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Analisis Efisiensi Algoritma RSA pada Database Kependudukan (e-KTP) Jutono Gondohanindijo; Eko Sediyono
Semantik Vol 3, No 1 (2013): Semantik 2013
Publisher : Semantik

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.341 KB)

Abstract

Analisis  Algoritma membantu kita memahami skalabilitas  dan unjuk kerja sebuah  program  dengan melalui  uji  kompleksitasnya dengan mengukur atau menentukan problem size-nya, menentukan operasi yang dominan, menentukan fungsi  yang  digunakan. Algoritma  yang akan dibahas diambil dari program komputer Enkripsi RSA yang diimplementasikan dalam  Single Identification Number (SIN) e-KTP di Indonesia yang merupakan sebuah nomor identitas unik yang terintegrasi dengan gabungan data dari berbagai macam instansi pemerintahan dan swasta.Program Enkripsi RSA digunakan untuk menjaga keamanan dan kerahasiaan pesan, data, atau informasi dalam suatu jaringan komputer,  agar tidak dapat di baca atau di mengerti oleh sembarang orang.Dalam tulisan ini, penulis menganalisis  aplikasi sistem kriptografi yang layak diterapkan pada basis data terintegrasi di SIN  ( e-KTP).  Penilaian algoritma didasarkan pada  :  waktu eksekusi (dari fungsi yang paling  dominan), penggunaan memori/sumber daya, kesederhanaan dan kejelasan algoritma.Langkah-langkah analisis algoritma  dikembangkan dengan menentukan jenis/sifat data input,mengukur Waktu Eksekusi (Running Time ) dari setiap fungsi, menganalisis secara matematis  dengan uji data Big-Odengan Grafik dan Tabel Polynomial untuk menentukan average case_nya.
How to boost the flow shop manufacturing agility using hybrid Genetic Tabu Search in scheduling Moch Saiful Umam; Jutono Gondohanindijo
SINERGI Vol 26, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.2.002

Abstract

The hybridization between evolutionary genetic algorithm and tabu search has been proposed in this paper to address flow shop scheduling. It accommodates jobs that need to be rearranged and executed on identical machines serially. High agility is required in the manufacturing process, especially for the garment industry to be able to stand facing competitors. The manufacturing related to scheduling to deliver a product as early as possible, the tardiness, and waiting time are also concerned. A Genetic Algorithm was widely used to deal with this; which finds an optimal solution to the problems because it can obtain a more optimal solution. Unfortunately, it is easy to get stuck in optimum local (early convergence is faster). The tabu search algorithm works as a local explorer to better find and exploit the optimum local area, which can be combined with a Genetic Algorithm. This study aims to minimize the three objectives mentioned above to increase production agility. These strategies are evaluated on Taillard benchmark problems to show the significance of the proposed algorithm. The outcomes prove that the hybrid mechanism can boost the solution quality by 2.75% compared to our previous work and can resolve all of Taillard instances better. It has been proven by a 0.28% percentage relative deviation, which shows the error rate is lower and means better.
ANALISIS WACANA KRITIS BUDAYA LITERASI MELALUI APLIKASI WEBTOON BERBASIS MEDIA PEMBELAJARAN INTERAKTIF SEBAGAI UPAYA PENINGKATAN KARAKTER SISWA SEKOLAH MENENGAH Amin Khudlori; Jutono Gondohanindijo
Jurnal CULTURE (Culture, Language, and Literature Review) Vol. 7 No. 1 (2020): Jurnal CULTURE (Culture, Language, and Literature Review)
Publisher : Universitas Aki

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53873/culture.v7i1.209

Abstract

One of the successes in high school student learning lies in the use of learning method or model. The development of technology has given great influence on the world of today’s education. Learning media that are independent and technology-based become an attraction for students to improve learning motivation and to educate students to be able to learn independently. This study aims to develop the interactive learning media through webtoon applications as an effort to shape the character of high school students through literacy culture. This research also aims to foster high school students' interest in reading through smart phone technology. The subjects of this study were high school students. The research method used is the method of triangulation which includes data triangulation, triangulation between researchers and theory triangulation. Data collection techniques used in this studywere interviews, observation and documentation. The data obtained were then analyzed using descriptive qualitative analysis techniques. The results of this study are scientific publications and products in the form of interactive learning media in an effort to strengthen the character of high school students. Keywords: Webtoon, literacy culture, character education, interactive learning method
APLIKASI BERBASIS MEDIA PEMBELAJARAN INTERAKTIF SEBAGAI MODEL KOPING UNTUK MENGATASI STRES BELAJAR MATEMATIKA PADA SISWA SEKOLAH DASAR PADA MASA PANDEMI COVID-19 Lucy Hariadi; Jutono Gondohanindijo
Delta: Jurnal Ilmiah Pendidikan Matematika Vol 10, No 2 (2022): Delta : Jurnal Ilmiah Pendidikan Matematika
Publisher : Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/delta.v10i2.1640

Abstract

This study aims to develop a fun interactive learning method as an effort to reduce stress due to online learning, especially in Mathematics. The research was conducted on online fifth grade elementary school students. This Powtoon and Adobe Flash-based learning media application can be accessed from cellphones or laptops. The data collection method used in this research is the experimental method. Statistical calculations obtained the results: (1) there was a difference in the mathematical value between before and after being given treatment as indicated by the value of sig = 0.000 (p < 1%), where there was an increase in the mathematical value from an average of 78.53 to 89.41; (2) there is a difference in the level of stress in students between before and after being given treatment as indicated by the value of sig = 0.000 (p < 1%), with the mean value of 47.44 dropping to 39.85 after being given treatment; (3) there is a significant correlation between stress levels and students' Mathematics test scores before treatment, which is indicated by the value of sig = 0.011 (p < 5%). The direction of the correlation is negative with the value of rxy = -0.429; (4) there is a significant correlation between stress levels and students' test scores in post-treatment Mathematics, indicated by the value of sig = 0.038 (p < 5%). The direction of the correlation is negative with the value of rxy = -0.357. Negative correlation means that the higher the stress felt by students, the lower the learning achievement obtained, and vice versa. Evaluation of the learning application was carried out descriptively and satisfactory results were obtained.
Decision Tree Implementation in IT Job Recommendation System Widayati, Yohana Tri; Widjaja, Stephanus; Wicaksono, Adityo Putro; Gondohanindijo, Jutono; Putri, Christine Cecillia
Jurnal Transformatika Vol. 21 No. 2 (2024): Januari 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.8328

Abstract

Employment is the primary activity that humans engage in to generate income. With the advancement of technology and research, there are many new job opportunities leading to confusion in choosing a job path. This leads to individual confusion in making job choices. Ignorance of one's own talents and personality, as well as ignorance of the various options available, can be the source of this ignorance. This research aims to develop a Decision Tree model to assist users in determining the appropriate IT field. The system uses AI Project Cycle and data processing tools such as Google Collaboratory, which is based on Python programming language. The results show that the Decision Tree algorithm can be applied to recommend jobs in the IT field to help users find suitable fields in the IT field.
Implementasi Sistem Informasi Kepegawaian Non-ASN Berbasis Website Menggunakan Codeigniter 3 Pada Diskominfo Jawa Tengah Insiyyah, Insiyyah; Dharmawan, Alexander; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10677

Abstract

Dinas Komunikasi dan Informatika Provinsi Jawa Tengah merupakan badan pemerintah yang berperan penting dalam mengelola informasi dan komunikasi di wilayah Jawa Tengah, Selain Aparatur Sipil Negara (ASN), Diskominfo Jateng juga dibantu oleh banyak tenaga non-ASN yang berperan penting dalam menunjang kelancaran operasional dan pelayanan publik. Proses penginputan data pegawai non-ASN masih menggunakan cara manual dengan menggunakan microsoft excel, cara ini dinilai kurang optimal dan menghambat pengambilan keputusan terkait pelaporan karyawan. Oleh karena itu, dibutuhkan sistem pengelolaan SDM berbasis website yang lebih efektif dan efisien untuk mempermudah dalam pengambilan kepustusan.Perancangan website menggunakan diagram UML (Unified Modelling Language) pembuatan website menggunakan bahasa pemrograman PHP (Hypertext Prepocessor) dan framework CodeIgniter 3. menggnakan pengujian dengan black box diperoleh hasil sesuai dengan harapan. Dengan adanya sistem ini diharapkan dapat membantu pengelolaan sistem informasi kepegawaian non-ASN pada Diskominfo Jateng.
Perancangan Sistem Informasi Berita Otomotif Berbasis Website Dengan Php Dan Mysql Tiert, Baruch Daniel; Dharmawan, Alexander; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10955

