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All Journal Jurnal Ilmiah Informatika Komputer Teknika Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Jurnal CoreIT JURNAL KAJIAN TEKNIK ELEKTRO JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INTECOMS: Journal of Information Technology and Computer Science KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJID (International Journal on Informatics for Development) JURIKOM (Jurnal Riset Komputer) Jurnal Tekno Kompak TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Indonesian Journal of Electrical Engineering and Computer Science Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Manajemen Informatika Jayakarta International Journal Software Engineering and Computer Science (IJSECS) Berdikari : Jurnal Pengabdian kepada Masyarakat ABDINE Jurnal Pengabdian Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Technology and Informatics Insight Journal KAMI MENGABDI Journal of Data Science Theory and Application Journal of Digital Business and Management Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Edusight International Journal of Multidisciplinary Studies (EIJOMS) International Journal of Law Social Sciences and Management Computer Journal
Tundo, Tundo
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PREDIKSI JUMLAH PRODUKSI GENTENG DI KEBUMEN BERDASARKAN FUZZY INFERENCE SYSTEM MAMDANI Tundo Tundo; Heri Mahyuzar
Technology and Informatics Insight Journal Vol. 1 No. 2 (2022): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/tiij.v1i2.223

Abstract

Tile is one product that is in demand by many people. This is a trigger for producers to improve their management. One of the efforts made is to predict the production that can be done to get the optimal amount obtained, so as to get a big profit. In this study, to predict the amount of tile production, computerized calculations were carried out using the Mamdani fuzzy logic method. This method uses the concept of monotonous rules, which are then re-selected by experts in tile production by choosing rules that match the actual situation in the agency. This study proves that predictions made with monotonous rules, then re-selection by experts are able to handle the process of predicting tile production. The results of the comparison of predictions with actual production have an error percentage of 28.45%, with a truth of 71.55% (based on the calculation of the Average Forecasting Error Rate (AFER)). Therefore, when implemented in the Fuzzy Inference System, Mamdani can produce optimal tile production predictions.
PELATIHAN PENGGUNAAN E-DRAW MAX UNTUK MEMBUAT DESAIN SISTEM Tundo Tundo; Andi Saidah
KAMI MENGABDI Vol 3, No 1 (2023): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.896 KB) | DOI: 10.52447/km.v3i1.6801

Abstract

Edraw Max is a 2D business technical diagram software that helps create flowcharts, organization charts, mind maps, network diagrams, floor plans, workflow diagrams, business charts and Engineering diagrams, flowcharts, graphs and mappings, besides E- Draw Max is also a vector-based diagramming software, which is usually used to make it easier to make a design. One of them is the design of a production process system in a factory that can use this application. In this training, the E-Draw Max tools will focus on making Data Flow Diagrams (DFD), which are useful for describing the flow of the created system, which consists of Context Diagrams, Level Diagrams, and Level n Diagrams. Data Flow Diagram (DFD) is a diagram that describes the flow of data from a process or information system. In DFD, there is information related to the input and output of each of these processes. DFD also has various functions, such as conveying system design, describing systems, and designing models. This training was held at the ITS NU Pekalongan Institute of Computer Technology. The purpose of this training is to help ITS NU Pekalongan S1 Computer Technology students in making system designs, specifically designing Data Flow Diagrams (DFD) using E-Draw Max tools to make it easier for students to make the flow of the system made in this case DFD on production process in Industry.
PELATIHAN PENGGUNAAN E-DRAW MAX UNTUK MEMBUAT DESAIN SISTEM Tundo Tundo; Andi Saidah
KAMI MENGABDI Vol 3, No 1 (2023): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.896 KB) | DOI: 10.52447/km.v3i1.6801

Abstract

Edraw Max is a 2D business technical diagram software that helps create flowcharts, organization charts, mind maps, network diagrams, floor plans, workflow diagrams, business charts and Engineering diagrams, flowcharts, graphs and mappings, besides E- Draw Max is also a vector-based diagramming software, which is usually used to make it easier to make a design. One of them is the design of a production process system in a factory that can use this application. In this training, the E-Draw Max tools will focus on making Data Flow Diagrams (DFD), which are useful for describing the flow of the created system, which consists of Context Diagrams, Level Diagrams, and Level n Diagrams. Data Flow Diagram (DFD) is a diagram that describes the flow of data from a process or information system. In DFD, there is information related to the input and output of each of these processes. DFD also has various functions, such as conveying system design, describing systems, and designing models. This training was held at the ITS NU Pekalongan Institute of Computer Technology. The purpose of this training is to help ITS NU Pekalongan S1 Computer Technology students in making system designs, specifically designing Data Flow Diagrams (DFD) using E-Draw Max tools to make it easier for students to make the flow of the system made in this case DFD on production process in Industry.
Dance Gesture Recognition Using Laban Movement Analysis with J48 Classification Joko Sutopo; Mohd Khanapi Abd Ghani; M. A. Burhanuddin; Aulia Nur Septiani; Tundo Tundo
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 2: June 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i2.4314

