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Scientific Journal of Informatics
Published by Universitas Negeri Semarang
ISSN : 24077658     EISSN : 24600040     DOI : -
Core Subject : Science,
Computer Science & IT
Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : -
Articles 564 Documents
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Goal Directed Design Method Application on UI/UX of Dua Mata Mobile Apps Sukarsa, I Made; Piarsa, I Nyoman; Linggar Sukarta, Erlangga Bayu; Wisswani, Ni Wayan
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.30216

Abstract

Purpose: Dua Mata is a mobile and website-based community service application intended for residents of South Kuta. Evaluation of existing designs is needed to assess whether the user interface design can provide user satisfaction. The aim this paper to evaluate the UI/UX of Dua Mata using QUIM method. Methods: Research, Modeling, requirement definition, Framework Definition, and Refinements are the step of the GDD method. The QUIM method aims to prioritize indicators that need to be fixed in the old design: Resource Utilization, Minimal Memory Load, and Security. Modeling determined respondents who will do the second test and in requirement definition stage scenarios are chosen. The selected scenario is registering, forgetting passwords, searching directories, ordering, and adding services. The framework definition and refinement is the stage of making a wireframe then prototype and tested. Result: The test results showed a big decrease in the scenario completion time by 39.41 seconds in the register scenario. The score on the Resource Utilization indicator has increased by 8 points, the Minimum Memory Load indicator is 9 points and the Security indicator is 6 points. Novelty: The novelty is that the increasing of the Resource Utilization indicator indicates the new design has a higher level of user satisfaction than the old design
Comparative Analysis of Dempster-Shafer Method and Certainty Factor Method On Personality Disorders Expert Systems Yuwono, Doddy Teguh; Fadlil, Abdul; Sunardi, Sunardi
Scientific Journal of Informatics Vol 6, No 1 (2019): May 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i1.17216

Abstract

Kepribadian adalah sifat dan kebiasaan seseorang yang membedakannya dari orang lain. Identifikasi gangguan kepribadian penting untuk semua orang. Kondisi kepribadian yang mencerminkan kondisi mental yang sehat. Namun, tidak bagi manusia untuk tidak bisa menerima tekanan pada diri sendiri. Dalam beberapa kasus, banyak orang ingin melakukan pengujian dengan sumber daya yang cukup dan verifikasi yang sesuai. Untuk mengatasinya, diperlukan tes validasi untuk metode deteksi cacat. Metode yang mendukung validasi adalah Metode Dempster-Shafer dengan Metode Faktor Kepastian.Analisis validasi dilakukan pada metode Dempster-Shafer dengan metode Certainty Factor karena menimbang nilai kerusakan kedua metode ini diperlukan dari data hipotesis atau perubahan dalam bentuk data simptom. Analisis validasi dilakukan pada nilai bobot yang dihasilkan untuk setiap metode yang diterapkan. Dari hasil analisis validasi, nilai bobot yang diperoleh dengan metode Demp-ster-Shafer dapat menghasilkan nilai bobot yang lebih akurat.
Model Evaluasi Kesuksesan dan Penerimaan Sistem Informasi E-Learning pada Lembaga Diklat Pemerintah Pamugar, Haris; Winarno, Wing Wahyu; Najib, Warsun
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3638

Abstract

Sistem pembelajaran secara elektronik (e-learning) pada lembaga pendidikan dan pelatihan (diklat) pemerintah dibangun untuk memudahkan pegawainya dalam belajar secara on line melalui komputer di unit kerja masing- masing. Melalui sistem informasi e-learning pengguna dapat mengunduh materi diklat, mengambil dan mengumpulkan tugas-tugas, mengerjakan soal-soal ujian, melihat nilai tugas dan ujian, melihat peringkat diklat berdasarkan nilai yang diperoleh saat pelaksanaan diklat dan ikut serta dalam komunitas diskusi. Penggunaan sistem informasi e-learning di lingkup pemerintah memiliki karakteristik yang berbeda dengan lingkup perguruan tinggi. Hal ini berkaitan dengan karakteristik organisasi, proses bisnis organisasi, budaya organisasi dan karakteristik pelaku organisasi yang berbeda antara lingkup pemerintah dan lingkup perguruan tinggi. Perbedaan tersebut membutuhkan model evaluasi yang disesuaikan dengan karakteristik lembaga diklat pemerintah, sehingga dapat menggambarkan kesuksesan dan penerimaan pengguna terhadap sistem informasi e-learning. Untuk menentukan model evaluasi yang tepat dan sesuai dengan karakteristik lembaga diklat pemerintah, maka perlu dilakukan penelitian terkait model evaluasi sistem informasi. Penelitian ini mengusulkan model evaluasi integrasi dari model penerimaan UTAUT, model kesuksesan sistem informasi DeLone dan McLean dan model kesesuaian manusia-organisasi-teknologi HOT Fit dengan modifikasi yang disesuaikan dengan karakteristik lembaga diklat pemerintah dan dapat menggambarkan kesuksesan dan penerimaan sistem informasi e-learning-nya. 
RETRACTED: The Evaluation of Final Assignment System Using the USE Questionnaire Approach Purwinarko, Aji; Subagja, Mona; Yanuarto, Alfath
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i2.26033

