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All Journal WIDYA TEKNIKA Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM TEKNOLOGI INFORMASI Prosiding SNATIKA Vol 01 (2011) International conference on Information Technology and Business (ICITB) SMATIKA JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Conference on Innovation and Application of Science and Technology (CIASTECH) Journal on Education Jurnal Masyarakat Merdeka (JMM) Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal Pendidikan dan Keluarga Buana Information Technology and Computer Sciences (BIT and CS) JATI (Jurnal Mahasiswa Teknik Informatika) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Community Development Journal: Jurnal Pengabdian Masyarakat Among : Jurnal Pengabdian Masyarakat International Journal of Business, Law, and Education JUSTIN (Jurnal Sistem dan Teknologi Informasi) Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) ETAM: Jurnal Pengabdian kepada Masyarakat Prosidia Widya Saintek Jurnal Pengabdian Masyarakat dan Riset Pendidikan JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture Journal of Social Entrepreneurship and Creative Technology
MARIFANI FITRI ARISA
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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PREDIKSI PENJUALAN WARUNG KOPI OI MENGGUNAKAN METODE RANDOM FOREST DAN XGBOOST Marilaeta Nurak, Yulita; Wahyu Iriananda, Syahroni; Marisa, Fitri
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13922

Abstract

Pesatnya perkembangan bisnis kedai kopi mendorong para pemilik usaha untuk lebih cermat dalam mengelola stok bahan baku, guna mengantisipasi permintaan pelanggan. Warung Kopi OI menghadapi kendala dalam pengelolaan persediaan yang selama ini dilakukan secara manual, sering kali menyebabkan pembelian bahan baku yang tidak terencana. Penelitian ini bertujuan untuk memprediksi penjualan menggunakan dua algoritma pembelajaran mesin, yakni Random Forest dan XGBoost. Data yang dianalisis diperoleh dari Kaggle, mencakup transaksi penjualan selama enam bulan. Proses penelitian meliputi pengumpulan data, tahap pra-pengolahan, implementasi algoritma, serta evaluasi model berdasarkan akurasi, RMSE, dan MAPE. Hasil penelitian menunjukkan bahwa penggunaan rasio data latih dan uji sebesar 80:20 memberikan hasil paling optimal dengan akurasi tertinggi, yakni 72%, pada kedua metode. Secara keseluruhan, Random Forest terbukti lebih stabil dibandingkan XGBoost dengan rata-rata akurasi masing-masing 64% dan 62%. Temuan ini menegaskan bahwa pemilihan rasio data yang tepat berpengaruh signifikan terhadap performa model prediksi. Penelitian ini diharapkan dapat memberikan rekomendasi kepada Warung Kopi OI dalam pengelolaan bahan baku secara lebih efisien, sehingga mampu mengurangi kelebihan maupun kekurangan stok.
Socialization of Strengthening the Role of Rural Women in Building Independent Villages and Creating Indonesia EMAS 2045: Pengabdian Nova Ch. Mamuaya; Hajar Mukaromah; Ma’rifani Fitri Arisa; Dahlia; Bambang Amir Alhakim
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.1730

Abstract

The author conducted this community service through a communicative approach with village officials to involve women in various village activities. The villages in question are Kalawiran Village, Minahasa, Bajangrejo Village, Banyuurip, and Simpang Sungai Duren Village, Muaro Jambi. The conclusion in this article show that The author conducted outreach in this community service after obtaining approval from the village apparatus for women to be involved in every village activity. However, women in the village where the author conducted community service did not have high self-confidence and sufficient experience to be involved in rural activities. Based on this, the author conducted outreach to increase women's self-confidence to be involved in rural activities. There are six advantages of women compared to men in general, including the following: 1). Handle stress better. 2). Better at maintaining relationships. 3). Better at communicating. 4). Better at managing finances. 5). More capable of multitasking. 6). Have a sharper memory. These six advantages are important for women to have to improve the quality of village activities and help create independent villages. The creation of independent villages can also lead to the creation of Indonesia GOLD 2045.
Analysis of Restaurant Ordering Patterns Using Apriori Algorithm Marisa, Fitri; Badrussalam, Nanda; Ahmad, Sharifah Sakinah Syed; Vitianingsih, Anik Vega; Maukar, Anastasia L
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 2 (2025): June
Publisher : Lumina Infinity Academy Foundation

