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All Journal Jurnal Media Infotama AGRITEPA: Jurnal Ilmu dan Teknologi Pertanian TRANSISTOR Elektro dan Informatika International Journal of Artificial Intelligence Research Prosiding Seminar Nasional Darmajaya Jurnal Teknik Informatika UNIKA Santo Thomas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Budimas : Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science JAPI: Jurnal Akses Pengabdian Indonesia SATIN - Sains dan Teknologi Informasi Jurnal Semarak Mengabdi Jurnal Kewirausahaan dan Bisnis Jurnal Komputer Jurnal Komputer, Informasi dan Teknologi
Jusuf Wahyudi
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Returns to Postgraduate Education in Indonesia: Province-Level Evidence and Policy Implications Ahmad Arib Al Farisy; Devi Sartika; Lena Elfianty; Jusuf Wahyudi; Chisillia Mayangsari; Sarah Ulfah Al Amany
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1708

Abstract

This study investigates the relationship between postgraduate education (Master's and Doctoral degrees, designated S2/S3 in Indonesia's educational system) and provincial-level economic outcomes using comprehensive 2022 data from Indonesia's Central Statistics Agency (BPS). Drawing on human capital theory (Becker, 1964; Mincer, 1974) and signaling theory (Spence, 1973), we examine how the concentration of advanced degree holders correlates with key development indicators across Indonesia's 34 provinces. Our cross-sectional analysis employs Pearson correlations with heteroscedasticity-robust standard errors and multiple regression specifications controlling for urbanization, industrial composition, and geographic factors. Results reveal significant positive correlations between postgraduate education rates and economic prosperity. Provinces with higher concentrations of S2/S3 degree holders demonstrate substantially higher GDP per capita (r = 0.52, p < 0.01), Human Development Index scores (r = 0.71, p < 0.001), and lower poverty rates (r = -0.48, p < 0.01). DI Yogyakarta leads with a postgraduate rate of 1.11%, while Nusa Tenggara Timur lags at 0.21%, highlighting significant regional disparities. These findings are robust to the exclusion of outliers (DKI Jakarta, Papua) and persist across alternative model specifications. While cross-sectional data precludes causal inference, the strength and consistency of associations provide empirical support for expanding government scholarship programs such as LPDP (Lembaga Pengelola Dana Pendidikan). We recommend targeted scholarship investments in underrepresented provinces and fields with high economic multiplier effects to address regional disparities and maximize returns from educational investment
Penerapan Metode Perbandingan Eksponensial (MPE) Dalam Sistem Pendukung Keputusan Penilaian Kinerja Satpol PP Vebi Hardiansyah; Jusuf Wahyudi; Indra Kanedi; Sastya Hendri Wibowo
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10281

Abstract

Performance Evaluation of Satpol PP is an important aspect in improving work effectiveness and professionalism. However, the subjective and unstructured appraisal process often leads to unfairness and inaccuracy in decision making. To overcome this problem, this study implements the Exponential Weighted Average (EWA) method in a Decision Support System (DSS) to provide a more objective, systematic, and measurable performance evaluation. EWA is used to compare various performance criteria exponentially, resulting in more accurate assessment weights based on their level of importance. The criteria used include discipline, responsibility, teamwork, initiative, and leadership. With the aim of assisting the government of Bengkulu City in assessing the performance of Satpol PP, it can be concluded that this will simplify the data input process and the presentation of evaluation results. The results of the implementation show that the system built is capable of providing consistent performance assessment recommendations that are acceptable to Satpol PP management. Thus, the implementation of ECM in DSS has proven to be effective in supporting a more fair and transparent performance assessment decision-making process.
The Implementation Of K-Means Clustering Method To Product Sales Data At Pratama Elektronik Shop, Taba Lagan Village, Central Bengkulu Regency Yoga Putra Pratama; Jusuf Wahyudi; Eko Suryan
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11974

Abstract

The implementation of K-Means Clustering method to product sales data at Pratama Elektronik shop, Taba Lagan Village, Central Bengkulu Regency, can assist store management in grouping sales data automatically and in a computerized manner, as well as providing information regarding product sales patterns that can be used to support decision-making, particularly in inventory management. The clustering results consisted of three groups: Cluster C1 (high-sales category), Cluster C2 (medium-sales category), and Cluster C3 (low-sales category). Based on testing using 100 sales data records from Pratama Elektronik shop, Taba Lagan Village, the results showed that 76 products were classified in the low-sales category, 21 products were classified in the medium-sales category, and only 5 products were classified in the high-sales category.
Implementasi Data Mining Algoritma K-Nearest Neighbor Pada Penentuan Pemberian Sanksi Disiplin Di Rumah Sakit Umum Daerah Dr. M. Yunus Bengkulu Fiqi Aprianto; Jusuf Wahyudi; Ila Yati Beti
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.12078

