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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Manajemen STIE Muhammadiyah Palopo JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Jurnal Riset Informatika EKUITAS (Jurnal Ekonomi dan Keuangan) Literatus Jurnal Ekonomi Jurnal Terapan Ilmu Manajemen dan Bisnis (JTIMB) Jurnal Indonesia Sosial Teknologi Klabat Accounting Review Klabat Journal of Management JER
Fanny Soewignyo
Fakultas Ekonomi Dan Bisnis Universitas Klabat
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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EXPLORING THE NEXUS BETWEEN SERVICE QUALITY, PATIENT SATISFACTION, AND RECOMMENDATION INTENTIONS IN FAITH-BASED HOSPITAL SETTINGS Inaray , Ayu Christa Pratiwi; Soewignyo , Fanny; Sumanti, Elvis R; Mandagi, Deske W
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 8 No 3 (2024): September
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/j25485024.y2024.v8.i3.6527

Abstract

  More research is needed, particularly examining the connection between service quality and patient happiness in the setting of faith-based hospitals. This study seeks to fill this empirical void by investigating the correlation between service quality, patient satisfaction, and the intention to recommend a faith-based private hospital. An empirical study was carried out from October to November 2022, with a sample of 200 participants who underwent medical treatment at religiously affiliated facilities in Manado, North Sulawesi, Indonesia. The quantitative data were examined using structural equation modelling (SEM) using SmartPLS version 3.2. The results suggest that the quality of healthcare services has a favourable impact on consumer satisfaction. The intention to promote healthcare services is strongly influenced by patient satisfaction. Moreover, patient satisfaction completely mediates the association between healthcare service quality and recommendation intention. Furthermore, the study highlights reliability as the primary determinant in forecasting the quality of healthcare services. The findings enhance comprehension of the dynamics within faith-based hospital settings, guiding strategic initiatives to enhance healthcare delivery and patient outcomes.
INTELLECTUAL CAPITAL AND FIRM PERFORMANCE OF BANKING SECTOR IN INDONESIA Kondoy, Elfira Ira; Soewignyo, Fanny
Jurnal Terapan Ilmu Manajemen dan Bisnis (JTIMB) Vol. 6 No. 1 (2023): JTIMB | Juni 2023
Publisher : Program Studi Magister Manajemen Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58303/jtimb.v6i1.3038

Abstract

This study aims to evaluate the ability of intellectual capital to predict the performance of banking sector companies in 2018-2021 period using a purposive sampling method. Intellectual capital was measured using the Value-Added Intellectual Coefficient method which considers the elements of Human Capital Efficiency, Structural Capital Efficiency and Capital Employed Efficiency. The results of this study indicated that intellectual capital could predict company performance. The three elements of intellectual capital simultaneously influenced the performance of banking sector companies as measured by return on assets and 84% of the variation in company performance was determined by intellectual capital. Partially, Human Capital Efficiency and Capital Employed Efficiency had a significant positive effect on company performance which stated that the higher the Human Capital Efficiency and Capital Employed Efficiency the better the company performance, while Structural Capital Efficiency had a significant negative effect on company performance stating that the greater the investment in structural capital, the lower the company's performance. Furthermore, it was found that variations in Indonesian banking performance depended heavily on human resources (standardized beta = 0.729), followed by physical and financial assets (standardized beta = 0.207), and finally on structural capital (standardized beta = -0.098). The role of human resources was still very large in the Indonesian banking sector. This study had limitations; therefore, it is recommended for further research to add all non-bank financial sectors because a larger sample size is expected to provide better results. Furthermore, it is recommended that COVID-19 is added as a moderating variable.
FORECASTING HEALTH INSURANCE PAYER INCOME: A COMPARATIVE ANALYSIS OF DECISION TREE AND SVR ALGORITHMS Mokodaser, Wilsen Grivin; Soewignyo, Tonny Irianto; Tangka, George Morris William; Soewignyo, Fanny
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2466.493 KB) | DOI: 10.34288/jri.v7i3.369

Abstract

An insurance company is a type of non-bank financial institution that protects clients from risks and collects premiums over a certain period, these facts provide an overview of the insurance business and highlight its role in the economy, this study evaluated the performance difference between the Decision Tree Regressor and Support Vector Regression (SVR) in predicting insurance payer income. The Decision Tree model demonstrated strong predictive accuracy, achieving a Mean Absolute Error (MAE) of approximately 57 million and an R-squared (R²) value of 0.896, meaning it could explain around 89.6% of the variance in the data. Additionally, the model maintained high consistency, as evidenced by 5-fold cross-validation scores ranging from 0.908 to 0.967, indicating strong generalization and low risk of overfitting. In contrast, the SVR model significantly underperformed. It recorded a much higher MAE of over 237 million and a large Mean Squared Error (MSE), reflecting substantial deviations from the actual values. Its R² score of -0.299 suggests that SVR performed worse than a naive mean predictor, failing to identify meaningful patterns. This poor performance was consistent across all cross-validation folds, which also produced negative R² scores. The SVR model’s inadequacy is likely due to the large scale of the income data and the lack of proper preprocessing, such as normalization, or parameter tuning. Overall, these findings clearly demonstrate that the Decision Tree Regressor is a more suitable, accurate, and stable model for predicting insurance payer income.
Predictive Ability of Managerial Effectiveness and Credit Risk on Market Performance of Manufacturing Industry Putri Anjel, Cry Cinta; Kambey, Hanna Gratia; Soewignyo, Fanny
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 7 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i7.1181

