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All Journal IPTEK The Journal for Technology and Science Jurnal S2 Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika AlphaMath: Journal of Mathematics Education Proceeding SENDI_U Union: Jurnal Ilmiah Pendidikan Matematika Jurnal Matematika: MANTIK Journal of Mathematics and Mathematics Education (JMME) Jurnal Pembelajaran Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) JCES (Journal of Character Education Society) DoubleClick : Journal of Computer and Information Technology Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Jurnal Informatika Global Jurnal Studi Guru dan Pembelajaran Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal Abdi Insani Infotek : Jurnal Informatika dan Teknologi Jurnal Sains dan Edukasi Sains Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Nusantara Science and Technology Proceedings Infotech: Jurnal Informatika & Teknologi INTELEKTIVA Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat DECODE: Jurnal Pendidikan Teknologi Informasi KOMMAS: Jurnal Pengabdian Kepada Masyarakat Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Proceeding of International Conference Health, Science And Technology (ICOHETECH) Politeknosain Nusantara Journal of Computers and its Applications SmartComp Jurnal Pendidikan dan Sosial Humaniora

Nugroho Arif Sudibyo

Department Of Informatics Engineering, Faculty Of Computer Science, Universitas Duta Bangsa Surakarta

Author-ID : 2654035

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Pendekatan Algoritma Untuk Mencari Eksentrisitas Suatu Tree dengan Depth First Search Nugroho Arif Sudibyo; Tri Atmojo Kusmayadi
Jurnal DutaCom Vol 13 No 1 (2017)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (155.795 KB)

Suatu graf dapat didefinisikan sebagai suatu himpunan vertex-vertex (titik-titik) dengan beberapa di antaranya dihubungkan oleh edge (garis). Jarak dari vertex u dapat didefinisikan sebagai panjang path (lintasan) terpendek dari vertex u ke vertex lain dalam G. Eksentrisitas dari vertex u adalah jarak maksimum dari vertex u ke vertex lain dalam G. Dalam makalah ini akan diselidiki algoritma untuk menentukan eksentrisitas suatu tree menggunakan depth first search. Kata kunci: eksentrisitas, tree, depth first search

Digraf Eksentrik dari Graf Crown Nugroho Arif Sudibyo; Tri Atmojo Kusmayadi
Jurnal DutaCom Vol 9 No 1
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (157.285 KB)

Diberikan G suatu graf dengan himpunan berhingga vertex V(G) dan himpunan edge E(G). Jarak dari vertex u ke vertex v di G, dinotasikan d(u,v), adalah panjang dari path terpendek dari vertex u ke v. Eksentrisitas vertex u dalam graf G adalah jarak maksimum dari vertex u ke sebarang vertex yang lain di G, dinotasikan e(u). Vertex v disebut vertex eksentrik dari u jika d(u,v) = e(u). Digraf eksentrik ED(G) dari suatu graf G adalah suatu graf yang mempunyai himpunan vertex yang sama dengan himpunan vertex G, dan terdapat suatu arc (edge berarah) yang menghubungkan vertex u ke v jika v adalah suatu vertex eksentrik dari u. Dalam makalah ini diselidiki digraf eksentrik pada graf crown yang merupakan salah satu kelas graf

Analisis Hasil Belajar, Gender dan Self Regulated Learning (SRL) Mahasiswa Menggunakan Algoritma K-Means Clustering Muhammad Wahid Syaifuddin; Septiana Wijayanti; Nugroho Arif Sudibyo
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 2 No. 2 (2022): Juni : Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

The purpose of this research is to use a clustering algorithm on learning outcomes, gender, and SRL. In this study, the K-Means clustering method was used. In this study, the calculation process is assisted by Orange software. Determination of the number of clusters with Orange software based on the Silhouette Score. The results show that there are seven clusters with three variables, namely learning outcomes, gender, and self-regulated learning. From these clusters, it can be used for group formation and student mapping.

RUMAH UMKM INDUSTRI KREATIF PEMBUATAN PAKET PRODUK SANGKAR BURUNG DENGAN MEMANFAATKAN LIMBAH MEBEL DAN KAIN PERCA Nughthoh Arfawi Kurdhi; Nugroho Arif Sudibyo; Fanny Widadie; Dewi Retno Sari S
Jurnal Abdi Insani Vol 9 No 4 (2022): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v9i4.798

The creative industry is one of the solutions to the COVID-19 pandemic. The creative industry can adapt to changing times. MSME partners have problems in production, management, and marketing. The purpose of this service activity is to create industry products that are expected to become creative industry products that can compete. The method used is the 4P technique, the stages of implementation are observation, implementation, training, and mentoring. This community service activity took place in Ngemplak District, Boyolali Regency, Central Java Province. The partner mentoring process was carried out in Pandeyan Village for MSMEs Martha Mebel while Mukti Jaya's MSMEs took place in Gagaksipat Village. The training process for using the POS system is located in Gagaksipat Village where one of the community service members is located. During the training, he was also accompanied by students from the Mathematics Study Program, FMIPA UNS. The results of the training activities that have been carried out are that the training participants can operate the POS system. In this dedication activity, there was quite intense interaction between the participants and the presenters. At the end of this activity, participants can operate the POS system that has been developed. Participants can enter item and category data, besides that participants can make sales transactions and sales reports. The suggestion from this service activity is that there is support for devices and the internet that supports being able to access and edit the POS system that has been made.

