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TANTANGAN DAN PELUANG E-COMMERCE SEBAGAI BASIS BISNIS GLOBAL DI INDONESIA Sumijan, Sumijan; Santony, Julius
Sainstek : Jurnal Sains dan Teknologi Vol 5, No 1 (2013)
Publisher : IAIN Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (990.437 KB) | DOI: 10.31958/js.v5i1.86

Abstract

Multimedia computers today have become a necessity, either by businesses or other community groups. Information is not enough just through text and graphics alone, but the information includes text, graphics, animated images, video and audio. Multimedia computer applications that are widely used today is e-commerce, e-commerce where the buying or selling activity conducted electronically on the Internet. E-commerce can also be more specific means of advertising, sales, delivery and service to take advantage of a web show 24 hours a day for all customers. E-commerce is a fraction of the facilities provided in the wilds Internet (cyber space). However, its existence is vital to boost the business of a company that wants to go-International. E-commerce is a combination of technology, apllications, proceses and strategic bussinees. Object of this study discusses the success factors (opportunities) and failures (challenges) in e-commerce menerepkan especially in Indonesia and this study also discusses the application of e-commerce as a bridge to cyber trade transactions between the consumer and the merchant bank, a payment server that will authorize a credit card or debit card online. Data taken from the successes and failures of previous studies beberpa survey were analyzed and presented in this study. Based on the results of this study found that the role of government to impose regulations to create a market trend and pioneering e-commerce, especially in the improvement of the trading system. To boost interest in e-commerce is not independent of consciousness, beliefs, customs and culture of a society of Indonesia. Cultures in Indonesia who still believe in the traditional trades of the e-commerce. However, e-commerce will still be needed in the face of the global market. To petrify the small and medium industries (SMEs) in creating a market trend of digital government intervention is needed in creating a framework in a comprehensive system such as applications, technical infrastructure and non-technical, regulatory management, monetary policy, including banking and other financial institutionsKey words: provider, cyber trade, e-mail, cyber space, framework, Comercenet
ANALISIS CITRA OTAK CT-SCAN/MRI UNTUK PREDIKSI JENIS CEDERA OTAK DENGAN METODE JST (JARINGAN SARAF TIRUAN) Sumijan, Sumijan; Santony, Julius
Prosiding KOMMIT 2014
Publisher : Prosiding KOMMIT

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Abstract

Telah dilakukan tahapan proses pengenalan pola untuk klasifikasi jenis cederaotak pada citra CT Scan (Computerized Tomografi) ataupun MRI (MagneticResonance Imaging) yang meliputi proses pengolahan citra CT Scan, analisiskomponen prinsipal serta identifikasi. Setiap kegiatan dari proses pengenalanpola tersebut di atas masing-masing dilakukan sesuai dengan sistem diagramalur terhadap proses pengenalan pola sehingga dapat diprediksi apakahcidera otak tersebut termasuk sedang atau berat, hasil penelitian inimemberikan informasi tentang identifikasi citra CT Scan tentang cidera otaksedang atau berat dengan bantuan metode JST sebagai klasifikasi.
EKSTRAKSI DATA PADA HALAMAN WEB DATABASE MINING AKADEMIK MENGGUNAKAN SIMPLE TREE MATCHING (STM) Sumijan, Sumijan
Prosiding KOMMIT 2012
Publisher : Prosiding KOMMIT

