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All Journal UG Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL AKUNTANSI KEUANGAN DAN MANAJEMEN The Indonesian Journal of Computer Science
Danang Wijayanto
Politeknik Negeri Jakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Mathematics

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ANALISIS KEPUASAN NASABAH DAN KUALITAS LAYANAN PADA BANK SYARIAH Wijayanto, Danang
UG Journal Vol 13, No 9 (2019)
Publisher : Universitas Gunadarma

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

Abstract

Setiap perusahaan yang bergerak dibidang jasa akan selalu meningkatkan pelayanan kepada pelanggannya. Kualitas pelayanan yang diberikan oleh BNI Syariah Cabang Yogyakarta akan menimbulkan persepsi nasabah terhadap kualaitas pelayanan yang diberikan kepadanya. Pada prakteknya persepsi nasabah terhadap kualitas yang diterimanya seringkali berbeda dengan harapannya. Penelitian ini bertujuan untuk mendapatkan gambaran secara deskriptif tentang kepuasan nasabah terhadap kualitas pelayanan jasa di BNI Syariah Cabang Yogyakarta. Partisipan dalam penelitian ini adalah nasabah BNI Syariah Cabang Yogyakarta sebanyak 96 orang, terdiri dari 58 laki-laki dan 38 perempuan. Data yang diperoleh dianalisis menggunakan teknik Importance – Performance Analysis dan berdasarkan Gap Model. Hasil analisis penelitian pada skala SERVQUAL diketahui pada kelompok kepentingan dari 32 item yang diuji cobakan terdapat 32 item yang valid dengan kisaran 0,841 sampai 0,828. Uji reliabilitas diperoleh sebesar 0,763. pada kelompok kinerja dari 32 item yang diuji cobakan terdapat 32 item yang valid dengan kisaran 0,377 sampai 0,803. Uji reliabilitas diperoleh sebesar 0,742. Hasil data penelitian diperoleh skor tingkat kinerja lebih kecil nilainya yaitu sebesar 3,13 daripada tingkat harapan yaiti sebesar 3,18. Nilai tingkat penyesuaiannya sebesar 98,42%. Hal ini berarti tingkat kepuasan nasabah terhadap kualitas pelayanan BNI Syariah Cabang Yogyakarta belum memenuhi harapan nasabah, sehingga nasabah merasa tidak puas terhadap pelayanan yang telah diberikan oleh pihak BNI Syariah Cabang Yogyakarta.
Analisis Perbandingan Performa Algoritma XGBoost dan LightGBM pada Klasifikasi Kanker Payudara Wijayanto, Danang; Bambang Pilu Hartato
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3901

Abstract

Breast cancer is one of the most common types of cancer and attacks women throughout the world. Judging from death cases, breast cancer is in second place in deaths caused by cancer. The fine needle aspiration method is one way to detect breast cancer early, but there are several disadvantages such as limited samples which affect the accuracy of the diagnosis or dependence on the skill and experience of the person carrying out the method. Machine learning is considered to be able to help overcome problems in the health sector, including being able to diagnose whether someone has cancer or not using the XGBoost and LightGBM algorithms. XGBoost and LightGBM are efficient algorithms for learning and have differences in learning strategies, namely level-wise and leaf-wise. This research will compare the accuracy, sensitivity and specificity performance of two algorithms, namely XBoost and LightGBM, to see which algorithm can perform better classification. From the experimental results, it was found that XGBoost had better performance by obtaining an average accuracy of 97.03%, an average sensitivity of 97.40% and an average specificity of 96.81%, while LightGBM obtained an average accuracy of 95.59%, average sensitivity 94.70% and average specificity 96.10%.
Tax Fairness in Women Taxpayers' Non Taxable Income (PTKP) and Women's Labor Force Participation Rates Wijayanto, Danang; Rahayu, Andini Dwi; Arieftiara, Dianwicaksih
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 6 No. 2 (2025): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v6i2.3834

Abstract

Purpose: This research aims to analyze the fairness of tax rules for women taxpayers and their relationship to the women work participation rate. This is motivated because in Indonesia there is an imbalance in non-taxable income (PTKP) regulations for women and men employees, especially in the formal sector, which in turn has an impact on the low rate of women work participation in the formal sector.Methodology: The analytical method used in this study is a qualitative method, namely a literature review supported by take-home pay calculation simulation data on women formal sector employees regarding perceptions of tax fairness.Results: This study obtained the result that there is an unfairness in the tax regulations for working women taxpayers compared to men and this is related to the lower level of women working in the formal sector compared to men, so that the work participation rate for women is lower than for men.Conclusion: This study highlights the importance of adjusting tax policies to address gender inequality, particularly concerning the lower Non-Taxable Income (PTKP) threshold for women. The international implications of these findings call for G20 countries, including Indonesia, to incorporate gender considerations into their tax regulations, in line with OECD recommendation.Limitations: The study relies on secondary data through literature reviews and simulations, which may not fully capture real-world variables or the broader socio-economic factors that affect women's participation in the workforce.Contribution: This research is expected to contribute in the form of policy recommendations to the tax directorate general to review tax rules that accommodate tax fairness for women taxpayers. This is in line with the OECD proposal at the G20 Presidential 2022 regarding Gender-Based Taxation Policies. This is also in line with the Omnibus Law UU Number 2 of 2022 concerning Job Creation, where the Government of Indonesia has paid attention to the rights of working women and provided facilities, for example, in the form of maternity leave, menstrual leave, etc.
The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification Wijayanto, Danang; Marco, Robert; Sidauruk, Acihmah; Sulistiyono, Mulia
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 2 (2025): MEY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i2.2348

Abstract

Heart disease is a medical condition affecting the cardiovascular system, disrupting blood circulation and reducing cardiac function efficiency, which can lead to severe health complications. Early diagnosis of heart disease has become increasingly crucial as delayed detection can significantly impact patient outcomes and survival rates. While numerous studies have explored various approaches for heart disease classification, challenges related to data imbalance and improper parameter settings remain persistent issues that affect model performance. This research evaluated the effectiveness of combining TabNet with SMOTE and optuna hyperparameter optimization for heart disease classification. We conducted four experimental scenarios using a heart disease dataset with 303 instances: baseline TabNet, baseline TabNet with SMOTE, TabNet with Optuna, and TabNet with both SMOTE and Optuna. Results demonstrated that applying SMOTE alone to TabNet decreased model performance (accuracy from 85.24% to 77.04%, AUC from 0.89 to 0.83). However, when combining SMOTE with Optuna hyperparameter optimization, we achieved optimal performance with 90.16% accuracy, 93.33% precision, 87.50% recall, 90.32% F1-score, and 0.93 AUC. This represented a significant improvement over other configurations and several previous classification approaches. The integration of SMOTE with Optuna optimization  provided an effective framework for heart disease classification that outperformed traditional methods particularly in discriminative capability as evidenced by the superior AUC score.
Co-Authors Acihmah Sidauruk Bambang Pilu Hartato Dianwicaksih Arieftiara Mulia Sulistiyono Rahayu, Andini Dwi Robert Marco, Robert