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INDONESIA
Systemic: Information System and Informatics Journal
ISSN : 24608092     EISSN : 25486551     DOI : -
Core Subject : Science,
SYSTEMIC (Information System and Informatic Journal) publishes articles on information technology from various perspectives, including literature studies, laboratory studies, and field studies. The journal prioritizes studies related to the theme: -Information System -IT Governance and Management -Information Security -Artificial Intelligent and Its Application -Internet of Things.
Arjuna Subject : -
Articles 8 Documents
Search results for , issue "Vol. 5 No. 2 (2019): Desember" : 8 Documents clear
Penggunaan Algoritma Jaringan Syaraf Tiruan Propagasi Balik Pada Klasifikasi Data Penggunaan Daya Listrik Zeni Permatasari; Agus Sifaunajah; Nur Khafidhoh
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (653.399 KB) | DOI: 10.29080/systemic.v5i2.679

Abstract

Electrical Energy has a large contribution to the operational costs that must be incurred. The selection of electrical equipment can be one alternative that might be implemented to reduce operational costs incurred. In its use sometimes users do not know any electrical equipment that uses high electrical power and low electrical power. Therefore a system was made to classify data on electric power usage. This data will be classified into four classes, such as: very efficient, efficient, quite efficient and wasteful. Data classification is done using a back propagation neural network algorithm. The training data set used is 190 data and the test data set is 30 data. Based on the training that has been done, the optimal parameters are learning rate 0.5, target error 0.001, max epoch 10000, and 25 hidden neurons. Tests show that the system is able to recognize data with an accuracy level of 96.67% and MSE of 0.03333. Of the 30 data that have been tested obtained 29 data in accordance with the target. Where the 29 data are classified into 4 classes, namely 9 data classes are very efficient, 6 data classes are efficient, 5 data classes are quite efficient and 9 data classes are wasteful. The results of this study can be concluded that the backpropagation neural network algorithm can be implemented to classify electrical power usage data.
Klasifikasi Kelancaran Kredit Dengan Metode Random Forest Muhammad Irhamna Putra; Ahmad Yusuf; Nita Yalina
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.914 KB) | DOI: 10.29080/systemic.v5i2.713

Abstract

This research contains the discussion the use of machine learning for doing prediction toward a good loan using random forest algorithm. This prediction will become basic reference for the bank to continue in evaluating credit risk. At this time, the absence of decision support system for doing prediction toward a good loan became a problem to the bank in attempt to reduce the credit risk. Therefore, a decision support system with machine learning modelling using random forest algorithm was built in predicting a good loan. Based on the result of this research, the prediction model being evaluated in several scenarios and having an average result 96,47%
Data Acquisition On Messenger Skype Using The National Institute Of Justice Method Muhammad Rizki Setyawan; Anton Yudhana; Abdul Fadlil
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.485 KB) | DOI: 10.29080/systemic.v5i2.724

Abstract

Perkembangan insant messenger khususnya aplikasi skype semakin pesat. Pengguna skype biasanya sebagai alat unuk berbagi informasi menggunakan smarphone android. Jumlah pengguna aplikasi skype yang banyak dapat disalah gunakan untuk melakukan kegiatan kejahatan seperti transaksi barang ilegal berupa vape narkoba sesama pengguna skype. Kasus ini bisa diselesaikan dengan mendapatkan bukti digital dari aplikasi skype yang tertinggal di smartphone android menggunakan metode digial forensik. Metode forensik yang digunakan dalam penelitian ini adalah National Institute of Justice (NIJ) dengan terdapat beberapa tahapan yaitu identification, collection, examination, analysis, dan reporting sedangkan software Oxygen Forensic Suite digunakan untuk akuisisi data. Hasil yang didapat berhasil mendapat semua barang bukti yang diinginkan dari kedua smartphone yang terisntall skype yaitu EVERCROSS dan SAMSUNG J2 berupa akun profil, kontak person, teks percakapan dan file gambar dengan presentase hasil akuisisi data Skype dari smartphone EVERCROSS B75 berhasil mendapat data 48% dan hasil akuisisi data Skype dari SAMSUNG J2 berhasil mendapat data 100%.
Menakar Penerapan Knowledge Management di Indonesia: Sebuah Studi Literatur Sutoto Sutoto
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.804 KB) | DOI: 10.29080/systemic.v5i2.736

Abstract

The purpose of this study is to determine the extent to which knowledge management has been adopted by organizations in Indonesia. For this purpose, a study was conducted through a systematic literature review to summarize the use of knowledge management in Indonesia in the last ten years. From the literature found that the level of implementation of knowledge management in Indonesia is still low, although it has experienced a significant increase since 2015. The author also found that attention on knowledge management are still dominated by academics and researchers from government body. Comparisons were made with documents index in Scopus published by authors from Indonesia and other ASEAN countries. The results show that the number of publications by Indonesian researchers is less than half of the publications made by Malaysian researchers. Of the five countries sampled, Indonesia ranks second in number of publications, but ranks 4th when measured by publication productivity per million population.
Application of Agile Unified Process in Fasting Application Development Ramadhan Based on Android Mobile Aditya Alfin Kurniawan; M. Andik Izzudin; Faris Amin
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.597 KB) | DOI: 10.29080/systemic.v5i2.740

