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Productivity Improvement Training: Capacity Building For Human Resource Managers In Deli Serdang Regency, Sumatera Utara Halim, Hendra; Teuku Meldi Kesuma; M. Ridha Siregar; Teuku Muhammad Syahrizal; Khairil Umuri; Dinaroe; Iskandarsyah; Fakhrurrazi; Hamdi Harmen; Ahmad Nizam; Farid
Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (Janayu) Vol. 4 No. 3 (2023): Jurnal Pengabdian dan Peningkatan Mutu Masyarakat
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/janayu.v4i3.28196

Abstract

Purpose – The purpose of this community service initiative is to provide comprehensive productivity enhancement training specifically tailored for HR managers working in various companies. This training aims to equip them with the knowledge and skills necessary to improve productivity within their respective organizations. Design/methodology/approach – The training program utilizes a multifaceted approach, combining traditional lecture-based teaching, case method studies, and project-based learning. It spans over a 5-day period and took place at the Balai Besar Pelatihan Vokasi dan Produktivitas (BBPVP) Medan in August 2022. The training encompasses various modules, including an introductory session on productivity, planning, organizational strategies, and methods for analyzing and enhancing productivity. To assess the effectiveness of the training, participants undergo pre-test and post-test evaluations to measure the extent of their knowledge enhancement. Findings – The evaluation results reveal a noteworthy improvement in participants' comprehension and proficiency in enhancing productivity within their workplace environments. This indicates that the diverse and interactive training methods employed in the program directly contribute to enhancing productivity-related skills among HR managers. Originality/value – This community service initiative holds significant value as it addresses a specific and critical need for HR managers in various companies. By offering specialized training in productivity enhancement, it equips participants with valuable skills that can positively impact their organizations. Additionally, the use of diverse training methods ensures engagement and effective learning. Despite time constraints and potential challenges, this initiative has the potential to drive meaningful change and serve as a model for future community-focused training programs.
An Analysis of Learning and Study Strategies Among Undergraduate Students Iskandarsyah; Ardian, Riski; Arisman, Ahmad
SATKRIYA : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2023): SATKRIYA: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Abstract

The study aimed to assess learning and study strategies among undergraduate students and explore variations based on achievement level, academic year, college type, and gender. It employed a descriptive analytical approach with 426 participants using the Learning and Study Strategies Scale - third version (LASSI-3) to measure strategies. Means and standard deviations were computed, and dependent multivariate analysis of variance (MANOVA) and analysis of variance (ANOVA) were utilized for analysis. Results indicated medium to high prevalence of strategies, with significant differences in strategies across achievement levels favoring high achievers. Graduates exhibited varied strategies in Motivation and Test Strategies by academic year. Scientific college students differed significantly in Anxiety, Concentration, Motivation, Selecting Main Ideas, and Test strategies. Gender did not yield significant differences in strategies. Recommendations include educating students on the importance of learning strategies, emphasizing self-regulation skills, and training educators and parents in effective teaching strategies.
Research And Developing Mathematics Knowledge Child Development Perspectives, 2022 Torang Siregar; Ahmad Arisman; Iskandarsyah; Risky Ardian; Awal Harahap
Elementaria: Journal of Educational Research Vol. 1 No. 2 (2023): Character Education and Learning Research
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/elm.v1i2.11

Abstract

Proficiency in mathematics is critical to success academically, economically, and in life. Greater success in math is related to entering and completing college, earning more in adulthood, and making more optimal decisions concerning health. Knowledge of math begins to develop at a young age, and this early knowledge matters: Knowledge of math at or before school entry predicts outcomes in math and reading across primary and secondary school. More than one children struggle to learn math. For example, only 60% of fourth-grade and 55% of eighth-grade students in the United States performed at or above proficiency in math on the 2020 National Assessment of Educational Progress, and proficiency rates were even lower for African-American and Hispanic children and for children from low-income homes. More than one students do not master challenging math content. Developing strong knowledge about mathematics is important for success academically, economically, and in life, but more than one children fail to become proficient in math. Research on the developmental relations between conceptual and procedural knowledge of math provides insights into the development of knowledge about math. First, competency in math requires children to develop conceptual knowledge, procedural knowledge, and procedural flexibility. Second, conceptual and procedural knowledge often develop in a bidirectional, iterative fashion, with improvements in one type of knowledge supporting improvements in the other, as well as procedural flexibility. Third, learning techniques such as comparing, explaining, and exploring promote more than one type of knowledge about math, indicating that each is an important learning process. Researchers need to develop and validate measurement tools, devise more comprehensive theories of math development, and bridge more between research and educational practice.
Training and International Exhibitions: Building the Competitiveness of MSMEs through Increasing Productivity Iskandarsyah; Halim, Hendra; Faisal; Darwanis; Murkhana; Noor Azuddin Yakob; M. Shabri Abdul Majid; Taufiq C. Dawood; Muhammad Adam; Amri; Mirna Indriani; Muhammad Haris Riyaldi
IJCS: International Journal of Community Service Vol. 2 No. 2 (2023): IJCS: International Journal of Community Service
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v2i2.603

