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All Journal Jurnal Simantec Jurnal Ilmiah Kursor TEKMAPRO Journal of Industrial Engineering and Management Scan : Jurnal Teknologi Informasi dan Komunikasi International Journal of Advances in Intelligent Informatics Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Register: Jurnal Ilmiah Teknologi Sistem Informasi International Journal of Artificial Intelligence Research Teknika: Engineering and Sains Journal JIEET (Journal of Information Engineering and Educational Technology) IJEBD (International Journal Of Entrepreneurship And Business Development) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Informatik : Jurnal Ilmu Komputer Jurnal Penelitian SEINASI-KESI bit-Tech Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) e-NARODROID Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Nusantara Science and Technology Proceedings Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences International Journal of Data Science, Engineering, and Analytics (IJDASEA) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Impresi Indonesia Journal of Vocational Education and Information Technology (JVEIT) Information Technology International Journal (ITIJ) Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal ilmiah teknologi informasi Asia Jurnal Pengabdian Masyarakat SENSASI Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
I Gede Susrama Mas Diyasa
Department Of Informatics, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation

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Bus Passenger Demand Forecasting Using A Hybrid ARIMA–MLP Model Naufal Baihaqi Moerrin; Aviolla Terza Damaliana; I Gede Susrama Mas Diyasa
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3549

Abstract

Accurate passenger demand forecasting is crucial for operational planning and service reliability in public transportation systems. Despite the effectiveness of traditional models, existing approaches often struggle with nonlinear fluctuations in demand, which limits their ability to adapt to real-world variability. This study proposes a hybrid forecasting framework that combines the Autoregressive Integrated Moving Average (ARIMA) model with a Multi-Layer Perceptron (MLP) neural network for short-term passenger demand prediction. By using ARIMA to capture linear components like trend, seasonality, and autocorrelation, and MLP to model the residuals that contain nonlinear patterns, the proposed approach integrates the strengths of both models. This hybrid method addresses gaps in current forecasting techniques by improving adaptability and precision. Empirical analysis was conducted using daily passenger count data from Bus Trans Jatim during 2023–2024. Data preprocessing included exploratory time series analysis, variance stabilization, and outlier assessment to ensure compatibility with the modeling assumptions. Forecast performance was evaluated using the Mean Absolute Percentage Error (MAPE). The results show that the hybrid ARIMA–MLP model achieved a MAPE of 4.95%, outperforming the standalone ARIMA model in providing more adaptive and accurate short-term forecasts. These findings have practical implications for public transportation planning, enabling more responsive and efficient operations, particularly for forecasting demand fluctuations.
Implementasi K-Means Clustering dengan Menggunakan Data Transaksi Penjualan untuk Penentuan Reward pada Agen Aqua dan Gas LPG FF Tirta Refika Ayuna Sari; Henki Bayu Seta; I Gede Susrama Mas Diyasa
Informatik : Jurnal Ilmu Komputer Vol 18 No 3 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v18i3.4673

Abstract

Target pelanggan bagi Agen Aqua dan Gas LPG sangatlah penting karena persaingan antar perusahaan sejenis mungkin terjadi dan mengakibatkan hilangnya kepuasan pelanggan. Penelitian ini memiliki tujuan yaitu membangun sistem yang dapat mengelompokkan dan mengetahui tingkat target pelanggan berdasarkan transaksi pembelian agar pihak agen dapat mempertahankan pelanggan yang potensial tersebut dengan cara memberikan memberikan hadiah berupa promo spesial (reward). Hasil penelitian ini ada pengelompokan pelanggan yang mendapatkan reward dan tidak dapat dilihat perbulannya, yaitu pada bulan Januari ada 75 pelanggan mendapatkan reward dan 100 tidak mendapatkan reward, Februari ada 70 pelanggan mendapatkan reward dan 106 tidak mendapatkan reward, Maret ada 80 pelanggan mendapatkan reward dan 96 tidak mendapatkan reward, April ada 35 pelanggan mendapatkan reward dan 141 tidak mendapatkan reward, Mei ada 65 pelanggan yang mendapatkan reward dan 111 tidak yang mendapatkan reward, Juni ada 43 pelanggan yang mendapatkan reward dan 133 tidak mendapatkan reward l, Juli ada 77 pelanggan yang mendapatkan reward dan 99 tidak mendapatkan reward, Agustus ada 48 pelanggan yang mendapatkan reward dan 128 tidak mendapatkan reward, September ada 94 pelanggan mendapatkan reward dan 82 tidak mendapatkan reward, dan Oktober ada 94 pelanggan mendapatkan reward dan 82 tidak mendapatkan reward.Kata Kunci: Clustering, K-Means Clustering, Reward, Davies-Bouldin Index
Analisis Sentimen Kendaraan Listrik Pada Twitter Menggunakan Metode Long Short Term Memory Dian Agus Prawinata; Ani Dijah Rahajoe; I Gede Susrama Mas Diyasa
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 1 (2024): Januari : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i1.857

