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Determining Product Category Sales Patterns to Maintain Inventory Stability Using the fp-Growth Algorithm Nelisa, Nelisa; Khairunnisa, Khairunnisa; Sari, Ika Yusnita; Rahmi, Elvika; Maulana, Fajar
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 6 No. 02 (2024): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v6i02.681

Abstract

Managing a very large collection of databases requires a method or technique that can convert piles of data into useful information, one of the data that can be processed is sales data. Anoa Mart mini market is one of the mini markets that participates in meeting consumer needs, so a good way of managing goods is needed to meet consumer needs. One of the data that can be processed is sales transactions at Anoa Mart. Mini Market will provide new information to increase sales. This research aims to determine consumer purchasing habits in order to maintain inventory stability. In this research, the data processing used is Anoa Mart Mini Market sales transaction data. Transaction data is processed using the Fp-Growth consortium Data Mining technique with a confidence value of 70% and a minimum support level of 30%. Processing transaction data produces new knowledge in the form of rules for each item. Each item purchased simultaneously constitutes an association rule that is derived from the value of trust and later becomes knowledge for the small market owner. The model resulting from these rules can be used as a reference to maintain inventory stability and increase sales. This method can be used by small markets to convey information more quickly and accurately, so that sales levels increase and are well controlled.
Contribution of implementing K3 aspect to student learning outcomes in class xi PMKR subjects TKR department at SMKN 2 Payakumbuh Afosma, Pinto Pratama; Putra, Dwi Sudarno; Maulana, Fajar
Research in Education and Technology (REGY) Vol. 2 No. 1 (2023): Research in Education and Technology (REGY)
Publisher : PT The Collaboration UVW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62590/regy.v2i1.97

Abstract

This research was a mechanism regarding the Contribution of Implementing Aspects (K3) to student learning outcomes in class XI PMKR Subjects, TKR Department at SMKN 2 Payakumbuh. The application of K3 aspects in vocational high schools has a very big influence on students’ practice learning outcomes, to create maximum learning outcomes, there is an important connection with the application of K3 aspects. This research method was descriptive correlational research which aimed to find out whether there is a relationship between K3 aspects and students’ practical learning outcomes. In addition, to explain the research trial, there is a relationship between the application of occupational safety and health (K3) aspects to students’ vocational learning outcomes. In the trial, several points will be measured later, namely testing the validation of the trial questionnaire and testing the reliability of the questionnaire
Pemberdayaan Masyarakat Desa Mekar Sari Melalui Pemanfaatan Sampah Plastik Menjadi Paving Block Suroyo, Suroyo; Maulana, Fajar; Ilham, Vicky Dixondra; Ramelda, Meliyani; Verawati, Ketut; Purba, Niki Dwi Nastiti; Sirait, Shelvia Sharon; Sihombing, Valencia Helena Andata; Safitri, Salsha; Fitnes, Fitnes; Salosa, Angga Fatrias Myloudri
Nanggroe: Jurnal Pengabdian Cendikia Vol 3, No 6 (2024): September
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13838806

Abstract

The issue of plastic waste in Mekar Sari village has become an increasingly serious environmental concern, as the amount of plastic waste continues to rise alongside changes in lifestyle and consumption patterns of the community. Poorly managed plastic waste can pollute the environment and pose a threat to human health. Therefore, innovative solutions are needed through a program that utilizes plastic waste to create paving blocks. This program aims to reduce the negative impact of plastic waste on the environment and to enhance the skills and knowledge of the community in managing plastic waste, thereby increasing their economic value and well-being. The methods used in this service include observation, socialization, and training in the production of paving blocks from plastic waste for the local community. The results of this program show that the community of Mekar Sari Village has successfully utilized plastic waste, which was previously just garbage, into economically valuable products in the form of paving blocks. In addition, the community has become more aware of the importance of protecting the environment, as seen in their increased participation in various cleanliness and environmental preservation programs.
The Role of Guardian Judges in Resolving Guardian Adhol Conflicts: Process and Outcome Analysis Anne, Chloe; Maulana, Fajar; Aulia, Rizky
Indonesian Journal of Islamic Law Vol. 5 No. 2 (2022): Indonesian Journal of Islamic Law
Publisher : Postgraduate Programme of UIN Kiai Haji Achmad Siddiq Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/ijil.v5i2.2074

