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INDONESIA
JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Published by Smart Education
ISSN : 26154307     EISSN : 26153262     DOI : -
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
Journal of Science and Social Research is accepts research works from academicians in their respective expertise of studies. Journal of Science and Social Research is platform to disclose the research abilities and promote quality and excellence of young researchers and experienced thoughts towards Change for Development. The journal releases on February and July.
Arjuna Subject : -
Articles 4,061 Documents
 403   404   405   406   407 
PENGARUH STRATEGI PROMOSI, KUALITAS GURU DAN CITRA SEKOLAH TERHADAP KEPUTUSAN ORANG TUA MEMILIH SEKOLAH DI SC BEKASI Fransiska Deviana; Lussia Mariesti; Adriani Kala’lembang
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7106

Abstract

Competition among educational institutions drives schools to understand the factors influencing parents' decisions when choosing a school for their children. This study aims to analyze the impact of promotional strategies, teacher quality, and school image on parents' decisions to choose SCB Elementary School. A quantitative approach was employed, utilizing a survey method involving 104 first-grade parents selected via voluntary response sampling from a total population of 293 parents. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression using IBM SPSS Statistics 26. The results indicate that promotional strategies have a positive and significant effect on parental decisions (β = 0.258; p = 0.016), and teacher quality has a positive but non-significant effect (β = 0.104; p = 0.335), whereas school image has a positive and significant effect (β = 0.683; p < 0.001) and serves as the most dominant factor. The overall regression model is significant and explains 76.4% of the variation in parents' decisions regarding school selection. Thus, school image is the primary factor influencing parents' decisions to choose SCB Elementary School.
PENGARUH KOMPETENSI PEDAGOGIK, MOTIVASI KERJA, DAN LINGKUNGAN KERJA FISIK TERHADAP KINERJA GURU DI KOMPLEK AB CABANG BUDIDAYA Elfira Marlina Prisila; Rifki Hanif; Lussia Mariesti Andriany
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7107

Abstract

Teacher performance is a primary factor determining the quality of instruction. This study aims to analyze the influence of pedagogical competence, work motivation, and the physical work environment on teacher performance at the AB Complex Budidaya Branch. The study employs a quantitative approach using a saturated sampling technique. The research population consists of 39 teachers across the Kindergarten A, Elementary School B, Junior High School X, and Vocational High School Z levels. Data were collected via Likert-scale questionnaires and analyzed using IBM SPSS 26, incorporating tests for validity, reliability, classical assumptions, multiple linear regression, t-tests, F-tests, and the coefficient of determination (R²). The results indicate that pedagogical competence, work motivation, and the physical work environment each have a positive and significant effect on teacher performance. Simultaneously, these three variables also exert a positive and significant influence on teacher performance. The coefficient of determination (R²) value of 0.771 indicates that 77.1% of the variation in teacher performance can be explained by pedagogical competence, work motivation, and the physical work environment, while 22.9% is influenced by factors outside the research model. Thus, enhancing pedagogical competence, work motivation, and the physical work environment can support improvements in teacher performance.
PENGARUH KOMUNIKASI INTERPERSONAL, MOTIVASI KERJA, DAN DISIPLIN KERJA TERHADAP KINERJA GURU SD SC BEKASI Devi Fiantiska; Ronald Suryaputra; Widi Dewi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7108

Abstract

This study aims to analyze the influence of interpersonal communication, work motivation, and work discipline on teacher performance at SC Elementary School, Bekasi. The study employed a quantitative approach. The population consisted of 96 teachers at SC Elementary School, Bekasi. Questionnaire data was collected through a Google Form and analyzed using multiple linear regression using SPSS version 26. The results showed that, partially, interpersonal communication had no significant effect on teacher performance, while work motivation and work discipline had a significant effect. The coefficient of determination (CoE) of 0.685 indicates that the three variables interpersonal communication, work motivation, and work discipline simultaneously explained 68.5% of teacher performance, while the remaining 31.5% was explained by other factors not included in the study. This study concludes that improving teacher performance requires an integrated approach through strengthening work motivation, work discipline, and good interpersonal communication to create a conducive work climate.
PENGARUH KEPEMIMPINAN KEPALA SEKOLAH, MOTIVASI KERJA DAN DISIPLIN KERJA TERHADAP KINERJA GURU DI X JAKARTA PUSAT Agatha Septiani Permatasari; Fatur Rahman; Justitadura
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7109