Thinking Process of X Science Students in Web Design using Polya Ardymulya Iswardani; Nugroho Arif Sudibyo; Moh. Muhtarom; Muslimin
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Degree of thinking process affect student achievement. Measurement of the degree of thinking process with Polya is expected to obtain knowledge in the form of students thinking level abilities. Data collection of respondent used purposive sampling and snowball. The data then analyzed based on Polya. This study concluded that 10th-grade science students completely reach all four Polya.

Rancang Bangun Multimedia Pembelajaran Interaktif pada Mata Kuliah Eletronika Menggunakan Adobe Flash CS 6 Berbasis RAD (Rapid Aplication Development) Wahyu Hidayat; Nugroho Arif Sudibyo
Politeknosains Vol 17 No 2 (2018): Jurnal Politeknosains Volume 17 Nomor 2 - September 2018
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.935 KB)

This study aims to develop interactive multimedia learning products based on adobe flash CS 6 for electronics courses. Indonesia is a large country that has a very large population. The need for advanced technology is needed to assist the search for knowledge.One of the technologies used in teaching and learning systems is to use interactive multimedia using adobe flash CS 6. The method used in this research is the research and development method of Rapid Application Development (RAD). In Rapid Application Development (RAD) research model. which consists of 4 stages: (1) Requirement Planning, (2) Planning of Pseudo-Class Usage, (3) Construction of Pseudo Class (Construction), (4) Evaluation (Cut Over). The result of the research is interactive multimedia learning media using adobe flash CS 6 for electronics subject which can be reached by learners. This media can be used by learners and teachers to more interesting learners learn electronics.

PEMODELAN PREDIKSI KELULUSAN MAHASISWA DENGAN METODE NAÏVE BAYES DI UNIBA Nur Mahar Aji mahar; Vihi Atina; Nugroho Arif Sudibyo
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 6 No. 2 (2023): Misi Juni 2023
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v6i2.875

Kualitas perguruan tinggi dapat diukur berdasarkan akreditasi yang dikeluarkan oleh Badan Akreditasi Nasional Perguruan Tinggi atau BAN-PT. Salah satu kriteria penilaian akreditasi yaitu jumlah lulusan mahasiswa. Universitas Islam Batik Surakarta (UNIBA), merupakan salah satu perguruan tinggi swasta di kawasan Surakarta yang memiliki empat fakultas, dengan jumlah mahasiswa yang terus mengalami peningkatan maupun penurunan disetiap tahunnya. Penelitian ini menggunakan metode naïve bayes untuk melakukan prediksi terhadap kelulusan mahasiswa tepat waktu ataupun terlambat, dengan hasil prediksi yang dapat dijadikan sebagai informasi dan masukan data bagi perguruan tinggi untuk meningkatkan kualitas perguruan tinggi. Metode naïve bayes memiliki kelebihan, diantaranya dapat memprediksi jumlah kelulusan berdasarkan data–data konkrit, agar hasil yang diperoleh dapat dipertanggungjawabkan dan digunakan untuk prediksi selanjutnya. Dalam melakukan prediksi, diperlukan 14 variabel, antara lain jenis kelamin, status mahasiswa, umur, status menikah, indeks prestasi semester 1, indeks prestasi semester 2, indeks prestasi semester 3, indeks prestasi semester 4, indeks prestasi semester 5, indeks prestasi semester 6, indeks prestasi semester 7, indeks prestasi semester 8, indeks prestasi kumulatif, dan keterangan lulus. Dari data set sebanyak 302 mahasiswa dengan 14 atribut mahasiswa angkatan 2018 Universitas Islam Batik Surakarta dengan menggunakan bahasa pemrograman python dan software jupyter notebook, penulis memperoleh hasil akurasi ketepatan prediksi sebesar 85%, dengan nilai precision terlambat 0.42, precision tepat 0.95, recall terlambat 0.65, recall tepat 0.88, f1-score terlambat 0.51, f1-score tepat 0.91.

Pemodelan Sistem Pendukung Keputusan Pemilihan Supplier Batu Alam Dengan Algoritma Moora Pada Cv. Karisma Alam Aldi Wahyudi Arta; Vihi Atina; Nugroho Arif Sudibyo
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.12568

CV. Karisma Alam is one of the largest natural cutting industries in the Candirejo area. The best supplier is one of the most important factors in production activities at this company, because it will produce good output too. Due to the large number of suppliers in this region, it is difficult for entrepreneurs to determine which supplier is the best according to the output to be produced. In the decision-making process for selecting natural stone suppliers, it is still done manually, so production activities take a long time. This decision support system assists in the decision-making process in selecting natural stone raw material suppliers at CV. Karisma Alam. In this decision support system, criteria are needed to determine the best supplier. In this study the authors used the MOORA (Multi-objective Optimization on The Basic Of Ratio Analysis) method as a decision-making method. The method used in the preparation and design uses PHP (Hypertext Preprocessor). In this study it was produced that alternative A6 was the highest alternative with a value of 0.0031. This proves that decision support systems can help and be applied to CV. Karisma Alam in selecting the best supplier.

