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All Journal MEKTEK Foristek Jurnal MEKANIKAL AKSIOMA Jurnal Pendidikan Matematika Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan MEKTRIK JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal ScientiCO : Computer Science and Informatics Journal Aksioma Advance Sustainable Science, Engineering and Technology (ASSET) The Indonesian Journal of Computer Science
Yuri Yudhaswana Joefrie
Universitas Tadulako
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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AUDIT SISTEM INFORMASI PENYELESAIAN PERKARA (SIMPEL BANDING) MENGGUNAKAN FRAMEWORK COBIT 5 Hajra Rasmita Ngemba; Liza Amalia; Syaiful Hendra; Yuri Yudhaswana Joefrie; Alda Nur Pradinda
Jurnal Informatika dan Teknik Elektro Terapan Vol 11, No 3s1 (2023)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v11i3s1.3586

Abstract

Abstrak. Audit adalah suatu proses sistematis yang mendapatkan dan mengevaluasi perihal tindakan untuk memastikan kesamaan antara tindakan tersebut dan ketetapan yang telah ada. Dalam prosesnya audit sistem informasi dilakukan dengan cara pengujian terhadap sistem yang ada dalam organisasi dengan tujuan untuk menilai apakah aplikasi/sistem telah berjalan sebagaimana tujuan awal pembangunan. Objek penelitian audit yang digunakan ialah sistem informasi penyelesaian perkara (SIMPEL Banding) dengan menggunakan domain APO, DSS, MEA dengan detail sub domain APO 11 (Manage Quality), APO 12 (Manage Risk), DSS 01 (Manage Operations), DSS 03 (Manage Problem), MEA 3(Monitor, Evaluate and assest Performance and Conformance) pada framework cobit 5. Dari hasil penelitian SIMPEL Banding berada pada tingkat kapabilitas level 4 (Predictible Process) Proses sekarang beroperasi dalam batas yang ditentukan untuk dengan performa yang baik. Namun dalam mengimplementasikan SIMPEL Banding belum menggunakan prosedur yang terstruktur sesuai standar tata kelola IT berdasarkan framework COBIT 5 dan kurangnya dokumen dan efektifitas manajemen dalam mengatur tata kelola IT pada sistem. Oleh karena itu rekomendasi dari hasil audit dapat dijadikan sebagai acuan oleh pihak pengelola untuk meningkatkan sistem tata kelola TI dari SIMPEL BandingAbstrak. Audit adalah suatu proses sistematis yang mendapatkan dan mengevaluasi perihal tindakan untuk memastikan kesamaan antara tindakan tersebut dan ketetapan yang telah ada. Dalam prosesnya audit sistem informasi dilakukan dengan cara pengujian terhadap sistem yang ada dalam organisasi dengan tujuan untuk menilai apakah aplikasi/sistem telah berjalan sebagaimana tujuan awal pembangunan. Objek penelitian audit yang digunakan ialah sistem informasi penyelesaian perkara (SIMPEL Banding) dengan menggunakan domain APO, DSS, MEA dengan detail sub domain APO 11 (Manage Quality), APO 12 (Manage Risk), DSS 01 (Manage Operations), DSS 03 (Manage Problem), MEA 3(Monitor, Evaluate and assest Performance and Conformance) pada framework cobit 5. Dari hasil penelitian SIMPEL Banding berada pada tingkat kapabilitas level 4 (Predictible Process) Proses sekarang beroperasi dalam batas yang ditentukan untuk dengan performa yang baik. Namun dalam mengimplementasikan SIMPEL Banding belum menggunakan prosedur yang terstruktur sesuai standar tata kelola IT berdasarkan framework COBIT 5 dan kurangnya dokumen dan efektifitas manajemen dalam mengatur tata kelola IT pada sistem. Oleh karena itu rekomendasi dari hasil audit dapat dijadikan sebagai acuan oleh pihak pengelola untuk meningkatkan sistem tata kelola TI dari SIMPEL Banding
Business Process Analysis in the Financial System of PT. Oti Eya Abadi With Business Process Modelling and Notation (BPMN) Method Hanama, Ikhsan Wahyudin; Pratama, Septiano Anggun; Joefrie, Yuri Yudhaswana; Lapatta, Nouval Trezandy
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3487

