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Journal of Information System, Applied, Management, Accounting and Research
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta
ISSN : 25988700     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
JISIMAR (Journal of Information System, Applied, Management, Accounting and Research), terbit empat kali setahun pada bulan Februari, Mei, Agustus dan November, memuat naskah hasil pemikiran dan hasil penelitian di bidang Teknologi Informasi, Sistem Informasi, Sistem Informasi Manajemen, Sistem Informasi Akuntansi, Ilmu Manajemen dan Manajemen Terapan, Manajemen Sumber Daya, Sistem Manajemen Enterprise, Akuntansi.
Arjuna Subject : -
Articles 668 Documents
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Sistem Prediksi Hasil Produksi Tikus Putih Dengan Algoritma Forecasting Regresi Berganda (Studi Kasus: Rasa Farm) Pratama, Moch Frendika; Supriadi, Irwin; Abadi, Iwan
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 3 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i3.1849

Abstract

White rat farming has an important role in scientific research and the pharmaceutical industry. However, promising to predict white rat populations each harvest cycle is often a challenge for breeders. This research aims to design and implement a prediction system for white rat production at Rasa Farm using a multiple regression forecasting algorithm. This method was chosen because it is able to analyze the relationship between independent variables and dependent variables in predicting white rat populations.This system was developed on a web basis to make it easier for breeders to upload data, analyze information and get population predictions automatically. The data used includes main factors such as the number of male and female broodstock, mortality rates, daily feed consumption, and environmental temperature. The test results show that the multiple regression algorithm is able to provide fairly accurate estimates with a low error rate (MAPE).This system is expected to help farmers in planning production, optimizing resources, and increasing efficiency in managing white rat farms. For further development, the integration of IoT technology and more complex machine learning methods can be applied to increase prediction accuracy. Keywords:Production prediction, white mice, multiple regression, forecasting, web-based system
Model Prediksi Harga Saham BJBR Menggunakan Long Short-Term Memory (LSTM) untuk Mendukung Keputusan Investasi Susanti, Sussy; Kuraesin, Aneu
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 3 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i3.2047

Abstract

Stocks are one of the most popular investment instruments among the public due to their potential for long-term returns through price appreciation and dividend distributions; however, stock price movements are heavily influenced by various factors such as macroeconomic conditions, market sentiment, and corporate actions, making accurate forecasting essential for investors to minimize risk and maximize profit. PT Bank BJB Tbk (ticker code: BJBR), a major bank in Indonesia that operates both conventional and Sharia-based services, has shown high volatility over the past few. Therefore, this research aims to develop a stock price prediction model for BJBR using the Long Short-Term Memory (LSTM) approach, a variant of Recurrent Neural Networks (RNN) well-suited for time series data. Historical closing price data from January 2020 to June 2025 were collected, preprocessed through normalization, dataset division, and transformation into supervised learning format, and then used to train an LSTM model with a two-layer architecture and dropout layers to prevent overfitting. The model was trained using the Adam optimizer and evaluated using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared (R²). Evaluation results showed that the model achieved a high level of accuracy, with an R² value of 0.9643 on the test data, while visualizations of predicted versus actual prices demonstrated a strong alignment, proving that the LSTM model is effective in capturing temporal patterns in financial time series data and can serve as a valuable tool for data-driven investment decision-making.
Penerapan Algoritma K-Nearest Neighbor untuk Prediksi Kelulusan Siswa di SD Negeri 1 Kedungsari Affikri, Muhammad; Aruan, Meri Chrismes; Irsan, Muhamad
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2065