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Abstract

This study implements the Apriori algorithm to analyze ordering patterns in home-based restaurants, specifically Dapur Mb Yani. Sales transaction data for three weeks shows that the Geprek Sambal Merah, Geprek Sambal Ijo, and Ayam Crispy menus are the most frequently ordered items, both individually and in combination. The combination of Geprek Sambal Merah, Ayam Crispy, and Es Teh has a high association value, making it a candidate for bundling promotions, while the strong relationship between Geprek Sambal Merah and Geprek Sambal Ijo opens up opportunities for special offers involving both menus. These results help restaurant managers design more effective promotional strategies, manage ingredient stocks efficiently, and improve customer experience. The application of the Apriori algorithm proves its relevance in supporting data-based decisions, especially for small businesses, as well as opening up opportunities for further development in the culinary industry.
Edukasi Kreatif Daur Ulang Botol Plastik sebagai Solusi Estetika Lingkungan Melalui Pembuatan Pot Gantung di Wilayah Dukuh Dayakan, Kulon Progo Agrevinna, Mausa; Novita, Elok; Indadihayati, Warda; Arisa, Ma'rifani Fitri
Abdimas Galuh Vol 7, No 2 (2025): September 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i2.20657

Abstract

Sampah plastik menjadi ancaman serius terhadap kualitas lingkungan, terutama di wilayah pedesaan yang belum terjangkau sistem pengelolaan limbah secara optimal. Dukuh Dayakan di Kabupaten Kulon Progo merupakan salah satu kawasan yang masih menghadapi persoalan limbah botol plastik. Pengabdian masyarakat ini bertujuan memberikan edukasi kreatif kepada warga melalui pelatihan pembuatan pot gantung dari botol plastik bekas sebagai solusi estetika dan fungsional dalam penghijauan lingkungan. Metode pelaksanaan meliputi sosialisasi, demonstrasi teknik, serta pendampingan praktik. Hasil kegiatan menunjukkan peningkatan pengetahuan, keterampilan, dan kesadaran lingkungan masyarakat. Kesimpulan dari kegiatan ini menunjukkan bahwa edukasi berbasis praktik mampu mendorong partisipasi aktif warga dalam pengelolaan sampah serta memperindah lingkungan secara berkelanjutan.
Entrepreneurship: Pembuatan yoghurt berbahan dasar susu fullcream guna diversifikasi olahan pangan menyehatkan Agustina, Rini; Heriyawati, Dwi Fita; Marisa, Fitri; Suprianto, Dodit
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 4 No. 2 (2023)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v4i2.20087

Abstract

Yoghurt sangat bermanfaat karena kandungan probiotiknya yang bermanfaat, yoghurt sering dikaitkan dengan probiotik yang mempunyai efek positif pada kesehatan sistem imun, konsumsi yoghurt pada anak juga dapat dikaitkan dengan pola hidup sehat dan pola makan, selain kaya nutrisi, yogurt merupakan salah satu primadona pengganti makanan ringan dan dapat membantu anak-anak dan remaja mengembangkan perilaku sehat yang meningkatkan keseimbangan energi. Tujuan dari kegiatan ini adalah memberikan pelatihan pembuatan yoghurt dengan bahan sederhana dan dengan harga terjangkau bagi warga desa. Kegiatan ini menggunakan metode PAR (Participatory Action Research) dimana audience diajak langsung terlibat dalam pembuatan yoghurt. Kegiatan pelatihan dan pendampingan pembuatan yoghurt berbahan dasar susu fullcream dilakukan melalui praktek secara langsung, dengan mengikuti langkah-langkah fermentasi hingga proses pemberian pasta dan penyimpanan. Warga terlihat antusias dan bersemangat mengikuti kegiatan pelatihan dari awal hingga akhir kegiatan. Kegiatan ini memberikan manfaat dalam meningkatkan derajat kesehatan warga desa melalui olahan pangan berdasarkan bahan yang mudah didapatkan di sekitar desa. Melalui kegiatan pendampingan pembuatan yoghurt ini, warga dapat memulai bisnis rumahan berupa yoghurt yang tentunya lebih sehat karena diproses dan diolah sendiri tanpa bahan pengawet. Kelanjutan dari kegiatan ini diharapkan BUMDES mampu mendampingi warga untuk mengelola olahan pangan yang dapat menghasilkan income bagi warga, melalui pembuatan yoghurt.
SISTEM PAKAR IDENTIFIKASI PENYAKIT GIGI BERLUBANG MENGGUNAKAN METODE NEURAL NETWORK DENGAN ALGORITMA BACKPROPAGATION jauhar, afif; Istiadi, Istiadi; Marisa, Fitri
Prosidia Widya Saintek Vol. 4 No. 1 (2025)
Publisher : Universitas Widyagama Malang

