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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Computatio : Journal of Computer Science and Information Systems Jurnal Akuntansi Jurnal CoreIT Jurnal Komputasi Network Engineering Research Operation [NERO] BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo Krea-TIF: Jurnal Teknik Informatika Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Madani Jurnal Tekno Kompak Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA JiTEKH (Jurnal Ilmiah Teknologi Harapan) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Mattawang: Jurnal Pengabdian Masyarakat JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Malcom: Indonesian Journal of Machine Learning and Computer Science JEECS (Journal of Electrical Engineering and Computer Sciences) Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Social Sciences and Technology for Community Service
Dedi Darwis
Universitas Teknokrat Indonesia
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Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting Darwis, Dedi; Sulistiani, Heni; Megawaty, Dyah Ayu; Setiawansyah, Setiawansyah; Agustina, Intan
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 2 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i2.7904

Abstract

This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.
Penerapan Metode TOPSIS dalam Pemilihan Moda Transportasi Berkelanjutan untuk Pengurangan Emisi Gas Rumah Kaca Pramita, Galuh; Darwis, Dedi
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5361

Abstract

The choice of sustainable modes of transportation for the reduction of greenhouse gas emissions is an important aspect in efforts to mitigate climate change. By choosing environmentally friendly modes of transportation, such as public transportation, electric vehicles, bicycles, or ride-sharing, individuals and organizations can contribute significantly to the reduction of greenhouse gas emissions produced by the transportation sector. The research objective of the application of decision support systems in the selection of sustainable modes of transportation for the reduction of greenhouse gas emissions is to provide a structured and effective framework in assisting individuals and organizations in choosing alternative modes of transportation that best suit their needs while also minimizing negative impacts on the environment. DSS can be a very useful tool in the selection of sustainable modes of transportation for the reduction of greenhouse gas emissions. DSS can integrate various factors such as energy efficiency, greenhouse gas emissions, infrastructure accessibility, and cost to determine the mode of transportation that best suits user needs and preferences. The ranking results are based on the respondents' assessment data for rank 1 with a final score of 0.92974 with an alternative name for Bicycles, rank 2 with a final score of 0.78159 with an alternative name for Hydrogen-Based Public Transportation, rank 3 with a final score of 0.76089 with an alternative name for Public Transportation, and rank 4 with a final score of 0.15703 with an alternative name for Electric Vehicles. The results of processing respondent response data based on 4 TRITAM Model criteria obtained Trust results of 76.25%, Risk of 75%, Perceived usefullness of 93.96%, Perceived easy of Use of 82.92%. Of the overall criteria of the TRITAM Model for technology acceptance, the result was very good at 84.17%
Pengenalan dan Pelatihan Game Edukasi Menggunakan Quickappninja untuk Siswa SMK PGRI Kedondong Darwis, Dedi; Rahmanto, Yuri; Sulistiani, Heni; Yasin, Ikbal; Saputra, Very Hendra; Khoirunnisa, Yosi; Sari, Priskila Lovika; Ismail, Izudin
Journal of Engineering and Information Technology for Community Service Vol 2, No 3 (2024): Volume 2, Issue 3, January 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i3.409

Abstract

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk memberikan pengenalan dan pelatihan membuat game edukasi kepada siswa SMK PGRI Kedondong jurusan multimedia. Ketrampilan menggunakan teknologi merupakan salah satu luaran wajib bagi siswa SMK jurusan multimedia, untuk dapat menguasai teknologi dalam membuat game tidak cukup hanya di dapat dari pelajaran di dalam kelas, oleh karena itu perlu diberikan kegiatan penunjang lain seperti pelatihan untuk menambah pengetahuan dan pengalaman siswa dalam membuat game edukasi. Kegiatan PKM ini memberikan pelatihan langsung kepada siswa jurusan multimedia dalam membuat game edukasi. Pembuatan game edukasi menggunakan quickappninja.com. Berdasarkan hasil kuisioner yang diberikan kepada siswa dan hasil kerja siswa dapat disimpulkan bahwa pelatihan dapat meningkatan kemampuan siswa dalam membuat game edukasi, hal tersebut terlihat dari hasil kuisioner tentang pemahaman siswa terkait game edukasi dan hasil kerja siswa yang awalnya tidak mampu membuat game edukasi menjadi siswa yang mampu membuat game edukasi.
Pelatihan Membuat Aplikasi Keuangan dengan Appsheet untuk Siswa SMK PGRI Kedondong Darwis, Dedi; Rahmanto, Yuri; Sulistiani, Heni; Yasin, Ikbal; Saputra, Very Hendra; Ismail, Izzudin; Sari, Priskila Lovika; Khoirunnisa, Yosi
Journal of Engineering and Information Technology for Community Service Vol 2, No 3 (2024): Volume 2, Issue 3, January 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v2i3.415

