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All Journal Jurnal E-Komtek Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Jurnal Teknik Sipil Macca Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jurnal Sistem Informasi dan Teknologi Informasi El-Hikmah Jurnal Ilmu Dakwah dan Komunikasi
luqman
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The Analisis Manajemen Risiko Teknologi Informasi Perusahaan Menggunakan Framework ISO 31000 (Studi Kasus: PT. Bank BTPN, Tbk) luqman
Jurnal Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2023): Journal of information system and information technology
Publisher : Himpunan Penggiat Teknologi Informasi Abrar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/siti.v2i2.252

Abstract

Bank BTPN is a bank engaged in general banking, resulting from the merger of PT. Bank Tabungan Pensiunan Nasional Tbk with PT. Bank Sumitomo Mitsui Indonesia. With the advancement of technology, information technology has been implemented in the business activities of banking companies. Running business processes certainly involves various risks with negative impacts. Therefore, the implementation of information technology risk management is necessary. The goal is to analyze and identify risks that may or have already occurred so that mitigation processes can be formulated. One method that will be used in the risk management analysis at PT. Bank BTPN Tbk is by using the ISO 31000 standard framework. The process involves risk identification, risk assessment, and risk evaluation phases. The results of this risk management process create a matrix of the likelihood and impact of identified risks. Applying IT risk management using the ISO 31000 framework is expected to assist PT Bank BTPN Tbk in preventing risks and addressing the negative impacts of these risks.
Tantangan Kritis dalam Pemungutan Pajak Sarang Burung Walet untuk Peningkatan Pendapatan Daerah di Kabupaten Ketapang Yanti, Mauliani Harva; Ibrahim; Luqman
Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Vol. 10 No. 2 (2024): Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora
Publisher : Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/alwatzikhoebillah.v10i2.2621

Abstract

The swallow's nest tax in Ketapang Regency holds substantial potential for boosting regional income, yet faces obstacles. This research identifies and analyzes issues in tax collection, focusing on the local government's efforts to maximize revenue. Using qualitative methods with a case study approach, primary data was collected through interviews, complemented by secondary data on local regulations, tax policies, and swallow's nest production statistics. Findings reveal: 1) Tax collection, as per Law No. 28 of 2009 (10% of selling price), is not burdensome but faces a Rp. 173 million leakage due to inadequate supervision by Bapenda during shipping. 2) Swallow's nest tax contributes 12.5% to Regional Revenue (PAD), ranking third in 2023 after BPHTB and MBLB. 3) Collection challenges include insufficient socialization, taxpayer awareness, ineffective supervision, and human resource competence. 4) Government efforts involve socialization, education, improved supervision during shipping, and enhanced human resource competence, especially in production estimation. Swallow's nest tax has regional development and community welfare potential, viewed positively in Ketapang Regency, with an Islamic perspective considering it mandatory charity (shodaqoh), indicating a significant contribution to regional development.
Nilai -Nilai Pendidikan Krakter Anak Usia Dini Dalam Al Qur’an Surah Al -Lukman Ayat 13-19 (Analisis Tafsir Al-Misbah Karya M. Quraisy Shihab) Amin, Abdul; Hudin, Hafid; Kurniawan, Heri; Luqman
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 2 (2025): FEBRUARI-APRIL
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i2.3068

Abstract

This study analyzes the values of early childhood character education in Surah Luqman verses 13-19 based on the tafsir Al-Misbah by M. Quraish Shihab. This surah contains fundamental teachings related to character building, including tawhid, filial piety, honesty, responsibility, patience, tolerance, as well as humility and courtesy. Through the tafsir study method, this study found that Quraysh Shihab emphasizes tawhid-based character education as the main foundation, followed by strengthening morals and ethics in social life. These values are taught through Luqman's advice to his son, which is not only relevant in the Islamic context, but also universal in the formation of early childhood personality. The results show that Surah Luqman verses 13-19 emphasize several fundamental character values, including tawhid, filial piety, honesty, responsibility, patience, tolerance, humility, and courtesy. These values play an important role in shaping children's moral and ethical foundations from an early age. This study highlights the importance of integrating these Qur'anic values in early childhood education to form individuals of strong character and deep spiritual awareness. This research contributes to Islamic education by providing insights into the implementation of character education based on Qur'anic teachings
MAQASHID AL-QUR’AN DAN KORELASINYA DENGAN ASBABUNNUZUL DALAM MENEGAKKAN KEADILAN DAN MEMBELA HAK YANG TERDZALIMI Luqman
El-Hikmah: Jurnal Ilmu Dakwah dan Komunikasi Vol. 15 No. 6, Juli (2021): El-Hikmah: Jurnal Ilmu Dakwah dan Komunikasi
Publisher : STID DI AL-HIKMAH