Abstract

This study aims to analyze the influence of principal leadership, work motivation, and work discipline on teacher performance in X Central Jakarta. The study uses a quantitative approach with a survey method. The study population is all 62 teachers in X Central Jakarta. Data collection was carried out through questionnaires, while data analysis used multiple linear regression analysis with the help of the SPSS version 26 program. The results of the study indicate that principal leadership has a positive and significant effect on teacher performance with a calculated t value of 4.552 and a significance of 0.000. Work motivation also has a positive and significant effect on teacher performance with a calculated t value of 5.076 and a significance of 0.000. Work discipline is the variable that has the most dominant influence on teacher performance with a calculated t value of 14.819 and a significance of 0.000. Simultaneously, principal leadership, work motivation, and work discipline have a positive and significant effect on teacher performance with a calculated F value of 111.749 and a significance of 0.000. The coefficient of determination (R²) value of 0.853 indicates that 85.3% of the variation in teacher performance can be explained by the three independent variables, while the remaining 14.7% is influenced by other factors outside the research model. This study concludes that improving teacher performance in X Central Jakarta can be achieved through strengthening the principal's leadership, increasing work motivation, and implementing consistent work discipline.
PENGARUH ORMAS DAN PREMAN DALAM PENGELOLAAN PARKIR LIAR MILIK USAHA PERSEORANGAN YANG BERPENGARUH NEGATIF PADA OPRASIONAL USAHA DITINJAU BERDASARKAN PERDA DKI JAKARTA NO 5 TAHUN 2012 DAN PERGUB DKI JAKARTA NO 31 TAHUN 2017 Hari Dharmawan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7111

Abstract

Abstrak: Pengelolaan parkir merupakan salah satu aspek penunjang terpenting pada suatu usaha/bisnis perseorangan. Karena dengan pengelolaan parkir yang tepat maka dapat memberikan pengalaman berbelanja yang aman dan kenyamanan terhadap para konsumen yang datang ke usaha/bisnis perseorangan tersebut. Namun dengan adanya kelompok organisasi masyarakat (ormas) dan preman yang berusaha untuk menguasai serta mengelola lokasi parkir yang dimiliki oleh tempat usaha/bisnis perseorangan menimbulkan beberapa permasalahan yang berimbas terhadap pemilik usaha/bisnis serta konsumen itu sendiri. Penelitian ini menggunakan metode statute approach dan case approach dalam menganalisa setiap permasalahan yang ada. Dengan dilakukannya penelitian ini maka dapat disimpulkan bahwa kegiatan pengelolaan parkir oleh sekelompok organisasi masyarakat (ormas) dan preman ini dapat dikatakan sebagai kegiatan parkir liar. Dampak negatif yang dirasakan oleh pelaku usaha/bisnis antara lain adalah penambahan beban pengeluaran, intervensi terhadap kebijakan internal usaha dan pengaruh terhadap operasional usaha, sedangkan permasalahan yang dirasakan oleh konsumen antara lain adalah ketidakpastian hukum, pemerasan dan resiko keamanan pada kendaraan.
PENGARUH SERVICE QUALITY, KUALITAS PRODUK DAN HARGA TERHADAP LOYALITAS  PELANGGAN PADA COFFEE SHOP MONDOKOPI KISARAN Adelia Putri Hasibuan; Aris Siregar
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.7112

Abstract

Abstract: This study aims to determine the simultaneous and partial influence of service quality, kualitas produk, and price on customer loyalty. The sample size consisted of 96 respondents. The data analysis technique used was multiple linear regression. The regression results produced the equation Y = 4.601 + 0.324X1 + 0.459X2 + 0.210X3. The F-test resulted in an Fcount value of 71.158 > Ftable (2.70), meaning that service quality, kualitas produk, and price simultaneously influence customer loyalty. The results of the t-test show that, partially, service quality has a positive effect on customer loyalty because tcount (5.734) > ttable (1.98580); kualitas produk has a positive effect on customer loyalty because tcount (5.592) > ttable (1.98580); and price has a positive effect on customer loyalty because tcount (4.211) > ttable (1.98580). The results of the R2 test show an Adjusted R Square value of 0.589, which means that the independent variables consisting of service quality, kualitas produk, and price are able to explain customer loyalty by 58.9%, while the remaining 41.1% is explained by other variables not included in this study. Keywords: service quality, kualitas produk, price, customer loyalty   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh secara simultan dan parsial service quality, kualitas produk dan harga terhadap loyalitas pelanggan. Jumlah sampel sebanyak 96 responden. Teknik analisis data menggunakan regresi linier berganda. Hasil regresi menghasilkan persamaan Y = 4,601 + 0,324X1 + 0,459X2 + 0,210X3. Uji-F menghasilkan nilai Fhitung (71,158) > Ftabel (2,70), artinya service quality, kualitas produk dan harga berpengaruh secara simultan terhadap loyalitas pelanggan. Hasil uji-t, secara parsial service quality berpengaruh positif terhadap loyalitas pelanggan karena thitung (5,734) > ttabel (1,98580), kualitas produk berpengaruh positif terhadap loyalitas pelanggan karena thitung (5,592) > ttabel (1,98580), harga berpengaruh positif terhadap loyalitas pelanggan karena thitung (4,211) > ttabell (1,98580). Hasil uji-R2, nilai Adjusted R Square yaitu 0,589, artinya variabel bebas yang terdiri dari service quality, kualitas produk, dan harga mampu menjelaskan loyalitas pelanggan sebesar 58,9%, sedangkan sisanya 41,1% dijelaskan oleh variabel-variabel lain yang tidak termasuk dalam penelitian ini. Kata kunci: service quality, kualitas produk, harga, loyalitas pelanggan
IMPLEMENTASI SINGLE LAYER PERCEPTRON DALAM KLASIFIKASI KETERSEDIAAN TENAGA KESEHATAN DI PROVINSI SUMATERA UTARA Weny Nur Afdilla Simangunsong; Harmayani Harmayani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7113

