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All Journal Ecotrophic, Journal of Environmental Science Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Journal of Environmental Engineering and Sustainable Technology Jurnal Sains & Teknologi Lingkungan Insect (Informatics and Security) : Jurnal Teknik Informatika Jurnal Tekno Insentif Eksakta : Berkala Ilmiah Bidang MIPA Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer Networks, Architecture and High Performance Computing DEVICE Jurnal Studi Islam Lintas Negara (Journal of Cross-Border Islamic Studies) Jurnal Info Sains : Informatika dan Sains Action Research Literate (ARL) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pengabdian Pelitabangsa Malcom: Indonesian Journal of Machine Learning and Computer Science QISTINA: Jurnal Multidisiplin Indonesia Journal of Artificial Intelligence and Digital Business Jurnal Lentera Pengabdian Jurnal Pelita Pengabdian SAINTEK Ambidextrous : Journal of Innovation, Efficiency and Technology in Organization Jejak digital: Jurnal Ilmiah Multidisiplin
Dodit Ardiatma
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Analisis Sentimen Ulasan Hotel Zuri Express Lippo Cikarang Menggunakan Algoritma Naive Bayes Dion Marcelino; Edy Widodo; Dodit Ardiatma
Progresif: Jurnal Ilmiah Komputer Vol 22, No 2 (2026): April
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i2.3671

Abstract

The hospitality industry relies heavily on customer satisfaction, which is often reflected through reviews on online travel applications. Hotel Zuri Express Lippo Cikarang requires an automated sentiment monitoring system to enhance its service quality. This study aims to implement the Naive Bayes Classifier algorithm to classify customer review sentiments into positive and negative categories. The research dataset consists of 1,637 reviews obtained via web scraping from the google maps. The research methodology includes text preprocessing, Term Frequency-Inverse Document Frequency (TF-IDF) weighting, and N-Gram (Bigram) feature modeling. The experimental results demonstrate that the model achieves an accuracy rate of 91.16%, with a precision of 0.91 and a recall of 0.99 for the majority class. Keyword analysis using Word clouds identified cleanliness and staff service as the primary factors driving customer satisfaction. Despite challenges in detecting negative sentiments within an imbalanced dataset, the Naive Bayes algorithm proved to be reliable and efficient for automated sentiment analysis, providing a robust tool to support fast and accurate management decision-making.Keywords: Sentiment Analysis; Customer Reviews; Hotel Zuri Express; Naive Bayes; Text mining.AbstrakIndustri perhotelan sangat bergantung pada kepuasan pelanggan yang tercermin melalui ulasan aplikasi travel online. Hotel Zuri Express Lippo Cikarang memerlukan sistem otomatis untuk memantau sentimen guna meningkatkan kualitas layanan. Penelitian ini bertujuan mengimplementasikan algoritma Naive Bayes Classifier dalam mengklasifikasikan sentimen ulasan pelanggan ke kategori positif dan negatif. Data penelitian mencakup 1.637 ulasan hasil web scraping dari google maps. Tahapan penelitian meliputi preprocessing teks, pembobotan kata Term Frequency-Inverse Document Frequency (TF-IDF), serta pemodelan fitur N-Gram (Bigram). Hasil pengujian menunjukkan model menghasilkan tingkat akurasi sebesar 91,16%, dengan nilai presisi 0,91 dan recall 0,99 pada kelas mayoritas. Analisis kata kunci melalui Word cloud mengidentifikasi aspek kebersihan dan pelayanan staf sebagai faktor utama kepuasan pelanggan. Meskipun terdapat tantangan dalam mendeteksi sentimen negatif pada dataset tidak seimbang, algoritma Naive Bayes terbukti handal dan efisien dalam melakukan analisis sentimen otomatis untuk mendukung pengambilan keputusan manajemen hotel secara cepat dan akurat.Kata kunci: Analisis Sentimen; Ulasan Pelanggan; Hotel Zuri Express; Naive Bayes; Text mining.
Perancangan Alat Pembuatan Briket Batok Kelapa Manual Sebagai Energi Alternatif Ramah Lingkungan Alya Anindya Sakanti; Aris Dwi Airlangga; Alivia Chairunnisa; Helmi Meisyahrani; Rama Husni Mujahidin; Dodit Ardiatma
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/q1qewj39

