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Ahmad Turmudi Zy
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INDONESIA
Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Published by Universitas Pelita Bangsa
ISSN : 2301475X     EISSN : 26567059     DOI : https://doi.org/10.37366/pelitatekno
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT
The journal focused on original research, theoretical and review paper discussing a wide range of trans-disciplinary studies on technology, that include: - Environmental Sciences - Environmental Engineering - Architecture - Informatics Engineering - Informatic Technology - Applied Technology and related field - Geographic Informatic System
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 136 Documents
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Recent advances in environmental application of activated carbon from banana peel (Musa paradiasaca) in removal of heavy metals from kali asem river water Verdino, Fadhel; Sari, Putri Anggun; Riyadi, Agus
Jurnal Pelita Teknologi Vol 20 No 1 (2025): Maret 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i1.6275

Abstract

The rapid growth of industry often brings an increase in waste containing heavy metals such as Fe, Pb, Zn, Al, and Cu, which are toxic and pose a threat to environmental sustainability. Kali Asem, a tributary of the Bekasi River flowing through Bantargebang, Bekasi City, is one of the affected areas due to the high waste burden from the TPST Bantargebang and TPAS Sumurbatu. Preliminary studies have shown that the river water contains iron (Fe) and manganese (Mn) levels that exceed the quality standards. Adsorption is one of the effective methods to reduce heavy metal concentrations in wastewater. Currently, bio-based adsorbents made from fruit and vegetable waste are gaining popularity due to their eco-friendly nature, affordability, renewability, ease of synthesis, and high efficiency. Banana peels (Musa paradisiaca), in particular, contain cellulose that can be processed into activated carbon for use as an adsorbent. This study aims to evaluate the effectiveness of activated carbon derived from kepok banana peels in reducing Fe and Mn concentrations in Kali Asem river water. The research uses an experimental method with a focus on measuring Fe and Mn levels before and after treatment.
IDENTIFIKASI LOGAM BERAT (PB) SEBAGAI INDIKATOR PENCEMARAN AIR DI SUNGAI Pratama, Ardi; Pangestu, Teddy; Sari, Putri Anggun
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rivers are one of the surface water that is a source of water for life, the role of rivers is very important so they must be maintained properly. River water is widely used for various domestic, urban, agricultural and industrial purposes. One of the parameters that are very important to know the quality of clean water is the content of dissolved heavy metals. The writing of a literature review in this journal aims to identify heavy metals in river water from various river locations as indicators of river water pollution. The research method used in conducting this study is a descriptive method, meaning research that describes a certain object and explains things related to or systematically describes the facts or characteristics of a certain population in a certain field factually and carefully. The data collection technique in this study uses a documentation method, namely data collection through written documents. In this study, the data obtained through documents collected in the scopus and SINTA databases and processed so that they are relevant to the object of research. Based on the results of research on several references referred to in this journal, it can be concluded that there has been a decrease in water quality in several water sources such as the Halda River, Subin River, Shitalakshya River (fish indicators), Way Umpu River, dug well water in the Banjar Suwung Batan Kendal Landfill Area, South Denpasar which is indicated by the presence of heavy metal Pb (Lead) in the water that exceeds the required threshold. As for the Solwezi and Kifubba Rivers, the Baturusa River Estuary, the Deli River and the Citarum River upstream of the Pb concentration is below the required threshold.
PERENCANAAN GEDUNG PERKULIAHAN BERTINGKAT MENGGUNAKAN BETON BERTULANG BERDASARKAN SNI 2019 DI KABUPATEN BEKASI Atthariq Sihabudin Suhrawardi; Herol; Isria Miharti Maherni Putri; Juse Roejanto
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i2.6472

Abstract

Bekasi Regency, in addition to being one of the largest industrial cities in Indonesia, is also an area that is experiencing rapid population growth and economic development in supporting various needs, including educational facilities. The purpose of this design is to produce a design for a multi-storey lecture building using reinforced concrete according to environmental conditions in Bekasi Regency through the Special Moment Resisting Frame System (SRPMK) approach. With a design method based on SNI 2019, structural modeling using the SAP2000 program, and analyzing the reinforcement plan using Microsoft Excel. Thus, the results of the analysis show that the structural elements of the planned building can withstand various forces with shifts that are still within safe limits. In understanding building design, it plays an important role, so that the application of multi-storey buildings on former rice fields such as in Bekasi Regency can be applied, therefore it is hoped that this design can be a reference for related government agencies and readers and further researchers.
ANALISIS KUALITAS UDARA LABORATORIUM TEKNIK SIPIL UNIVERSITAS ISLAM INDONESIA BERDASARKAN PARAMETER: TSP, PB, DAN CR TOTAL Antari, Syifa Anisa; Wantoputri, Noviani Ima; Abidin, Azham Umar; Nugroho, Adam Rus
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i2.6644

