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Risk Management Analysis On The School Activity Plan And Budget Application Information System (ARKAS) Using Cobit 2019 Fernandes Gamaliel, Adhi; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.396

Abstract

In the era of globalization and the advancement of information technology, the application of information technology is an important need for educational institutions, including schools. This research focuses on the implementation of the School Activity Plan and Budget Application Information System (ARKAS) at the Palu Safety Center Christian Vocational School to increase efficiency and effectiveness in planning and managing school activities and budgets. However, the implementation of ARKAS is inseparable from various risks that can affect the effectiveness and success of the system. Therefore, risk management analysis is essential to ensure that all potential risks can be identified, analyzed, and minimized. This study uses the COBIT 2019 framework to manage risks in the application of information technology in schools. The study identifies challenges such as resistance to change, resource limitations, and information security risks. This study aims to explore how the implementation of ARKAS in the Palu Safety Army Christian Vocational School can be optimized through risk management analysis using the COBIT 2019 framework. The results of the study show that the use of COBIT 2019 can help in identifying and managing risks effectively, so that the implementation of ARKAS can run more efficiently and transparently. The resulting recommendations are expected to improve the quality of school budget management and become a reference for other schools that face similar challenges in the application of information technology.
Comparison of Djikstra, Hybrid-PSO algorithms for optimizing the distribution route of papaya seeds and honey products (Case Study: PT. Agro Apiari Mandiri) Gunawan, Sholeh; Mulyo Widodo, Agung; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.398

Abstract

Dynamic global competencies in the industrial sector drive fierce competition in capturing markets and increasing customer satisfaction, which requires efficiency in various aspects of business including distribution. PT. Agro Apiari Mandiri faces challenges in optimizing delivery routes to avoid delays. This study aims to compare the Dijkstra and Hybrid-PSO algorithms to determine the optimal distribution route in the Bogor, West Java, and Lebak, Banten regions, in order to reduce the distance and delivery time. The research methods include literature study, data collection, and route optimization model creation. The results show that PSO is more efficient in optimizing delivery routes than other methods, with variations in PSO parameters affecting total travel time, number of vehicles, and computing time. Implementation uses hardware and software such as MSI Laptops and Matlab. In conclusion, the use of PSO in distribution route optimization makes a significant contribution to the company's cost and distribution efficiency and can be a reference for further research in distribution route optimization.
Optimization of Electronic-Based Government System Architecture (SPBE) In The Application Architecture Domain In XYZ District Lisdiana, Lisdiana; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.405

Abstract

The Electronic-Based Government System (SPBE) is a government administration that utilizes information and communication technology to provide services to SPBE Users as stipulated in Presidential Regulation No. 95 of 2018. SPBE aims to create an integrated government business process between Central Agencies and Regional Governments, form a complete government unit and produce bureaucracy and high-performance public services. To support the implementation of SPBE, the National SPBE architecture is compiled as a detailed guide that covers technical and methodological aspects, ensuring the integration of government electronic systems. This architecture provides convenience in increasing efficiency and effectiveness, as well as being a guide for SPBE governance in Central Agencies and Regional Governments. The XYZ Regency Government has implemented the SPBE architecture as the basis for implementation in its area. This study analyzes the SPBE architecture in XYZ Regency based on the National SPBE architecture to provide optimization recommendations on the application architecture domain. Despite the existence of Presidential Regulation Number 95 of 2018 and Number 132 of 2022, the preparation of government architecture in Indonesia still faces challenges due to the lack of clear guidance. More detailed references are needed as derivatives of existing regulations to ensure consistent and optimal implementation, help agencies understand and implement the SPBE architecture, so that digital transformation towards Indonesia 4.0 is achieved by 2040.
Drug Stock Optimization at Hospital Depot Using Shuffle Frog Leaping Algorithm (SFLA) Ghazalba, Annazma; Mulyo Widodo, Agung; Tjahjono, Budi; Firmansyah, Gerry
Asian Journal of Social and Humanities Vol. 2 No. 11 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i11.409

