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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Hermawati, Neni
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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PENERAPAN ANALISIS REGRESI LOGISTIK ORDINAL MULTILEVEL DENGAN BAYESIAN DALAM MEMODELKAN TINGKAT KESEJAHTERAAN DATA P3KE Hermawati, Neni; Susetyo, Budi; Sadik, Kusman
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.918

Abstract

The science of statistics is required to continue to develop following the times, because the more the characteristics of the data available in the field are increasingly diverse. The more types of data, the more statistical analysis methods are developed, including hierarchical structured data. P3KE data is new data complementing DTKS which is the basis for the government in distributing social assistance. P3KE data becomes a reference in determining KPM BLT DD. Wanasari is a village that is accustomed to determining KPM BLT DD based on the results of deliberations at the kedusunan level (Musdus). In Wanasari Village, there is often a problem of inconsistency between the KPM candidates from the Musdus and the P3KE data from BKKBN provided through the Cianjur District government. Therefore, it is necessary to analyze the components that have a significant effect on the Welfare Decile of Wanasari Village P3KE data. The data is considered to be hierarchically structured with ordinal response variables. Therefore, multilevel ordinal logistic regression analysis with Bayesian parameter estimation will be used to obtain the best model. Normal (0.10) and Cauchi (0.2.5) priors were compared to find the best model. The results show that the P3KE data of Wanasari Village is hierarchical data because the results of two-level logistic regression analysis are better than one level. The study also concluded that Bayesian parameter estimation is better when using Cauchy prior (0.2.5) both for β coefficient estimation and inter-departmental diversity estimation. The best model obtained is able to explain the diversity between neighborhoods by 1.07 and has an accuracy of 63.23%. Predictor variables that have a significant effect include civil registration equivalents, having money/jewelry/livestock/etc. saved, wall type, cooking fuel, drinking water source, stunting risk, and number of households.
The PROSES PEMBUATAN CETAKAN PIRING ORGANIK MENGGUNAKAN MESIN BUBUT KONVENSIONAL DAN CNC Hermawati, Neni; Rachmat, Asep
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 5 (2021): STIMA 5.0 Kebangkitan Nasional Digital Era Industri 4.0
Publisher : Universitas Majalengka

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Abstract

Abstract The increasing use of metals in the industrial world, including in terms of technology, plays an important role in easing the task of humans in making or shaping something. For example, metal forming and metalworking techniques range from conventional to non-conventional, such as in the process of making organic plate molds. Practitioner choose placement in the Organic Plate Mold Making Process because they want to know the cutting conditions of the pressing / bottom plate mold and the G-code used in making the cross-section / top plate mold. The plate mold making process uses conventional and CNC lathes. Conventional lathes are used to make top molds whereas CNC is used to make bottom molds. With the mold using a circular ST 37 steel with a thickness of 45 mm and a diameter of 260 mm. Then the undergoes a surface leveling process, then it is followed by a flat turning process, tapering until finishing. Then proceed with the blocking process so that the prints are smoother and more even. Keywords: Organic Plate Mold, Conventional Lathes, CNC.
Co-Authors Asep Rachmat, Asep Budi Susetyo Kusman Sadik