Abstract

Regional General Hospital (RSUD) Dr. M. Yunus Bengkulu is a government-owned health care facility with a strategic role in providing health services to the public, making employee discipline an important factor to maintain. The determination of disciplinary sanctions for employees at RSUD Dr. M. Yunus Bengkulu is still carried out manually based on recorded violation data, which requires a relatively long time and has the potential to create subjectivity in decision making. This study aims to apply the data mining method using the K-Nearest Neighbor (K-NN) algorithm to classify employee disciplinary sanctions based on five assessment attributes, namely years of service, number of tardiness incidents, number of unexplained absences, SOP violations, and service ethics violations. The system was developed using the Waterfall development method and implemented as a web-based application using the PHP programming language and MySQL database. Testing was conducted on 20 training data and 20 testing data using a K value of 5, calculated from the square root of the number of training data. The test results show that the K-Nearest Neighbor algorithm is able to classify employee disciplinary violation data into four sanction categories, namely no sanction, verbal warning, written warning, and disciplinary sanction, with an accuracy rate of 90%. Black box testing results also show that all system functions run according to requirements. This research is expected to help the management of RSUD Dr. M. Yunus Bengkulu make decisions on employee disciplinary sanctions in a more objective, consistent, and measurable manner.
Implementasi Metode Additive Ratio Assessment (ARAS) Untuk Seleksi Penerimaan Beasiswa Pada SMA Negeri 4 Bengkulu Tengah Redi Satrio; Jusuf Wahyudi; Reno Supardi
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4231

Abstract

Abstract_Bengkulu Middle 4 State Senior High School is the only senior high school in Pagar Jati District, Central Bengkulu Regency. Selection of scholarships at SMA Negeri 4 Bengkulu Tengah is still done manually to select scholarship recipients and this results in errors and often inaccurate selection of scholarships. The Additive Ratio Assessment Method (ARAS) implementation application for selecting scholarship recipients at the Bengkulu Tengah 4 State Senior High School was created to assist teachers in making decisions easier in selecting the right scholarship recipients and assisting in the correct data collection. Processing in terms of data storage. Based on the results of the tests that have been carried out, functionally the application of the Additive Ratio Assessment (ARAS) Implementation Method for selecting scholarship recipients at Senior High School 4 Bengkulu Tengah is going well as expected.
Implementasi Metode Topsis Dalam Pemilihan Tenaga Fasilitator Lapangan Pada Pembangunan Infrastruktur Di Provinsi Bengkulu Helvi Ramadhanti Rossa; Jusuf Wahyudi; Prahasti Prahasti
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9194

Abstract

The selection of the right field facilitator is very important in supporting the success of infrastructure development in Bengkulu Province. One method that can be used to help the objective selection process is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method focuses on selecting the alternative that is closest to the positive ideal solution and conversely, the furthest from the negative ideal solution. This study aims to implement the TOPSIS method in selecting field facilitators that are in accordance with the predetermined criteria. The criteria used in this study include experience, technical skills, managerial abilities, and competence in the field of infrastructure. Data collected from various field facilitator candidates were then analyzed using the TOPSIS method to provide the best ranking based on their proximity to the ideal solution. The results of this study are expected to provide more effective and efficient recommendations in selecting field facilitators, so that they can support the smoothness and quality of infrastructure development in Bengkulu Province
Implementasi Metode Service Quality Untuk Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Fakultas Ilmu Komputer Zashosudi Shoranto; Jusuf Wahyudi; Rizka Tri Alinse
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10151

Abstract

Higher education demands the provision of quality academic services to ensure user satisfaction, specifically student satisfaction. The Faculty of Computer Science (Filkom) at Dehasen University, Bengkulu, does not yet have a measurable system for evaluating its service quality, making it difficult to identify areas for improvement based on student feedback. This study aims to implement the Service Quality (ServQual) method to measure student satisfaction with Filkom's academic services. The ServQual method is used to analyze the gap between student perceptions and expectations across five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy.The results of the ServQual analysis indicate that overall, students are dissatisfied with the services provided. All dimensions and indicators received negative gap scores, with the Responsiveness dimension recording the largest gap. The conclusion of this study is that the ServQual method is effective as an objective service quality measurement tool. The developed application not only provides a comprehensive overview of student satisfaction levels but also serves as an efficient monitoring tool for the faculty to implement continuous improvement.
PREDIKSI JUMLAH PENDAFTARAN SISWA BARU DENGAN METODE TIME SERIES Yulistika Handini; Jusuf Wahyudi; Jhoanne Fredricka
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i1.1685

