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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Indonesian Journal of Electrical Engineering and Computer Science JUSTIN (Jurnal Sistem dan Teknologi Informasi) eProceedings of Engineering Journal of Computer Engineering: Progress, Application and Technology Jurnal Abdimas
Purba Daru Kusuma
Universitas Telkom
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Pengembangan Aplikasi web untuk Pre-Processing Business Intelligence dengan Integrasi ChatGPT, dan Google OAuth 2.0 Harahap, M Yusril Fauzan; Latuconsina, Roswan; Kusuma, Purba Daru
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Abstract

Dalam era digital yang berkembang dengan pesat, kemampuan untuk mengelola dan memanfaatkan data telah menjadi salah satu faktor kunci dalam menentukan keberhasilan suatu organisasi. Aplikasi web untuk pre-processing business intelligence dikembangkan untuk mengintegrasikan teknologi kecerdasan buatan dan Google OAuth 2.0 untuk kemudahan pengguna dalam menggunakan aplikasi. Pengembangan ini melibatkan pembuatan frontend, integrasi database, serta integrasi API untuk autentikasi dan analisis data. Kata kunci— aplikasi web, API, business intelligence, database, frontend.
Pre-Processing Data Untuk Business Intelligence Menggunakan ETL dan Data Visualization Fauzan, Nadhifi Qurrunul Bahratu; Latuconsina, Roswan; Kusuma, Purba Daru
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Dalam era digital yang berkembang dengan pesat, pengelolaan data sangat penting untuk perkembangan suatu perusahaan. Dalam konteks ini, kebutuhan akan alat yang dapat mengumpulkan, menganalisis, dan mengkonversi data menjadi wawasan berharga semakin penting. Salah satu pendekatan yang efektif dalam mengatasi tuntutan ini adalah dengan menggunakan aplikasi Business Intelligence (BI). Proses analisis data seringkali memerlukan keterampilan analitik yang tinggi, data-data yang tidak terstruktur atau tidak terkelola dengan baik bisa menjadi sulit untuk dipahami serta dianalisis lebih lanjut. Keterampilan ini mungkin tidak selalu ada di setiap organisasi yang menjalankan bisnis. Tanpa alat BI yang tepat, perusahaan mungkin kesulitan dalam pengambilan keputusan berdasarkan data yang mereka miliki. Berdasarkan analisis dan pengukuran spesifikasi solusi untuk pengembangan aplikasi ETL untuk Pre-Processing Business Intelligence (BI), dapat disimpulkan bahwa aplikasi ini memiliki fokus utama pada kemampuan integrasi sumber data, ekstraksi, transformasi dan visualisasi data, dengan penekanan khusus pada pemrosesan data. Aplikasi ETL untuk Pre-Processing Business Intelligence bertujuan untuk membantu dalam melakukan analisis data yang mudah dan visualisasi data dalam bentuk grafik yang diproses melalui algoritma data visualization terlebih dahulu. Kata kunci — Analisis Data, Business Intelligence, Visualisasi Data.
Penerapan Teknologi Cloud dalam Sistem Informasi Sumber Daya Manusia: Keunggulan, Tantangan, dan Solusi Suaib, Fauzil Fahrezi; Latuconsina, Roswan; Kusuma, Purba Daru
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Penerapan teknologi cloud dalam sistem informasi sumber daya manusia (SDM) telah menjadi tren penting dalam manajemen modern. Teknologi ini menawarkan sejumlah keunggulan, seperti peningkatan efisiensi operasional, fleksibilitas akses, dan pengurangan biaya infrastruktur. Namun, implementasinya juga menghadapi berbagai tantangan, termasuk isu keamanan data, integrasi dengan sistem yang ada, dan resistensi terhadap perubahan di dalam organisasi. Artikel ini bertujuan untuk mengkaji keunggulan dan tantangan tersebut, serta menawarkan solusi praktis yang dapat membantu organisasi mengoptimalkan penerapan cloud dalam sistem informasi SDM mereka. Penelitian ini menggunakan pendekatan kualitatif dengan studi kasus di beberapa perusahaan yang telah mengimplementasikan sistem ini, serta analisis literatur terkait. Hasil penelitian menunjukkan bahwa meskipun terdapat tantangan signifikan, penerapan cloud dalam sistem informasi SDM dapat memberikan manfaat jangka panjang jika dikelola dengan baik.. Kata Kunci — Cloud Computing, Sistem Informasi Sumber Daya Manusia, Keamanan Data, Efisiensi Operasional
Analisa Pengujian Aplikasi Sistem Informasi Sumber Daya Manusia Berbasis Cloud Menggunakan Black Box dan UAT Nurdin; Latuconsina, Roswan; Kusuma, Purba Daru
eProceedings of Engineering Vol. 11 No. 6 (2024): Desember 2024
Publisher : eProceedings of Engineering