Abstract

Sekolah Menegah Kejuruan (SMK) merupakan jenjang Pendidikan yang bertujuan untuk mempersiapkan lulusan yang siap kerja, oleh karena itu kurikulum pada jenjang SMK lebih kepada praktik. Selain itu pelatihan ketrampilan merupakan hal yang penting di jenjang kejuruan agar lebih terampil dalam mengaplikasikan teori yang di dapat di sekolah. Tujuan dari kegiatan pengabdian kepada masyarakat dalam bentuk sekolah binaan ini yaitu memberikan pengenalan dan pelatihan menggunakan appsheet dalam membuat aplikasi keuangan, dengan harapan akan menambah pengalaman dan pengetahuan, serta keterampilan siswa SMK dalam menunjang kompetensi pencatatan transaksi keuangan yang dimiliki siswa dan kedepannya jika siswa telah masuk pada dunia kerja
Combination of Weighted Product Method and Entropy Weighting in the Best Warehouse Employee Recommendation Waqas Arshad, Muhammad; Darwis, Dedi; Sulistiani, Heni; Suryono, Ryan Randy; Rahmanto, Yuri; Megawaty, Dyah Ayu; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2095

Abstract

The best warehouse employees are individuals who show exceptional dedication and precision in carrying out their duties. Not only do they ensure that every process, from receipt to delivery, is carried out with high accuracy, but they are also proactive in finding ways to improve operational efficiency. The main problem lies in the proper assessment of employees' technical skills and soft skills, such as rigor, time management ability, and teamwork. Additionally, the selection process can be complicated when it comes to balancing previous work experience and adaptability to new technologies. Without effective assessment methods, the risk of selecting the wrong employee can negatively impact the overall productivity and operational efficiency of the warehouse. The purpose of the study, which combines entropy weighting method with the WP method is an approach that can increase objectivity and accuracy in multi-criteria decision-making. In this combination, the Entropy method is used first to objectively determine the weight of the criteria based on the degree of variation or information contained in the data of each criterion. The weights generated by the Entropy method reflect the importance of criteria based on how much information is provided, assuming that criteria with more variety have more information. Once the weights are determined, the Weighted Product method is used to evaluate and rank alternatives. Based on the results of the recommendation for the selection of the best warehouse employee Hadi occupies the top position in the selection of the best warehouse employee with a score of 0.07194. His position was followed by Putri who got a score of 0.07082, showing a performance that was also very good and only slightly below Hadi. Budi is ranked third with a score of 0.06621, while Deni is ranked fourth and Kiki is fifth with a score of 0.06544 and 0.06524, respectively. The score obtained by each employee shows a relatively small difference, reflecting the fierce competition and high quality of performance among the employees
Implementation of MABAC Method and Entropy Weighting in Determining the Best E-Commerce Platform for Online Business Wang, Junhai; Darwis, Dedi; Setiawansyah, Setiawansyah; Rahmanto, Yuri
JiTEKH Vol. 12 No. 2 (2024): September 2024
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v12i2.1000

Abstract

The main problem in choosing an e-commerce platform for an online business is finding the one that best suits the specific needs of the business. Each platform has its advantages and disadvantages, such as ease of use, cost, features offered, as well as support for inventory management, shipping, and payments. Other challenges include ensuring that the platform can support future business growth, offer good scalability, and provide flexibility in terms of customization and integration with digital marketing tools. In addition, data security and a good user experience are also important considerations for long-term success. The purpose of this study is to implement the MABAC method and Entropy weighting in determining the best e-commerce platform for online businesses, so that this research can provide clear and data-driven recommendations to stakeholders regarding the most effective e-commerce platform. The application of the MABAC method combined with Entropy weighting in determining the best e-commerce platform for online business people offers a comprehensive and objective approach in decision-making. This combination not only improves decision-making accuracy, but also ensures that the most important criteria are weighted accordingly, resulting in more reliable results in choosing the best platform for business needs. The final result of the MABAC Platform A score is the first choice, considering the highest score of 0.82, which indicates its optimal performance in meeting the criteria that have been set. In addition, Platforms B and C, with scores of 0.78 and 0.75, respectively.
Implementasi Sensor Gas Amonia Berbasis Internet of Things pada Peternakan Ayam Potong dengan Sistem Monitoring dan Pengendalian Kualitas Udara Otomatis: Implementation of Internet of Things-Based Ammonia Gas Sensors on Broiler Chicken Farms with an Automatic Air Quality Monitoring and Control System Budiawan, Aditia; Suryono, Ryan Randy; Darwis, Dedi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1649