Abstract

This study describes the introduction of classical dance movements using the Laban Movement Analysis (LMA) method which consists of 3 main components, namely Body, Space, and Shape. How to carry out the classical motion recognition process using Kinect which is then read by the screen using the Brekel Kinect and produces dance motion pictures in different formats (. * BVH). After that, it is calculated using the LMA method by obtaining the results obtained in the form of numerical data from each joint from the direction of the axis (xyz), then classification is carried out using the J48 classification method provided at WEKA tools after 50 training data is carried out. 96% truth is recognized, because it guarantees those who meet the requirements, 12 data tests are carried out apart from training data, which can be 92% accurate on average, so it is very possible that this method can be used in dance preparation, especially in classical dance.
SISTEM REKOMENDASI DALAM MENENTUKAN KAYU TERBAIK UNTUK BAHAN GITAR DENGAN MENGGUNAKAN METODE WASPAS Tundo Mujahid
Journal of Data Science Theory and Application Vol. 1 No. 1 (2022): JAsTa
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/jasta.v1i1.44

Abstract

This research occurred because there were complaints from consumers against one of the guitar shops located in Dongkelan, Krapyak, Yogyakarta with the condition of the guitar that was purchased quickly weathered and dull in terms of color. Based on these problems, the solution is to use the Weighted Aggregated Sum Product Assessment (WASPAS) Decision Support method which is assisted by experts in determining the right criteria related to the best in making guitar materials, after calculating the exact results based on the problem, in the form of wood strength criteria, wood grain, texture, and wood weight. All these criteria are then managed using WASPAS, with the data used as many as 28 types of wood data, which were obtained from craftsmen in the area. After obtaining the results, 3 woods that are suitable for use as guitar making materials in sequence are Bubinga wood with a value of 6.38884, Ebony wood with a value of 5.98133, and Bocote wood with a value of 5.98133 from several alternative wood choices. Proving the results of the WASPAS method, the respondents carried out directly by providing the results of the method to guitar makers. Of the 17 expert guitar makers, 15 said they agreed with the top 3 rankings, and 2 said they did not agree. So that the level of assessment based on the assessment is 88.24%
PENGARUH E-WOM DALAM MEMEDIASI HUBUNGAN ANTARA DIGITAL MARKETING ACTIVITIES DAN INTENTION TO BUY DI TOKOPEDIA Heri Mahyuzar; Tundo Tundo
Journal of Digital Business and Management Vol. 1 No. 2 (2022): Journal of Digital Business and Management
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/jdbm.v1i2.182

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh electronic word of mouth (E-WOM) dalam memediasi hubungan antara digital marketing activities dan intention to buy di Tokopedia. Populasi pada penelitian ini adalah semua pengguna Tokopedia di Indonesia. Adapun sampel penelitian yang digunakan pada penelitian ini sebanyak 100 responden yang dipilih berdasarkan convinience sampling. Teknik pengumpulan data dalam penelitian ini menggunakan metode survey dengan cara mengirimkan kuesioner kepada responden. Alat analisis yang digunakan adalah SEM AMOS. Berdasarkan analisis yang telah dilakukan diperoleh bahwa content marketing berpengaruh positif signifikan terhadap electronic word of mouth (E-WOM). Electronic Promotion berpengaruh positif signifikan terhadap electronic word of mouth (E-WOM). Electronic word of mouth (E-WOM) berpengaruh positif signifikan terhadap intention to buy. Sedangkan electronic word of mouth (E-WOM) dapat memediasi hubungan antara digital marketing dan intention to buy.
Penyeleksian Beasiswa Berprestasi pada Universitas XYZ Menggunakan Metode MOORA Tundo Tundo; Panji Wijonarko
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 2 (2023): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i2.8761

Abstract

XYZ University has a scholarship program intended for outstanding students. Determination of recipients of outstanding scholarships is still constrained by the unclear system for determining scholarship recipients. This can affect the fairness of receiving scholarships. Students who really deserve to get a scholarship do not receive the scholarship. The solution to overcome this problem, the researcher came up with an idea in the form of a Multi-Objective Optimization by Ratio Analysis (MOORA) Decision Support System method, with the aim of being able to solve the problem of selecting an objective scholarship acceptance process. The MOORA method was chosen because it can solve the problem with a fairly effective method. After conducting research, it was found that 5 (five) candidates were eligible to receive scholarships for outstanding students, namely Alt7, Alt10, Alt37, Alt49, and Alt35. Furthermore, from the results of this study, it was concluded that students who get achievement scholarships are students with the highest scores from the results of the MOORA method, there is no element of subjectivity.
Pelatihan Penggunaan Tools WEKA untuk Pembuatan Rule Otomatis dalam Penerapan Logika Fuzzy Tundo Tundo; Andi Saidah
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 5, No 4 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v5i4.9519