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Abstract

— Sistem Informasi Sumber Daya Manusia (HRIS) berbasis cloud semakin banyak diadopsi oleh perusahaan untuk meningkatkan efisiensi operasional dan manajemen sumber daya manusia. Penelitian ini bertujuan untuk menguji aplikasi HRIS berbasis cloud dengan menggunakan metode pengujian Black Box dan User Acceptance Testing (UAT). Metode Black Box digunakan untuk mengevaluasi fungsionalitas utama aplikasi tanpa melihat kode internal, sedangkan UAT melibatkan pengguna akhir untuk menilai kesesuaian aplikasi dengan kebutuhan operasional sehari-hari. Hasil pengujian Black Box menunjukkan bahwa semua fitur utama, seperti manajemen data karyawan, presensi, penilaian kinerja, dan penggajian, berfungsi sesuai dengan spesifikasi yang diharapkan tanpa adanya kesalahan signifikan. Sementara itu, UAT memberikan umpan balik positif dari pengguna akhir, menunjukkan bahwa aplikasi ini mudah digunakan dan memenuhi kebutuhan mereka dengan baik. Aplikasi HRIS berbasis cloud yang dikembangkan telah siap untuk diimplementasikan dalam lingkungan perusahaan, dengan beberapa rekomendasi untuk peningkatan fitur keamanan dan penambahan fungsionalitas berdasarkan umpan balik pengguna. Kata kunci — HRIS, Cloud, Black Box Testing, UAT
Automated Detection of Molting Crabs Using YOLO: Enhancing Efficiency in Soft-Shell Crab Aquaculture Saputra, Dany Eka; Rangkuti, Abdul Haris; Dwi Putra, Sulistyo Emantoko; Daru Kusuma, Purba; Kurniawan, Albert; Gabriela, Melanie
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3468

Abstract

Crab molting detection is a crucial process in aquaculture, particularly to produce soft-shell crabs, which are considered a delicacy in many markets. Traditional methods of manually monitoring crabs for molting are labor-intensive and susceptible to human error. To address this challenge, this study examines the application of the YOLO (You Only Look Once) object detection model for automating the detection of molting crabs. YOLO is renowned for its capability to perform real-time object detection, making it an ideal choice for this application. Our research focuses on developing a YOLO-based system that accurately identifies molting crabs from videos or images captured in farming environments. The model was trained on a comprehensive dataset comprising images of crabs at various stages of molting, ensuring robustness against environmental variations and different lighting conditions commonly encountered in aquaculture settings. The results indicate that the YOLO model achieves high accuracy in detecting molting crabs, significantly enhancing the efficiency and reliability of the detection process compared to manual observation and other machine learning approaches. These advancements facilitate timely intervention and harvesting, which are critical for optimizing the quality and yield of soft-shell crabs. In our experiments, the recognition of the crab molting process was categorized into three classes: the molting crab, the crab skin, and the newly molted crab. Overall, the YOLOv8 and YOLOv11 models demonstrated impressive performance, achieving an average accuracy of 96% to 98%. This research on molting crab detection has proven successful and can be further extended to include other types of crabs.
Design of Rubbish as Pickup Object in The Maze Game Using Cellular Automata Naluri, Hanatar Adi; Kusuma, Purba Daru
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 02 (2023): November 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i01.5780

Abstract

This educational game is perfect for children. So many kids nowadays actually play games that should be for adults. This is quite concerning because the age children should be the age of forming morals and in this study, the authors developed a maze game with the theme of manners or morals. In this game, the writer designed the pickup behavior of garbage objects using the cellular automata method. The results to be achieved in this study are to ensure the game can run smoothly without errors and pickup objects in the form of trash according to what was designed. In addition, with this maze game it is hoped that it can educate children so that morals or character are formed within them.
Automated Feeding System for Aquariums based on the Internet of Things Setiawan, Irfan; Kusuma, Purba Daru; Maharawati, Ashridini
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 3 No 01 (2024): May 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i02.6089

