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Interpretasi Global Hadis Rukyat Hilal Rusmin, Pranoto Hidaya; Rohman, Arief Syaichu; Herdiwijaya, Dhani; Khaerani, Izzah Faizah Siti Rusydati; Pahlevi, Reza; Darmawan, Dadang
Mutawatir : Jurnal Keilmuan Tafsir Hadith Vol 7 No 1 (2017): JUNI
Publisher : Program Studi Perbandingan Agama, Fakultas Ushuluddin dan Filsafat, Universitas Islam Negeri (UIN) Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.584 KB) | DOI: 10.15642/mutawatir.2017.7.1.50-75

Abstract

Before Islamic Calendar begins, Muslims were used to wait for the earliest visible crescent (hilâl), which marks the beginning of Ramadan. The determination of the beginning of Ramadan is based on the rukyat al-hilâl hadith. Because the hilâl visibility on the earth surface is not the same, it results the differences on the beginning of Ramadan fasting. In addition, the sighting hilâl method can only determine the next 29 days, it cannot reach for the next month and even for the next year. These are the main reasons for re-interpretation of the rukyat al-hilâl hadith from global perspective. From this study, it is found that the context in the Qur’an, related to the Ramadan fasting, is fasting in one full month, 29 or 30 days, according to the duration of the lunar synodic cycle. However, the condition of the people and the science at that time has not developed yet, which is the cause of calculation (h}isâb) verses in the Qur’an cannot be used. When they have developed, the calculation verses in the Qur’an can be used to determine the number of days in a calendar month. This will produce a global calendar for mankind.
INTERPRETASI GLOBAL HADIS RUKYAT HILAL Rusmin, Pranoto Hidaya; Rohman, Arief Syaichu; Herdiwijaya, Dhani; Khaerani, Izzah Faizah Siti Rusydati; Pahlevi, Reza; Darmawan, Dadang
Mutawatir : Jurnal Keilmuan Tafsir Hadith Vol. 7 No. 1 (2017): JUNI
Publisher : Program Studi Perbandingan Agama, Fakultas Ushuluddin dan Filsafat, Universitas Islam Negeri (UIN) Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.584 KB) | DOI: 10.15642/mutawatir.2017.7.1.50-75

Abstract

Before Islamic Calendar begins, Muslims were used to wait for the earliest visible crescent (hilâl), which marks the beginning of Ramadan. The determination of the beginning of Ramadan is based on the rukyat al-hilâl hadith. Because the hilâl visibility on the earth surface is not the same, it results the differences on the beginning of Ramadan fasting. In addition, the sighting hilâl method can only determine the next 29 days, it cannot reach for the next month and even for the next year. These are the main reasons for re-interpretation of the rukyat al-hilâl hadith from global perspective. From this study, it is found that the context in the Qur?an, related to the Ramadan fasting, is fasting in one full month, 29 or 30 days, according to the duration of the lunar synodic cycle. However, the condition of the people and the science at that time has not developed yet, which is the cause of calculation (h}isâb) verses in the Qur?an cannot be used. When they have developed, the calculation verses in the Qur?an can be used to determine the number of days in a calendar month. This will produce a global calendar for mankind.
Robust PID Control Design in CPS-based Batch Distillation Column Wirenda Sekar Ayu; Pranoto Hidaya Rusmin; Egi M. I. Hidayat
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1999

Abstract

Interconnected system between computationand physical process (Cyber-Physical Systems) has been widelyused in industrial processes. In CPS-based industrial process,sensors, controllers, and actuators are connected into acommunication network. The communication network mayintroduce delay time uncertainties due to shared resources andload traffic in the network. Furthermore, the nonlinear timevaryingcharacteristic of batch distillation column may causesanother uncertainties to take into account in control systemdesign. Parameter model and delay process uncertainty isintroduced due to linearized system approximation thatunmodeled high-frequency dynamics. The dynamicuncertainty on both I/O channel are also introduced to thesystem uncertainty. In this paper, robust PI and PID controllerusing AMIGO method with appropriate weighting function isdesigned to guarantee robust stability spesification of batchdistillation column. The impact of system uncertainties toclosed-loop system performances such as peak overshoot andintegral error is investigated. MATLAB/Simulink simulationis used to validate the methods before its implementation inCPS-based batch distillation column. Based on simulation, theproposed robust PI/PID controller can guarantee robuststability of system compared to conventional PID controller.Furthermore, the robust PI/PID controller can improve closedloopsystem performances compared to conventional PID.
Klasifikasi Wazan pada Kata-Kata Al Qur’an Menggunakan Natural Language Processing Ira Puspasari; Pranoto Hidaya Rusmin
Journal of Technology and Informatics (JoTI) Vol. 3 No. 2 (2022): Vol.3 No.2 (2022)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.298 KB) | DOI: 10.37802/joti.v3i2.224

Abstract

Pengolahan bahasa Arab merupakan pengembangan teknik yang dapat digunakan untuk menganalisis bahasa Arab dalam konteks tertulis dan lisan. Natural Language Processing (NLP) memberikan kontribusi terhadap banyak sistem yang dikembangkan. Saat ini NLP telah dikembangkan dengan menggunakan teknik Machine Learning (ML). Algoritma ML banyak digunakan dalam NLP karena akurasinya yang tinggi. Penelitian ini membahas review penelitian pada kajian morfologi dalam Al Qur’an serta hubungannya dengan penerapan bidang komputasi sekarang, Natural Language Processing (NLP), klasifikasi wazan menggunakan NLP dengan beberapa tahapannya, termasuk pre-processing dan ekstraksi fitur. Penelitian ini menguji pola pemrosesan klasifikasi wazan menggunakan NLP dengan tahapan proses tokenization dan Term Frequency Inverse Document Frequency (TD-IDF). Hasil evaluasi model menghasilkan angka “1” untuk nilai precision, recall, F1-score, dan akurasi. Hal ini mengartikan bahwa program mampu mengklasifikasi secara tepat kata dalam pola wazan يَفْعُلُ dari pengujian sebanyak 30 data.
Interpretasi Global Hadis Rukyat Hilal Pranoto Hidaya Rusmin; Arief Syaichu Rohman; Dhani Herdiwijaya; Izzah Faizah Siti Rusydati Khaerani; Reza Pahlevi; Dadang Darmawan
Mutawatir : Jurnal Keilmuan Tafsir Hadith Vol. 7 No. 1 (2017): JUNI
Publisher : Jurusan Tafsir Hadis Fakultas Ushuluddin dan Filsafat UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.584 KB) | DOI: 10.15642/mutawatir.2017.7.1.105-139

Abstract

Before Islamic Calendar begins, Muslims were used to wait for the earliest visible crescent (hilâl), which marks the beginning of Ramadan. The determination of the beginning of Ramadan is based on the rukyat al-hilâl hadith. Because the hilâl visibility on the earth surface is not the same, it results the differences on the beginning of Ramadan fasting. In addition, the sighting hilâl method can only determine the next 29 days, it cannot reach for the next month and even for the next year. These are the main reasons for re-interpretation of the rukyat al-hilâl hadith from global perspective. From this study, it is found that the context in the Qur’an, related to the Ramadan fasting, is fasting in one full month, 29 or 30 days, according to the duration of the lunar synodic cycle. However, the condition of the people and the science at that time has not developed yet, which is the cause of calculation (h}isâb) verses in the Qur’an cannot be used. When they have developed, the calculation verses in the Qur’an can be used to determine the number of days in a calendar month. This will produce a global calendar for mankind.
Internet Congestion Control System Rusmin, Pranoto Hidaya; Machbub, Carmadi; Harsoyo, Agung; Hendrawan, Hendrawan
Makara Journal of Technology Vol. 12, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Internet Congestion Control System. Internet congestion occurs when resource demands exceeds the network capacity. But, it is not the only reason. Congestion can happen on some users because some others user has higher sending rate. Then some users with lower sending rate will experience congestion. This partial congestion is caused by inexactly feedback. At this moment congestion are solved by the involvement of two controlling mechanisms. These mechanisms are flow/congestion control in the TCP source and Active Queue Management (AQM) in the router. AQM will provide feedback to the source a kind of indication for the occurrence of the congestion in the router, whereas the source will adapt the sending rate appropriate with the feedback. These mechanisms are not enough to solve internet congestion problem completely. Therefore, this paper will explain internet congestion causes, weakness, and congestion control technique that researchers have been developed. To describe congestion system mechanisms and responses, the system will be simulated by Matlab.
Dynamic model and control strategies of battery-supercapacitor hybrid power sources for electric vehicles: a review Al Tahtawi, Adnan Rafi; Rohman, Arief Syaichu; Rusmin, Pranoto Hidaya; Rizqiawan, Arwindra
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp695-709