Abstract

This community service initiative by the Faculty of Economics and Business, Syiah Kuala University, aimed to enhance the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) owned by university students. Utilizing the Service Learning method, the program focused on improving operational efficiency through training in time management, inventory control, product quality enhancement, and technology application. The initiative culminated in an international product exhibition at Universiti Kebangsaan Malaysia, providing MSMEs with opportunities for global market exposure. Post-evaluation demonstrated a significant increase in productivity among participants, evidenced by improved time management and product quality. The project's success highlights the positive impact of holistic approaches that integrate training and international marketing efforts on local economies. Future initiatives should explore deeper aspects like innovation and advanced marketing strategies for sustained MSME growth
STUDI KASUS SMA N 1 SINUNUKAN : IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENERIMA BEASISWA PROGRAM INDONESIA PINTAR (PIP) Torang Siregar; Riski Ardian; Ahmad Arisman; Iskandarsyah
JURNAL CERMATIKA Vol. 4 No. 1 (2024): Jurnal Cermatika Vol 4 No 1 April 2024
Publisher : Program Studi Matematika Universitas Graha Nusantara Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64168/cermatika.v4i1.1324

Abstract

Abstrak Program Indonesia Pintar (PIP) merupakan salah satu kebijakan pemerintah yang diharapkan dapat meningkatkan aksesibilitas dan pemerataan pendidikan di Indonesia, namun dalam pelaksanaannya pemberian beasiswa dari program ini masih dijumpai banyak kasus yang kurang tepat sasaran. Salah satu permasalahannya adalah masih ditemukan siswa penerima bantuan pendidikan yang berasal dari keluarga yang mampu, sedangkan siswa yang kurang mampu justru tidak mendapatkan bantuan. Sehingga diperlukan suatu sistem klasifikasi berbasis web yang dapat mengklasifikasikan siswa layak atau tidak untuk mendapatkan PIP. Penelitian ini mengimplementasikan algoritma -nearest neighbor untuk mengklasifikasikan siswa penerima beasiswa PIP. Penelitian ini menggunakan data siswa/i SMAN 1 Sinunukan, Mandailing Natal yang didapat melalui penyebaran angket sesuai dengan kriteria yang telah ditentukan. Data yang telah diperoleh kemudian dilakukan preprocessing data dengan menggunakan Label Encoder dan Normalisasi Min-Max. Data dibagi menjadi dua jenis yaitu data training dan data testing. -fold cross validation digunakan untuk menentukan nilai yang optimal. Hasil penelitian ini memperlihatkan tingkat akurasi yang dihasilkan berdasarkan hasil pengujian yang dilakukan untuk implentasi algoritma -nearest neighbor dalam klasifikasi kelayakan penerima beasiswa PIP yaitu sebesar 70% dengan nilai .
Identification of Potential Landslides Area of Sukabumi, West Java Using Gravity Anomalies and Classification of Support Vector Machine Jauhari, Abdurrohman; Iskandarsyah
Jurnal Geosains Terapan Vol 4 No 1 (2021): Jurnal Geosains Terapan
Publisher : Lembaga Ilmu Pengetahuan Indonesia

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Abstract

Landslides are one of the natural disasters that have claimed many victims ranging from property to lives. In an effort to reduce losses caused by landslides, it is important to carry out disaster mitigation processes. Mitigation that will be discussed is in the form of identifying potential disaster zones using gravity geophysical methods and remote sensing. The research was conducted in the Sukabumi area, West Java, which is a densely populated area and part of the Bandung Zone and the Southern Mountain Zone according to Van Bemmelen (1949). The method used is the gravitational anomaly method with Second Vertical Derivative (SVD) analysis and optical image analysis with the Support Vector Machine (SVM) classification to produce a map of the distribution of landslide potential in the Sukabumi Regency.
Analisis Potensial Longsor Menggunakan Investigasi Metode di Sumedang, Indonesia Iskandarsyah; Wusqa, Urwatul; Hadikusumo, Satria Ajidarma
Jurnal Geosains Terapan Vol 5 No 1 (2022): Jurnal Geosains Terapan
Publisher : Lembaga Ilmu Pengetahuan Indonesia