Abstract

Abstract: North Bengkulu State Vocational School 2 is one of the Vocational High Schools in North Bengkulu which has several majors that students can choose from. At the beginning of each new academic year, there will be a reception for prospective new students. There is often competition in attracting prospective new students to enter SMK Negri 2 North Bengkulu. With competition between vocational schools, the number of new student registrations will increase each year and it is possible that there will be a decrease in prospective new students, so that the number of new students at these vocational schools will be unstable.  The prediction application for the number of new student registrations at SMK Negeri 2 North Bengkulu is an application that can help schools find out how many student registrations there will be in the next/next academic year based on the results of analysis that has been carried out from previous trend data.  From the results of the time series method analysis, the predicted results for the number of new student enrollments in the 2023/2024 academic year were obtained, namely TKRO of 99.4937 students, TKP of 36.0888 students, and TKJ of 64.0501 students Keywords: prediction; number of new student registrations; time series method Abstrak: SMK Negeri 2 Bengkulu Utara merupakan salah satu Sekolah Menengah Kejuruan yang terdapat di Bengkulu Utara yang memiliki beberapa jurusan yang dapat dipilih oleh siswa/i. Setiap awal tahun ajaran baru akan menyelenggarakan penerimaan calon peserta didik baru. Sering terjadi persaingan dalam menarik minat calon siswa baru untuk masuk SMK Negri 2 Bengkulu Utara. Dengan adanya persaingan antar SMK, jumlah pendaftaran siswa baru setiap tahunnya akan mengalami peningkatan dan tidak menutup kemungkinan akan mengalami penurunan calon peserta didik baru, sehingga jumlah siswa baru di SMK tersebut tidak stabil. Aplikasi prediksi jumlah pendaftaran siswa baru di SMK Negeri 2 Bengkulu Utara merupakan suatu aplikasi yang dapat membantu sekolah dalam mengetahui berapa banyak jumlah pendaftaran siswa/i di tahun ajaran mendatang/berikutnya berdasarkan hasil analisis yang telah dilakukan dari data trend sebelumnya.  Dari hasil analisis metode time series, diperoleh hasil prediksi jumlah pendaftaran siswa baru pada Tahun Ajaran 2023/2024 yaitu TKRO sebanyak 99,4937 siswa/i, TKP sebanyak 36,0888 siswa/i, dan TKJ sebanyak 64,0501 siswa/i Kata kunci: prediksi; jumlah pendaftaran siswa baru; metode time series
IMPLEMENTASI METODE WEIGHTED PRODUCT UNTUK MENENTUKAN PENERIMA BANTUAN PUPUK PADA KELOMPOK TANI KABUPATEN KAUR Kiki Nadia; Jusuf Wahyudi; Jhoanne Fredricka
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i1.1725

Abstract

Pertumbuhan tanaman yang sehat dan hasil produksi yang baik membutuhkan unsur hara seimbang, cukup, dan unsur hara yang lengkap agar dapat tumbuh dengan baik agar menghasilkan produk berkualitas, tidak semua memiliki kesuburan tanah yang baik, untuk menghasilkan unsur hara yang cukup maka diperlukan pupuk yang sesuai. Pemupukan merupakan terpenting, terutama penentuan pupuk dasar berdasarkan kebutuhan unsur hara makro, gejala kerusakan seperti kerusakan akar. Mangga merupakan tanaman perkebunan, buah tropis yang digemari berbagai kalangan dan banyak dibudayakan di Indonesia. Metode weighted product merupakan salah satu untuk menentukan alternatif yang ditawarkan dari penyelesaian masalah, pembuatan aplikasi untuk menentukan penerima bantuan pupuk pada kelompok tani menggunakan Bahasa pemrograman VB Net dengan database sql server. Aplikasi ini berfungsi untuk menentukan penerima bantuan pupuk yang sesuai dengan tingkat gejala kerusakan dan menerapkan perhitungan menggunakan metode.
PENERAPAN METODE MARKET BASKET DENGAN ALGORITMA HASH-BASED TERHADAP DATA PENJUALAN PRODUK PADA MINIMARKET REMAJA KAMPUS BENGKULU Afrio Royzen; Jusuf Wahyudi; Eko Suryana
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 1 (2024): February 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i1.1739

