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All Journal Jurnal Ilmiah Informatika Komputer 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 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 Innotech Computer Journal ABDINE :Jurnal Pengabdian Masyarakat
Tundo, Tundo
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Penentuan Penerima BSM Secara Objektiv Berdasarkan Metode Decision Support System VIKOR Tundo, Tundo; Akbar, Riolandi; Nugroho, Agung Yuliyanto; Saidah, Andi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 2 (2024): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i2.10434

Abstract

This research was conducted because of complaints from several parents regarding the BSM decision at SDN Kalanganyar ABC, however there were several students who were less well off because the choice of BSM was still subjective. SDN Kalanganyar ABC always holds activities related to BSM admissions once a year. It is hoped that this activity can also provide benefits for students who are poor but have excellent grades so they can carry out activities without being burdened by financial needs. In reality, there are still many students who do not receive BSM, even though according to the requirements, these students should be entitled to receive BSM. Therefore, there is a very irrational subjectivity in the ongoing elections. To overcome this problem, researchers tried to develop an application that applies the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, namely a method that makes decisions based on a rational compromise of criteria. These criteria include student reports, parents' income, academic achievement, dependents, home conditions, parents' relatives, and activity. From the results of the analysis and application of the VIKOR decision support system, subjective results were obtained for students whose evaluation standards and final decisions were lower than several other students, but the school provided BSM recommendations. To prevent the recurrence of this incident, VIKOR was able to answer objective findings with results of 76.57% with subjective findings of 23.43% in the previous system.
Prototipe Sistem Monitoring Kelembapan Tanah pada Tanaman Cabai Berbasis Internet of Things dengan Metode Fuzzy Logic Menggunakan NodeMCU Esp8266, Blynk dan Thingspeak: Prototype of Soil Moisture Monitoring System for Chili Plants Based on Internet of Things Using Fuzzy Logic Method with NodeMCU ESP8266, Blynk, and ThingSpeak Romadan, Diva Putra; Arinal, Veri; Sarimole, Frencis Matheos; Tundo, Tundo
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.v5i1.1600

Abstract

Pengelolaan kelembapan tanah yang optimal sangat penting untuk pertumbuhan tanaman cabai, namun sering kali menjadi tantangan bagi petani, terutama dalam memastikan irigasi yang efisien. Masalah utama yang dihadapi adalah kesulitan dalam memantau dan mengontrol kondisi tanah secara real-time, yang sering kali menyebabkan penyiraman berlebihan atau kurang. Penelitian ini bertujuan untuk mengembangkan prototipe sistem monitoring kelembapan tanah berbasis Internet of Things (IoT) dengan menggunakan NodeMCU ESP8266. Sistem ini mengintegrasikan sensor tanah, suhu, dan kelembapan udara, di mana data dikirimkan secara real-time ke aplikasi Blynk untuk pemantauan dan kontrol jarak jauh. Metode Fuzzy Logic diterapkan untuk mengoptimalkan irigasi secara otomatis berdasarkan data sensor, sementara ThingSpeak digunakan untuk penyimpanan dan analisis data jangka panjang. Hasil pengujian menunjukkan bahwa sistem ini efektif menjaga kelembapan tanah pada tingkat ideal dan menghemat penggunaan air. Kesimpulannya, sistem ini memberikan solusi praktis dan efisien bagi petani dalam mengelola irigasi tanaman cabai secara berkelanjutan.
Analisis Tingkat Kepuasan Mahasiswa dalam Kegiatan UKM di Stikom CKI Menggunakan Algoritma Naive Bayes Arvianto, Ramdani; Tundo, Tundo; Tresia, Eflin; Januarsyah, Firly
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp206-214

