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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Computech & Bisnis (e-Journal) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Indonesian Journal of Artificial Intelligence and Data Mining Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL ILMIAH MAHASISWA AGROINFO GALUH SEIKO : Journal of Management & Business CYBERNETICS IJISTECH (International Journal Of Information System & Technology) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Ilmiah Manajemen Kesatuan Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) ARSY : Jurnal Aplikasi Riset kepada Masyarakat IJISTECH Journal of Soft Computing Exploration Jurnal Abdimas Kartika Wijayakusuma Locus: Jurnal Konsep Ilmu Hukum Jurnal Administrasi Pemerintahan Desa Jurnal Locus Penelitian dan Pengabdian Nautical: Jurnal Ilmiah Multidisiplin Indonesia Jurnal Teknologi dan Manajemen Industri Terapan Edukasiana: Jurnal Inovasi Pendidikan eProceedings of Engineering Eduvest - Journal of Universal Studies Paradoks : Jurnal Ilmu Ekonomi Nuansa Informatika Informatics Management, Engineering and Information System Journal Electronic Integrated Computer Algorithm Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) International Journal of Computer Technology and Science Jurnal Pengabdian Bakti Akademisi SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Muharman Lubis
Universitas Telkom
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
Prediction of Turbidity Removal Time in Electrocoagulation Wastewater Using Random Forest, XGBoost, and Others: A Data-Driven Information System Approach Suakanto, Sinung; See, Tan Lian; Shaffiei, Zatul Alwani; Firdaus, Taufiq Maulana; Lubis, Muharman; Bayuwindra, Anggera
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4847

Abstract

Electrocoagulation is an effective and environmentally friendly technology for treating wastewater by removing contaminants such as turbidity, heavy metals, and organic compounds. Accurately predicting turbidity removal time is essential for optimizing treatment performance and operational efficiency. However, this is challenging due to complex, nonlinear relationships between multiple parameters including current, voltage, electrode configuration, conductivity, and turbidity removal rate. This study aims to develop a predictive framework by comparing six supervised regression models, namely Linear Regression, Polynomial Regression, Random Forest, Support Vector Regression (SVR), XGBoost, and Long Short-Term Memory (LSTM), using key electrocoagulation parameters. After extensive data preprocessing, a dataset of 281 samples was used for training and validation. Among them, Random Forest achieved the best performance (R² = 0.876, RMSE = 601.15). A data-driven information system is proposed to integrate these predictive capabilities for real-time monitoring and control. By improving turbidity prediction accuracy, the system enables the sustainable utilization of water as a valuable asset, even in its wastewater form. The approach enhances decision-making by providing intelligent feedback for process optimization. This research contributes to the advancement of intelligent, sustainable wastewater treatment systems by integrating machine learning prediction models with practical process control applications in informatics.
Development of a Strategy for Independent Village Development Based on IDM Predictions Using Linear Regression: A Study of Bi'ih Village, South Kalimantan Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5265

Abstract

Village development in Indonesia still faces inequality due to uneven utilization of technology, resulting in many villages lagging behind economically despite their strong social and environmental potential. This study aims to predict the status of the Village Development Index (IDM) of Bi’ih Village in 2025 and formulate development strategies toward an independent village through the integration of information technology and local wisdom. The method used is linear regression analysis of IDM data from 2017 to 2024, followed by a gap analysis comparing the achievements of Bi’ih Village with those of 11 self-reliant villages in Karang Intan Subdistrict. The prediction results show that the IDM value of Bi’ih Village in 2025 will be 0.7744, placing it in the Advanced category, 0.0411 points below the Independent threshold (>0.8155). The Social Resilience Index (IKS = 0.8782) and Environmental Resilience Index (IKL = 0.8388) have exceeded the Independent threshold, while the Economic Resilience Index (IKE) remains low at 0.6061. The main constraints include limited access to digital markets, manual financial record-keeping, and low digital literacy among village entrepreneurs. The novelty of this research lies in the formulation of a development strategy based on the integration of ICT and local wisdom, with a focus on strengthening digital BUMDes, implementing integrated financial systems, developing upstream–downstream partnerships, and branding local products. This approach demonstrates that digitalization rooted in local wisdom can enhance economic productivity, strengthen resilience, and support sustainable progress toward independent-village status.
Analyzing User Needs and Recommending Targeted Features for Bi’ih Village Tourism Website Using Text Mining and K-Means Clustering Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar; Handayani, Dini
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5458

