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Analisis Transaksi Pembayaran Tiket Kereta Api (KAI) Dengan Pembayaran Via Bank Menggunakan Metode K-Nearest Neighbors Dan Naïve Bayes Studi kasus PT XYZ Rizki Agustian; Murni Handayani; Abu Khalid Rivai
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

In the digital era, train ticket payment patterns are increasingly complex with the increasing use of bank payment methods. PT XYZ, as a train ticket service provider, faces challenges in understanding customer behavior based on available transaction data. The main problem in this study is how to effectively group customer data based on their transaction characteristics to support service improvement and marketing strategies. This study implements two data mining classification algorithms, namely K-Nearest Neighbors (KNN) and Naïve Bayes, to analyze train ticket payment transaction patterns. Processing is carried out through the RapidMiner application, with an approach based on historical transaction data collected and processed using Microsoft Excel. The research methodology includes the stages of data collection, preprocessing, classification modeling, and model performance evaluation based on accuracy, precision, and recall metrics. The results show that the Naïve Bayes algorithm has superior performance compared to KNN, with an accuracy of 99.10%, a precision of 99.07%, and a recall of 99.14%. This indicates that Naïve Bayes is more effective in classifying customer transaction data. Companies can implement the Naïve Bayes algorithm in internal analytics systems to support data-driven decision-making, particularly in marketing strategies and customer service personalization
Analisis Prediksi Penerima Bantuan Bea Study Menggunakan Algoritma Id3, Naïve Bayes Dan K-Nearest Neighbor (Studi Kasus Pada Lembaga Amil Zakat Rydha) Muhamad Sibli; Taswanda Taryo; Murni Handayani
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

The RYDHA Amil Zakat Institution has not yet implemented a data-driven predictive system to objectively determine B-Best scholarship recipients, leaving the selection process manual and prone to bias. This study aims to compare the performance of ID3, Naïve Bayes, and K-Nearest Neighbors (KNN) algorithms in classifying scholarship eligibility. Primary data were obtained from the 2024 B-Best applicants’ records, including demographic, socio-economic, academic, and supporting documents, while secondary data consisted of selection guidelines and internal reports, collected through interviews, documentation, and observation. Data analysis employed the three algorithms with evaluation using the Confusion Matrix and ROC Curve. The results show that KNN achieved the best performance with 96.3% accuracy, 0.958 AUC, 0.944 F1-score, 0.944 precision, and 0.944 recall, thus recommended as the predictive model to support a more objective and accurate scholarship selection system.
Pengembangan Material Maju Superkonduktor Mg-B dengan Penambahan Graphene Oxide melalui Proses Powder in Sealed Tube Mahendra, Brillian Ardy; Herbirowo, Satrio; Saefuloh, Iman; Handayani, Murni
Jurnal Mesin Nusantara Vol 5 No 1 (2022): Jurnal Mesin Nusantara
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmn.v5i1.17894

Abstract

MgB2 is a high possible superconducting material that can be applied quite practically with the functionalization of Mg-B materials. Material development is carried out by adding carbon, namely Graphene Oxide (GO), which is a single atom layered material. The Powder in Sealed Tube (PIST) method is practically used to reduce oxidation. This study aims to analyze the effect of GO material doped with the PIST method made from MgB2 with a sintering temperature of 800℃ for 2 hours on its superconductivity, compound formation, and microstructure. The manufacturing process is carried out in a 1:2 ratio where 98% purity Mg is mixed with Boron, which is then added with 0, 0.3 and 3% wt GO doping, all ingredients are mixed stoichiometrically. The material that has been put in a tube and compacted sufficiently into SS316L which has been closed on one side to enter the powder, is then compacted with high pressure up to 1000 MPa. The material is sintered at a temperature of 800℃ for 2 hours which is then carried out by cooling in the furnace and taking bulk samples. The XRD results showed the formation of the dominant MgB2 phase and the formation of an impurity phase in the form of MgO and obtained a decent crystal size of 295 which was owned by the 3%wt GO PIST MgB2 sample. The SEM test shows the forms of formation (agglomeration) in each sample, with the presence of several axes. Cryogenic testing shows that with doping there is a movement of critical temperature to a lower direction where MgB2 0%wt GO has a TcOnset value of 39.4 K and a TcZero of 38.7 K, while MgB2 3%wt GO has a TcOnset value of 39.6 K and TcZero of 38 K.
Perbandingan Proses Mineralisasi Karbon dan Nitrogen serta Humifikasi Pada Sistem Pertanian yang Berbeda di Tanah Andisol: Comparison of Carbon and Nitrogen Mineralization Processes and Humification in Different Agricultural Systems in Andisol Soil Fajar Hidayanto; Retno Tri Purnamasari; Sari Widya Utami; Murni Handayani
Acta Solum Vol. 3 No. 3 (2025): Juli 2025
Publisher : Department of Soil, Faculty of Agriculture, Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/actasolum.v3i3.3128