Abstract

This research explores the role of guardian judges in resolving guardian adhol conflicts in religious courts, with a focus on analyzing the decision-making process and the outcomes of the intervention. Through a qualitative approach using the case study method, data was collected through in-depth interviews with judges, related parties and community members, as well as direct observation in religious courts and analysis of legal documents. The findings show that the judge's intervention was effective in overcoming the objections of the nasab guardian who were not based on sharia, as well as increasing public trust in the religious courts as an institution that is fair and responsive to the needs of the people. However, a small portion of the community criticized this intervention for its lack of sensitivity to local customs. This research recommends improving a holistic approach that considers the local cultural context without sacrificing the basic principles of Islamic law, as well as developing better communication strategies to explain the legal basis for judges' decisions to the public.
Implementation of a Forward Chaining Expert System in Diagnosing Laptop Damage Sakinah, Putri; Hendra, Yomei; Satria, Budy; Rahman, Zumardi; Maulana, Fajar; Syaputra, Aldo Eko
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.791

Abstract

Laptops have become a primary need for almost everyone, but the damage rate is also high. Manual diagnosis of laptop damage requires special expertise and is prone to errors that can exacerbate damage. The purpose of this study was to develop an expert system based on the forward chaining method to diagnose laptop damage. Data obtained through expert interviews, literature study, and the internet comprised 13 symptoms and five main types of laptop damage. Relate data in tables to form IF-THEN rules of the forward chaining method. The test results on six symptoms indicate that the system can diagnose IC Power damage with 100% accuracy, which is the highest diagnosis. In conclusion, the forward chaining method can diagnose laptop damage based on emerging symptoms.
Pengaruh Platform Jual Beli Online Terhadap Perilaku Konsumen Pada Perawat Rumah Sakit Bhayangkara Setukpa Polri Sikki, Nurhaeni; Indriyani, Devi; Suwartika, Wawat; Maulana, Fajar; Solihin, Khoirul; Suarman, M Dani; Putra, Angga Tri Adi; Kristi, I Sildani
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 1 (2025): JISAMAR (December-February 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i1.1731

Abstract

This study aims to analyze the influence of online shopping platforms on consumer behavior among employees of Rumah Sakit Bhayangkara Setukpa Polri. Using a quantitative approach, data were collected through questionnaires distributed to 100 employees as respondents. Data analysis was conducted using simple linear regression to identify the significant impact of online shopping platforms on purchasing decisions and shopping frequency. The results indicate that the use of online shopping platforms has a positive and significant effect on consumer behavior. These findings are expected to provide insights for hospital management in understanding the consumption trends of their employees.
Penggunaan Game AI (Kahoot) untuk Meningkatkan Literasi Membaca SD Negeri Kalipenten Maulana, Fajar
Jurnal Edutrained : Jurnal Pendidikan dan Pelatihan Vol 8 No 2 (2024): Jurnal Edutrained : Jurnal Pendidikan dan Pelatihan
Publisher : Balai Diklat Keagamaan Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37730/edutrained.v8i2.345

Abstract

Learning media continues to develop along with the development of the times. Therefore, as teachers and educators, they must be able to adjust and learn related to learning media that continues to develop. The use of learning media with the use of modern technology has various types, one of which is kahoot learning media. This research is focused on how to find out the advantages, disadvantages, and impacts used in kahoot game applications. The method used for this sniffing is a quantitative descriptive method that contains a description of the explanation related to the advantages, disadvantages, and impacts used for the kahoot application. The results of the study found that the game has advantages, namely attractiveness, novelty, and reducing boredom. The disadvantage of kahot games is that they do not explore the area of children's reasoning comprehensively, as opposed to the essential construction. From this study, the conclusion is that this learning media has distinctive advantages and disadvantages, teachers must adjust the use of appropriate learning media and plan so that the impact can be appropriate effectively and efficiently
Analgesic Effectiveness of ant Nest Ethanol Extract (Myrmecodia Pendens) on white Mice (Mus Musculus) Maulana, Fajar; Lukman Hardia; Angga Bayu Budiyanto
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 6 No. 4: October 2024
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v6i4.5901

