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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia JIK Jurnal Ilmu Komputer Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IKRA-ITH Informatika : Jurnal Komputer dan Informatika Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Astonjadro AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Simtek : Jurnal Sistem Informasi dan Teknik Komputer CCIT (Creative Communication and Innovative Technology) Journal Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Jurnal penelitian jalan dan Jembatan Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
BUDI TJAHJONO
Institut Pertanian Bogor
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Churn Prediction Analysis Of Customer Ferry Operator "Batamfast" Using Machine Learn-Ing With Supervised Classification Model Pamungkas, Ryan Tri; Fatonah, Nenden Siti; Firmansyah, Gerry; Tjahjono, Budi
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1669

Abstract

BatamFast is the first ferry operator in Batam and has been serving international routes to Singapore and Malaysia since 1985. Until 2010, BatamFast was the only ferry operator in Batam. However, since 2011, competitors such as Sindo Ferry, Horizon Ferry, and Majestic have emerged, increasing competition to four ferry operators in Batam by 2024. This study aims to measure the churn rate of BatamFast customers and identify the factors causing it using machine learning prediction models such as Random Forest, XGBoost, and Gradient Boosting. In addition to churn prediction, feature importance analysis was conducted to determine the significant features influencing customer decisions. The results indicate that XGBoost is the best model compared to Random Forest and Gradient Boosting. Key factors for churn are customer category, payment method, and booking mode. These findings are expected to help BatamFast reduce churn, improve customer satisfaction, and strengthen its competitive position in the international ferry market.
Evaluation Of It System Operational Services Using The Itil Framework In The Service Desk Domain (A Case Study Of PT Erafone Dotcom) Nainggolan, Restamauli br; Tjahjono, Budi; Widodo, Agung Mulyo; Akbar , Habibullah
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51908

Abstract

PT Erafone dotcom is one of the mobile phone and tablet retailer companies in Indonesia from various well-known brands. PT Erafone dotcom uses the service desk as an after-sales support system service for customers or users in the smooth transaction process. The current problem with service desk services is the slow response to handling and resolving obstacles. Evaluation is needed to be able to improve operational services. The Information Technology Infrastructure Library (ITIL) V4 will be used to evaluate service desk services in IT Operational at PT Erafone Dotcom. The purpose of this study is to evaluate IT Support in operational services using the ITIL V4 framework with 2 practices in the domain of General Management Practice and 5 practices in the domain of Service Management Practice. The results of this study are that the level of service in IT Operational and the level of capability are at level 3 (Defined), which means that IT Operational support to users has run optimally referring to management practice procedures and response to incidents. To increase the value of IT Operational support from the maturity level to match expectations and can improve management. The recommendation for improvement is that even though it is at level 3, there is still a gap in the practices used so that it is necessary to improve the recording of incidents and problems that occur, so that they can be analyzed and identified to help handle and prevent the recurrence of incidents and problems.
Rancang Bangun Aplikasi Berbasis Android Untuk Usaha Feeding Cat Dengan Skema Diskon Menggunakan Algoritma Hungarian Sabaruddin, Satria; Tjahjono, Budi
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.14957

Abstract

Dunia teknologi semakin berkembang dan membaik. Salah satu yang paling cepat berkembang adalah Android. Selain teknologi, pesatnya pertumbuhan juga terlihat pada bidang kewirausahaan. Masalah paling umum di episodeini adalah iklan. Perubahan lingkungan yang cepat telah menyebabkan persaingan kreativitas yang ketat. Media pemasaran merupakan faktor penting yang dapat menarik pelanggan dan meningkatkan penjualan. Aplikasi seluler adalah proses yang digunakan pada perangkat seluler seperti ponsel atau PDA. Pada saat runtime, aplikasi seluler sudah tersedia atau dapat diunduh oleh pengguna, tergantung pada program perangkat lunaknya. Aplikasi makanan kucing berbasis android dengan program reduksi menggunakan metode algoritma hungarian. Metode algoritma hungarian merupakan cara yang tepat untuk menentukan harga yang paling menguntungkan bagi konsumen, sehingga konsumen dapat menikmati manfaat pemberian pakan kucing pada program ini. Skema diskon yang diimplementasikan melalui metode algoritma hungarian memastikan bahwa konsumen mendapatkan harga terbaik berdasarkan kombinasi produk yang dipilih dan waktu pembelian. Dalam aplikasi makanan kucing berbasis Android, metode SDLC akan memandu proses pengembangan aplikasi dari perencanaan, analisis, desain, implementasi, pengujian, hingga pemeliharaan. Hasil penelitian ini menunjukkan bahwa aplikasi Brand Feeding Cat berbasis Android menggunakan metode algoritma hungarian untuk menjadwalkan penjualan sehingga memungkinkan perusahaan menarik perhatian konsumen melalui aplikasi mobile. Aplikasi ini memberikan informasi yang stylish dan menarik serta memudahkan pembelian dengan harga terbaik. Kehadiran akun administrator juga memungkinkan pengelolaan organisasi lebih terorganisir dan efisien. Aplikasi berbasis Android ini memuat informasi produk yang dikemas dengan baik dan menarik sehingga memudahkan konsumen dalam mencari detail, fitur dan harga produk yang ingin dibeli.
Pengujian Keamanan Website dengan Metode Penetration Testing (Studi Kasus: Universitas Esa Unggul) Septian, Ferby; Arfian, Muhamad Hadi; Asri, Jefry Sunupurwa; Tjahjono, Budi
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15197