Abstract

The organic farming system has become the choice of most farmers in Indonesia because it has a major impact on agricultural quality and soil fertility. Vegetable farming in Magelang and Semarang Regencies is cultivated on andisol soil which has a relatively high soil fertility level, but farmers still use organic fertilizers to increase the organic matter content of the soil. The organic farming system applies 10 tons ha-1 of cow manure, 20 liters ha-1 of liquid fertilizer, and the return of plant residues at each planting season. The conventional farming system with high organic matter applies 7 tons ha-1 of cow manure, 50 kg ha-1 of urea, 50 kg ha-1 of NPK fertilizer, 15 liters ha-1 of liquid fertilizer, while the conventional farming system with low organic matter applies 3 tons ha-1 of chicken manure, 50 kg ha-1 of ZA fertilizer, 50 kg ha-1 of KCl fertilizer, and 50 kg ha-1 of NPK fertilizer. Observation variables include pH NaF, C-organic, N-total, C/N ratio, humic acid, fulvic acid and humification rate. Data were analyzed for variety and if different, the method of the smallest significant difference test was continued. The results of the study showed that the organic farming system was more effective in increasing carbon and nitrogen in the soil and accelerating humification, so that nutrients were available more quickly. However, the deeper the soil layer, the mineralization and humification processes will decrease because they are greatly influenced by the availability of organic matter.
Co-Authors Abu Khalid Rivai Agus Santoso Ahmad Gunawan Wibisono Al Habib, Irsyad Allam Ramzy Allam Ramzy Anggai, Sajarwo Any Kurniawati, Any Ari Kristiningsih Arrozi , Ubed Sonai Fahruddin Arsita Nur Rizkia Putri Astuti, Wijayanti Dwi Aza Fauziana, Noer Choirunnisa Firdaus Ivana Da, Oh Wen Dawam Agung Pribadi Destiny, Keysi Devain Dewanto, Hizkia Alpha Dwi, Sadina Sahitya Dwityaningsih, Rosita Evila Purwanti Sri Rahayu, Theresia Fadillah Fajar Hidayanto, Fajar Feni Aryanti Fitri Khoerunnisa Hartanto Hesti Rahayuningsih Hizam, Fadli Iasya, Yurin Karunia Apsha Albaina Ipung Saputra Irnanda, Istifhamy Jatmoko Awali Joko Setia Pribadi Kanim Kristiningsih, Ari Latifatul Khusna Lutfi Syafirullah Mahendra, Brillian Ardy Makhsun Makhsun Makhsun Mardiyana Mardiyana Mardiyana Mardiyana Mardiyana Maulana, Romdon Mila Prametha, Novika Moh. Triyana Abbas Mohammad Nurhilal Mohammad Rayhan Afdillah Muhamad Sibli Muji Mulyani Nabila, Najwa Natasya Arifah Natasya Arifah Nuraini Sitepu Nuraini Sitepu Nurhayati, Mita Nurlinda Ayu Triwuri Oto Prasadi putri, raekhanrahmah Putri, Restiani Alia Raekhan Rahmah Putri Rafli Rafli Rafli Rafli Reno Saeprani Retno Tri Purnamasari Rifqi Fakhri Yogi Syafruddin Rizki Agustian Rosita Dwityaningsih Saefuloh, Iman Salma Maulikhatun Zulfa Santika, Ariel Sari Widya Utami Sari Widya Utami Satrio Herbirowo, Satrio Siti Khoirunnisa Slamet Raharjo Slamet Raharjo Sudarno Sudarno Sumardiono, Arif Syadilla Ega Maharani Taswanda Taryo Taswanda Taryo Tukiyat Tukiyat Tukiyat, Tukiyat Ulikaryani Uliyatunisa, Uliyatunisa Waskita, Arya Adhyaksa Widuri Indana Saleha Widuri Indana Saleha Witriansyah, Khoeruddin Yessi Permana Yunita Triana, Yunita Yunus Yunus Zain, Rafi Mahmud Zeni Ulma