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Analisis Kelayakan Ekonomi Pengelolaan Sampah Plastik Rumah Tangga Menggunakan Trichoderma sp. Zulaika, Aidha; Soesilo, Tri Edhi Budhi; Noriko, Nita; Sahamony, Nur Fitriyani
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 17, No 2 (2020): Juli 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.126 KB) | DOI: 10.14710/presipitasi.v17i2.185-193

Abstract

Processing and managing plastic waste must be carried out through the application of environmental sustainability that can integrate ecology-based management and consider the social and economic dynamics known as the Socio-Ecological System (SES). This study aimed to determine the economic feasibility of household plastic waste management using Trichoderma sp. The research method used was the observation of plastic waste management in the community and secondary data processing results from field research on plastic waste processing with Trichoderma sp. Data analysis was carried out by applying economic analysis using the Benefit-Cost Ratio (BCR) analysis. Based on the economic analysis, it was found 1.29 BCR values for plastic waste processing using Trichoderma sp.
ANALISIS BIFURKASI MODEL LESLIE GOWER TIPE HOLLING II DENGAN WAKTU TUNDA N. F. SAHAMONY; P. SIANTURI; J. JAHARUDDIN
MILANG Journal of Mathematics and Its Applications Vol. 15 No. 1 (2016): Journal of Mathematics and Its Applications
Publisher : Dept. of Mathematics, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.109 KB) | DOI: 10.29244/jmap.15.1.33-44

Abstract

Pada artikel ini dijelaskan model persamaan diferensial nonlinear  mangsa pemangsa Leslie Gower dengan waktu tunda pada mangsa dan pemangsa. Berdasarkan hasil analisis diperoleh empat titik tetap, satu di antaranya bersifat stabil dan tiga lainnya tidak stabil pada saat nilai ???? = 0 (tanpa waktu tunda). Waktu tunda kritis (????0) adalah nilai batas yang menyebabkan perubahan kestabilan. Simulasi numerik dibagi menjadi tiga kasus, yakni ketika nilai ???? = 0 (tanpa waktu tunda) bersifat stabil, ???? < ????0 bersifat stabil dan saat nilai ???? > ????0 bersifat tidak stabil. Dari hasil simulasi saat nilai ???? > ????0 bersifat tidak stabil hal ini disebabkan karena terjadi bifurkasi pada model tersebut, titik tetap yang awalnya bersifat stabil menjadi tidak stabil.
Pengaruh Literasi Keuangan Terhadap Perilaku Gaya Hidup Hedonisme Atika; Afriyani, Santi; Sahamony, Nur Fitriyani
Jurnal Manajemen & Bisnis Digital Vol. 2 No. 1 (2023): Jurnal Manajemen dan Bisnis Digital
Publisher : Prodi Manajemen dan Bisnis Digital Universitas Binawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54771/jmbd.v2i1.1091

Abstract

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh literasi keuangan terhadap perilaku gaya hidup hedonisme mahasiswa Universitas Binawan. Sampel ini diambil dari Mahasiswa aktif Universitas Binawan dari semua angkatan aktif di periode 2021-2022. Pemilihan sampel yaitu pada kalangan mahasiswa karena berada dalam masa pembentukan identitas. Jenis data yang digunakan dalam penelitian kuantitatif ini adalah data primer yang diperoleh dari kuesioner yang dibagikan dan berhubungan dengan masalah yang diteliti. Instrument penelitian yang digunakan dalam penelitian ini menggunakan metode Skala Likert. Indikator yang digunakan pada literasi keuangan (variabel X) mencakup pengetahuan keuangan, perilaku keuangan, sikap keuangan, keterampilan keuangan, dan tingkat keyakinan. Indikator yang digunakan pada gaya hidup hedonisme (variabel Y) mencakup kegiatan, minat, dan opini. Hasil penelitian yang menggunakan perhitungan statistik melalui aplikasi Statistical Package for the Social Science (SPSS) versi 26 menunjukkan bahwa literasi keuangan berpengaruh positif dan signifikan terhadap perilaku gaya hidup hedonisme mahasiswa Universitas Binawan.   Kata kunci: Literasi keuangan, Gaya hidup hedonisme, Mahasiswa, Universitas Binawan.   Abstract: This study aims to determine the effect of financial literacy on the hedonistic lifestyle behavior of Binawan University students. This sample was taken from active Binawan University students from all active batches in the 2021-2022 period. The sample selection is among students because they are in a period of identity formation. The type of data used in this quantitative research is primary data obtained from questionnaires distributed and related to the problem under study. The research instrument used in this study uses the Likert Scale method. The indicators used in financial literacy (variable X) include financial knowledge, financial behavior, financial attitude, financial skills, and level of confidence. The indicators used in the hedonism lifestyle (variable Y) include activities, interests, and opinions. The results of the study using statistical calculations through the Statistical Package for the Social Science (SPSS) version 26 application show that financial literacy has a positive and significant effect on the hedonistic lifestyle behavior of Binawan University students.   Key words: Financial literacy, Hedonistic lifestyle behavior, College students, Binawan University.
Analisis Perbandingan Kinerja Model Machine Learning untuk Memprediksi Risiko Stunting pada Pertumbuhan Anak: Analysis of Performance Comparison of Machine Learning Models for Predicting Stunting Risk in Children's Growth Sahamony, Nur Fitriyani; Terttiaavini, Terttiaavini; Rianto, Harsih
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1210

