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All Journal JIKO (Jurnal Informatika dan Komputer) Journal of Intelligent Software Systems
Robertus Saptoto
Sekolah Tinggi Pariwisata AMPTA Yogyakarta
Computer Science & IT

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Analysis of Determining the Types of Wireless BTS Devices Using the Dude Implementation and Telegram Notifications on Internet Services Provider XYZ Robertus Saptoto; Bambang Purnomosidi DP; Widyastuti Andriyani; Rikie Kartadie
Journal of Intelligent Software Systems Vol 1, No 1 (2022): July
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3149.373 KB) | DOI: 10.26798/jiss.v1i1.603

Abstract

ISP XYZ is a company engaged in the field of Internet Service Providers (ISP). Network monitoring is something that an ISP must have in monitoring network router traffic, wireless Base Transceiver Station (BTS) traffic and wireless client traffic. Connections between BTS backbone and BTS use wireless devices. Because currently the main network (backbone) inter BTS to BTS uses wireless devices, sometimes disturbances occur such as frequency interference and high data loads on BTS which lead data distribution to customers disrupted. The factors that affect this incident are the number of similar frequency number usage, the distance between BTS to BTS, the type of wireless device that can no longer carry large data loads as its main source. Telegram makes it possible to send and receive text messages over the internet. In addition, the function of telegram is usable. This research will be used to determine policies for updating wireless devices, especially on the BTS to BTS backbone. Chat, video calls, shared photos and files, telegram supports bots. This bot will later be used to mechanize notifications from the dude application to telegram messages, which of course are connected to the internet. You can provide reports on the use of data traffic, wireless device data resources that are currently implemented.
Prediksi Kunjungan Wisatawan Mancanegara Di Bandara Ngurah Rai Tahun 2025 Menggunakan Model ARIMA Musiman Robertus Saptoto; Saptin Dwi Setyo Hastuti; Na'umi Berliana; priasnita Siswani
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 2 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i2.1927

Abstract

Penelitian ini bertujuan untuk memprediksi kunjungan wisatawan mancanegara di Bandara Ngurah Rai, Bali, pada tahun 2025 menggunakan model ARIMA musiman (1,1,1)x(1,1,1,12). Data historis kunjungan bulanan dari tahun 2008 hingga 2024 (sekitar 61,17 juta kunjungan) yang bersumber dari Badan Pusat Statistik (BPS) diolahmenggunakan Python, dengan langkah interpolasi nilai hilang dan koreksi anomali pandemi sebesar 50% dari rata-rata kunjungan 2015–2019. Hasil prediksi menunjukkan sekitar 6,6 juta kunjungan pada 2025, denganpuncak pada Juli (sekitar 650 ribu, atau 21,7 ribu/hari) dan Desember (sekitar 630 ribu). Uji ADF (p-value < 0,05) dan Ljung-Box (p-value 0,12) memvalidasi model. Ngurah Rai diprediksi melampaui Soekarno-Hatta (sekitar 3,3 juta kunjungan), mencerminkan daya tarik Bali yang konsisten dengan tren global. Prediksi ini mendukung perencanaan kapasitas bandara dan strategi promosi musiman, khususnya pada Juli, melalui festival budaya dan diskon penerbangan. Analisis ini memperkuat peran informatika dalam pengambilan keputusan pariwisata berkelanjutan.
Co-Authors Andriyani, Widyastuti Bambang Purnomosidi Dwi Putranto Na&#039;umi Berliana priasnita Siswani Rikie Kartadie Saptin Dwi Setyo Hastuti