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ANALYSIS OF THE LEVEL OF EFFECTIVENESS OF THE INDEPENDENT CAMPUS MERDEKA LEARNING PROGRAM (MBKM) USING METHODSPREFERENCE SELECTION INDEX (PSI) AND VIKOR METHOD Kiki Artika; Muhammad Iqbal; Zulham Sitorus; Andysah Putera Utama Siahaan; Rian Farta Wijaya
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.61

Abstract

This research aims to analyze the level of effectiveness of the Independent Campus Learning Program (MBKM) using the Preference Selection Index (PSI) Method and VIKOR Method. The MBKM program is an initiative of the Ministry of Education and Culture of the Republic of Indonesia which aims to provide more flexibility and learning opportunities for students through various off-campus activities. This research was conducted to measure the extent to which the program succeeded in achieving its goals. The PSI method is used to determine preferences for various aspects of the program based on assessments from students and academic staff, while the VIKOR method is used to identify the best compromise solution that can maximize stakeholder satisfaction. Analysis was carried out to assess the effectiveness of the program based on several criteria, including the quality of the learning experience, relevance to the world of work, and contribution to student skills development. This research suggests that to further increase the effectiveness of the MBKM Program, there needs to be an emphasis on developing a curriculum that is more responsive to industry needs and improving supporting facilities for students. The implications of the results of this research are important for policy makers in designing educational strategies that are more adaptive and oriented to labor market needs.
COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND C4.5 ALGORITHM IN SELECTING TYPES OF UMKM PRODUCTS IN BBPSDMP KOMINFO MEDAN TRAINING Alex Siregar; Leni Marlina; Khairul; Muhammad Iqbal; Andysah Putera Utama Siahaan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.64

Abstract

This study compares the accuracy of the Naïve Bayes and C4.5 algorithms in determining the most suitable product types for Micro, Small, and Medium Enterprises (MSMEs) participating in the Digital Entrepreneurship Academy (DEA) training program at BBPSDMP Kominfo Medan. This study uses a dataset from DEA participants between 2021 and 2022. The analysis shows that the C4.5 algorithm has a higher accuracy compared to Naïve Bayes, indicating its better effectiveness in helping MSMEs choose product types. These findings suggest that C4.5 is more suitable for applications that require a high level of accuracy, especially in the context of this study. This study provides valuable insights into the selection of algorithms to support decision making in the MSME sector.
ANALISIS PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN DOUBLE MOVING AVERAGE PADA KASUS PERAMALAN PENJUALAN KOPI BUBUK DI LOPO MANDHELING COFFEE Siahaan, Andysah Putera Utama; Rabe, Siska Mayasari; Asyifa, Nathania; Datin, Maha Valne; Syahri, Rahma; Rambe, Rezkinah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4199

Abstract

Abstract: This study aims to compare the accuracy between time series forecasting methods, namely Double Exponential Smoothing (DES) and Double Moving Average (DMA), in forecasting ground coffee sales at Lopo Mandheling Coffee, an MSME in the beverage sector. The sales data used is monthly data from January 2024 to March 2025. The analysis was carried out by calculating the accuracy of each method using the MAPE, MAD, and MSE indicators. The results show that the DMA method provides more accurate forecasting results than the DES method for both types of coffee (Specialty and Premium). DMA has lower MAPE, MAD, and MSE values, so it is more recommended for use in sales forecasting in this MSME. This study provides a practical contribution for MSME actors in improving operational efficiency through a data-driven forecasting approach.Keyword: Sales forecasting; double exponential smoothing; double moving average; ground coffee; MSMEAbstrak: Penelitian ini bertujuan sebagai perbandingan akurasi antara metode peramalan deret waktu, yaitu Dpuble Exponential Smoothing (DES) dan Double Moving Avarega (DMA), dalam meramalkan penjualan kopi bubuk di Lopo Mandheling Coffee, sebuah UMKM di sektor minuman. Data penjulan yang digunakan merupakan data bulanan dari Januari 2024 hingga Maret 2025. Analisis dilakukan dengan menghitung akurasi masing-masing metode menggunakan indikator MAPE, MAD, dan MSE. Hasil penelitian menunjukkan bahwa metode DMA memberikan hasil peramalan yang lebih akurat dibandingkan metode DES untuk kedua jenis kopi (Specialty dan Premium). DMA memiliki nilai MAPE, MAD, dan MSE yang lebih rendah, sehingga lebih direkomendasikan untuk digunakan dalam peramalan penjualan pada UMKM ini. Penelitian ini memberikan kontribusi praktis bagi pelaku UMKM dalam meningkatkan efisiensi operasional melalui pendekatan peramalan berbasis data.Kata kunci: Peralaman penjualan; double exponential smoothing; double moving average; kopi bubuk; UMKM
RANCANG BANGUN SISTEM PEMINJAMAN DAN PENGEMBALIAN BUKU DI SMK SWASTA SWAKARYA BINJAI Hasibuan, Peronika Br; Hariyanto, Eko; Siahaan, Andysah Putera Utama
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4250