Abstract

Optimal, efficient, and accurate drug stock management at hospital depots is crucial for ensuring the smooth operation of medical and operational services. Therefore, the use of machine learning is currently essential for managing drug stocks at hospital depots more optimally. This optimization process involves stages such as data collection, data pre-processing, attribute selection, data labeling, classification algorithm selection, model training, model eval_uation, and result interpretation. The data used in this research includes information on drug stocks at hospital depots with details on drug items, quantities, prices, depot origins, demand trends, and types of transactions. The aim of using these algorithms is to classify drug stock items into categories such as "sufficient," "deficient," and "excess" based on historical data patterns and relevant attributes. Model eval_uation is carried out by comparing classification results with actual data and measuring eval_uation metrics such as accuracy, precision, recall, and F1-score. It is hoped that the classification results will indicate the need for optimization in the previously implemented algorithms and provide new solutions for managing drug stocks at hospital depots. The Shuffle Frog Leaping algorithm (SFLA) implemented will help drug stock management staff identify demand patterns more optimally, efficiently, and accurately. Thus, this research has the potential to make significant contributions to optimizing drug stock management and decision-making at hospital depots, which will also positively impact the progress of hospital services.
Comparison of SVM, KNN, and Naïve Bayes Classification Methods in Predicting Student Transfers at BK Palu School Nugraha, William; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.413

Abstract

Student transfers are a significant issue in schools and can affect the dynamics of education and student performance. This research aims to predict student transfers using a comparative analysis of three classification methods: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes. The study utilizes historical data from BK Palu School, covering the years 2022 to 2024, which includes demographic, academic, socio-economic, and student quality information. The methodology involves data collection, data preparation, algorithm selection, implementation, and evaluation of the three methods. The performance of the classification methods is assessed using metrics such as accuracy, precision, recall, and F1-score. The results indicate that SVM has the highest accuracy in predicting student transfers, followed by KNN and Naïve Bayes. This study contributes to identifying key factors influencing student transfers and offers schools a robust model to develop targeted strategies for reducing transfer rates. Ultimately, this research provides insights into optimizing student retention and improving the overall quality of education.
Enterprise Architecture Business Model Planning Using EAP Framework (Case Study: PT. Gempita Cahaya Makmur) Mutedi, Ahmad; Mulyo Widodo, Agung; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.416

Abstract

The advancement of technology in a company has an impact on improving business quality. From this observation, architectural planning is a part that is used to build alignment between business strategy and information technology. Architecture within the business domain illustrates how a company conducts business activities and functions to achieve the company's goals. Therefore, the company's business model architecture depicts the current state of architecture by identifying business needs and activities. From this study, the business role of PT. GEMPITA CAHAYA MAKMUR, a company engaged in the procurement of goods and services, especially in the field of wholesale office stationery, printing, photocopier sales, and photocopier and laptop rentals, which has customers from medium-sized companies, large companies, both private and government. The use of the Enterprise Architecture Planning or EAP framework focuses on business architecture. The purpose of this research is expected to produce a blueprint proposal that will be beneficial for PT. GEMPITA CAHAYA MAKMUR to plan the business model architecture that will become the foundation for the design phase of application architecture.
Clustering of Child Stunting Data in Tangerang Regency Using Comparison of K-Means, Hierarchical Clustering and DBSCAN Methods Azzam Robbani, Muhammad; Firmansyah, Gerry; Mulyo Widodo, Agung; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 12 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v2i12.422

Abstract

This study aims to analyze stunting in children in Tangerang Regency using clustering methods such as k-means, Hierarchical Clustering with Agglomerative Nesting, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Stunting is a significant health issue affecting child growth due to chronic malnutrition and recurrent infections. The research revealed that k-means produced the best clustering results with a Silhouette Score of 0.52, indicating its effectiveness in categorizing children based on age, nutritional status, and stunting risk. The k-means method identified three clusters: Cluster 0 (ages 46-55 months, good nutrition, no stunting), Cluster 1 (ages 9-18 months, varied nutritional status, high stunting risk), and Cluster 2 (ages 27-36 months, good nutrition, no stunting). The study suggests preventive actions such as balanced nutrition education, regular health monitoring, complete immunizations, and physical activity, alongside curative measures like nutritional consultations and supplements. The findings provide a framework for targeted preventive and curative interventions, enabling Tangerang Regency's health department to effectively address and reduce stunting rates.
Strategic Analysis of Information Technology Architecture With Pepprard and Ward Methods At PT. Bank XYZ Irsyadul Anam, Reza; Firmansyah, Gerry; Siti Fatomah, Nenden; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.437