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Abstract

Penelitian ini bertujuan untuk mengevaluasi performa model Sistem Pakar menggunakan neural network (NN) dalam identifikasi kasus gigi berdasarkan data gejala pasien. Model dilatih menggunakan algoritma backpropagation dengan berbagai skenario pembagian data dan jumlah epoch. Hasil kurva loss menunjukkan bahwa model mampu belajar dengan baik dan mencapai konvergensi pada sekitar epoch ke-150. Evaluasi performa menunjukkan bahwa skenario 70:30 menghasilkan akurasi, recall, dan F1-score terbaik, meskipun presisi relatif lebih rendah dibanding recall. Analisis data gejala pasien memperlihatkan bahwa nyeri parah, perubahan warna gigi (kekuningan dan coklat/hitam), serta sensitivitas terhadap makanan/minuman dingin merupakan keluhan dominan, dengan solusi utama berupa edukasi kesehatan gigi dan pola makan sehat. Confusion matrix sebelum balancing menunjukkan bias kuat terhadap kelas mayoritas (dentin), sehingga model gagal mengenali kelas enamel dan saraf. Oleh karena itu, diperlukan strategi balancing data dan optimasi parameter untuk meningkatkan presisi serta akurasi klasifikasi multi-kelas. Secara keseluruhan, model NN menunjukkan potensi yang baik sebagai sistem pendukung analisis dan diagnosis berbasis data, namun masih memerlukan perbaikan untuk mencapai performa yang lebih andal.
Analysys of Consumer Buying Behavior of Goods and Services Using The Naïve Bayes Method and Clustering Study in The Computer Service Shop Fahmi, Muchammad Alvi Nur; Marisa, Fitri; Conteh, Alusine
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 1 (2024): February
Publisher : Lumina Infinity Academy Foundation

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Abstract

Based on the observation results at Anik Komputer as a company providing computer, printer, and other device services, online sales results have a significant influence on revenue generation. Therefore, it is necessary to know the most significant factors that influence consumers to buy goods and services online. This study aims to identify factors that influence purchasing decisions, evaluate consumer behavior patterns, and propose strategic steps based on web intelligent. The analysis method uses Data Mining with the Naïve Bayes and Clustering algorithms. The results of this study indicate that the factors that influence purchasing decisions at Anik Komputer are price, customer reviews, and stock availability. Customer segmentation based on purchasing patterns through Clustering analysis produces three main segments, namely loyal customers (30% of total customers) who contribute the most to total sales of 40%, price sensitive customers (50% of total customers) who contribute 45% to sales, and new customers (20% of total customers) who contribute 15% to sales. This analysis provides deeper insight into consumer behavior that can be applied in intelligent web-based marketing strategies to increase the effectiveness and efficiency of online sales.
Strategic Recommendations in Increasing Gen Z User Engagement towards Gamification Elements with Fuzzy AHP and Octalysis Approaches Marisa, Fitri; Istiadi, -; Ahmad, Sharifah Sakinah Syed; Handajani, Endah Tri Esti; NoerTjahyana, Agustinus; Maukar, Anastasia L
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3324