Abstract

Stunting menjadi masalah serius dalam pertumbuhan anak di Indonesia, mendorong penelitian ini untuk mengembangkan model prediksi menggunakan Machine Learning. Tujuan penelitian adalah membandingkan performa dari lima algoritma yaitu Random Forest, Logistic Regression, Naïve Bayes, SVM dan  Neural Networks untuk memprediksi stunting anak. Data stunting anak tahun 2023 dari Kota Lubuk Linggau yang digunakan dengan total 400 sampel. Metodologi penelitian melibatkan langkah inisiasi, pengembangan model linier, pembandingan hasil pengujian model, dan analisis prediksi menggunakan platform KNIME. Hasil uji menunjukkan bahwa Naïve Bayes memiliki performa tertinggi dengan akurasi = 98,57%, F1-Score = 0,99, serta recall dan precision yang sangat tinggi. Random Forest juga memberikan hasil baik dengan akurasi = 98,29%, namun Naïve Bayes diidentifikasi sebagai model terbaik. Penelitian ini memberikan kontribusi signifikan dalam upaya untuk pencegahan stunting dengan menggabungkan teknologi Machine Learning dan analisis dataset kesehatan. Dengan mengembangkan model prediksi menggunakan berbagai algoritma machine learning, diharapkan dapat membantu praktisi kesehatan dalam mengidentifikasi risiko stunting secara dini. Model yang optimal dapat digunakan sebagai alat pendukung keputusan untuk memberikan intervensi yang tepat dan efektif.
DAMPAK LITERASI KEUANGAN DIGITAL TERHADAP PERILAKU KEUANGAN MAHASISWA UNIVERSITAS BINAWAN Sahamony, Nur Fitriyani
JURNAL LENTERA AKUNTANSI Vol. 8 No. 1 (2023): JURNAL LENTERA AKUNTANSI, MEI 2023
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrakt.v8i1.800

Abstract

The purpose of this study was to find out whether there s an nfluence between financial literacy on the financial behavior of Binawan Uiniversity students. The research method used n this research s descriptive analysis with a quantitative approach. The sample used was 98 and were active students at Binawan Uiniversity. The results of the study show that there s an nfluence between financial literacy on the financial behavior of Binawan Uiniversity students. The results of the regression test show that the coefficient of determination (R2) s 0.973 or 97.3%. This value ndicates that 97.3% of financial behavior s nfluenced by financial literacy, while the remaiining 2.7% s nfluenced by other variables not examined n this study.Key words: Financial Literacy, Financial Behavior, Student Finance
Simultaneous inference for empirical best predictors in generalized linear mixed models: A poverty study in West Java SAHAMONY, NUR FITRIYANI; SADIK, KUSMAN; KURNIA, ANANG
Jurnal Natural Volume 25 Number 3, October 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v25i3.47540

Abstract

Accurate poverty mapping at the district and municipal levels remains challenging due to small sample sizes in household surveys, which often result in unstable direct estimates. To address this issue, this study employs microdata from the 2023 National Socioeconomic Survey (SUSENAS) to estimate household-level poverty proportions across 27 districts and municipalities in West Java Province using a binomial Generalized Linear Mixed Model (GLMM) combined with the Empirical Best Predictor (EBP) and Simultaneous Confidence Intervals (SCI). The GLMM framework captures household characteristics and random area effects to account for spatial heterogeneity. Three SCI approachesBonferroni correction, Bootstrap-t, and the Simes procedurewere implemented to evaluate EBP uncertainty while controlling the family-wise error rate. Results reveal substantial disparities, with Tasikmalaya (21.7%), Bandung Barat (15.5%), and Cianjur (12.8%) consistently above the provincial average of (6.8%), while urban areas such as Cimahi, Bekasi, and Depok report poverty rates below 2%. All methods achieved full empirical coverage (ECP = 100%), although interval widths differed: Bonferroni produced the widest intervals (AIW = 44.99), Bootstrap-t yielded the narrowest and most efficient (AIW = 29.16), and Simes provided intermediate but highly consistent results (AIW = 33.24). These findings underscore the methodological importance of integrating GLMM, EBP, and SCI for small area estimation while offering practical insights for evidence-based policy development and poverty reduction strategies in Indonesia.