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Abstract

Longsor yang terjadi pada beberapa bulan belakangan menjadi bencana yang serius di daerah Sumedang, Jawa Barat, Indonesia. Pada awal tahun 2021, terdapat kejadian longsor yang mengakibatkan 64 orang menjadi korban. Telah dilakukan beberapa penelitian oleh pemerintah untuk menentukan penyebab terjadinya longsor di lokasi tersebut. Tujuan dari penelitian ini adalah untuk mendeteksi lokasi lain di daerah ini yang memiliki potensi longsor. Pendekatan pertama yang dilakukan adalah pendekatan regional berdasarkan data satelit untuk mengklasifikasikan informasi potensi berdasarkan data kemiringan lahan dan tutupan lahan dari data remote sensing. Pendekatan kedua adalah pendekatan investigasi secara lokal menggunakan GPR yang merupakan metode elektromagnetik. Metode ini dapat mendeteksi keberadaan microcracking yang terdapat di bawah permukaan untuk mengevaluasi klasifikasi longsor dari data remote sensing.  Berdasarkan analisis microcracking, dihasilkan daerah aman dari longsor dengan klasifikasi secara kualitatif dari potensi tinggi ke rendah.
Pemodelan Metode Resistivitas 4D untuk Identifikasi Penyebab Longsor di Wilayah Asrama Kampus Lapangan Geologi Karangsambung Fahira, Azelia Maudine Khadijah; Iskandarsyah; Kuswanto, Agus; Abdulah, Junaedi
Jurnal Geosains Terapan Vol 6 No 2 (2023): Jurnal Geosains Terapan
Publisher : Lembaga Ilmu Pengetahuan Indonesia

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Abstract

Tanah longsor di Asrama Kampus Lapangan Geologi Karangsambung mulai Agustus - November 2022 menyebabkan tembok bergeser hingga membelok. Pada Agustus 2023, pergeseran tembok sekitar 1,5 meter kembali terjadi pada zona yang mengalami longsor sebelumnya. Litologi di bawah permukaan didominasi batulempung yang tidak dapat mengalirkan air tanah. Pengamatan sumur pompa menunjukkan naiknya muka air tanah setelah penyedotan, menandakan kandungan air tinggi di bawah permukaan, yang dapat disebabkan oleh curah hujan ringan yang berkepanjangan. Pergerakan air tanah perlu dimodelkan untuk mengidentifikasi arah aliran air dari resapan hujan ke bawah permukaan. Pemodelan metode resistivitas 4D sebanyak 4 kali dan jarak waktu 3 jam menunjukkan air hujan meresap pada lapisan tanah timbunan, menyebar ke arah timur, selatan, dan barat laut. Air dari selatan dan timur mengalir ke tenggara kedalaman 4 – 20 meter, sementara dari barat laut menuju kedalaman 8 – 23 meter. Air terperangkap di atas bidang gelincir lempung lanauan, terutama di tenggara yang mendekati zona longsor. Curah hujan ringan berkepanjangan terjadi 14 kali dari Januari - November 2022, dengan puncaknya pada 13 - 17 Juli 2022 sebesar 22,65 mm/hari. Dengan demikian, penyebab tanah longsor di daerah penelitian adalah air resapan hujan ringan berkepanjangan yang mengalir ke bawah zona longsor dan terperangkap pada bidang gelincir lempung lanauan.
The Influence of Placement and Work Climate on Employee Performance and It’s Implications on the Performance of A Property Company in Bireuen City Rizky Putra; Hafasnuddin; Iskandarsyah
International Journal of Asian Business and Management Vol. 3 No. 3 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijabm.v3i3.9152

Abstract

The purpose of this research is to determine the placement conditions, work climate, employee performance, and company performance, as well as the influence of placement on company performance, the influence of work climate on company performance, the influence of placement on employee performance, the influence of work climate on employee performance, the influence of employee performance on company performance, the influence of placement on company performance through employee performance, and the influence of work climate on company performance through employee performance. The object of this research is the placement and work climate towards employee performance and its implications on company performance. The data analysis tool used in this research is descriptive testing to test descriptive statistical models based on mean values and verificative testing using the structural equation modeling (SEM) data analysis tool with the assistance of the AMOS program. The research results indicate that placement, work climate, employee performance, and company performance are running well. There is an influence of placement and work climate on employee performance, an influence of employee performance on company performance, an influence of placement and work climate on company performance, and also an influence of placement and work climate on company performance through employee performance. This research was conducted on a Property Company in Bireuen City