Abstract

Bulan Ramadhan merupakan bulan yang istimewa dalam agama Islam, sehingga setiap orang berusaha melakukan ibadah di bulan Ramadhan sebanyak-banyaknya. Keterbatasan waktu dan tempat untuk mengetahui amalan yang ada pada bulan Ramadhan, membuat kurang maksimalnya ibadah yang dilakukan pada bulan Ramadhan. Pengembangan aplikasi Puasa Ramadhan bertujuan guna membantu umat Islam dalam menjalankan puasa Ramadhan. Aplikasi Puasa Ramadhan berbasis Android dikembangkan menggunakan bahasa pemrograman Java dengan metode pengembangan Agile Unified Process (AUP). Penelitian ini menghasilkan sebuah aplikasi Puasa Ramadhan berbasis Android yang dibangun menggunakan metode pengembangan AUP. Hasil pengujian standar ISO 25010 menunjukan apabila aplikasi telah memenuhi pada kriteria compatibility dengan nilai 96.5% atau sangat layak dan performance efficiency berjalan dengan baik tanpa terjadi memory leak atau force close.
Rancang Bangun Game Edukasi Media Pembelajaran Bahasa Inggris Menggunakan Pemodelan Finite State Machine dodik arwin dermawan; Agnesia Putri Yani; Mayloka Yona Charnelia; Satria Dear Rizaldy Abror Cahyono
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.18 KB) | DOI: 10.29080/systemic.v5i2.741

Abstract

English is an international language, and in Indonesia it can also be a daily language in society. This makes learning English very important to be introduced as a child. The focus of this research is to develop an English language learning media that can attract children's learning interests. The form of learning media based on educational English games, because a child will be more interested if the learning media is full of colors, shapes and characters. The design of this educational game utilizes the Finite State Machine which is a modeling to build the behavior of a non player character (NPC). In this English learning media, NPCs depict enemy characters so that educational games are more interesting to be played by children. The results of this study are a game that can be used as a medium for material enrichment, in the teaching and learning process that is based on the development of information technology. Learning English based on educational games can also attract children's interest, so as to increase the average value of 81.9, compared to conventional English learning when the average value of 67.1
Studi Dan Analisa Faktor-faktor Yang Mempengaruhi Kepuasan Pelanggan Pada Sistem Informasi Penjualan Online (e-Commerce) Pada CV Selaras Batik Himawan Wijaya; Omar Pahlevi; Harriansyah Harriansyah
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.519 KB) | DOI: 10.29080/systemic.v5i2.774

Abstract

Online or e-commerce businesses in Indonesia continue to seek ideas and innovations to increase the number of customers and also retain old customers, so that it is expected to increase the volume of sales transactions and ultimately provide benefits for e-commerce companies. Research conducted by researchers is a continuation of research from previous research conducted in 2014, where research conducted on this occasion is one form of evaluation of services that have been carried out by CV. Selaras Batik to its customers, so as to provide data and information on satisfaction customers who have made a purchase transaction. Where in this study customer satisfaction factors that will be the focus of the study will be divided into 4 categories which is product factors, price factors, delivery time speed factors and also after sales service factors. Where the four factors are considered factors that can affect customer satisfaction to continue to make transactions in CV. Selaras Batik. The research method that will be used in this research is a combination of sampling data and descriptive analysis, so that this research can produce feedback from customers of CV. Selaras Batik and also can be an optimal marketing strategy for CV. Selaras Batik management to continue to exist amid world competition ecommerce is increasingly stringent and competitive.
Image Segmentation Using Watershed Transform Method Based on Image Enhancement in Detection of Egg Embryos Shoffan Saifullah
Systemic: Information System and Informatics Journal Vol. 5 No. 2 (2019): Desember
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.322 KB) | DOI: 10.29080/systemic.v5i2.798

Abstract

Image processing dapat diterapkan dalam proses deteksi embrio telur. Proses deteksi embrio telur dilakukan dengan menggunakan proses segmentasi, yang membagi citra sesuai dengan daerah yang dibagi. Proses ini memerlukan perbaikan citra yang diproses untuk memperoleh hasil optimal. Penelitian ini akan menganalisis deteksi embrio telur berdasarkan image processing dengan image enhancement dan konsep segmentasi menggunakan metode watershed transform. Image enhacement pada preprocessing dalam perbaikan citra menggunakan kombinasi metode Contrast Limited Adaptive Histogram Equalization (CLAHE) dan Histogram Equalization (HE). Citra grayscale telur diperbaiki dengan menggunakan metode CLAHE, dan hasilnya diproses kembali dengan menggunakan HE. Hasil perbaikan citra menunjukkan bahwa metode kombinasi CLAHE-HE memberikan gambar secara jelas daerah objek citra telur yang memiliki embrio. Proses segmentasi dengan menggunakan konversi citra ke citra hitam putih dan segmentasi watershed mampu menunjukkan secara jelas objek telur ayam yang memiliki embrio. Hasil segmentasi mampu membagi daerah telur memiliki embrio secara nyata dan akurat dengan persentase sebesar ยป 98%.

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