Abstract

Abstract: The equitable availability of health workers is an essential factor in improving the quality of healthcare services. The unequal distribution of nurses across regencies and cities in North Sumatra Province has created the need for an approach capable of identifying the level of health workforce availability quickly and objectively. This study aims to implement the Single Layer Perceptron model to classify the level of health workforce availability based on the number of nurses, population, and public health centers. The study utilized secondary data obtained from the North Sumatra Provincial Health Office for the period of 2019–2024. Prior to the training process, the data were normalized using the Min-Max Normalization method and divided into 80% training data and 20% testing data. The training process employed a learning rate of 0.1, a maximum of 3,000 epochs, and an error tolerance of 0.01. The proposed model classified the data into two categories, namely low and high, and was implemented in a web-based application that supports data training, prediction, and classification result evaluation. The results demonstrate that the Single Layer Perceptron model is capable of recognizing patterns in health workforce availability and performing classification effectively, thereby supporting decision-making processes related to the equitable distribution of health workers in North Sumatra Province. Furthermore, the developed system facilitates data management and provides computerized classification results efficiently. Keywords: Single Layer Perceptron, Classification, Artificial Neural Network, Health Workforce, North Sumatra Province.   Abstrak: Ketersediaan tenaga kesehatan yang merata merupakan faktor penting dalam meningkatkan kualitas pelayanan kesehatan. Ketimpangan distribusi tenaga perawat antar kabupaten/kota di Provinsi Sumatera Utara menyebabkan perlunya suatu pendekatan yang mampu mengidentifikasi tingkat ketersediaan tenaga kesehatan secara cepat dan objektif. Penelitian ini bertujuan mengimplementasikan model Single Layer Perceptron untuk mengklasifikasikan tingkat ketersediaan tenaga kesehatan berdasarkan data jumlah perawat, jumlah penduduk, dan jumlah puskesmas. Data yang digunakan merupakan data sekunder dari Dinas Kesehatan Provinsi Sumatera Utara periode 2019–2024. Sebelum proses pelatihan, data dinormalisasi menggunakan metode Min-Max Normalization, kemudian dibagi menjadi 80% data latih dan 20% data uji. Proses pelatihan menggunakan learning rate sebesar 0,1, maksimum epoch sebanyak 3000, serta error tolerance sebesar 0,01. Model menghasilkan klasifikasi ke dalam dua kategori, yaitu rendah dan tinggi, serta diimplementasikan dalam aplikasi berbasis web yang mendukung proses pelatihan, prediksi, dan evaluasi hasil klasifikasi. Hasil penelitian menunjukkan bahwa Single Layer Perceptron mampu mengenali pola ketersediaan tenaga kesehatan dan memberikan hasil klasifikasi secara efektif sehingga dapat mendukung proses pengambilan keputusan dalam pemerataan tenaga kesehatan di Provinsi Sumatera Utara. Implementasi sistem yang dikembangkan juga mempermudah pengelolaan data dan penyajian informasi klasifikasi secara terkomputerisasi. Kata Kunci: Single Layer Perceptron, klasifikasi, jaringan saraf tiruan, tenaga kesehatan, Provinsi Sumatera Utara.
KLASIFIKASI KESESUAIAN BIDANG PELATIHAN CALON TENAGA KERJA MENGGUNAKAN INFORMATION GAIN DAN RANDOM FOREST Rika Nofitri; Suparmadi Suparmadi; Cecep Maulana
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7114

Abstract

Abstract: Selecting appropriate vocational training fields for prospective workers at Job Training Centers (BLK) is critical for optimizing skill development and ensuring job market alignment. However, manual selection processes and high-dimensional datasets containing irrelevant candidate attributes often lead to classification inaccuracies and computational noise. This study proposes an optimized classification model combining the Information Gain (IG) feature selection method with the Random Forest algorithm to enhance prediction accuracy for training field suitability. Using a dataset of 233 candidate records, feature weighting was executed via Information Gain to eliminate redundant demographic attributes. The feature selection identified four dominant predictors: Academic Potential Test (TPA) score, interview score, vocational skill score, and BLK training choice. Experimental evaluation was conducted using a 70:30 train-test split in RapidMiner Studio. The experimental results demonstrate that applying Information Gain reduced the feature space from nine to four attributes, increasing classification accuracy from 87.14% (baseline Random Forest) to 90.00% (+2.86%). Furthermore, the model achieved a notable precision enhancement, rising from 86.96% to 93.44% (+6.48%), and an improved F1-Score of 94.21%. These findings confirm that removing non-contributing demographic variables mitigates dataset noise and enables Random Forest to form more effective decision boundaries. The optimized model offers a robust, objective framework to support decision-making systems in candidate placement at vocational training institutions. Keywords: Information Gain, Random Forest, Feature Selection, Training Field Classification, RapidMiner.   Abstrak: Penentuan bidang pelatihan vokasi yang tepat bagi calon peserta di Balai Latihan Kerja (BLK) sangat krusial untuk mengoptimalkan pengembangan keterampilan dan kesesuaian dengan kebutuhan pasar kerja. Namun, proses seleksi manual dan tingginya dimensi dataset yang memuat atribut kandidat kurang relevan sering kali menyebabkan ketidakakuratan klasifikasi serta noise komputasi. Penelitian ini mengusulkan model klasifikasi teroptimasi yang menggabungkan metode seleksi fitur Information Gain (IG) dengan algoritma Random Forest untuk meningkatkan akurasi prediksi kesesuaian bidang pelatihan. Menggunakan dataset sebanyak 233 data calon peserta, pembobotan fitur dieksekusi melalui Information Gain untuk mengeliminasi atribut demografis yang redundan. Hasil seleksi fitur berhasil mengidentifikasi empat prediktor dominan: nilai Tes Potensi Akademik (TPA), nilai wawancara, nilai kejuruan, dan pilihan BLK. Evaluasi eksperimental dilakukan dengan pembagian data train-test sebesar 70:30 pada perangkat lunak RapidMiner Studio. Hasil pengujian membuktikan bahwa penerapan Information Gain yang mereduksi ruang fitur dari sembilan menjadi empat atribut mampu meningkatkan akurasi klasifikasi dari 87,14% (model awal Random Forest) menjadi 90,00% (+2,86%). Selain itu, model ini mencapai peningkatan presisi yang signifikan, naik dari 86,96% menjadi 93,44% (+6,48%), serta kenaikan F1-Score menjadi 94,21%. Temuan ini mengonfirmasi bahwa penghapusan variabel demografis yang tidak berkontribusi berhasil mengurangi noise data dan memungkinkan Random Forest membentuk pohon keputusan yang lebih efektif. Model teroptimasi ini memberikan kerangka kerja yang objektif dan andal untuk mendukung sistem pengambilan keputusan dalam penempatan calon peserta di lembaga pelatihan vokasi. Kata kunci: Information Gain, Random Forest, Seleksi Fitur, Klasifikasi Bidang Pelatihan, RapidMiner.
KEBERLANJUTAN EKONOMI BUDIDAYA PEMBESARAN IKAN PATIN (Pangasius hypophthalmus) DI KAMPUNG PATIN MODERN KABUPATEN OKU TIMUR Desuneti Desuneti; Lis M. Yapanto; Donwill Panggabean
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7115

