Article Per Year (5 Year)
p-Index From 2021 - 2026
10.019
P-Index
This Author published in this journals
All Journal AGREGAT Jurnal Laut Khatulistiwa EXTRAPOLASI: Jurnal Teknik Sipil Jurnal Abadimas Adi Buana JURNAL PENDIDIKAN TAMBUSAI Ge-STRAM: Jurnal Perencanaan dan Rekayasa Sipil JPPS (Jurnal Penelitian Pendidikan Sains) Jurnal Ilmiah Profesi Pendidikan HUKUM BISNIS Publikasi Riset Orientasi Teknik Sipil (Proteksi) Extrapolasi Rekayasa: Jurnal Teknik Sipil Sivitas : Jurnal Pengabdian dan Pemberdayaan Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Seminar Nasional Ilmu Terapan Jurnal Mediakita : Jurnal Komunikasi dan Penyiaran Islam JURNAL ILMIAH GEMA PERENCANA Jurnal Ilmiah Research Student Asian Journal of Social and Humanities IT-Edu: Jurnal Information Technology and Education ⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Journal of Emerging Information Systems and Business Intelligence (JEISBI) Journal of Education Technology and Information System Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi Mizan: Journal of Islamic Law
BAMBANG SUJATMIKO
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 106 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 106 Documents
Search

 3   4   5   6   7 
Implementasi Algoritma FP Growth Untuk Menganalisa Pola Pembelian Barang (studi kasus : Koperasi) Sabila K.S., Nella; Sujatmiko, Bambang; Andriani, Anita
Inovate Vol 6 No 2 (2022): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i2.3173

Abstract

Analyzing piles of sales transaction data turns out to be able to produce information, one of which can take a recommendation and layout decisions of goods such as arranging goods according to association patterns, doing discount or cheap redemption prices on products that are less desirable based on the results of the association pattern, and information on goods that are not in demand. less desirable according to association rules. The association pattern has several solutions, one of which is using the fp growth algorithm. The purpose of using the fp growth algorithm is to find out frequent itemset data sets, in this study the authors apply the fp growth algorithm and association rules to cooperative data for the 1 day period of 2019. The results of this study are to produce applications that can make it easier for cooperatives to take A decision uses 20 sample data to look for association rules and FP growth, which can analyze consumer habits in making purchases, with an average percentage of support values of 9.09% and a confidence value of 100% Keywords: Data Mining, Fp Growth, Association rules, recommendations
Rekayasa Sistem Pendukung Keputusan Dengan Algoritma ID3 Dalam Penentuan Jurusan Akademik (Studi Kasus : SMA Negeri 3 Ngajuk) Prasetiyo, Rinto; Sujatmiko, Bambang; Ali, Mahrus
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3677

Abstract

Designation is the process of selecting and determining the interest of students in the subject area or skill competency offered by the education unit. The majors process at SMA Negeri 3 Nganjuk begins when the student has been accepted by the school, after which the student takes a major test. In the majors at SMA Negeri 3 Nganjuk, the majors process still uses Microsoft Excel so it takes a long time for majoring students. Because of that, we need a system that can process students effectively and efficiently. The ID3 algorithm is widely used to solve various majors problems. The solution in the ID3 algorithm is based on mathematical calculations that determine the entropy and gain values ​​used in the formation of a decision tree. The ID3 algorithm produces a decision tree that is good enough to be used in majors because this algorithm can solve multi-criteria and multi-objective problems. The results of this study indicate that the manual calculation needs to be shortened in the calculation of the program so that it can produce a majors flow. If it is not shortened it will result in an error in the program. The results of calculating 100 sample data in the first result produce a total entropy of 0.8813, in the second calculation it produces a total entropy of 0.9403, in the third calculation it produces a total entropy of 0.9367. After that a rule is formed which is used as a benchmark for student majors. The final result of the majors shows that the students' scores resulted in more students entering the social studies department than the Mathematics and Natural Sciences majors. Keywords: Pointing, Value, ID3 Algorithm
Implementasi Algoritma Apriori Untuk Menentukan Strategi Pemasaran Bilqis Ismail Putri, Tiara; Sujatmiko, Bambang; Andriani, Anita
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3680