Abstract

Every company certainly needs an information system for ease of work management in a company organization. As in the problems faced by the company PT. Oti Eya Abadi who needs an information system that can create and print company cash as efficiently as possible so that leaders and employees who manage the company's financial cash do not make manual formats in excel anymore and obtain cash data formats automatically from the information system. In order to achieve a sequential but still efficient system flow in the use of information systems, an analysis is made related to the business process flow of the information system with a description in the form of Business Process Modelling and Notation (BPMN). By describing BPMN, the creation of an information system can be made more directed in each access feature so that when the information system is completed it can be used with access that is easier for users to understand and more efficient in using an information system, including the financial information system of PT. Oti Eya Abadi.
Optimization of Urban Waste Collection Routes Using the Held-Karp Algorithm in a Web and Mobile-Based System Arsita, Tiara Juli; Lapatta, Nouval Trezandy; Joefri, Yuri Yudhaswana; Angreni, Dwi Shinta; Pratama, Septiano Anggun
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8832

Abstract

In 2023, the Environmental Agency of Palu City recorded a total waste production of 97,492 tons, of which 10.4% was plastic waste. The Palu City Government operates a fleet of garbage trucks on a predetermined collection schedule. However, garbage bins frequently overflow before their scheduled pickup, resulting in extended waste accumulation and inefficiency. This study proposes a web and mobile-based system to enhance waste management by integrating bin condition reporting and shortest route calculation for collecting full bins. The Held-Karp algorithm is utilized to address the Travelling Salesman Problem (TSP) for determining optimal collection routes. The system was developed using Golang, Flutter, ReactJS, and a MySQL database. API functionality was validated using Postman, and overall system functionality was tested using the black-box method. A case study involving 8 test points (1 starting point, 10 waste collection points, and 1 endpoint) demonstrated that the proposed system reduces travel time by up to 21.74%, costs by 22.29%, fuel consumption by 21.16%, and distance traveled by 21.16% compared to conventional methods. These results highlight the potential of the system to significantly optimize waste collection operations and support sustainable urban waste management practices.
Automatic Fish Feeding and Temperature Control System for Aquariums Based on Internet of Things (IoT) Widyati, Made Ayu Sri; Anshori, Yusuf; Lamasitudju, Chairunnisa Ar.; Laila, Rahmah; Joefrie, Yuri Yudhaswana
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8847

Abstract

Keeping fish in aquariums has become one of the people's hobbies. An important factor in fish maintenance is the process of feeding and controlling the temperature of the aquarium. However, with various activities, fish care is often not carried out properly. This study develops an automatic system for feeding and controlling the temperature of the aquarium with goldfish as the test object. This study designs an automatic system to control the temperature and feeding in the aquarium using hardware such as a DS18B20 temperature sensor, load cell, and ultrasonic sensor. This system is controlled by ESP32 for reading sensor data and Arduino Uno for controlling the relay, cooling system, heater, and servo motor. ESP32 reads sensor data and sends it via MQTT to Node-red. Based on this data, the system regulates the temperature by activating the cooler (peltier and water pump) if the temperature is >28℃ and turning off the cooler when the temperature is <26℃. The heater is active if the temperature is <24℃ and stops when the temperature reaches 26℃. Feeding is carried out according to schedule, with servo 1 dropping feed into the load cell until the weight reaches the target weight. After that, servo 2 moves the feed into the aquarium. If the weight has not reached the target, servo 1 continues to be active. Based on the test, the average percentage of error in the temperature sensor is 0,08%, the weight sensor is 1.10%, and the ultrasonic sensor is 1.61%. This system successfully performs four times a day feeding and controls the temperature within the optimal range for goldfish, which is 24-28℃. The test results show that this system functions well and is in accordance with the research objectives.
KLASIFIKASI JENIS KAYU BERDASARKAN CITRA SERAT KAYU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Dwimanhendra, Muhammad Rifaldi; Syahrullah, Syahrullah; Joefrie, Yuri Yudhaswana; Angreni, Dwi Shinta; Azhar, Ryfial; Nugraha, Deny Wiria; rezandy Lapatta, Nouval; Najar, Abdul Mahatir
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5726