Abstract

The rapid development of the digital era has placed Information Technology (IT) as a crucial element in the banking industry. PT. Bank XYZ aims to enhance its IT capabilities to achieve its business objectives and become one of Indonesia's top banks. In line with the regulatory requirements of POJK No. 11/POJK.03/2022, this research focuses on a strategic analysis of PT. Bank XYZ's IT architecture using the Pepprard and Ward methods, combined with Anita Cassidy’s approach. The research analyzes the current conditions of the bank’s IT architecture and external factors, employing PEST and Porter’s Five Forces methods, followed by a SWOT analysis to identify strengths, weaknesses, opportunities, and threats. From this analysis, strategic recommendations are provided to support the bank’s IT goals over a four-year period (2024-2028). The strategic plan consists of 19 key IT programs covering applications, data, and technology, aimed at enhancing customer experience, data quality, and infrastructure resilience. This roadmap will help PT. Bank XYZ improve its IT operations and align its technological advancements with its business objectives, positioning the bank for growth in the competitive banking sector. The research contributes practical insights into developing an IT strategy that complies with regulatory standards and supports long-term corporate goals.
Artificial Intelligence Robots And Revolutionizing Society In Terms Of Technology, Innovation, Work And Power Nabila, Efa Ayu; Santoso, Sugeng; Muhtadi, Yudi; Tjahjono, Budi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.526

Abstract

In what ways do recent advances in robotics and artificial intelligence signal a historic economic and social transformation? This study presents a critical assessment of the subject, critiques many of the ongoing debates of technical determinism, and reframes the issues involved within a political-economic and social framework. It focuses on technological innovation's economic, political, and historical processes and their implications for employment and financial restructuring, mediated by sovereign and discursive authorities. Several epistemological and empirical issues with a transformational viewpoint are noted, and alternative views are suggested to highlight the complexity and ambiguity surrounding current and future trends. Robotics entered when the industrial revolution had many significant changes for humans. Efficiency is increased to produce various productive things. This paper uses a literature study as a method. The results of his discussion on Revolutionizing Society In Terms Of Technology, Innovation, Work And Power of Robotics.
Workshop Pengenalan Aplikasi CPU OS Simulator untuk Penjadualan First-Come First-Served (FCFS) Agung Mulyo Widodo; Roesfiansjah Rasjidin; Muhamad Bahrul Ulum; Binastya Anggara Sekti; Nixon Erzed; Ryan Putra Laksana; Budi Tjahjono; Hendry Gunawawan
IKRA-ITH ABDIMAS Vol. 7 No. 3 (2023): Jurnal IKRAITH-ABDIMAS Vol 7 No 3 November 2023
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

