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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS Journal The Winners Al-Iqtishad : Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics) Jurnal Optimasi Sistem Industri ELINVO (Electronics, Informatics, and Vocational Education) Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Supply Chain Management
Ferry Jie, Ferry
Business IT & Logistics Unit MRIT University, Melbourne
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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Acceleration of Mega Merger of SOE Sharia Banks in Indonesia through Revitalization of Sharia Economic Law in Islamic Boarding Schools Jie, Ferry; Harisah, Harisah; Sulaiman, Zubaidi
Li Falah: Journal of Islamic Economics and Business Vol. 5 No. 2 (2020): December 2020
Publisher : Institut Agama Islam Negeri Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/lifalah.v5i2.2342

Abstract

Generally, we can see that law is all rules of behavior in norms regulating orders among societies. Likewise, sharia economic law regulates the community's policies in economic activities, and the application of this rule in Indonesia can be studied through Islamic boarding schools as a place for Islamic scientific education. The condition of this Indonesian pesantren is no longer only studying classical sciences. Accordingly, the program has become one of the instruments for accelerating the mega-merger of Islamic banks. This research used qualitative methods with data collection through interviews and direct observations. This study found that Islamic boarding schools in Indonesia have provided Islamic economic, scientific facilities, and microfinance institutions to support learning Islamic economic law and introduce knowledge.
Enhancing system integrity with Merkle tree: efficient hybrid cryptography using RSA and AES in hash chain systems Fauzi, Irza Nur; Farikhin, Farikhin; Jie, Ferry
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5679-5689

Abstract

An analysis is conducted to address the growing threats of data theft and unauthorized manipulation in digital transactions by integrating \structures within hash chain systems using hybrid cryptography techniques, specifically Rivest-Shamir-Adleman (RSA) and advanced encryption standard (AES) algorithms. This approach leverages AES for efficient symmetric data encryption and RSA for secure key exchanges, while the hash chain framework ensures that each data block is cryptographically linked to its predecessor, reinforcing system integrity. The Merkle tree structure plays a crucial role by allowing precise and rapid detection of unauthorized data changes. Empirical analyses demonstrate notable improvements in both the efficiency of cryptographic processes and the robustness of data validation, underscoring the method’s applicability in high data throughput environments such as educational institutions. This research makes a substantive contribution to information security by offering a sophisticated solution that strengthens data protection practices, ensuring greater resilience against increasingly sophisticated data threats.
Fuel Logistics Demand Forecasting Model in the Islands Region with ARIMA Approachs Suswaini, Eka; Wibowo, Mochammad Agung; Jie, Ferry
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2543

Abstract

Indonesia as an archipelago faces complex logistical challenges, especially in the distribution of fuel oil (BBM) to remote areas. This research aims to forecast fuel logistics needs in the Anambas Islands Regency using the Autoregressive Integrated Moving Average (ARIMA) method. Forecasting was carried out on three main aspects: fuel demand (Type 1 and Type 2) per sub-district, sea wave height, and number of vehicles by type. The results show that the three elements have a relatively stable pattern during the forecasting period until June 2025, with the dominant ARIMA model configurations (0,1,0) and (0,1,1). Fuel demand per sub-district shows a steady trend, sea waves are in the low to medium category, and the number of vehicles does not experience significant spikes. This stability supports efficient and predictive data-based fuel distribution planning. The research also recommends the integration of forecasting results into the development of an adaptive and sustainable decision-making system in the islands.
Co-Authors Akpolat, Hasan Armijal Caroline Chan, Caroline Daniel Alfa Puryono Dicky Fatrias Eka Suswaini Fauzi, Irza Nur Harisah, Harisah Ikhwan Arief Irish, James Juwanda, Farikhin Kaliani Sundram, Veera Pandiyan Kevin Parton, Kevin Khairman, Muhammad Mochammad Agung Wibowo Moh Ramdhan Arif Kaluku Muhammad Nadratuzzaman Hosen Mustafid Mustafid Nuryake Fajaryati Rod Cox, Rod Serli Wijaya Sharma, Deepak Stanley Utomo Lesmono Sulaiman, Zubaidi Syafaat Muhari Thomas Santoso Yuwana, Rahmat Ageng Zulfakar, Mohd Hafiz