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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Journal Zetroem Brilliance: Research of Artificial Intelligence Jurnal Manajemen Perbankan Keuangan Nitro Journal of Natural Science and Technology Adpertisi: Bidang Sains dan Teknologi Journal of Technology Research in Information System and Engineering Journal of Training and Community Service Adpertisi Journal of Information Technology and its Utilization International Conference on Social Science
Resha, Muhammad
Universitas Teknologi Akba Makassar
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Other

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Deep Learning on Curriculum Study Pattern by Selective Cross Join in Advising Students’ Study Path Tekad Matulatan; Muhammad Resha
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.495 KB) | DOI: 10.11591/eecsi.v4.1050

Abstract

Advising engineering students in their study path need to understand the curriculum structure, student capabilities and challenge that commonly appear in courses. This paper offered the simple method to help student advisor in analyzing student performance in their study path based on academic progress record of the student it-self and pattern that been built from other students that have taken the courses. Using selective cross join for each  possible permutation of pair courses with respect to courses’ grade to create knowledge base. This knowledge base will be used to construct complex tree of any possible study path that might be taken by student to reach the end of study including course that must be retaken. Finding the best suggestion for study path using Monte Carlo tree search style
Analisis dan Perancangan Aplikasi Penelusuran Alumni Berbasis Web Pada STIM Nitro Makassar Muhammad Resha
Jurnal Manajemen Perbankan Keuangan Nitro Vol. 1 No. 1 (2018): Januari 2018
Publisher : LP2M IBK Nitro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1474.774 KB)

Abstract

Indikator penting keberhasilan Perguruan Tinggi adalah alumni yang berkualitas dan diterima di dunia kerja. Hal ini dapat dibuktikan dengan kinerja Alumni di tempat kerja, lama bekerja, keahlian yang dimiliki, kesesuaian ilmu yang didapatkan di Perguruan Tinggi dengan kebutuhan dunia kerja. Tujuan pada penelitian ini adalah membangun sistem informasi tracer study di Sekolah Tinggi Ilmu Manajemen Nitro Makassar yang dibangun untuk penelusuran Alumni. Metode pengumpulan data yang digunakan yaitu observasi, wawancara, dan dokumentasi. Metode pengembangan sistem menggunakan metode SDLC. Tujuan dari penelitian ini adalah untuk memberikan informasi profil alumni dan umpan balik terhadap perguruan tinggi dalam menyiapkan lulusan berkualitas.
Prediksi Penyebaran Kasus Tuberkulosis dengan metode Artificial Neural Network dan Multi-Layer Perceptron di kota makassar Muhammad Resha; Suryadi Syamsu; Andryanto; Bakry
JNSTA ADPERTISI JOURNAL Vol. 2 No. 1 (2022): Januari 2022
Publisher : JNSTA ADPERTISI JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.347 KB)

Abstract

Tuberculosis di wilayah Kota Makassar merupakan salah satu kasus tertinggi pada tahun 2019. Penelitian ini bertujuan untuk memprediksi penyebaran kasus tuberculosis dengan menggunakan metode Artificial Neural Network (ANN) dan Multi-Layer Perceptron (MLP). Methods: Desain penelitian menggunakan metode Artificial Neural Network (ANN) dan Multi-Layer Perceptron (MLP). Populasi penelitian ini sebagai kasus adalah pasien TB dengan variable terikat adalah pasien TB di kota Makassar. Sampel pada penelitian ini berjumlah 5148 responden, data training yang digunakan 75% dari data dan 25% untuk data testing. Results: Hasil penelitian didapatkan bahwa ANN adalah model terbaik untuk memprediksi penyabaran kasus TB di Kota Makassar dengan tingkat akurasi yang diperoleh 97.59% dibandingkan dengan model MLP dengan tingkat akurasi yang diperoleh 77.62%. Conclusion: Model ANN memperoleh hasil bahwa penyebaran kasus TB dipengaruhi oleh jumlah penduduk dan luas suatu daerah, sehingga perlu tindakan kusus untuk daerah yang memiliki jumlah penduduk tertinggi di kota Makassar untuk mencegah peningkatan jumlah kasus TB di kota Makassar
Implementation of Random Shuffle Algorithm to Randomize Questions in Anti-Corruption Prevention Game Askar; Pasnur; Asrul; Amran Amiruddin; Muhammad Resha; Andri Wijaya T
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.v3i2.3126