Abstract

Abstract: In today's era of globalization, information technology plays a very important role in processing data and transforming it into accurate information. SMK Swasta Swakarya Binjai currently faces several recurring problems. Until now, the recording of book loans and returns has been done manually, which has made it difficult to retrieve information. The current system for recording book collections, member data, borrowing, returning, and fines is still done by writing in a ledger, which is felt to be ineffective and inefficient for library management. This makes it difficult for library members to find the books they want to read and complicates the process for staff to update the existing book data. This issue serves as the basis for developing a research system for book borrowing and return processes. The objective is to create an application for book borrowing and return processes. It is hoped that the developed application will successfully address the existing issues and facilitate both library members and administrators in conducting book borrowing and return processes at the library. Keywords: System, Borrowing, Returning, Books, Library Abstrak: Pada era globalisasi saat ini, teknologi sistem informasi mempunyai peranan sangat penting dalam mengolah data, memproses data, dan mengubah data untuk mendapatkan informasi yang akurat. SMK Swasta Swakarya Binjai, untuk saat ini menghadapi beberapa permasalahan yang sering bulang kali terjadi. Selama ini, pencatatan untuk peminjaman dan pengembalian buku dilakukan secara manual, yang mengakibatkan kesulitan dalam temu-balik informasi. Sistem yang ada saat ini untuk sistem pencatatan koleksi buku, data anggota, peminjaman, pengembalian, dan denda masih dilakukan dengan menulis pada buku besar hal ini dirasakan kurang efektif dan efisien untuk pengelolaan perpustakaan. Hal ini menyebabkan anggota perpustakaan kesulitan dalam mencari buku yang ingin mereka baca serta mempersulit petugas dalam meng-update data buku yang ada sekarang. Permasalahan ini yang menjadi dasar untuk membuat penelitian sistem peminjaman dan pengembalian buku. Tujuannya adalah untuk membuat sebuah aplikasi sistem peminjaman dan pengembalian buku. Diharapakan aplikasi yang dibuat berhasil mengatasi permasalahan yang terjadi dan dapat memudahkan pihak anggota dan pengelolah perpustakaan dalam melakukan peminjaman dan pengembalian buku perpustakaan. Kata kunci: Sistem, Peminjaman, Pengembalian, Buku, Perpustakaan
Co-Authors Afandi Syahputra Alex Siregar Alfiandi, Alfiandi Anwar, Dede Utari Anzas, Anzas Ibezato Zalukhu Arahman Harahap Arif Rahman Asyifa, Nathania Aulia, Popi Aulia, Wina Ayu, Ayu Ofta Sari Azizah Harahap, Nur Bambang, Bambang Sugito beckham pratama, arya Chairul Indra Angkat Datin, Maha Valne Dewi Sartika Didi Riswan Dika, Dika Efendi, Syahril Ehkan, Phaklen Eko Hariyanto Eko Hariyanto Eko Wahyudi Farta wijaya, Rian Fawaz, Muhammad Ayyasi Hasibuan, Peronika Br Hendra Harnanda Hermansyah Hermansyah Hermawan, Bagus Ibrahim Ibrahim Imam Solihin Iqbal Wiranata Siregar Iqbal Wiranata Siregar, Jimmy Izhari, Fahmi Juliyandri Saragih Kariyani Khairul Khairul , Khairul Khairul Khairul, Khairul Khairunnisa Kiki Artika Leni Marlina Leni Marlina Leni Marlina Manurung, Monica M Melva Sari Panjaitan Mesran, Mesran Muham, Dinda Novita Sari Muhammad Ayyas Fawaz Muhammad Indra Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Muhammad Irsyad Muhammad Syahputra Novelan Muhammad Wahyudi Muhammad Zarlis Nasution, Darmeli Rabe, Siska Mayasari Ramatika, Desy Rambe, Rezkinah Rendi Aprijal Rian Farta Wijaya Rizky Rinaldi Simamora, Siska Simorangkir, Elsya Sabrina Asmita Sinyo Andika Nasution, Ahmad Sitepu, Nabila Putri Br Sitorus, Zulham Solihin, Imam Sony Putra Sri Wahyuni Suheri Supiyandi Supiyandi Swandi Dedi Arnold Pardede Syafran Panggabean, Edwin Syahputri, Maulisa Syahri, Rahma Syamsul Arifin Trisnani, Anis A Ullah, Insaf Utari Wanny, Puspita Wiko Pratama Wina Aulia Wulan Ramadhani Yuni Simanullang, Rahma Zuhri Ramadhan Zulham, Zulham Sitorus