Abstract

Perkembangan era digital di Indonesia telah membawa manfaat dan transformasi positif, namun juga menimbulkan tantangan keamanan terkait risiko peretasan dan kebocoran data. Keamanan website menjadi sebuah komponen penting yang tidak bisa dianggap remeh, sehingga website perpustakaan Universitas Esa Unggul memerlukan perlindungan maksimal terhadap ancaman keamanan yang terus berkembang. Penelitian ini bertujuan untuk mengidentifikasi dan mengatasi risiko keamanan melalui pengujian keamanan pada website perpustakaan Universitas Esa Unggul menggunakan metode penetration testing dengan pendekatan black-box, serta memanfaatkan OWASP Top 10 2021 sebagai acuan informasi kerentanan. Pengujian keamanan website berhasil dilakukan melalui beberapa tahapan penetration testing, yaitu reconnaissance, scanning, vulnerability assessment, exploitation, dan reporting. Hasil penelitian ini menunjukkan bahwa website perpustakaan Universitas Esa Unggul memiliki kerentanan yang tercantum dalam OWASP Top 10 2021, dengan 2 jenis kerentanan berisiko tinggi yaitu broken access control dan security misconfiguration, serta 1 kerentanan berisiko rendah yaitu cryptographic failures. Berdasarkan hasil temuan tersebut, rekomendasi perbaikan yang dapat diberikan adalah dengan melakukan konfigurasi ulang terhadap akses kontrol untuk mencegah akses yang tidak sah, menambahkan secure flag pada cookie guna memperkuat enkripsi, serta menerapkan security header untuk mencegah berbagai serangan cyber. Penelitian ini diharapkan dapat meningkatkan keamanan website perpustakaan Universitas Esa Unggul, serta dapat menjadi referensi dalam melakukan pengujian kemanan.
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.
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhy, Dewanto Rosian Adigunawan, Adigunawan Aep Saepudin Ahmad Fuad Akbar , Habibullah Akbar, Habibullah Alami, Tegar Alexander Alexander, Alexander Andriana, Dian Antonius Suwanto Arfian, Muhamad Hadi Arfian, Muhammad Hadi Arniansyah, Arniansyah Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Binastya Anggara Sekti Budi Aribowo Dafa Rizqi, Herin Dermawan Zebua Dewi, Riris Septiana Sita Djunaedi, Bagas Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya Fatonah, Nenden Siti Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Firmansyah, Gerry Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hermawan, Deky Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Ipung Sutejo, Bayu Sulistiyanto Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Jabar, Ajib Abdul Jefry Sunupurwa Asri Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Juman Kusuma, Mahesa Adi Kusumah, Yayi Munara Leihitu, Donny Dwy Judianto Lisdiana Lisdiana M A Chozin Maemonah, Maemonah Malabay Malabay Malabay Martin Saputra, Martin Meiharsiwi, Ismiyati Mita, Vira Muhtadi, Yudi Muksin, Andreanata Pradifta Mulyo Widodo, Agung Munawar Munawar Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Nasihin, Anwar Natadirja, Trenggana Ningsih, Susilowati Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Qiqi Asmara, Abdullah Qur'ani, Isti Rahaman, Mosiur Rasyid, Ainur Ridwan, Ridwan Riya Widayanti Rizk, Muhamad Rohidin Rohidin, Rohidin RR. Ella Evrita Hestiandari Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Sabaruddin, Satria Saepudin Saepudin Sakron, Narul SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Siregar, Sarah Veronica Siti Fatomah, Nenden Suardana, Made Aka Sugeng Santoso Suhendar Suhendar, Suhendar Sulistyo, Catur Agus Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Ummanah Ummanah, Ummanah Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S Wisnu Ananta Kusuma Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliati -