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Sistem Pendukung Keputusan Pemilihan Hotel Di Kabupaten Asahan Menggunakan Metode Electre Hutahean, Jeperson; Mulyani, Neni
Jurnal Teknologi Ilmu Komputer Vol. 3 No. 1: Desember 2024
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jtik.v3i1.356

Abstract

Pemilihan hotel yang tepat sering kali menjadi tantangan bagi calon tamu karena variasi kualitas dan fasilitas di antara hotel-hotel dengan rating serupa. Meskipun hotel-hotel tersebut berada dalam kategori yang sama, standar dan layanan yang ditawarkan bisa sangat bervariasi, yang membuat calon tamu sulit memilih hotel sesuai preferensi dan kebutuhan mereka. Beberapa hotel juga mungkin tidak memenuhi ekspektasi karena masalah kebersihan atau fasilitas yang tidak berfungsi, yang dapat menimbulkan ketidakpuasan. Untuk mengatasi masalah ini, calon tamu perlu melakukan penelitian mendalam dan membaca ulasan sebelum membuat keputusan. Di Kabupaten Asahan, penggunaan Sistem Pendukung Keputusan (SPK) dengan metode ELECTRE diusulkan sebagai solusi untuk membantu calon tamu dalam mengevaluasi dan memilih hotel. SPK ini dapat mengumpulkan dan menganalisis data seperti lokasi hotel, fasilitas, ulasan tamu sebelumnya, dan harga kamar, sehingga memberikan rekomendasi yang lebih terinformasi dan sesuai dengan kebutuhan pengguna. Penelitian terdahulu menunjukkan bahwa metode ELECTRE efektif dalam menangani pengambilan keputusan multi-kriteria, seperti pada pemilihan penerima bantuan dana Rutilahu dan beasiswa siswa kurang mampu. Dengan demikian, penerapan SPK berbasis metode ELECTRE dalam pemilihan hotel di Kabupaten Asahan dapat mengurangi ketidakpastian dan risiko, meningkatkan efisiensi pencarian informasi, serta memastikan pengalaman menginap yang memuaskan bagi calon tamu.  
Pelatihan Penggunaan Aplikasi Perkantoran Di Kantor Desa Mulyani, Neni; Maelani, Maelani; Syahdila Valentina Simanjuntak, Sarih
Jurnal Bangun Abdimas Vol 4 No 1: Mei 2025
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/ba.v4i1.518

Abstract

-Penerapan aplikasi perkantoran di kantor desa menjadi suatu kebutuhan penting dalam meningkatkan efisiensi dan efektivitas pengelolaan administrasi desa. Seiring dengan perkembangan teknologi informasi, sistem aplikasi perkantoran seperti pengelolaan data kependudukan, surat menyurat, arsip digital, serta manajemen keuangan desa dapat mempermudah tugas-tugas administratif yang sebelumnya dilakukan secara manual. Kegiatan ini bertujuan untuk menganalisis penerapan aplikasi perkantoran di kantor desa, mengidentifikasi manfaat dan tantangannya, serta memberikan rekomendasi terkait implementasi sistem yang optimal. Metode yang digunakan dalam penelitian ini adalah studi literatur dan observasi lapangan di beberapa kantor desa yang telah mengimplementasikan aplikasi perkantoran. Hasil kegiatan menunjukkan bahwa penggunaan aplikasi perkantoran di kantor desa dapat meningkatkan akurasi data, mempercepat proses administrasi, serta memudahkan akses informasi bagi masyarakat. Namun, tantangan seperti keterbatasan sumber daya manusia yang terampil dalam teknologi, serta infrastruktur yang belum merata, menjadi hambatan dalam penerapannya. Oleh karena itu, diperlukan pelatihan yang berkelanjutan dan penguatan infrastruktur agar aplikasi perkantoran dapat diterima dengan baik dan memberikan dampak positif bagi peningkatan pelayanan publik di tingkat desa.  
PENGGUNAAN TEKNOLOGI MOBILE UNTUK PEMBELAJARAN INTERAKTIF DI LUAR RUANGAN Mulyani, Neni; Hutahaean, Jeperson; Putri Fahdrina, Jihan Aulia
JURNAL EDUCATION AND DEVELOPMENT Vol 13 No 1 (2025): Vol 13 No 2 Mei 2025
Publisher : Institut Pendidikan Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37081/ed.v13i1.6990

