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Journal : CCIT (Creative Communication and Innovative Technology) Journal

Evaluation of E-Government Implementation in Managing Public Service Complaints Using E-GovQual and Importance Performance Analysis (Case Study: CRM - Cepat Respon Masyarakat – of the Jakarta Provincial Government) Sabri Alim; Habibullah Akbar; Gerry Firmansyah; Nenden Siti Fatonah; Budi Tjahjono
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 1 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i1.2922

Abstract

The improvement of public service quality is an effort to enhance the quality and innovation of public services within each government agency periodically, according to the needs and expectations of the society. One of the efforts to enhance the quality of service by public service providers, in order to improve the well-being of the community, is to use public complaints as a basis for making improvements in public services. According to data from the Central Bureau of Statistics in 2022, the population of DKI Jakarta is 10,679,000. The Provincial Government of DKI Jakarta has an integrated complaint system called "Cepat Respon Masyarakat" (CRM), which serves as a platform for the public to report issues within the DKI Jakarta area. The assessment of the "Cepat Respon Masyarakat" system is necessary to ensure that the services provided through the system can be utilized by the public and to obtain feedback regarding aspects that need improvement by the DKI Jakarta Provincial Government, which serves as the service provider. The purpose of this research is to determine the quality of the "Cepat Respon Masyarakat" complaint system using the e-GovQual method and identify attributes that require priority for service quality improvement using Importance Performance Analysis. In this study, 6 dimensions and 21 e-GovQual attributes are used to assess service quality with a sample of 118 respondents. The analysis results indicate a level of conformity of 98.39% (<100%) for the 6 dimensions, meaning that the public service provided through the "Cepat Respon Masyarakat" system still falls short of user expectations. The average gap (GAP) between expectations and performance is -0.03 or < 0, suggesting that, based on public perceptions, the quality of complaint service performance through the CRM system is still not up to par with expectations. The attributes that require improvement are those located in Quadrant A (1 attribute) and Quadrant C (7 attributes). Recommendations are provided based on literature/theory for attributes that need improvement to enhance the quality of complaint services in DKI Jakarta.
Comparative Analysis of Time Series Methods LSTM and ARIMA for Predicting Inventory Availability (Case Study: PT XYZ) Kartawijaya, Edi; Munawar, Munawar; Firmansyah, Gerry; Tjahjono, Budi
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3443

Abstract

Product availability plays a crucial role in supply chain management, directly impacting all aspects of business operations, from production to distribution. This study analyzes the optimization of product availability at PT. XYZ, a frozen and chilled food trading company in Indonesia, focusing on four main commodities: beef, buffalo meat, chicken, and potatoes. Utilizing historical transaction data from 2020 to July 27, 2024, this research compares the performance of two forecasting models: ARIMA (AutoRegressive Integrated Moving Average) and Long Short-Term Memory (LSTM), in predicting product availability The traditional ARIMA model has proven effective in time series data analysis but has limitations in capturing complex patterns and non-linear fluctuations. LSTM, as a machine learning technique, demonstrates superiority in capturing long-term temporal relationships. This study finds that the LSTM model consistently outperforms ARIMA for beef, buffalo meat, and chicken categories, although there is a slight increase in error for the potatoes category. Model performance evaluation is conducted using metrics such as Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). The results indicate that the LSTM model exhibits lower errors compared to ARIMA, proving its effectiveness in predicting dynamic demand patterns. With a better understanding of product availability, the company is expected to reduce operational costs, avoid losses, and enhance customer satisfaction through more efficient supply chain management. This research provides significant insights for PT. XYZ and similar industries in implementing more accurate forecasting methodologies
Co-Authors Achmad Randhy Hans Adhi Fernandes Gamaliel Adilah Widiasti Agung Mulyono Widodo Ahmad Mutedi Akbar, Habibullah Alandrian Surya Tantra Alexander Alexander, Alexander Alnino Dio Putera Amelia Sholikhaq Andriana, Dian Andrianto, Eko Andriyanti Asianto Andriyanti Asianto Anisa Aulia Annazma Ghazalba Anwar Solihin, Muhamad Ardiansyah, Miri Arif Pami Setiaji Arkhab, Muhammad Ersa Asianto, Andriyanti Aulia, Anisa Aurel Elviolita Putri Ayu Larasati Azizah, Anik Hanifa Azzam Robbani, Muhammad Bayu Sulistiyanto Ipung Sutejo Bob Tjahjono Budi Aribowo Budi Tjahjono Budi Tjahyono Budi Tjahyono Budi Tjahyono Devi Irawan Dewi, Riris Septiana Sita Dodo, La Dudy Fathan Ali Dwi Nurmawaty Dwi Pamungkas, Eric Dwiaji, Lingga Dwiputra, Dedy Edi Kartawijaya Eric Dwi Pamungkas Farida Farida Fathan Ali, Dudy Fatonah, Nenden Siti Fernandes Gamaliel, Adhi Ghazalba, Annazma Gilang Banuaji Gunawan, Sholeh Gusti Fachman Pramudi Habibullah Akbar Hadi, Muhammad Abdullah Haryoto, Iin Sahuri Hendaryatna Hendaryatna Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Intan Setya Palupi Irawan, Devi Irsyadul Anam, Reza Ismiyati Meiharsiwi Kailani Ridwan, M Khairurrahman, Rifqi La Dodo Lingga Dwiaji Lisdiana Lisdiana Lisdiana Lisdiana M Bahrul Ulum, M Bahrul Master Maruahal Sidabutar Maulana, Syaban Meiharsiwi, Ismiyati Mochamad Welly Rosadi Muhammad Azzam Robbani Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Kailani Ridwan Munawar Munawar Muslih, Muhamad Mutedi, Ahmad Narul Sakron Nasihin, Anwar Natadirja, Trenggana Nenden Siti Fatomah Nenden Siti Fatonah Nenden Siti Fatonah Nenden Siti Fatonah Nila Rusiardi Jayanti Nindyo Artha Dewantara Wardhana Nixon Erzed Nugraha, William Nugroho Budhisantosa Pamungkas, Ryan Tri Putra, Sipky Jaya Qiqi Asmara, Abdullah Qornain, Fiqar Haytsam Muhammad Dzul Rachman, Riyandi Patu Rahaman, Mosiur Ramadhan, Noval Rizky Randhy Hans, Achmad Reza Irsyadul Anam Rifqi Khairurrahman Riya Widayanti Riyan Asep Susanto Rizky Yananda Rosnanto, Imam RR. Ella Evrita Hestiandari Rudy Setiawan Sabri Alim Sakron, Narul Sandy, Raynaldi Sea, Rona Aulia Wangsa Septianto, Dian Fajar Setiawati, Popong Sholeh Gunawan Sigit Purworaharjo Siti Fatomah, Nenden Sri Redjeki Sugiyanti, Sri Dewi Suhatati Tjandra Suhendar Suhendar, Suhendar Suhendry, Mohammad Roffi Sulistyo, Catur Agus Supardi Supardi Supriyade Supriyade Supriyade, Supriyade Syafika Zalfanissa Dila Tardiana, Arisandi Langgeng Tartila, Gilang Romadhanu Trifina Sartamti Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widodo , Agung Mulyo Widodo, Agung Mulyo Widodo, Agung Mulyono Wijaya, Jacob S William Nugraha Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri