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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Journal Industrial Servicess Jurnal Teknologi Proses dan Inovasi Industri Jurnal Teknologi Proses dan Inovasi Industri Jurnal Sistem dan Manajemen Industri Journal of Economic, Bussines and Accounting (COSTING) JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK INTECOMS: Journal of Information Technology and Computer Science Jurnal Serambi Engineering JOURNAL OF SCIENCE AND SOCIAL RESEARCH STRING (Satuan Tulisan Riset dan Inovasi Teknologi) SIGMA TEKNIKA jurnal syntax admiration JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Jurnal Ilmiah Wahana Pendidikan Go-Integratif : Jurnal Teknik Sistem dan Industri Journal of Integrated System KREATIF: Jurnal Pengabdian Masyarakat Sains dan Teknologi
Winarno Winarno
Program Studi Teknik Industri, Fakultas Teknik, Universitas Singaperbangsa Karawang
Religion Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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ANALISA PERBANDINGAN METODE SIMULATED ANNEALING DAN LARGE NEIGHBORHOOD SEARCH UNTUK MEMECAHKAN MASALAH LOKASI DAN RUTE KENDARAAN DUA ESELON Winarno (Universitas Singaperbangsa Karawang); A. A. N. Perwira Redi (Universitas Pertamina)
Jurnal Manajemen Industri dan Logistik Vol. 4 No. 1 (2020): page 84 - 95
Publisher : Politeknik APP Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30988/jmil.v4i1.311

Abstract

AbstractTwo-echelon location routing problem (2E-LRP) is a problem that considers distribution problem in a two-level / echelon transport system. The first echelon considers trips from a main depot to a set of selected satellite. The second echelon considers routes to serve customers from the selected satellite. This study proposes two metaheuristics algorithms to solve 2E-LRP: Simulated Annealing (SA) and Large Neighborhood Search (LNS) heuristics. The neighborhood / operator moves of both algorithms are modified specifically to solve 2E-LRP. The proposed SA uses swap, insert, and reverse operators. Meanwhile the proposed LNS uses four destructive operator (random route removal, worst removal, route removal, related node removal, not related node removal) and two constructive operator (greedy insertion and modived greedy insertion). Previously known dataset is used to test the performance of the both algorithms. Numerical experiment results show that SA performs better than LNS. The objective function value for SA and LNS are 176.125 and 181.478, respectively. Besides, the average computational time of SA and LNS are 119.02s and 352.17s, respectively.AbstrakPermasalahan penentuan lokasi fasilitas sekaligus rute kendaraan dengan mempertimbangkan sistem transportasi dua eselon juga dikenal dengan two-echelon location routing problem (2E-LRP) atau masalah lokasi dan rute kendaraan dua eselon (MLRKDE). Pada eselon pertama keputusan yang perlu diambil adalah penentuan lokasi fasilitas (diistilahkan satelit) dan rute kendaraan dari depo ke lokasi satelit terpilih. Pada eselon kedua dilakukan penentuan rute kendaraan dari satelit ke masing-masing pelanggan mempertimbangan jumlah permintaan dan kapasitas kendaraan. Dalam penelitian ini dikembangkan dua algoritma metaheuristik yaitu Simulated Annealing (SA) dan Large Neighborhood Search (LNS). Operator yang digunakan kedua algoritma tersebut didesain khusus untuk permasalahan MLRKDE. Algoritma SA menggunakan operator swap, insert, dan reverse. Algoritma LNS menggunakan operator perusakan (random route removal, worst removal, route removal, related node removal, dan not related node removal) dan perbaikan (greedy insertion dan modified greedy insertion). Benchmark data dari penelitian sebelumnya digunakan untuk menguji performa kedua algoritma tersebut. Hasil eksperimen menunjukkan bahwa performa algoritma SA lebih baik daripada LNS. Rata-rata nilai fungsi objektif dari SA dan LNS adalah 176.125 dan 181.478. Waktu rata-rata komputasi algoritma SA and LNS pada permasalahan ini adalah 119.02 dan 352.17 detik.
PENGARUH OPTIMALISASI SELF-REGULATED LEARNING TERHADAP KINERJA AKADEMIK MAHASISWA DALAM PEMBELAJARAN DARING Naufal Fathan; Winarno Winarno; Fahriza Nurul Azizah; Iin Kurnia
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.v8i3.3816