Abstract

Pain is an unpleasant sensation emotionally and subjectively, indicating damaged tissue such as inflammation or a more significant condition. Myalgia, or often known as muscle pain. In Indonesia, the percentage of Myalgia sufferers is around 45-59%. This study applies an experimental method with a pretest-posttest group design. In this study, 25 mice were used which were divided into 5 groups, namely negative control (Na CMC 1%), positive control (mefenamic acid) and 3 groups given a dose of ant nest extract (17.5 mg/kgBW, 35 mg/ kgBW, 70 mg/kgBW). The analgesic effectiveness test used was the hot plate method with the writhing response parameter measured for 3 hours with a measurement interval of every 30 minutes. The results showed that the ethanol extract of ant nests showed positive tannin, alkaloid and flavonoid compounds. Data analysis on the comparison of dose groups showed that the doses of 17.5 mg and 35 mg had a significant value of <0.05 with a dose of 70 mg, in the positive control group had a significant value of >0.05 compared to the 70 mg ant nest extract dose group, which means there is no significant difference between the two. On the contrary, the negative control group showed a significant value of <0.05 compared to all treatment groups, which indicates a significant difference. The conclusion of this study is that the dose of ethanol extract of ant nest 70 mg has good analgesic effectiveness, approaching the effectiveness of the positive control of mefenamic acid.
SISTEM INFORMASI PENGENALAN DAN PENANGGULANGAN NARKOBA BERBASIS MEDIA MULTIMEDIA INTERAKTIF Purnomo, Gigih Attayauban; Maulana, Fajar; Amanah, Farah Sofiatul Nur; Ardi, Ahmad Riau; Aldo, Dasril
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.362

Abstract

Di masa sekarang di mana informasi semakin mudah didapatkan, semestinya kesadaran masyarakat akan bahaya narkoba semakin meningkat, namun data dilapangan tidak memberikan hasil demikian. Masih kerap ditemui pengguna narkoba di masa sekarang. Berdasarkan masalah tersebut dibuatlah penelitian ini dimana bertujuan untuk meningkatkan kesadaran masyarakat akan pentingnya mengetahui apa itu narkoba, efek yang disebabkannya apabila disalah gunakan serta bagaimana cara mencegah penyalahgunaannya. Penelitian ini dilaksanakan dengan mengumpulkan data-data yang mendukung penelitian seperti artikel dan buku, kemudian data-data yang telah didapatkan diatur dan dirangkai sedemikian rupa sehingga pengguna program ini, dapat dengan mudah memahami isi program. Setelah itu, data-data tersebut digunakan untuk membuat media interaktif sehingga dapat menarik perhatian audience. Hasil dari penelitian ini berupa sebuah media interaktif yang berisi informasi tentang narkoba, cara penggunaan narkoba yang benar, serta penanggulangan penyalahgunaan narkoba. Kata kunci : Multimedia, Interaktif, Narkoba
Hoax classification in indonesian language with bidirectional temporal convolutional network architecture Maulana, Fajar; Asih, Tri Sri Noor
Journal of Soft Computing Exploration Vol. 4 No. 1 (2023): March 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i1.116

