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All Journal TEKNIK INFORMATIKA Jurnal Penelitian Pendidikan IPA (JPPIPA) Applied Information System and Management bit-Tech Journal of Artificial Intelligence and Innovative Applications (JOAIIA) International Journal of Engagement and Empowerment (IJE2) Jurnal Pengabdian Masyarakat Madani Formosa Journal of Science and Technology (FJST) SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Jurnal Inovasi Pengabdian Masyarakat Jurnal Ilmu Komputer (JIK) OKTAL : Jurnal Ilmu Komputer dan Sains Journal of Social Science and Business Studies JRIIN :Jurnal Riset Informatika dan Inovasi TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan Jitu: Jurnal Informatika Utama International Journal of Educational and Life Sciences (IJELS) Dinamika: Jurnal Pengabdian Masyarakat International Journal of Integrated Science and Technology Spectrum: Multidisciplinary Journal Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Pendidikan dan Inovasi Pembelajaran Jurnal Akuntansi dan Sistem Informasi Jurnal Komputer dan Teknik Informatika Jurihum
Emi Sita Eriana
UNIVERSITAS PAMULANG
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Journal : bit-tech

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Optimizing Artificial Intelligence-Based Waste Bank Management Emi Sita Eriana; Afrizal Zein
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2526

Abstract

This study examines the implementation of artificial intelligence (AI) technology to optimize waste bank management in West Pamulang, Indonesia. With the national waste volume reaching 68.5 million tons in 2023 and an annual growth rate of 2-4%, sustainable waste management presents critical challenges. West Pamulang accounts for 60% of regional waste, while Indonesia's 8,000 waste banks only reach 1.7% of the contribution to national waste reduction. Using a mixed method approach, the study was conducted in five waste banks in West Pamulang, South Tangerang during January-April 2025, involving 45 participants selected through purposive sampling. Data collection included participatory observations, interviews, questionnaires, and documentation studies. Reliability was assessed using Cronbach's Alpha 0.89, with validity guaranteed through triangulation. Ethical safeguards include informed consent, data anonymization, and institutional ethical approval. The results show significant operational improvements through AI technologies: computer vision-based classification systems, real-time transaction recording, educational chatbots, and volume prediction systems. Quantitative analysis revealed an increase in transaction efficiency by 75%, a 60% decrease in classification errors, and a decrease in data management time from day to minute. The AI predictive model achieves 92% accuracy in volume estimation and 15% fuel savings through route optimization. The classification system shows an accuracy of 89-97%, reducing the sorting time by 70%. Implementation challenges include limited digital literacy, infrastructure gaps, and inadequate policy support. The study recommends training programs, cost-effective platforms, and multi-stakeholder collaboration for a sustainable AI-enhanced waste management system.
Enterprise Resource Planning (ERP) Performance and Hardware Requirements in Manufacturing Andi Romansyah; Emi Sita Eriana
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2998