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Abstract

Web database mining akademik digunakan untuk menemukan informasi yang relevan yang di inginkan oleh pihak akademik mulai dari calon mahasiswa s.d alumni maupunstakeholder web database mining akademikjuga dapat menciptakan pengetahuan dari informasi akademik dan non-akademik yang ada, sehingga informasi dalam jumlah datayang banyak dan besar di situs Sisfokampus (Sistem Manajemen Akademik Kampus) tetapi mudah untuk mencarinya dan mengaksesnya. Informasitersebut berupa semi-structured dengankode HTML, yang berisi campuran informasi seperti main content (isi utama), profile kampus, navigation panel, Unstructured data (teks bebas), More structured data (database akademik). Dalam penelitian ini melakukan proses ekstraksidengan menggunakan metoda SimpleTree Matching (STM). Proses ekstraksi Webdatabase mining akademik dengan menggunakan teknik STM untuk menemukan danmengekstrak informasi dari database akademik dan seluruh layanan pada web tersebut. Dilakukan pengujian dengan parameter  precision, recall serta f-measure untukmengevaluasi kecocokan informasi yang dibutuhkan,Sehingga didapatkan performansi kinerja dari sisfokampus sesuai dengan  relevansi informasi yang  dibutuhkan.Penggunaan metoda tersebut mempercepat pencarian data dan layanan web terkait informasi akademik dan non akademik. Tantangandari web database akademik mining adalahjumlahdata atau volume data yang pertambahannya semakin lama semakinbanyak untuk mempermudah pengaksesan denganpengembalian data  baik online maupun offline dari source teks dari web data mining. Penelitian initelah memberikansolusi bahwa dengan ekstrasi web data miningterintegrasi dengan metoda STMmemperlancar proses pencarian dan pengaksesan informasi akademik baik yang tidak tersetruktur (informasi dari portal) bersifat portal, dan tersetruktur (Informasi dari aplikasi). 
Penentuan Mutu Kelapa Sawit Menggunakan Metode K-Means Clustering Am, Andri Nofiar; Defit, Sarjon; Sumijan, Sumijan
Jurnal KomtekInfo Vol 5 No 3 (2018): KOMTEKINFO
Publisher : Lembaga Penelitian Dan Pengabdian Masyarakat UPI-YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/komtekinfo.v5i3.159

Abstract

The classification of the quality of palm oil in PT Tasma Puja is still done by laboratory testing and then the data is saved manually in Excel. The method of grouping takes time and allows data to be lost. With the development of knowledge, it can be replaced by a data mining approach that can be used to classify the quality of palm oil based on its standards. The k-Means clustering method can be applied to classify the quality of palm oil based on water, dirt and free fatty acids. The data used is the quality data of palm oil in December 2017 as many as 31 data with criteria of good, very good and not good. The test results contained 3 clusters, namely cluster 0 for good categories amounted to 12 data, cluster 1 for very good category amounted to 13 data and cluster 2 for less good categories amounted to 6 data. The k-Means clustering method can be used for data processing using the concept of data mining in grouping data according to criteria.
PERANCANGAN SISTEM INFORMASI AKADEMIK MENGGUNAKAN BAHASA PEMOGRAMAN PHP DAN DATABASE MYSQL (STUDI KASUS PAUD TERPADU BISSMILLAH KOTA BUKITTINGGI) Putra, Yoga Ananda; Sumijan, Sumijan; Mardison, Mardison
Jurnal Teknologi Vol 9 No 1 (2019): Jurnal Teknologi
Publisher : LPPM UPI YPTK PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1379.034 KB)

Abstract

Tujuan dari skripsi ini adalah merancang suatu aplikasi yang menyajikan informasi yang dibutuhkan elemen sekolah agar dapat diperoleh secara lebih mudah dan efisien.Metode penelitian menggunakan analisis dan perancangan sistem informasi dimana pada tahap analisis akan dibahas analisa sistem yang sedang berjalan. Kemudian pada tahap perancangan akan dibahas dan dilihat aliran sistem informasi baru, UML, disain user interface dan disain file database.Hasil yang dicapai berupa pembuatan aplikasi yang mampu mempercepat proses pembuatan laporan atau informasi sesuai dengan apa yang diinginkan sekolah. Dan sebagai bentuk penerapan dari teknologi yang ada pada saat ini. Kesimpulan adalah dengan penggunaan teknologi komputer secara optimal dapat membantu kinerja dari pihak sekolah dalam memberikan informasi mengenai data siswa. Kata Kunci: Sistem Informasi Akademik,PHP dan Database MySQL
Diagnosa Penyakit Rubella Menggunakan Metode Fuzzy Tsukamoto Febriani, Widya; Nurcahyo, Gunadi Widi; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.723 KB) | DOI: 10.35134/jsisfotek.v1i3.4

Abstract

Rubella or better known as German measles is a viral infection characterized by a red rash on the skin. Lack of general public understanding of this disease makes the number of patients with Rubella increasing. So Fuzzy Tsukamoto's method is used to detect Rubella disease. The purpose of this study is to facilitate the public in understanding about Rubella disease so as to reduce the number of sufferers of this disease. The first step to detecting Rubella disease is to determine the fuzzy set and domain that includes 3 variables: red rash, swollen lymph nodes, and fever. The output of fuzzy calculations is someone experiencing Rubella or normal symptoms. The value obtained from the calculation process using the Tsukamoto method is 6.00. If the value is smaller than 6.00 then Rubella has no potential, if the value is greater than 6.00 then Rubella will be potential.
Penerapan Artificial Intelligent Rough Set dalam Pengawasan Kinerja Notaris Putri, Adek; Defit, Sarjon; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2019, Vol. 1, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1578.794 KB) | DOI: 10.35134/jsisfotek.v1i4.15