Abstract

Store X is retail that provide a variety of toys for girls and boys. Every day the sales transaction data Store X will definitely increase and accumulate. So that data does not accumulate it is good can be used to know the habits of the buyer or of buyer behavior of goods purchased. How to search the goods sold simultaneously can use the data mining methods, which is a technique to analyze large-sized data by finding relationships among the data or the search combination and rule. The search for a combination is done with the process of merging (join) and pruning (prune) items called apriori algorithm. This research resulted in a website-based system by testing data sales transactions as many as 30 data a memorandum of the transaction with a minimum support of 35% and minimum confidence of 75%. So as to form one rule, namely, if buy a Meja Belajar K then will buy a Kreatif Block Tas with the value of the support 36.67% and the value of the confidence 78.57%. Keywords : Association, Apriori Algorithm, The Transaction Data, Sales
PENGGUNAAN PENDEKATAN NAIVE BAYES DALAM APLIKASI DIAGNOSIS PENYAKIT SERTA SYARAT HIDUP TANAMAN MELON BERBASIS WEBSITE (STUDI KASUS: DESA JATIMLEREK KECAMATAN PLANDAAN KABUPATEN JOMBANG ) Muchammad Rizal Bahrevi; Mufarrihah, Iftitaahul; Sujatmiko, Bambang; Reza Augusta Jannatul Firdaus
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7249

Abstract

Melon (Cucumis melo L.) is the name of a fruit plant as well as a fruit producer that belongs to theCucurbitaceae family. Many farmers try to grow melon plants but are unsuccessful due to diseases orignorance of the environment in which the melon lives. Farmers can better control melon plant infections byhaving knowledge of the different types of diseases that attack it. The success rate of disease control in melonplants can be determined by the accuracy of the method and target of the disease being controlled. NaiveBayes algorithm is a technique that will be applied in the system to identify various diseases and livingconditions of melon plants. A probability classification called Naive Bayes creates a set of possibilities bysumming the combination values and frequencies of a particular data set. In this research, a system fordiagnosing diseases and living conditions of melon plants by implementing Naive Bayes was developed.This system is built using html, php, and mysql programming languages and the use of bootstrap framework.Tests were conducted on several users to evaluate the performance, functionality, and effectiveness of thesystem. The test results show that the accuracy rate reaches 79.2%.Keywords: Implementation, Naive Bayes, Diagnosis, Melon Plant, Websites.
ANALISIS PENENTUAN KLASIFIKASI NILAI KANDUNGAN GIZI PADA MAKANAN DAN MINUMAN INSTAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEBSITE SEBAGAI ALTERNATIF PENCEGAHAN DIABETES MELITUS Imron Rosadi; Sujatmiko, Bambang; Tanhella Zein Vitadiar; Setyo Permadi, Ginanjar
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7264

Abstract

This study applies the Simple Additive Weighting (SAW) method to select healthy instant food andbeverage products to prevent Diabetes Mellitus. The developed web-based system evaluates nutritionalcriteria such as energy, sugar, saturated fats, sodium, fruits and vegetables, protein, and fiber. This systemassists consumers in making healthier food choices and supports efforts to prevent Diabetes Mellitus. It isalso expected to contribute to public health improvement through better nutritional education.Keywords: Simple Additive Weighting (SAW), Instant food and beverage products, Diabetes Mellitusprevention, Nutritional criteria, Web-based system, Healthier food choices, Public health, Nutritionaleducation.
PEMILIHAN KUALITAS INDUKAN IKAN KOI MENGGUNAKAN METODE MULTI- OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) (STUDI KASUS MOLLY JAYA INDONESIA) M. Awang Putratama; Sujatmiko, Bambang; Hadi Sucipto; Reza Augusta Jannatul Firdaus
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7277