Abstract

This paper is retracted by editor due to publication ethics missconducted by author (simultaneously publication in other issue).Similar article has appeared in https://journal.unnes.ac.id/nju/index.php/sji/article/view/26053
Decision Support System to Choose Digital Single Lens Camera with Simple Additive Weighting Method Putri, Tri Pina; Rosa, Paulina H. Prima
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7913

Abstract

One of the technologies that evolve today is Digital Single Lens Reflex (DSLR) camera. The number of products makes users have difficulties to choose the appropriate camera based on their criteria. Users may utilize several ways to help them choosing the intended camera such as using magazine, internet, and other media. This paper discusses about a web based decision support system to choose cameras by using SAW (Simple Additive Weighting) method in order to make the decision process more effective and efficient. This system is expected to give recommendations about the camera which is appropriate with the user’s need and criteria based on the cost, the resolution, the feature, the ISO, and the censor. The system was implemented by using PHP and MySQL. Based on the result of questionnaire distributed to 20 respondents, 60% respondents agree that this decision support system can help users to choose the appropriate camera DSLR in accordance with the user’s need, 60% of respondents agree that this decision support system is more effective to choose DSLR camera and 75% of respondents agree that this system is more efficient. In addition, 60.55% of respondents agree that this system has met 5 Es Usability Framework.
E-Upakara, Bebantenan Learning Information System with Tree Diagram Model Sudana, Anak Agung Kompiang Oka; Putra, I Dewa Nyoman Nurweda; Wirdiani, Ni Kadek Ayu; Taradhita, Dewa Ayu Nadia
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.21620

Abstract

Researches on the implementation of information technology in Balinese culture and Hindu religion are still relatively rare, because Balinese culture is often perceived as “old fashioned” compared to information technology as something modern. In Hinduism, Yadnya ceremony is a religious ceremony when Hindus expressed gratitude to God, to fellow humans, to the resi, (priest/teacher), to the ancestors, and to Bhuta Kala. The implementation of Yadnya is usually accompanied with bebantenan (offerings) or upakara. Nowadays there are many Hindus, especially the younger generation who do not understand about bebantenan and Yadnya ceremony themselves. This is because information about bebantenan and Yadnya ceremony is relatively difficult to obtain. This paper proposes a multimedia based E-Upakara system or Bebantenan Information System that is a part of E-UpacaraYadnya System. Tree data structure is used to model the informations about data contained in bebantenan, and to illustrare the relations between bebantenan and Yadnya. The system can provide information related to the Yadnya ceremony such as the time the ceremony is held, the ceremony procedures, the bebantenan used during the ceremony, procedures of making bebantenan, videos, and pictures of banten.
Peningkatan Akurasi Estimasi Ukuran Perangkat Lunak dengan Menerapkan Logika Samar Metode Mamdani Saptono, Ristu; Hutama, Galih Dian
Scientific Journal of Informatics Vol 2, No 1 (2015): May 2015
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v2i1.4527

