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Journal : International Journal of Computer Science and Information Technology

VEHICLE VOLUME FORECASTING SYSTEM ON TOLL ROADS USING DOUBLE MOVING AVERAGE AND DOUBLE EXPONENTIAL SMOOTHING METHODS: CASE STUDY AT JASAMARGA PANDAAN TOLL ROAD Mesach Habel Wiyono Pranataningtyas; Yosep Agus Pranoto; Deddy Rudhistiar
International Journal of Computer Science and Information Technology Vol. 1 No. 1 (2024): IJCOMIT Vol 1 No 1
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v1i1.6722

Abstract

Forecasting or forecasting has been used as one of the considerations, especially in the field of business and economics. This is done so that company losses can be minimized and company profits can be maximized. Therefore we need a system that can make it easier to get accurate forecasting results. However, in real cases procurement of IT consultants requires quite expensive costs. So the research provides a solution to design a website-based vehicle volume forecasting system on toll roads conducted at PT. Jasamarga Pandaan Tol. This system is expected to facilitate the Traffic Collection team in projecting the volume of vehicles on toll roads in the future. The method used in forecasting vehicle volume is the Double Moving Average and Double Exponential Smoothing methods. The Double Moving Average method is a time series method where the results of this method are influenced by the order or time period. The Exponential Smoothing method is a time series method where the results of this method are influenced by the alpha parameter. The results of these two methods will be compared based on the accuracy of the data so that the user can easily see the results of forecasting vehicle volume in the future. Mean Absolute Percentage Error (MAPE) is the absolute (absolute) average percentage error. Definition of Mean Absolute Percentage Error is a statistical measurement of the accuracy of estimates (predictions) in forecasting methods. The results of the accuracy of applying the Double Moving Average method give an average MAPE value of 30,124% and the Double Exponential Smoothing method gives an average MAPE value of 5,368%.
STOCK PRICE PREDICTION FOR BANK SYARIAH INDONESIA USING BIDIRECTIONAL LONG SHORT-TERM MEMORY (BI-LSTM) Deddy Rudhistiar; Muhammad Hasan Wahyudi; Widhy Wahyani; Thesa Adi Saputra Yusri
International Journal of Computer Science and Information Technology Vol. 1 No. 2 (2024): IJCOMIT Vol 1 No 2
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v1i2.12320

Abstract

The evolution of global financial markets has heightened the demand for accurate stock price prediction methods, particularly in the Islamic banking sector, which operates under unique principles of Sharia compliance. This study aims to predict the stock prices of Bank Syariah Indonesia (BSI) using a Bidirectional Long Short-Term Memory (Bi-LSTM) model. The dataset comprises daily closing prices from January 2022 to June 2024. The model is optimized through systematic hyperparameter tuning, including configurations for the number of layers, neurons, batch size, learning rate, and optimizers. Evaluation using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) identifies the Adam optimizer with a learning rate of 0.001 and batch size of 16 as the optimal configuration. The results highlight that while increasing the number of neurons or layers reduces minimum error, it increases model instability. This research provides novel insights into the application of Bi-LSTM for predicting Islamic banking stock prices, supporting data-driven decision-making in the Islamic financial sector.
DEVELOPMENT OF A WEB-BASED REGISTRATION SYSTEM AT THE TUNJUNGSEKAR SUBDISTRICT OFFICE Deddy Rudhistiar; Muhammad Hasan Wahyudi; Cornelia Luba Tara Boro; Siti Mutiara; Thesa Adi Saputra Yusri
International Journal of Computer Science and Information Technology Vol. 2 No. 1 (2025): IJCOMIT Vol 2 No 1
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v2i1.14171

