Garuda - Garba Rujukan Digital

Peranan Media Sosial sebagai Sarana Komunikasi dan Informasi bagi Anggota Komite RA Al Fariq Novica Irawati; Fauriatun Helmiah; Bela Astuti; Naiyla Wulandari
Jurnal IPTEK Bagi Masyarakat Vol 5 No 1 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i1.1265

Kegiatan Pengabdian kepada Masyarakat ini dilaksanakan dengan tujuan meningkatkan literasi digital serta efektivitas komunikasi dan informasi bagi anggota Komite RA Al Fariq melalui pemanfaatan media sosial. Permasalahan utama yang dihadapi adalah rendahnya pemahaman anggota komite dalam menggunakan media sosial secara tepat, kurangnya tata kelola komunikasi digital, serta keterlambatan penyebaran informasi. Untuk menjawab tantangan tersebut, tim pelaksana mengadakan sosialisasi dan pelatihan penggunaan media sosial, meliputi literasi digital dasar, manajemen grup komunikasi, etika berinteraksi, serta penyusunan Standar Operasional Prosedur (SOP) pemanfaatan media sosial di lingkungan sekolah. Kegiatan diikuti oleh 20 peserta yang terdiri dari guru dan perwakilan komite. Hasil kegiatan menunjukkan peningkatan signifikan pada aspek pengetahuan, keterampilan, dan kesadaran digital, yang dibuktikan dengan kenaikan rata-rata skor post-test lebih dari 50% dibandingkan pre-test. Selain itu, komunikasi internal komite menjadi lebih terstruktur dengan terbentuknya grup WhatsApp resmi sebagai saluran utama koordinasi. Peserta juga mulai memanfaatkan platform lain seperti Facebook dan Instagram untuk memperluas jangkauan informasi sekolah. Kegiatan ini tidak hanya berhasil memperkuat peran media sosial sebagai sarana komunikasi dan informasi, tetapi juga membentuk budaya digital yang lebih bijak, produktif, dan beretika di lingkungan pendidikan anak usia dini.

Pemanfaatan Aplikasi Canva untuk Media Pembelajaran di RA Al-Fariq Fauriatun Helmiah; Masitah Handayani; Havid Syafwan; Pristiyanilicia Putri
Interaksi : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2024): Interaksi - Desember
Publisher : PT. Faaslib Serambi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66341/interaksi.v1i2.65

Kegiatan pengabdian masyarakat di sekolah RA Al-Fariq Desa Sei Silau Timur Kecamatan Buntu Pane Kabupaten Asahan bertujuan untuk mengatasi tantangan yang dihadapi oleh guru-guru PAUD dalam menyediakan media pembelajaran yang interaktif dan efektif. Melalui pelatihan pemanfaatan aplikasi Canva, para guru dilatih untuk menggunakan fitur-fitur desain dalam menciptakan materi pembelajaran yang menarik yang ada pada aplikasi Canva tersebut. Hasil dari kegiatan ini menunjukkan bahwa guru-guru tidak hanya memperoleh keterampilan baru, tetapi juga termotivasi untuk mengembangkan kreativitas mereka, yang diharapkan dapat memberikan dampak positif bagi proses belajar anak-anak. Rekomendasi untuk pelatihan lanjutan termasuk pengembangan pemahaman mendalam tentang Canva dan penggunaan aplikasi lain yang mendukung pembelajaran.

Media Online Store Dengan Penerapan E-CRM Di Susi Bucket And Decoration Dian Kartini; Fauriatun Helmiah; Wan Mariatul Kifti
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3318

The development of digitalization encourages MSMEs to optimize their sales and customer relationship management systems in an integrated manner. Susi Bucket and Decoration still faces obstacles in order management, customer data recording, and market reach limitations due to manual processes. This study aims to design and implement an Electronic Customer Relationship Management (E-CRM)-based Online Store system to improve operational efficiency and customer service quality. The methods used are a descriptive qualitative approach with a Waterfall system development model and testing using the black box method. The results show that the system is capable of centrally integrating transaction and customer data, accelerating the order recording process by an average of ±3 minutes compared to the manual method, and improving customer response effectiveness through chat and structured review features. Additionally, period-based sales reports help business owners systematically evaluate sales trends. The scientific contribution of this research lies in the development of an integrated E-CRM implementation model for creative SMEs that combines digital transactions, customer satisfaction monitoring, and sales analytics in a single integrated platform.

