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All Journal TEKNIK INFORMATIKA Bulletin of Electrical Engineering and Informatics Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Phenomenon : Jurnal Pendidikan MIPA Journal of Teaching and Learning Physics JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH Jurnal Mirai Management HISTOGRAM: Jurnal Pendidikan Matematika Jurnal Ilmiah Peuradeun JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal IPA Terpadu Indikator: Jurnal Ilmiah Manajemen & Bisnis JURNAL SERAMBI ILMU Seminar Nasional FISIP Unila JURNAL PENDIDIKAN TAMBUSAI Educate : Jurnal Teknologi Pendidikan JURNAL SYARIKAH : JURNAL EKONOMI ISLAM MAJU : Jurnal Ilmiah Pendidikan Matematika JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Jurnal Kesehatan International Journal for Educational and Vocational Studies Jurnal Ilmiah Manajemen Kesatuan FOSTER: Journal of English Language Teaching Jurnal Ilmiah Pendidikan Anak (JIPA) Jurnal Pengabdian kepada Masyarakat Nusantara Ideguru: Jurnal Karya Ilmiah Guru Economics and Digital Business Review Journal Economy And Currency Study (JECS) Journal of Economics and Business UBS Mosharafa: Jurnal Pendidikan Matematika Nusantara Hasana Journal Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat International Journal of Education, Social Studies, And Management (IJESSM) Indonesian Journal of Informatic Research and Software Engineering Devotion: Journal Corner of Community Service Jurnal Pepadu PERISAI: Pendidikan dan Riset Ilmu Sains JEC (Jurnal Edukasi Cendekia) Media Ilmiah Kesehatan Indonesia The Journal of Business and Management Research Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Cakrawala: Jurnal Ekonomi, Manajemen dan Bisnis Jurnal Perikanan TANJAK : Jurnal Pengabdian Kepada Masyarakat Jurnal Info Kesehatan Midwifery Journal Preventif : Jurnal Kesehatan Masyarakat
Roslina Roslina, Roslina
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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
PENGARUH PENERAPAN PENGENDALIAN INTERNAL DAN PENERAPAN TEKNOLOGI INFORMASI TERHADAP KETERBUKAAN LAPORAN KEUANGAN PADA PT BANK SUMUT Siregar, Arninda Sekar Sari; Nurlinda, Nurlinda; Roslina, Roslina
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3886

Abstract

Abstract: This study aims to empirically prove the influence of internal control policies and the application of information technology on the transparency of financial reports at PT Bank Sumut. The data collection technique used in this study is using a questionnaire. The questionnaire was given to employees and customers of PT Bank Sumut via Google Form. The data analysis used in this study is a quantitative analysis technique using statistical analysis tools, namely using Smart Partial Least Square software. The results of this study indicate that the coefficient values of the internal control policy variables and the application of information technology have an effect on the transparency of financial reports at PT Bank Sumut. Keywords: Implementation of Internal Control, Application of Technology Information, Openness of Finacial Reports Abstrak: Penelitian ini bertujuan untuk membuktikan secara empiris pengaruh penerapan pengendalian internal dan penerapan teknologi informasi terhadap keterbukaan laporan keuangan pada PT Bank Sumut. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah menggunakan kuesioner atau angket. Kuesioner diberikan kepada pegawai dan nasabah PT Bank Sumut melalui google form. Analisis data yang digunakan dalam penelitian ini adalah teknik analisis kuantitatif dengan menggunakan alat bantu analisis statistik yaitu menggunakan software Smart Partial Least Square. Hasil penelitian ini menunjukkan bahwa nilai koefisien variabel penerapan pengendalian internal dan penerapan teknologi informasi berpengaruh terhadap keterbukaan laporan keuangan pada PT Bank Sumut. Kata kunci: Penerapan Pengendalian Internal, Penerapan Teknologi Informasi,  Keterbukaan Laporan Keuangan
PREDIKSI PENJUALAN SUPERMARKET MENGGUNAKAN JARINGAN SYARAF TIRUAN LONG SHORT-TERM MEMORY (LSTM) Rambe, Lima Hartimar; Manza, Yuke; Siregar, Kiki Putri Ani; Roslina, Roslina
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5807