Abstract

This study aims to evaluate the managerial effectiveness and credit risk in predicting the market performance of non-cyclical sector companies listed on the Indonesia Stock Exchange for the period 2018-2022. The number of samples is 38 companies so the total observation data is 190 data on 38 companies. This study uses a causal descriptive design approach where the measurement of managerial effectiveness uses return on net operating assets and credit risk is measured by debt to equity ratio. While measuring market performance using Tobin's Q. The study used RNOA to measure managerial effectiveness, Tobin's Q to measure market performance and DER to measure credit risk. The results of the study show that 88.1% variation in the value of Tobin's Q in non-cyclical sector companies listed on the IDX can be explained by the return on net operating assets RNOA and debt to equity ratio DER. which indicates that managerial effectiveness and credit risk play a crucial role in determining the company's market performance. Partially, the return on net operating assets of RNOA had a significant negative effect on Tobin's Q and the debt-to-equity ratio DER had a significant positive effect on Tobin's Q.
Peran Pengungkapan Keberlanjutan dan Pemanfaatan Aset terhadap Penilaian Pasar Sompotan, Iveny Junita; Soewignyo, Fanny
Jurnal Manajemen STIE Muhammadiyah Palopo Vol 10, No 1 (2024)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) Universitas Muhammadiyah Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35906/jurman.v10i1.1983

Abstract

Abstract This study examines the role of sustainability disclosure and asset utilization in market measurement of the energy and basic mineral sectors. Using purposive sampling,30 energy and basic mineral sector companies listed on the Indonesia Stock Exchange for the period 2022 were selected. Multiple regression analysis revealed that partially accounts receivable turnover and total asset turnover have a significant negative effect on market measurement, while property plant and equipment turnover has a significant positive effect on market measurement. Meanwhile, sustainability disclosure, cash turnover and inventory turnover do not have a significant effect on market measurement. The negative impact of accounts receivable turnover suggest that faster receivables collection leads to decreased market value. The negative impact of total asset turnover ratio suggests market skepticism about the efficiency of total asset utilization without accompanying profit increases during the Covid-19 pandemic. Conversely, the significant positive impact of property, plant and equipment turnover on market measurement indicates that more efficient utilization of company’s fixed assets leads to higher market value. Sustainability disclosure does not have a significant effect on market measurement indicating that the market has not paid attention to sustainability diseclosure. Company must consistently commit to sustainability reporting in accordance with standards for all stakeholders.Keywords: Sustainability Disclosure, Asset Utilization, Market Measurement Abstrak Penelitian ini bertujuan untuk menganalisa apakah pengungkapan keberlanjutan dan pemanfaatan aset memiliki peran pada penilaian pasar untuk sektor energi dan mineral dasar. Dengan menggunakan purposive sampling diperoleh 30 perusahaan sektor energi dan mineral dasar yang terdaftar di Bursa Efek Indonesia periode tahun 2022. Penelitian ini menggunakan analisis regresi berganda dan hasil penelitian menunjukkan bahwa secara parsial accounts receivable turnover dan total asset turnover berpengaruh signifikan negatif terhadap market measurement sedangkan Property Plant and Equipment turnover berpengaruh signifikan positif terhadap market measurement. Adapun sustainability disclosure, cash turnover dan inventory turnover tidak berpengaruh signifikan terhadap market measurement. Accounts receivable turnover yang berpengaruh negatif terhadap penilaian pasar mengindikasikan bahwa semakin cepat penagihan maka semakin menurun nilai pasar. Total asset turnover ratio yang berpengaruh negatif mengindikasikan ketidak percayaan pasar tentang efisiensi pemanfaatan total aset apabila tidak disertai dengan peningkatan laba yang dialami selama masa pandemi Covid-19. Sedangkan property, plant and equipment turnover berpengaruh signifikan positif terhadap penilain pasar menyatakan bahwa semakin efisien penggunaan aset tetap perusahaan semakin tinggi nilai pasar. Sustainability disclosure tidak berpengaruh signifikan terhadap market measurement mengindikasikan bahwa pasar belum memberi perhatian pada pengungkapan keberlanjutan. Perusahaan harus berkomitment secara konsisten dalam membuat laporan keberlanjutan sesuai standar yang berlaku untuk semua pemangku kepentingan.Kata Kunci: Pengungkapan Keberlanjutan, Pemanfaatan Asset, Penilaian Pasar
Peran Social Commerce dalam Meningkatkan Kepercayaan Konsumen dan Niat Beli Soewignyo , Tonny Irianto; Soewignyo, Fanny; Ambalao, Shapely
Jurnal Economic Resource Vol. 8 No. 2 (2025): September - February
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v8i2.2000