Abstract

Salah satu kunci sukses dari pengembangan perangkat lunak adalah perencanaan. Untuk membuat perencanaan yang baik diperlukan estimasi ukuran perangkat lunak yang akan dibangun. Ukuran perangkat lunak biasanya disajikan dalam bentuk Lines of Code (LOC). Metode Function Point Analysis (FPA) merupakan metode yang paling sering digunakan untuk memperkirakan ukuran perangkat lunak dalam satuan LOC. Akurasi dari FPA bisa ditingkatkan dengan cara penyesuaian nilai bobot pada tabel Function Point Complexity. Metode yang digunakan untuk penyesuaian nilai bobot adalah metode logika samar Mamdani. Evaluasi dilakukan dengan cara membandingkan galat relatif antara hasil pengukuran FPA murni, FPA modifikasi Mamdani model 1, FPA modifikasi Mamdani model 2 serta nilai tengah antara model 1 dan model 2, dengan nilai LOC sebenarnya dari perangkat lunak. Model 1 dan model 2 dibedakan oleh nilai himpunan fuzzy pada proses fuzzifikasi. Sebanyak 13 perangkat lunak digunakan untuk pengujian. Hasilnya estimasi menggunakan FPA nilai tengah memberikan hasil terbaik dengan galat terkecil yaitu 1,6% dibandingkan FPA modifikasi Mamdani model 1 (2%), FPA model 2 (3,2%) dan FPA Murni (3,4%). Perbedaan galat relatif tersebut mempunyai tingkat kepercayaan secara statistika sebesar 76%.
Utilizing Reverse Engineering Technique for A Malware Analysis Model Amiruddin, Amiruddin; Suryani, Putri Nur Halimah; Santoso, Shandika Dianaji; Setiadji, Muhammad Yusuf Bambang
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.24755

Abstract

Purpose: Malicious software or malware is a real threat to the security of computer systems or networks. Researchers made various attempts to find information and knowledge about malware, including preventing or even eliminating it. One effort to detect it is using a malware dynamic analysis model based on reverse engineering techniques. However, there are many reverse engineering techniques proposed with various stages and requirements in the literature. Methods: This research uses an experimental method. The object of research is a malware analysis model using reverse engineering techniques. The experimental method used is qualitative, collecting data related to the advantages and disadvantages of the reverse engineering-based malware analysis models used as a reference in this study. The data is used as consideration to propose a new model of malware analysis utilizing reverse engineering techniques. Result: In this study an analysis model of malware was proposed by synthesizing several reverse engineering-based malware analysis models. Novelty: The proposed model was then tested in a virtual environment where it is proven to be more effective than previous models for analyzing malware.
Comparative Analysis of Certainty Factor Method and Bayes Probability Method on ENT Disease Expert System Setyaputri, Khairina Eka; Fadlil, Abdul; Sunardi, Sunardi
Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i2.16151

Abstract

Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This research analyzes the comparison of Certainty Factor method and Bayes Probability method in the expert system of Ear, Nose, and Throat (ENT) diseases. Both methods have the same basic theory of overcoming uncertainties with existing variables. The Certainty Factor method has many variables that are used as systematic knowledge, namely the weight value of the expert which is the basis of knowledge of the system and the user input weight value, while the Bayes Probability method uses only expert knowledge in the calculation. Based on a comparative analysis of the methods obtained with 10 patients data on the ENT disease expert system, the Certainty Factor method has accuracy in diagnosing the disease by 100%, while the Probability Bayes method of system accuracy is 80%. So it can be concluded that the Certainty Factor method is more accurate in diagnosing ENT than the Bayes Probability method.
Pencarian File Teks Berbasis Content dengan Pencocokan String Menggunakan Algoritma Brute force Danuri, Danuri
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6515

Abstract

Keberadaan file menjadi penting saat dibutuhkan dan menjadi permasalahan apabila tidak ditemukan. Nama dari suatu file belum tentu memberikan gambaran isi yang terkandung pada file. Ini yang menjadi dasar dalam pencarian file berbasis konten. Terdapat beberapa algoritma untuk menyelesaikan permasalahan tersebut diantaranya algoritma brute force. Pengembangan algoritma pencarian dengan menciptakan pencarian lokal dan global memberikan kesempatan setiap kata pada file dan file pada lokasi yang dicari dapat diperiksa. Hasil pengujian menunjukkan rata-rata waktu proses 1 file sebesar 0.003847 detik dari 120 kali percobaan. Semakin banyak jumlah kata dalam suatu file dan jumlah file dalam satu tempat penyimpanan menyebabkan kebutuhan waktu semakin meningkat. 

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