Abstract

Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan sensor gas amonia berbasis IoT pada peternakan ayam potong dengan sistem monitoring dan pengendalian kualitas udara otomatis. Sistem ini menggunakan sensor MQ137 untuk mendeteksi kadar gas amonia dan mikrokontroler ESP32 untuk mengontrol berbagai komponen seperti buzzer, RTC DS1307, dan sistem penyemprotan otomatis. Data kualitas udara dikumpulkan dan dipantau secara real-time melalui aplikasi web, memungkinkan peternak untuk mengambil tindakan cepat dalam menjaga kondisi optimal di kandang ayam. Hasil penelitian menunjukkan bahwa sistem ini efektif dalam mengendalikan kadar gas amonia, dengan penyemprotan air otomatis yang diaktifkan ketika kadar gas melebihi ambang batas 7,2 ppm, sehingga meningkatkan kesehatan dan produktivitas ayam potong
Penerapan Platform DigiLearnHub Untuk Meningkatkan Kemampuan Literasi dan Numerasi Siswa Serta Pelayanan Administrasi di SMAS Kesuma Bakti Priandika, Adhie Thyo; Saputra, Very Hendra; An’ars, M. Ghufroni; Darwis, Dedi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4731

Abstract

SMAS Kesuma Bakti Bekri (SMAS-KBB) has several priority issues that need to be addressed, includingThe educational report score for literacy skills at SMAS-KBB is still categorized as poor, with a score of 33.33. The educational report score for numeracy skills at SMAS-KBB is also categorized as poor, with a score of 35.56. The management of the school's administrative and financial services system has not been optimized. Based on these priority issues, the proposed solutions areImplementing the DigiLearnHub Platform. Providing training and assistance to teachers in creating and designing engaging literacy and numeracy learning content to be used on the DigiLearnHub platform. Providing training and assistance to students on the use of the DigiLearnHub platform and the importance of improving literacy and numeracy learning as a foundation for mastering science and technology. Implementing an application that can be accessed digitally through the website and mobile for real-time School Administration System. Based on the evaluation results, there was an 84.85% improvement in teachers' ability to create literacy and numeracy learning content. Furthermore, based on post-test results conducted with students, there was an increase in the average student score, with literacy achieving 87.2 and numeracy 86.2. This indicates an improvement in literacy and numeracy learning quality, which is expected to prepare students for the ANBK. In addition, the school administrative service application has improved the school's administrative and financial services. According to survey results, 87% of students and parents expressed high satisfaction with the services provided through the school administration and financial application.
Implementasi Smart Cow Farming Technology untuk Monitoring Pertumbuhan Sapi dan Peningkatan Skala Usaha pada Kelompok Peternak Sapi DiBa Farm Kabupaten Lampung Selatan Pasaribu, A Ferico Octaviansyah; Saputra, Febrian Eko; Wati, Novi Eka; Darwis, Dedi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4730

Abstract

The DiBa Farm Livestock Group faces several urgent issues that need to be addressed not all cows can achieve the minimum weight gain target of 1.5 kg per day. Monitoring of cow growth productivity is done manually; (3) the calculation of the cost of goods sold is also still done manually. The partner's marketing of livestock products is limited to regular customers within the South Lampung area only. Based on these prioritized issues, the proposed solutions and methods are implementing a wheelbarrow tool with a digital scale for transporting cow feed using IoT technology. Implementing a cow growth monitoring application using RFID. Implementing a website-based application to automatically determine the Cost of Goods Sold for cows. Implementing a digital marketing application for cow sales that can be accessed via a website. Providing training and assistance related to digital marketing strategies. Based on the evaluation results, it was found that the implementation of Smart Cow Farming Technology 100% improved the partners' knowledge of its usage. The average cow growth increased monthly, from 45 kg to 50 kg. Additionally, there was a 25% increase in profits due to the implementation of the cost of goods sold calculation application and the online cow sales application. The evaluation results from the digital marketing training activities also showed that 85% of the partners' knowledge and understanding improved in terms of using digital marketing.
PERBANDINGAN METODE NAÏVE BAYES DAN SVM UNTUK SENTIMEN ANALISIS MASYARAKAT TERHADAP SERANGAN RANSOMWARE PADA DATA KIP-K Ramadan, Nabil Safiq; Darwis, Dedi
Jurnal Sistem Informasi dan Informatika (Simika) Vol 8 No 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3621

