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All Journal Jurnal Teknik ITS Proceedings of KNASTIK Semantik JUTI: Jurnal Ilmiah Teknologi Informasi Briliant: Jurnal Riset dan Konseptual Sewagati
Wahyu Suadi
Departemen Informatika, Institut Teknologi Sepuluh Nopember
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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CLUSTERING TOPIK PENELITIAN BERBASIS UNSUPERVISED LEARNING UNTUK REKOMENDASI KOLEKSI PUSTAKA DI PERPUSTAKAAN ITS Navastara, Dini Adni; Mursidah, Eva; Gonti, Yeni Anita; Wahyuni, Davi; Wiyadi, Petrus Damianus Sammy; Suadi, Wahyu
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 17, No. 2, Juli 2019
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v17i2.a788

Abstract

Perpustakaan ITS adalah salah satu penyedia jasa informasi di ITS.  Berbagai koleksi fisik yang dikelola meliputi buku teks, buku tugas akhir, buku tesis, jurnal, majalah, serta prosiding seminar nasional. Setiap tahunnya, perpustakaan ITS memperoleh alokasi dana untuk  pengadaan buku cetak sebesar 1 M, e-journal sebesar 6 M, dan 300 juta untuk pengadaan e-book. Akan tetapi, dana tidak terserap dengan baik dan feedback untuk pengadaan bahan pustaka ke ULP tidak berjalan maksimal dikarenakan pustakawan mengalami kesulitan ketika melakukan proses seleksi judul-judul bahan pustaka yang akan diajukan ke ULP untuk dibeli. Hal ini menyebabkan bahan pustaka, khususnya buku, yang dibeli kebanyakan tidak sesuai dengan kebutuhan pengguna. Untuk itu diperlukan upaya mencari informasi buku baru sebagai bahan pustaka yang sesuai dengan kebutuhan pengguna berbasis teknologi informasi. Berdasarkan data pengadaan buku di perpustakaan ITS lebih didominasi oleh buku pengembangan yang mendukung referensi publikasi ilmiah. Publikasi ilmiah yang dilakukan oleh para dosen mayoritas merupakan luaran dari penelitian dosen. Oleh karena itu, pada penelitian ini diusulkan klasterisasi tren topik penelitian sebagai rekomendasi pengadaan bahan pustaka di Perpustakaan ITS. Penelitian ini menerapkan konsep text mining yang terdiri dari beberapa tahapan proses yaitu: text preprocessing, proses ekstraksi fitur, proses clustering, dan post-processing. Text preprocessing dilakukan untuk memperbaiki kualitas data teks, sehingga dapat menghasilkan klaster yang relevan dan akurat. Langkah-langkah pada tahap text preprocessing adalah case folding, tokenizing, filtering, dan stemming. Kemudian, dilakukan proses ekstraksi fitur yaitu dengan teknik pembobotan menggunakan Term Frequency dan Inverse Document Frequency (TF-IDF). Fitur-fitur yang dihasilkan pada tahap ekstraksi fitur dilakukan proses clustering menggunakan metode unsupervised learning untuk menghasilkan klaster topik penelitian. Tahap post-processing dilakukan untuk mengevaluasi dan menganalisa hasil klasterisasi tersebut yang selanjutnya digunakan sebagai rekomendasi pengadaan bahan pustaka, khususnya buku.
GCRFP - PAGE REPLACEMENT FOR SOLID STATE DRIVE USING GHOST-CACHE Suadi, Wahyu; Djanali, Supeno; Wibisono, Waskitho; Anggoro, Radityo; Shiddiqi, Ary Mazharuddin
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 2, July 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v18i2.a986

Abstract

State Drive (SSD) is an alternative to data storage that is popular today, widely used as a media cache to speed up data access to the hard disk (HDD). This paper proposes page replacement technique on SSD cache that used frequency and recency parameter, alternately. The algorithm is selected adaptively based on trace input. This method helps to overcome changes in access patterns while minimizing the number of write processes to SSD. The proposed algorithm can choose a replacement technique that suits the user access pattern so that it can bring a better hit rate. The proposed algorithm is also integrated with the ghost-cache mechanism so that the reduction in the number of writing processes to SSD is significant. The experiment runs using a real dataset, describing trace of data read, and data write taken from real usage. The trial shows that the proposed algorithm can give good results compared to other similar algorithms.
AN IOT-BASED AUTOMATED WATERING SYSTEM FOR PLANTS USING INTEGRATED FUZZY LOGIC AND TELEGRAM BOT Shiddiqi, Ary; Anindita, Muhammad Raihan; Suadi, Wahyu; Soelaiman, Rully; Lili, Suhadi; Adillion, Ilham Gurat
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 22, No. 2, July 2024
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v22i2.a1191

Abstract

The development of automatic plant watering systems has recently gained popularity due to the need to conserve water and ensure healthy plant growth. This study focuses on integrating fuzzy logic, sensors, and algorithms to provide an automatic watering system. Fuzzy logic is a powerful tool that allows the system to interpret sensor data and make informed decisions. The sensors measure soil moisture, humidity, temperature, and light intensity. The data collected from these sensors is analyzed using algorithms to determine the appropriate watering schedule. The system’s ability to analyze and interpret data ensures that the plants receive the necessary moisture without over-watering or under-watering. Integrating the Telegram Bot is a significant feature of the system, enabling users to monitor and control the system remotely. The Telegram Bot sends users notifications when the system is activated, or the plants require attention. The system can also be controlled remotely through the Bot, enabling users to adjust the watering schedule or turn the system on or off. This research shows that the designed features of the system function effectively and can be used on a daily household scale. The system’s automated features reduce the need for constant monitoring and manual watering, making it ideal for those who engage in gardening at home. This innovation is particularly relevant in increasing the productivity of plants. In addition, the system’s ability to be controlled remotely through the Telegram Bot is a significant advantage, making it accessible and convenient for users.
Co-Authors Adillion, Ilham Gurat Al Kanza, Kalyana Putri Alfan Nur Ihsan Alzamzami, Moch. Nafkhan Anindita, Muhammad Raihan Arsyad, Hammuda Ary Mazharuddin Shiddiqi Baskoro Adi Pratomo Deden Ade Nurdeni Diani, Nabila A'idah Dini Adni Navastara, Dini Adni Dwi Sunaryono Fadhila, Farah Dhia Fikriansyah, Irsyad Gonti, Yeni Anita Henning Titi Ciptaningtyas Hudan Studiawan I Made Krisna Widhiastra I Wayan Widi Pradnyana Ivanda Zevi Amalia Ivanda Zevi Amalia Kharisma Muchammad Mursidah, Eva Pramudya, Rafli Raihan Prinandika, Arya Gading Radityo Anggoro, Radityo Royyana Muslim Ijtihadie Rully Soelaiman Santoso, Bagus Jati Sarwosri Sarwosri Shiddiqi, Ary Suhadi Lili Supeno Djanali Teja, Andika Rahman Tohari Ahmad Victor Hariadi Vinorian, Muhammad Ersya Wahyuni, Davi Waskitho Wibisono Wiyadi, Petrus Damianus Sammy Yazid Herdianto Yulia Eka Christia Sari Zaini, Alfa Fakhrur Rizal