Abstract

AbstractThe ornamental fish farming industry in Indonesia has experienced rapid growth in recent years. This isdriven by the high demand for ornamental fish both domestically and abroad. Ornamental fish have highaesthetic value and can be beautiful decorations for homes, offices, and other places. One of the importantfactors in ornamental fish farming is the selection of the right type of fish. The type of fish chosen must besuitable for environmental conditions and have a high selling value. There are many types of ornamentalfish available on the market, so it is necessary to make the right choice to maximize the profits fromornamental fish farming. One of the decision-making methods that can be used to select ornamental fish isMulti-Objective Optimization on the Basis of Ratio Analysis (MOORA).MOORA is an MCDM method used to select the best alternative from several alternatives based on severalcriteria. Molly Jaya Indonesia is a micro-scale company engaged in the ornamental fish cultivation andsales sector, especially freshwater ornamental fish such as molly fish, koi fish, and betta fish. Molly JayaIndonesia is located in Dusun Surowono, Canggu Village, Badas District, Kediri Regency. Initially, MollyJaya Indonesia was a family business and has been passed down to the fourth generation. The name MollyJaya Indonesia was coined in 2018 and in 2019 began to enter the digital business through social media.One of the obstacles faced by Molly Jaya Indonesia is the lack of efficiency in selecting broodstock with aquality level that has been predetermined, because the sorting procedure in selecting these fish is still donemanually, which requires extra care and patience to identify the fish one by one. Therefore, knowledge isSistem Pendukung Keputusan Pemilihan Indukan Ikan Koi Menggunakan Metode Multi-ObjectiveOptimization On The Basis Of Ratio Analysis (MOORA) (studi kasus Molly Jaya Indonesia)191needed in the selection of koi fish that will be used as broodstock. There are many criteria that can beconsidered in the selection, including the type of koi fish, the shape of the fish's body, the number of colorsand patterns, the age of the fish, and the physical integrity of the fish whether there are any defects or not.This research aims to create an application that helps Molly Jaya Indonesia to determine the koi fish thatwill be used as broodstock by entering the criteria that have been set. Then the data is processed andgraded or ranked using the MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis)method. This system is expected to be useful to improve efficient and effective performance.Kata Kunci: koi, moora, quality
Analisis Tingkat Keamanan File Dokumen Menggunakan Algoritma Advanced Encryption Standard (AES) -, Hasan Shadzily; Bambang Sujatmiko
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9251

Abstract

Data security in document files that are sent or stored digitally is one of the problems in the current technological era. Especially the use of digital platforms to share information can be a target for data theft, so a solution is needed to protect the confidentiality and integrity of data sent over the internet network. One way to solve this problem is to implement a secure and easy-to-implement cryptographic algorithm, one of which is the Advanced Encryption Standard (AES) with a key length of 128 bits. AES is an algorithm that has proven its security and is widely used to protect data in various applications. By encrypting document files using AES, data sent via digital platforms can be protected and prevent access from unauthorized parties, because only those who have the key can decrypt it. The results of the ciphertext randomness test using Shannon entropy obtained an average entropy value of 7.96. This value proves that the randomness level of the ciphertext is very high, approaching the maximum value of 8 which produces a random ciphertext, thus strengthening data security from potential pattern analysis or cryptanalyst attacks.
Pengembangan Program Pembelajaran Keterampilan Berpikir Komputasional Untuk Siswa Sekolah Indonesia Davao (SID) Filipina Wibawa, Ramadhan Cakra; Sujatmiko, Bambang; Anistyasari, Yeni; Basatha, Rizky; Akbar, Muhammad Sonhaji; Elfaiz, Ersha Aisyah; Putra, Cendra Devayana; Abdillah, Rifqi; Habibi, Mohammad Wildan
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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

Abstract

Pada era globalisasi yang berkembang pesat, pendidikan abad ke-21 menuntut integrasi literasi, pengetahuan, keterampilan, sikap, dan penguasaan teknologi sebagai komponen esensial dalam proses pembelajaran. Salah satu keterampilan kunci yang perlu dikuasai adalah berpikir komputasional sebagai fondasi dalam mempersiapkan generasi muda menghadapi dunia kerja yang semakin canggih dan kompleks. Tujuannya untuk melaksanakan dan mengevaluasi program pelatihan pembelajaran keterampilan berpikir komputasional di Sekolah Indonesia Davao (SID). Melalui metode offline/luring berupa ceramah, diskusi, tanya jawab, dan project-based learning, program ini dirancang untuk meningkatkan pemahaman guru serta mengembangkan kesiapan siswa dalam menghadapi tantangan era digital. Hasil pelaksanaan menunjukkan peningkatan signifikan dalam pemahaman guru melalui penyampaian materi yang relevan, metode yang efektif, serta alokasi waktu yang terstruktur. Secara keseluruhan, program ini memberikan kontribusi positif terhadap pengembangan kompetensi guru dan kesiapan siswa menjadi individu yang kompeten, adaptif, dan inovatif di tengah perkembangan teknologi yang dinamis.
Developing LMS for Project-Based Learning to Enhance Web Programming Skills in Students Titah Pertiwi, Widya; Sujatmiko, Bambang
Journal of Education Technology and Information System Vol. 1 No. 01 (2025): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v1i01.35800

