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All Journal AGREGAT Jurnal Laut Khatulistiwa EXTRAPOLASI: Jurnal Teknik Sipil Jurnal Abadimas Adi Buana 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 Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Seminar Nasional Ilmu Terapan Jurnal Mediakita : Jurnal Komunikasi dan Penyiaran Islam 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) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
BAMBANG SUJATMIKO
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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

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PENERAPAN ANALYTICAL HIERARCHY PROCESS (AHP) UNTUK PENENTUAN DOSEN BERPRESTASI BERDASARKAN TRIDHARMA PERGURUAN TINGGI Zuchrotunisa; Sujatmiko, Bambang; Faizah, Arbiati
Inovate Vol 4 No 2 (2020): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i2.696

Abstract

The assesment of lecturers’ performance to determine the outstanding lecturer is needed to know theresult of lecturers’ performance in doing all the teaching and learning process in the institution wherethe lecturers work. To obtain the lecturers’ highest ranking, the lecturers’ performance is evaluated byusing AHP. The software of decision support system is used with Analytical Hierarchy Process (AHP)consisting of three criteria: research, community service and some assessment indicators. The lecturersof technology and information faculty become the sample. After knowing the parameter. For the nextsteps, system requirement are analyzed, manipulating the knowledge, applying the method AnalyticalHierarchy Process and last but not least testing the system. The result of this research is an applicationthat can make the university assess the lecturers’ performance in the form of ranking become easier. Thehighest lecturer score of this research is 0.9343 that obtained from the system.Keywords: Decision Support System, AHP, Lecturers’ Performance
APLIKASI PEMETAAN PONDOK PESANTREN BERBASIS WEB DI KABUPATEN JOMBANG Baharudin, Ilham; Sujatmiko, Bambang; Faizah, Arbiati
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.766

Abstract

Jombang Regency is known as city of “santri” because there are many “pondok pesantren” which arefamous in Indonesia domiciled in this city. At least there are seven large “pondok pesantren” located inthe Jombang area. Apart from the strategic geographical location in the city of “santri”, great figures wereborn, one of which was the forerunner of the resistance of the community and the “santri” towards theinvaders who were commanded by Hadratussyaikh KH.M Hasyim Asy'ari, the founder of Nahdlotul Ulamaand KH. A Wahid Hasyim, 4President is K.H Abdurrahman Wahid. Based on the description above, inorder to help parents who want to know the geographical location and the teaching system in “pondokpesantren” in Jombang, the application of mapping “pondok pesantren” is needed which can help parentsknow what kind of boarding school information is in Jombang Regency with 3 groups, namely there arePondok Pesantren Salaf, Pondok Pesantren Tahfidz, and Pondok Pesantren Modern and know thegeographical location of “pesantren” with website-based mapping visualization.Keywords: Jombang Regency, Pondok Pesantren, Mapping.th
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.
Implementasi Compiler Java Plugin Moodle untuk Melacak PjBL untuk Meningkatkan Kompetensi Pemrograman Berorientasi Obyek Ramdhan Bachtiar Ibrahim, Ramdhan Bachtiar Ibrahim; Sujatmiko, Bambang
IT-Edu : Jurnal Information Technology and Education Vol. 10 No. 3 (2025): Volume 10 No 03 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/it-edu.v10i3.70090