Abstract

Abstract: This study aims to analyze the economic sustainability of pangasius (Pangasius hypophthalmus) grow-out aquaculture in Kampung Patin Modern, East OKU Regency. The study employed the Rapid Appraisal for Fisheries (RAPFISH) approach using Multi-Dimensional Scaling (MDS), focusing on the economic dimension supported by social, ecological, institutional, and policy dimensions. The results indicate that the economic sustainability index is 62.41, categorized as moderately sustainable. The Monte Carlo analysis shows a difference of 1.13, indicating model stability. The coefficient of determination (R²) of 0.974 and stress value of 0.117 confirm the reliability of the model. Leverage analysis identifies feed cost, fish price, market access, business profitability, and business scale as key influencing attributes. Overall, pangasius aquaculture demonstrates sustainable economic potential but requires improvements in efficiency, market access, and policy support. Keywords: Economic Sustainability, Pangasius, RAPFISH, Aquaculture   Abstrak: Penelitian ini bertujuan untuk menganalisis keberlanjutan ekonomi budidaya pembesaran ikan patin (Pangasius hypophthalmus) di kawasan Kampung Patin Modern Kabupaten OKU Timur. Pendekatan yang digunakan adalah Rapid Appraisal for Fisheries (RAPFISH) dengan metode Multi-Dimensional Scaling (MDS) yang difokuskan pada dimensi ekonomi serta didukung oleh dimensi sosial, ekologi, kelembagaan, dan kebijakan. Hasil analisis menunjukkan bahwa nilai indeks keberlanjutan ekonomi sebesar 62,41 yang termasuk dalam kategori cukup berkelanjutan. Hasil uji Monte Carlo menunjukkan selisih sebesar 1,13, yang mengindikasikan model stabil dan tidak sensitif terhadap kesalahan acak. Nilai koefisien determinasi (R²) sebesar 0,974 dan nilai stress sebesar 0,117 menunjukkan bahwa model memiliki tingkat keandalan yang tinggi. Analisis leverage menunjukkan bahwa atribut yang paling berpengaruh terhadap keberlanjutan ekonomi adalah biaya pakan, harga jual ikan, akses pasar, keuntungan usaha, dan skala usaha. Secara keseluruhan, budidaya ikan patin memiliki potensi ekonomi yang berkelanjutan, namun masih memerlukan peningkatan efisiensi usaha, penguatan akses pasar, serta dukungan kebijakan. Kata Kunci: Keberlanjutan Ekonomi, Ikan Patin, RAPFISH, Budidaya, OKU Timur
PENGARUH DOSIS BIOKATALISATOR LIMBAH KULIT PISANG KEPOK DAN BAKTERI Bacillus subtilis TERHADAP NILAI BOD DAN COD LIMBAH CAIR TAHU Ahmad Irfan Ramadhan; Miesriany Hidiya; Andini Tribuana Tunggadewi; Emil Wahdi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7116