Abstract

Pembelajaran di luar ruangan memiliki potensi besar dalam meningkatkan keterlibatan dan pemahaman siswa terhadap materi pelajaran, namun masih banyak kendala dalam penerapannya, seperti keterbatasan sumber belajar, kurangnya panduan interaktif, serta kesulitan dalam mengukur efektivitas pembelajaran secara real-time. Teknologi mobile dapat menjadi solusi inovatif dengan menyediakan akses ke informasi, alat bantu interaktif, serta sistem evaluasi yang lebih fleksibel dan efektif. Oleh karena itu, penelitian ini berfokus pada pemanfaatan teknologi mobile dalam mendukung pembelajaran interaktif di luar ruangan dengan tujuan mengembangkan model pembelajaran berbasis teknologi mobile yang dapat meningkatkan efektivitas pembelajaran interaktif. Metode penelitian yang digunakan terdiri dari beberapa tahapan, yaitu studi literatur dan analisis kebutuhan, perancangan sistem aplikasi mobile dengan fitur interaktif seperti augmented reality (AR) dan kuis real-time, implementasi dan pengujian aplikasi di lingkungan sekolah, serta evaluasi efektivitas sistem berdasarkan hasil kuesioner, wawancara, dan analisis data penggunaan aplikasi. Luaran yang ditargetkan dalam penelitian ini mencakup pengembangan aplikasi mobile sebagai media pembelajaran interaktif, publikasi ilmiah terkait inovasi pembelajaran berbasis teknologi mobile, serta panduan implementasi bagi pendidik. Dengan tingkat kesiapan teknologi (TKT) yang berada pada level 4 hingga 6, penelitian ini diharapkan dapat memberikan kontribusi nyata dalam pengembangan model pembelajaran interaktif yang lebih inovatif dan adaptif dengan kemajuan teknologi.
Stacking Ensemble with SMOTE for Robust Agricultural Commodity Price Prediction under Imbalanced Data Siagian, Yessica; Hutahaean, Jeperson; Mulyani, Neni
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.916

Abstract

The volatility of agricultural commodity prices presents a substantial obstacle in the agribusiness sector, especially in supporting timely and data-driven decision-making. This volatility is primarily caused by the imbalanced distribution of historical price data and the complex, often nonlinear nature of price patterns. To address this challenge, this study proposes a novel predictive modeling approach by integrating Stacking Ensemble Learning and Synthetic Minority Over-sampling Technique (SMOTE). The dataset used in this research consists of 5,558 records and 9 features, sourced from a publicly available Kaggle dataset. The target variable daily price was transformed into three classes: low, medium, and high, using a quartile-based discretization approach to enable multiclass classification. The main objective is to evaluate whether stacking combined with SMOTE can improve model performance compared to baseline models that use individual algorithms. A total of eight models were constructed and compared: four baseline models using SMOTE only, and four stacking models integrating SMOTE. The experimental results demonstrate that the proposed model Decision Tree Regression with Stacking and SMOTE achieved the highest performance, with 98.68% accuracy, an F1-score of 0.9868, Cohen’s Kappa of 0.9803, MCC of 0.9803, ROC-AUC of 0.9995, and a log loss of 0.0529. Other optimized models also performed well, such as Random Forest (98.37% accuracy) and Gradient Boosting (98.56%). In contrast, baseline models such as Linear Regression and Decision Tree without stacking achieved only around 67–68% accuracy, with log loss exceeding 0.97. The key contribution of this study is the empirical evidence that combining stacking and SMOTE significantly enhances classification accuracy and model robustness in imbalanced datasets. The novelty lies in applying a deep learning-optimized stacking framework specifically for agricultural commodity price classification, along with a comprehensive multiclass evaluation, offering new insights for practical implementation in agricultural decision support systems.
PENYULUHAN DAMPAK PEMAKAIAN INTERNET BAGI ANAK-ANAK PADA ORANG TUA DI KABUPATEN BATUBARA Neni Mulyani; Jeperson Hutahaean; Jihan Aulia Putri Fahdrina
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i2.27890