Abstract

Feeding is influential for the survival of fish in the aquarium environment. Until now, most people do manual feeding. With manual feeding, the aquarium owner often forgets to feed the fish in the aquarium, whether it's too little or too much, both in terms of scale or timing of the feeding. In addition, if the aquarium owner is doing activities outside the home, the fish will not get food. This study adopts descriptive and casual methods. The first one is used to describe the system concept and the system design plan used. This fish-feeding system with NodeMCU ESP8266 based on the Internet of Things (IoT) can be implemented to control the feeding of fish in an aquarium environment. The purpose of this automatic feeding system is to ensure that the feed given to the fish in the aquarium is evenly distributed. Feeding the fish unevenly will cause the aquarium water to become cloudy. Turbid water can cause the ornamental fish in it to die besides being unpleasant to look at. Based on the results of testing the accuracy of the distance between the ruler and the ultrasonic sensor 5 times, an average error of 1.795% was found. In other words, the success of the ultrasonic sensor in detecting the distance of objects (fish) is 98.205%.
Development of Spider Queen non-playable character in Miner Quest game using finite state machine.: Development of Spider Queen non-playable character in Miner Quest game using finite state machine. Gumelar, Raja Ilham Maulidani; Kusuma, Purba Daru; Dinimaharawati, Ashri
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 3 No 01 (2024): May 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i02.6247

Abstract

Digital technology has rapidly developed, opening new opportunities for educational games for young children. These games serve as alternative learning media due to children’s high interest in playing games. Miner Quest is a game designed using game maker language or GML and using gamemaker studio platform. It incorporates a finite state machine method for non-playable characters (NPC). The game focuses on completing missions, inspired by Super Mario Bros 2, where players collect mining materials such as coal and nickel. This study aims to assess the effectiveness of Miner Quest in educating young children implementing finite state machine systems for NPCs
Development of IoT-based Scheduled and Efficient Feeding System For Broiler Chicken Lumban Tobing, Gerin Sonia Yuki; Kusuma, Purba Daru
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 3 No 01 (2024): May 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i02.6262

Abstract

This research aims to develop a scheduled, efficient, and optimal Internet of Things (IoT)-based feeding system for broiler chickens. In an effort to improve efficiency and sustainability in poultry farming, a technology-based approach becomes crucial. Currently, the use of farm monitoring systems is generally conventional or manual, and human labor involvement incurs significant costs. In the era of Society 5.0, innovative solutions that leverage cutting-edge technology are needed to enhance productivity and sustainability in farming. This study adopts a prototype development method with sorting algorithms to develop an efficient and scheduled feeding system for broiler chickens. The system consists of automation devices capable of regulating chicken feed volumes and implementing regular scheduling. Furthermore, the system utilizes Internet of Things (IoT) technology, enabling remote control and real-time monitoring through an Android application. With this system in place, farmers can efficiently monitor and regulate chicken feeding without the need to be physically present at the farm location. Additionally, the use of sorting algorithms allows for the even distribution of feed, reducing waste and maximizing feed utilization. The development of this IoT-based feeding system for broiler chickens is expected to enhance efficiency and sustainability in poultry farming while making a positive contribution to meeting the future high demand for chicken meat.
Automatic Cleaning System of Chicken Coop Fathiraihan, Muhammad Alif; Kusuma, Purba Daru
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 3 No 01 (2024): May 2024
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i02.6263