Abstract

Pada pelatihan ini, penggunaan WEKA akan fokus dalam hal association rules, yang berguna untuk menemukan berbagai relasi antara banyaknya variabel yang terdapat di dalam sebuah basis data dengan jumlah yang besar. Intinya membuat rule yang terbentuk dari sebuah dataset yang ada tanpa harus berkonsultasi dengan pakar. Salah satu caranya dengan menggunakan aplikasi WEKA, dimana cara ini juga membantu mahasiswa dalam menentukan tema skripsi yang di dalamnya mengandung algoritma dan metode, terutama metode dalam bidang sistem cerdas. Bentuk cara dalam membantu mahasiswa tersebut, salah satunya yaitu memberikan pelatihan penggunaan aplikasi WEKA untuk membantu mahasiswa dalam menentukan metode yang dipilih untuk dikonsepkan pada skripsinya. Pelatihan dilakukan pada tanggal 24 Juni 2023 dengan menggunakan media Google Meet yang berlangsung mulai pukul 09.30 s/d 12.00 WIB, pada pelatihan ini masih fokus ke pembuatan rule otomatis dengan menggunakan algoritma J48. Kegiatan dilaksanakan dalam bentuk pendampingan dan pelatihan dalam penggunaan aplikasi WEKA mulai dari pendahuluan berisi penyemangat motivasi, pemaparan materi terkait fungsi dan kegunaan WEKA, kemudian praktik cara membuat rule otomatis. Berdasarkan hasil kuesioner menunjukkan lebih dari 94% peserta merasa WEKA mudah digunakan dan antusias mereka dalam penggunaan aplikasi WEKA terutama dalam membuat rule otomatis untuk mempermudah mahasiswa dalam menentukan rule tanpa harus berkonsultasi dengan pakar, terkhusus bagi mahasiswa yang akan mengambil tugas akhir dengan bidang minat kecerdasan buatan, salah satunya adalah Logika Fuzzy, dimana dalam penerapan logika fuzzy terdapat rule untuk pemrosesan keputusan. In this training, WEKA will focus on association rules, which are useful for finding various relationships between the many variables in a large database. The point is to make rules formed from an existing dataset without consulting an expert. One way is using the WEKA application, which also helps students determine the thesis theme, which contains algorithms and methods, especially methods in intelligent systems. One of the ways to help these students is to provide training on using the WEKA application to assist students in determining the chosen method to conceptualize in their thesis. The training was conducted on June 24, 2023, using Google Meet media, which took place from 09.30 to 12.00 WIB; in this training, the focus was still on making automatic rules using the J48 algorithm. The activity was carried out in the form of assistance and training in using the WEKA application, starting from an introduction containing motivational encouragement, a presentation of material related to the functions and uses of WEKA, and then practicing how to create automatic rules. The questionnaire results showed that more than 94% of participants felt that WEKA was easy to use. They were enthusiastic about using the WEKA application, especially in making automatic rules to make it easier for students to determine rules without consulting with experts, especially for students who will take their final project with an interest in artificial intelligence. , one of which is Fuzzy Logic, wherein there are rules for decision processing in the application of fuzzy logic. 
IMPLEMENTASI PENGGUNAAN ALGORITMA A* PADA PENENTUAN JARAK TERPENDEK DARI CILACAP KE YOGYAKARTA Ahmad Satria Rizqi Maula; Tundo Tundo; Sopan Adrianto; Kastum Kastum; Nandang Sutisna
Jurnal Ilmiah Informatika Komputer Vol 29, No 1 (2024)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2024.v29i1.10661

Abstract

Penelitian ini bertujuan untuk meningkatkan efisiensi penentuan rute terpendek dari Cilacap ke Yogyakarta dengan menerapkan Algoritma A*. Metode penelitian ini melibatkan tahap pengumpulan data perjalanan untuk memahami kondisi jalan dan parameter lain yang memengaruhi perjalanan. Data tersebut kemudian digunakan untuk membentuk representasi graf, menciptakan suatu model yang merefleksikan koneksi antar lokasi dan memfasilitasi implementasi Algoritma A*. Penggunaan Algoritma A* memungkinkan penemuan jalur terpendek dengan meminimalkan biaya perjalanan. Hasil analisis menunjukkan bahwa implementasi ini berhasil meningkatkan efisiensi penentuan rute dengan perbedaan waktu tempuh yang signifikan dibandingkan dengan metode tradisional. Dalam konteks perancangan keputusan, penelitian ini mengintegrasikan kemampuan pengambilan keputusan otomatis berdasarkan analisis data, memungkinkan sistem untuk merespons perubahan kondisi jalan secara dinamis. Dengan demikian, penelitian ini tidak hanya meningkatkan akurasi penentuan rute tetapi juga berpotensi memberikan kontribusi pada pengembangan sistem navigasi yang adaptif dan efisien. 
PERAMALAN HARGA SAHAM NVIDIA DENGAN METODE DOUBLE MOVING AVERAGE Alief Prima Gani; Tundo Tundo; Ridho Akbar; Kevin Arya Josaphat Sitompul
Jurnal Ilmiah Informatika Komputer Vol 29, No 2 (2024)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2024.v29i2.11690