Abstract

Student graduation is an important indicator in measuring the effectiveness of the learning process and the success of educational institutions. Low graduation rates can be influenced by various factors, such as academic grades, attendance, and other factors. Using the K-Nearest Neighbor algorithm method, the distance between training data attributes and new input data attributes will be predicted using the Euclidean Distance calculation. Graduation factors considered include grades, attendance, extracurricular activities, attitudes, achievements, and parental education. The results of the study show that the program produces a prediction system with maximum accuracy. However, there are still several program shortcomings that need to be improved, such as increasing the amount of data and also considering the influence of other factors.
NyokJar: Layanan Konsultasi Akademik Digital untuk Mahasiswa Teknologi Informasi Kurniawan, Dadang; Daniel Tanebeth, Riki; Mudin, Imam; Falgenti, Kursehi
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.1995

Abstract

Thesis writing is a crucial component of higher education and a graduation requirement for students. However, many students, particularly those in Information Technology and Information Systems programs, face significant challenges during the thesis process. Common problems include difficulties in selecting research topics, limited understanding of research methodologies, lack of technical skills in system development, and restricted consultation time with academic advisors. In response to these issues, a digital academic consultation platform called NyokJar – Nyok Jalani Skripsi Bareng! was designed and implemented to assist students in completing their theses more efficiently and ethically. This platform was developed using the Waterfall model, which includes the stages of requirement analysis, system design, implementation, testing, and maintenance. The system was built using web technologies such as HTML, CSS, JavaScript, and PHP, and integrated with WhatsApp to enable real-time communication between students and consultants. The system was tested using Black Box Testing, focusing on system functionality from the user's perspective. Test results showed that all major features functioned correctly, and feedback from early users indicated a high level of satisfaction regarding accessibility and ease of use. NyokJar successfully addresses students’ academic and technical needs in thesis completion while upholding academic integrity. With further development, including features such as user login, progress tracking, and digital payment integration, NyokJar has strong potential to evolve into a scalable educational technology (edutech) service that supports academic processes digitally across educational institutions.
KLASTERISASI PELANGGAN BERDASARKAN PERILAKU KONSUMEN MENGUNAKAN K-MEANS Kumalasari, Jefina Tri; Merdekawati, Agustiena
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2124

Abstract

Mengelola loyalitas pelanggan dan menjangkau pembeli merupakan tantangan terbesar yang dihadapi industri retail. Segmentasi atau pengelompokan pelanggan merupakan strategi yang dilakukan dengan memisahkan pelanggan ke dalam beberapa kelompok berdasarkan perbedaan karakteristik, perilaku, maupun kebutuhan mereka. Pembagian ini bertujuan membantu pebisnis guna memenuhi kebutuhan mereka dengan mengoptimalkan layanan dan produk. Metode Clustering digunakan untuk mengidentifikasi beberapa segmen pelanggan. Berdasarkan hasil pengujian maka terlihat pada jumlah cluster optimal adalah K = 3 karena memiliki nilai tertinggi yaitu 0.33861316, hal ini didukung setalah dilakukan pengujian elbow methode. Penerapan Algoritma K-Means dalam mengkluster perilaku pelanggan memberikan wawasan mengenai variasi pola pembelian di antara pelanggan. Hasil ini dapat digunakan untuk mengembangkan strategi bisnis yang lebih terarah dan efektif. Namun, kondisi ekonomi dan faktor gaya hidup turut memberi pengaruh besar sehingga pola pengeluaran dalam populasi sangat bervariasi.
Analisis UI/UX pada Website POJOK UKM DPMPTSP Kabupaten Karawang Dengan Metode Design Thinking Sihombing, Andrian Nahot; Ariani, Fattya
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2099