Abstract

Generation Z (Gen Z), often referred to as the "digital native" generation, interacts extensively with digital technology and social media. E-commerce companies need to adopt the right strategies, such as gamification, to increase user engagement among Gen Z. However, there is limited research evaluating which gamification elements are most effective in engaging Gen Z users. This study addresses this gap by identifying the most impactful gamification elements that enhance Gen Z user engagement and providing strategic recommendations for e-commerce designers and developers. Using the Fuzzy AHP method and Octalysis approach, this study evaluates five gamification elements: Point, Reward, Referral, Leaderboard, and Level across four key parameters: Motivation, Engagement, User Experience, and Retention. The Fuzzy AHP results indicate that the "Reward" element ranks highest with a score of 1.0, followed by "Level" with a score of 0.829. "Leaderboard" comes in third with a score of 0.669, while "Point" and "Referral" score 0.606 and 0.220, respectively. The low score of "Referral" suggests its limited effectiveness in fostering social connectedness among Gen Z users. The Octalysis analysis reveals that "Reward" has the most significant influence on core drives such as "Development and Accomplishment" and "Scarcity and Impatience," with an average score of 7.25, followed by "Level" with a score of 7.125. These findings underscore the importance of prioritizing "Reward" and "Level" to optimize user engagement for Gen Z. The practical implications of this study suggest that e-commerce platforms should integrate these gamification elements to create more engaging and interactive shopping experiences for Gen Z users, aligning with their preferences and motivations.
Comparison of Machine Learning as an Inference Engine to Improve Expert Systems in Dengue Disease Istiadi, -; Marisa, Fitri; Joegijantoro, Rudy; Suksmawati, Affi Nizar; Rahman, Aviv Yuniar
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3192

Abstract

Dengue disease remains a significant public health challenge in tropical and subtropical regions, with rising incidence and mortality rates over the past few decades. While expert systems have been developed for early detection, traditional approaches often rely on rigid rule-based inference engines, which are limited by their dependence on expert-defined structures and lack adaptability to evolving knowledge sources. This study introduces a novel approach to enhance the flexibility and adaptability of expert systems by integrating machine learning (ML) techniques into the inference engine, leveraging the growing availability of medical record data as a dynamic knowledge source. Using a dataset of 90 medical records, balanced to 126 items via the Synthetic Minority Over-sampling Technique (SMOTE), we evaluated the performance of multiple ML algorithms, including Decision Trees (DT), Support Vector Machines (SVM), and Artificial Neural Networks (ANN), against traditional models like Naive Bayes (NB) and K-Nearest Neighbors (KNN). The DT, SVM, and ANN models demonstrated exceptional performance, achieving average accuracy, precision, recall, and F1 scores of 97.73%, 98.33%, 97.22%, and 97.41%, respectively. The key innovation of this research lies in developing an adaptive inference engine that can dynamically learn from medical data, reducing reliance on static rule bases and enabling the expert system to evolve with new knowledge. This approach improves diagnostic accuracy and provides a scalable and flexible framework for addressing other infectious diseases. By bridging the gap between expert systems and machine learning, this study paves the way for more intelligent, data-driven healthcare solutions with significant implications for public health and disease management.
MENGOPTIMALKAN KETERAMPILAN INDUSTRI 4.0: MEMBERDAYAKAN SISWA SMK MELALUI SOSIALISASI TEKNOLOGI INTERNET OF THINGS UNTUK MENINGKATKAN KEMAMPUAN PELUANG KERJA Muhajir, Ali; Kushariyadi, Kushariyadi; Arisa, Ma’rifani Fitri; Imran, Hamzah Al; Stevani, Margaret
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Volume 5 No. 2 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i2.26331