Abstract

Cepatnya inovasi di bidang teknologi informasi saat ini turut memengaruhi perubahan dalam sistem pembelajaran di Indonesia, dengan adanya perkembangan teknologi ini dapat memudahkan bagi tenaga pengajar untuk memberikan materi dengan cara yang lebih efektif, variatif dan efisien. Platform Moodle sangat sesuai digunakan sebagai alat bantu dalam meningkatkan pemahaman siswa terhadap pelajaran yang sulit dipahami secara langsung di kelas. Penelitian ini bertujuan untuk menghasilkan suatu plugin tambahan dan media pembelajaran berbasis moodle dengan adanya evaluasi dari validator, yang terdiri dari dosen dan guru, proses penilaian menjadi lebih objektif dan akurat untuk mengetahui pengaruh media pembelajaran berbasis moodle dalam meningkatkan kompetensi pemrograman berorientasi obyek siswa dinilai dari kemampuan siswa Kemampuan berpikir dan tindakan motorik dalam proses belajar Rekayasa Perangkat Lunak dengan memakaimoodle sebagai media dengan model pembelajaran Project based Learning. Metode Research & Development adalah yang digunakan dalam penelitian ini dengan prosedur ADDIE, tahapan ADDIE yang digunakan dalam penelitian ini meliputi, analysis, design, development, implementation, dan evaluation. Desain uji coba yang digunakan dengan model One Group Pretest-Posttest Design. Dalam penelitian ini observasi, wawancara, tes dan dokumentasi yang divalidasi oleh validator. Subjek dalam penelitian ini adalah 36 siswa kelas X RPL 1 SMK Negeri 2 Surabaya. Hasil penelitian yang diperoleh pada validasi media dengan nilai 93,93 % (sangat valid), validasi RPP sebesar 82,30 (sangat valid), validasi materi sebesar 95% (sangat valid), validasi soal 97,27 9 (sangat valid). Dari hasil validasi tersebut dikategorikan sangat valid dan dinyatakan sangat layak untuk digunakan dalam penelitian ini. Untuk hasil analisis uji hipotesis menunjukkan nilai sig (2-tailed) sebesar <0.001 dimana nilai sig. <0.05. dengan nilai ini maka diketahui jika nilai sig. <0.05 sehingga H0 ditolak dan H1. Dapat disimpulkan dari pengujian yang telah dilaksanakan penggunaan media pembelajaran berbasis model dengan metode pembelajaran berbasis proyek dapat meningkatkan nilai kognitif dan psikomotorik dalam kompetensi pemrograman berorientasi obyek.
Co-Authors -, Hasan Shadzily Adi Susanto, Adi Susanto Advan Navis Zubaidi Afrilia, Pramita Agus, An Ahmad Fakhruddin Fajrul Islam Ainun Fitri Mughiroh Alifah, Maulida Alvina Febrianti Amini, Erika Nur Anita Andriani ANITA ANDRIANI, ANITA Antow, Aldio Kevin Anwari Ardiansyah, Gilang Nova Asid, Nurul Jannah Astuti, Trisna Windi Kusuma Baharudin, Ilham Bergsma, Lindsay N. Bilqis Ismail Putri, Tiara Boedi Wibowo Dian Novitasari Dwikoranto Faizah, Arbiati Farid, Ibnu Fathan, Muhammad Iqbal Fatihur, Yazid Febrianita, Maya Ginanjar Setyo Permadi Hadi Sucipto Hanafi, Muhlis Hanafi, Muhlis Haq, Mellanie Nadya Azmi Harun Al Rosyid Hastono, Budi Hastono, K.Budi Hendatama, Dhevin Baswara Herry Widhiarto, Herry HIDAYATI, MIFTAKHUL I Gusti Lanang Putra Eka Prismana Iftitaahul Mufarrihah Ilham Zulhardani, Muhammad Imron Rosadi Jamaluddin Ghafiqi Juwita, Mega Maduratna Krisna, Fajar Aditya Lathifaturrohmah Lintangesukmanjaya, Rahmatta Thoriq M. Awang Putratama Mahawati, Hemi Mahendra, Raka Mahrus Ali Mairina, Catur Liliek Martini Dwi Endah Susanti Mashuri, Chamdan Mazaya, Nando Winnet Moh. Slamet Mohammad Yusril Luqman Hakim Muchammad Rizal Bahrevi Muryandari, Prambayu Rehyta Nafisah, Hasna Yuliadysti Nur Rahmawati Octaviani, Maulidya Prahastuti, Ruri Artanti Prasetiyo, Rinto Pratama, Sandy Putra Prayitno, Dwi Imam Purwito, Eko Putra, Dedy Ramadhan Cakra Wibawa Ramadhan, Achmad Syahrul Ramdhan Bachtiar Ibrahim, Ramdhan Bachtiar Ibrahim Rangga Prasetya, Rangga Prasetya Reza Augusta Jannatul Firdaus Rindu Puspita Wibawa Rista, Mita Anda Robi’ah Machtumah Malayati Romadhona, Maya Rosa Sabila K.S., Nella Saifuddin . Santosa, Rudy Soesatyo, Bambang Tanhella Zein Vitadiar Unitomo, Sipil Warsidah, Warsidah Wibowo, Boedi Winarto, Teddy Firman Wiyono wiyono Wulansari, Anindita Deasy Yuyun Bunga Gusrian Zahrati , Zubdatu Zuchrotunisa Zuraidah, Safrin ‘Adhima, Ni’matul