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Mengkuantifikasi Trade-off Biaya-Kualitas dalam Autoscaling Kubernetes Berbasis Reinforcement Learning Rohmat, Rohmat; Hery Purnomo, Mauridhi; Artwodini Muqtadiroh, Feby
Jurnal Impresi Indonesia Vol. 5 No. 2 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i2.7527

Abstract

Penelitian autoscaling Kubernetes berbasis reinforcement learning saat ini kurang memiliki evaluasi statistik yang ketat, dengan sebagian besar hanya mengandalkan eksperimen skenario tunggal yang tidak dapat membedakan keunggulan algoritmik yang sebenarnya dari variasi acak. Kesenjangan metodologis ini melemahkan validitas dan reprodusibilitas peningkatan kinerja yang dilaporkan dalam literatur manajemen sumber daya cloud. Studi ini mengembangkan kerangka evaluasi berbasis simulasi yang kuat secara statistik untuk membandingkan secara ketat algoritma autoscaling reinforcement learning terhadap Horizontal Pod Autoscaler (HPA) Kubernetes standar, membangun metodologi benchmarking yang dapat direproduksi dengan pengujian signifikansi statistik yang tepat dan kuantifikasi ukuran efek. Sebuah simulator kejadian diskrit Python yang mengemulasi komponen control-plane Kubernetes (Metrics Server, Controller Manager, Scheduler) dengan dinamika siklus hidup pod yang realistis telah dikembangkan. Autoscaler Hybrid DQN-PPO dan HPA dievaluasi menggunakan desain eksperimen berpasangan di 30 skenario lalu lintas sintetis independen selama 24 jam. Analisis statistik menggunakan uji normalitas Shapiro-Wilk, koreksi Holm-Bonferroni untuk perbandingan berganda, ukuran efek Cohen’s d, dan interval kepercayaan bootstrap. Hasil mengungkapkan trade-off fundamental antara biaya dan kualitas: Hybrid DQN-PPO mencapai kualitas layanan superior dengan 60,58% lebih sedikit pelanggaran SLA, 19,61% lebih cepat latensi P95, dan 4,83% lebih cepat waktu respons rata-rata (semua p < 0, 001). Namun, peningkatan kualitas ini memerlukan premi biaya 8,92% ($6,87 per skenario) dibandingkan dengan HPA, yang mempertahankan utilisasi CPU 7,96% lebih tinggi melalui efisiensi sumber daya yang agresif (p < 0, 001). Perbedaan kinerja berasal dari strategi kontrol yang sangat berbeda: HPA menggunakan kontrol reaktif (menunggu pelanggaran sebelum scaling), mengoptimalkan biaya; Hybrid menggunakan kontrol prediktif (mencegah pelanggaran secara proaktif).
Intelligent multi-model system for surface roughness prediction in CNC turning of multiple materials Rohmat, Rohmat; Aryntya Firia Ferlania, Dianda; Frediansah Mukminin, Donni
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8185

Abstract

Surface roughness is a critical indicator of machining quality that directly affects product performance and service life. However, most existing prediction studies focus on single-material machining and rely on a single predictive model, limiting their effectiveness in real industrial environments where multiple materials are commonly processed. To address this gap, this study proposes an intelligent multimodel system for surface roughness prediction in CNC turning of multiple materials. The experimental investigation was carried out using two commonly applied steels, ST41 and S45C, with 81 machining trials performed for each material. Vibration signals were recorded using a three-axis accelerometer and combined with machining parameters consisting of feed rate, spindle speed, and depth of cut. The acquired signals were analyzed in both time and frequency domains through Fourier transformation, resulting in the extraction of eighteen vibration-related features that were normalized and used as model inputs. Three prediction techniques, namely Multiple Linear Regression, Support Vector Regression, and Artificial Neural Networks, were developed and integrated within the proposed system. System performance was evaluated using Mean Absolute Percentage Error (MAPE) and statistically analyzed through one-way ANOVA and Tukey post-hoc tests. The results demonstrate that the ANN model consistently achieved the highest prediction accuracy, with MAPE values of 2.81% for S45C, 4.72% for ST41, and 4.42% for the combined-material dataset, outperforming the Regression and SVR models. These results confirm that the proposed intelligent multimodel system provides a robust, accurate, and practical solution for vibration-based surface roughness prediction in CNC turning of multiple materials.
The Influence Of Islamic Parenting Patterns and Parents Religious Understanding On Children’s Spiritual Intelligence In Muslim Families In Metro City Rohmat, Rohmat; Yusuf, Muhammad; Fathurrohman, Amang; Choirudin, Choirudin
Assyfa Journal of Islamic Studies Vol. 2 No. 2 (2024): Assyfa Journal of Islamic Studies (December)
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/ajis.v2i2.628

