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All Journal EMITTER International Journal of Engineering Technology Jurnal Ilmu Komputer dan Bisnis Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen
Susilo, Kunto Eko
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Metode Prototype Perancangan Smart Mountain Berbasis Web: Studi Kasus Gunung Di Mojokerto Setyawan, Kukuh Rachmad; Nugroho, Aryo; Susilo, Kunto Eko
Jurnal Ilmu Komputer dan Bisnis Vol. 12 No. 2a (2021): Vol. 12 No. 2a Special Issue (2021)
Publisher : STMIK Dharmapala Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47927/jikb.v12i2a.175

Abstract

Perkembangan teknologi memudahkan pekerjaan manusia. Selain itu teknologi informasi dapat membantu cara dan pola persaingan di dalam perusahaan atau perkembangan bisnis di seluruh dunia. Pentingnya menerapkan teknologi informasi untuk memudahkan dan meningkatkan investasi di perusahaan atau organisasi salah satunya di destinasi gunung di wilayah Mojokerto Jawa Timur. Dengan adanya kemajuan ilmu pengetahuan dan teknologi, sehingga informasi yang di berikan sangat efektif dan mudah untuk didapatkan. Beberapa destinasi gunung di kota Mojokerto dinaungi oleh PERHUTANI (Perusahaan Hutan Negara Indonesia). Perhutani masih menggunakan sistem booking di lokasi perijinan, yang menyebabkan tidak diketahuinya jumlah pendaki yang telah berada di pos perijinan. Berdasarkan uraian di atas, maka penulis membuat perancangan website dengan judul “PENERAPAN METODE PROTOTYPE DALAM PERANCANGAN SMART MOUNTAIN BERBASIS WEB PADA GUNUNG DI MOJOKERTO”.
SISTEM KONTROL KEMUDI KAPAL BERBASIS SCADA MENGGUNAKAN APLIKASIH CX PROGRAMMER DAN EASYBUILDER Aji, Bambang Laksono; Susilo, Kunto Eko
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 11 No 1 (2021): Maret 2021
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.272 KB) | DOI: 10.33020/saintekom.v11i1.176

Abstract

The development of information technology in the shipping industry has long been established. Scada-based ship rudder control system Using the cxprogrammer and easy builder applications, is a form of innovation in the shipping sector, by utilizing PLC devices. PLC will control the ship's steering gear and then connected using a network, thus forming a Scada system. The PLC will be programmed using the cxprogrammer to control the device as needed and use the easy builder as a Graphic User Interface so that the system can be used by the crew easily through graphics and animation. The purpose of this research is to make it easier for workers on the ship to monitor and control the ship's rudder drive system and operate the Steering Gear by monitoring from the platform and engine room of the ship so that their work becomes more efficient.
Unsupervised Twitter Sentiment Analysis on The Revision of Indonesian Code Law and the Anti-Corruption Law using Combination Method of Lexicon Based and Agglomerative Hierarchical Clustering Prayoga, Nur Restu; Tresna Maulana Fahrudin; Made Kamisutara; Rahagiyanto, Angga; Primananda Alfath, Tahegga; Latipah; Winardi, Slamet; Susilo, Kunto Eko
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.477

Abstract

The rejection on ratification of the revision of Indonesian Code Law or known as RKUHP and Corruption Law raises several opinions from various perspectives in social media. Twitter as one of many platforms affected, has more than 19.5 million users in Indonesia. Twitter is one of many social media in Indonesia where people can share their views, arguments, information, and opinions from all points of view. Since Twitter has a great diversity of users, it needs a system which is designed to determine the opinion tendency towards the problems or objects. The purpose of this study is to analyze the sentiment of Twitter users' tweets to reject the revision of the Law whether they have positive or negative sentiments using the Agglomerative Hierarchical Clustering method. The data that being used in this study were obtained from the results of crawling tweets based on hashtag (#) (#ReformasiDikorupsi). The next stage is pre-processing which consists of case folding, tokenizing, cleansing, sanitizing, and stemming. The extraction features Lexicon Based and Term Frequency (TF) which performs the process automatically. In the clustering stage, two clusters use three approaches; single linkage, complete linkage and average linkage. In the accuracy calculation phase, the writer uses the error ratio, confusion matrix, and silhouette coefficient. Therefore, the results are quite good. From 2408 tweets, the highest accuracy results are 61.6%.
Co-Authors Aji, Bambang Laksono Aryo Nugroho Hermawan, Ardi Setyo Kamisutara, Made Latipah Prayoga, Nur Restu Rahagiyanto, Angga Setyawan, Kukuh Rachmad Slamet Winardi Tahegga Primananda Alfath Tresna Maulana Fahrudin