Abstract

The air quality in the Civil Engineering Laboratory is influenced by practical activities involving materials such as cement, concrete, asphalt, aggregates, and steel, all of which can generate Total Suspended Particulate (TSP) and heavy metals such as Lead (Pb) and Total Chromium (Cr). This study aims to analyze the differences in TSP, Pb, and Cr concentrations during periods with and without laboratory activities, as well as to identify risk perceptions and potential health impacts among laboratory users. Sampling was conducted in the Construction Materials Laboratory and the Highway Laboratory using a Low Volume Air Sampler (LVAS) for TSP and Atomic Absorption Spectrophotometry (AAS) for Pb and Cr analysis. Results show that TSP concentrations increased significantly during practical sessions, with the highest value of 2.888 mg/m³ recorded in the Highway Laboratory. The highest Pb concentration reached 0.065888 mg/m³, while Cr peaked at 0.0024 mg/m³, with several Cr measurements exceeding the threshold set by the Ministry of Manpower Regulation No. 5 of 2018. Questionnaire responses indicated exposure to dust, particulate deposits, metallic or chemical odors, and reported health complaints such as coughing, shortness of breath, skin irritation, and headaches. Although some parameters remained below regulatory limits, potential health risks persist due to cumulative exposure and inadequate ventilation.
PENGOLAHAN AIR LINDI TPA PIYUNGAN MEMPERGUNAKAN ADVANCED OXIDATION PROCESS (AOP) DENGAN KOMBINASI OZON (O3) DAN HIDROGEN PEROKSIDA (H2O2) Sanjaya, Tri; Hudori, Hudori
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i2.6645

Abstract

Leachate is a liquid waste generated from the decomposition of solid waste in landfill sites and typically contains high concentrations of organic pollutants. This study aims to evaluate the effectiveness of an Advanced Oxidation Process (AOP) combining ozone (O₃) and hydrogen peroxide (H₂O₂) in reducing COD and TSS levels in landfill leachate. The leachate samples were collected from Piyungan Landfill, Bantul. The experiments were conducted using a batch reactor with varying doses of H₂O₂ (10, 20, 30, and 40 ml) and ozonation times of 20, 40, 60, and 80 minutes. The results showed that the highest reduction in COD reached 69% at a 40 ml dose of H₂O₂ with 60 minutes of ozonation. Meanwhile, TSS reduction reached 43% at the same dose of H₂O₂ with 80 minutes of ozonation. Based on these findings, the combination of O₃ and H₂O₂ in the AOP method is effective for treating landfill leachate, particularly for reducing COD and TSS levels.
PENURUNAN LOGAM KADMIUM (CD) DALAM AIR MENGGUNAKAN ADSORBEN BERBASIS MAHKOTA NANAS Fatiha, Nazla Zaharani; Lestari, Puji; Siswoyo, Eko
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i2.6647

Abstract

Cadmium (Cd) is a heavy metal that can harm ecosystems and human health even at low concentrations. Elevated Cd levels may contaminate the food chain and cause health disorders, including kidney damage. Adsorption is considered a promising removal method due to its simplicity, efficiency, and low cost. This study investigates the potential of pineapple crown as a natural adsorbent for cadmium removal from water. A batch adsorption system was applied using non-activated pineapple crown with variations in pH, cadmium concentration, and contact time to determine optimal conditions. Humic acid was also added at different concentrations to evaluate its effect on adsorption performance. The adsorbent was characterized using FTIR and SEM, while cadmium levels were analyzed using Atomic Absorption Spectrophotometry (AAS). The findings indicate that optimal adsorption occurred at pH 7, 10 ppm Cd concentration, and 120 minutes contact time. The adsorption process followed the Langmuir isotherm and second-order kinetic model. The addition of humic acid showed an optimum response at 5%, but its influence was not significant. The maximum removal efficiency reached 88.77%, demonstrating that pineapple crown is an effective and sustainable adsorbent for Cd removal.
POTENSI PENGEMBANGAN KARBON BIRU DI PESISIR GUNUNG KIDUL: KAJIAN LITERATUR DAN OBSERVASI LAPANGAN Mustofa, Ikrom; Islami, Nur Indah; Puspitasari, Rifcha Ayu Dian; Khaidar, Muhammad Al; Udzma, Naila Syafa'atul; Rizky, Rafli Eka
Jurnal Pelita Teknologi Vol 20 No 2 (2025): September 2025
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v20i2.6654

Abstract

Blue carbon refers to carbon stored in coastal and marine ecosystems such as mangroves, seagrass meadows, and salt marshes, which play an important role in climate change mitigation. This study aims to assess the potential for blue carbon development in the coastal area of Gunung Kidul Regency, which is dominated by karst landforms. The methods used include a review of literature related to blue carbon potential in Indonesia and field observations carried out at six coastal sites. The results show that the blue carbon potential in this area is limited due to physical characteristics such as steep karst cliffs and the absence of mangroves, salt marshes, and seagrass ecosystems caused by unsuitable coastal morphology. However, coastal vegetation such as Pandanus tectorius and Casuarina equisetifolia demonstrates relatively high carbon storage capacity and may serve as alternatives for local blue carbon strategies. These findings indicate that blue carbon development efforts in Gunung Kidul should focus on optimizing coastal vegetation adapted to the physical environment. In conclusion, although the limited presence of typical blue carbon ecosystems reduces the region’s storage capacity, opportunities still exist through enhancing the role of resilient coastal vegetation as part of ecosystem-based climate mitigation solutions.
Efektivitas Algoritma Support Vector Machine Dan Naive Bayes Dalam Mengiden Tifikasi Sentimen Ulasan Pengguna Aplikasi Jobstreet : Sebuah Analisis Komparatif Maulana, Donny; Rachman, Nazwa Aulia
Jurnal Pelita Teknologi Vol 19 No 2 (2024): September 2024
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v19i2.7297