Abstract

Abstract: Campus Youth Minimarket is a type of business in the field of selling daily necessities. For decision making in determining the amount of product inventory that can be adjusted to market demand, the Campus Youth Minimarket does not yet use a system and is still calculated manually. Therefore, this research was carried out with the aim of implementing the Hase Based method in grouping sales data at the Bengkulu Campus Youth minimarket. So you can easily determine and classify high product sales. The system implementation uses the PHP programming language and MySQL database and the method used in this research is the waterfall method. After carrying out the Hase Based process at the Campus Youth Minimarket with data testing, the results obtained were the highest level of product sales at the Bengkulu Campus Youth Minimarket. This can be used as a reference by the Campus Youth Minimarket for product supplies for the following month. Keywords: Data Mining, Hase Based, Remaja Kampus Minimarket Abstrak: Minimarket Remaja Kampus merupakan salah satu jenis usaha di bidang penjualan keperluan sehari-hari. Untuk pengambilan keputusan dalam menentukan jumlah persediaan produk yang dapat disesuaikan dengan permintaan pasar Minimarket Remaja Kampus belum menggunakan sistem dan masih dihitung secara manual. Oleh karena dilakukan penelitian ini dengan tujuan untuk mengimplementasikan metode Hase Based dalam pengelompokan data penjualan pada minimarket Remaja Kampus Bengkulu. Sehingga dengan mudah dapat menentukan dan mengklasifikasikan penjualan produk yang tinggi. Implementasi sistem menggunakan bahasa pemrograman PHP dan Database MySQL dan metode yang digunakan dalam penelitian ini adalah metode waterfall. Setelah dilakukan proses Hase Based pada Minimarket Remaja Kampus dengan uji data maka didapatkan hasil tingkat penjualan produk tertinggi di Minimarket Remaja Kampus Bengkulu. Hal ini dapat dijadikan acuan oleh Minimarket Remaja Kampus untuk persediaan  produk bulan berikutnya. Kata kunci: Data Mining, Hase Based, Minimarket Remaja Kampus 
Co-Authors Adriyani Prawitasari Afrio Royzen Ahmad Asyhari Aji Sudarsono Aji Sudarsono Alani , Gina Dwi Alinse, Rizka Tri Alparisa, Egen Tri Andayani Andayani Andre Gustiawan Andre Pranata Andriyani Prawitasari Andwini Prasetya Ariantara, Yudi Aris Syafrando Ariska, Yesi Indian Arius Satoni Kurniawansyah Arliando , Yode Azuwandri, Azuwandri Benni Candra Berlian Berlian Chisillia Mayangsari Deddy Pertan Sagala Desi Mahdalena Desy Maryani Devi Sartika Devi Sartika Devina Ninosari Dewi Suranti Diah Selviani, Diah Efendi, Yanto Eko Prasetiyo Rohmawan Eko Prasetyo Rohmawan Eko Suryan Eko Suryana Eko Suryana Elfianty , Lena Erwansyah, Riska Eva Ramalia Sari Evi Andriani Evi Lorita, Evi Fenti Randita Feri Hari Utami, Feri Hari Feri Saputra Fido Rama Nugraha Fiqi Aprianto Fitri Alfarisy Fredricka, Jhoanne Fredricka, Jhoanne Ganda, Orlando Bona Gunawan, Sukro Adi Hamzah, Alfanisah Ramita Helvi Ramadhanti Rossa Herlina - Hermawansyah Hermawansyah Hesti Nur'aini Hesti Nur’aini Ida Anggriani Ila Yati Beti Imma Rachayu, Imma Indra Kanedi Iswidana Utama Putra Iwan Junaidi Jhoanne Fredricka Juju Jumadi Julita, Rina Jumadi , Juju Jumadi, Juju Junaidi, Iwan Kara, Radja Bagas Khairil Khairil Khairil Khairil Kharien Eka Putri Kiki Nadia Kurniawansyah , Arius Satoni Lena Elfianty Lina Widawati Luhtfiah, Izza Lutfhia , Izza Martianti Maryaningsih Maryaningsih Meizoni, Putra Melisa Elistri Nia Ade DO Nirta Vera Yustanti Nofi Qurniati Nugraha, Fido Rama Nugroho Ponco Riyanto Orlando Bona Ganda Pertan Sagala, Deddy Prahasti Prahasti, Prahasti Rachayu , Imma Radja Bagas Kara Randita, Fenti Redi Satrio Reno Supardi Reno Supardi Ricky Zulfiandry Riki Ternando Rizka Tri Alinse Rohmawan , Eko Prasetiyo Romzi - Ronaldo Praja Saputra Roni Herdian Saputra Rosdiana Rosdiana Sanjaya, Ahdi Santi Weliana Sapri Sapri sapri sapri Saputra, Ronaldo Praja Sarah Ulfah Al Amany Sartika, Devi Sastya Hendri Wibowo Setiawan, Gana Wahyu Siska Apriyani Apriyani Siti Sundari Sudarsono , Aji Suranti , Dewi Suwarni Suwarni Suwarni Suwarni, Meli Ternando, Riki Trianggono, Muhamad Ibnu Vebi Hardiansyah Wahyu Al Amar Wahyu Hidayat Widodo Widodo Wijaya, Beni Dera Wizura, Kelvin Ade Yode Arliando Yoga Putra Pratama Yossie Yumiati Yulistika Handini yupianti yupianti Zashosudi Shoranto Zulfiandry, Ricky