Abstract

Abstract. The Learning Management System (LMS) named "BrainBoost" was designed by researchers to determine the differences and increase students' cognitive and psychomotor competencies in web server side scripting programming based on Project Based Learning (PJBL). This research adopts an R&D (Research and Development) approach. The ADDIE model became the basis for designing and carrying out this research. The creation of this website developed LMS MOODLE version 4.4 using vscode software with the programming language PHP (Hypertext Preprocessor) version 8.1.25 and JS (Java Script). The database uses MySQL and the online compiler used is CodeMirror version 5. Analysis of learning media, teaching materials, test questions, and Learning Implementation Plans (RPP) shows a high level of conformity with validity criteria. The percentage of validation assessments for each device reached a very satisfactory figure, with media at 91.2%, material at 96%, test questions at 95.45%, and lesson plans at 86.66%. Based on expert assessments, this learning media has a very high level of validity, namely 92.32%. These results indicate that the media has met the criteria and is ready to be used in the learning process. The average cognitive pretest score is 48.60. The average score for the cognitive posttest was 88. The results of the analysis showed that the average score for students' psychomotor abilities increased significantly from 55 in the pretest to 88.6 in the posttest. Hypothesis results in cognitive tests and psychomotor tests using the paired T-test show a Sig. (2 tailed) <.001. This study shows that implementing an LMS can effectively increase student competency in the Web Programming subject class XII RPL 1 at SMKN 2 Surabaya. Keywords: ADDIE; Cognitive; Learning Management System (LMS); Project-Based Learning; Psychomotor
Pengaruh Modul Pembelajaran dengan Model Pendekatan Problem Based Learning untuk Meningkatkan Kompetensi Siswa dalam Mata Pelajaran Administrasi Server Studi Kasus di SMK Negeri 2 Surabaya Prasetio, Cahyo Eko; Sujatmiko, Bambang
IT-Edu : Jurnal Information Technology and Education Vol. 3 No. 1 (2018): Volume 03 No 1 2018
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/it-edu.v3i1.23077

