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ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI KESUKSESAN MERGER & AKUISISI PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2005 – 2015 Dewi Apriliani, Dewi Apriliani; Sigit Mulyanto, Sigit Mulyanto
EKONOMIKA45 : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 7 No. 2 (2020): Juni : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Several companies that carry out mergers & acquisitions can run successfully and not successfully. This study aims to find out what factors can effect the success of mergers and acquisitions, in this study using profitability ratios, leverage ratios, activity ratios, size and financial distress. The sampling method in this study are purposive sampling with a sample of 40 company that had a merger & acquisitions activities and were listed on Bursa Efek Indonesia from 2005 to 2015.The method of analysis in this study is by using logistic regression for predict the chances of success company to do merger & acquisitions and not success company to do merger & acquisitions. This study used significance level in 10%. The result showed that profitability ratio, leverage ratio, activity ratio, and financial distress did not have a significance effect on the success of company merger & acquisitions while size had a positive and significance effect on the success of company merger & acquisitions.

Sentiment Classification of Livin’ by Mandiri Reviews in Indonesia Using LSTM for Digital Banking Service Improvement Mulyanto, Sigit; Yonia, Dwika Lovitasari; Situmorang, Kheylina Lidya; Sutejo, Bambang
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 1 (2025): AGUSTUS
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i1.1011

The rapid expansion of digital banking services in Indonesia has increased the need for continuous monitoring of user satisfaction, particularly through feedback submitted via app reviews. This study analyses user sentiment toward the Livin’ by Mandiri mobile banking application using a deep learning approach. A total of 5,000 user reviews were collected exclusively from the Google Play Store and pre-processed through text cleaning steps such as slang normalization, stemming, and tokenization. Sentiment labels (positive, neutral, negative) were assigned using an Indonesian lexicon-based method, and a Long Short-Term Memory (LSTM) model was trained and evaluated with accuracy, precision, recall, and F1-score metrics. Results indicate negative sentiment dominates (37.6%), with frequent complaints about login failures and slow performance, while the LSTM model achieved 98% accuracy. This study is limited by its single-platform data source, potential linguistic bias in Indonesian user reviews, and the model’s limitations in detecting sarcasm or complex emotions. Nonetheless, the findings demonstrate the applicability of sentiment analysis as a real-time monitoring tool to support feature enhancement and user experience improvements in Indonesian mobile banking services.

Penyusunan Laporan Keuangan Berdasarkan SAK EMKM pada UMKM (Studi Kasus Salon Noni di Kuala Pembuang) Pahlevi, Olvi Salavia; Mulyanto, Sigit
Keizai Vol 1, No 2 (2020): September
Publisher : Universitas Darwan Ali

The preparation of financial reports is needed by MSME owners to support their business because with financial reports they can find out the number of profits and losses they get. The purpose of this research is to compile the Noni Salon MSME Financial Statements based on SAK EMKM. This type of research is descriptive through a qualitative approach. The results showed that Salon Noni did not record and prepare financial reports based on SAK EMKM because they did not understand how to prepare the financial statements. Salon Noni MSME Financial Statements as of December 31, 2019, with total assets owned by MSMEs of IDR 140,534,000, total liabilities and equity of IDR 140,534,000, Salon Noni MSME Profit and Loss Report shows net income of IDR 75,217,000. Notes on Salon Noni MSME Financial Statements have been prepared in accordance with SAK EMKM.

Review the Dimensions of Brand Equity (Study on Community of Users of Federal Brand Motorcycle Engine Lubricants in Sampit Early 2021) Sutejo, Bambang; Mulyanto, Sigit
Keizai Vol 2, No 1 (2021): Maret
Publisher : Universitas Darwan Ali

This study aims to determine how the strength of the brand equity of Federal brand motorcycle engine lubricants is seen from the dimensions of brand awareness, brand associations, perceived quality, and brand loyalty. The population in this study is the community of users of Federal brand motorcycle engine lubricants who replace lubricants at a motorcycle repair shop in Sampit. Data was obtained by using a questionnaire which was then analyzed by descriptive analysis. Brand awareness data is measured by percentage calculation, brand association data is measured by the Cochran test, while data on perceived quality and brand loyalty is measured by means. The results of the study show that (1) the dimension of brand awareness of Federal motorcycle lubricants ranks third in the top of mind, second in brand recall, and 4% in brand recognition. Associations related to Federal lubricants are Astra products, lubricants whose quality is tested, durable, and easy to obtain because they are available in various places in Indonesia. Federal lubricant quality perception has a performance level (3.12) lower than the importance level (4.25). From the switcher level brand loyalty to liking the brand, is categorized as good enough as the committed buyer level, it can be seen from the frequency of consumers suggesting and promoting Federal lubricants (3.91), therefore it can be concluded that Federal lubricant brand equity is quite strong.