Abstract

The addition of a supercapacitor to electric vehicles is considered beneficial for extending battery lifetime. Due to its higher power density compared to the battery, a supercapacitor can efficiently handle sudden high-current demands. However, to achieve energy efficiency, a specific control strategy is required for this battery-supercapacitor (Batt-SC) hybrid power source (HPS). This paper reviews the dynamic model of the Batt-SC as HPS for electric vehicles and explores its various control strategies in order to achieve energy efficiency. A high-fidelity model, a control-oriented model, and an integrated dynamic model are presented. Various control strategies are then discussed, including high-level control, low-level control, and DC bus voltage regulation. This paper also identifies several key research opportunities, such as developing an integrated dynamic model of a hybrid Batt-SC electric vehicle, combining high-level and low-level control into a unified control strategy, and designing an optimal-adaptive controller that can minimize a certain performance index by considering nonlinearity factors.
IDENTIFIKASI SISTEM BERBASIS DATA KE DALAM MODEL NARX-FNN DENGAN EXTENDED KALMAN FILTER DALAM KONDISI PENGUKURAN YANG NOISY UNTUK SISTEM KOLOM DISTILASI Nasution, Muhammad Alifsyah Putra; Mahayana, Dimitri; Rusmin, Pranoto Hidaya; Amalia, Hayati; Zidni, Hasan
Instrumentasi Vol 48, No 1 (2024)
Publisher : National Standardization Agency of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/instrumentasi.v48i1.625

Abstract

Pada penelitian ini, digunakan plant sistem kolom distilasi tipe batch untuk memisahkan larutan biner campuran etanol dan air. Agar dapat mengimplementasikan skema sistem kendali, diperlukan pemodelan sistem kolom distilasi. Namun, masalahnya plant sistem kolom distilasi tersebut adalah sistem yang highly nonlinear dengan terbatasnya jumlah sensor yang dimiliki untuk memperoleh semua informasi states. Akibatnya, sistem kolom distilasi diidentifikasi menggunakan pendekatan black-box modeling berbasis data input-output eksperimen memanfaatkan Artificial Neural Network (ANN) untuk memperoleh model Nonlinear Autoregressive with eXogenous inputs (NARX). Hasil dengan MSE terbaik dicapai pada kasus tanpa noise pengukuran menggunakan algoritma EKF dengan hyperparameter  yang menghasilkan MSE sebesar 6,9896e-05. Selanjutnya, dapat dilihat pula pada kasus dengan noise ringan, algoritma EKF dengan hyperparameter  mampu konvergen dengan paling cepat, yaitu pada sekitar instance ke-6. Untuk setiap kasus, secara umum, semakin kecil nilai  maka semakin cepat identifikasi sistemnya konvergen, namun dengan trade-off di mana MSE yang dihasilkan menjadi sedikit memburuk. Kata Kunci: sistem kolom distilasi, identifikasi sistem berbasis data, model NARX, algoritma EKF
DATA DRIVEN MODEL FREE SYSTEM IDENTIFICATION OF BATCH DISTILLATION COLUMN USING XGBOOST MACHINE LEARNING ALGORITHM Amalia, Hayati; Mahayana, Dimitri; Rusmin, Pranoto Hidaya
Instrumentasi Vol 47, No 2 (2023)
Publisher : National Standardization Agency of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/instrumentasi.v47i2.520

Abstract

The distillation process plays a crucial role in the chemical industry, enabling material separation, purification, and waste product disposal. Distillation columns, including the batch type, are widely used in industries due to their ability to produce raw materials for various applications. However, modeling and controlling batch distillation columns pose challenges due to their nonlinear and dynamic behavior. This paper presents a novel data-driven approach for system identification using XGBoost, an advanced gradient boosting algorithm, eliminating the need for explicit model equations. The proposed methodology leverages the power of XGBoost to learn the underlying system behavior directly from data. The paper provides an overview of the methodology, including data preprocessing, feature engineering, training the XGBoost model, and evaluating its performance. Techniques such as cross-validation and input feature delay tuning are also discussed to ensure robustness and optimal model performance. The effectiveness of the approach is demonstrated through various case studies and some comparisons. The results highlight the capability of the proposed model-free system identification methodology using XGBoost in accurately capturing the dynamics of batch distillation systems, offering potential for improved process control and optimization in the chemical industry.