Abstract

Abstrak: Penggunaan internet tanpa pengawasan memicu dampak negatif pada anak-anak usia sekolah dasar. Orang tua harus memahami risiko ini untuk mendampingi anak dengan bijak. Kegiatan Pengabdian Masyarakat di Desa Limau Manis, Kabupaten Batubara, bertujuan meningkatkan pemahaman orang tua terhadap dampak penggunaan internet dan menguatkan citra internet sebagai media pembelajaran. Kegiatan dilakukan melalui pelatihan dengan teori dan praktik. Hasilnya menunjukkan peningkatan pemahaman masyarakat tentang dampak negatif internet. Hasil kegiatan pelatihan ini bekerja sama dengan 2 mitra dari Universitas Royal dan diikuti oleh 30 peserta dari komunitas orang tua di Desa perkebunan Limau Manis yang mencapai nilai rata-rata 93,35 pada posttest.Abstract: Unsupervised internet use triggers a negative impact on elementary school-age children. Parents must understand these risks to accompany their children wisely. Community Service Activities in Limau Manis Village, Batubara Regency, aims to increase parents' understanding of the impact of internet use and strengthen the image of the internet as a learning medium. Activities are carried out through training with theory and practice. The results show an increase in public understanding of the negative impact of the internet. The results of this training activity were in collaboration with 2 partners from the Royal University and attended by 30 participants from the parent community in the Limau Manis plantation village who achieved an average score of 93.35 on the posttest.
Jejak Daun Menjadi Karya: Pelatihan Ecoprint Founding Sebagai Media Pembelajaran Berbasis Lingkungan Lola Zeramenda Tarigan; Sisca Sri Dewi; Neni Mulyani
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 2 (2026): April 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i2.4520

Abstract

Abstract: Ecoprinting is an environmentally friendly fabric dyeing technique that utilizes natural pigments from plants. However, the use of this technique as an environmentally-based learning medium in schools is still limited, particularly in optimizing the potential of local plants available around students. This community service activity aims to implement the ecoprint pounding technique with students at Alam Leuser Middle School. The approach used included counseling, simulation, training, and evaluation. The counseling provided basic knowledge of the ecoprint method. The results showed that participants successfully implemented the pounding technique using local leaves and plants. The resulting ecoprints have the potential to become superior products. Local plants that produce the sharpest patterns include Centrosema pubescens, Carica papaya leaves, Ricinus communis L., Cosmos sulphureus, and Pinus. However, further training and intensive mentoring are still needed to improve product quality. This activity is expected to increase students' creativity in using environmental resources as learning tools. This activity introduces simple and easily marketable creative economic ideas. In addition, this activity raises students' awareness of the use of natural materials in textile arts, thereby supporting environmental conservation. Keywords: ecoprint; leaf footprint; environment; learning media; pounding technique Abstrak: Ecoprint merupakan teknik pewarnaan kain ramah lingkungan yang memanfaatkan pigmen alami dari tumbuhan. Namun, pemanfaatan teknik ini sebagai media pembelajaran berbasis lingkungan di sekolah masih terbatas, khususnya dalam mengoptimalkan potensi tumbuhan lokal yang tersedia di sekitar peserta didik. Kegiatan pengabdian masyarakat ini bertujuan untuk menerapkan teknik menumbuk ecoprint dengan siswa di SMP Alam Leuser. Pendekatan yang digunakan meliputi penyuluhan, simulasi, pelatihan, dan evaluasi. Penyuluhan memberikan pengetahuan dasar tentang metode ecoprint. Hasilnya menunjukkan bahwa peserta berhasil melakukan teknik menumbuk menggunakan daun dan tumbuhan lokal. Ecoprint yang dihasilkan berpotensi menjadi produk unggulan. Tumbuhan lokal yang menghasilkan pola paling tajam antara lain Centrosema pubescens, daun Carica papaya, Ricinus communis L, Cosmos sulphureus dan Pinus. Namun, pelatihan lebih lanjut dan pendampingan intensif masih diperlukan untuk meningkatkan kualitas produk. Kegiatan ini diharapkan dapat meningkatkan kreativitas siswa dalam menggunakan sumber daya lingkungan sebagai alat pembelajaran. Kegiatan ini memperkenalkan ide-ide ekonomi kreatif yang sederhana dan mudah dipasarkan. Selain itu, kegiatan ini meningkatkan kesadaran siswa tentang penggunaan bahan alami dalam seni tekstil, sehingga mendukung konservasi lingkungan. Kata kunci: ecoprint; jejak daun; lingkungan; media pembelajaran; tehnik pounding
OPTIMIZATION OF FAST-MOVING DRUG INVENTORY USING THE WEIGHTED PRODUCT METHOD AT ANNISA DRUGSTORE Rafika Dayanti; Neni Mulyani; Ahmad Muhazir
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 3 (2026): Juni 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i3.4443