Abstract

Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Karawang merupakan institusi pemerintah daerah yang memiliki mandat strategis dalam pengelolaan sektor penanaman modal serta pemberdayaan pelaku Usaha Mikro, Kecil, dan Menengah (UMKM). Dalam rangka mendukung akselerasi pertumbuhan ekonomi lokal dan meningkatkan sinergi kemitraan antara UMKM dan pelaku usaha, DPMPTSP menginisiasi pengembangan website POJOK UKM sebagai platform digital penyedia informasi peluang kemitraan. Meskipun telah dilakukan survei kepuasan pengguna secara umum, evaluasi mendalam mengenai aspek kegunaan (usability) dan pengalaman pengguna (user experience) terhadap sistem informasi ini belum pernah dilakukan secara sistematis. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi kualitas antarmuka pengguna (User Interface/UI) dan tingkat kegunaan (User Experience/UX) dari website POJOK UKM dengan pendekatan Design Thinking serta menggunakan System Usability Scale (SUS). Pengumpulan data untuk analisis UI dilakukan melalui wawancara mendalam terhadap sepuluh partisipan yang terdiri atas pengguna dan staf internal DPMPTSP. Adapun data UX dikumpulkan melalui penyebaran kuisioner online kepada pengguna aktif website. Berdasarkan hasil analisis kuisioner SUS, website POJOK UKM berada pada kategori tingkat kegunaan sedang (moderate usability). Meski demikian, sebagian besar responden menyampaikan tanggapan positif terkait performa sistem dan tampilan antarmuka website. Hasil temuan ini diharapkan dapat menjadi dasar pengembangan lanjutan guna meningkatkan efektivitas layanan digital DPMPTSP dalam menjawab kebutuhan masyarakat dan pelaku UMKM di Kabupaten Karawang.
MEASURING THE GOVERNANCE CAPABILITY OF THE BYOND BY BSI APPLICATION USING COBIT 2019: FOCUSING ON THE DSS02 DOMAIN FOR STRENGTHENING MANAGEMENT INFORMATION SYSTEMS Rosid, Achmat; Lailiya, Nurul; Shina, Muchammad Yusril Ibnu
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2058

Abstract

Digital technology has rapidly developed over time, particularly in the banking sector. A concrete example of this development is the emergence of mobile banking (m-banking) services. BYOND by BSI is a new m-banking application owned by Bank Syariah Indonesia, whose number of users continues to grow. Therefore, Bank BSI needs to improve the quality of its services to meet customer needs and expectations. In addition, within the context of digital business, the presence of Management Information Systems (MIS) plays a crucial role as it integrates data, facilitates decision-making processes, and supports technology-based service strategies to become more effective and efficient. This study aims to measure the capability level of the BYOND by BSI application using the COBIT 2019 framework, focusing on the DSS02 domain (Manage service requests and incidents). Data collection was carried out through questionnaires distributed to 100 respondents. The results show that the average capability level of the DSS02 domain is 3.64, which is at level 4 (Quantitative Process). Nevertheless, improvements are still needed, particularly in problem resolution and data security protection, so that the application services can be further optimized to support Bank Syariah Indonesia’s digital business.. Keywords: management information systems, capability, byond by bsi, cobit 2019
PERAN KECERDASAN BUATAN DALAM MENDORONG DIGITALISASI UMKM DI DKI JAKARTA Yulianto, Akmal Budi
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2139

Abstract

Penelitian ini bertujuan untuk menganalisis peran kecerdasan buatan (AI) dalam mendorong digitalisasi UMKM di DKI Jakarta. UMKM memiliki kontribusi signifikan terhadap perekonomian nasional, menyumbang 61% terhadap PDB Indonesia dan menyerap lebih dari 117 juta tenaga kerja. Namun, adopsi digital masih menghadapi tantangan besar. Data dari BPS, Kemenkop UKM, Kominfo, KI DKI, dan Dinas PPUKM DKI Jakarta menunjukkan tren peningkatan jumlah UMKM yang memanfaatkan teknologi digital, meskipun masih relatif rendah. AI berpotensi besar membantu UMKM dalam desain produk, analisis pasar, segmentasi konsumen, serta menjaga mutu produk agar dapat bersaing di pasar global. Benchmarking dengan Tiongkok, Korea Selatan, dan Singapura menunjukkan bahwa penerapan AI dapat mempercepat transformasi digital UMKM. Penelitian ini menekankan perlunya sinergi pemerintah, akademisi, dan swasta untuk menciptakan ekosistem UMKM berbasis AI yang berdaya saing.
PENGARUH UMUR PERUSAHAAN, KEPEMILIKAN INSTITUSIONAL, UKURAN PERUSAHAAN, UKURAN KAP TERHADAP AUDIT REPORT LAG PADA PERUSAHAAN KONSUMEN (MAKANAN DAN MINUMAN) YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2023-2024 Kusumawardhany, Susi Sih
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2116