Abstract

The increasingly massive rate of information dissemination in cyberspace has had several negative impacts, one of which is the increased vulnerability to the spread of hoaxes. Hoax has seven classifications. Classification problems such as hoax classification can be automated using the application of the Deep Learning model. Bidirectional Temporal Convolutional Network (Bi-TCN) is a type of Deep Learning architectural model that is very suitable for text classification cases. Because the architecture uses dilation factors in its feature extraction so it can generate exceptionally large receptive fields and is supported by Bidirectional aggregation to ensure that the model can learn long-term dependencies without storing duplicate context information. The purpose of this study is to evaluate the performance of Bi-TCN architecture combined with pre-trained FastText embedding model for hoax classification in Indonesian and implement the resulting model on website. Based on the research that has been done, the model with Bi-TCN architecture has satisfactory performance with an accuracy score of 92.98% and a loss value that can be reduced to 0.191. Out of a total of 13,673 data tested with this model, only 414 data or in other words around 3% of the total data were incorrect predictions.
Co-Authors A. M. Muslihin Abadi, Mitra Ade Sutedi, Ade Aditya, Surya Rama Afosma, Pinto Pratama Agus Oman Sudrajat Ahmad Afif Aisyah, Heti Aldo Eko Syaputra Alfian, Dimas Risma Aly, Moustafa H Amanah, Farah Sofiatul Nur Angga Bayu Budiyanto Anne, Chloe Anugrah, Pinto Apriana Vinasyiam Ardi, Ahmad Riau Ardiansyah, Fikry Saputro Arisman, Anton Ashim Madani, Muhammad Asih, Tri Sri Noor Asyahri Hadi Nasyuha Aulya, Sofa Tsuroya Aulya Ayun, Aisyah Qurrata Bayu Setiawan Bazzury, Tiara Ardilla Budy Satria Cosmas Samuel Daeli Dasril Aldo Denni M Rajagukguk Devano, Sony Devi Indriyani Dinamella Wahjuningrum Dinar Tri Soelistyowati Dwi Sudarno Putra Edidas , Edidas Efendi, Muhammad Raihan Erawati, Rika Fabanyo, Syahrul H Fabanyo, Syahrul H. Fadhilah, Windi Nur Fakhrurradhi Luthfi Febriyanto, Muhammad Agung Firginia, Rissky Firmansyah, Lukman Fitnes, Fitnes Fitrih, Adhana Nur Gopur, Muhammad Halawa, Luk Juni S Hamsar, Ali Hanan, Muhamad Ilham Handayani, Tri Novi Harahap, Devianti Yunita Hardiansyah, La Ode Harton Arfah Hasan, Nabila Nisa Hasanah, Nisaul Hayati , Nova Hayati, Nova Hendra, Yomei Herian, Akmal Muh Hermansyah, M.fikri Ichsan Achmad Fauzi Ilham, Vicky Dixondra Irwandi Irwandi Irzal Effendi Istifarini, Mita Iswandi, Wiky Asri Iyah Faniyah, Iyah Jaelani, Akmal Abdul Kodir Julia Eka Astarini Julie Ekasari Kamil, Zatnika Insan Khair, Oki Iqbal Khairunisa, Khairunisa Khairunnisa Khairunnisa Kristi, I Sildani Lukman Hardia Lumbanbatu, Maristella J. Malik, Luthfi Abdul Manalu, Mamed Rofendi Manikam, Menur Manurung, Kiki Hariani Masdi, Mohammad Rajib Balhaj Mei Lestari, Mei Mendrofa, Anita Mia Setiawati Mufid, Muhammad Fauzan Muh. Rusdi Muhammad Qomaruddin MUHAMMAD THORIQ Mulyani, Lina Mustopa Mustopa Nasution, Dwiana Arianty Nazar, Danella Austraningsih Puspa Nelisa, Nelisa Ni'ma, Eka Savira Novembli, Meta Silfia Nur Ihsan, Irsyad Ahmad Nurlela Nurlela Nursyafti, Yolana O Liza, Ledya Odang Carman Panjaitan, Muhammad Iqbal Permana, Andre Pratama, Guntur Eka Purba, Niki Dwi Nastiti Purnomo, Gigih Attayauban Putra, Angga Tri Adi Putra, Meiyaldi Eka Rahmad Mulia, Jefri Rahman, Zumardi Rahmi, Elvika Rajagukguk, Denni M. Ramadhan, Fahri Ramelda, Meliyani Relifra, Relifra Rizky Aulia Rizky, Ramanda Rosarina, Risa Sadiah, Rapiah Safitri, Salsha Safrizal Safrizal SAKINAH, PUTRI Salosa, Angga Fatrias Myloudri Sari, Ika Yusnita Sean Marta Efastri, Sean Marta Sholihin, Hidayatush Siddik Karo-Karo Sihombing, Marjones H.H. Sihombing, Marjones Hardy H Sihombing, Monang JT Sihombing, Valencia Helena Andata Sikki, Nurhaeni Sirait, Shelvia Sharon Siregar, Achmad Zulfikar Siregar, Khoirotun Nisa Sitanggang , Alfina Tiurmida Solihin, Khoirul Suarman, M Dani Suroyo Suroyo Suwartika, Wawat Syafriani, Oza Teguh Irawan Thoriq, Muhammad Tunazzila, Nurhikmah UA, A. Nur Achsanuddin Ustafiano, Binta Ustafiano, Bintha Verawati, Ketut Wahyuni, Cica Wakhinuddin Wakhinuddin, Wakhinuddin Wendra, Yumai Wibowo, Kesit Tisna Wida Fadhlia WIDANARNI WIDANARNI Wiguna, Ardiansyah Pratama Wildan Nurussalam YANTO Yofhanda Septi Eirlangga Yogi Yunefri, Yogi Yunus, Heri Setiawan Zahrahaq, Efica Zahran, Fernuzuar Faiz Zairin Jr., Muhammad Zubaidah Zulbaidah Zulbaidah, Zulbaidah