Abstract

Abstract: Managing fast-moving drug inventory requires accurate supplier selection to ensure product availability and minimize the risk of overstock and out-of-stock conditions. At Annisa Pharmacy, the supplier selection process has traditionally relied on experience and subjective judgment, which may lead to less optimal decisions. This study aims to design and implement a Decision Support System (DSS) for selecting fast-moving drug suppliers using the Weighted Product (WP) method. The WP method is applied because it is capable of processing multiple criteria simultaneously through structured weighting, including demand frequency, delivery lead time, remaining shelf life, purchase price, and profit margin. The system is developed as a web-based application using PHP and MySQL. The results show that the implementation of the Weighted Product method successfully produces preference values and accurate supplier rankings, enabling the system to correctly determine the most optimal fast-moving drug supplier based on the defined criteria. Therefore, the developed system can assist the owner of Annisa Pharmacy in making more precise, objective, and structured inventory procurement decisions. Keywords: decision support system; drug inventory; supplier selection; weighted product. Abstrak: Pengelolaan stok obat fast moving di Toko Obat Annisa memerlukan ketepatan dalam menentukan supplier agar ketersediaan obat tetap terjaga dan risiko overstock maupun out of stock dapat diminimalkan. Selama ini, proses pemilihan supplier masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) pemilihan supplier obat fast moving menggunakan metode Weighted Product (WP). Metode WP digunakan karena mampu mengolah beberapa kriteria secara simultan melalui pembobotan yang terstruktur, meliputi frekuensi permintaan, lead time, sisa masa kedaluwarsa, harga beli, dan margin keuntungan. Sistem dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian menunjukkan bahwa penerapan metode Weighted Product mampu menghasilkan nilai preferensi dan perankingan supplier secara objektif, sehingga sistem berhasil menentukan supplier obat fast moving yang paling optimal sesuai dengan kriteria yang telah ditetapkan. Dengan demikian, sistem yang dibangun dapat membantu pemilik Toko Obat Annisa dalam mengambil keputusan pengadaan stok obat secara lebih tepat, objektif, dan terstruktur. Kata kunci: sistem pendukung keputusan; toko obat; pemilihan pemasok; weighted product
Single Moving Average (SMA) Analysis for Gold Jewelry Sales a Pegadaian Outlet Labuhan Ruku Rozi Juliantika; Neni Mulyani; Sudarmin Sudarmin
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.479

Abstract

This study aims to analyze gold bullion sales at the Pegadaian Labuhan Ruku Outlet using the Single Moving Average (SMA) method as a forecasting tool. Forecasting, which involves estimating future events based on historical data, is essential in business decision-making, particularly in inventory and financial planning. The SMA method was chosen for its simplicity and effectiveness in identifying sales trends over time. Using monthly gold sales data from January 2024 to January 2025, this study predicts future sales to help the company respond to market demand. The results show that gold sales fluctuate due to factors such as global gold price changes and consumer purchasing behavior. The SMA method successfully produced accurate sales forecasts with a low error rate, proving its reliability for short-term prediction. In conclusion, implementing the SMA forecasting method can support Pegadaian in managing stock more efficiently, minimizing excess inventory, and improving responsiveness to market trends. This suggests that even simple forecasting techniques can provide valuable insights and play a strategic role in business operations.
Seleksi Staff IT Menggunakan Metode Preference Selection Index (PSI) Iwan Adhicandra; Jeperson Hutahaean; Rima Ruktiari Ismail; Neni Mulyani; Novrini Hasti
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1390