Abstract

Kayu merupakan sumber daya alam yang sangat penting bagi industri mebel atau furnitur. Pemilihan jenis kayu yang tepat sangat krusial dalam industri mebel untuk menentukan kualitas hasil produksi. Pemilihan kayu secara manual memiliki risiko kesalahan yang dapat berdampak negatif pada kualitas akhir produk mebel. Oleh karena itu, diperlukan penerapan teknologi untuk meminimalkan kesalahan pemilihan jenis kayu dan meningkatkan efisiensi proses produksi. Penelitian ini bertujuan membangun model klasifikasi jenis kayu (nantu, palapi, dan uru) berbasis Convolutional Neural Network (CNN) menggunakan citra serat kayu. Dataset terdiri dari 1.584 citra yang dibagi menjadi 80% data pelatihan dan 20% data pengujian. Arsitektur model CNN terdiri dari 4 lapisan konvolusi, 4 lapisan pooling, dan 2 lapisan fully-connected. Hasil pelatihan mencapai akurasi 97,06%, sedangkan hasil pengujian dan evaluasi menggunakan matriks konfusi mencapai akurasi 95,56%. Penelitian ini membuktikan bahwa CNN dapat digunakan secara efektif untuk klasifikasi jenis kayu dengan tingkat akurasi yang tinggi, sehingga dapat membantu meningkatkan efisiensi proses produksi mebel.
Interaksi Augmented Reality Menggunakan Boxcollider Dalam Aplikasi Pembelajaran Bahasa Inggris Zulkifli, Zulkifli; Joefrie, Yuri Yudhaswana; Nugraha, Deny Wiria; Lapatta, Nouval Trezandy; Syahrullah, Syahrullah; Angreni, Dwi Shinta
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6248

Abstract

Teknologi Augmented Reality (AR) telah menjadi salah satu inovasi terdepan dalam meningkatkan pengalaman belajar interaktif. Penelitian ini mengkaji penggunaan AR dalam aplikasi pengenalan bahasa Inggris dengan memanfaatkan fitur BoxCollider untuk interaksi pengguna. Ap-likasi ini dirancang untuk membantu pengguna, terutama pelajar, dalam mengenali dan memahami kosakata bahasa Inggris melalui pengalaman visual dan interaktif. BoxCollider digunakan untuk mendeteksi interaksi antara pengguna dan objek virtual yang ditampilkan di layar, memung-kinkan respons langsung terhadap tindakan pengguna seperti menyentuh atau menggerakkan objek. Hasil penelitian menunjukkan bahwa penggunaan BoxCollider dalam AR meningkatkan keterlibatan pengguna dan memudahkan proses belajar. Pengguna dapat berinteraksi dengan berbagai objek yang mewakili kata-kata bahasa Inggris, sehingga mem-berikan konteks visual yang kuat dan mendukung pemahaman kosakata secara lebih efektif. Aplikasi ini diharapkan dapat menjadi alat bantu yang efektif dalam pengajaran bahasa Inggris, menawarkan metode bela-jar yang lebih menarik dan interaktif dibandingkan dengan metode kon-vensional
Geographical Information System Shortes Path Delivery Of Goods Using The Bellman-Ford And Dijkstra Algorithm (Case Study J&T Palu City) Septiani, Rini; Joefrie, Yuri Yudhaswana; Ardiansyah, Rizka; Pratama, Septiano Anggun; Laila, Rahmah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6289

Abstract

The demand for goods delivery services (expedition services) is currently growing very rapidly to support the many e-commerce companies that have sprung up in Indonesia. In the delivery process, there is often a delay in delivery due to the random delivery path of the delivery service courier. The development of information technology, especially computer technology, can be used to solve problems in various fields of work. This study aims to optimize the determination of Goods Delivery routes using the Bellman-Ford and Dijkstra Algorithms. The case study was conducted at JT Goods Delivery Services in Palu City, Central Sulawesi. The data used in this study is the distance data between the delivery location points of goods taken from Google Maps. This research was conducted by collecting data on the distance between the source point and the location of the delivery of goods. By using the Bellman-Ford and Dijkstra Algorithms, the Bellman-Ford Algorithm is used to handle graphs with negative weights and detect negative cycles, while the Dijkstra Algorithm is more efficient on graphs with positive weights, focusing on finding the shortest path from one point to all other points, the distance and time required for shipping goods can be minimized so that the efficiency of shipping goods can be increased
DESIGN AND BUILD AN ONLINE RESERVASTION SYSTEM FOR HEALTH SERVICES AT PET CLINICS USING THE PRIORITY SCHEDULING ALGORITHM Rumampuk, Viola Gracella; Ardiansyah, Rizka; Joefrie, Yuri Yudhaswana; Laila, Rahmah; Pusadan, Mohammad Yazdi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6305

