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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia Buletin Hama dan Penyakit Tumbuhan Jurnal Agrista JIK Jurnal Ilmu Komputer Microbiology Indonesia Jurnal Ilmu Komputer dan Agri-Informatika Teodolita: Media Komunikasi Ilmiah di Bidang teknik Seminar Nasional Informatika (SEMNASIF) Jurnal Perlindungan Tanaman Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Informatika Universitas Pamulang Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Jiko (Jurnal Informatika dan komputer) Astonjadro IKRA-ITH ABDIMAS AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JUTEKIN (Jurnal Manajemen Informatika) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Generation Journal Scientific Journal of Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Teknologi dan Sistem Tertanam Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Journal of Social Research Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Media Abdimas Jurnal penelitian jalan dan Jembatan Journal of Innovative and Creativity Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) IPSSJ Dinasti Information and Technology Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
Budi Tjahjono
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Planning Road Construction Based On Smart City: Challenges And Solutions Teras, Deni; Tjahjono, Budi; Ridwan, Ridwan; Saepudin, Aep; Arniansyah, Arniansyah; Leihitu, Donny Dwy Judianto; Zebua, Dermawan
Innovative Research in Civil and Environmental Engineering Vol. 1 No. 1 (2024): IRCEE - October
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/ircee.v1i1.44

Abstract

This study investigates the challenges and solutions associated with the planning and implementation of smart city-based road construction in developing countries. Utilizing a descriptive qualitative approach, the research incorporates semi-structured interviews with key stakeholders, including government officials, technology developers, and urban planners. Findings indicate that budgetary constraints, a lack of technical expertise, and outdated regulatory frameworks significantly hinder the adoption of smart technologies in road infrastructure projects. Furthermore, the study highlights the potential of public-private partnerships and data-driven decision-making as viable solutions to these challenges. The results emphasize the necessity for collaborative models and innovative funding strategies to promote the effective integration of smart technologies in road planning and construction, ultimately enhancing urban infrastructure sustainability.
Comparative Performance of Learning Methods In Stock Price Prediction Case Study: MNC Corporation Khairurrahman, Rifqi; Firmansyah, Gerry; Tjahjono, Budi; Mulyo Widodo, Agung
Asian Journal of Social and Humanities Vol. 2 No. 5 (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.v2i5.252

Abstract

Shares are a popular business investment, the development of information technology now allows everyone to buy and sell shares easily online, investment players, both retail and corporate, are trying to make predictions. The purpose of this study is to find out comparative performance of learning methods in stock price prediction. There are currently many research papers discussing stock predictions. using machine learning / deep learning / neural networks, in this research the author will compare several superior methods found in the latest paper findings, including CNN, RNN LSTM, MLP, GRU and their variants. From the 16 result relationships and patterns that occur in each variable and each variable is proven to show its respective role with its own weight, in general we will summarize the conclusions in chapter V below, but in each analysis there are secondary conclusions that we can get in detail. The variable that has the most significant effect on RMSE is variable B (repeatable data) compared to other variables because it has a difference in polarity that is so far between yes and no. The configuration of input timestep (history)=7 days and output timetep (prediction)=1 day is best for the average model in general.
Assessment of the level of student understanding in the distance learning process using Machine Learning Widiasti, Adilah; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Asian Journal of Social and Humanities Vol. 2 No. 6 (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.v2i6.272

Abstract

As technology develops, data mining technology is created which is used to analyse the level of understanding of students. This analysis is conducted to group students according to their ability to understand and master the subject matter. This research can provide guidance and insight for educators, as well as artificial intelligence, machine learning, association techniques, and classification techniques. Researchers and policymakers are working to optimise learning and improve the quality of student understanding. This study aims to analyse the level of student understanding in simple and structured terms. Using the Machine learning method to analyse the level of student understanding has the potential to impact the quality of education significantly. In addition, machine learning categories are qualified to be applied to the concept of data mining. The data mining techniques used are association and classification. Association techniques are used to determine the pattern of distance student learning. The following process of classification techniques is used to determine the variables to be used in this study using the Logistic Regression model where data that have been classified are grouped or clustered using the K-Means algorithm into three, namely the level of understanding is excellent, sound, and lacking, based on student activity, assignment scores, quiz scores, UTS scores, and UAS scores.
Analysis of Information Technology Proficiency Levels For Academic Services Using The Cobit 2019 Framework: Case Study of SMP Negeri 102 Jakarta Meiharsiwi, Ismiyati; 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.v2i12.394