Abstract

In today's digital era, information about the automotive world is in great demand by the public. To meet these needs, an information system is needed that is able to present automotive news quickly, accurately, and easily accessible. This research aims to design and develop a website-based automotive news information system using PHP and MySQL. This system is designed to facilitate users in getting the latest information about the automotive world, including news about new vehicles, product reviews, maintenance tips, and the latest technology. The methods used in developing this system include needs analysis, system design, implementation, and testing. The results show that the information system developed is able to provide automotive news services with a user-friendly interface and features that suit user needs. With this system, it is expected to increase the accessibility and dissemination of automotive information among the public.
Sentimen Analisis Aplikasi Digitalent Mobile Menggunakan Naïve Bayes Dan SVM Dengan Ekstraksi Fitur TT-IDF Putra, Jeremi Azero; Dharmawan, Alexander; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.11110

Abstract

Penelitian ini membahas penerapan analisis sentimen pada ulasan aplikasi mobile menggunakan algoritma Naïve Bayes dan Support Vector Machine (SVM) dengan ekstraksi fitur TF-IDF (Term Frequency-Inverse Document Frequency). Analisis sentimen adalah proses penggalian informasi dari teks untuk menentukan opini yang terkandung di dalamnya, yang berguna bagi pengembang aplikasi untuk memahami umpan balik pengguna. Dataset ulasan aplikasi mobile berjumlah 378 ulasan yang dikumpulkan dan dibersihkan sebelum diekstraksi fiturnya menggunakan metode TF-IDF, yang mengukur pentingnya sebuah kata dalam dokumen relatif terhadap kumpulan dokumen. Selanjutnya, dua algoritma pembelajaran mesin, Naïve Bayes dan SVM, diterapkan untuk membangun model klasifikasi sentimen. Kinerja model dievaluasi menggunakan metrik akurasi, presisi, recall, dan F1-score dari hasil pengujian confussion matrix. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes mencapai akurasi 85.71%, sedangkan SVM mencapai akurasi 82.14%. Tujuan dari penelitian ini adalah menekankan pentingnya pemilihan algoritma dan teknik ekstraksi fitur dalam analisis sentimen aplikasi mobile, serta memberikan informasibagi pengembang dalam meningkatkan kualitas aplikasi berdasarkan umpan balik pengguna.
Dashboard Pemantauan Inventori Pada Mixue Erlangga Simpang Lima Berbasis Web Jaya, Theofilus Palaun; Prihati, Yani; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.11407

Abstract

This research aims to develop a web-based inventory monitoring dashboard for Mixue Erlangga Simpang Lima. The dashboard is designed to provide ease in monitoring and managing stock in real-time, thereby enhancing operational efficiency and reducing the risk of stockouts or overstocking. The research methodology includes needs analysis, system design, development, and application testing. The result of this research is a dashboard that can display inventory data visually and interactively, and provide notifications when stock levels approach predefined minimum or maximum limits. The implementation of this dashboard is expected to assist management in making quicker and more accurate decisions regarding inventory management. User evaluations indicate that this dashboard successfully improves efficiency and effectiveness in monitoring and managing stock at Mixue Erlangga Simpang Lima.
Implementasi Metode Waterfall Pada Sistem Informasi Inventaris Barang Berbasis Web Di Hotel Grand Edge Semarang Widodo, Tulus Suryo; Prihati, Yani; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.11842

Abstract

A company asset, inventory management must always be monitored for its existence and condition. Inventory management of a company is very important. The stages of the waterfall software development method are used as the basis for the structure of requirements analysis, design, implementation, and system testing. Employee input data, item input data, and purchase input data are some parts of the designed information system. By choosing an efficient Rapid Application Development (RAD) approach, a Web-based Goods Inventory Information System was developed to solve the problem of errors and data duplication. The research methodology consists of observation, interviews, literature research. The purpose of this research is to design a web-based inventory information system to help manage inventory data at Grand Edge Hotel Semarang.