Abstract

Penelitian ini bertujuan untuk menguji pengaruh umur perusahaan, kepemilikan institusional, ukuran perusahaan, dan ukuran Kantor Akuntan Publik (KAP) terhadap audit report lag pada perusahaan yang terdaftar di Bursa Efek Indonesia. Audit report lag merupakan selisih waktu antara tanggal tutup buku perusahaan dan tanggal diterbitkannya laporan audit, yang mencerminkan ketepatan waktu penyampaian informasi keuangan kepada publik. Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder yang diperoleh dari laporan tahunan perusahaan Konsumen (Makanan dann Minuman) yang terdaftar di Bursa Efek Indonesia (BEI) periode 2023-2024. Sampel dipilih menggunakan metode purposive sampling dan dianalisis dengan regresi linier berganda. Hasil penelitian menunjukkan bahwa umur perusahaan dan ukuran perusahaan berpengaruh signifikan terhadap audit report lag, yang berarti semakin tua dan besar suatu perusahaan, maka semakin cepat proses penyelesaian audit. Kepemilikan institusional tidak berpengaruh terhadap audit report lag. Sementara itu, ukuran KAP berpengaruh signifikan, yang artinya bahwa perusahaan yang diaudit oleh KAP besar cenderung menyelesaikan audit lebih cepat.
PENGARUH PERSEDIAAN, PERPUTARAN PIUTANG DAN PERPUTARAN PERSEDIAAN TERHADAP LABA BERSIH PADA PERUSAHAAN SUB SEKTOR INDUSTRIAL GOOD YANG TERDAFTAR DI BEI PERIODE 2021-2023 Paeng, Raju; Ferdinandus, Stenly Jacobus; Soukotta, Agnes
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2069

Abstract

Dalam menghadapi persaingan industri yang semakin ketat, perusahaan dituntut mengelola aset lancar secara efektif untuk meningkatkan laba bersih. Penelitian ini mengkaji pengaruh persediaan, perputaran piutang, dan perputaran persediaan terhadap laba bersih, baik secara parsial maupun simultan. Objek penelitian adalah perusahaan sub sektor Industrial Goods yang terdaftar di Bursa Efek Indonesia (BEI) periode 2021–2023. Pendekatan kuantitatif digunakan dengan analisis regresi data panel, data sekunder diambil dari laporan keuangan tahunan BEI. Sampel sebanyak 15 perusahaan dipilih menggunakan purposive sampling dari populasi 40 perusahaan. Analisis data dilakukan menggunakan EViews 12. Hasil uji t menunjukkan persediaan (X1) dan perputaran persediaan (X3) berpengaruh positif dan signifikan terhadap laba bersih, dengan nilai t-hitung masing-masing 8,35 dan 2,87, lebih besar dari t-tabel 1,68, serta signifikansi di bawah 0,05. Sebaliknya, perputaran piutang (X2) menunjukkan pengaruh negatif dan tidak signifikan, dengan t-hitung -0,82 dan signifikansi 0,413. Uji F memperlihatkan ketiga variabel secara simultan memiliki pengaruh positif signifikan terhadap laba bersih (F-hitung 34,41 > F-tabel 2,83; signifikansi 0,000). Nilai Adjusted R² sebesar 0,69 mengindikasikan 69% variasi laba bersih dapat dijelaskan oleh variabel independen. Disarankan agar perusahaan mengoptimalkan pengelolaan persediaan melalui sistem ERP atau manajemen rantai pasok, mempercepat perputaran persediaan untuk efisiensi biaya, dan memperketat pengelolaan piutang guna menjaga likuiditas serta meningkatkan laba.

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