Abstract

This research intends to analyze the level of capability of information technology (IT) in academic services at SMP Negeri 102 Jakarta using the COBIT 2019 framework. The background of this research is the important role of information technology in increasing the efficiency and effectiveness of the learning process in educational institutions. COBIT 2019 was chosen as a framework because it is a best practice in IT governance that can help institutions achieve their strategic goals. This research focuses on the IT governance process implemented at SMP Negeri 102 Jakarta, the maturity level of existing information system governance, and recommendations for improving IT governance. The case study method is used with limitations on the domain within Align, Place and Organize (APO) 09 dan Deliver, Service and Support (DSS) 01 the COBIT 2019 framework. Research findings show that IT governance at SMP Negeri 102 Jakarta is at a certain level of capability that needs to be improved. This research provides recommendations for improving academic services through improving IT governance. It is hoped that the results of this research can become a reference in determining IT policies at SMP Negeri 102 Jakarta and contribute to the development of knowledge in the field of information technology governance.
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.
Co-Authors A.A. Ketut Agung Cahyawan W Adhi Fernandes Gamaliel Adhy, Dewanto Rosian Adigunawan, Adigunawan Adilah Widiasti Aep Saepudin Ahmad Mutedi Aji Setiawan Akbar, Habibullah Alami, Tegar Alex Hartana Alexander Alexander, Alexander ALINA AKHDIYA RUSMANA Alivia Yufitri Andi Khaeruni Andi Khaeruni Andriana, Dian Angga VB Annazma Ghazalba Antonius Suwanto Anugerah Cahyo Adhi Ardiansyah, Miri Arif Pami Setiaji Aris Tri Wahyudi Arniansyah, Arniansyah Ary Prabowo Asmara, Qiqi Asniwita Asniwita Azzam Robbani, Muhammad Baby Anjeli Basyarewan, Humairoh Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budilaksono, Sularso Catur Agus Sulistyo Dadang Hermawan Dafa Rizqi, Herin Daniel Hutajulu Dede Setiadi Deni Teras Dermawan Zebua Dewi Irma Afriayanti Dewi Marini Diah Aryani, Diah Dian Fajar Septianto Dian Fajar Septianto 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 Farhan Mahendra Fatonah, Nenden Siti Faujiatul Aulia Fauzia, Yunita Febrianto, Haris Fernandes Gamaliel, Adhi Fiqar Haytsam Muhammad Dzul Qornain Firdaus, M. Dzulfiqar Fitriyani Fitriyani Fuad, Ahmad Gerry Firmansyah Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Gusti Fachman Pramudi Hairuduin * HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hemiltin Adilah Hendaryatna Hendaryatna Hendry Gunawawan Hermansyah Hermansyah Hermansyah Hermanto, Hermanto Hermawan, Deky Herwanto, Agus Hung Fei Ichwani, Arief Irawan, Bambang Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Ismiyati Meiharsiwi Jabar, Ajib Abdul Jauhar Maknun Adib Jefry Sunupurwa Asri Joniwan Joniwan Juliana Juliana Julianto, Eric Jumar 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 Luthfie Aldino Ismail M. A. Chozin Made Aka Suardana Maemonah, Maemonah Malabay Malabay Martin Saputra Marzuki Pilliang Meiharsiwi, Ismiyati Meity S. Sinaga MEITY SURADJI SINAGA Meria, Lista Millah, Shofiyul Mita, Vira Mohamad Farhan Almeida Muhamad Rifqi Hidayat Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Azzam Robbani Muhammad Bagaskara Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Rafli Islamy Muhtadi, Yudi Muksin, Andreanata Pradifta Munawar Munawar, Badri Mutedi, Ahmad N Nurjannah, N Nurjannah Nabila, Efa Ayu Narul Sakron Nasihin, Anwar Nasution, Tegar Alami Nenden Siti Fatomah Niko Prasetyawan Aji Nila Rusiardi Jayanti Nina Nurhasanah, Nina Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Nugraha, William Nur Huda Huda Nur Widiyasono Nur Widiyasono, Nur PURNAMA HIDAYAT Purwano SK Putra, Sipky Jaya Putra, Yosua Tri Qur'ani, Isti R SITI RUKAYAH Rafi Samir Suradijaya Rasyid, Ainur Raul Mahya Komaran Restamauli br Nainggolan Reza Irsyadul Anam Rian Adi Pamungkas Ridwan, Ridwan Rifqi Khairurrahman Riris Septiana Sita Dewi Riya Widayanti Rizk, Muhamad Roesfiansjah Rasjidin Rohidin Rohidin, Rohidin Rosnanto, Imam RR. Ella Evrita Hestiandari Rudi Hermawan Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Rusnani * Ryan Putra Laksana Ryan Tri Pamungkas Sabaruddin, Satria Sabri Alim Saepudin Saepudin Sahri Ramadan Sakron, Narul Samingan Samingan Samuel Samuel Saputra, Tino SARASWATI, RIA Sasongko Ditahismoyo Sawali Wahyu Septian, Ferby Setiawan, Sony Setiawati, Popong Shaffira Vulkanietta Lusiana Shine Pintor Siolemba Patiro Sholeh Gunawan Siregar, Sarah Veronica Siti Fatomah, Nenden Sri H. Hidayat SRI HENDRASTUTI HIDAYAT Sri Husni Hidayati Stephanie Sharapova Sihaloho Sugeng Santoso Suhatati Tjandra Supriyade Supriyade Supriyade, Supriyade Suryahim, Iim Susilowati Ningsih Sutanto, Imam Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Trenggana Natadirja Tugiman Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Visal Mohammad Rizki Vivaldi Raditya Putra Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widjonarko, Ari Widodo, Agung Mulyo Wijaya, Jacob S William Nugraha Willy Yoni Wisnu Ananta Kusuma Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliana Susanti Yuliati Yuliati