Penerapan K-Means Clustering Kesiapan Siswa SMA Dalam Pemilihan Jurusan Kuliah Rara Revina; Fauriatun Helmiah; Abdul Karim Syahputra
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3323

Choosing a college major is an important decision for high school students because it affects their future academic success and career. However, 12th-grade students at Kisaran Regional High School still struggle to determine a major that aligns with their interests and abilities. This study employs a quantitative approach using data mining methods via the K-Means Clustering algorithm to categorize students’ readiness levels in selecting a college major. Research data were obtained from questionnaires completed by 71 students based on five assessment aspects: interest in the major, alignment with academic performance, career information, environmental support, and personal maturity. The research instrument used a 1–5 Likert scale and was tested for reliability using Cronbach’s Alpha, which yielded a value of 0.87, indicating a good level of consistency. The research stages included data selection, transformation of qualitative data into numerical form, determination of the number of clusters (k=3), random initialization of the initial centroids, and calculation of distances using Euclidean Distance, performed iteratively until convergence was achieved. The results of the study indicate that out of 71 students, 23 students (32.39%) fall into the “very ready” category, 28 students (39.44%) into the “fairly ready” category, and 20 students (28.17%) into the “not yet ready” category regarding college major selection.

Analisis Pengelompokan Desa Berdasarkan Indikator Sosial Ekonomi Menggunakan Metode K-Means Sigit Nugraha; Fauriatun Helmiah; Abdul Karim Syahputra
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3378

This study aims to cluster villages in Rahuning Subdistrict, Asahan Regency, based on socioeconomic indicators to support targeted development planning. The data used covers ten villages with four main criteria that have been normalized into numerical values. The method used is K-Means Clustering with three clusters (K=3). The analysis process includes determining the initial centroids, calculating distances using Euclidean Distance, and iterating until convergence is achieved. The results of the study show the formation of three groups: the high cluster, consisting of Rahuning Village, Rahuning III Village, Perbaungan Village, and Aek Songsongan Village; the medium cluster, consisting of Rahuning I Village, Batu Anam Village, Gunung Melayu Village, and Sei Piring Village; and the low cluster, consisting of Rahuning II Village and Air Batu Village. An evaluation using the Silhouette Score method yielded a value of 0.57, indicating that the quality of the clustering falls into the “fairly good” category with relatively clear separation between clusters. This study contributes a data-driven approach to identifying socioeconomic disparities among village areas, thereby serving as a foundation for local governments to formulate more effective, targeted, and equitable development policies.

Penerapan Data Mining Metode Regresi Liner Berganda Dalam Memprediksi Penjualan Di Toko F3i Kisaran yoga ilham syahputra; Fauriatun Helmiah; Amalia
J-Com (Journal of Computer) Vol. 6 No. 1 (2026): MARET 2026
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v6i1.4469

Abstract: This study is motivated by the underutilization of transaction data at Toko F3I Kisaran in supporting decision-making related to inventory and pricing strategies. Currently, decisions are made conventionally based on experience, which may lead to overstock or stockout conditions. This research aims to develop a sales prediction model by applying Data Mining techniques using the Multiple Linear Regression method to analyze the influence of stock and price variables on sales. The research methodology includes historical data collection, regression analysis, web-based system design using PHP and MySQL, and system testing through the Black Box method. The results indicate that the developed model is capable of generating measurable and systematic sales estimations based on stock and price variables. The implementation of this system can assist store management in planning inventory levels and pricing strategies more efficiently, thereby improving operational effectiveness and business competitiveness. Keywords: data mining; multiple linear regression; PHP; sales prediction; web-based system Abstrak: Penelitian ini dilatarbelakangi oleh belum optimalnya pemanfaatan data transaksi penjualan pada Toko F3I Kisaran dalam mendukung pengambilan keputusan terkait persediaan dan penetapan harga. Selama ini, keputusan masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menimbulkan overstock maupun stockout. Penelitian ini bertujuan untuk membangun model prediksi penjualan dengan menerapkan teknik Data Mining menggunakan metode Regresi Linier Berganda guna menganalisis pengaruh variabel stok dan harga terhadap penjualan. Metodologi penelitian meliputi pengumpulan data historis, analisis perhitungan regresi, perancangan sistem berbasis web menggunakan PHP dan MySQL, serta pengujian sistem dengan metode Black Box. Hasil penelitian menunjukkan bahwa model yang dibangun mampu menghasilkan estimasi penjualan berdasarkan variabel stok dan harga secara lebih terukur dan sistematis. Implementasi sistem ini dapat membantu manajemen toko dalam merencanakan jumlah persediaan dan strategi harga secara lebih efisien, sehingga meningkatkan efektivitas pengelolaan bisnis dan daya saing perusahaan. Kata kunci: data mining; prediksi penjualan; regresi linier berganda; sistem berbasis web; PHP