Abstract

Socializing anti-corruption education in Indonesia is crucial to fostering public aversion towards corruption. Games are a highly effective medium for disseminating anti-corruption prevention during school years. This research aims to implement anti-corruption education within a game using the shuffle random algorithm to ensure the successful randomization of anti-corruption questions. This data was obtained through a literature review. The method used in this study is the Multimedia Development Life Cycle (MDLC). The results of this research indicate that the testing yielded a 100% accuracy rate for the shuffle random algorithm in randomizing the questions. The accuracy rate demonstrates that the shuffle random algorithm can effectively randomize the questions and is easy to implement.
Pemanfaatan Aplikasi Geogebra Dalam Menentukan Fungsi Permintaan, Fungsi Penawaran Dan Keseimbangan Pasar Bakry, Bakry; Resha, Muhammad
JNSTA ADPERTISI JOURNAL Vol. 2 No. 2 (2022): Juli 2022
Publisher : Aliansi Dosen Perguruan Tinggi Swasta Indonesia (Adpertisi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62728/jnsta.v2i2.338

Abstract

GeoGebra merupakan media pembelajaran matematika untuk mendemonstrasikan atau memvisualisasikan konsep-konsep matematis serta sebagai alat bantu untuk mengkonstruksi konsep- konsep matematis seperti aplikasi pada fungsi permintaan, penawaran dan model keseimbangan pasar. Keseimbangan pasar yang dimaksud adalah pertemuan antara penjual (produsen) dan pembeli (konsumen) baik secara langsung maupun tidak langsung. Pasar dikatakan seimbang (market equilibrium) apabila: Jumlah barang yang diminta di pasar tersebut sama dengan jumlah barang yang ditawarkan. Harga barang yang ditawarkan oleh penjual (produsen) sama dengan harga yang diminta oleh pembeli (konsumen).
Perancangan Sistem Informasi Pelayanan Organisasi Kemahasiswaan Universitas Teknologi Akba Makassar (Unitama) Berbasis Web Maulidinnawati, Andi; Syamsu, Suryadi; Tamrin, Fadli; Arafah, Muhammad; Yusuf , Andi M; Maslihatin, Tatik; Sumardin, Andi; Pasnur, Pasnur; Resha, Muhammad; Fauziah Suhardi , Rifdah Tami
JNSTA ADPERTISI JOURNAL Vol. 2 No. 2 (2022): Juli 2022
Publisher : Aliansi Dosen Perguruan Tinggi Swasta Indonesia (Adpertisi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62728/jnsta.v2i2.340

Abstract

The campus has an organization to develop the potential of its students according to the student division therefore This study aims to create a web-based service information system for student organizations in order to facilitate the service and implementation of procedures for submitting proposals and activity reports. The data were obtained through observations, Correspondence documents, direct interviews with the campus and organizational management. This system is built using visual studio code and mysql as a database storage service. The system development method in this research uses the waterfall method with the stages, namely analysis, design, coding, testing and implementation (maintenance programs). The results of this study indicate that the student organization service information system can run well. Based on the results of testing using blackbox testing techniques obtained 81% results from respondents, so it is said to be suitable for use based on the tests carried out.
Pemanfaatan Aplikasi e-Commerce dan Media Sosial sebagai Penunjang Pemasaran Produk UMKM di masa pandemi covid-19 Muhammad Resha
JOURNAL OF TRAINING AND COMMUNITY SERVICE ADPERTISI (JTCSA) Vol. 2 No. 2 (2022): Juli 2022
Publisher : ADPERTISI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.423 KB)

Abstract

The current Covid-19 pandemic is still endemic throughout the world and has an impact on all sectors including the economy. MSME actors in Indonesia are among the most affected, namely the slowdown in the economic sector which makes Micro, Small and Medium Enterprises (MSMEs) experience a significant setback. In accordance with the analysis and discussion, it can be concluded that Micro, Small and Medium Enterprises (SMEs) in the village of Taeng, Gowa Regency, after the counseling and assistance have had enthusiasm and hope during this pandemic. Residents become more aware of the benefits of e-Commerce and Social Media Applications as Supporting MSME Product Marketing in Taeng Village, Gowa Regency. From the results of discussions with participants, the advice given to MSME participants in utilizing social media and e-commerce is to register their MSMEs to the facility. After that, they started to promote their products and continued to consistently take advantage of existing facilities
Sistem Informasi Bimbingan Online Menggunakan Fitur Logbook Konsultasi Muhajirin, Muhajirin; Rika, Rika; Arafah, Muhammad; M. Sabir, Fitriana; Pasnur, Pasnur; Maslihatin, Tatik; Ilham, Ilham; Resha, Muhammad
JTRISTE Vol 11 No 2 (2024): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v11i2.554

