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All Journal AKSIOMA : Jurnal Sains Ekonomi dan Edukasi SISFOTENIKA
Weli Zuandi
Universitas Nahdlatul Ulama Kalimantan Barat
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Klasifikasi Citra Kebakaran Hutan Menggunakan Arsitektur ResNet-50 Berbasis Transfer Learning: Forest Fire Image Classification Using ResNet-50 Architecture Based on Transfer Learning Aditya Pratama; Candra Gudiato; Denny Primanda; Weli Zuandi; Wahyu Prayitno
SISFOTENIKA Vol. 16 No. 2 (2026): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v16i2.707

Abstract

Kebakaran hutan dan lahan (karhutla) merupakan bencana lingkungan serius yang memerlukan sistem deteksi dini secara akurat dan efisien guna meminimalisir dampak kerusakan. Penelitian ini bertujuan untuk menguji keandalan dan efisiensi arsitektur ResNet-50 berbasis Transfer Learning dalam mengklasifikasikan citra digital kebakaran hutan ke dalam dua kelas biner (wildfire dan nowildfire). Dataset sekunder yang diunduh dari repositori terbuka Kaggle terlebih dahulu melalui tahap pra-pemrosesan, mencakup pemeriksaan integritas data (data integrity check) untuk menangani file gambar yang rusak/korup, pengubahan ukuran citra (resizing) menjadi 128 × 128 piksel, normalisasi nilai piksel, serta teknik augmentasi data acak. Dataset dibagi secara terpisah dengan proporsi rasio 70% data latih (30.250 citra), 15% data validasi (6.300 citra), dan 15% data uji (6.300 citra). Arsitektur ResNet-50 dikombinasikan dengan classification head buatan (Global Average Pooling 2D, Dense Layer 256 unit dengan ReLU, Dropout 0.4, dan Output Sigmoid) serta dilatih selama 5 epoch menggunakan optimizer Adam (default learning rate 1 × 10⁻3) dan fungsi kerugian Binary Cross-Entropy Loss. Evaluasi terhadap 6.300 citra uji independen menunjukkan bahwa model mampu mencapai Akurasi Keseluruhan sebesar 88%. Model terbukti memiliki sensitivitas tinggi terhadap kelas kebakaran (wildfire) dengan Recall sebesar 0.90 dan F1-Score sebesar 0.90 (berhasil mengenali 3.141 dari 3.480 citra kebakaran secara tepat). Pengujian Receiver Operating Characteristic (ROC) Curve menghasilkan nilai Area Under Curve (AUC) sebesar 0.92, yang menegaskan kemampuan pemisahan kelas (class separation ability) yang sangat unggul. Hasil ini membuktikan bahwa pendekatan Transfer Learning berbasis ResNet-50 sangat efektif dan efisien untuk diterapkan sebagai mesin pemrosesan visual utama pada sistem peringatan dini kebakaran hutan
Evaluasi Pengolahan Air Lindi di Area Penimbunan Tailing, Fly Ash, Bottom Ash Berdasarkan Parameter pH, TSS dan Fe (Studi Kasus pada Salah Satu Industri Pengolahan Bauksit di Kalimantan Barat) Nini Malasari; Weli Zuandi; Rizky Putranto
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 3 No. 8 (2026): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/aksioma.v3i8.2843

Abstract

This study aimed to evaluate the effectiveness of the leachate treatment system at a tailings, fly ash, and bottom ash disposal facility of an alumina processing company based on pH, Total Suspended Solids (TSS), and iron (Fe) parameters. A descriptive quantitative research method was employed by collecting leachate samples from the inlet and outlet for five consecutive days. The pH and TSS parameters were measured directly in the field, while Fe concentrations were analyzed in an accredited laboratory. Treatment effectiveness was assessed by comparing water quality before and after treatment in accordance with the effluent quality standards stipulated in the Indonesian Ministry of Environment Regulation No. 34 of 2009. The results showed that the leachate pH was successfully reduced from 12.6–12.7 to 7.2–8.8, meeting the applicable quality standards. TSS concentrations also decreased from 239–798 mg/L to 11–385 mg/L, with an average removal efficiency of 77.47%, and most samples complied with the regulatory standards. In contrast, Fe concentrations increased from 0.42 mg/L to 22.1–30.5 mg/L after treatment, exceeding the maximum allowable limit of 5 mg/L. This increase indicates that the treatment system was ineffective in controlling Fe concentrations, which was likely caused by the remobilization of Fe(OH)₃ precipitates or chemical reactions occurring during the neutralization process. Overall, the leachate treatment system was effective in reducing pH and TSS but requires improvement in Fe removal, particularly during the neutralization and polishing pond stages.
Pemanfaatan Limbah Padat Ampas Kopi Menjadi Lilin Aromaterapi (Studi Kasus Coffee Shop Bermuda) Lini Purwanti; Weli Zuandi; Ikdham Nurul Khalik
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 3 No. 9 (2026): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/aksioma.v3i9.2972