Abstract

In facing the increasing awareness of environmental impact, electric vehicles have become a primary focus in the global automotive industry. With the advancement of technology and the growing need for eco-friendly solutions, the evaluation of public sentiment towards electric vehicles becomes highly relevant. This research aims to analyze opinions expressed on Twitter regarding the use of electric vehicles using the Long Short Term Memory (LSTM) classification method. Utilizing a dataset of 30,000 entries, this study applies the LSTM algorithm to classify sentiment in tweets. Four different scenarios are tested, involving combinations of Continuous Bag of Words (CBOW) and Skip-Gram feature extraction methods, as well as data split percentages of 80:20 and 70:30. The research results demonstrate high accuracy levels across all scenarios, ranging from 85.16% to 85.9%. These findings indicate the effectiveness of sentiment analysis in gauging public perspectives on the use of electric vehicles. This study makes a significant contribution to understanding public sentiment related to electric vehicles based on Twitter data while highlighting the application of sentiment analysis techniques in the context of electric vehicle usage.
Co-Authors Achmad Junaidi Achmad Junaidic Adiwidyatma, Afdhal Reshanda Ahmad Naufal Mumtaz Akmal, Mohammad Faizal Alfan Rizaldy Pratama Alfiatun Masrifah Alhamda, Denisa Septalian Amanullah , Nurkholis Anak Agung Diah Parami Dewi Ani Dijah Rahajoe Ardhon Rakhmadi Ardianto, Taruna Ariyono Setiawan Aryananda, Rangga Laksana Aurelia, Cenditya Ayu Aviolla Terza Damaliana Awaludin W., Moh. Haydir Awang, Mohd Khalid Bambang Trigunarsyah Bambang Trigunarsyah Budi Nugroho Cahyani Kuswardhani, Hajjar Ayu Daffa Ferdinan Denisa Septalian Alhamda Deshinta Arrova Dewi Dewi, Deshinta Arrova Dewi, Deshinta Arrowa Dian Agus Prawinata Dimas Saputra Dwi Arman Prasetya Dwi Kusuma, Irma Erma Suryani Etniko Siagian, Pangestu Sandya Eva Yulia Puspaningrum Fara Disa Durry Fatmah Sari, Allan Ruhui Firmansyah, Taufik Nur Firya Nadhira Gideon Setya Budiwitjaksono Gideon Setya Budiwitjaksono Gunawan, Ellexia Leonie Hadi, Surjo Hafidz Amarul Ma’rufi Hajjar Ayu Cahyani Kuswardhani Halim, Christina Hamawi, Moch. Hawin Heaven Ade Aldrico Henki Bayu Seta Humairah, Sayyidah I Nyoman Dita Pahang Putra I Nyoman Dita Pahang Putra Ilham Ade Widya Sampurno Ilham Ade Widya Sampurno Intan Yuniar Purbasari Jojok Dwiridotjahjono Kraugusteeliana Kraugusteeliana Made Hanindia Prami Swari Mandeni, Ni Made Ika Marinni Mandyartha, Eka Prakarsa Moch. Hatta Mohamad Nur Amin Mohammad Idhom Mohammad Idhom Mohammad Rafka Mahendra A Mohammad Rafka Mahendra Ariefwan Mudjahidin Muhammad Rif'an Dzulqornain Mumtaz, Ahmad Naufal Munoto Mustika, Agung Nadhira, Firya Nahusuly, Barep J. A. I. Naufal Baihaqi Moerrin Ni Made Ika Marini Mandenni Ni Made Ika Marini Mandenni Nuqqy Zahhar, Ahmad Haikal NYOMAN DITA PAHANG PUTRA, NYOMAN Prabowo, Aris Prami Swari, Made Hanindya Prasetyaning Estu Pratiwi Prasetyo, Galih Novian Prismahardi Aji Riyantoko Putri, Fitri Aulia Yuliandi Raditya, Askara Rakha Rizky Mahendra Rangga Laksana A Rangga Laksana Aryananda Refika Ayuna Sari Rheza Rizqi Ahmadi Riana Retno Widiastuty Ridho Syahdindo Rizal Harjo Utomo Sabrina Charya Floribunda Santoso, Sri Fuji Senny Meliyan Setiawan, Ariyono Setiawan, Ariyono Shodiq, Ja’far Slamet Winardi Sri Wibawani Sugeng Purwanto Sugiarto S Sugiarto Sugiarto Sugiarto, Sugiarto Sukri, Hanifudin Sulianto Bhirawa Sunarko, Victor Immanuel Surjo Hadi Suryani, Dedik Taruna Ardianto Terza Damaliana, Aviolla Thalita Syahlani Putri Trimono, Trimono Tsabita Rosyidah Putri Wafiqotul Azizah, Nabila Wahyu Caesarendra Wahyu Dwi Lestari Wahyu S.J. Saputra Wahyu Syaifullah J Wahyu Syaifullah Jauharis Saputra Wan Awang, Wan Suryani Wan Suryani Wan Awang Wan Suryani Wan Awang Wardhani, Naritha Cahya Widianto, Purwito Ridho Wijaya, Pandu Ali Yisti Vita Via