Abstract

The main problem in increasing the level of student satisfaction in UKM activities at STIKOM CKI is caused by various factors, including the rare frequency of meetings and the multiplication of material without significant development. This dissatisfaction can reduce students' interest in actively participating in UKM activities, which should be a source of positive experiences and skills development. Well-managed SME activities can be an important means of developing soft skills such as leadership, team collaboration and communication skills. However, when these activities are not managed well, the results can be counterproductive, causing frustration and dissatisfaction among students. Based on these problems, an application of the Naive Bayes algorithm will be carried out to determine the satisfaction level of STIKOM CKI students with 80 training data and 6 test data. After calculating, an accuracy rate of 83.33%, recall of 33.33%, and precision are obtained. 100%. Therefore, it is important to manage student satisfaction levels to avoid being counterproductive. One of the appropriate data mining algorithms to solve the case above is to use the Naive Bayes algorithm.
Penerapan Data Mining Menggunakan Algoritma Apriori pada Brand Milenials Cafe Gunawan, Hadi; Tundo, Tundo; Ramadhani, Devika Azahra; Waloeya, Farhan Adriansyah
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp215-221

Abstract

Millennials Café is a cafe that just opened in March 2024, in an effort to stay relevant and competitive in this field, Millennials Café needs to continue to innovate and adjust to customer preferences. One way is to utilize data mining technology. The Apriori algorithm is one of the data mining technologies that can be used. The application of the apriori algorithm to the Milenials Café transaction data aims to find association rules to be able to generate frequencies and relationships between one or more items in the transaction data in the Milenials Café. This research produces 33 association rules that can help the sales strategy at Milenials Café. The following are the association rules with the highest confidence value, namely the Thai Tea menu, Milo Dinasourus, 100% Millennials Pizza, Hezelnut Chocolate, Oreo Cookies and Cream Shake 97%. Millennials Pizza, Fried Potatoes 96%. The 33 rules that already exist can be used as a reference for the owner of Millennials Café to create a sales strategy that can increase cafe revenue.
Penerapan dan Kontribusi Kecerdasan Buatan ChatGPT Untuk Menafsir Teks Hukum (Studi Kasus Penafsiran Pasal 10, Pasal 13, Permenkes No.889 Tahun 2011) Wijonarko, Panji; Wagiman, Wagiman; Khana, Rajes; Tundo, Tundo; Salam, Abdus; James, Bobby; tampubolon, parlindungan
Jurnal Kajian Teknik Elektro Vol 8, No 2 (2023): JKTE VOL 8 NO 2 (SEPTEMBER 2023)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v8i2.7061

