using Microsoft Sway Application on Improving Social Studies Learning Outcomes of Seventh-Grade Students at SMPN 5 Panca Rijang Kahar, Fitriya; Usman M, Usman M; Ferdiansyah, Handy; Nurmayanti, Nurmayanti
Edumaspul: Jurnal Pendidikan Vol 9 No 2 (2025): Edumaspul: Jurnal Pendidikan (In Press)
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.8957

Abstract

This study aims to determine the effectiveness of using the Microsoft Sway application in improving the learning outcomes of seventh-grade students in Social Studies (IPS) at UPT SMPN 5 Panca Rijang. The background of this research is the low achievement in Social Studies learning, caused by a lack of student interest and minimal use of varied learning media. This research employed a quantitative approach with a quasi-experimental method using a one-group pretest-posttest design. The sample consisted of all 35 seventh-grade students. Data were collected through documentation and objective tests in the form of multiple-choice questions. The results showed that the average pretest score of 49.42 increased to 81.14 in the posttest. The N-Gain analysis showed a score of 66.47%, categorized as “moderately effective.” Based on these findings, it can be concluded that the use of Microsoft Sway is effective in enhancing students’ Social Studies learning outcomes. This study recommends integrating Microsoft Sway into classroom instruction as an alternative technology-based interactive learning medium.
The Effectiveness of Using LibreOffice Impress on Improving Arts and Culture Learning Outcomes of Grade XI Students at SMAN 4 Sidrap Anugrah, Cahya Dwi; Madaling, Madaling; Takdir, Muhammad; Nurmayanti, Nurmayanti
Edumaspul: Jurnal Pendidikan Vol 9 No 2 (2025): Edumaspul: Jurnal Pendidikan (In Press)
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v9i2.9068

Abstract

This study employed a quantitative method with an experimental research design aimed at determining the effectiveness of using LibreOffice Impress media in improving the Arts and Culture learning outcomes of Grade XI students at SMAN 4 Sidrap. The population of this research consisted of all 75 students of Grade XI at SMAN 4 Sidrap, with a sample of 17 students. The data collection techniques used were documentation, tests, and questionnaires. After collecting the data, the researcher analyzed the results and found that all effectiveness indicators of a strategy had been met, showing that the use of LibreOffice Impress media had a positive effect on improving student learning outcomes in Arts and Culture subjects for Grade XI students at SMAN 4 Sidrap. The findings of the study revealed that the use of LibreOffice Impress was effective in improving students’ learning outcomes. This was proven through the results of the paired sample t-test between the pretest and posttest data, which indicated significant differences in students’ learning outcomes. The average posttest score (Mx = 90) was higher than the average pretest score (My = 45). Therefore, it can be concluded that the use of LibreOffice Impress is effective in improving the Arts and Culture learning outcomes of Grade XI students at SMAN 4 Sidrap
APPLICATION OF DATA MINING IN PREDICTING THE AMOUNT OF RESTAURANT TAX REVENUE USING C4.5 Afriza, Roby; Nurmayanti, Nurmayanti; Parida, Merri; Rahmatullah, Sidik
Jurnal TAM (Technology Acceptance Model) Vol 14, No 2 (2023): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v14i2.1505

Abstract

Regional taxes are one of the important sources of regional income to finance the implementation of regional government in the context of serving the community and realizing regional independence. Restaurant tax is one of the regional taxes collected by the Way Kanan Regency Regional Revenue Agency and one of the determinants of the increase in Way Kanan District Original Revenue (PAD). Adapum This research raises the problem of not achieving the Restaurant Tax target in 2023. In this study using Data Mining there are various methods in data mining including the C4.5 algorithm. The C4.5 approach can forecast an increase in restaurant taxes, and the computation of the C4.5 algorithm yields the following results. From the results of calculating the 2018-2022 data above using Microsoft Excel, it is known that Class Recommendations totaling 185 are classified as Yes and No, 0 are classified as Yes but No, Next Class No totaling 65 is classified as No, and 0 Yes is classified as No, with a total data of 250. Microsoft Excel and Google Colab programs have been used to implement the C4.5 algorithm. Implementation of the C4.5 Algorithm has been carried out using Microsoft Excel and Googlel Colab applications. The result is that the description of all formulas and predictive results is simpler than the results of manual calculations through Microsoft excel using the C4.5 Algorithm which has an accuracy of 75%, and then proven by Google Colab with results of 100% accuracy.
Co-Authors Abdul Mahsyar Afriza, Roby Alimuddin Said, Alimuddin Angareani, Reni Antoni, Darius Anugrah, Cahya Dwi Ashira, Nurul Asri, Kholifatul Husna Basri Basri Cut Muthiadin Damayanti, Ana Muliana Sri Efendi, Dwi Marisa Eni, Nur Erlangga Erlangga Ferdiansyah, Handy Harahap, Zakaria Hardianti Hardianti, Hardianti Kahar, Fitriya kaharudin, la ode Khaerani, Khaerani Kumala, Nur Hakiki Dewi Kurniawan Kurniawan Linda Linda M, Usman Madaling, Madaling Mariana Mariana Marsyanda, Marsyanda Maryani Maryani Mawarni, Rima Mintoro, Sigit Muhammad Takdir, Muhammad Mutmainnah Mutmainnah Nabilah Said, Andi Nafiisah Noer Ekafitri Sam NUR ATIFAH TAMRIN NURUL ZAHRATUL FAIQAH Parida, Merri Permatasari, Artha Rezki Rahmatullah, Sidik Ramdhani, Nina Krisna Riswanto, Pakarti Rustam Rustam Sam Hermansyah Sandi Lubis Sartika Sartika Satriawan, Anggi Dwi Sijid, St. Aisyah Suhartini Suhartini Sundari Sundari Supriyanto Supriyanto Suryadi, Lusi Syafutri Hidayat, Nur Syamsunir, Syamsunir Tahir, M. Hijaz Tang, Nurhidayah Usman M, Usman M Wiranti, Bela amlia Amalia Wunasari, Aisha Yanto, Riadi Yusrianti, Yusrianti Zulkifli N