Abstract

The Final Project guidance process often faces obstacles such as inflexible schedules, limited space and time, and difficulties in communication between supervisors and students directly. This study aims to implement a web-based Final Project guidance system using the Laravel framework designed using the Waterfall method and the PHP programming language and MySQL as a database. Data in this study were obtained through observation, literature studies and interviews. Testing in this study was carried out using the Black Box method and User Acceptance Testing (UAT). The results showed that this application was feasible for use by students and lecturers with an average test score on the Usability aspect of 86.68%, on the Information Quality aspect of 84.88%, and on the Service Interaction Quality aspect of 83.86%. Based on the feasibility category interval of 81% - 100%, this system was declared very feasible for use, in addition this system was able to overcome traditional obstacles in the Final Project guidance process.
Implementation of Random Shuffle Algorithm to Randomize Questions in Anti-Corruption Prevention Game Askar; Pasnur; Asrul; Amiruddin, Amran; Resha, Muhammad; Wijaya T, Andri
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.v3i2.3126

Abstract

Socializing anti-corruption education in Indonesia is crucial to fostering public aversion towards corruption. Games are a highly effective medium for disseminating anti-corruption prevention during school years. This research aims to implement anti-corruption education within a game using the shuffle random algorithm to ensure the successful randomization of anti-corruption questions. This data was obtained through a literature review. The method used in this study is the Multimedia Development Life Cycle (MDLC). The results of this research indicate that the testing yielded a 100% accuracy rate for the shuffle random algorithm in randomizing the questions. The accuracy rate demonstrates that the shuffle random algorithm can effectively randomize the questions and is easy to implement.
RABIN-CARP IMPLEMENTATION IN MEASURING SIMALIRITY OF RESEARCH PROPOSAL OF STUDENTS Herman Herman; Lukman Syafie; Tasmil Tasmil; Muhammad Resha
Journal of Information Technology and Its Utilization Vol 3 No 1 (2020)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.3210

Abstract

Plagiarism is the use of data, language and writing without including the original author or source. The place where palgiate practice occurs most often is the academic environment. In the academic world, the most frequently plagiarized thing is scientific work, for example thesis. To minimize the practice of plagiarism, it is not enough to just remind students. Therefore we need a system or application that can help in measuring the level of similarity of student thesis proposals in order to minimize plagiarism practice. In computer science, the Rabin-Karp algorithm can be used in measuring the level of similarity of texts. The Rabin-Karp algorithm is a string matching algorithm that uses a hash function as a comparison between the search string (m) and substrings in text (n). The Rabin-Karp algorithm is a string search algorithm that can work for large data sizes. The test results show that the use of values on k-gram has an effect on the results of the measurement of similarity levels. In addition, it was also found that the use of the value 5 on k-gram was faster in executing than the values 4 and 6.
Co-Authors Amiruddin, Amran Amran Amiruddin Andi Sumardin, Andi Andri Wijaya T Andryanto A Askar Askar Askar Askar Asnimar Asnimar Asrul Asrul Asrul Asrul Bakry Bakry Bakry, Bakry Fadli Tamrin Fauziah Suhardi , Rifdah Tami Febri Hidayat Saputra Herman Herman Ilham Ilham Lilis Sugianti Lukman Syafie M. Sabir, Fitriana Markani, Markani Mashud Mashud Maslihatin, Tatik Matulatan, Tekad Maulidinnawati, Andi Muhajirin, Muhajirin Muhammad Arafah Neneng Awaliah Pasnur Pasnur Pasnur Pasnur Rika, Rika Suryadi Syamsu Suryadi Syamsu, Suryadi Tasmil Tasmil Wijaya T, Andri Yusuf , Andi M