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Journal : Journal Industrial Servicess

Regresi logistik untuk data respon polytomous Faula Arina
Journal Industrial Servicess Vol 5, No 1 (2019): Oktober 2019
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v5i1.6502

Abstract

Regresi Logistik untuk data respon polytomous digunakan untuk menentukan hubungan antara peubah respon bersifat lebih dari dua kategori dengan satu atau lebih peubah prediktor kontiny u maupun kategorik. Regresi Logistik untuk data respon polytomous adalah regresi logistik multinomial yang terdiri dari regresi logistik nominal dan ordinal. Pendugaan parameter model regresi logistik nominal dan ordinal dilakukan dengan metode Maximum Likelihood Estimation (MLE). Indikator pemilihan model terbaik untuk fungsi MLE adalah Akaike Information Criteria (AIC). Berdasarkan analisa data , dapat dibuktikan bahwa peubah respon berskala ordinal selain dianalisis menggunakan regresi logistik ordinal dapat pula dianalisis menggunakan regresi logistik nominal. Hasil pemilihan model regresi ordinal dan nomi n al terbaik pada kasus hubungan kepuasan konsumen dalam merasakan masakan dengan tambahan keju dari empat merk berdasarkan AIC menghasilkan regresi logistik ordinal sebagai model terbaik .
REGRESI ROBUST UNTUK MENGATASI DATA PENCILAN Faula Arina
Journal Industrial Servicess Vol 3, No 1b (2017): Oktober 2017
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v3i1b.2082

Abstract

Analisis regresi merupakan metode analisis dalam statistika yang paling banyak diaplikasikan di berbagai bidang baik ekonomi maupun sosial. Metode Kuadrat Terkecil (MKT) merupakan metode yang sering digunakan untuk mengestimasi parameter model regresi. Pencilan adalah data yang tidak mengikuti sebagian besar pola dan terletak jauh dari pusat data. Jika terdapat pencilan, MKT tidak akurat untuk mengestimasi parameter. Untuk mengatasi masalah ini, salah satu metode yang digunakan adalah metode regresi robust. Least Trimmed Square (LTS) merupakan salah satu estimator regresi robust terhadap pencilan. Tujuan dari penelitian ini adalah membandingkan tingkat efektifitas metode LTS dan MKT pada data yang mengandung pencilan berdasarkan nilai Standard Error (SE) . Hasil penelitian menunjukkan bahwa metode LTS lebih baik dalam mengestimasi parameter pada data yang mengandung pencilan. 
Peningkatan kualitas pelayanan kesehatan menggunakan metode Servqual dan Lean healthcare Maria Ulfah; Dyah Lintang Trenggonowati; Faula Arina; Putro Ferro Ferdinant; Atia Sonda
Journal Industrial Servicess Vol 8, No 1 (2022): June 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i1.14443

Abstract

RSIA Permata Serdang merupakan salah satu rumah sakit tipe C yang mengalami penurunan kunjungan pasien dan menerima banyak keluhan. Tujuan penelitian ini untuk menentukan faktor dominan dan tipe waste yang menjadi sumber ketidakpuasan pasien serta menentukan perbaikan dari waste kritis yang terjadi terhadap pelayanan rawat jalan RSIA. Penelitian ini menggunakan kerangka Six Sigma yaitu DMAIC (Define, Measure, Analyze, Improvement, Control). Tahapan penelitian dilakukan dengan menghitung nilai gap setiap atribut kepuasan pelanggan, menganalisis akar penyebab ketidakpuasan dan memberikan rekomendasi perbaikan lean healthcare untuk mereduksi pemborosan pada sistem pelayanan. Berdasarkan metode tersebut diperoleh waste kritis yaitu waiting, unnecessary inventory dan overproduction. Pengurangan dan eliminasi waste yang telah terindikasi dilakukan menggunakan Root Cause Analysis (RCA). Setelah itu, disusun action planning dari penyebab terjadinya waste tersebut dengan menggunakan Failure Mode And Effect Analysis (FMEA). Usulan perbaikan yaitu membuat loket khusus atau membuat loket tambahan untuk pasien yang menggunakan asuransi kesehatan serta perekrutan petugas pendaftran rawat jalan, mengalokasikan sumber daya dengan mencocokkan kapasitas yang tersedia, meninjau ulang jadwal praktek dokter, memaksimalkan penggunaan database pasien secara elektronik dan menerapkan visual management (kode warna) pada tiap rak penyimpanan rekam medis, membuat display tata letak ruangan serta membuat display penunjuk ruangan sehingga dapat meningkatkan kualitas sistem pelayanan.
Analisa survival untuk mengurangi customer churn pada perusahaan telekomunikasi Faula Arina; Maria Ulfah
Journal Industrial Servicess Vol 8, No 1 (2022): June 2022
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v8i1.14313