Abstract

This study develops an automated sentiment analysis system to classify Indonesian-language user reviews of the JobStreet application from the Google Play Store. It compares the performance of two machine learning algorithms, Support Vector Machine (SVM) and Naive Bayes. The review data were preprocessed through cleaning, case folding, tokenization, normalization, stopword removal, and stemming before model training and evaluation. Performance was measured using accuracy, precision, recall, and F1-score. The results show that SVM outperformed Naive Bayes, achieving 97% accuracy, 0.98 precision, 0.96 recall, and a 0.97 F1-score. In comparison, Naive Bayes achieved 89% accuracy, 0.93 precision, 0.83 recall, and a 0.86 F1-score. SVM demonstrated more balanced precision and recall across sentiment classes, indicating better classification performance. These findings suggest that SVM is more effective for Indonesian-language sentiment analysis and has strong potential for implementation in automated systems to support intelligent recommendations and improve service quality on digital recruitment platforms
Penerapan Teknik Ensemble Dalam Analisis Sentimen Pelayanan Bea Cukai Pada Platform X Berbasis Soft Voting Widodo, Edy; Tantowi, Raihan
Jurnal Pelita Teknologi Vol 19 No 2 (2024): September 2024
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v19i2.7298

Abstract

Penelitian ini menganalisis sentimen publik terhadap pelayanan Bea Cukai di Indonesia yang menjadi sorotan di media sosial X. Metode Soft Voting digunakan dengan menggabungkan prediksi algoritma Naïve Bayes, K-Nearest Neighbor, dan Decision Tree pada data unggahan pengguna yang diproses melalui tahapan KDD, preprocessing, N-Gram 1–3, serta SMOTE, dan dievaluasi menggunakan Stratified K-Fold Cross Validation (5 fold). Hasil menunjukkan akurasi Naïve Bayes sebesar 93%, Decision Tree 85%, dan KNN 57%, sedangkan metode Soft Voting menghasilkan akurasi 99% pada data uji dan turun sekitar 4% pada data baru, menandakan kemampuan generalisasi yang baik serta pengurangan kesalahan klasifikasi, khususnya pada tweet negatif. Walaupun secara kuantitatif sentimen mayoritas tampak positif, analisis wordcloud menunjukkan dominasi isu negatif seperti penahanan barang, dugaan korupsi, dan permasalahan sistem yang menjadi perhatian utama publik. Oleh karena itu, Direktorat Jenderal Bea dan Cukai perlu memperkuat penerapan kode etik serta penegakan regulasi terkait guna meningkatkan transparansi dan kepercayaan masyarakat.
Implementasi Alat Deteksi Asap Rokok Berbasis Internet of Things (IoT) Untuk Pemantauan Ruang Tertutup Bebas Asap Rokok di PT. NOK Indonesia Budiarto, Eko; Fajri, Nurul
Jurnal Pelita Teknologi Vol 19 No 2 (2024): September 2024
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v19i2.7299

Abstract

Pelanggaran kawasan bebas asap rokok di lingkungan industri masih sering terjadi akibat keterbatasan pengawasan manual, sehingga diperlukan sistem pemantauan otomatis. Penelitian ini bertujuan merancang dan mengimplementasikan alat deteksi asap rokok berbasis Internet of Things (IoT) untuk mendukung kebijakan Kawasan Tanpa Rokok di PT. NOK Indonesia. Metode penelitian menggunakan pendekatan eksperimen melalui perancangan prototipe yang mengintegrasikan sensor gas MQ-2, mikrokontroler ESP32, buzzer, LED, dan notifikasi real-time melalui aplikasi Telegram. Pengujian dilakukan terhadap fungsi sensor, respon aktuator, serta kecepatan pengiriman notifikasi. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi asap rokok secara akurat pada jarak 1–9 cm, mengaktifkan alarm visual dan audio, serta mengirimkan peringatan instan ke perangkat petugas dengan tingkat keberhasilan 100% selama uji coba. Dengan demikian, sistem yang dikembangkan terbukti lebih efektif dibandingkan pengawasan manual dalam meningkatkan kecepatan respon dan akurasi deteksi, sehingga berpotensi mengurangi pelanggaran serta mendukung terciptanya lingkungan kerja yang lebih sehat dan aman, serta memungkinkan pengembangan lanjutan melalui integrasi dengan sistem keamanan lain seperti CCTV atau pemantauan terpusat.

Page 13 of 14 | Total Record : 136

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