Abstract

Industri 4.0 merujuk pada revolusi industri terbaru yang melibatkan integrasi teknologi digital, otomatisasi, dan konektivitas data untuk meningkatkan efisiensi, produktivitas, dan inovasi dalam berbagai sektor industri. Konsep Industri 4.0 mencakup penggunaan teknologi canggih seperti Internet of Things (IoT), kecerdasan buatan (AI), analisis data, robotika, dan komunikasi mesin ke mesin (M2M). Dengan cepatnya perkembangan teknologi, beberapa pekerjaan tradisional mungkin berubah atau digantikan oleh otomatisasi. Siswa SMK yang memiliki keterampilan yang sesuai lebih mampu beradaptasi dengan perubahan ini. Fokus utama pengabdian ini Fokus utamanya adalah meningkatkan konektivitas antara peralatan, sistem, dan orang, sehingga memungkinkan pengambilan keputusan yang lebih cepat dan efisien. Tujuan pengabdian ini memberikan wawasan tentang pengalaman kerja akan sangat membantu seorang siswa SMK namun selain itu harus beriringan dengan skill yang sesuai di era Industri 4.0, maka dari itu pelatihan ini sangat menunjang dari segi jangka pendek juga jangka panjang. Metode pelaksanaan melalui virtual zoom dengan pendekatan metode ceramah serta diskusi interaktif. Hasil pelaksanaan pengabdian ini yaitu luaran yang diterima para siswa SMK setelah mengikuti pemaparan materi tingkat kesadaran untuk meningkatkan skill dengan kemampuan peluang kerja Internet of Things (IoT).
Co-Authors Addian Nur Rijal Agustinus Noertjahyana Ahmad, Sharifah Sakinah Syed Akbar, Ismail Ali muhajir, Ali Alifia Nandira Maharani Anastasia Lidya Maukar Andy Hardianto Anik Vega Vitianingsih Anjani, Sofia Puspa Araujo, Aprilio Demetrius De Arie Restu Wardhani Arisanti, Diah Aviv Yuniar Rahman Badrussalam, Nanda Bagas Imadani Putra, Alif Bambang Amir Alhakim Bura, Audyel Umbu Chatarina Umbul Wahyuni Christine Ulina Tarigan Conteh, Alusine Dahlia Denny Bernardus Dewa Oka Suparwata Dini Kristianti, Dini Domingos Sinorio de Araujo, Domingos Dwi Fita Heriyawati Dwi Purnomo Efendi, Dedi Usman Elok Novita Fahmi, Muchammad Alvi Nur Fatmawati, Amelia Firman Hidayat Firman Nurdiyansyah Firman Nurdiyansyah, Firman Hajar Mukaromah Handajani, Endah Tri Esti Handini, Mia Hardiyanto, Andy Haryanto, Kurniawan Wahyu Ika Pranita Siregar Imran, Hamzah Al Indah Dwi Mumpuni Indra Dharma Wijaya, Indra Dharma Istiadi jauhar, afif Judijanto, Loso Khamaludin, Khamaludin KRISTIAWAN KRISTIAWAN Kushariyadi Kushariyadi Ladopurab, Bartolomeus Wadan Larasati, Isbalaikana Luruk, Maria Ovalia Mahmudin Mahmudin, Mahmudin Mardiana Andarwati Margaret Stevani Marilaeta Nurak, Yulita Maukar, Anastasia Maukar, Anastasia L Maukar, Anastasya Lidya Mausa Agrevinna Meidy Diliana Agustin Nahak, Redemtus Neno, Adi nisti, Melita Nova Ch. Mamuaya NURDIANSYAH, FIRMAN Nurfitri, Indah Karminia Pradana, Teguh Pramisela, Intan Yosa Pramudita, Atanasia Purnamasari, Putri Indah Puspitarini, Erri Wahyu Putra, Dimas Rossiawan Hendra Putra, Rangga Pahlevi Putri, Avira Maresa Putri, Chauliyah Fatma Putri, Jessica Ananda Rini Agustina Rivaldiknas Gampar, Philipus Rochmawati, Sofi Nur Rosario, Maria Madalena Do Rudy Joegijantoro, Rudy Salmanarrizqie, Ageng Sidi, Husri Slamet Riyadi, Slamet Riyadi Sofyan Rachma Danni, Muhammad Sufa, Siska Armawati Sufianto, Dani Suksmawati, Affi Nizar Uda, Tonich Ulfah Rahamawati, Ulya Un, Fransiskus Deni Wahyu Iriananda, Syahroni Warda Indadihayati Wardianto, Wardianto Wijaya, Indra Darma Yudi Kristyawan, Yudi