Abstract

This research examines ransomware attacks on KIP-K data by analyzing the opinions of Social Media X users, using the naïve bayes classifier (NBC) and support vector machine (SVM) methods. The rapid development of technology not only brings great benefits but also increases the risk of digital attacks by certain parties. One example is a ransomware attack that caused a KIP-K data leak. In this study, sentiment analysis was applied to identify public opinions or responses obtained from Social Media X, with the help of python programming and google colab. Of the total 2,648 raw data collected, pre-processing was carried out resulting in 1,738 cleaned data. The study compared two methods, namely Naïve Bayes and Support Vector Machine, to determine what method is more effective in analyzing public sentiment related to ransomware attacks on KIP-K data. The focus of this study is to understand the percentage of Social Media X users' comments and responses related to the KIP-K ransomware taken from media sosial X. The stages of sentiment analysis in this study include crawling, labeling, preprocessing, method classification, and visualization. Before the classification process was carried out, the data was divided into two parts, namely 30% for test data and 70% for training data. Data labeling resulted in 1,313 negative data, 957 positive data and 377 neutral data. The classification results show that the NBC method has an accuracy of 70%, while the SVsM achieves an accuracy of 88%. Based on these results, SVM is proven to be superior in data analysis compared to NBC, especially for big data.
Co-Authors . Yuniarwati ., Rusliyawati Abhishek R Mehta Ade Dwi Putra Ade Surahman Ade Surahman Adhie Thyo Priandika Aditia Yudhistira Agung Saputra Agus Wantoro Agustina, Intan Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Suhendri Aidil Akbar Alita, Debby Andi Ilham Rahmansyah Andre Setiawan An’ars, M. Ghufroni Aprian Nuriansah Ari Sulistiyawati Ariany, Fenty Arie Qur’ania Aulia Mustika Sari Ayu Vidiasari Bambang Dwi Setyarto Bayu Dwi Juniansyah Budiawan, Aditia Chaswarina Nimas Maharani Cici Dian Paramita Damayanti, Damayanti Dartono Dartnono Dartono Dartono Dartono Dartono Depriansah Depriansah Dini Wahyuni Ditha Nurjayanti Dwi Andika Dwi Maila Pauristina Dwi Rahma Sari Eka Shintya Pratiwi Elvano Delisa Mega Endi Febrianto Fadila Shely Amalia Fahri Hanif Fatmawati Isnain Febrianto, Endi Fernando, Yusra Fikri Hamidy Gunawan, Rakhmat Dedi Heni Sulistiani HOTIMAH, NURUL I Gede Heri Susanto Ichtiar Lazuardi Putra Ikbal Yasin Ilham Muhammad Ghoffar Ilham Utama Putra Imam Ahmad Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Jumaryadi, Yuwan Junhai Wang Kencono, Lintang Khoirunnisa, Yosi Kisworo Kisworo Kisworo KISWORO Lusiana Indawa M Joko Priono Maria Ainun Nazar Marzuki, Dwiki Hafizh Maulana, Nanda Arif Megawaty, Dyah Ayu Mehta, Abhishek R Meylinda Meylinda Mirza Wijaya Putra Muhammad Bakri Muhammad Fauzan Ramadhani Muhammad Khotimul Anwar Nirwana Hendrastuty Nova Evrilia Novi Eka Wati Nugraha Ashari Nurhuda Budi Pamungkas Nurhuda Budi Pamungkas Pasaribu, A. Ferico Octaviansyah Prabowo, Rizky Pramita, Galuh Pramuditya, Andri Prastowo, Agung Tri Pratiwi, Eka Shintya Priandika, Adhie Thyo Prita Dellia Purnomo Aji Putra, Ade Dwi Putri Lestari Rachmad Nugroho Ramadan, Nabil Safiq Rayin Biilmilah Rika Mersita Riska Aryanti Riskiono, Sampurna Dadi Ryan Randy Suryono Saefulloh Saefulloh Salsa Safhira Sampurna Dadi Riskiono Sanriomi Sintaro Saputra, Febrian Eko Sari, Priskila Lovika Setiawansyah Setiawansyah Sitna Hajar Hadad suaidah suaidah Sumanto, Sumanto Surahman, Ade Surya Indra Gunawan Tika Yusiana Tithania Marta Putri Trisnawati, Fika Ummy Permata Hakim Vera Herlinda Very Hendra Very Hendra Saputra Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Wamiliana Wamiliana Wang, Junhai Waqas Arshad, Muhammad Wayan Kresna Yogi Swara yasin, ikbal Yuri Rahmanto Yusra Fernando Yusri Kusumayuda