Workhsop Desain Surat Resmi Secara Profesional di SMK Negeri 1 Setia Janji Andri Nata; Maulana Dwi Sena; Fauriatun Helmiah; Maulana Fikri
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 1 (2026): Januari 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i1.4328

Abstract: This workshop activity aims to improve students' understanding and skills in compiling and designing official letters in accordance with applicable writing rules. The workshop was held at SMK Negeri 1 Setia Janji with participants from various departments. The material presented includes the format of official letters, the language used, and good and correct layout. In its implementation, participants were guided directly using Microsoft Office Word software as the main tool in making official letters. The training method was carried out through material presentation, case studies, and direct practice. The evaluation results showed an increase in students' understanding of the structure of official letters and technical skills in designing letters using Microsoft Word features. This workshop is expected to be a practical provision for students in facing formal administrative needs both in the world of education and the world of work. In addition, this activity also encourages students to be more accustomed to using word processing applications professionally. Keywords: workshop; official letter; SMK; microsoft word. Abstrak: Kegiatan workshop ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa dalam menyusun serta mendesain surat resmi sesuai dengan kaidah penulisan yang berlaku. Workshop dilaksanakan di SMK Negeri 1 Setia Janji dengan melibatkan peserta dari berbagai jurusan. Materi yang disampaikan meliputi format surat resmi, penggunaan bahasa yang tepat, serta tata letak yang baik dan benar. Dalam pelaksanaannya, peserta dibimbing secara langsung menggunakan perangkat lunak Microsoft Office Word sebagai alat utama dalam pembuatan surat resmi. Metode pelatihan dilakukan melalui penyampaian materi, studi kasus, dan praktik langsung. Hasil evaluasi menunjukkan adanya peningkatan pemahaman siswa terhadap struktur surat resmi serta keterampilan teknis dalam mendesain surat menggunakan fitur-fitur Microsoft Word. Workshop ini diharapkan dapat menjadi bekal praktis bagi siswa dalam menghadapi kebutuhan administrasi formal baik di dunia pendidikan maupun dunia kerja. Selain itu, kegiatan ini juga mendorong siswa untuk lebih terbiasa menggunakan aplikasi pengolah kata secara profesional. Kata kunci: workshop; surat resmi; SMK; Microsoft Word.

OPTIMIZATION THE BEST TEACHER SELECTION BASED ON THE COMPOSITE PERFORMANCE INDEX (CPI) AT SMKN 1 SETIA JANJI Andri Nata; Andrew Ramadhani; Fauriatun Helmiah
JURNAL TEKNISI Vol. 5 No. 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v5i1.2612

Abstract: Â Teachers are a key element in the success of education, but the selection of the best teachers at SMKN 1 Setia Janji has so far been subjective. This can lead to less than optimal results and does not reflect teacher performance comprehensively. This study aims to optimize the selection of the best teachers by implementing the Composite Performance Index (CPI) method as an assessment system based on a composite performance index. This method allows the integration of various assessment indicators, such as academic performance, discipline, innovation in teaching, and student responses to teacher teaching methods. This study uses a quantitative approach with data collection through documents, surveys, and interviews. Furthermore, the data is analyzed using the CPI calculation to produce a performance index for each teacher. The results of the study indicate that the CPI method is able to provide more objective, transparent, and accountable results in determining the best teachers. By eliminating subjectivity in the assessment, this method can also increase teacher motivation and strengthen a work culture based on achievement in schools. From the evaluation results, it was found that the CPI not only increases accuracy in the selection of the best teachers, but also provides a fairer and more comprehensive assessment standard. The findings of this study contribute to the development of a more effective teacher performance evaluation system, especially in the SMKN 1 Setia Janji environment.Keyword: best teacher selection; composite performance index (CPI); decision support system.Â Abstrak: Guru merupakan elemen kunci dalam keberhasilan pendidikan, namun pemilihan guru terbaik di SMKN 1 Setia Janji selama ini masih bersifat subjektif. Hal ini dapat menyebabkan hasil yang kurang optimal dan tidak mencerminkan kinerja guru secara komprehensif. Penelitian ini bertujuan untuk mengoptimalkan pemilihan guru terbaik dengan menerapkan metode Composite Performance Index (CPI) sebagai sistem penilaian berbasis indeks kinerja komposit. Metode ini memungkinkan integrasi berbagai indikator penilaian, seperti kinerja akademik, kedisiplinan, inovasi dalam pengajaran, serta tanggapan siswa terhadap metode pengajaran guru. Penelitian ini menggunakan pendekatan kuantitatif dengan pengumpulan data melalui dokumen, survei, dan wawancara. Selanjutnya, data dianalisis menggunakan perhitungan CPI untuk menghasilkan indeks kinerja setiap guru. Hasil penelitian menunjukkan bahwa metode CPI mampu memberikan hasil yang lebih objektif, transparan, dan akuntabel dalam menentukan guru terbaik. Dengan menghilangkan subjektivitas dalam penilaian, metode ini juga dapat meningkatkan motivasi guru dan memperkuat budaya kerja berbasis prestasi di sekolah. Dari hasil evaluasi, ditemukan bahwa CPI tidak hanya meningkatkan akurasi dalam seleksi guru terbaik, tetapi juga memberikan standar penilaian yang lebih adil dan menyeluruh. Temuan penelitian ini berkontribusi dalam pengembangan sistem evaluasi kinerja guru yang lebih efektif, khususnya di lingkungan SMKN 1 Setia JanjiKata kunci: pemilihan guru terbaik; composite performance index (CPI); sistem pendukung keputusan.