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

Abstract

Penelitian ini bertujuan untuk mengungkap korelasi maqashid Al-Qur’an dengan asbabunnuzul spesifik pada tema menegakkan keadilan dan membela hak yang terdzalimi. Penelitian ini akan dijawab melalui tiga pembahasan utama, maqashid Al-Qur’an mewujudkan maslahat hamba, asbabunnuzul sebagai perangkat wajib bagi seorang mufasir, dan korelasi maqashid Al-Qur’an dan asbabunnuzul dalam penegakan keadilan dan membela hak yang terdzalimi. Penelitian ini merupakan kajian pustaka, menggali leteratur-literatur ilmu tafsir maqashid Al-Qur’an dan asbabunnuzul, kemudian dikorelasikan dan dikaji melalui interpretasi-interpretasi kitab-kitab tafsir secara mendalam. Hasil penelitian ini menyimpulkan bahwa tujuan mulia Allah menurunkan Al-Qur’an (al-maqashid Al-Qur’aniyah) sangat erat hubungannya dengan asbabunnuzul, terdapat lima point yang barkaitan dengan penegakan keadilan dan membela hak yang terdzalimi. Pertama menegakkan keadilan bagi para pengku jabatan, kedua menegakkan keadilan walaupun terhadap musuh sekalipun, ketiga menegakkan keadilan ketika terjadi benturan kepentingan, keempat membela hak yang terdzalimi walaupun non-muslim, dan kelima menegakkan keadilan walaupun menyakitkan.
Comparative Analysis of the Accuracy of Multiple Linear Regression Method and Ridge Regression Method in Predicting Dengue Fever Cases in South Tangerang City Dina Aulia; Herman Bedi Agtriadi; Luqman
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2292

Abstract

One of the main health issues in South Tangerang City is dengue fever (DBD). This study aims to compare the accuracy of Multiple Linear Regression and Ridge Regression methods in predicting the number of DBD cases using weather data such as temperature, humidity, and average rainfall. The data used is monthly data from South Tangerang City. The analysis process includes preprocessing, splitting the dataset into training and testing data, and applying both regression methods. To determine the prediction error rate, model accuracy is evaluated using the Mean Absolute Percentage Error (MAPE) metric. The results indicate that Ridge Regression performs better for datasets with high multicollinearity, yielding a MAPE value of 20.12%, while Multiple Linear Regression is more effective for datasets with low feature correlation, showing a MAPE value of 44.6%. This study provides important insights into selecting predictive techniques based on the characteristics of the analyzed dataset. It is hoped that this research can improve mitigation and planning for DHF cases in South Tangerang City by choosing the appropriate approach.
Literature Study: Prediction of the Type of Company where Students Work Using Naïve Bayes and Neural Network Algorithms Saputra, Angga; Luqman; Herman Bedi Agtriadi
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2314

Abstract

Research was conducted to evaluate the effectiveness of various machine learning algorithms, such as Naive Bayes, Support Vector Machine, Random Forest, and Artificial Neural Network (ANN), in predicting and classifying data. Naive Bayes proved to be efficient and accurate in structured data classification, such as predicting alumni's waiting time to get a job (94%) and vocational school students' job readiness (96.95%). On the other hand, neural network methods such as ANN and GRNN are superior in handling non-linear regression problems, such as house price prediction or college students' study period, although there is still room to improve accuracy. Random Forest is more suitable for complex data, while Naive Bayes is more effective for simple data. This research emphasizes the importance of selecting relevant variables, such as gender, major, and GPA, to improve model performance. Therefore, the selection of machine learning methods should be tailored to the type of data and the purpose of the analysis, as each algorithm has its own advantages and disadvantages.
Implementation of Hybrid Recommendations in the Standardized Student Internship Assessment System At ITPLN Octaviasari, Afifah Nurlita; Agtriadi, Herman Bedi; Luqman; Jatnika, Hendra
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2287