Abstract

Coconut shell is a biomass waste that is abundantly generated from household activities, traditional markets, and coconut-based food industries. However, its utilization remains limited, and open burning is still commonly practiced, causing environmental pollution and health problems. This study aimed to design and implement a manual coconut shell briquette-making device as an appropriate technology for household and small-scale business applications. The study employed a limited-scale field trial combined with a participatory community approach in Sukasari Village, Serang Baru District, Bekasi Regency. The device consisted of a manual meat grinder, steel frame, PVC pipe, wooden board, and recycled can. Operational testing showed that the device was capable of producing approximately 15–20 kg of briquettes per day. The briquettes exhibited satisfactory physical characteristics, including adequate strength, low smoke emissions, and a burning duration of 45–60 minutes. The implementation received positive responses from the local community and demonstrated potential environmental and economic benefits through biomass waste utilization and alternative energy production.
Pemanfaatan Biochar Sebagai Media Filtrasi dalam Pengolahan Air Tercemar Logam Berat: Kajian Efektivitas, Mekanisme Adsorpsi, dan Kelayakan Implementasi di Masyarakat Annysah Amalyah Suwarsono; Nurul Dwi Fitriani; M. Yazid; Josetionov S'more; Haris Prasetyo; Dodit Ardiatma
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/ypcye728

Abstract

Water pollution by heavy metals such as lead (Pb), cadmium (Cd), and chromium (Cr) is a serious environmental problem, particularly in industrial areas such as Bekasi, West Java. Heavy metals are toxic, non-biodegradable, and bioaccumulate in food chains, posing serious risks to human health and ecosystems. This study aimed to evaluate the effectiveness of rice husk and coconut shell-based biochar as alternative filter media through a systematic literature review of scientific articles published between 2021 and 2026, indexed in Scopus, Web of Science, and Google Scholar. The results indicate that coconut shell biochar produced at a pyrolysis temperature of 550°C achieves a BET surface area of 387 m²/g and removal efficiencies of 93.8% for Pb(II), 88.5% for Cd(II), and 81.2% for Cr(VI). The adsorption mechanism is multimechanistic, involving ion exchange, surface complexation, precipitation, and physical adsorption, with kinetics best described by the pseudo-second-order model (R² ≥ 0.99). Feasibility analysis demonstrates that a household-scale biochar filter unit can be produced for IDR 149,000–300,000 and can treat 50–100 liters of water per day with a service life of 3–6 months. Iron-modified biochar innovations improve heavy metal removal efficiency by 25–45% compared to conventional biochar. This technology is deemed technically, economically, and environmentally feasible as an appropriate technology solution for water treatment in low-income communities
Pemanfaatan Teknologi Sistem Pirolisis  Skala Kecil Menggunakan Kompor Oli Bekas sebagai Pemanas Sutrisno Sutrisno; Rendyka Dwi Romero; Elsa Sintya Dewi; Jeesica Diana Putri; Alfi Syahri Fauzan; Dodit Ardiatma
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/1s54pa44

Abstract

The rapid development of technology, particularly Artificial Intelligence (AI), has significantly influenced educational practices, including English language learning. This study aimed to investigate the implementation of Artificial Intelligence in English language learning and explore eighth-grade students’ perceptions toward the use of AI at SMPK 1 Harapan Denpasar. This study employed a descriptive qualitative research design involving 36 eighth-grade students, with seven students selected as interview participants through convenience sampling techniques. Data were collected through observation, questionnaires, interviews, and document analysis. The collected data were analyzed using the interactive model proposed by Miles et al., including data reduction, data display, and drawing conclusions. The findings revealed that AI had been successfully integrated into English learning activities and contributed positively to classroom learning processes. The implementation of AI created a more interactive learning environment and increased students’ enthusiasm and engagement during learning activities. Furthermore, students demonstrated highly positive perceptions regarding the use of AI based on the Technology Acceptance Model (TAM) indicators, namely perceived usefulness and perceived ease of use. Students perceived AI as beneficial in supporting vocabulary development, grammar improvement, pronunciation practice, and assignment completion. AI was also considered easy to use because it provided quick responses and accessible features that encouraged independent learning. Although students recognized certain limitations such as inaccurate responses and system errors, they demonstrated critical awareness by evaluating and verifying AI-generated information. Therefore, the findings suggest that Artificial Intelligence has considerable potential to support and improve the effectiveness of English language learning.
The Concept of Food and Energy Sovereignty in the Film "Pesta Babi" Regarding the Rate of Deforestation in Papua's Forests and Ecological Implications Aditya Vilareal; Hidayahtullah; Keyza Okta; Melania Meirelda; Dodit Ardiatma
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 4 No. 03 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v4i03.535

Abstract

This study aims to analyze the rate of deforestation in Papua and its ecological implications, using the documentary film "Pesta Babi" as a medium for ecological representation and critique. Massive deforestation in Papua, primarily due to food estate projects, oil palm plantation expansion, and mining, has threatened the food and energy sovereignty of indigenous communities. A qualitative approach using media text analysis and a systematic literature review was used in this study. The analysis shows that the forced conversion of indigenous forests not only eliminates traditional biomass-based food and energy sources but also marginalizes local communities, triggers biodiversity loss, and contributes to the global climate crisis. In conclusion, a review of forest management policies that position local communities as rights-holders is needed to reduce the rate of deforestation, protect the food and energy sovereignty of indigenous communities, and prevent natural colonialism.
Pendampingan Studi Kualitas Air Hasil dari Proses Pengolahan IPAL Balai Pialam Yogyakarta Putri Anggun Sari; Dodit Ardiatma
Jurnal Pelita Pengabdian Vol. 1 No. 1 (2023): Januari 2023
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v1i1.2043