Abstract

Abstract: This study aims to analyze the effect of optimizing self-regulated learning (SRL) on students’ academic performance in online learning. The development of online learning systems following the COVID-19 pandemic has posed new challenges for students, such as low learning motivation, limited engagement, and difficulties in time management. Optimizing SRL is considered a key strategy to overcome these issues. This research uses a quantitative approach with a correlational survey design. Data were obtained from a standardized and validated SRL questionnaire, along with students' Grade Point Average (GPA) as an indicator of academic performance. The data were analyzed using Pearson correlation with the assistance of SPSS Statistics 23. The results show a significant positive relationship between optimized SRL and students’ academic performance. The higher the students’ SRL level, the better their academic performance in online learning. These findings highlight that optimizing SRL can be a crucial strategy to enhance students' academic success in online learning environments at the university level. Keyword: Self-regulated learning, online learning, academic performance, university students, Pearson correlation. Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh optimalisasi self-regulated learning (SRL) terhadap kinerja akademik mahasiswa dalam pembelajaran daring. Perkembangan sistem pembelajaran daring setelah pandemi COVID-19 menghadirkan tantangan baru bagi mahasiswa, seperti rendahnya motivasi belajar, keterlibatan yang minim, serta kesulitan dalam pengelolaan waktu. Optimalisasi SRL dipandang sebagai salah satu strategi untuk mengatasi permasalahan tersebut. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei korelasional. Data diperoleh melalui kuesioner SRL yang telah terstandarisasi dan tervalidasi, serta data Indeks Prestasi Semester (IPS) mahasiswa sebagai indikator kinerja akademik. Analisis dilakukan menggunakan uji korelasi Pearson dengan bantuan perangkat lunak SPSS Statistics 23. Hasil penelitian menunjukkan adanya hubungan positif yang signifikan antara tingkat optimalisasi SRL dan kinerja akademik mahasiswa. Semakin tinggi tingkat SRL mahasiswa, semakin baik pula kinerja akademiknya dalam pembelajaran daring. Temuan ini menegaskan bahwa optimalisasi SRL dapat menjadi strategi penting untuk meningkatkan keberhasilan akademik mahasiswa dalam konteks pembelajaran daring di perguruan tinggi. Kata kunci: Self-regulated learning, pembelajaran daring, kinerja akademik, mahasiswa, korelasi Pearson.
Edukasi Pemilahan Sampah Sebagai Upaya Menjaga Kebersihan Lingkungan Di SDN Rengasdengklok Selatan 3 Fahmi Abdu Rafi; Falsha Satria Dwiputra; Sri Septiani; Lydia Maulani; Ferry Adimas Ristansyah; Aldi Dena Kusumah; Wahyudin Wahyudin; Winarno Winarno; Rana Ardila Rahma; Risma Fitriani
KREATIF: Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol 1 No 2 (2023): KREATIF
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/kreatif.v1i2.10241

Abstract

To achieve environmental cleanliness, high awareness of cleanliness and health is required. In terms of keeping the environment clean, one very serious problem is a lack of understanding about the waste problem. This problem can be overcome through an educational approach that provides an understanding of various types of waste, both organic and inorganic waste. Efforts to maintain the cleanliness of the surrounding environment must start from an early age. Therefore, this community service activity was carried out to provide education about waste sorting to students at SDN Rengasdengklok Selatan 3 located in Karawang. The purpose of this activity is to increase students' understanding and awareness of the consequences of environmental pollution arising from waste disposal. This activity is carried out with a holistic approach using two main stages, namely socialization and direct practical activities. Through this community service activity, students can not only increase their understanding and awareness of the impacts of waste, but also gain knowledge about the types of waste and the correct way to sort waste.
Co-Authors A. A. N. Perwira Redi (Universitas Pertamina) Aditya Fajar Nugraha Adji Chandra Kurniawan Agung Dwi Kurniawan Agustian Suseno Aldi Dena Kusumah Anak Agung Ngurah Agung Redioka Anak Agung Ngurah Perwira Redi Anisa Azzahra Aulia Fashanah Hadining Bagus Sajiwo Eva Fauziah Fahmi Abdu Rafi Fahriza Nurul Azizah Fahriza Nurul Azizah Falsha Satria Dwiputra Farhan Zaidan Nugraha Farid Ramdhan Nugraha Felix Yohannes Panjaitan Ferry Adimas Ristansyah Fitriana Fitriana Iin Kurnia Liana Liana Lydia Maulani Maulana Alfin Faiz Muhaimin Albar Mukhammad Azhari Isfirory Naufal Fathan Nourma Lista Revanda Nugraha, Asep Erik Nur Aldien Ramadhania Rafael Falmarum Rana Ardila Rahma Revikhasa Hilal Kunuzi Ridwan Riyadi Risma Fitriani Rizki Achmad Darajatun Roland Ross Faina Flame Shania Viera Agnezia Sintia Basliana Sri Septiani Theodora Edita Sari Theodora Edita Sari Wahyudin Wahyudin Wilson Parulian Simatupang Zahra Nursyahbani Zidane Khulud Kautsar