Abstract

The Tunjungsekar subdistrict office regularly organizes various activities involving local participants. Currently, the registration process is conducted using Google Forms, which, while facilitating data collection, presents challenges such as duplicate registrations and difficulties in managing participant quotas. Additionally, participant data processing and activity summaries are still handled manually, reducing administrative efficiency. To address these issues, a web-based registration system was developed using PHP with the Laravel framework and a MySQL database. This system enables automatic validation to prevent duplicate registrations and allows for more effective participant quota management. Blackbox taesting shows that the system works, the system functions properly without significant bugs or errors. With this system, activity data management becomes more structured, participant records are more accurate, and administrative processes are more efficient. The implementation of this system is expected to support the digitalization of community services and enhance the community’s experience in accessing information and services more practically and systematically
Co-Authors Adzdziqri, Tareh Rozzaq Agung Panji Sasmito Agung Prasetyo, Yudha AHMAD FAISOL Ahmad Rizky Ramadani Amar Rizqi Afdholy Amar Rizqi Afdholy Anang Ansyori Annisa Yuniar Ardian Arya Putra, Rio Aria Pramudia Eka Sakti Arya Wardhana, Rama Asmoro, Wahyu Panji B, Diah Wilis L. Bangko, Yohanes Yudha Saputra Bhakti Widiatama, Manggala Boro, Cornelia Luba Tara Cornelia Luba Tara Boro Danar Pratiyksa, I Made Dedy Irawan, Josep Deviany Kartika Diah Wilis Lestarining Basuki Dwi Agustina, Fransisca Dwi Fathur Rohman, Agung Dwi Yulianto, Afri Edwin Tjahjadi, Martinus Eka Budiani, Renata Emmalia Adriantantri Enusjaya Putra, Arga Erlangga Prasetya, Imam Erwinda, Gesha Warilotte F.X Ari Wibisono Fahrudi Setiawan, Ahmad Fatchurrozi, Muhammad Fauzan Nashir, Muhamad Febriana Santi Wahyuni Firmansyah, Syafril Fransisca Dwi Agustina Garinanto, Budi Ghifari, Moch Azhar Al Gunawan, Rakhmat Dedi Habib Asiddiqie, Prananda Hadi Surya Wibawanto Sunarwadi Halizah, Nurul Hani Zulfia Zahro Hery Purwanto Himawan Subiyanto, Krishna Ida Bagus Suardika Imelda Febrianti Irma Sari, Ramandani Izmi Apriosa, Silvia Karina Auliasari Kartiko Ardi Widodo Khanan Alqutbhi, Latief Kurniawan, William Lalo Nusa, Faustino Listyani Kartika, Angelina M. Ibrahim Ashari Manusiwa, Mizaell Martinus Edwin Tjahjadi Mesach Habel Wiyono Pranataningtyas Mira Orisa Mochammad Ibrahim Ashari monika putri, hemanulisa Muhammad Fajar Fazriyana Muhammad Hasan Wahyudi Muhammad Nur Arifin Nanang Utomo, Mochammad Ni Putu Agustini Ni Putu Agustini Nisyasalsabila Putri, Khoyru Nugi Ferdiyanto, Elan Nurlaily Vendyansyah Nurul Alifia, Anisa Paryanto, Lukas Patricia Evericho Mountaines Peniel Immanuel Gultom Peterson Tho, Sandhy Pitriya Rizki, Ani Pranata, Krish Prasetyo Nugroho, Bagas Prayoga, Andrian Prio Utomo, Yandi Putri Kartikasari, Yolanda Aprilia Putu Agustini, Ni Ramadhan, Zulfaiz RAMADHANI, RONI Rangga Saputra, Aulya Ratnasari, Andika Putri Reiny Ditta Myrtanti Reiny Ditta Myrtanti Reiny Myrtanti Renaldi Primaswara Prasetya Reynaldi Prayoga, Thomas Rezky Ramadhan, Bayu Rian Setya Budi Riska Amalia Praptiwi Rizky Firdaus, Muhammad Rizky Prayudhi, Bimo Ryo Cahyo Prakoso Salsabil Haq, Mustaqdimin Satrio, Imam Sentot Achmadi Shabrina Dwiputri Siti Mutiara suaidah suaidah Sujianto Suliati Suliati Suryo Adi Wibowo Thesa Adi Saputra Yusri Wahyani , Widhy Widhy Wahyani Widhy Wahyani Willyam Saputra, Leonardo Wiradi Surya, Rachmat Xavier Ariwibisono, Fransiscus Yohanes Oraplean, Cavin Yosep Agus Pranoto Yosep Agus Pranoto Yusri, Thesa Adi Saputra Zakaria Rifqi Azib, Muhammad Zulfia Zahro’, Hani