Abstract

Abstract: Sales forecasting is a crucial aspect of supermarket operations, as it supports inventory management, production planning, and strategic decision-making. Sales data typically exhibit complex patterns such as trends, seasonality, and fluctuations, requiring modeling methods capable of handling nonlinear time-series characteristics. This study employs the Long Short-Term Memory (LSTM) model, an advanced form of Recurrent Neural Network (RNN) designed to capture long-term dependencies and overcome the vanishing gradient problem. The secondary dataset was obtained from the Kaggle platform, consisting of 20 features and a total of 1,000 records. The LSTM model was constructed using 50 neurons in the LSTM layer and a single dense output layer. Training was conducted for 100 epochs using the Adam optimizer and Mean Squared Error (MSE) as the loss function. The training process showed a consistent decrease in loss, reaching approximately 0.0193, while evaluation using Root Mean Squared Error (RMSE) indicated that the model effectively learned historical patterns. Visualization of predictions on the test dataset demonstrated that the model successfully followed sales trends, although it was less responsive to extreme fluctuations. Overall, the LSTM model proved effective for daily sales forecasting and can serve as a valuable tool for operational planning in supermarkets. Keywords: LSTM, Sales Forecasting, Time Series, Deep Learning, RMSE, Supermarket. Abstrak: Peramalan penjualan merupakan aspek penting dalam operasional supermarket karena berperan besar dalam pengelolaan inventaris, perencanaan produksi, serta pengambilan keputusan strategis. Data penjualan umumnya memiliki pola tren, musiman, dan fluktuasi yang kompleks sehingga memerlukan metode pemodelan yang mampu menangani karakteristik deret waktu nonlinear. Penelitian ini menggunakan model Long Short-Term Memory (LSTM), sebuah pengembangan Recurrent Neural Network (RNN) yang efektif dalam menangkap dependensi jangka panjang dan mengatasi masalah vanishing gradient. Data sekunder diperoleh dari platform Kaggle dengan 20 fitur dan total 1.000 record. Model LSTM dibangun menggunakan 50 unit neuron pada lapisan LSTM dan satu lapisan dense sebagai output. Model dilatih selama 100 epoch menggunakan optimizer Adam dan fungsi loss MSE. Hasil pelatihan menunjukkan penurunan loss yang stabil hingga mencapai nilai sekitar 0,0193, sedangkan evaluasi menggunakan Root Mean Squared Error (RMSE) menunjukkan bahwa model mampu mempelajari pola historis dengan baik. Visualisasi prediksi pada data pengujian memperlihatkan bahwa model mampu mengikuti tren pergerakan penjualan meskipun masih kurang responsif terhadap fluktuasi ekstrem. Secara keseluruhan, model LSTM terbukti efektif dalam memprediksi penjualan harian dan dapat digunakan sebagai dasar pengambilan keputusan dalam perencanaan operasional supermarket. Kata kunci: LSTM, Peramalan Penjualan, Deret Waktu, Deep Learning, RMSE, Supermarket.
Co-Authors . Elvitriana AA Sudharmawan, AA Abdul Azis Abdul Rasyid Adiwijaya, Cakra Afadil Agus Wahyuni, Agus Wahyuni Agustini, Putri Ayu Ali, Marzuki Made Almukarramah, Almukarramah Aminuyati Amrina Octaviana Andalia, Nurlena Angeli, Visca Pasha Anriza Witi Nasution ARDIYANTI, YUNI Arifin, Moh. Zainal Armi, Armi Asih, Yusari Ayu Adhita Damayanti Azzahra, Afifah Bakti Viyata Sundawa Berliana, Eva Binti Abdul Rahman, Rahimah Bt Mohamad Zain, Jasni Burhanuddin AG Burhanuddin Burhanuddin citra, Citra Cut Morina Zubainur Cut Nurul Fahmi Dalimunthe, Yulia Agustina Desi Sri Pasca Sari Sembiring, Desi Sri Pasca Sari Dwi Asri Siti Ambarwati Dwi Indah Putrianingsih, Dwi Indah Elvaretta, Devina Evi Apriana Fahlepi, Muhammad Iqbal Fajar, Rahmat Fitria, Suci Gandura, Nurhayati Gigentika, Soraya Hadi, Mirsal Husainah, Husainah Ika Fitria Elmeida Ilyas Ismail Iman Jauhari INDRASARI, NELLY Islamiah, Raudah Istyqomah, Ajeng Jamaludin M Sakung Jefri, Edwin Julia, Angelica Jusuf, Abdul Hafid Karimuddin, Karimuddin Karina, Luna Khairul Asri Khamidah, Yuyun Kurnia Prastyanti Latief, Syekh Adiwijaya Lestaringsih, Wiwid Andriyani Lili Tanti Lilik Hasanah Lubis, Hartati Tammamah Lukmanul Hakim Lusanto, David Mahardika Rizqi Himawan Manovri Yeni Manza, Yuke Marlina Marlina Milasari Milasari Mohamad Zain, Jasni Bt Monica Dara Delia Suja Muhamad Saleh Muhammad Ridhwan Muhammad Rusdi dan Afritha Amelia - Muhammad Sadikin Muliati Muliati, Muliati Nabila, Nuzul Nashruddin, Nashruddin Ninda Putri Nur Afni Nur Ainun Nur Ainun, Nur Ainun Nurhayati B Nurlela Nurlela Nurlinda Nurlinda, Nurlinda Nurul Husna Nuzul Inas Nabila, Nuzul Inas Otang Kurniaman Paulus Hengky Abram Pratama, Alfian Pribadi, Banu Afwan Puspitasari, Mutiara Putra, Purwa Hasan Rachmawaty Rachmawaty, Rachmawaty Rahman , Fathur Ramadhan, Riyan Rambe, Lima Hartimar Ramelan, Mudji Rachmat Rifaatul Mahmuzah Rika Rosnelly, Rika Rini Sulastri Riyanto Riyanto Rizky, Putri Nurhanida Rosmadewi, Rosmadewi Sadikin Amir Saharani, Meriska Sari Santoso, Monique Permata Sari, Wina Janustisia Siregar, Arninda Sekar Sari Siregar, Kiki Putri Ani Sri Dayati Sri Setiawati, Sri Setiawati Sudarmi Sudarmi Suherman, Herry Sulistianingrum, Lely Susi Astianti Susilawati, Susilawati Syahrizal Abbas Syarif Hidayat Nasir, Syarif Hidayat Tarmizi, Putri Teddy Surya Gunawan Unggul Wahyono Usman, Bukhari W.P, M. Firas Wanayumini Wastiani, Ima Winny Liliawati Wulansari , Dita Yeyen Putriana Yuhasriati, Yuhasriati Yulianto Suteja Yunus, Yana Amelia Yusoff, Marina Zariul Antosa