Abstract

The increasing consumption of coffee and the growth of coffee shop businesses have resulted in a growing amount of coffee ground waste generated every day. Coffee ground waste that is not properly managed can cause environmental problems due to decomposition, which may produce unpleasant odors and increase the accumulation of organic waste. On the other hand, coffee grounds still have a distinctive aroma and therefore have the potential to be reused as a value-added product. One alternative for utilizing coffee ground waste is processing it into aromatherapy candles. This research was conducted at Bermuda Coffee Shop to determine the potential of the coffee ground waste generated and utilize it as an alternative product that can support organic waste management. The objectives of this study were to determine the average volume of coffee ground waste generated at Bermuda Coffee Shop, process coffee ground waste into aromatherapy candles, and determine consumers' responses to the aroma of aromatherapy candles made from coffee grounds through a hedonic test. This study used an experimental method with a descriptive quantitative approach. Coffee ground waste was measured for seven days, then dried and processed into aromatherapy candles using beeswax and coconut oil. A hedonic test was conducted with 30 respondents using a 1–5 scale. The data were analyzed using frequency, percentage, mean, and mode. The results showed that Bermuda Coffee Shop generated an average of 3 kg of coffee ground waste per day. A total of 1.05 kg of coffee grounds was used to produce 30 aromatherapy candles. The hedonic test resulted in an average score of 3.60, with a mode of 3 (neutral). Of the respondents, 50% rated the aroma as neutral, 40% as liked, and 10% as highly liked. These results indicate that aromatherapy candles made from coffee grounds were reasonably well accepted by the respondents and have potential as an alternative method of utilizing organic waste into a value-added product. Further development can be carried out by improving the composition of materials and enhancing the quality of the candle aroma.
Pemanfaatan Limbah Tisu Sebagai Filler Pembuatan Batako (Studi Kasus: Mie Ayam Bakso Bawor) Gefinanda Anugrah Surya Marzuki; Weli Zuandi; Rinto Wiarta
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 3 No. 9 (2026): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/aksioma.v3i9.2994

Abstract

The increasing amount of tissue waste generated from restaurant activities has the potential to cause environmental problems if not managed properly. One alternative to utilize this waste is by using it as a filler material in the production of concrete masonry blocks (batako). This study aimed to analyze the effect of tissue waste addition on the compressive strength and water absorption of concrete blocks and to evaluate their compliance with the quality requirements specified in SNI 03- 0349-1989. An experimental method was employed using three variations of tissue waste content, namely 0%, 15%, and 20% of the filler composition. The concrete block specimens were produced through the processes of material mixing, molding, curing, and subsequently tested for compressive strength and water absorption after reaching the specified curing age. The results showed that the addition of tissue waste reduced the compressive strength of the concrete blocks. The compressive strength values for the 0%, 15%, and 20% tissue waste variations were 0.725 MPa, 0.496 MPa, and 0.115 MPa, respectively. This reduction was caused by the increase in porosity and the weakening of the bond between the cement paste and aggregates due to the presence of tissue fibers. Meanwhile, water absorption tended to increase with the higher percentage of tissue waste because of the greater number of voids formed within the concrete block structure. In conclusion, the addition of tissue waste significantly affected both the mechanical and physical properties of concrete blocks. Higher tissue waste content resulted in lower compressive strength and higher water absorption, indicating that an optimum proportion of tissue waste is required to ensure its utilization without significantly reducing the quality of concrete blocks.
Co-Authors Aditya Pratama Denny Primanda Gefinanda Anugrah Surya Marzuki Gudiato, Candra Ikdham Nurul Khalik Lini Purwanti Nini Malasari Rinto Wiarta Rizky Putranto Wahyu Prayitno