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All Journal CARADDE: Jurnal Pengabdian Kepada Masyarakat IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL PIONIR Community Development Journal: Jurnal Pengabdian Masyarakat IJISTECH JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) Review of Multidisciplinary Education, Culture and Pedagogy (ROMEO) Jurnal Riset Pendidikan dan Pengajaran (JRPP) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Apdillah, Dicky
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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SOSIALISASI HUKUM PEMASARAN PRODUK MAKANAN HASIL UMKM MELALUI DIGITAL Ismail, Ismail; Bahmid, Bahmid; Apdillah, Dicky; Siagian, Zairul Abdi; Simanjuntak, Cici Rahma Alia; Sirait, Deviana Dewi; Nadapdap, Nadila Br
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.35933

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk memberikan pemahaman kepada pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) tentang regulasi hukum yang harus dipenuhi dalam memasarkan produk makanan secara digital. Dilaksanakan di Desa Banjar, Kabupaten Asahan, kegiatan ini melibatkan sosialisasi hukum mengenai pentingnya izin edar, keamanan pangan, dan perlindungan konsumen dalam pemasaran produk makanan melalui platform digital. Tim memberikan penyuluhan mengenai berbagai sertifikasi dan izin yang diperlukan, seperti Nomor Induk Berusaha (NIB), Sertifikat Produksi Industri Rumah Tangga (P-IRT), dan sertifikasi halal. Hasil dari kegiatan ini menunjukkan bahwa pelaku UMKM di Desa Banjar memiliki minat yang besar untuk memanfaatkan teknologi digital namun masih membutuhkan pendampingan dalam mematuhi regulasi hukum yang berlaku. Diharapkan melalui kegiatan ini, UMKM dapat memasarkan produk mereka dengan lebih legal, aman, dan kompetitif di pasar digital.
PENERAPAN FUZZY C MEANS MEMPREDIKSI KEUNTUNGAN DAN PAJAK CUKAI PENJUALAN ROKOK BERDASARKAN KELOMPOK PENGGUNA ROKOK DAN TEMBAKAU Rizkika, Tia; Apdillah, Dicky
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4816

Abstract

Abstract: The cigarette industry is a sector that contributes significantly to state revenue through taxes and excise. This study aims to apply the Fuzzy C-Means method to cluster cigarette consumption and sales data to predict potential sales profits and projected excise revenues. The data used is secondary data obtained from the Central Statistics Agency (BPS) and the Ministry of Finance. The research process includes data collection, pre-processing, analysis using the Fuzzy C-Means algorithm, and implementation of a web-based system using PHP and MySQL. The results show that the Fuzzy C-Means method is capable of grouping cigarette consumption data into several clusters, such as "very profitable," "quite profitable," and "less profitable." This model can assist industry and government players in formulating pricing strategies, excise policies, and production planning based on more accurate data.Keywords: Fuzzy C-Means, Clustering, Profit Prediction, Data Mining, PHP, MySQL.Abstrak: Industri rokok merupakan salah satu sektor yang memberikan kontribusi besar terhadap penerimaan negara melalui pajak dan cukai. Penelitian ini bertujuan untuk menerapkan metode Fuzzy C-Means dalam melakukan pengelompokan (clustering) terhadap data konsumsi dan penjualan rokok guna memprediksi potensi keuntungan penjualan serta proyeksi penerimaan cukai. Data yang digunakan merupakan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS) dan Kementerian Keuangan. Proses penelitian meliputi tahapan pengumpulan data, pra-pemrosesan, analisis dengan algoritma Fuzzy C-Means, serta implementasi sistem berbasis web menggunakan PHP dan MySQL. Hasil penelitian menunjukkan bahwa metode Fuzzy C-Means mampu mengelompokkan data konsumsi rokok menjadi beberapa klaster, seperti kelompok sangat menguntungkan, cukup menguntungkan, dan kurang menguntungkan. Model ini dapat membantu pelaku industri dan pemerintah dalam merumuskan strategi penetapan harga, kebijakan cukai, serta perencanaan produksi berbasis data yang lebih akurat.Kata Kunci: Fuzzy C-Means, Clustering, Prediksi Keuntungan, Data Mining, PHP, MySQL.
ANALISIS POLA PENENTUAN LOKASI PEMBANGUNAN PROPERTI MENGGUNAKAN ALGORITMA APRIORI Kurniawan, Alwi; Apdillah, Dicky
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4711

Abstract

Abstract: This study implements the Apriori algorithm to analyze patterns in property development location selection based on six key attributes: location, soil type, property type, land area, distance to city center, and surrounding facilities. Using a dataset of 100 property records with minimum support of 10%, confidence of 60%, and lift greater than 1.2, the analysis successfully identified significant association rules between land characteristics and suitable property types. The research developed a web-based recommendation system integrating Python for data mining analysis and PHP-mysql for the user interface. Validation results demonstrate that rules such as "large land area and moderate distance to city center → apartment" achieved support of 13%, confidence of 61.9%, and lift of 1.82, proving the system's effectiveness. Manual validation confirmed consistency between theoretical calculations and system outputs, with processing time under 5 seconds for 100 records. The system successfully filtered invalid rules, such as those with support below 10% or lift less than 1.2, demonstrating robust rule generation mechanisms. This system serves as a practical decision support tool for property developers in determining optimal property types based on specific location characteristics and environmental conditions. Keyword: apriori algorithm; property development; association rules; data mining; decision support system Abstrak: Penelitian ini mengimplementasikan algoritma Apriori untuk menganalisis pola penentuan lokasi pembangunan properti berdasarkan enam atribut kunci yaitu lokasi, jenis tanah, jenis properti, luas tanah, jarak ke pusat kota, dan fasilitas sekitar. Menggunakan dataset 100 data properti dengan parameter minimum support 10%, confidence 60%, dan lift lebih besar dari 1,2, analisis berhasil mengidentifikasi aturan asosiasi signifikan antara karakteristik lahan dengan jenis properti yang sesuai. Penelitian menghasilkan sistem rekomendasi berbasis web yang mengintegrasikan Python untuk analisis data mining dan PHP-mysql untuk antarmuka pengguna. Hasil validasi menunjukkan aturan seperti "luas tanah besar dan jarak ke pusat kota sedang → apartemen" mencapai support 13%, confidence 61,9%, dan lift 1,82, membuktikan efektivitas sistem. Validasi manual mengonfirmasi konsistensi antara perhitungan teoretis dengan output sistem, dengan waktu pemrosesan di bawah 5 detik untuk 100 data. Sistem berhasil menyaring aturan tidak valid seperti yang memiliki support di bawah 10% atau lift kurang dari 1,2, menunjukkan mekanisme pembangkitan aturan yang robust. Sistem ini dapat menjadi alat bantu pengambilan keputusan praktis bagi pengembang properti dalam menentukan jenis properti optimal berdasarkan karakteristik lokasi dan kondisi lingkungan tertentu. Kata kunci: algoritma apriori; pembangunan properti; aturan asosiasi; data mining; sistem pendukung keputusan.
ANALISIS POLA PENYAKIT BERDASARKAN DATA PASIEN DI UPT PUSKESMAS TANJUNG TIRAM MENGGUNAKAN ALGORITMA APRIORI Ndraha, Riski Perdamaian; Apdillah, Dicky
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4884

Abstract

Abstract: This study discusses the application of the Apriori algorithm to analyze the pattern of relationships between diseases in patient medical record data at UPT Puskesmas Tanjung Tiram. Medical records serve as an important source of information to support medical decision-making, particularly in identifying diseases that frequently occur together. This study utilized 365 outpatient medical record data, which were processed using Python and integrated with PHP as a web-based interface. The parameters used in the Apriori algorithm include a minimum support of 10%, a minimum confidence of 50%, and a minimum lift of 1.2. The results of the analysis revealed four significant disease patterns, namely hypertension ? fever, acute respiratory infection (ARI) ? fever, gout ? fever, and cholesterol ? fever, indicating strong associations among these diseases. The developed system can display analytical results quickly, accurately, and interactively, making it useful in supporting diagnosis processes and medical decision-making at healthcare centers. This research is expected to contribute to the utilization of data mining for disease pattern analysis and the development of web-based health recommendation systems.Keyword: apriori algorithm, data mining, PHP, python, disease patterns, medical recordsAbstrak: Penelitian ini membahas penerapan algoritma Apriori untuk menganalisis pola keterkaitan antar penyakit pada data rekam medis pasien di UPT Puskesmas Tanjung Tiram. Data rekam medis merupakan sumber informasi penting dalam mendukung pengambilan keputusan medis, terutama untuk mengidentifikasi penyakit yang sering muncul secara bersamaan. Penelitian ini menggunakan 365 data rekam medis pasien rawat jalan yang diolah dengan bantuan Python dan diintegrasikan dengan PHP sebagai antarmuka web. Parameter yang digunakan pada algoritma Apriori meliputi minimum support sebesar 10%, minimum confidence sebesar 50%, dan minimum lift sebesar 1.2. Hasil analisis menunjukkan terdapat empat pola penyakit signifikan, yaitu hipertensi ? demam, ISPA ? demam, asam urat ? demam, dan kolesterol ? demam, dengan tingkat keterkaitan yang kuat. Sistem yang dibangun mampu menampilkan hasil analisis secara cepat, akurat, dan interaktif, sehingga dapat dimanfaatkan untuk mendukung proses diagnosis dan pengambilan keputusan medis di lingkungan Puskesmas. Penelitian ini diharapkan memberikan kontribusi dalam pemanfaatan data mining untuk analisis pola penyakit serta pengembangan sistem rekomendasi kesehatan berbasis web.Kata kunci: algoritma apriori, data mining, PHP, python, pola penyakit, rekam medis
SOSIALISASI PENGURUSAN SERTIFIKAT HALAL PRODUK UMKM DESA BANDAR PASIR MANDOGE Irwansyah, Bambang; Apdillah, Dicky; Harmayani, Harmayani; Dea, Emi; Azhari, Dea Tiara; Hafiz, Utami Wardah; Nabila, Nabila
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5443