Abstract

The limited number of veterinarians and the absence of an online reservation service at Louis Pet Shop Palu, which requires prospective patients or customers to come in person to take a queue number and wait to receive medical services. The long queues that often occur cause inconvenience and waste of time for customers. In addition, the mismatch of schedules with customer preferences adds to the inconvenience, which can result in customer dissatisfaction and potential losses for the clinic as customers seek services elsewhere that are more convenient. This research uses the Black Box testing method to ensure the smooth running of the created program. In conclusion, this problem can be overcome by building an online reservation information system that integrates a priority-based queue management mechanism. The implementation of this feature uses Priority Scheduling Algorithm combined with WhatsApp Gateway as a reminder.
Artikel Analisis Sentimen terhadap Resolusi Genjatan Senjata PBB 2023: Studi pada 10 Negara Penolak Resolusi Konflik Israel-Palestina Qofifa, Sitti Nurlaili; Ardiansyah, Rizka; Joefrie, Yuri Yudhaswana; Wirdayanti; Lapatta, Nouval Trezandy
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4405

Abstract

The Israeli-Palestinian conflict is the longest conflict that still has not found a bright spot. In December 2023 the UN again gave the latest resolution with the title “Armistice” this resolution received pros and cons from UN member states. The number of pro countries is 150 countries, contra as many as 10 countries and 23 countries abstain. This study aims to investigate whether the 10 countries that voted against the UN resolution represent the interests of their people or only represent the interests of their country. This research approach uses sentiment analysis on platform X with the Support Vector Machine method. Data was taken from March 2024 to the latest data, 137,447 data were obtained with 5 countries using non-English languages and 4 countries using English. Each data from these countries was successfully classified into positive and negative classes. The survey was conducted on 9 countries with an average positive sentiment of 34.82% and an average negative sentiment of 77.41%. The results of this research show that the decisions made by the 10 countries that rejected the resolution represent the voice of their people.
Land Cover Analysis with Fully Convolutional Network Ihwan, Abib Raifmuaffah; Lapatta, Nouval Trezandy; Joefrie, Yuri Yudhaswana; Anshori, Yusuf; Syahrullah, Syahrullah
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.496

Abstract

This study analyses land cover in Morowali Regency using Sentinel-2 satellite imagery and the Fully Convolutional Network (FCN) algorithm. Land cover analysis in this area is crucial for monitoring rapid industrialization, especially in the mining sector. The methodology includes retrieving image data from Google Earth Engine, image processing to eliminate cloud influences, and model training using the European Space Agency (ESA) datasets. The results of the analysis show that 50% of the Morowali Regency area has the potential to be planted with trees, followed by 20% for water areas, and the rest for bushes, development land, and empty land. This study proves that FCN can be relied on to predict land potential with high accuracy with a loss value of 1.3001.
Co-Authors Abdul Mahatir Najar Alda Nur Pradinda Amriana Amriana Anita Ahmad Kasim Arsita, Tiara Juli Chairunnisa Ar. Lamasitudju Chairunnisa Lamasitudju Deny Wiria Nugraha Dodu, Erwin Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Hajra Rasmita Ngemba Hanama, Ikhsan Wahyudin Hasanuddin Hasanuddin Ihwan, Abib Raifmuaffah Inten Sakti Pratiwi Junus Widjaja Lamasitudju, Chairunnisa Liza Amalia Meidji, Farah Nabila Mohammad Yazdi Pusadan Muh Alif Alghifari Muhammad Aristo Indrajaya Muhammad Yazdi Nadyanti, Nadyanti Ningsih, Alief Surya Nouval Trezandy Lapatta Pratama, Septiano Anggun Prihastomo, Enggar Dwi Protus Peter Kalatiku Protus Pieter Kalatiku Qofifa, Sitti Nurlaili Rahmah Laila Rini Septiani Rizka Ardiansyah Rumampuk, Viola Gracella Ryfial Azhar, Ryfial Septiano Anggun Pratama Syahrullah Syahrullah Syaiful Hendra Wahyu Setiawan Widyati, Made Ayu Sri Wirdayanti Yusuf Anshori Zulkifli Zulkifli