Abstract

Penelitian ini mengkaji peran social commerce dalam membangun kepercayaan dan meningkatkan niat beli konsumen melalui pendekatan Systematic Literature Review (SLR) berdasarkan pedoman PRISMA. Dari 815 artikel awal, tujuh studi utama dianalisis secara mendalam. Hasil penelitian menunjukkan bahwa interaksi sosial, ulasan konsumen (OCR/e-WOM), dan konten buatan pengguna menjadi faktor kunci pembentuk trust. Live streaming commerce memperkuat kepercayaan melalui demonstrasi produk real-time dan kualitas informasi yang tinggi, sedangkan influencer berperan signifikan dalam membentuk kredibilitas dan keputusan pembelian. Sistem reputasi digital seperti rating dan review juga terbukti mengurangi ketidakpastian konsumen. Temuan ini dirangkum dalam kerangka Stimulus–Organism–Response (S-O-R), yang menunjukkan bahwa stimulus sosial mempengaruhi respon kognitif-emosional konsumen dan berujung pada niat serta keputusan pembelian. Studi ini menekankan pentingnya strategi interaksi digital dan kredibilitas influencer dalam meningkatkan performa social commerce.
Evaluasi Kinerja Algoritma Apriori dan FP-Growth untuk Association Rule Mining pada Data Transaksi Ritel Soewignyo, Fanny; Soewignyo, Tonny Irianto; Mokodaser, Wilsen Grivin; Silitonga, Argha Orion
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14952

Abstract

Ledakan data transaksi ritel yang terekam melalui sistem Point of Sale (POS) dan platform daring menuntut metode analisis yang efektif untuk menggali pola pembelian konsumen. Association Rule Mining merupakan pendekatan populer untuk menemukan keterkaitan antarproduk, dengan algoritma Apriori dan FP-Growth sebagai dua metode yang paling banyak digunakan. Penelitian ini bertujuan memberikan gambaran empiris mengenai efektivitas kedua algoritma tersebut pada data transaksi ritel yang nyata. Metode yang digunakan meliputi tahapan data understanding untuk mengenali struktur data, data cleaning untuk menghapus nilai kosong dan menyeragamkan format, serta data transformation menggunakan TransactionEncoder untuk mengubah data mentah menjadi format biner (one-hot encoded). Selanjutnya algoritma Apriori dan FP-Growth dijalankan dengan parameter yang sama untuk menghasilkan frequent itemsets dan aturan asosiasi. Evaluasi kinerja dilakukan dengan mengukur waktu pemrosesan, jumlah aturan yang dihasilkan, serta nilai support, confidence, dan lift tertinggi. Hasil penelitian menunjukkan bahwa kedua algoritma menghasilkan jumlah aturan yang sama (63 aturan) dengan support tertinggi 0,06, confidence tertinggi 0,51, dan lift tertinggi 3,29, tetapi waktu pemrosesan berbeda signifikan (Apriori 0,39 detik, FP-Growth 6,95 detik). Kesimpulannya, association rule mining efektif mengungkap pola pembelian konsumen, dan algoritma Apriori lebih efisien untuk dataset kecil hingga menengah, sedangkan FP-Growth lebih sesuai untuk dataset yang jauh lebih besar. Keywords - Association Rules, Apriori, FP-Growth, Frequent Itemset, Transaksi Ritel.
Co-Authors Agita Prasetyowati Wibowo Ambalao, Shapely Chesiona Esteron Keintjem Christin Rindorindo Deske W. Mandagi Elvis Ronald Sumanti Frandy Melvin Walean George Morris William Tangka Gloria Ngangi Inaray , Ayu Christa Pratiwi Jonathan Paul Sabatani Tani JUNIOR LAKAT Kambey, Hanna Gratia Kondoy, Elfira Ira Merlien Mamarimbing Natasya Simatupang Putri Anjel, Cry Cinta Rut Ezer Wanda Sheren Syalomitha Antou Silitonga, Argha Orion Soewignyo , Tonny Irianto Sompotan, Iveny Junita Tonny Irianto Soewignyo Wilsen Grivin Mokodaser