Abstract

Islamic parenting faces significant challenges in the modern context, especially with the influence of technology that can divert children's attention from religious practices. This study aims to explore the influence of Islamic parenting and parental religious understanding on the spiritual intelligence of children in Muslim families in Metro City. The method used is quantitative, with the population being Muslim parents who have children aged 5-9 years. The sampling technique used is proportional stratified random sampling, with a total sample of 100 individuals. Data were collected through questionnaires and analyzed using multiple linear regression. The results of the study show that Islamic parenting has a significant effect on children's spiritual intelligence. This study also found that parents' religious understanding significantly contributes to the development of children's spiritual intelligence. Regression analysis results indicate that Islamic parenting and religious understanding together positively influence children's spiritual intelligence, with the regression equation ȳ = 23.576 + 0.223X1 + 0.452X2.
Kepemimpinan Partisipatif Kepala Sekolah: Mendorong Keterlibatan Guru Dan Siswa Dalam Pengambilan Keputusan Amri, Ulil; Taufiqurrohman, Taufiqurrohman; Rohmat, Rohmat; Rozak, Khozani; Andrianto, Erwin; Saputra, Rio Angga; Fathoni, Tamrin
Social Science Academic Vol. 3 No. 1 (2025)
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/ssa.v2i2.6310

Abstract

Leadership in the educational environment plays a very important role in creating a conducive learning atmosphere. As with participatory leadership, the role of the school principal is not only as a decision-maker but also as a facilitator who encourages the participation of teachers and students. This approach is expected to promote the involvement of all parties in the decision-making process related to education. Teacher involvement is a key element in creating an effective learning environment. In addition to teachers, student involvement is also very important in making decisions related to school policies.The method used in this article is a literature study, which is a data collection approach by reviewing and understanding theories from various literature sources relevant to the research topic. Data collection is done by searching for and constructing information from various sources, such as books, journals, and previous research.The role of the principal in making and taking decisions, with responsibility for results that align with the issues at hand, and the involvement of teachers in decision-making, has a significant impact on improving teacher quality, such as mastery of subject matter and teaching techniques, as well as from the aspects of morale, work ethics, and motivation in carrying out their duties and responsibilities. Additionally, involving students in decision-making allows them to think critically and analytically. This participatory leadership is very important for the principal in the decision-making process because it involves teachers and students, thereby forming a shared goal that creates a conducive and comfortable learning environment.
Co-Authors A.A. Ketut Agung Cahyawan W Abdullah, Ishlahuddin Adeoye, Moses Adeleke Adi, Handaru Indrian Sasmito Agus Sutiyono Agustina Nurhayati Ahra, Muhammad Haikal Amang Fathurrohman Anwar, Syaeful Artwodini Muqtadiroh, Feby Aryntya Firia Ferlania, Dianda Ashtaputre, Shrirang AYU NINGSIH Choirudin, Choirudin Dadang S Anshori Dewi, Intan Karunia Djoko Prakosa Dyah Nugraheni, Prasasti Encep Kusumah Erwin Andrianto Fikriawan, Suad Firia Ferlania, Dianda Aryntya Flora Ramona Sigit Prakoeswa Frediansah Mukminin, Donni Ghiffari, Faisal Hendra Purwanto Henny Sri Astuty Hidayat Hidayat Hidayat, Ahmad Wahyu Holish, Amarru Muftie Ida Faridatul Hasanah Isah Cahyani Jamhari, Said Kholid Mawardi Kurniawan, Nurkholis Lina Alfiyani Ma’arifah, Amaliya Miftahul Makhrudy, Khoirul Aman Mauridhi Hery Purnomo Miftahul Ulum Milda Istiqomah Mista, Hunaidah Mohamad Jamhari Muhammad Khoirul Malik Muhammad Nanang Qosim Muhammad Yusuf Mulyono, Didik Noor Alis Setiyadi NORIDA CANDA SAKTI Nunung Sitaresmi Nurini Aprilianda Perdana, Muhammad Nabhan Putri, Nanda Anggelina Rara Novika Rahmadhini Rio Achmad Nugroho Rizqa Ahmadi, Rizqa Rizqi, Mohammad Fathur Rozak, Khozani Rufaidah, Anik Sair, Shrafat Ali Saputra, Rio Angga Sholeh, Idris Malikus Siti Zulaikhah Smith, Robert Brian Sri Nurhayati Sugiono, Didik Sukatin, Sukatin Sulistyaningsih, Lilis Siti Sumaji, Muhammad Anis Susi Nurkholidah Suwarno Suwarno Syariefuddin, Iqbal Syarifudin, Iqbal Tamrin Fathoni Taufiqurrohman Taufiqurrohman Tri Rijanto Uzliawati , Lia Waspodo Tjipto Subroto Wei, David Chuah Cee Wibowo, Gita Vallenti Yahya, Layyina Elwirda Yakob, Asmirati Yayat Suharyat