Abstract

Abstract: Micro, Small, and Medium Enterprises (MSMEs) play an important role in improving the rural economy, including in Bandar Pasir Mandoge Village. Most MSMEs in this village are engaged in the food and beverage processing sector; however, many of them do not yet possess halal certification. The low level of halal certification ownership is caused by limited understanding of MSME actors regarding the importance of halal certification, the application procedures, and the benefits obtained after certification. This socialization activity on halal certification aims to increase the knowledge and awareness of MSME actors regarding the importance of halal product assurance, the certification process, and its impact on consumer trust and product competitiveness. The methods used in this activity include material presentation, discussions, and direct question-and-answer sessions with MSME actors. The results indicate an improvement in participants’ understanding of halal certification and an increased motivation to apply for halal certification for their products. This activity is expected to encourage sustainable development of MSMEs in Bandar Pasir Mandoge Village and enhance their competitiveness in broader markets. Keywords: MSMEs, Halal Certification, Socialization, Bandar Pasir Mandoge Village. Abstrak: Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam meningkatkan perekonomian masyarakat desa, termasuk di Desa Bandar Pasir Mandoge. Sebagian besar UMKM di desa ini bergerak di bidang makanan dan minuman olahan, namun masih banyak yang belum memiliki sertifikat halal. Rendahnya kepemilikan sertifikat halal disebabkan oleh kurangnya pemahaman pelaku UMKM mengenai pentingnya sertifikasi halal, prosedur pengurusan, serta manfaat yang diperoleh setelah sertifikat halal dimiliki. Kegiatan sosialisasi pengurusan sertifikat halal ini bertujuan untuk meningkatkan pengetahuan dan kesadaran pelaku UMKM mengenai pentingnya jaminan halal produk, alur pendaftaran sertifikasi halal, serta dampaknya terhadap peningkatan kepercayaan konsumen dan daya saing produk. Metode pelaksanaan kegiatan meliputi penyampaian materi, diskusi, dan tanya jawab secara langsung dengan pelaku UMKM. Hasil dari kegiatan ini menunjukkan adanya peningkatan pemahaman pelaku UMKM terkait sertifikasi halal serta munculnya motivasi untuk mengurus sertifikat halal bagi produk yang dihasilkan. Kegiatan sosialisasi ini diharapkan dapat mendorong UMKM di Desa Bandar Pasir Mandoge untuk berkembang secara berkelanjutan dan mampu bersaing di pasar yang lebih luas.. Kata kunci: UMKM, Sertifikat Halal, Sosialisasi, Desa Bandar Pasir Mandoge. 
TINGKAT KEBERHASILAN UMKM DESA BERDASARKAN MODAL DAN STRATEGI PEMASARAN DENGAN NAÏVE BAYES Utama, Putra Bagus; Apdillah, Dicky
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5749

