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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Info Abdi Cendekia Kohesi: Jurnal Sains dan Teknologi Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat International Journal of Applied Mathematics and Computing.
Dita Safira
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Health Professions Library & Information Science Mathematics Public Health Social Sciences Other

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Pola Hidup Sehat Selama Pandemi Covid-19 Pada kader PKK di Ciseeng Kabupaten Bogor Diniwati Mukhtar; Linda Weni; Wan Nedra; M Arsyad; Yulia Suciati; Dita Safira
Info Abdi Cendekia Vol 3 No 2: Desember 2020
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.186 KB) | DOI: 10.33476/iac.v3i2.38

Abstract

Changes in lifestyle and modernization have caused a shift in the pattern of diseases from communicable to non-communicable diseases (NCD). The NCD category includes diabetes, hypertension, obesity, coronary heart disease. Non-communicable diseases are a challenge during the Covid-19 pandemic because they are comorbid, which will aggravate the disease. Therefore it is necessary to educate on a healthy lifestyle to avoid these new infectious diseases. The method was carried out through webinars with the topic of an active lifestyle, teachings on faith and introduction to herbs to PKK cadres (Family Welfare Empowerment – FWE) in Ciseeng village. The metabolic health characteristics have normal values of 0%, 26%, 100%, 74% for waist circumference (WC), body mass index (BMI), systolic and diastolic blood pressure, respectively. Knowledge of healthy lifestyle from the webinar increased from 51.30% to 85.96% (p <0.05). The conclusion is that the metabolic health of respondents is considered at risk, while webinar activities reduce the risk of comorbidities.
IMPLEMENTASI SISTEM PENGADUN MASYARAKAT BERBASIS WEB PADA LINGKUNGAN RT.006 CENGKARENG BARAT Veri Arinal; Fiktor Kurnia; Dita Safira; Nurul Khoiriyah; Prakoso Angga I
Kohesi: Jurnal Sains dan Teknologi Vol. 2 No. 10 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v2i10.2656

Abstract

Sistem pengaduan masyarakat di Kota Jakarta Barat saaat ini masih dilakukan secara manual melalui mulut ke mulut, surat dan kotak saran. Sistem pengaduan secara manual ini juga menimbulkan kebingungan bagi masyarakat setempat terhadap sistem pengaduan yang dibuat oleh pejabat yang berwenang. Sistem pengaduan secara manual dapat menimbulkan kehilangan dan kerusakan data pengaduan masyarakat. Melihat keadaan tersebut, adanya sebuah sistem yang dapat membantu mempersingkat waktu bagi masyarakat untuk melakukan laporan ke kelurahan/kecamatan akan sangat membantu. Apabila proses pelaporan dapat dilakukan secara online, maka pelanggaran yang terjadi jelas dapat ditindak dengan lebih cepat. Masyarakat pun tidak perlu repot-repot mendatangi tempat pelaporan secara langsung, apalagi jika tempat tinggal mereka berjarak jauh dari tempat pelaporan.
Pemanfaatan Botol Bekas Sebagai Media Penyiraman Secara Otomatis Pada Tanaman Sayuran Dita Safira; Fadiyah Aprilia; Anisa Gustia Ningsih; Fatimah Fatimah
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 2 No. 5 (2024): September : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v2i5.1049

Abstract

This study aims to explain the use of used bottles as a medium for automatic plant watering. In addition, this study also provides education to the community so that they can use used bottles at home as a medium for automatic plant watering. This activity also has a positive impact on environmental sustainability. This study uses the Classroom Action Research (CAR) research method. The results of this study are that the people of Mekar Baru village, Sei Balai sub-district, Batubara Regency are interested and show high interest in the use of used bottles as a medium for automatic watering of vegetable plants. The results of the activity can also maintain environmental sustainability by not littering.
Prediction of Credit Sales Value with the Naive Bayes Algorithm on Sujase Cell Jakarta Veri Arinal; Untung Surapati; Sugiyono Sugiyono; Dita Safira
International Journal of Applied Mathematics and Computing Vol. 1 No. 3 (2024): July : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i3.110