Abstract

Despite the critical role of Enterprise Resource Planning (ERP) systems in manufacturing competitiveness, Indonesian companies frequently encounter significant performance bottlenecks attributed to suboptimal hardware configurations. Limited empirical evidence exists regarding optimal hardware specifications for ERP systems within Indonesian manufacturing contexts, creating uncertainty in technology investment decisions.This study investigates the relationship between hardware specifications and ERP system performance to develop evidence-based optimization strategies for Indonesian manufacturing companies. A mixed-methods sequential explanatory design was implemented over 18 months, examining 120 Indonesian manufacturing companies. The research employed quasi-experimental quantitative analysis combined with in-depth qualitative interviews to evaluate five critical hardware components: processor, RAM, storage media, network bandwidth, and network cards. Performance metrics included response time, transaction throughput, and system stability. The optimization framework demonstrated exceptional predictive accuracy with precision of 94.2%, recall of 91.8%, F1-score of 93.0%, and overall model accuracy of 92.5% (R² = 0.892). Hardware optimization achieved performance improvements up to 268%, with storage speed contributing 38.7%, processor performance 28.5%, and RAM capacity 19.8% to overall gains.This comprehensive framework enables Indonesian manufacturing companies to make informed hardware investment decisions with ROI achievement within 3.3 months, providing concrete guidance for digital transformation initiatives and establishing benchmarks for ERP infrastructure optimization in emerging manufacturing economies
Co-Authors Afrizal Zein Afrizal Zein Afrizal Zein Agil Nurcahyo Akhyar, Iscan Nul Amanda Rachmazain Amandha Nabila Putri Ameliawati Andi Romansyah Andika Panji Hermawan Angelita Sherly Saharani Anjani, Ajeng Dwi Ardi Albuhori Ardiansyah, Azril Ardiansyah, Muhammad Raka Ardiansyah, Muhammad Zikri Arifah, Natasya Arum Fiaxsalia Sagita Asep Erlan Maulana Ashari, Muhamad Ihsan Asmara, Permana Djati Aufa Akmal Aurellia Ayu Salsabila Ayu Adellia Zalianty Bangkit Hari Prasetyo Barokah, Nova Rizki Chaerul Hidayat Christien Rozali Cikal Tegar Dakhi, Grace Priskila Dani Dani Darmana, Daksa Dhiaulhaq, Rama Djoha, Deni Saptudin Duta Putra Yudanto Dwi Fahrulrezza Dzikri, Muhammad Tri Putro Alfaz Earnestine, Nathan Noval Jivi Elza Auliya Putri Fahlevi, Muhamad Fahdhan Fahmi Rama Anggara Faiz, Muhammad Alvin Fajar Fadli Sagara Fajar Haditio Farhan Damar Wildan Fazar Azmal Fitria Damayanti Fredy Nandito Palullungan Galuh Saputri Galuh Saputri Haerudin, Heri Hardiansyah Hardiansyah Hary saputra Hermalinda, Nur Isnaini Hilmi Himmatul Jida Aripin I Putu Visnu Adithya Senapati Ichfal Arfiansyah Imam Hidayat Iskandar, Fikih Nur Jayawarsa, A.A. Ketut Karimah, Mufidah Khalisnah Nur Sabila Kumar, Gian Leni Susanti Luky Febrianto Lupi Rohmawati Maharani, Nindya Putri Marza, Berlin Rahmat Melda Ramadhani Milan Nueel Aguilera Mochammad Tri Daryanto Muhamad Hanif Multahadan Muhamad Jaky Jamal Muhammad Fazri Fadillah Muhammad Ihsan Ashari Muhammad Ihsan Ashari Muhammad Rafi Ilham Muhammad Rizqi Muhammad Wahid Muhtadi Muhammad Wahyudi Muhammad Zidane Nadira Putri Hermawan Naila Sifna Wibowo Nova Rahmad Prasetya Novi Miswanti Novi Sugiyantri Nur Azizah Persada, Ghema Nusa Pramudya, Muhammad Rangga Pratama, Aldiyudha Pratama, Rafiq WIdya Pristin Aulia Ranggi Fatmawan Reza Randika Reza Rizki Romadhon Reza Rizki Romadhon Rifky, Muhammad Rivanza, Ardian Rizkyansah, Satriyo Ronggur Hasibuan Salman Farizy Santi Santosa Wijayanto Selipana Sofiah, Nazla Sri Wahyuni Subariah, Risah Suhada Ristianto Suhendra, Ade Sulaeman, Ilham Fadzar Putra Pratama Syifa Kamila Ulayya, Safa Valdiansyah, Muhammad Miko Valendito Mangasih Hutauruk Vibra Ikhwan Ramadhan Wawan Ivpani Wijaya, Ade Wulan Pahira Yandira, Avita Yohanes William Kaunang Yuka Pratama Mutiara Alizen Zaenuddin, Imam Zein, Afrizal