Abstract

ChatGPT adalah model bahasa berbasis kecerdasan buatan yang dikembangkan oleh OpenAI. Salah satu aspek kritis dalam penerapan ChatGPT adalah kemampuannya untuk memahami, menafsirkan, dan memanfaatkan informasi yang terdapat dalam peraturan atau sebuah pedoman resmi. Hal ini tentunya sangat membantu dalam melakukan pekerjaan, salah satunya pada bidang Hukum, yaitu kemungkinan melakukan analisis interpretasi hukum, mengeksplorasi kemampuan ChatGPT untuk menafsir, memberikan interpretasi atau penjelasan tentang peraturan atau klausal hukum tertentu berdasarkan fakta-fakta atau skenario yang diberikan. Penelitian ini membahas mengenai Penerapan Dan Kontribusi Kecerdasan Buatan ChatGPT Untuk Menafsir Teks Hukum (Studi Kasus: Pasal 10, Pasal 13 Permenkes No.889 Tahun 2011). Penelitian akan difokuskan pada apakah ChatGPT dapat melakukan penafsiran pada kata “dianggap” pada bunyi Pasal 10 Ayat (1) yang menyebutkan Apoteker yang baru lulus pendidikan profesi: “dianggap telah lulus uji kompetensi”. Eksplorasi ChatGPT juga dilakukan dalam menafsir kata “dapat memperoleh”, pada Pasal 13 Ayat (1) “dapat memperoleh STRA (Surat Tanda Registrasi Apoteker) secara langsung”. Kedua pasal di atas dianggap ambigu karena penafsiran yang dilakukan bisa saja menjadi subjektif terlebih jika memiliki kepentingan tertentu di dalam mengambil keputusan. Eksplorasi dilakukan dengan memasukkan skenario pertanyaan tentang kedua pasal tersebut ke dalam GPT-3.5 dan juga GPT-4. Hasil eksplorasi menunjukkan bahwa ChatGPT memiliki kemampuan untuk melakukan penafsiran terhadap teks hukum. ChatGPT dapat memberikan kontribusi dan menjadi opsi masukan bagi praktisi hukum terhadap ketentuan yang ambigu ataupun sulit ditafsir oleh manusia, hal ini karena ChatGPT dianggap sebuah mesin yang netral dan tidak terpengaruh terhadap perasaan ataupun kepentingan. Kontribusi ChatGPT juga dapat memberikan efesiensi, baik dari aspek waktu maupun sumber daya manusia dalam lingkup praktisi hukum.
Sebuah Komparasi Metode WASPAS dan WP: untuk Penentuan Kandidat Lurah Pondok Tundo, Tundo; Gatra, Rahmadhan; Wijonarko, Panji; Salam, Abdus; James, Bobby Arvian; Tampubolon, Parlindungan
Jurnal Kajian Teknik Elektro Vol 8, No 2 (2023): JKTE VOL 8 NO 2 (SEPTEMBER 2023)
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jkte.v8i2.6995

Abstract

Penelitian ini menerangkan perbandingan metode Decision Support System Weighted Aggregated Sum Product Assesment (WASPAS) dan Weighted Product (WP) dalam menentukan kandidat lurah pondok di Pondok Pesantren Al-Munawwir Krapyak L Yogyakarta, dengan tujuan untuk mengurangi adanya pemilihan kandidat lurah pondok yang bersifat subjektif, serta untuk mengetahui perbedaan dari kedua metode dalam menangani kasus penentuan kandidat lurah pondok. Setelah dilakukan penelitian, hasil tiga kandidat lurah pondok yang layak menurut metode WASPAS adalah RdS menempati peringkat pertama, AhL menempati peringkat kedua, dan ChZ menempati peringkat ketiga, sedangkan menurut metode WP adalah AhL menempati peringkat pertama, RdS menempati peringkat kedua, dan ChZ menempati peringkat ketiga, dari beberapa pilihan alternatif santri yang ada. Hasil peringkat kandidat lurah pondok yang menempati peringkat tiga terbesar dengan menggunakan metode WASPAS dan WP adalah sama, hanya bertukar peringkat. Maka kedua metode ini dapat digunakan dalam menentukan kandidat lurah pondok di Pondok Pesantren Al-Munawwir Krapyak Komplek L Yogyakarta.
An Alternative in Determining the Best Wood for Guitar Materials Using MOORA Method Tundo, Tundo; Nugroho, Wisnu Dwi
IJID (International Journal on Informatics for Development) Vol. 9 No. 1 (2020): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2020.09106

Abstract

This study aims to assist wood craftsmen in Dongkelan, Krapyak, Yogyakarta in determining the best wood to be used as guitar material, because there are frequent complaints from buyers that the materials used as guitar materials are rotten quickly and are dull in terms of color. Based on these problems, a solution is sought using the Multi Objective Optimization on the basis of Ratio Analysis (MOORA) decision support system method, and is assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long time discussing the correct criteria were found based on the problem, in the form of criteria for wood strength, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA decision support system method. After processing, the best results are obtained. The right wood for guitar making is ebony with 23.6831 results occupying the first rank. Proving the results of the MOORA decision support system method, a questionnaire was carried out directly to several guitar makers with a total of 14 people, resulting in an accuracy of 85.71% which means that it has significant verification, that ebony wood is best used as a guitar-making material
MODEL ALGORITMA KNN UNTUK PREDIKSI KELULUSAN MAHASISWA STIKOM CKI Tiara Ratu Alifia; Tundo Tundo; Muhammad Syazidan; Faldo Satria
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.v29i2.11803