Pengaruh Cash Conversion Cycle terhadap Profitabilitas Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2010-2017 Megawati, Megawati; Mulyanto, Sigit
Keizai Vol 1, No 1 (2020): Maret
Publisher : Universitas Darwan Ali

This study aims to determine the effect of the cash conversion cycle on the profitability of manufacturing companies listed on the Indonesian Stock Exchange (BEI). The sampling technique used is purposive sampling. The sample used in this research is 83 companies consisting of 23 companies from the consumer goods sector, 36 from primary industry and chemicals, and 24 from the miscellaneous industry. The dependent variable in this study is profitability proxied to return on assets (ROA). The independent variable is the cash conversion cycle and there are three control variables in this study, namely debt, growth, and size. This research was conducted using multiple linear regression. The result of this research shows that the cash conversion cycle did not affect profitability in the manufacturing sector which is listed on the Indonesian Stock Exchange (BEI).

Benchmarking Machine Learning Models for Corporate Bankruptcy Prediction using Financial Ratios Mulyanto, Sigit; Yonia, Dwika Lovitasari; Arif, Muhammad; Sutejo, Bambang
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i2.1071

Corporate bankruptcy prediction is a critical task in financial risk management, particularly under conditions of economic uncertainty and highly imbalanced datasets. This study presents a comprehensive benchmarking framework that evaluates multiple supervised learning models and a voting ensemble approach for corporate bankruptcy prediction. Using a publicly available dataset comprising 78,682 financial records from US-listed companies on NYSE and NASDAQ (1999-2018), we compare the performance of Random Forest, XGBoost, Gradient Boosting, Support Vector Machine, Decision Tree, and a Voting Classifier. Extensive preprocessing, including outlier removal, normalization, and feature selection, and cost-sensitive learning to mitigate severe class imbalance was conducted to ensure data quality. Model performance was assessed using multiple evaluation metrics such as accuracy, F1-score, and ROC AUC to account for class imbalance. Results demonstrate that the Voting Classifier, integrating Random Forest, XGBoost, and Gradient Boosting via hard voting, achieves superior overall performance with an accuracy of 93.6%, F1-score of 96.5%, and ROC AUC of 82.6%, outperforming individual models. The findings underscore the value of ensemble approaches in improving prediction robustness while addressing class imbalance challenges in financial distress forecasting. This study contributes a reproducible experimental design that can guide future research and practical implementation of learning models in corporate bankruptcy risk assessment.

Penguatan Kapasitas Perempuan dalam Pencegahan Stunting melalui Edukasi Gizi, Bermain, dan Komunikasi di Kotawaringin Timur Nurahman, Nurahman; Sigit Mulyanto; Dwika Lovitasari Yonia; Dwi Wahyu Prabowo; Lukman Bachtiar
Rengganis Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v5i2.828

Stunting masih menjadi masalah serius di Kabupaten Kotawaringin Timur dengan prevalensi cukup tinggi dan berdampak pada kualitas generasi mendatang. Perempuan memiliki peran strategis dalam pencegahan stunting melalui pengasuhan, pemenuhan gizi, dan komunikasi dalam keluarga. Program Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan pengetahuan dan keterampilan perempuan dalam mencegah stunting dengan pendekatan terpadu berbasis edukasi. Metode pelaksanaan mencakup ceramah interaktif, diskusi, simulasi, serta tanya jawab yang melibatkan peserta dari Gabungan Organisasi Wanita (GOW), IPEMI, kader kesehatan, dan masyarakat. Kegiatan difokuskan pada empat materi utama, yaitu edukasi stunting dan pentingnya 1000 Hari Pertama Kehidupan (HPK), penerapan gizi seimbang melalui konsep “Isi Piringku”, stimulasi perkembangan anak melalui aktivitas bermain, serta komunikasi efektif orang tua–anak. Hasil kegiatan menunjukkan peserta antusias, aktif berdiskusi, dan memahami pentingnya peran mereka dalam mencegah stunting di lingkungan keluarga. Kesimpulannya, PKM ini mampu meningkatkan literasi gizi, kesadaran akan pentingnya stimulasi bermain, serta keterampilan komunikasi efektif, sehingga memperkuat kapasitas perempuan sebagai agen perubahan menuju terwujudnya generasi emas bebas stunting.

Dinamika Kausalitas Aliran Modal Asing dan Variabel Makroekonomi terhadap Jakarta Islamic Index Periode 2020–2024 Nasution, Febriza Damaianti; Siregar, Rizal Ma'ruf Amidy; Mulyanto, Sigit
PROFJES: Profetik Jurnal Ekonomi Syariah Vol 4, No 2 (2025)
Publisher : UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/profjes.v4i2.17668

