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All Journal JIK Jurnal Ilmu Komputer Jurnal Ilmiah Teknik Industri Advances In Social Humanities Research
Tanika D. Sofianti
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Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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RELOCATION OF HOME APPLIANCES FACTORY BY USING SYSTEMATICAL LAYOUT PLANNING (SLP) COMBINED WITH FLOW ANALYSIS AND ASSEMBLY PROCESS DESIGN Baskoro, Yosef Adji; Tanaya, Prianggada Indra; Sofianti, Tanika D.
Jurnal Ilmiah Teknik Industri Vol. 10, No. 2, Desember 2011
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

Every manufacturing company must have experiencing building a layout. Fred.E Meyers has stated that only death and taxes are certain, there exist a third certainty-a plant layout will change, thus many methods to generate layout are established and each has its own purposes and benefits. This research focused on the design of manufacturing facilities supported by in-depth analysis of Assembly process design with a high stresses on the Systematical Layout Planning ( SLP) and Flow Analysis method to facilitate an outcome of layout accordingly to the system needs. This is a real case study conducts with an objective of generating a recommendation layout for Home Appliances Company specifically for television plant
RELOCATION OF HOME APPLIANCES FACTORY BY USING SYSTEMATICAL LAYOUT PLANNING (SLP) COMBINED WITH FLOW ANALYSIS AND ASSEMBLY PROCESS DESIGN Baskoro, Yosef Adji; Tanaya, Prianggada Indra; Sofianti, Tanika D.
Jurnal Ilmiah Teknik Industri Vol. 10, No. 2, Desember 2011
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v10i2.1257

Abstract

Every manufacturing company must have experiencing building a layout. Fred.E Meyers has stated that only death and taxes are certain, there exist a third certainty-a plant layout will change, thus many methods to generate layout are established and each has its own purposes and benefits. This research focused on the design of manufacturing facilities supported by in-depth analysis of Assembly process design with a high stresses on the Systematical Layout Planning ( SLP) and Flow Analysis method to facilitate an outcome of layout accordingly to the system needs. This is a real case study conducts with an objective of generating a recommendation layout for Home Appliances Company specifically for television plant
Pemanfaatan Open Source Cms Untuk Kegiatan Knowledge Management Di Perguruan Tinggi Sofianti, Tanika D.; Sukardi, Chandrasa
JIK: Jurnal Ilmu Komputer Vol 5, No 2 (2007)
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/komp.v5i2.439

Abstract

Perguruan Tinggi adalah organisasi yang menyelenggarakan pendidikan tinggi. Aset penting dari Perguruan Tinggi di antaranya adalah  aset intelektual yang berupa penge-tahuan dan ilmu pengetahuan para dosen dan mahasiswa. Agar lebih banyak orang dapat menggunakan dan memanfaatkan pengetahuan dan kumpulan pengetahuan, pengetahuan perlu disimpan, disebarluaskan, diaplikasikan, dimanfaatkan dan digunakan untuk kesejahteraan manusia melalui organisasi atau perusahaan. Pengelolaan semua itu disebut Knowledge Management (Indrajit, 2006). Di dalam satu perguruan tinggi, ada beberapa jurusan dan program studi. Inisiatif untuk mulai melakukan Knowledge Management terkadang datang dari jurusan atau program studi, juga perlu dilakukan dulu suatu bentuk Knowledge Management dalam bentuk yang lebih kecil misalnya di tingkat jurusan atau dalam bentuk kelompok penelitian antar disiplin ilmu. Pada  tingkat ini,  dukungan finansial dari tingkat universitas belum tentu ada. Sehingga untuk membangun suatu sistem Knowledge Management yang berbasis web site sebagai penampungan informasi yang dapat diakses melalui internet, maka dipilih menggunakan program pembangun web yang murah dan pembelajaran untuk menggunakannya juga murah dan mudah, mengingat yang membangun web ini belum tentu seorang yang berpengalaman membangun web. Maka dalam tulisan ini,akan dibahas suatu hasil percobaan untuk membangun suatu web site dengan program Joomla, dimana program ini adalah open source dan cara pembelajarannya juga dapat dilakukan secara mandiri dengan metode e-learning.Kata Kunci: CMS, Knowledge Management, Perguruan Tinggi
Machine Learning-Based Forecasting Of Incoming Customer Orders: A Case Study On Heavy-Duty Filter Products Taryono, Taryono; Sofianti, Tanika D.; Budiarto, Eka
Advances In Social Humanities Research Vol. 3 No. 11 (2025): Advances In Social Humanities Research
Publisher : Sahabat Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/adv.v3i11.506

Abstract

Accurate demand forecasting plays a critical role in inventory management and production planning, particularly in the manufacturing of heavy-duty filter products, where customer order patterns are influenced by seasonal and external factors. This study proposes a machine learning–based forecasting framework to predict incoming customer orders using structured sales data. The analysis focuses on the 2021–2025 period, during which demand behavior was observed to be more stable compared to previous years. The study evaluates the effects of feature engineering and feature selection on forecast accuracy, with special attention to time-based, seasonal, and external economic variables. Random Forest, LightGBM, and Linear Regression models were developed and their performance was assessed using metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), MAPE, and R2 score. Experimental results show that the inclusion of seasonal and exogenous features significantly enhances model performance, particularly for item types with pronounced cyclical trends. Furthermore, the study conducts hypothesis testing to assess the statistical impact of engineered features and model types on forecast accuracy. The findings demonstrate the applicability of machine learning in industrial forecasting scenarios, offering a replicable and scalable approach to data-driven decision making in procurement and inventory planning.
Co-Authors Chandrasa Sukardi Prianggada Indra Tanaya Taryono, Taryono Yosef Adji Baskoro, Yosef Adji