Abstract

Tourism village websites often do not fully reflect user needs, resulting in digital services that cannot be optimally utilized by residents and potential tourists. This situation limits access to information and reduces the effectiveness of tourism promotion efforts, especially in villages that are undergoing digital transformation. This study was conducted to identify the overall needs of users and compile data-based feature recommendations for the development of the Bi'ih Village website as a durian tourism village. The research method used a quantitative approach through the distribution of an online questionnaire to 110 respondents consisting of visitors and residents, with five open-ended questions and several structured questions. The data was analyzed using text mining to find dominant words and themes, as well as the K-Means Clustering technique determined through the Elbow method to group user characteristics. The analysis results showed that there were 2,702 tokens and 677 meaningful words, with the highest demand for government information and visual tourism content. The segmentation process produced three main groups, namely Active Supporters (61.4%), Tech Enthusiasts (27.3%), and Moderate Users (11.4%). This study contributes a data-driven approach to designing more relevant and measurable features for tourism village websites. The impact is expected to increase the adoption of village digital services, strengthen tourism competitiveness, and support the acceleration of the Smart Village concept implementation. The novelty of this study lies in the integration of text mining and clustering as the basis for developing user-oriented feature recommendations.
Co-Authors A. TAUPIK RAHMAN Abdul Hakim Satria Nusantara Abdullah Muhammad, Hasan Abdulmana, Sahidan Achmad Rafi Addini Firdaus, Fitri Adillah, Muhammad Fauzan Nur Adinda Laras Ayu Aditya, Anggi Yudistira Adityas Widjajarto Agus Ambarwari Agustiana, Nathifa Ahmad Musnansyah Akbar Habib Buana Wibawa Putra Akbar Nurwahyu Arifin Putra Al Khowarizmi Ali Nurdin Ali Nurdin Alqahtani, Raied Ali Alvan Kamal Amanah, Raisyah Nurul Amri Amri Amril, Salsabila Zahrani Ana, Asri Andartya Setyawan Darna Annastasia, Syifa Anuraga, Rahadhitya Artamevia, Mima Asriana Asriana, Asriana Asti Amalia Nur Fajrillah Ayu, Adinda Laras Bayuwindra, Anggera Budianto, Farhan Alif Budianto, Setyo Constantino, Matias Garcia Deden Witarsyah Dika, Dafa Dinda Bayu Rama Dila, Revyolla Ananta Dinayatullah, Ledi Dini Handayani, Dini Dini Oktarina Dwi Handayani DM, Burhanis Sulthan Dwi Hary Sandy, Muhammad Dzakiyyah Al Kaazhim Edwinsyah, Muhammad Ega Mardoyo Ega Mardoyo Erlangga, Faezal Fadilah, Zikri Fakhrurroja, Hanif Fansyah, Egi Al Farhana Zahra Farid Farid, Farid Farma, Junia Fasya, Muhammad Haikal Fathia, Dhiya Fauzan, Ratandi Ahmad Faza, Sharfina Febriyani, Widia Firdaus, Taufiq Maulana Fitrah Khairi Fitriyana Dewi Fonna, Rizki Putri Nurita Gabriel Ardi Hutagalung Garcia-Constantino, Matias Ghifari, Muhamad Yazid Gunawan, Dian Habibi Ramdani Safitri Hafiizh Maulana Halim, Hendra Harefa, Hafid Rahman Herlina, Nenden Eva Meilani Hermawan, Fairuz Fernanda Hikmah Adwin Adam Humairo, Annisa Ikbar, Thoriq Ikhlas Fuad Zamzami Ikhsan, Alif M. Ilham Ramadhan Nasution Iqbal Santosa Iqbal Yulizar Mukti Irhan Kahirul Umam Irvan, Irvan Jihan Audia Mulya Julham Julham Julham Julham Kamal, Alvan Kamil, Idham Kartini, Ani Laily Indaryani Lubis, Arif Ridho Lubis, Fahdi Saidi Lukman Abdurrahman Lukmanul Hakim Lukmanul Hakim M. K. Rizal Syahputra M. Shabri Abd. Majid Matias Garcia Constantino Matias Garcia-Constantino Mhd Faris Pratama Mikhail, Muhammad Hibban Mima Artamevia Mira Kartiwi Mochamad Hariadi Mochamad Yudha Febrianta Muhammad Dwi Hary Sandy Muhammad Haikal Fasya Muhammad Luthfi Hamzah Muhammad Mahendra Muhammad, Hasan Abdullah Muhdiantini, Cindy Mukti, Iqbal Mukti, Iqbal Yulizar Mukti, ⁠Iqbal Yulizar Mulhartono, Tomi Mulyati, Rika Muttaqin, Alif Noorachmad Nabiel Muhammad Al Ghazali Naufal Wirawan, Muhammad Neca Aqila Nelsa, Putri Nguyen Kieu Trang Ni Made Purnami Noorachmad Muttaqin, Alif Nur Ichsan Utama Nurlina, Eka Nurma Sari, Nurma Nuryatno, Edi Triono Nusantara, Abdul Hakim Satria Oktariani Nurul Pratiwi Paradita, Anggraeni Xena Parameswari, Sang Dara Paramita, Paramita Possumah, Mercy Kristina Pradana, Vega Putra Prahastiwi, Narita Ayu Prajaya, Fannzy Bayu Askar Prayoga, Danar Prayudani, Santi Putri Luthfiah Harmaya Qadhli Jafar Adrian R. Wahjoe Witjaksono Rafi, Achmad Rafian Ramadhani Rafian Ramadhani Rafsanjani, Rayhan Rafael Rahadhitya Anuraga Raharjo, Adi Rahmat Fauzi Rahmat Mulyana Rahmat, Hadian Raied Ali Alqahtani Rakan, Raihan Ramadhan, Yumna Zahran Ramadhani, Rafian Rayhan Rafael Rafsanjani Romi Fadillah Rahmat Rukmana, Putri Utami Sadewa, Rizki Sahidan Abdulmana Sandy, Muhammad Dwi Harry Sandy, Muhammad Dwi Hary Sarah Purnamawati See, Tan Lian Setiadi, Ridwan Shaffiei, Zatul Alwani Shafira Fatimah Azzahra Silvia, Vivi Sinung Suakanto Siregar, Fachrul A Sonny Zulhuda Supeno Mardi Susiki Nugroho, Supeno Mardi Susetyo Bagas Bhaskoro Syah, M. Edwin Syahrizal, Teuku Muhammad Taufiq Carnegie Dawood Teguh Kurniawan, Mochamad Thamrin, Daffa Shidqi Thoriq Ikbar Tien Fabrianti Kusumasari Trang, Nguyen Kieu Umar Yunan Kurnia Septo Hediyanto Umuri, Khairil Vega Putra Pradana Vreseliana Ayuningtyas Wihayanti, Titik Wirawan, Muhammad Naufal Yani, Mega Fitri Yulio Ferdinand Yuyun Yusnida Lase Zahran, Muhammad Hanif Zamzami, Ikhlas Fuad Zulkifli Zulkifli