Abstract

Banyak perusahaan telekomunikasi di Indonesia membuat pelanggan yang telah berlangganan melakukan churn. Churn adalah pindahnya pelanggan dari satu provider ke provider lainnya. Perusahaan lebih memutuskan mempertahankan pelanggan, karena dibutuhkan biaya lebih sedikit daripada mencari pelanggan baru. Untuk mengurangi churn, maka penelitian ini akan memodelkan waktu survival. Metode yang digunakan adalah analisis survival dengan model regresi Cox. Hasil analisis survival diperoleh faktor faktor yang cenderung mempengaruhi pelanggan telekomunikasi bertahan di satu provider adalah status pernikahan, lama tinggal di alamat sekarang, dan pengalaman bekerja. Dari 1000 pelanggan telekomunikasi status menikah 49,5% sisanya tidak menikah. Pelanggan telekomunikasi status menikah memiliki resiko churn 0,6409 kali lebih kecil dari pada pelanggan komunikasi yang tidak menikah. Lama tinggal di alamat sekarang berpengaruh sebesar 0,9405 dan pengalaman kerja berpengaruh sebesar 0,9195 terhadap laju ketahanan hidup pelanggan telekomunikasi.
The influence of leadership style and organizational culture on the performance of employees through work discipline in electrical industry Sirajuddin, Sirajuddin; Arina, Faula; Ferdika, Rezky
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21878

Abstract

Planned and sustainable human resource development is important for every organization or company. Several factors that influence employee performance include leadership style, organizational culture, and work discipline. This research aims to determine the influence of leadership style and organizational culture on employee performance through work discipline in the electrical industry. The research method used is quantitative research, and quantitative data was collected through a questionnaire survey to analyze the relationship between latent variables. This research involved 133 samples of organic employees from one of the electricity companies in Indonesia. The data analysis technique uses SEM PLS with Smart-PLS. The research results show that the application of leadership style and organizational culture in the electricity industry has a positive and significant effect on work discipline and employee performance. Likewise, work discipline also has a positive and significant effect on employee performance. Furthermore, leadership style and organizational culture have a positive and significant effect on employee performance through work discipline as an intervening variable. So, it can be concluded that the application of leadership style and organizational culture through work discipline has a positive and significant effect on employee performance in the electrical industry.
Identification and strategy for the risk mitigation of supply chain with Fuzzy House of Risk: A case study in pallet products Ulfah, Maria; Bahauddin, Achmad; Trenggonowati, Dyah Lintang; Ekawati, Ratna; Arina, Faula; Sonda, Atia; Ridwan, Asep; Ferdinant, Putro Ferro
Journal Industrial Servicess Vol 9, No 1 (2023): April 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i1.18953

Abstract

X Corp. is a manufacturing company that produces various wood packaging products, including pallets, which are in high demand, particularly for export commodities. However, the company's supply chain activities are often affected by various risks. If these risks are not addressed in a timely manner, they could disrupt the supply chain and lead to negative consequences for the company. Therefore, the company management needs to implement supply chain risk management to identify and mitigate these risks. This study aims to identify the risks that have occurred or are likely to occur in the supply chain of X Corp. and determine which risks should be prioritized for mitigation. The fuzzy house of risk method was used to analyze the data. The results of the study identified 38 risk events and 22 risk agents. Additionally, 17 proactive actions were proposed to the company to address the priority risk agents and mitigate their potential impact.
A review of energy-aware multi-objective hybrid flow shop scheduling with parallel machines in manufacturing systems Saptiyadi, Arif; Arina, Faula; Kurniawan, Bobby
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.30920

Abstract

Hybrid flow shop scheduling (HFSS) with parallel machines has gained attention among researchers in manufacturing systems because of its critical role in enhancing production efficiency. This type of production system is widely implemented in modern factories today. This production system combines the characteristics of a job shop and flow shop, with each stage having more than one machine capable of processing all jobs. This review provides a comprehensive analysis of HFSS, focusing on the integration of parallel machines to address real-world manufacturing complexities. Key topics covered include problem formulations, mathematical models, heuristic and metaheuristic approaches, and recent advancements in solution techniques. The study highlights the advantages and limitations of various methodologies, emphasizing their applicability in diverse industrial contexts. Furthermore, the review identifies current trends, such as the incorporation of artificial intelligence and Industry 4.0 technologies, as well as gaps in the literature that require further exploration. By synthesizing existing research, this paper aims to guide future studies and offer practical insights for practitioners aiming to enhance scheduling performance in dynamic manufacturing environments.
Integration of SERVQUAL and Six Sigma for enhancing academic service quality in departments and laboratories: A case study Ulfah, Maria; Arina, Faula; Sonda, Atia; Muharni, Yusraini; Anggraeni, Shanti Kirana; Gunawan, Akbar; S. Muttaqin, Ade Irman
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.29226

Abstract

Academic services are super important for shaping how students experience their education and feel about their school. The quality of these services, whether in academic departments or laboratories, affects how well students perform, how engaged they are, and what they think of their institution. This study sets out to figure out the lowest gap value, calculate the sigma value and satisfaction level, and suggest ways to improve the academic services in the Department and Laboratory. We used Servqual and Six Sigma methods to dig into this. The results showed that all service attributes, for both the department and the lab, had negative gap values. For department services, the total sigma value was 2.205 with an average satisfaction level of 76.2%. For lab services, it was a sigma of 2.274 and a satisfaction level of 78.04%. The biggest issue for both was the same: the comfort of the study room in the department and the practicum room in the lab, which were rated as super important but had the lowest satisfaction. Using the 5W + 1H method, we came up with practical suggestions to fix what’s making students unhappy.