Abstract

Student internship assessment is an important aspect of higher education, requiring objective and accurate standards. This research examines implementing a hybrid recommendation system to improve the internship assessment process at ITPLN. The hybrid recommendation method combines content-based and collaborative approaches so that it can provide more relevant and personalized recommendations. Through analysis of previous assessment data and feedback from students and supervisors, this system is designed to assess student performance more comprehensively. The research results show that the use of a hybrid recommendation system can increase accuracy and fairness in assessments, as well as provide additional insight for supervisors in providing evaluations. Thus, this research contributes to the development of better assessment systems in the context of professional education, especially in the fields of engineering and technology. It is hoped that the implementation of this system can become a model for other institutions in optimizing the student internship assessment process.
THE The Application of TOPSIS Method and Djikstra Algorithm in The Development of Potential Tourist Attractions on The Jakarta to Dieng Route Wiwit Rifayanto; Luqman; Herman Bedi; Rizqia Cahyaningtyas
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2289

Abstract

Finding the optimal route for several vehicles in determining destinations according to their travel needs, such as serving customers, finding places for tourism, finding destinations for personal, family, or community touring, or logistical distribution, has become an essential need today. Route selection with considerations of fuel cost savings, tolls, regional levies, dining or rest stops, and fuel refilling stations (gas stations) is also a critical basis for achieving travel objectives. This research was conducted through surveys of alternative routes from Jakarta to Dieng in Central Java, and interviews with motorcycle users for this journey (Motor Touring) conducted by a motorcycle community. The application of the TOPSIS method, which is then compared with the results of the Dijkstra Algorithm in determining a route, can be a solution in route selection, in this case, the route from Jakarta to Dieng (Central Java). Alternative routes with attributes such as route, travel time, road conditions, fuel refilling locations, and rest stops for meals or just drinks become significant factors considered by motorcycle enthusiasts for touring to a region. The selection of the right route recommendation makes this route the primary choice for motor vehicle users, with the busy traffic on this route positively impacting the local residents, who were previously vegetable or fruit farmers, by providing additional income through selling snacks, ready-to-eat meals, coffee, parking, rest areas, toilets, and necessities for the stay in Dieng, such as gloves, hats, and jackets.
Clustering Key Performance Indicators using Convolutional Neural Networks Dimas Arditya Pinandhito; Herman Bedi Agtriadi; Luqman
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2322

Abstract

Performance assessment based on Key Performance Indicators (KPI) is a crucial aspect in making strategic decisions in various industrial fields. Along with the development of artificial intelligence, the Convolutional Neural Network (CNN) method is starting to be applied to increase accuracy in KPI clustering. This research aims to analyze and compare the CNN approach in the KPI clustering process based on literature reviews from various scientific journals. The study results show that CNN is able to increase efficiency in KPI grouping with a better level of accuracy than conventional methods. This study is expected to provide deeper insight into the implementation of CNN in KPI analysis and open opportunities for further development in the future.
Evaluation of the Accuracy of the Naive Bayes Method in the Classification of Key Performance Indicators (KPIs) for Employees: Systematic Literature Review Chaerudin, Muhammad Farhan; Herman Bedi Agtriadi; Luqman
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2323

Abstract

This study aims to evaluate the accuracy of Naive Bayes' method in classifying employee Key Performance Indicators (KPIs) through the Systematic Literature Review (SLR) approach. By collecting and analyzing reputable journals published between 2019 and 2024, this study examines the effectiveness of Naive Bayes in evaluating employee performance. The results of the study show that Naive Bayes is able to achieve a fairly high accuracy, which is between 84% to 90%, in classifying employee KPIs. However, this accuracy can vary depending on the complexity of the data used. Some research suggests that other methods such as Support Vector Machine (SVM) or Decision Tree may be superior in certain situations, especially when the data used is more complex or non-linear. In general, Naive Bayes remains a popular choice due to its ease of implementation and speed in delivering results. This study concludes that the selection of classification methods should be adjusted to the characteristics of the data and the purpose of the analysis to ensure optimal results.
Co-Authors Amin, Abdul Angga Saputra Chaerudin, Muhammad Farhan Dimas Arditya Pinandhito Dina Aulia H, ST Maryam Heri Kurniawan, Heri Herman Bedi Herman Bedi Agtriadi Herman Bedi Agtriadi, Herman Bedi Hudin, Hafid Ibrahim Jatnika, Hendra Lambang Basri Said Octaviasari, Afifah Nurlita Rizqia Cahyaningtyas Syafrillah, Andi Muhammad Fajrin Mario Wiwit Rifayanto Yanti, Mauliani Harva