Abstract

To get the right employees and in accordance with the criteria of the company or agency is certainly not easy. Therefore, to get the employees desired by the company or agency, a selection of prospective IT staff in a company is needed so that later the company or agency will get competent IT staff in accordance with their field. The large number of applicants in the company makes it difficult for companies to experience obstacles and difficulties in choosing prospective IT staff. In the selection process, it is often influenced by subjective factors that can lead to the election of incompetent employees. For this reason, an information system is needed that can help companies in selecting prospective IT staff. This system is known as a decision support system. for this study, the Preference Selection Index method is used based on several studies that have been published. The final results of the calculation were obtained the names of candidates in order from rank 1 to 10, namely: Fani, Bunga, Agus, Evan, Putra, Jaka, Dani, Andi, Citra and Intan
Penerapan Metode MOORA Untuk Menentukan Serangan Hama Dan Penyakit Tanaman Kakao Neni Mulyani; Jeperson Hutahaean; Jihan Aulia Putri Fahdrina
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1670

Abstract

− Lubuk Palas Village, precisely in the Banjar Village area, is one of the villages where most of the people make a living as farmers. One type of plantation crop that is cultivated in Lubuk Palas Village is cocoa. However, the productivity of cocoa plants is always decreasing, the problem is pests and diseases. So far, the farmers of Lubuk Palas Village are still using manual methods such as guessing in determining pests and diseases on the cocoa plant. This causes the results to be less accurate and take a long time to determine. Due to the absence of a system that can help farmers in Lubuk Palas Village in overcoming pest and disease attacks on cocoa plants quickly. Therefore, a decision support system is needed using the MOORA method with the calculation of the web-based MOORA method that can make it easier for cocoa farmers in Lubuk Palas Village to determine pest and disease attacks on cocoa plants quickly, and can overcome the losses caused by attacks by nuisance organisms. the cocoa plant. In this study using quantitative methods. The data sources used are based on interviews, questionnaires and observations. Based on the data analysis that has been carried out, it is concluded that fruit-sucking ladybugs (Helopeltis spp) are obtained with a weight value (0.42545616), and fruit rot disease (anthracnose) is obtained with a weight value (0.426163942), these pests and diseases often occur and detrimental to cocoa farmers in Lubuk Palas Village.
Co-Authors Ade Mayhaky Adinda Salsabila Agung Prasetio Ahmad Muhazir Ahmad Zein Hasibuan Akmal Nasution Aldy Sudrajat Andi Sapta Andy Sapta Aulia Kartika Aulia Kartika Aulia Khairani Nasution Aulia khairani Nasution Ayu Ambarwati Azmi Dwi Andira Putri, Aulia Bobby Anggara Azhari Dea Amanda Sari Lubis Dewi Ananda Dewi Harwini Dhiah Novalina Dinda Nuri Fazira Elly Rahayu Endra Saputra Farenza, Dinda Novri Febby Madonna Yuma Fitri Hadanyani Ganefri Hanim Setya Ningrum Haryansyah Sitorus Hommy Dorothy Ellyany Sinaga Hutahean, Jeperson Indah Kurnia Ingrid Sartika Putriayu Sihite Intan Sri Hartina Kumala Sari Irawati, Novica Irianto Irianto Isma Auli Mahrani Iwan Adhicandra Jayawarsa, A.A. Ketut Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jihan Aulia Putri Fahdrina Jihan Aulia Putri Fahdrina Kifti, Wan Mariatul Kiki Andriani Lola Zeramenda Tarigan M. Ardiansyah Sembiring Maelani, Maelani Masitah Handayani Maulida, Vivi Muh Saleh Malawat Muhammad Amin Mustika Fitri Larasati Sibuea Nasrun Marpaung Nizwardi Jalinus Novica Irawati Novrini Hasti Nurhidayanti Nurhidayanti Nurhikma Ritonga Putri Fahdrina, Jihan Aulia Rafika Dayanti Rahayu, Elly Ramadhan, Muhammad Sabir Ramadhani, Andrew Refdinal Rika Nofitri Rima Ruktiari Ismail Riri Khairunnisa Rizaldi Rozi Juliantika Ryandini Dwi Agusti Sapriyanti Sapriyanti Siagian, Yessica Sisca Sri Dewi Sri Hidayanti Suci Ramadhani Sudarmin Sudarmin Sukardi Syahdila Valentina Simanjuntak, Sarih Tia Zulaika Aulia Pane Umbari Putri, Lia USWATUN HASANAH Wardani, Duhita Savira Wawa Salsabilla Widyantara, Aji Bagus Windy Irmayanti Yessica Siagian Yohana Dela Vega Yori Apridonal M Yuliana, Siska Yusuf Gunawan Zulfi Azhar Zulfi Azhar