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All Journal Jurnal Penelitian dan Pengembangan Sains dan Humaniora (JPPSH) Humanistika : Jurnal Keislaman Journal of Applied Data Sciences
Muhammad Islam, Muhammad
Unknown Affiliation
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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TOLERANCE IN PERSEPECTIVE OF QUR’AN AND BIBEL (Comparative Analysis of Religious Tolerance in Diverses Community) Islam, Muhammad
Humanistika : Jurnal Keislaman Vol 3, No 2 (2017): (Juni 2017)
Publisher : Institut Ilmu Keislaman Zainul Hasan Genggong

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

Abstract

AbstractHumans are both indiviudu creatures as well as social beings. As social beings of course human beings are required to be able to interact with other individuals in order to meet their needs. In living a social life in society, an individual will be faced with groups of different colors with him one of which is the difference of religion. In living his social life can not be denied there will be friction-friction that will occur between groups of people, both related to race and religion. In order to maintain unity and unity in society it is necessary to respect each other and respect each other, so that friction-friction that can lead to disputes can be avoided. Communities are also required to keep each others rights and obligations between them from each other.Keywords: Tolerance, Qur’an, Bibel TOLERANCE IN PERSEPECTIVE OF QUR’ANAND BIBEL(Comparative Analysis of Religious Tolerance in Diverses Community)
Program Online Scholarship Competition Sebagai Wujud Partisipasi Penciptaan Generasi Emas Indonesia 2045 Indrati, Imam; Islam, Muhammad; Paramita, Adianti
Jurnal Penelitian dan Pengembangan Sains dan Humaniora Vol 4, No 1 (2020): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.412 KB) | DOI: 10.23887/jppsh.v4i1.24392

Abstract

This study aims to evaluate the OSC Program in terms of the mechanism of obtaining scholarships through the online scholarship competition program, and the obstacles faced when screening scholarship candidates. Field observations and interviews are used to collect data, and PESTEL and SWOT techniques are collaborated to identify the strengths, weaknesses, opportunities, and threats. The results show that this program has legitimacy and is officially supported by the Ministry of Research, Technology and Higher Education. Futhermore, OSC has a very clear, segmented and national target market. For private universities and sponsorships that are incorporated can raise the brand image of PTS and scholarship fund companies.
Efficient Fruit Grading and Selection System Leveraging Computer Vision and Machine Learning Dewi, Deshinta Arrova; Kurniawan, Tri Basuki; Thinakaran, Rajermani; Batumalay, Malathy; Habib, Shabana; Islam, Muhammad
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.443

Abstract

Automated fruit grading is crucial to overcoming the time and accuracy challenges posed by manual methods, which are often limited by subjective human judgment. This study introduces an intelligent grading system leveraging computer vision and AI to improve speed and consistency in assessing fruit quality. Using high-resolution imaging and advanced feature extraction, including grayscale processing, binarization, and enhancement, the system achieves non-destructive, efficient sorting for fruits like apples, bananas, and oranges. Grayscale processing reduces image complexity while preserving essential details, binarization isolates the fruit from its background, and enhancement highlights critical features. Notably, the Edge Pixel method proved most effective, achieving 79.20% accuracy in grading, while the Grayscale Pixel method reached 93.94% accuracy for fruit types. Edge Pixel also achieved 80.32% in differentiating grading types, showcasing its ability to capture essential shapes and edges. Fruits are classified into four grades: Grade_01 (highest quality), Grade_02 (minor imperfections), Grade_03 (notable defects but consumable), and Grade_04 (unfit for consumption). A specialized dataset supports model training, ensuring practical real-world application. The study concludes that this automated system offers significant improvements over traditional grading, providing a scalable, objective, and reliable solution for the agricultural sector, ultimately enhancing productivity and quality assurance.
Program Online Scholarship Competition Sebagai Wujud Partisipasi Penciptaan Generasi Emas Indonesia 2045 Indrati, Imam; Islam, Muhammad; Paramita, Adianti
Jurnal Penelitian dan Pengembangan Sains dan Humaniora Vol. 4 No. 1 (2020): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.412 KB) | DOI: 10.23887/jppsh.v4i1.24392

Abstract

This study aims to evaluate the OSC Program in terms of the mechanism of obtaining scholarships through the online scholarship competition program, and the obstacles faced when screening scholarship candidates. Field observations and interviews are used to collect data, and PESTEL and SWOT techniques are collaborated to identify the strengths, weaknesses, opportunities, and threats. The results show that this program has legitimacy and is officially supported by the Ministry of Research, Technology and Higher Education. Futhermore, OSC has a very clear, segmented and national target market. For private universities and sponsorships that are incorporated can raise the brand image of PTS and scholarship fund companies.
Co-Authors Adianti Paramita, Adianti Batumalay, Malathy Dewi, Deshinta Arrova Habib, Shabana Indrati, Imam Kurniawan, Tri Basuki Thinakaran, Rajermani