Abstract

Berdasarkan pengamatan saat melaksanakan program pengelolaan pembelajaran proses belajar mengajar masih didominasi oleh pendidik. Penelitian ini bertujuan untuk mengetahui hasil belajar peserta didik dalam materi analisa kebutuhan server untuk lalu lintas dan aplikasi jaringan komputer dengan menggunakan pendekatan problem based learning dan motivasi belajar siswa terhadap pendekatan problem based learning. Metode penelitian menggunakan jenis eksperimen dengan true experimental design dalam bentuk posttest only control design. Metode ini menggunakan dua kelompok sampel dipilih secara acak. Kelompok kontrol yang tidak diberikan perlakuan, sedangkan kelompok eksperimen yang diberikan perlakuan berupa modul pembelajaran dengan pendekatan problem based learning. Setelah pemberian perlakuan, kedua kelompok akan diberikan posttest untuk mengetahui hasil belajar dari masing-masing kelompok. Berdasarkan hasil penelitian, validasi modul mendapatkan hasil rating sebesar 95,56% dan termasuk dalam kategori sangat valid, sehingga dapat disimpulkan bahwa modul layak digunakan untuk penelitian. Hasil dari motivasi belajar siswa terhadap pembelajaran menggunakan pendekatan problem based learning diketahui rata-rata sebesar 74,70 yang dapat dikategorikan baik. Dapat disimpulkan bahwa penggunaan modul pembelajaran dengan pendekatan problem based learning dinilai baik dalam proses pembelajaran. Lalu hasil uji hipotesis, rata-rata nilai hasil belajar kelas kontrol sebesar 74,57 dan kelas eksperimen sebesar 81,90, sehingga dapat disimpulkan bahwa hasil pembelajaran menggunakan pendekatan problem based learning memperoleh hasil belajar yang lebih tinggi. Kata Kunci: Problem Based Learning, Hasil Belajar, Motivasi Belajar
Co-Authors -, Hasan Shadzily Abdillah, Rifqi Abi, Muhammad Ilman Adi Susanto, Adi Susanto Advan Navis Zubaidi Afrilia, Pramita Afrizal Bakhri, Muhammad Agus, An Ahmad Fakhruddin Fajrul Islam Ainun Fitri Mughiroh Akbar, Muhammad Sonhaji Alafadunya, Helmi Jauhari Alifah, Maulida Amalia, Ikhlasul Amini, Erika Nur Anggara, Albertus Dwi Anggraeni, Yulianti Anistyasari, Yeni Anita Andriani ANITA ANDRIANI, ANITA Antow, Aldio Kevin Anwari APGANENDARIA O, HELDA Arbiati Faizah Ardiansyah, Gilang Nova Asid, Nurul Jannah Astuti, Trisna Windi Kusuma BAGUS ARDI PRATAMA, FAJAR BAGUS YANUARIZKI, ADE Baharudin, Ilham Bariroh, Mar’atul Bayu Tri Laksana Bergsma, Lindsay N. Bilqis Ismail Putri, Tiara Boedi Wibowo Dayat Indri Yuliastuti Dina Amilia DWI NUGROHO, IRAWAN Dwikoranto Elfaiz, Ersha Aisyah Faisal Santiago, Faisal Farid, Ibnu Farizi, Ahmad Rafly Irham Febrianita, Maya Firdaus, Valiant Shan Ginanjar Setyo Permadi Hadi Sucipto Hanafi, Muhlis Hanafi, Muhlis Haq, Febriansyah Haq, Mellanie Nadya Azmi Harun Al Rosyid Hastono, Budi Hastono, K.Budi Hendatama, Dhevin Baswara HERMAWAN ADI PRATAMA, BAYU Herry Widhiarto, Herry Hidayat, Rizal HIDAYATI, MIFTAKHUL HUSNUL HAFIZH ALFIAN, MUHAMMAD I Gusti Lanang Putra Eka Prismana Iftitaahul Mufarrihah Ilham Zulhardani, Muhammad Imron Rosadi Juwita, Mega Maduratna khoymah, Umi Nafisatul Krisna, Fajar Aditya Laksono Putro, Aji Laksono, Tyas Adi Lathifaturrohmah Lestari, Hefty Magda Lintangesukmanjaya, Rahmatta Thoriq Lutrianto A., Indra M. Awang Putratama Mahawati, Hemi Mahendra, Raka Mahrus Ali Mairina, Catur Liliek Martini Dwi Endah Susanti Mashuri, Chamdan Mazaya, Nando Winnet Moh. Slamet Mohammad Wildan Habibi, Mohammad Wildan Muchammad Rizal Bahrevi Muhidin Muhidin Muhsin, Muhammad Ihsan Murdiyanto Putri, Elsa Meilinda Nafilah, Havina Azka Nisa Dwi Septiyanti Octaviani, Maulidya PERDANA IRAWAN, RENDRA Prahastuti, Ruri Artanti Prasetio, Cahyo Eko Prasetiyo, Rinto Pratama, Dava Pratama, Sandy Putra Prayitno, Dwi Imam Pringgar, Rizaldy Fatha Purba, Madelin Christina Purnomo, Mochamad Dimas Lutifi Purwito, Eko Putra, Bima Aditya Anugrah Putra, Cendra Devayana Putra, Dedy Putra, Zona Wijaya Rachman, Alief Fathur Ramadhan Cakra Wibawa RAMADHANA, ILMI Rangga Prasetya, Rangga Prasetya Reza Augusta Jannatul Firdaus Rindu Puspita Wibawa Rista, Mita Anda Riza Akhsani Setyo Prayoga RIZAL NADIF FIKRI, NUR Rizky Basatha Robi’ah Machtumah Malayati Romadhona, Maya Rosa Rusydan, Faishal Sabila K.S., Nella Saifuddin . SALEH AFIF, TAUFIQURRAHMAN Santosa, Rudy Saputra, Dava Daviar SETYO ARIFVITANTO, EKO Soesatyo, Bambang Stevania, Egha TALITA FADILIA, DIANA Tanhella Zein Vitadiar Titah Pertiwi, Widya Trianto, Indiastanti Nurfadhilah Trihastuti S., Tuti Ulumudin, Febri Nur Unitomo, Sipil Wahidin, Fihud Amien Wahyuadi, Muhammad As’adul Azis Walangare, Ranny Angella Christina Wardah, Elvira Warsidah, Warsidah Wibawa, Ramadhan Cakra Wibowo, Boedi Widianto, Ari Winarto, Teddy Firman Wiyono wiyono Wulansari, Anindita Deasy Yani, Agnesia Putri Yassin, Yudistira Baiquni YULIANTO, ROSDAMA Zahrati , Zubdatu Zainal Arifin Hoesein Zubdatu Zahrati Zuchrotunisa Zulatifa, Nelani Shafatia Zuraidah, Safrin ‘Adhima, Ni’matul