Pasar modal syariah memiliki peran strategis dalam mendukung stabilitas sistem keuangan nasional, salah satunya tercermin melalui kinerja Jakarta Islamic Index (JII). Namun, dalam periode 2020–2024, pergerakan JII menunjukkan volatilitas yang cukup tinggi di tengah ketidakpastian ekonomi global, sehingga menimbulkan pertanyaan mengenai faktor-faktor penentu pergerakannya. Penelitian ini bertujuan untuk menganalisis dinamika hubungan kausalitas antara net foreign, capital flow, kurs, dan inflasi terhadap indeks harga saham pada Jakarta Islamic Index. Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder time series bulanan sebanyak 60 observasi selama periode 2020–2024 yang bersumber dari Investing, Stockbit, Kementerian Perdagangan, dan Bank Indonesia. Metode analisis yang digunakan meliputi uji stasioneritas, penentuan lag optimal, uji stabilitas VAR, uji kointegrasi, serta uji kausalitas Granger dengan pendekatan VAR/VECM menggunakan perangkat lunak EViews 9. Hasil penelitian menunjukkan adanya hubungan kausalitas satu arah dari net foreign dan capital flow terhadap indeks harga saham Jakarta Islamic Index. Sementara itu, variabel kurs dan inflasi tidak menunjukkan hubungan kausalitas baik satu arah maupun dua arah dengan indeks harga saham JII. Temuan ini mengindikasikan bahwa aliran modal asing memiliki peran yang lebih dominan dibandingkan variabel makroekonomi dalam memengaruhi pergerakan indeks saham syariah di Indonesia. Penelitian ini diharapkan dapat memberikan kontribusi akademik dalam pengembangan kajian pasar modal syariah serta menjadi referensi bagi investor dan pembuat kebijakan dalam merumuskan strategi investasi yang berkelanjutan. Kata kunci: Net foreign, capital flow, kurs, inflasi, Jakarta Islamic Index.

Klasterisasi Sekolah Menggunakan Algoritma K-Means berdasarkan Fasilitas, Pendidik, dan Tenaga Pendidik Nurahman Nurahman; Agung Purwanto; Sigit Mulyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1411

Fasilitas pendidikan merupakan salah satu indikator untuk tercapainya capaian pembelajaran di sekolah. Keberadaan fasilitas, guru, dan tenaga pendidik sangat dibutuhkan pada lingkungan sekolah. Untuk memudahkan pemerintah setempat dalam penanganan pemerataan kebutuhan sekolah, maka diperlukan pengklasteran atau pengelompokan sekolah. Tujuan dari penelitian ini adalah membantu pihak pemerintah dalam mengklaster sekolah tertentu menjadi beberapa cluster, sehingga memudahkan untuk melakukan pendampingan maupun pengadaan kebutuhan sekolah dilingkungan pemerintah Kabupaten Seruyan. Klasterisasi dilakukan dengan menggunakan algoritma K-Means. Penerapan Algoritma K-Means dengan menentukan nilai Cluster yaitu 3. Hasil penelitian menunjukan bahwa setiap Cluster memiliki jumlah keanggotaannya masing-masing. Pada Cluster0 terdiri dari 178 sekolah, Cluster1 terdiri dari 3 sekolah, dan Cluster2 terdiri dari 43 sekolah. Kemudian hasil pemeringkatan Cluster secara berurutan diperoleh dari Cluster1, Cluster0, dan terakhir adalah Cluster2. Selanjutnya dalam pengujian performance algoritma K-Means dengan membagi menjadi 3 Cluster diperoleh nilai Davies Bouldin Index senilai -0,695. Dari hasil pegolahan dan analisis data terdapat 43 sekolah dalam cluster rendah, sehingga penelitian ini merekomendasikan perlu dilakukan pendampingan dan pengadaan kebutuhan sekolah terhadap sekolah cluster rendah oleh dinas pendidikan pada pemerintah kabupaten Seruyan.

Sentiment Classification of Livin’ by Mandiri Reviews in Indonesia Using LSTM for Digital Banking Service Improvement Mulyanto, Sigit; Yonia, Dwika Lovitasari; Situmorang, Kheylina Lidya; Sutejo, Bambang
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 1 (2025): AGUSTUS
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i1.1011

The rapid expansion of digital banking services in Indonesia has increased the need for continuous monitoring of user satisfaction, particularly through feedback submitted via app reviews. This study analyses user sentiment toward the Livin’ by Mandiri mobile banking application using a deep learning approach. A total of 5,000 user reviews were collected exclusively from the Google Play Store and pre-processed through text cleaning steps such as slang normalization, stemming, and tokenization. Sentiment labels (positive, neutral, negative) were assigned using an Indonesian lexicon-based method, and a Long Short-Term Memory (LSTM) model was trained and evaluated with accuracy, precision, recall, and F1-score metrics. Results indicate negative sentiment dominates (37.6%), with frequent complaints about login failures and slow performance, while the LSTM model achieved 98% accuracy. This study is limited by its single-platform data source, potential linguistic bias in Indonesian user reviews, and the model’s limitations in detecting sarcasm or complex emotions. Nonetheless, the findings demonstrate the applicability of sentiment analysis as a real-time monitoring tool to support feature enhancement and user experience improvements in Indonesian mobile banking services.

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