Abstract

This study develops a student graduation prediction model using the K-Nearest Neighbor (KNN) algorithm, considering variables such as age, Grade Point Average (GPA), number of Credits Earned (CE), participation in TOEFL tests, seminar activities, and participation in internships. Data from 80 students in the computer engineering and information systems programs at STIKOM Cipta Karya Informatika were analyzed to train and test the model. The results show that the KNN model with K=3, K=4, and K=5 produces a prediction accuracy of 66,67%. GPA and the number of credits earned significantly influence graduation, while participation in internships and TOEFL tests also contribute. Seminar certificates and age have a lower impact. These findings indicate that the KNN algorithm is effective for predicting student graduation, providing insights for educational institutions to enhance academic programs and student development.
Penerapan Algoritma Naive Bayes Dalam Mengetahui Pola Pengguna Keluarga Berencana Pada Tempat Praktek Mandiri Bidan (TPMB) Lilik Faiqoh Sugiono, Sugiono; Marliani, Tiara; Sarimole, Frencis Matheos; Tundo, Tundo
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61406

Abstract

Seiring kemajuan teknologi dan informasi yang semakin berkembang, dan menjadikan masyarakat paham akan pentingnya segala informasi, termasuk tentang Keluarga Berencana atau KB. Berdasarkan observasi dan wawancara dengan bidan Lilik Faiqoh bahwa yang menjadi masalah kurangnya penyuluhan terhadap masyarakat, supaya masyarakat paham apa saja alat kontrasepsi yang ada di TPMB Lilik Faiqoh Jakarta Timur. Untuk mengatasi masalah tersebut, maka Algoritma Naive Bayes merupakan salah satu algoritma machine learning yang dapat digunakan untuk mengklasifikasikan data. Tujuan dari penelitian ini adalah untuk menentukan penerapan Algoritma Naive Bayes dalam mengetahui pola pengguna Keluarga Berencana pada TPMB Lilik Faiqoh dengan mencakup identifikasi jenis kontrasepsi (KB) yang paling sering digunakan. Kemudian untuk data Keluarga Berencana ini akan dilakukan dengan proses penerapan metode CRISP-DM. Penelitian ini diharapkan dapat meningkatkan layanan TPMB Lilik Faiqoh dan memberikan manfaat yang lebih besar bagi masyarakat setempat dalam hal penyediaan layanan kesehatan.
Assessment of the President of BEM Using the Weighted Product Method at XYZ University Tundo, Tundo; Nugroho, Agung Yuliyanto; Saidah, Andi
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.21075