Abstract

Abstract: Kepok banana peel is one of the organic wastes that can pollute the environment if not managed properly, yet it has the potential to be used as a raw material for biocatalysts. This study aimed to produce a biocatalyst from kepok banana peel waste and to analyze the effect of adding the biocatalyst and Bacillus subtilis bacteria in reducing the Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) of tofu wastewater. The biocatalyst was produced through 12 weeks of anaerobic fermentation using a molasses, banana peel, and water ratio of 1:3:10. Two treatments were applied, namely the addition of biocatalyst (P1) and the addition of biocatalyst and bacteria (P2), at doses of 10%, 15%, and 20% with three replications and a 48-hour contact time. Data were analyzed using the Shapiro-Wilk normality test, two-way ANOVA, and Tukey post hoc test. The results showed that the biocatalyst was not able to reduce the BOD and COD of tofu wastewater; both parameters actually increased as the dose increased. The dose factor had a significant effect on the increase in BOD and COD (Sig = 0.000), whereas the treatment factor and its interaction were not significant. Thus, the addition of the biocatalyst was not able to reduce the pollutant load and instead increased the organic load of the tofu wastewater. This finding indicates the need for biocatalyst purification prior to application in order to minimize free organic compounds, along with adjustment of dose and contact time so that the degradation process takes place optimally. Keywords: Biocatalyst, Kepok Banana Peel Waste, Tofu Wastewater, BOD, COD   Abstrak: Limbah kulit pisang kepok merupakan limbah organik yang dapat mencemari lingkungan apabila tidak dikelola dengan baik, namun berpotensi dimanfaatkan sebagai bahan baku biokatalisator. Penelitian ini bertujuan membuat biokatalisator dari limbah kulit pisang kepok serta menganalisis pengaruh penambahan biokatalisator dan bakteri Bacillus subtilis dalam mereduksi kadar Biochemical Oxygen Demand (BOD) dan Chemical Oxygen Demand (COD) limbah cair tahu. Biokatalisator dibuat melalui fermentasi anaerob selama 12 minggu dengan perbandingan molase, kulit pisang kepok, dan air 1:3:10. Penelitian menggunakan dua perlakuan, yaitu penambahan biokatalisator (P1) serta penambahan biokatalisator dan bakteri (P2), dengan dosis 10%, 15%, dan 20% dan tiga kali ulangan pada waktu kontak 48 jam. Data dianalisis dengan uji normalitas Shapiro-Wilk, ANOVA dua arah, dan uji lanjut Tukey. Hasil penelitian menunjukkan biokatalisator yang dihasilkan belum mampu menurunkan kadar BOD dan COD limbah cair tahu; nilai kedua parameter justru meningkat seiring bertambahnya dosis. Faktor dosis berpengaruh signifikan terhadap peningkatan nilai BOD dan COD (Sig = 0,000), sedangkan faktor perlakuan dan interaksinya tidak signifikan. Dengan demikian, penambahan biokatalisator belum mampu mereduksi kadar pencemar dan justru meningkatkan beban organik limbah cair tahu. Temuan ini mengindikasikan perlunya pemurnian biokatalisator sebelum diaplikasikan untuk meminimalkan senyawa organik bebas, disertai penyesuaian dosis dan waktu kontak agar proses degradasi berlangsung optimal. Kata Kunci: Biokatalisator, Kulit Pisang Kepok, Limbah Cair Tahu, BOD, COD

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