PENERAPAN METODE TREND MOMENT UNTUK PERAMALAN STOK OBAT PADA TOKO OBAT BUNDA KELURAHAN SIDODADI Suriyana Devi Pratiwi; Fauriatun Helmiah; Sudarmin Sudarmin
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6453

Bunda Medicine Shop, Sidodadi Village, which is located on Jalan Ir. Sutami, Sidodadi Village, Regency. Asahan is one of the pharmacies that sells types of medicine, namely Paracetamol 500mg, Bufect Ibu-Profen, Sanmol, Sanaflu and Vicks formula 44. When stocking medicines, they still use manual estimates. This can cause excessive stock (over stock) if the medicine does not run out within the estimated time, resulting in losses to the pharmacy if the medicine has reached its expiry date. Apart from causing excess medication or accumulation of medication, pharmacies also don't know about medication shortages or running out of medication stock, resulting in less than optimal service to the public. This can have an impact on the distribution process because it creates uncertainty in carrying out drug transactions and is prone to errors in ordering drugs and uncontrolled drug sales due to inadequate planning. Based on the problems that occur, a forecasting system will be built that will help predict drug stocks based on previous drug sales history. By looking at previous sales it will help in making decisions about future drug supplies so that the drug stock you have is not overstocked or understocked. Therefore, a forecasting system using the Trend Moment Method is needed.

MODEL GROUP DECISION SUPPORT SYSTEM DENGAN MULTI-RESPONDEN DAN MULTI-ATRIBUT DALAM REKOMENDASI BENIH PADI TERBAIK Amalia Amalia; Fauriatun Helmiah; Yogi Abimanyu Permana
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.v8i4.4245

Abstract: As a result, farmers often face various problems such as less than optimal yields due to low grain weight (tonnage) and quality, increased maintenance costs, longer harvest periods, and even the risk of crop failure. The urgency of this research lies in the challenges faced by farmers in Asahan Regency in determining appropriate and superior rice seed varieties. Reliance on trial and error methods in seed selection results in less than optimal harvest results. Based on the above problems, this study aims to develop a decision support model to determine superior rice seed varieties to increase yields. The method used in solving the problem is the Group Decision Support System (GDSS) with a decision support method using Multi-Respondent and Multi-Method. The multi-respondent concept allows collaboration between experts, practitioners, and farmers, and the multi-method concept allows data to be analyzed using various techniques, namely WP, MOORA, MAUT, and Borda.Â Keywords: Group Decision Support System; Multi-Method; Multi-Respondent; Borda; Rice Seeds Abstrak: Akibatnya, seringkali petani menghadapi berbagai masalah seperti hasil panen yang kurang maksimal karena rendahnya bobot (tonase) dan kualitas butir beras, meningkatnya biaya perawatan, masa panen yang lebih lama, dan bahkan risiko gagal panen. Urgensi penelitian ini terletak pada tantangan yang dihadapi oleh petani di Kabupaten Asahan dalam menentukan varietas benih padi yang tepat dan unggul. Ketergantungan pada metode coba-coba dalam pemilihan benih menyebabkan hasil panen yang kurang optimal. Berdasarkan masalah di atas, penelitian ini bertujuan mebangun model pendukung keputusan untuk menentukan varietas benih padi unggul guna meningkatkan hasil panen. Metode yang digunakan dalam penyelesaian masalah yaitu Group Decision Support System (GDSS) dengan metode pendukung keputusan menggunakan Multi Responden dan Multi Metode. Konsep multi responden memungkinkan kolaborasi dari ahli, praktisi dan petani dan konsep multi metode Multi metode meungkinkan data dianalisis dengan beragam teknik yaitu WP, MOORA dan MAUT dan Borda.Kata kunci: Group Decision Support_System;Multi Metode;Multi Responden;Borda; Benih PadiÂ

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