IMPLEMENTASI DATA MINING CLUSTERING UNTUK MENGETAHUI POTENSI PRODUKTIFITAS KACANG TANAH DI INDONESIA Herliyani Hasanah; Nurmalitasari Nurmalitasari; Nugroho Arif Sudibyo
NJCA (Nusantara Journal of Computers and Its Applications) Vol 5, No 1 (2020): Juni 2020
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Kondisi produktifitas kacang tanah yang mengalami fluktuasi, pemerintah perlu memberlakukan kebijakan tertentu di bidang pertanian. Dengan kebijakan tersebut diharapkan dapat mewujudkan ketahanan pangan tingkat nasional. Salah satu informasi yang dapat digunakan untuk mendukung kebijakan tersebut adalah pengelompokan provinsi di Indonesia berdasarkan hasil panen kacang tanah di Indonesia. Pengelompokan ini dilakukan karena beragamnya potensi hasil produksi kacang tanah di masing-masing provinsi, sehingga perlu dilakukan pengelompokan untuk mengetahui provinsi mana yang memiliki hasil produksi kacang tanah tertinggi sehingga dapat membantu untuk mengoptimalkan program-program pemerintah dibidang pertanian tanaman pangan. Pengelompokan tersebut menggunakan analisis cluster k-means. Dalam penelitian ini simulasi pemetaan menggunakan metode K-Means Clustering berbasis mobile. Proses pemetaan dilakukan berdasarkan 2 (dua) variabel yaitu luas panen (Ha) dan produksi (ton). Hasil pemetaan akan dikelompokkan menjadi dua (2) cluster, yaitu hasil panen tinggi dan rendah. Dari perhitungan manual, aplikasi mobile dan simulasi menggunakan Rapid Miner diperoleh hasil yang sama yaitu cluster 1 meliputi provinsi no 12 (Jawa Barat), 13 (Jawa Tengah) dan 15 (Jawa Timur). Sedangkan sisanya ada 20 data masuk ke cluster 0.

PELABELAN TOTAL TAK REGULER PADA BEBERAPA GRAF Nugroho Arif Sudibyo; Siti Komsatun
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 10 No 2 (2018): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2018.10.2.2840

For a simple graph G with vertex set V (G) and edge set E(G), a labeling $\Phi:V(G)\cup U(G)\rightarrow\{1,2,...k\}$ is called a vertex irregular total k- labeling of G if for any two diferent vertices x and y, their weights wt(x) and wt(y) are distinct. The weight wt(x) of a vertex x in G is the sum of its label and the labels of all edges incident with the given vertex x. The total vertex irregularity strength of G, tvs(G), is the smallest positive integer k for which G has a vertex irregular total k-labeling. In this paper, we study the total vertex irregularity strength of some class of graph.

Co-Authors Ade Susanti Adi Nurcahyo Adri Surya Kusuma Agustina Srirahayu Aldi Wahyudi Arta Anisatul Farida Ardymulya Iswardani Ardymulya Iswardani Arif Wicaksono Septyanto Atina, Vihi Bowo Winarno Budiyono Budiyono Deddy Rahmadi Dewi Retno Sari S Dewi Retno Sari Saputro Dewi Retno Sari Saputro, Dewi Retno Diari Indriati Dwi Purnama Edy Kurniawan Faizal Khusnul Ramatullah Fanny Widadie Galih, Rhezka Mahendra Hasanah, Herliyani Imam Sujadi Iswardani, Ardymulya Jamilatun Safitri Kartika Sari M. Wahid Syaifuddin Martini, Titin Sri Moh Muhtarom Mohamad Waluyo Muhammad Irfan Muhammad Irfan Muhammad Wahid Syaifuddin Muslimin Musthofa, Akbar Fadel Dwiki Naufal Ishartono Nughthoh Arfawi Kurdhi, Nughthoh Arfawi Nugroho, Suryanto Nur Mahar Aji mahar Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Permadi Eka Setyawan Pradipta Annurwanda Purnami Widyaningsih Putranto Hadi Utomo Putranto Hadi Utomo Putri, Nadia Amalia Rahma, Tara Kamila Ririn Setiyowati S Siswanto Septiana Wijayanti Setiyowati, Ririn Setyowati, Elis Siti Komsatun Siti Suprihatiningsih Supriyadi Wibowo Sutanto Sutanto Syaifuddin , M Wahid Tiyan Ganang Wicaksono Tri Atmojo Kusmayadi Tri Atmojo Kusmayadi Tri Purwanto Triana Harmini Tyan Ganang Wicaksono Vania, Kezia Abigail Vihi Atina Wahyu Hidayat Wahyu Hidayat Wahyu Hidayat Wijayanti, Septiana YOHANA PUTRA SURYA RAHMAD HIDAYAT Yohana Putra Surya Rahmad Hidayat Yohana Putra Surya Rahmad Hidayat

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