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All Journal An Naba Jurnal Pemikiran dan Penelitian Pendidikan Islam Jurnal Teknik Industri Terintegrasi (JUTIN) Brilliance: Research of Artificial Intelligence
Septiana, Widya
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Religion Decision Sciences, Operations Research & Management Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Other

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Pendidikan Karakter Berbasis Nilai-Nilai Budaya Pondok Pesantren Septiana, Widya
An Naba Vol. 5 No. 2 (2022): An Naba : Jurnal Pemikiran dan Penelitian Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Darul Fattah

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

Abstract

Character education in relation to the cultural values ​​that exist in Islamic boarding schools can be said as an effort to implement the behavior of the students towards the surrounding community, as aimed at investing in this in the future in carrying out life relations in the community. Efforts to apply various santri characters can use strategies and methods which will then be grown and developed according to the surrounding culture and adapted to changes in social conditions that occur in society. The method that will be used in this research is by using qualitative methods by using this type of research library research. The results obtained from this study are that students need to be taught about character education in instilling cultural values ​​that exist in Islamic boarding schools in accordance with the norms and habits that exist in society. Examples of values ​​that must be applied are piety, simplicity, honesty, sincerity, cooperation, example, kinship, and independence, as these can be used as provisions in dealing with problems in the current era of development. So that way it will manifest students who have a Muslim personality in accordance with Islamic guidance and are beneficial for all humans. Keywords: Character, Culture, Islamic Boarding School
Analysis of Red Brick Product Quality Improvement at UD. Batu Bata Bulan Using CRISP-DM and C4.5 Algorithm Septiana, Widya; Tsani, Farhan; Utami, Silvia Firda; Andani, Rina Meri
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4208

Abstract

UD Batu Bata Bulan is a home industry in Batu Bulan Village that produces red bricks. The industry has been operating for 20 years and has been producing bricks every day. The home industry is facing problems related to the quality of red bricks that require appropriate action to improve to meet the desired quality. In addition, the home industry is still experiencing difficulties in conducting product quality inspections due to the lack of inspection technology to help the process. The problems faced can be detrimental to UD. Batu Bata Bulan. Therefore, it is necessary to analyze the causes of defective products in the process of producing red bricks and improve the quality of red brick products. Therefore, the researcher conducted an analysis to address the problems that occurred in the company related to product quality. The solution that can be given is to classify the type of defective product using the role of data mining. In this study, the standard Cross Industry Standard Process For Data Mining (CRISP-DM) procedure and C.45 Algorithm were used in data processing.The result of this research indicate significant knowledge in classifying black color defect in data this could facilitate the quality inspection department in making accurate decisions.
Analisis Pengendalian Kualitas untuk Meminimalisir Kecacatan Produk Paving Block Menggunakan Metode Statistical Quality Control (SQC) dan Failure Mode and Effect Analysis (FMEA) Utami, Silvia Firda; Septiana, Widya
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47754

Abstract

CV. Maras Beton is one of the paving block manufacturers in Sumbawa that continues to face challenges in maintaining product quality. A large number of defective paving blocks go unrecorded, indicating weak quality control, which leads to an increasing number of defects and financial losses for the company. This study aims to identify and propose solutions to these product defects using the Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA) methods. Based on a sample drawn from a population of 98, the SQC analysis using five tools identified four main types of defects: cracks, porous surfaces, chipped edges, and breakage, with a monthly increase in defect trends. Although the dominant defect varies each month, cracks are the most frequent, accounting for 26.8% of total defects. FMEA results show the highest RPN values stem from material factors (unmeasured sand moisture), method (manual measuring), and human factors (workers rushing). Recommended improvements include using a moisture meter, standardizing volume measurements, and scheduling product transfers more efficiently.
Analysis of Red Brick Product Quality Improvement at UD. Batu Bata Bulan Using CRISP-DM and C4.5 Algorithm Septiana, Widya; Tsani, Farhan; Utami, Silvia Firda; Andani, Rina Meri
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4208

Abstract

UD Batu Bata Bulan is a home industry in Batu Bulan Village that produces red bricks. The industry has been operating for 20 years and has been producing bricks every day. The home industry is facing problems related to the quality of red bricks that require appropriate action to improve to meet the desired quality. In addition, the home industry is still experiencing difficulties in conducting product quality inspections due to the lack of inspection technology to help the process. The problems faced can be detrimental to UD. Batu Bata Bulan. Therefore, it is necessary to analyze the causes of defective products in the process of producing red bricks and improve the quality of red brick products. Therefore, the researcher conducted an analysis to address the problems that occurred in the company related to product quality. The solution that can be given is to classify the type of defective product using the role of data mining. In this study, the standard Cross Industry Standard Process For Data Mining (CRISP-DM) procedure and C.45 Algorithm were used in data processing.The result of this research indicate significant knowledge in classifying black color defect in data this could facilitate the quality inspection department in making accurate decisions.
Co-Authors Amalia, Mukhlisatinnisa Andani, Rina Meri Ayunda, Aretsa Zana Farid Setiawan, Farid Firda Utami, Silvia H, Arief Rahman Nihayah, Nafi’atun Nusaibah, Afaf Wafiqoh Saputri, Rizka Maulina Tsani, Farhan Urbaningkrum, Santi Mahmuda Widyani, Saesari Salekhah Nur