Abstract

The election of the BEM President is a hereditary tradition at XYZ University every year. This election was carried out to find a leader who has a firm personality and broad insight. As the number of students at XYZ University increased, we doubled the election using the Weighted Product (WP) method with the conditions that we had determined with the campus. So we are sure that this method will produce the leaders we expect, and also in this way the campus automatically saves budget for voting or direct elections. The WP method which is quantitative in decision making, the WP method uses multiplication to link attribute ratings, where the rating of each attribute must be raised to the first power of the attribute weight in question. By applying the WP method to decision support system, then implementing it into a ranking system, it will produce students who deserve to become BEM in the next period. There is a WP method at XYZ University in order to get a BEM President who meets the criteria we set. Where the existing criteria consist of TPA criteria, Liveliness, Commitment, GPA, Absent, and Age. After calculating using the WP method, it was found that the strongest student who deserved to be president of BEM was Siti Munawaroh who was ranked first. The results of the recommended method by conducting a questionnaire to the BEM management by producing an accuracy of 0.01356.
Co-Authors Abdus Salam, Abdus Agung Yuliyanto Nugroho Ahmad Satria Rizqi Maula Akbar, Rasyan Akbar, Riolandi Akbar, Yuma Alief Prima Gani Amelia, Ika Andhika Pramudya Andi Ode Larios Anisah Nurul Azhar Arinal, Veri Arvianto, Ramdani Aryanti, Putri Gea Atsilah Daini Putri 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 Devika Azahra Ramadhani Dewantara, Rizki Dewanti, Elsa Mayorita Dharmawan, Tio Dita Tri Yuliantoro Doni Kurniawan Doni Kurniawan Eflin Tresia Eldina, Ratih Enny Itje Sela Fadillah Abi Prayogo Fakhrurrofi Fakhrurrofi Fakhrurrofi, Fakhrurrofi Faldo Satria Farhan Adriansyah Waloeya Faridatun Nisa Farras Abiyyu Handoko Fauzan Ibnu Sarky Firly Januarsyah Galih Satria Yacob Gatra, Rahmadhan Hadi Gunawan Hadi Gunawan, Hadi Haryati Heri Mahyuzar Heri Mahyuzar Humam Mu'asyir Husain Rahmani James, Bobby James, Bobby Arvian Januarsyah, Firly Joko Sutopo Junaidi Junaidi Kasiono, Roy Kastum Kastum Kastum Kastum, Kastum Kevin Arya Josaphat Sitompul Khafid Nurohman Khana, Rajes Kiki Setiawan Laily Nurmayanti Lutfi Nugrahaini M. A. Burhanuddin Maharani, Delia Maharani, Shinta Aulia Mahardika, Fajar Mahyuzar, Heri Marcia Rizky Hamdala Marliani, Tiara Marthy, Nicola Mohd Khanapi Abd Ghani Muhammad Derry Oktaviandi Muhammad Nurdin Muhammad Nurdin Muhammad Raffiudin Muhammad Rizqi Ramadhan Muhammad Syazidan Nabilah, Laila Nandang Sutisna Nandang Sutisna Nenden Nuraini Nisa, Faridatun Nizar, Amin Nugraha, Pramudya Nugrahaini, Lutfi Nugroho, Agung Yuliyanto Nugroho, Wisnu Dwi Nuradi, Fahmi Nurohman, Khafid Paidi, Imam Pramudya Nugraha Prayogo, Fadillah Abi Priyanto, Imansyah Putri Wibowo, Salsabila Qolbi, Rofika Rachmat Hidayat Insani Rachmat Hidayat Insani Rachmawati, Dea Noer Raden Dewa Saktia Purnama Raffiudin, Muhammad Raihanah, Syifa Raisah Fajri Aula Ramadhan, Abhirama Huga Ramadhani, Devika Azahra Ramdani Arvianto Rasiban Rasiban Ridho Akbar Rindy Julianda Riolandi Akbar Rizki Maulana, Rizki Rohmat Wijaya Romadan, Diva Putra Rona Guines Purnasiwi Saidah, Andi Saifullah, Shoffan Saktia Purnama, Raden Dewa Sarimole, Frencis Matheos Setiawan, Kiki Shindy Apriani Shofwatul ‘Uyun Sodik Sopan Adrianto SOPAN ADRIANTO SRI LESTARI Sugeng Sugiono Sugiono Sugiyono Sugiyono Sugiyono Sugiyono Suropati, Untung Sutisna, Nandang Syani, Muhammad Syifa Raihanah Tampubolon, Parlindungan Tasti, Andi Thalita Tiara Ratu Alifia Tresia, Eflin Tri Wahyudi Tri Wahyudi Tundo Tundo Untung Suropati Untung Suropati Wafiqi, Achmad Ulul Azmi Wagiman, Wagiman Waloeya, Farhan Adriansyah Wijonarko, Panji Wisnu Dwi Nugroho Yacob, Galih Satria Yudisman Ferdian Bili