Abstract

The movement of NVIDIA's stock price greatly affects investment decisions, so accurate forecasting is very important to influence investment decisions. This research will apply the data mining process for forecasting NVIDIA stock prices using the Double Moving Average method with the application of order 2 and order 3 models. The purpose of this study is to determine the forecasting of the NVIDIA stock price index based on historical data.  The results show that stock price forecasting using the Double Moving Average method order 2 model is more accurate and in accordance with actual or actual results. On the other hand, forecasting the Double Moving Average method with the order 3 model produces unsatisfactory forecasts that can be used, making it less suitable for dynamic markets. Therefore, the results of forecasting NVIDIA stock prices using the Double Moving Average method order 2 obtained an accuracy of 98% compared to order 3 of 67%. Based on the comparison results of using orders 2 and 3, it can be an important factor for investors to help make investment decisions in terms of forecasting the next production of NVIDIA shares.
Co-Authors Abdus Salam, Abdus Ahmad Satria Rizqi Maula Akbar, Rasyan Akbar, Riolandi Akbar, Yuma Alief Prima Gani Amelia, Ika Arinal, Veri Arvianto, Ramdani Aryanti, Putri Gea Aula, Raisah Fajri Aulia Nur Septiani Azhar, Anisah Nurul Betty Yel, Mesra Betty Yel, Mesra Bobby Arvian James Dadang Iskandar Mulyana` Dalail Dalail Dalail, Dalail Devia, Elmi Dewantara, Rizki Dewanti, Elsa Mayorita Dharmawan, Tio Doni Kurniawan Doni Kurniawan Eldina, Ratih Enny Itje Sela Fakhrurrofi Fakhrurrofi Fakhrurrofi, Fakhrurrofi Faldo Satria Faridatun Nisa Gatra, Rahmadhan Hadi Gunawan, Hadi Haryati Heri Mahyuzar Heri Mahyuzar James, Bobby James, Bobby Arvian Januarsyah, Firly Joko Sutopo Julianda, Rindy Junaidi Junaidi Kasiono, Roy Kastum Kastum Kastum, Kastum Kevin Arya Josaphat Sitompul Khafid Nurohman Khana, Rajes Laras Sitoayu Lutfi Nugrahaini M. A. Burhanuddin Maharani, Delia Maharani, Shinta Aulia Mahardika, Fajar Mahyuzar, Heri Marliani, Tiara Marthy, Nicola Mohd Khanapi Abd Ghani Mubarak, Zulfikar Yusya Muhammad Nurdin Muhammad Syazidan Nabilah, Laila Nandang Sutisna Nisa, Faridatun Nizar, Amin Nugraha, Pramudya Nugrahaini, Lutfi Nugroho, Agung Yuliyanto Nugroho, Wisnu Dwi Nuradi, Fahmi Nurohman, Khafid Opi Irawansah, Opi Paidi, Imam Prayogo, Fadillah Abi Priyanto, Imansyah Purnasiwi, Rona Guines Purwasih, Intan Putri Wibowo, Salsabila Qolbi, Rofika Rachmat Hidayat Insani Rachmawati, Dea Noer Raden Dewa Saktia Purnama Raffiudin, Muhammad Raihanah, Syifa Ramadhan, Abhirama Huga Ramadhani, Devika Azahra Rasiban Ridho Akbar Rizki Maulana, Rizki Romadan, Diva Putra Saidah, Andi Saifullah, Shoffan Saktia Purnama, Raden Dewa Sarimole, Frencis Matheos Setiawan, Kiki Shofwatul ‘Uyun Sodik SOPAN ADRIANTO Sopan Adrianto Sri Lestari Sugeng Sugiono Sugiono Sugiyono Sugiyono Sugiyono Suropati, Untung Sutisna, Nandang Syani, Muhammad Tampubolon, Parlindungan Tasti, Andi Thalita Tiara Ratu Alifia Tresia, Eflin Tri Wahyudi Tundo Tundo Untung Suropati Wafiqi, Achmad Ulul Azmi Wagiman, Wagiman Waloeya, Farhan Adriansyah Wijonarko, Panji Yacob, Galih Satria