Abstract

Background: The rapid growth of mobile phone usage has significantly increased the demand for prepaid credit services (mobile airtime), creating large volumes of transaction data that require effective analysis for business decision-making. Sujase Cell, a mobile credit retailer in Jakarta, faces challenges in predicting future sales performance and customer purchasing interest due to the accumulation of transaction records over time and the limitations of manual analysis. Objective: This study aims to identify customer purchasing interest and predict mobile credit sales values by implementing the Naive Bayes algorithm as a data mining approach to support sales forecasting and business development strategies. Methods: The research employed a quantitative predictive approach using a private dataset obtained from Sujase Cell. Data collection was conducted through observation and literature review. The dataset consisted of historical mobile credit sales transactions and sales balance records collected during the study period. The data underwent preprocessing stages, including normalization using the Min-Max Scaler technique, followed by data partitioning into training and testing datasets. The Naive Bayes classification method was then applied to analyze sales patterns and generate predictions. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and confusion matrix-based assessment metrics. Several experimental scenarios involving different training-testing ratios and parameter configurations were conducted to determine the most effective predictive model. Results: The findings indicate that the Naive Bayes method successfully identified sales trends and customer purchasing behavior patterns. The best-performing model was obtained using a 90% training dataset and 10% testing dataset, resulting in the lowest prediction error. Experimental results demonstrated that the generated prediction model was capable of following actual sales patterns and producing reliable forecasting outcomes. The implementation of Naive Bayes provides valuable support for sales planning, inventory management, and marketing decision-making at Sujase Cell, enabling the business to improve operational efficiency and anticipate future market demand more effectively.
SISTEM DATA MINING PENGELOLAAN TRANSAKSI PENJUALAN PULSA PADA SUJASE CELL JAKARTA BARAT Veri Arinal; Dita Safira
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3184

Abstract

Abstract: Sujase Cell is a store that is engaged in Credit and Quota and has sales transaction data in it, one of which is the Sujase Cell shop owner who wants to know the Pattern of Product Combination 1 with another to increase revenue in the shop. The problems faced by the current Sujase Cell owner are the owner. confused in processing data and unable to know the pattern of product combination with one another means knowing the buyer bought the second product after buying the first product, therefore the data is processed using data mining techniques, one of the methods is the association method with a priori algorithm, data collection techniques used in this research is the observation of this research using the existing association method in the data. The results of this study were carried out using Weka software with a minimum support value of 0.10 (10%) and a confidence value of 1 (100%) rules obtained from the support and confidence values, namely 10 association rules. The association's rules result in the highest confidence value of 100% when purchasing Indosat Pulse 25 thousand, Simpati Credit 50 thousand, Indosat Sms Credit 5 thousand then buying simultaneously. Testing the system of weka in data mining with association rules can find itemset combination patterns from the sales of Pulse and Quota products at Sujase Cell, so that information is obtained that is useful in increasing sales and can process stock inventory of Pulse and Quota products properly. Keywords: Apriori Algorithm, Data Mining, Sales Transaction, Sujase Cell Abstrak: Sujase Cell adalah sebuah toko yang bergerak dibidang Pulsa dan Kuota dan didalamnya mempunyai data transaksi penjualan salah satunya pemilik toko Sujase Cell ingin mengetahui Pola Kombinasi Produk 1 dengan yang lainnya guna meningkatkan pendapatan di toko tersebut permasalahan yang dihadapi oleh pemilik Sujase Cell saat ini yaitu si pemilik bingung dalam mengolah data dan tidak bisa mengetahui pola Kombinasi produk satu dengan lainnya maksudnya mengetahui pembeli membeli produk kedua setelah membeli produk pertama oleh karena itu di olah lah data tersebut dengan menggunakan teknik data mining salah satu metodenya dengan metode asosiasi dengan algoritma apriori teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi penelitian ini menggunakan metode asosiasi yang ada di data. Hasil dari penelitian tersebut dilakukan dengan menggunakan software Weka dengan nilai minimum support 0,10 (10%) dan nilai confidence 1 (100%) aturan yang diperoleh dari nilai support dan confidence yaitu 10 aturan asosiasi. Aturan asosiasi tersebut menghasilkan nilai confidence tertinngi 100% pada pembelian Pulsa Indosat 25 ribu, Pulsa Simpati 50 ribu, Pulsa Sms Indosat 5 ribu maka akan membeli secara bersamaan. Pengujian sistem dari weka tersebut pada data mining dengan aturan asosiasi dapat menemukan pola kombinasi itemset dari hasil penjualan produk Pulsa dan Kuota di Sujase Cell, sehingga diperoleh informasi yang bermanfaat dalam meningkatkan penjualan dan dapat mengolah persediaan stok produk Pulsa dan Kuota dengan baik. Kata kunci: Algoritma Apriori, Data Mining, Transaksi Penjualan, Sujase Cell  
Co-Authors Anisa Gustia Ningsih Arinal, Veri Diniwati Mukhtar Fadiyah Aprilia FATIMAH FATIMAH Fiktor Kurnia Linda Weni M Arsyad Nurul Khoiriyah Prakoso Angga I Sugiyono Sugiyono Untung Surapati Wan Nedra Yulia Suciati