Abstract

Peningkatan jumlah penduduk berbanding lurus dengan peningkatan jumlah limbah yang dihasilkan dari aktifitas manusia, dan salah satu limbah yang dihasilkan serta berpengaruh langsung terhadap kualitas lingkungan adalah limbah cair domestic dari aktifitas rumah tangga. Upaya pengelolaan limbah cair domestik rumah secara tepat sangat diperlukan untuk menanggulangi dampak pencemaran dan kerusakan lingkungan yang terjadi. Pemerintah Daerah Istimewa Yogyakarta sejak tahun 1994 sudah mempunyai pengolahan limbah cair domestik terpusat skala regional. Salah satu pengolahan limbah cair domestik yang ada di Daerah Istimewa Yogyakarta adalah Balai Pialam Yogyakarta. Tingginya pertumbuhan penduduk di Yogyakarta dapat berdampak pada penurunan kualitas lingkungan, salah satunya terjadi pencemaran air, oleh karena itu perlu dilakukan studi terkait kualitas air yang dihasilkan dari proses pengolahan IPAL di Balai Pialam Yogyakarta sehingga dapat dipastikan air yang dibuang ke badan air aman serta tidak mencemari lingkungan dan biota air. Sosialisasi yang dilakukan berupa perlu adanya penanganan khusus terhadap kualitas air outlet IPAL untuk parameter yang tidak memenuhi baku mutu seperti DO, BOD, COD dan TSS dan diperlukan adanya kajian mengenai kualitas air dari hulu (upstream) dan hilir (downstream) dari badan sungai (Sungai Bedog) untuk mengevaluasi kualitas air berdasarkan status mutu airnya.
Co-Authors Abdul Halim Anshor Aditya Vilareal Adrianna Syariefur Rakhmat Affin Pratama Agus Riyadi Aji Susanto Akbar Gifari Alfi Syahri Fauzan Alivia Chairunnisa Alya Anindya Sakanti Anggi Muhammad Rifa'i Anggunsari, Putri Annysah Amalyah Suwarsono Ari Setiawan Sholikhin Arif Darmawan Aris Dwi Airlangga Aswan Supriyadi Sunge Aulia Rahayu, Wida Ayu Wahyuningtyas Azhari Tambunan Darmasetiawan, Martin Dion Marcelino Edy Widodo Edy Widodo Elsa Sintya Dewi Ermanto Fadilla, Anelis Nur Fajria Isnaini, Afni Fauzan, Ahmad Helmi Febrianti, Varah Fajrin Fernandez, Yohana Bharagita Fibi Eko Putra Friyatna, Galih Halomoan, Nico Hamdani Hamdani Hamzah Muhammad Mardi Putra Hana Marisa Kurniareja Handi Trianto Haris Prasetyo Helbi Nurul Huda Helmi Meisyahrani Hidayahtullah Ikmal Riyan Firmansyah Ilyas, Nurilman Imam Rifa'i Imelda, Karina Indriyani, Yuyun Mei Irfan Sakti Wahyu Prabowo Isria Miharti Maherni Putri Jamaludin Tasdik Jeesica Diana Putri Johandi Josetionov S'more Karina Imelda Keyza Okta Krisna, Bayu Lestari Zakhasi Al Rusyid, Puti M. Yazid Maulidya, Annisiya Adelfia Mayang Sari Melania Meirelda Miyanti, Violi Mufida, Tiara Ghani Muhammad Najib Muhammad Rivaldy Hafrizia Muhammad Rondi muhidin, asep Nadya Karima Nadya Ulfani Sara Noviaji Joko Priono Nur Ilman Ilyas Nur Ramadhani, Ayudini Nurhidayanti, Nisa Nurul Dwi Fitriani Pramono, Ujang Prasetyo, Bagas Dwi Purnama Sakhrial Pradini Putri Anggun Sari Putri Anggun Sari Putri Anggun Sari Putri Nika Andini Hidayat Putri, Ropiah Miranda Rahma, Zahra Farida Rahman, Akhmad Taufiqur rahmat, siska Rama Husni Mujahidin Rendyka Dwi Romero Rosita Haerani Rosyid, Dimas Abdul Safrizal Rachmana Putra Samsul Ma'arif Saputro, Edy Sari, Putri Anggun Sari, Putri Anggun Setiawan, Martin Darma Shandy, Ery Sinta Salsabilla Aditya Siti Aliyah Solahudin, Didin Suherman ., Suherman SUPRAPTO Surojudin, Nurhadi Sutrisno Sutrisno Tata Tarnita Wahyu Hadikristanto Wardiansyah Widianto, Bayu Catur Yuni Hertati Zahara, Dean