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All Journal KADIKMA BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Islamic and Social Studies (JISS)
Renaningtyas, Della
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Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation

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The Relevance of Maqamat wa Ahwal in Sufism for Gen Z: Theory, Urgency, and Spiritual Conception in the Digital Era Renaningtyas, Della
Journal of Islamic and Social Studies Vol. 3 No. 1 (2025): Journal of Islamic and Social Studies
Publisher : Fakultas Ushuluddin dan Dakwah IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/jiss.v3i1.1714

Abstract

This article discusses the relevance of the concepts of Maqamat and Ahwal in Sufism for Generation Z. Maqamat are stages in the spiritual journey towards Allah, while Ahwal are the inner experiences experienced during the journey. This concept provides a stable and meaningful direction for Generation Z in dealing with the complexities of modern life. Through a literature and qualitative approach, this article discusses the contribution of Generation Z in responding to identity politics at the local level and the importance of the Maqamat and Ahwal concepts in the development of a personal relationship with Allah and self-transformation towards moral and spiritual perfection.
COMBINATION OF SAW-TOPSIS AND BORDA COUNT METHODS IN SEQUENCING POTENTIAL CONVALESCENT PLASMA DONORS Ilmiyah, Nur Fadilatul; Al Hasani, Salma Zahrotun Nihayah; Renaningtyas, Della
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1521-1532

Abstract

Convalescent Plasma Therapy (CPT) is an additional therapy to increase the chances of recovery for patients infected with COVID-19. CPT is carried out by giving blood plasma from COVID-19 survivors to COVID-19 patients. Not all survivors of COVID-19 can become plasma donors. Several criteria must be met. Therefore, selecting and sequencing potential plasma donors can be considered an act of decision-making. This research aims to provide an overview of the application of the SAW-TOPSIS combination and the Borda Count method in selecting and ranking potential plasma donor candidates. The criteria for prospective plasma donors are limited to six aspects, namely age, weight, history of blood transfusion, gender, pregnancy status, history of being infected with COVID-19, and history of previous illnesses. Data was taken from ten COVID-19 survivors to illustrate the application of the three methods. The data is taken from a questionnaire distributed via Google Forms. This research was carried out through 3 stages: applying the SAW method, the TOPSIS method, and the Borda Count method. From the calculated results, P06 was the most potential plasma donor candidate, followed by P03, P09, P02, and P04.
MODEL PREDIKSI LABA BERSIH BERDASARKAN BEBAN OPERASIONAL MENGGUNAKAN ARIMAX PADA PT KINO INDONESIA TBK. Resti, Nalsa; Ilmiyah, Nur Fadilatul; Renaningtyas, Della
Kadikma Vol. 16 No. 2 (2025): Agustus 2025
Publisher : Department of Mathematics Education , University of Jember

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Abstract

Penelitian ini menyoroti pentingnya strategi perencanaan keuangan berbasis data dalam menghadapi fluktuasi laba bersih PT Kino Indonesia Tbk, dengan peramalan sebagai alat utama untuk memahami pengaruh beban operasional terhadap kinerja laba bersih dari waktu ke waktu. Tujuan dari penelitian ini adalah untuk meramalkan laba bersih PT Kino Indonesia Tbk berdasarkan beban operasional dengan menggunakan metode ARIMAX (Autoregressive Integrated Moving Average with Exogenous Variables), untuk membantu perusahaan dalam menyusun strategi keuangan jangka menengah yang lebih terarah dan berbasis data. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian deskriptif-prediktif. Data yang digunakan merupakan data sekunder berupa laporan keuangan triwulanan PT Kino Indonesia Tbk periode 2018 hingga 2023. Variabel yang dianalisis terdiri dari laba bersih sebagai variabel dependen dan beban operasional sebagai variabel eksogen. Pemilihan model ARIMAX dilakukan melalui tahapan identifikasi data, uji stasioneritas, estimasi parameter, dan uji diagnostik. Model terbaik ditentukan berdasarkan nilai AIC, SBC, dan uji Ljung-Box. Akurasi model diukur menggunakan nilai Mean Absolute Percentage Error (MAPE). Hasil analisis menunjukkan bahwa model ARIMAX(1,0,0) merupakan model terbaik untuk meramalkan laba bersih berdasarkan beban operasional. Prediksi laba bersih periode 2024 hingga 2028 menunjukkan tren peningkatan meskipun terdapat fluktuasi antar kuartal. Nilai MAPE sebesar 8,00455698% menunjukkan tingkat akurasi yang sangat tinggi
Co-Authors Al Hasani, Salma Zahrotun Nihayah Nur Fadilatul Ilmiyah Resti, Nalsa