Abstract

A This study aims to develop an automated cleaning system for chicken coops using Internet of Things (IoT) technology. The system utilizes IoT technology to monitor and control the condition of the coop in real-time and provide notifications to the farmer through a mobile application. The main specifications of the system include scheduled feeding, system status monitoring, alarm notifications, and database communication. The system utilizes Arduino Mega 2560 + Wi-Fi built in Esp8266 as the microcontroller, in case of any discrepancies in the system status, such as low food or water capacity, the system triggers alarms or sends notifications to the mobile application. Additionally, the system operates continuously for 24 hours and maintains communication with the database to ensure up-to-date information. It also features an automated cleaning function that can schedule regular cleaning of the coop using water. The farmer can control the cleaning process through buttons located near the coop. During the system verification, the scheduled Cleaning, status alert feature, system uptime, communication between the system and the database, and automated cleaning functionality were tested and verified according to the specified requirements. This research provides a practical and efficient solution for managing broiler chicken coops. The system allows real-time monitoring of coop conditions, improves cleaning efficiency, and enhances coop cleanliness. Implementing this system can boost farm productivity and facilitate overall coop management.
Co-Authors Abdi Hazman Abdillah, Kemas Muhammad Rizky Abdul Rohim Achmad Rizal Aditya Enggar Adrian Sabagus Tanazri Afifah Shalihah Agita Chrisna Agita Fajar Prabowo Ahmad Fauzan Fauti Albert Kurniawan, Albert Alfiansyah, Alvan Anas Satria Anas Satria Andrew Brian Osmond Andri Liem Anggraini, Ratika Dwi ANGGUNMEKA LUHUR PRASASTI Anton Siswo Raharjo Anton Siswo Raharjo Ansori Anton Siswo Raharjo Ansori Anton Siswo Raharjo AnsoriI Arief Ilham Novandi Arief Ilham Novandi Ario Dewantoro Arisandi, Alvian Aruan, David Hasudungan Aryan, Muhammad Pascal Aryansyah, Novianto Asep Mulyana Ashri Dini Maharawati Ashri Dinimaharawati Ashridini Maharawati Astrid Melati Aulia Wildan Bangkit Surya Praja Br Ginting, Shely Belinda Budhi Irawan Burhannuddin Dirgantoro Candrasyah Hasibuan, Faisal Casi Setianingsih Cut Aisyah Ilmi David, Axel Deyan Havith Dailamy Diantoro Arifian Dimas Anjar Saputro Dipo Suryantoro Dwi Putra, Sulistyo Emantoko Fachry Reiza Fadjrianto, Farhansyah Iqbal Fadli Idris Fairuz Azmi Faisal Candrasyah Hasibuan Fajar Hari Andriana Farid Reza Sukma Fathiraihan, Muhammad Alif Fauzan, Nadhifi Qurrunul Bahratu Fikri Reksa Maulana Fiqri Ramadhan Friza Fahmi Hutama Gabriela, Melanie Gema Wahyu Saputra Gerin Sonia Yuki Lumban Tobing Grace Cyndiana Gumelar, Raja Ilham Maulidani Haekal, Muhammad Hafizh Hafidz Kahamdany Hafizh Septian Pristanto Hamdani, Mauriz Muhammad Al Ghazali Hanatar Adi Naluri Harahap, M Yusril Fauzan Hariwidjaja, Valrama Wardhana Hariyanto, Muhammad Dwi Helmy Widyantara Herlambang, Yohanes Yogas Herwin Yudha Setyawan Hikmawan, Fakhrity Ikhsan Hakiki Ilham Arisyandy Ilham Majid Rabbani Ilyas Hermawan Irfan Setiawan Irham Imami Harahap Irma Damayanti Iwan Iwut Tritoasmoro Jenni Teresia Junando, Muhammad Idri Khairunnisa Br Ginting Laksono, Muhammad Agung Lumban Tobing, Gerin Sonia Yuki Mahaasin, Habib Irfan Maharawati, Ashridini Markus Lamserep Hutauruk Meta Kallista Mirza Ahmad Febrian Mohammad Ibrahim Al Mahi Mohammad Viko Mashar Muhammad Agung Laksono Muhammad Alif Fathiraihan Muhammad Fadhil Muhammad Hafidz Muhammad Insan Aulia Muhammad Junaid Musa Muhammad Ken Muhammad Taufik Hidayat Muhammad Thariq Machaz Muyadi, Fawwaz Aboeruslan Nabhan, Muhammad Sidqi Nadhifah Nadhifah Naema Simanjuntak Naluri, Hanatar Adi Nasheeri, Al Ghifary Akmal Naufira Septriyanti Novandi, Arief Ilham Novianty, Astri Nugraha, Alvin Yoga Nugrahaen, Ratna Astuti Nurdin Nurfauzi, Fahmi Prabowo Wahyu Basuki Prayoga, Ivan Fernanda Putti, Fasya Hanifah Rachmah, Jabal Rachman Fadly Krisdiantoro Raja Ilham Maulidani Gumelar Raka Putra Gustian Ramadhan, Achmad Rionov Faddillah Ramadhanti, Tassya Randy Erfa Saputra Rangkuti, Abdul Haris Ratna Astuti Ratna Astuti Nugrahaeni Reza Rendian Septiawan Rifqi Muhammad Fikri Rizka Shinta Wulandari Rizki Akbari Tamin Rizky Maulana Roswan Latuconsina Rumaini M Rumani M Ryan Adytia Ryan Gani Dharmawan Salimah, Hurin Salwa, Nabilah Samgusdian, Arfara Yema Saputra, Agung Aji Saputra, Ari Cahya Saputra, Dany Eka SATRIA, ANAS Seno Adi Putra Septian Putra Manuel Simangunsong Septian Rizki Agrianto Setiawan, Irfan Silalahi, Panji Christoper Silvia Latifah Putri Siregar , Dedy Kurniawan Suaib, Fauzil Fahrezi Sutisna, Mohamad Redza Tri Putra Theodore Dian Arief Sianipar Tinton Aji Sadewo Tito Waluyo Purboyo Utama, Muhammad Aimar Rizki Virgono , Agus Whibi Waskita Wicaksono Wicaksono, Lutfi Hadi Wijaya, Anjas Rahmanta Cahya Wilda Satria Yoviandi Eka Prakoso Yulin Zurina Zaki Zamzami Zurratul Ikhsan