Abstract

Abstract: This study aims to classify the success level of village MSMEs based on capital and marketing strategies using the Naive Bayes algorithm. Micro, Small, and Medium Enterprises often face challenges such as limited capital and ineffective marketing strategies, which may hinder business performance. In this research, MSME data were collected through questionnaires covering variables such as initial capital, capital source, type of marketing strategy, promotional media, and business duration. The data were then processed and analyzed using the Naive Bayes method to predict MSME success levels categorized as high, medium, and low. The results indicate that the Naive Bayes model provides good prediction accuracy and is able to identify the most influential variables affecting MSME success. This study is expected to serve as a reference for MSME practitioners and local governments in designing more effective and targeted business development strategies. Keywords: MSMEs, capital, marketing strategy, classification, Naive Bayes Abstrak: Penelitian ini bertujuan untuk mengklasifikasikan tingkat keberhasilan UMKM desa berdasarkan modal dan strategi pemasaran menggunakan algoritma Naive Bayes. Permasalahan utama yang sering dihadapi UMKM adalah keterbatasan modal serta pemilihan strategi pemasaran yang kurang efektif, sehingga berdampak pada rendahnya tingkat keberhasilan usaha. Dalam penelitian ini, data UMKM dikumpulkan melalui kuesioner yang mencakup variabel modal awal, sumber modal, bentuk strategi pemasaran, media promosi, dan lama usaha. Data tersebut kemudian diolah dan dianalisis menggunakan metode Naive Bayes untuk memprediksi tingkat keberhasilan UMKM yang dikategorikan menjadi tinggi, sedang, dan rendah. Hasil penelitian menunjukkan bahwa model Naive Bayes mampu memberikan akurasi prediksi yang baik serta mengidentifikasi variabel yang paling berpengaruh terhadap keberhasilan UMKM. Penelitian ini diharapkan dapat menjadi acuan bagi pelaku UMKM maupun pemerintah desa dalam merancang strategi pengembangan usaha yang lebih efektif dan tepat sasaran. Kata Kunci : UMKM, modal, strategi pemasaran, klasifikasi, Naive Bayes
PERILAKU MASYARAKAT DALAM MENGGUNAKAN MEDIA DIGITAL DI MASA PANDEMI Apdillah, Dicky; Deri, Afif; Wijaya, Chandra Ridho; Sitorus, Muhammad Aldi Prayuda
JURNAL RISET PENDIDIKAN DAN PENGAJARAN Vol. 1 No. 2 (2022): JULY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jrpp.v1i2.216

Abstract

Indonesia is one of the countries affected by the Covid-19 outbreak. PolicyThe government regarding Large-Scale Social Restrictions (PSBB) has an impact on various sectors in Indonesia, be it the economic, entertainment, religious and education sectors. The need for understanding the use of digital media in the community will determine the mindset of the community in dealing with this pandemic. Educational activities that were stopped during the pandemic have been transformed into online learning by utilizing digital media. Ease of accessing all information through several applications in gadgets in people's lives, but not all people take advantage of these opportunities positively. The purpose of this study was to determine people's behavior in using digital media during the Covid-19 pandemic. The research method used is a literature review method based on literature exploration from the results of previous studies. These literatures are in the form of books, survey results, online media, and national research articles. The results of the study revealed that there were major changes in people's behavior in several aspects. The changes come from their own initiative as well as an appeal or order from the competent authority. In addition, the pandemic period affects people's mental and psychological health. Media has always been a social institution, during this pandemic, learning can be carried out using various platforms, both in the form of a learning management system and in the form of video conferencing so that parents and teachers are required to have digital literacy skills. The conclusion of the study is that the use of digital media greatly influences people's behavior, besides the ability to use digital media is needed by the community as a digital literacy effort during the Covid-19 pandemic.
Co-Authors Adila, Lica Al Ayyub, Muhammad Azwar Ayyub, Muhammad Azwar Al Azhari, Dea Tiara Azmi, Chairanda Al Azura, Putri Dea, Emi Deri, Afif Elza Ms, Muhammad Fadli Emiel Salim Siregar Febriani, Arisa Febriansyah, Muhammad Reza Hafiz, Utami Wardah Harahap, Himmatul Ummi Harmayani Harmika, Zuwairiah Irwansyah Irwansyah Irwansyah, Bambang Ismail Ismail Kurniawan, Alwi Lubis, Lili Kahirina Azhari Lubis, Lili Khairani Azhari Mangunsong, Juliana Manik, Susih Gajah Marpaung, Mairani Marpaung, Samsul Komar Nabila, Nabila Nadapdap, Nadila Br Nadeak, Bill Yansen Napitupulu, Celly Naomi Sarah Br Ndraha, Riski Perdamaian Nur Isnaini, Nur Oktaviana Nirmala Purba Panjaitan, Bahmid Panjaitan, Khairunnisak R, M. Syaiful Zuhri Rahmadani, Desy Rahmat Rahmat Rianda, Kiki Rizki Rizkika, Tia Sahera, Miri Salam, Agus Saragih, Sri Rahmah Dewi Shintia, Sindi Siagian, Angela Ekklesia Siagian, Zairul Abdi Sihombing, M Hafiz Nurhasan Simanjuntak, Angelina Deasyta Simanjuntak, Cici Rahma Alia Sirait, Deviana Dewi Sitorus, Arwan Pradoki Sitorus, Muhammad Aldi Prayuda Stefanny, Nandika Tiara Puteri Suganda, Sheva Febrian Sukmawati, Nirwana Surbakti, Febby Andriana Syahrunsyah, Syahrunsyah Syapiq, Mirza Tania, Ira Utama, Putra Bagus Wijaya, Chandra Ridho Yuwanda, Yuwanda