CPU OS Simulator merupakan aplikasi simulator yang mendukung proses pembelajaran yang mensinergikan dari sisi perangkat keras maupun perangkat lunak. Dalam aplikasi ini terdapat modul penjadualan First Come First Serve (FCFS) merupakan algoritma penjadwalan sistem operasi yang secara otomatis mengeksekusi permintaan (request by priority) dan proses antrian sesuai urutan kedatangannya (arrival). Algoritma scheduling untuk proses (assembly dan visualisasi) dengan menggunakan CPU OS Simulator, aplikasi ini lebih mudah dioperasikan dan user-friendly bagi pengguna. Dalam algoritma jenis ini, proses yang me-request CPU terlebih dahulu mendapatkan alokasi CPU terlebih dahulu. Proses penjadualan dikelola dengan metode antrian First-In First-Out (FIFO), dalam ruang lingkup sistem operasi dengan fokus penjadualan algoritma FCFS (First Come First Serve). Metode workshop dilaksanakan secara daring menggunakan zoom cloud meeting, dengan peserta dosen yang berminat akan aplikasi tersebut dan para anak didik yang mau mengenal memahami konsep dari sistem operasi. Aplikasi CPU OS simulator merupakan salah satu aplikasi yang bersifat free-ware sehingga dapat di unduh secara gratis bagi para pengguna (dosen dan atau mahasiswa). Hasil akhir dari pelatihan bagi pengguna akan melihat dan mengerti tahapan demi tahapan dari proses intruksi hingga compile yang disajikan bentuk simulasi dan visualisasi (histogram) serta beberapa parameter dari proses tersebut (average waiting time, average burst time, tick count dan instruction count).
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhi Fernandes Gamaliel Adhy, Dewanto Rosian Adigunawan, Adigunawan Adilah Widiasti Aep Saepudin Ahmad Fuad Ahmad Mutedi Aji Setiawan Akbar, Habibullah Alami, Tegar Alex Hartana Alexander Alexander, Alexander ALINA AKHDIYA RUSMANA Alivia Yufitri AMARILA MALIK Andi Khaeruni Andi Khaeruni Andriana, Dian Angga VB Anjeli, Baby Annazma Ghazalba Antonius Suwanto Anugerah Cahyo Adhi Ardiansyah, Miri Arif Pami Setiaji Aris Tri Wahyudi Arniansyah, Arniansyah Asniwita Asniwita Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budilaksono, Sularso Dadang Hermawan Dafa Rizqi, Herin Daniel Hutajulu Dede Setiadi Dermawan Zebua Dewi Marini Dewi, Riris Septiana Sita Diah Aryani, Diah Djunaedi, Bagas Donny Dwy Judianto Leihitu Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya EDWARD ENDRIANTO Eliza S. Rusli Erry Yudhya Mulyani Euis Heryati Evans, Richard Faiz Fauzan Muhajir Fatonah, Nenden Siti Fauzia, Yunita Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Gusti Fachman Pramudi Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hemiltin Adilah Hendaryatna Hendaryatna Hendry Gunawawan Hermansyah Hermansyah Hermansyah Hermanto, Hermanto Hermawan, Deky Herwanto, Agus Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Ichwani, Arief Imam Sutanto Irawan, Bambang Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Ismiyati Meiharsiwi Jabar, Ajib Abdul Jefry Sunupurwa Asri Joniwan Joniwan Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini kartini, kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Kundang Karsono Juman Kundang Karsono Juman Kurnia, Ravie Kusuma, Mahesa Adi Kusumah, Yayi Munara Laksono Trisnantoro Leihitu, Donny Dwy Judianto Lili Hastuti Lisdar Idwan Sudirman Lisdiana Lisdiana Lisdiana Lisdiana Lista Meria Luthfie Aldino Ismail M A Chozin Maemonah, Maemonah Malabay Malabay ., Malabay Malabay Malabay Martin Saputra, Martin Marzuki Pilliang Meiharsiwi, Ismiyati Meity S. Sinaga MEITY SURADJI SINAGA Millah, Shofiyul Mita, Vira Mohammad Rizki, Visal Muhamad Bahrul Ulum Muhamad Bahrul Ulum Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Azzam Robbani Muhammad Bagaskara Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhtadi, Yudi Muksin, Andreanata Pradifta Munawar Munawar Munawar, Badri Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Narul Sakron Nasihin, Anwar Nasution, Tegar Alami Nenden Siti Fatomah Nenden Siti Fatonah Niko Prasetyawan Aji Nila Rusiardi Jayanti Nina Nurhasanah Nindyo Artha Dewantara Wardhana Ningsih, Susilowati Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Purwano SK Putra, Sipky Jaya Putra, Yosua Tri Qiqi Asmara, Abdullah Qornain, Fiqar Haytsam Muhammad Dzul Qur'ani, Isti R SITI RUKAYAH Rahaman, Mosiur Rasyid, Ainur Reza Irsyadul Anam Rian Adi Pamungkas Ridwan, Ridwan Rifqi Khairurrahman Riya Widayanti Rizk, Muhamad ROB HARLING Roesfiansjah Rasjidin Roesfiansjah Rasjidin Rohidin Rohidin, Rohidin Rosnanto, Imam RR. Ella Evrita Hestiandari Rudi Hermawan Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Rusnani * Ryan Putra Laksana Sabaruddin, Satria Sabri Alim Saepudin Saepudin Sakron, Narul Samingan Samingan Samuel Samuel SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Setiawati, Popong Shine Pintor Siolemba Patiro Sholeh Gunawan Siregar, Sarah Veronica Siti Fatomah, Nenden Sri H. Hidayat SRI HENDRASTUTI HIDAYAT Sri Husni Hidayati Suardana, Made Aka Sugeng Santoso Suhatati Tjandra Suhendar Suhendar, Suhendar Sulistyo, Catur Agus Supriyade Supriyade Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Tugiman Ummanah Ummanah, Ummanah Vivaldi Raditya Putra Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S William Nugraha Wisnu Ananta Kusuma Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliana Susanti Yuliati -