Abstract

The Regional Supervisory Council (MPD) has the authority to conduct periodic checks on notaries. In carrying out supervision there is no clear legal or regulatory basis on how the notary performance assessment is categorized as very good, good or bad so there is no common perception from MPD members. The purpose of this study is to help MPD find the assessment category in monitoring the performance of the notary public in West Sumatra. To get the assessment category, the Rough Set method can be used to analyze the performance of a notary public. The data used in this study is the data notary examination at the Regional Office of the Ministry of Law and Human Rights in West Sumatra. This study produced 18 rules to get a decision whether the results of the notary performance check are very good, good or not good. So this research is very appropriate to be applied to get the results of the examination of notary performance
Sistem Pakar dalam Mengidentifikasi Penyakit Kandungan Menggunakan Metode Forward Chaining Berbasis Android Gunawan, Adi; Defit, Sarjon; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i1.30

Abstract

Maternal Mortality Rate (MMR) in Indonesia is very high, so that maternal health problems are a national problem. This problem needs to get top priority. The health of pregnant women is crucial for the growth of the fetus they contain. Pregnancy can cause a decrease in maternal resistance. This decrease will trigger the arrival of various diseases. For that we need a system that can identify uterine diseases quickly and accurately. This study aims to identify uterine diseases in pregnant women based on symptoms experienced. This identification is the initial information that is useful to support the decision to take preventative action. Data processed in this study were 20 patients. This data is sourced from the Sungai Melati City Clinic which goes to an obstetrician, Dr. Yandi Zulkarnaen, SpOG. The method used in processing data is Android-based Forward Chaining. The results of this study include the name of the disease, description of the disease, and treatment solutions. After testing and calculating the level of system accuracy, a good degree of accuracy is obtained from the system calculation results with an expert decision of 90% of the 20 test data. Based on the level of accuracy, the expert system is very precise in identifying uterine diseases quickly.
Sistem Pakar Diagnosa Sikap dan Gaya Belajar untuk Menerapkan Akhlakul Karimah pada Siswa Kadrahman, Kadrahman; Sumijan, Sumijan; Yunus, Yuhandri
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.31

Abstract

Expert system is one of the use of technology in supporting every human activity. One of the uses of the expert system is for education. The expert system will help teachers to analyze the attitudes displayed by students. The purpose of this study is to analyze the attitudes and learning styles of students, apply good moral methods to students and determine the type of good approach to students using the Forward chaining method. The data needed for this research is student attitude data, data on learning style types, and moral data of morality and data on solutions to the application of morality and character. This research resulted in a solution in the form of the method of moral lighting according to the learning style with data accuracy of 86.2%. The conclusion of this study is that the design of an expert system for diagnosing student attitudes makes it easier for teachers to approach students.
Sistem Pendukung Keputusan Program Kerja Pengawasan Tahunan Menggunakan Metode Simple Additive Weighting (Studi Kasus di Inspektorat Kabupaten Rokan Hulu) Gunawan, Indra; Santony, Julius; Sumijan, Sumijan
Jurnal Sistim Informasi dan Teknologi 2020, Vol. 2, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v2i2.33

Abstract

The Annual Supervision Work Program (ASWP) is a measure of efficiency and effectiveness in implementing supervision in supporting Inspectorate performance. For the preparation of this ASWP using a Risk-Based Supervision Planning (RBSP) based on certain criteria. Decision Support System (DSS) is a system used to determine alternative ASWP to be implemented. The criteria are determined using the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find the total weighting of the performance rating for each alternative. Testing is done from ASWP alternative normalized according to the type of attribute criteria (benefit or cost). The final result is obtained from the calculation process, namely from the 10 test data there is 80% compatibility of the data from the system calculation. The sum of the normalized matrix with weights per criterion shows an alternative ranking of the regional apparatus organization that is closest to the criteria to the most distant from the criteria. In order to get an alternative ASWP to be implemented.